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اقتراح خوارزمية هجينة للتشفير الكتلي == Proposed Hybrid Block Cipher Algorithm

Author name: احسان احمد محمد لهمود
Supervisor name: عبد الكريم عكلة عبادي
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:
Abstract: يعتبر التشفير من المجالات الجيدة في الوقت الحالي كما نعلم ان الامن شرط اساسي لاي عمل ومن اجل ذلك نحن بحاجة الى خوارزمية قوية جدا وغير قابلة للكسر لتوفير اجراءات امنية مشددة.لذلك نحن نحتاج الى خوارزمية للتشفير وفك التشفير لتوفير امنية عالية جدا وانتاجية جيدة جدا. اذا نظرنا الى العالم الحقيقي، هناك الكثير من المنظمات التي لديها قاعدة بيانات كبيرة جدا مع اجراءات امنية مشددة. وفقا للقلق الامني، تعمل بعض خوارزميات التشفير وفك التشفير لحماية المعلومات السرية مثل DES و3DES وAES وBlowfish.تم اقتراح وتصميم خوارزمية هجينة لتشفير كتلة او لفك تشفيرها مكونة من 256 بت باستخدام مفتاح بطول 288 بت. يتم تحويل كتله بطول 32 - حرف من النص الواضح او النص المشفر الى 256 بت. يتم جدولة المفتاح السري لكي يم تطبيقه في عملية التشفير وفك التشفير. يتم اخضاع كتلة النص الواضح الى عملية التقلب الاولية، وفي نهاية التشفير يتم اخضاع النص المشفر الى التقليب النهائي. تم تصميم الخوارزمية المقترحة للدمج بين اثنين من الخوارزميات (على اساس فيستيل وغير فيستيل).استخدمت في هذه الاطروحة بعض من معاير التشفير الكتلي مثل الانتاجية لتوليد كتلة مشفرة حيث حققت انتاجية الخوارزمية المقترحة قيمة 27.240 كيلوبت في الثانية. اما بالنسبة لهجمات القوة الغاشمة حيث تحتاج 1079 X 1.57سنة اذا تم تطبيقها لمهاجمة مفتاح الخوارزمية ، حققت الخوارزمية المقترحة نسبة اكثرمن ٥٠% ضمن معيار SAC حيث كانت النسبة (٥١.١٧%) وكذلك بالنسبة لمعيار BIC حيث حققت نسبة (٥٣.١٢%). تم تنفيذ الخوارزمية المقترحة باستخدام لغة البرمجة (Microsoft Visual Basic.Net 2008) وعلى حاسوب ذو مواصفات (Windows 10 pro, processor : Intel(R) core (TM) i7 - 3612QM CPU @ 2.10GHz, RAM 6.00 GB, and system type : 64 - bit operating system). | The Cryptography is very good area for research now a days. As we know that security is very primary requirement for the any business. And we need very strong and unbreakable algorithm which provides high security. We need encryption and decryption algorithm which is having very high security with very good throughput. If we look at the real world, lots of organizations are having very large database with high security. Some encryption and decryption algorithms are working behind confidential information like DES, 3DES, AES and Blowfish.A proposed hybrid algorithm designed to encrypt or decrypt block of a message that consisting of 256 - bit with control of a 288 - bit as a key length. The blocks constructed by converting a 32 - charecter block of plaintext or ciphertext into 256 - bit. The secret key is scheduled to be applied to encrypt and decrypt. Plaintext block will be subjected to an initial permutation IP, and final permutation. The proposed algorithm designed in a fashion which belongs on two algorithms (based on Feistel and Non - Feistel). In this dissertation, some components used like throughput of generate encryption block. It has achieved as 27.240 Kbps. Based on brute force attacks may be applied on this algorithm where it needs 1.57x1079 years to attack the applied key, the security is provided in this algorithm achieved results more than 50% within criteria of SAC is (51.17%) and BIC is (53.12%). The proposed algorithm were implemented using the programming language (Microsoft Visual Basic.Net 2008) within computer information of (Windows 10 pro, processor : Intel(R) core (TM) i7 - 3612QM CPU @ 2.10GHz, RAM 6.00 GB, and system type : 64 - bit operating system)

تقييم الية الثقة في شبكات المركبات == Evaluation of Trust Mechanism for VANETs

Author name: حوراء عادل نوري
Supervisor name: ستار بدر سدخان المالكي
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
University: University of Babylon - College Of Science - Department Of Computer Science
Language: English
University location: Babylon
First pages:
Abstract: تدعم شبكة المركبات العديد من التطبيقات التجارية كانظمة النقل الذكية (ITS)، ولكن كان الدافع الاساسي وراء هذه الشبكات هو سلامة اتصالات الطريق الذي تعتمد فيه كل مركبة على الرسائل المرسلة لها من قبل نظائرها من المركبات الاخرى والتي قد تكون ضارة. ان الطبيعة المتغيرة والديناميكية لطبولوجيا الشبكة يجعل بامكان اي مركبة مغادرة الشبكة والانضمام اليها في اي وقت سواء كانت هذه المركبات موثوق بها ام لا. لذا يجب ان تتمكن كل مركبة من تقييم المعلومات الواردة لها من المركبات الاخرى واتخاذ القرارات بشانها والاستجابة لتلك المعلومات. عليه فبدون انشاء اليه مناسبة لادارة الثقة فان الاتصالات في هذه الشبكات قد تكون عرضه للتهديد الامني، حيث توجب الانظمة الامنية ان ياتي الارسال من مصدر موثوق لذا فان الثقة والامن مفهومان مترابطان لا يمكن عزلهما.لم يتحقق حتى الان تطوير نماذج امنة تماما لهذه الشبكات، لذا يهدف مجال البحث الجيد الى استثمار معظم الطرق السابقة في المؤلفات للبحث عن اطار عام لوضع اساس متين لتطوير الية احتساب السمعة والموثوقية في شبكات المركبات. يدعم هذا العمل امن شبكات المركبات من خلال استخدام تقنية الخوارزمية الجينية بالاضافة لنظرية اللعبة لتطوير الية ثقة متعددة الخصائص. | VANET support many commercial applications such as Intelligent Transportation Systems (ITS), but the original motivation behind it was safety of road communications where each vehicle has to rely on messages sent out by peer vehicles, which might be malicious. The dynamic changing nature of network topology makes any vehicle to leave and join the network at any point of time whether these vehicles were trusted or untrusted. Therefore, each vehicle must be able to assess, make decisions and respond to information received from other vehicles. So without having a proper mechanism for trust management, communication in VANET might be prone to security threat. Security systems impose that the transmission come from a trusted source, so trust and security are two interdependent concepts that there cannot be segregated.The development of fully secure schemes for these networks has not been entirely achieved till now. So, a good research field aims to exploit most of the previous approaches in literatures looking for a general framework to put solid basis to the development of Distributed Trust and Reputation Mechanism for VANET. The work supports the security of VANET by using a genetic algorithm technique in addition with game theory to develop a multi - featured trust mechanism

تحسين خوارزمية تشفير A5/1 بالاعتماد على تقنية الترشيح لتطبيق انترنيت الاشياء == Improvement of A5/1 encryption algorithm based on filtration technique for IoT Application

Author name: زينب حمزة جاسم
Supervisor name: ستار بدر سدخان المالكي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:
Abstract: The Internet of Things (IoT) is an environment in which people, animals or objects are equipped with individual identities and have the ability to transmit data across the network without the need for human - to - human or human - to - computer interaction.Security of IoT is very important because it is used in many fields and will have a big impact on the IoT industry. Internet of Things is similar to conventional computer networks, so security requirements such as confidentiality, integrity, availability and non - repudiation must be taken into account in building a network environment. One of appropriate solutions for providing security in IoT is cryptography. At present, traditional cryptography solutions focus on producing high levels of security, but they are slow in speed, large in size and consume a loT of energy, ignoring the conditions of constrained devices that use in IoT. These devices require appropriate cryptographic algorithms to suitable their characteristics, and this considers as big challenge.In this thesis, we propose a modification of the A5 /1 stream cipher to Internet of Things (IoT) by adding a fourth register and applying a filtration function on registers to increase the linear complexity of the algorithm and to strengthen the linear combination function (XOR) with remain total number of registers is 64 - bit. A5/1 Stream cipher is considered an efficient implementation of hardware, but insecure for use in such IoT applications. So we take efficiency implementation of hardware of A5/1 to produce proposed algorithm with the highest security, also efficient in hardware, and suitable for application in resource devices environments such as the Internet of Things. To make sure that the proposed algorithm as lightweight and can be applied to the constrained devices used within IoT, we have

طريقة تحليلية لانظمة التشفير الصوتي البايومتري == Analytical Approach of Biometric Based Voice Encryption System

Author name: علي كاظم مطر
Supervisor name: ستار بدر سدخان المالكي | بهيجة خضر شكر
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:
Abstract: There is no absolute security for important systems can ever get because attackers have always the ability to broke and attack them through their disadvantages. These days, biometrics is used to raise protection rate compared with the traditional methods. Authentication systems and cryptosystems are some of the important aspects of the practical life that use biometrics. The biometric voice is one of these traits that can build suitable secure systems according to the varying in the biometric voice.In this dissertation, two proposed analyzers were introduced to analyze Authentication system of biometric voice and the encryption process of the cryptosystems. The Authentication analyzer was used Additive White Gaussian Noise (AWGN) to stimulate effect of background/ transmission channel noise, and analyze the behaviors of the authentication system using FAR and FRR biometric performance measures.Performing proposed Authentication analyzer found degradation in the accuracy about (9.6% to 19.2%) in Splashdata database, about (1.9% to 5.7%) in Texas Instrument of Massachusetts Institute and Technology (TIMIT) database, and 0% in Texas Instruments - Digits (TIDIGITS) database of all selected members cannot be rejected illegally even when AWGN was reached 20 dB. SNR. Also, performing proposed Authentication analyzer found that the highest security degradation was about 0.05769 in Splashdata database, 0.01923 in TIMIT database and 0.05769 in TIDIGITS database of all selected members even when AWGN was reached 20 dB. SNR.The second proposed analyzer (Encryption analyzer) was also tested on the same databases to analyze them according to three randomness tests from National Institute of Standards and Technology (NIST) packages (pre - encryption phase), then these databases were also tested using Cross - correlation and Chi tests (post - encryption phase). These two phases produced two results by implementing two Mamdani fuzzifiers to get the certainty of each result. The final output of proposed Encryption analyzer was produced by merging the two previous Mamdani fuzzifiers in another final Mamdani fuzzifier.The performance of the Encryption analyzer was proved by classifying good/bad Keystream using the (post - encryption tests) and also with the comparison of the average value of other different 5 randomness tests from NIST.Finally, the ANFIS structure was used to generalize the hidden relationships that trained from the three randomness tests (pre - encryption process). The generalization process made ANFIS having the ability to predict the values of unseen (untrained) patterns. ANFIS results were promising results according to the proposed Encryption analyzer.Chapter

استخدام تقنية الحساب المرن لتقييم RSA وAES == Soft Computing Technique to Evaluate RSA and AES

Author name: فرقد حامد عبد الرحیم
Supervisor name: ستار بدر سدخان المالكي
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
University: University of Babylon - College Of Science - Department Of Computer Science
Language: English
University location: Babylon
First pages:
Abstract: Security evaluation algorithms can be considered as one of the most important challenges in computer networks. This is because of the growing data sharing among all clients (users). Therefore, the security level evaluation aspect of cryptography systems is recently appeared to be very important.In this work, evaluations of (RSA and AES) encryption methods are carried out by using Fuzzy Inference System (FIS) and Adaptive Neuro - Fuzzy Inference System (ANFIS). The editor of MATLAB (2013) is employed in this study and it contains a hybrid ANFIS facility between the Artificial Neural Network (ANN) and Fuzzy Logic techniques.First of all, designing and programming software codes for the first encryption method (RSA) have been simulated according to its original algorithm. Consequently, executing the RSA algorithm to collect the data values is implemented for the following parameters (message length, execution time, length of key and cipher message entropy). These parameters have been considered in the proposed approaches. So, the RSA data is used as the bases of the FIS inputs. Then, all the training and testing data values have been collected from the proposed FIS and prepared to be used in the next step (the ANFIS). The number of training samples has been selected to be 100 values by executing special software programs. These values have been utilized as follows : opening the ANFIS editor; loading the training data; determining the main ANFIS parameters and training the data with the least error tolerance. Subsequently, the number of testing samples has been chosen to be also 100 values by implementing special software programs. Hence, the evaluations are observed and the characteristics of the ANFIS which attained the best tested results have been benchmarked. Similar steps to evaluate the RSA by using large key numbers are implemented except of utilizing the parameter (key length) to study the influence of the key value on security evaluations. The proposed FISSecurity evaluation algorithms can be considered as one of the most important challenges in computer networks. This is because of the growing data sharing among all clients (users). Therefore, the security level evaluation aspect of cryptography systems is recently appeared to be very important.In this work, evaluations of (RSA and AES) encryption methods are carried out by using Fuzzy Inference System (FIS) and Adaptive Neuro - Fuzzy Inference System (ANFIS). The editor of MATLAB (2013) is employed in this study and it contains a hybrid ANFIS facility between the Artificial Neural Network (ANN) and Fuzzy Logic techniques.First of all, designing and programming software codes for the first encryption method (RSA) have been simulated according to its original algorithm. Consequently, executing the RSA algorithm to collect the data values is implemented for the following parameters (message length, execution time, length of key and cipher message entropy). These parameters have been considered in the proposed approaches. So, the RSA data is used as the bases of the FIS inputs. Then, all the training and testing data values have been collected from the proposed FIS and prepared to be used in the next step (the ANFIS). The number of training samples has been selected to be 100 values by executing special software programs. These values have been utilized as follows : opening the ANFIS editor; loading the training data; determining the main ANFIS parameters and training the data with the least error tolerance. Subsequently, the number of testing samples has been chosen to be also 100 values by implementing special software programs. Hence, the evaluations are observed and the characteristics of the ANFIS which attained the best tested results have been benchmarked. Similar steps to evaluate the RSA by using large key numbers are implemented except of utilizing the parameter (key length) to study the influence of the key value on security evaluations. The proposed FISSecurity evaluation algorithms can be considered as one of the most important challenges in computer networks. This is because of the growing data sharing among all clients (users). Therefore, the security level evaluation aspect of cryptography systems is recently appeared to be very important.In this work, evaluations of (RSA and AES) encryption methods are carried out by using Fuzzy Inference System (FIS) and Adaptive Neuro - Fuzzy Inference System (ANFIS). The editor of MATLAB (2013) is employed in this study and it contains a hybrid ANFIS facility between the Artificial Neural Network (ANN) and Fuzzy Logic techniques.First of all, designing and programming software codes for the first encryption method (RSA) have been simulated according to its original algorithm. Consequently, executing the RSA algorithm to collect the data values is implemented for the following parameters (message length, execution time, length of key and cipher message entropy). These parameters have been considered in the proposed approaches. So, the RSA data is used as the bases of the FIS inputs. Then, all the training and testing data values have been collected from the proposed FIS and prepared to be used in the next step (the ANFIS). The number of training samples has been selected to be 100 values by executing special software programs. These values have been utilized as follows : opening the ANFIS editor; loading the training data; determining the main ANFIS parameters and training the data with the least error tolerance. Subsequently, the number of testing samples has been chosen to be also 100 values by implementing special software programs. Hence, the evaluations are observed and the characteristics of the ANFIS which attained the best tested results have been benchmarked. Similar steps to evaluate the RSA by using large key numbers are implemented except of utilizing the parameter (key length) to study the influence of the key value on security evaluations. The proposed FISapproach confirmed that the RSA evaluation is successfully implemented to the ANFIS editor.All the previous steps are repeated for the AES encryption method except one difference. That is, the utilized parameters here are the (message length, execution time and cipher message entropy). Basically, two key values are determined for the AES, which equals to 128 bits. Likewise the RSA, the suggested procedures are applied to the AES and the proposed FIS approach confirmed that the AES evaluation is successfully implemented to the ANFIS editor.Finally, comparisons between this study and previous work, and between the RSA and AES are established. In addition, comparisons between the evaluated outcomes of the FIS and ANFIS have been investigated by using two statistical metrics.

عنقدة الصور اعتمادا على طريقة كسورية مطورة وتنقيب المخططات == Image Clustering Based on Developed Fractal Method and Graph Mining

Author name: فراس صبار مفتن
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:
Abstract: تشير عنقدة الصور الى تقسيم الصور الى عدة مجاميع. حيث كل مجموعة تسمى عنقود حيث يحتوي على صور متشابه في الخصائص ولكنها مختلفة عن الصور في العناقيد الاخرى. يمكن تفسر الخصائص الشاملة كميزات احصائية على انها خاصية للصورة تشمل جميع وحدات البكسل المستخدمة لحساب التشابه بين الصور. استخدمت هذه الاطروحة الكسور كخصائص محلية لتمثيل الصورة تستند الى مناطق بارزة في حين تبقى ثابتة لتغير نقطة النظر والاضاءة. تعتبر الكسور شائعه لقدرتها على استخراج ميزة التشابه الذاتي. ولفترة طويلة، استخدم الباحثون الكسور لضغط الصورة. على مدى السنوات الاخيرة، تم تطبيقها في التنقيب على البيانات. لهذه الاطروحة هدفين رئيسيين : اولا لدراسة القدرة على استخراج خصائص التشابه الذاتي من الصور دون استخدام بعد الكسور والذي يعتبر حساس للضوضاء العددية او التجريبية ومقيد بكمية البيانات. وثانيا لبناء الرسم البياني على اساس الميزات المستخرجة وتطور خوارزمية تجميع بالاعتماد على الرسم البياني.وينقسم النظام المقترح الى مرحلتين، بناء مصفوفة التشابه بواسطة طريقة كسورية وخوارزمية تنقيب المخططات. تم تطبيق PIFSلاستخراج ميزات التشابه الذاتي من صورة واحدة فقط. ولكن في هذه الدراسة كيفت PIFS لاستخراج ميزات التشابه الذاتي من العديد من الصور. بسبب ان PIFS تستغرق وقتا طويلا، فقد تم تكييفها للعمل مع تقنيات المطابقة والتقليل، وايضا تم استخدام الدالة الهاش للحد من تعقيد الوقت. واستخدم النظام المقترح مصفوفة تشابه لبناء المخطط ووضع خوارزمية عنقدة شبكية تعتمد على خصائص كسورية التوصيل بين العقد التي تمثل صور.استخدمت عدة بيانات لاختبار النظام المقترح. ولان النظام ينقسم الى مرحلتين، الاولى بناء مصفوفة التشابه والثانية هي خوارزمية تجميع الرسم البياني. لذلك، تم اختبار كل مرحلة بشكل منفصل. في الاول، يتم اختبار بناء مصفوفة التشابه (الميزات المستخرجة) مع خوارزمبة K - means لمعرفة صحة الميزات المستخرجة.وتم اقتراح طرائق لتقليل وقت التنفيذ ومقارنتها مع الطرائق التقليدية. وخفضت دالة الهاش التعقيد من O(m×n) الى O(m log⁡n) بينما قللت المطابقة والتقليل التعقيد الى O(m×n/t) حيث t عدد دوال المطابقة.اما طريقة التجميع البيانية المقترحة تم اختبار صحتها باستخدام البيانات الحقيقية واستخدمت المقاييس النمطية، الموصلية، التغطية، وكثافة الجودة وتم عرض النتائج والتحقق من صحتها من الناحية العددية والبصرية مع عدد عقد المختلفة. وقد اظهرت النتائج التي تم الحصول عليها دقة بين 0.80 و0.99 لجميع المقاييس.واظهرت النتائج ان للكسور قدرة كبيرة على استخراج ميزة التشابه الذاتي لاستخدامها في التنقيب عن الصور مثل التجميع. واعطت خصائص التشابه الذاتي كسورية نتائج جيدة. وان الميزات المستخرجة مشابه الى مصفوفة المجاورة التي يتم استخدامها لتمثيل الرسم البياني. لذلك، تعتبر بنية جيدة لتمثيل الرسم البياني. | Image clustering refers to the division of images into various sets of images. In this regard, each set known as cluster includes images that are similar in features to each other but different those of other sets. The global features as statistical features can be interpreted as a particular property of image involving all pixels were used to calculating similarity among images by most of the researchers. This thesis used fractal features as local features to represent an image based on salient regions while remaining invariant to viewpoint and illumination changes. Fractal is popular because of their ability to extract the self - similarity feature. For a long time, researchers used fractals for image compression. Over the latest years, they have been applied in mining. This thesis has two major purposes, first to studies the ability to extract fractal Self - similarity features from images without using fractal dimension which is sensitive to numerical or empirical noise and limitations in the amount of data. Second to constructs graph based on extracted features and develops graph cluster algorithm.The proposed system is divided into two phases, the Similarity Matrix construction by a fractal method and a Graph Clustering algorithm. Partitioned Iterated Function Systems (PIFS) is applied to extracting Self - similarity features from just one image. This study developed PIFS to extracting Self - similarity features from many of images. Since the PIFS algorithm is time - consuming, it has been adapted to work with Map - Reduce techniques and also hash function was used to reduce the time complexity. The proposed system used similarity matrix to construct a graph structure and developed a graph clustering algorithm based on connectivity fractal features among nodes that represents as images.Each phase was tested Separately. In the first phase, Similarity Matrix construction (features extraction) is tested with K - means clustering algorithm to find out the correct features extracted. The B - Cubed recall and precision are estimated with good results to precision and recall accuracy.Then proposed methods of reducing time complexity results is presented and compared with traditional methods. The hash function reduced the complexity O(m×n) to O(m log⁡n) while Map/reduce technique reduce the complexity O(m×n) to O(m×n/t) for time where t is a number a of map task.The second phase, Graph Clustering algorithm is tested with the real - world graph dataset. The clustering result was evaluated by Modularity, Conductance, Coverage, and Density Quality Metrics and the results were presented and validated both numerically and visually with different nodes number. The obtained results have shown accuracy between 0.80 and 0.99 for all metrics.

نظام الكشف التعاوني عن هجومات الفيضان الموزعة للحرمان من الخدمة والتعقب المستوحى من مجتمع العناكب الاجتماعية == Collaborative Detection System of DDoS Flooding Attacks and Tracing Inspired by Social Spiders Society

Author name: عادل محمد سلمان القريشي
Supervisor name: صفاء عبيس المعموري
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:
Abstract: لا تزال شبكة الانترنيت تعاني من المشاكل الامنية التي تهم بشكل رئيسي الاشخاص الذين يستخدمون اجهزتهم للاتصال بالانترنت، سواء كانوا افراد او مؤسسات كبيرة. الهجمات الموزعة للحرمان من الخدمة، لا تزال واحدة من اهم المواضيع التي يتم مناقشتها حاليا في تهديدات امن الشبكات للشركات التي تقدم الخدمات لعملائها. في هذه الاطروحة، تم اقتراح نظام الكشف التعاوني. واستند على مرحلتين : (1) مرحلة الكشف؛ (2) مرحلة التعقب. اعتمادا على الفكرة المستوحاة من مجتمع العناكب الاجتماعية، تم تصنيف اجهزة التوجيه الى نوعين، على النحو التالي : (1) جهاز التوجيه الذكر، الذي هو مرتبط مباشرة مع الخادم؛ (2) جهاز التوجيه الانثى، والذي هو كل جهاز توجيه غير مرتبط مباشرة مع الخادم. ويتميز النظام المقترح بانه حل قائم على جهاز التوجيه وعلى فحص التدفقات.يمكن تقسيم مرحلة الكشف الى اربع خطوات، على النحو التالي : (1) جمع البيانات؛ (2) معالجة البيانات واستخراج الميزات؛ (3) بناء نموذج التصنيف، باستخدام خوارزمية شجرة القرار عالية السرعة (VFDT) كخطوة للكشف المبكر، والتي سيتم استخدامها من قبل كل جهاز توجيه انثى في الشبكة؛ (4) كشف الشذوذ (الهجوم) باستخدام خوارزمية الغابات العشوائية (RF) للتصنيف، والتي سيتم تنفيذها في كل جهاز توجيه ذكر. الجمع بين هاتين الخوارزميتين سوف ينتج عنه خوارزمية تصنيف جديدة تسمى هوفدينغ الغابات العشوائية (HRF).تبدا مرحلة تتبع مصادر الهجوم عندما يتم العثور على بيانات الهجوم. جهاز التوجيه الذكر القريب من الخادم الضحية سوف يتتبع مصادر الهجوم بالاعتماد على قيمة الاهتزاز للتدفق، ثم رفع الانذار وارسال جميع المعلومات الى مسؤول الشبكة لاتخاذ الاجراءات اللازمة. وقد استلهمت قيمة الاهتزاز من مجتمع العناكب الاجتماعية، والذي هو قيمة تاثير جهاز التوجيه الانثى على كل تدفق يمر من خلاله.وقد تم استخدام برنامج محاكاة شبكة NS3 لتوليد بيانات الشبكة. ثم الحصول على النتائج واختبار النظام بواسطة برنامج مبرمج باستخدام لغة C++. وعلاوة على ذلك، طبقت عدة تجارب، وتم اعتماد تجربتين لاختبار النظام المقترح، الاول هو 90 ثانية، في حين ان الثانية هي 1200 ثانية. اجريت هذه التجارب لتوليد البيانات العادية وكذلك توليد بيانات هجوم الفيضان الموزع للحرمان من الخدمة للنوعين TCP وUDP. تم اختبار البيانات التي تم توليدها لاثبات ما اذا كانت مشابهة للبيانات الحقيقية عن طريق اختبار اثنين من الخصائص التي هي التباين العالي والتشابه الذاتي. وقد اظهرت النتائج ان البيانات التي تم توليدها لها نفس خصائص البيانات الحقيقية، وتمت الموافقة على نسبة حوالي 95٪.بالاضافة الى ذلك، لتقييم اداء خوارزمية هرف الجديدة، تم استخدام ثلاثة تدابير : (1) نسبة دقة التصنيف، والتي كانت 99.9983٪ و99.9990٪ على التوالي لكل من التجارب (90 ثانية و1200 ثانية). (2) معدل الكشف، والتي تبين 9.9996٪ و99.9997٪، على التوالي، لكلا التجربتين. و(3) نسبة الانذار كاذب، كان 0.016٪ و0.0088٪ على التوالي لكلا التجربتين. وكان متوسط وقت الكشف 21.71 و28.46 ثانية لكل من التجارب على التوالي.يستخدم النظام المقترح مبدا تقليل السمات المستخدمة في التصنيف، مما ادى الى انخفاض في حجم الذاكرة المستخدمة بنسبة 62.96٪ وانخفاض في مساحة القرص الثابت المستخدم بنسبة 51.75٪.واخيرا، في عملية البحث عن المفقودين، والوصول الى اقرب جهاز التوجيه الاناث الى مصدر الهجوم، حيث تم تحديد معظم هذه الموجهات، لكلا التجربتين، مع نسبة 100٪. | The Internet still suffers from security problems which are the main concern for those connected via their devices, whether they are individuals or institutions. The Distributed Denial of Service (DDoS) attacks are still one of the most significant current discussions regarding network security threats for companies providing services to their clients.In this dissertation, a collaborative detection system which proposed is based on two parts : (1) the Detection phase, and (2) the Tracing phase. Inspired by the social spider’s society, the routers were classified into two types : (1) Male router, which is near the server and directly connected with it; and (2) Female router, which is near the user and directly connected with it or between the user and the server. The proposed system is characterized as a router - based and flow - based solution.The detection phase can be divided into four steps : (1) data collection; (2) data preprocessing and extraction of features; (3) building the classification model, using a Very Fast Decision Tree (VFDT) algorithm as an early detection step, which will be used by each female router in the network; and (4) anomaly (attack) detection using the Random Forest (RF) algorithm for classification, which will be implemented in each male router. The combination of these two algorithms will generate a new classification algorithm called the Hoeffding Random Forest (HRF).The tracing phase will be started when the attack data is found. The male router near the victim server will trace the attack sources based on the value of the vibration of the flow, then raise the alarm and send all the information to the network administrator, to take an action. The vibration value has been inspired by the social spider’s society, which is the effect of the female router on each flow passing through it.NS3 network simulation software has been used to generate the network data. Then obtain the results and test the system by a software programmed by C++. Moreover, several experiments were applied, and two experiments were adopted to test the proposed system; the first is 90 seconds, while the second is 1200 seconds. These experiments were performed to generate normal data and DDoS flooding attack data for TCP and UDP types. The generated data has been tested to prove if it is similar to the real data by testing two critical characteristics : high - variability and self - similarity. The results show that the generated data has the same characteristics as the real data, and is approved with ratio approximately 95%.Additionally, to evaluate the performance of the new HRF algorithm, three measures have been used : (1) classification accuracy ratio, which was 99.9983% and 99.9990% respectively for both experiments (90 sec. and 1200 sec.); (2) detection rate, showing 9.9996% and 99.9997%, respectively, for both experiments; and (3) false alarm, was 0.016% and 0.0088% respectively for both experiments. The average of the detection time was 21.71 and 28.46 seconds for both experiments respectively.The proposed system uses the principle of reducing the features that used in the classification, which led to a reduction in the used memory size by 62.96% and a reduction in the used hard disk space by 51.75%.Finally, in the tracing process, accessing the nearest female router to the source of the attack, where most of these routers have been identified, for both experiments, with ratio 100%.

تنقيب محتويات وبيانات استخدام الشبكة العنكبوتية بالاعتماد على تقنيات العنقدة المحدثة == Web Content and Usage Mining Based on Modified Clustering Techniques

Author name: احمد جبار عبيد
Supervisor name: توفيق عبد الخالق الاسدي
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:
Abstract: The extensibility of diversified information that available on the Web along with massive users' have accessed to the Web services frequently produce several challenges related to such critical tasks such as controlling, monitoring and perception of the Web contents. However, novel techniques must be used to satisfy the modernistic requirements and provides better understanding to the colossal collection of diversity data types that is growing in fast manner every day on the Web.Web Mining is an extension of Data Mining techniques upon the data that stored on the Web. Web Mining is classified into three categories based on the type of data that used in mining process which are : Web Content Mining (WCM) is concern with the process of extract useful information from Web pages' contents, Web Usage Mining (WUM) is concern with discovering users' access pattern from Web usage data, and finally Web Structure Mining (WSM) is concern with extracting knowledge from the structure of the hyperlinks. Web documents are the most complex data that scattered on the Web in random way and a lot of these documents are created without any prior information. Unsupervised Data Mining Clustering technique, is one of the most usage techniques that aim to portioned out the objects into set of coherence groups, where the objects in a cluster are having common patterns than objects in other clusters.In this dissertation, the task of Web Mining is divided into two parts based on the data collected from the universities of (Kufa, Technology, Anbar and Diyala). First part is hold the Web documents by applying WCM techniques upon the Web Pages and Images of the universities Web sites, while second part is consider applying WUM techniques upon the Web usage data that collected from the Kufa university Web server. Proposed system consist of two parts : first part uses a novel approach to pre - process and extract unobserved patterns from Web pages' text blocks content,

محاكاة لتقيم اداء شبكة المركبات اللاسلكية المخصصة (VANET) == Simulation of Performance Evaluation For VANETs

Author name: زهراء ياسين حسن
Supervisor name: سعد طالب حسون الجبوري
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:
Abstract: النسخة الجديدة المعدلة من شبكات العقدالمتنقلة تدعى شبكات المركبات المخصصة والتي تعتبر واحدة من مشاريع "انترنت الاشياء" . يهدف VANET لتوظيف واستخدام تقنيات مخصصة لتخفيف الازدحام على الطرق في الوقت الحقيقي. لديها تاثير كبير على المجتمع عن طريق الحد من الوقت الذي يستغرقه السفر، واستهلاك الوقود، حياة الركاب واخيرا لتوفير المال. في بيئة شبكات المركبات المخصصة تمثل كلمة مركبة عقدة ذكية مع القدرة على التواصل مع الجيران المتحركة في الشبكة. VANET يقدم جوانب من التحديات اكثر مقارنة بال (MANET) بسبب كثرة تنقل العقد وتغييرات الهيكل سريعة في VANET. وقد تم تصميم عدة بروتوكولات التوجيه قدمها الباحثون بعد النظر في التحديات الكبرى المشاركة في VANETs. في هذه الاطروحة عدة منهجيات مقترحة وهي(نهج البث , نهج العنقدة, نهج محرك الجدول ونهج الاستعلام) لغة Net Logo هي اداة المحاكاة المقترحة لاستخدامها في برمجة,تصميم , خلق وتطبيق عدة هياكل لمختلف خرائط الطرق وهي (الطريق المفرد, الطريق المزدوج , طريق التقاطعات وطريق الاستعلام) . بيئة الطريق وغيرها من العوامل واللوائح واقتراحات الحالة سوف تختلف عن الاخرين. ثلاثة اشكال جديدة من نماذج الطرق هي مقترحة لتكون مطبقة ومجربة بواسطة نظام VANET . المحاكاة سوف تكون مستخدمة لملاحظة وقياس السلوكيات بواسطة توليد وجمع البيانات المطلوبة والعوامل والمعاملات. عدة مقاييس اداء يمكن ان تستخدم لتقيم اداء الشبكة مثل PDF,NRL , الانتاجية, عدد الرسائل المستلمة وعدد الرسائل المفقودة . النتائج النهائية اوضحت بان عدد المركبات, سرعة المركبات , ازدحام الطرق ومدى التغطية تمتلك تاثير ملموس على اداء شبكات ال VANET . | The new modified version of mobile Ad hoc Network called "Vehicular Ad hoc Network" (VANET) which considered as one of the projects of Internet of Things (IoT). VANET aims to employ and utilize ad hoc technologies to alleviate Road Congestion in real time. It has a great impact on the society by reducing travel time, fuel consumption, passenger's life and finally to save money. In VANET's environment, the word Vehicle represents an intelligent node with a capability to communicate with mobile neighbors in the network. VANET introduces more challenges aspects as compare to Mobile Ad - Hoc Network (MANET) because of high mobility of nodes and fast topology changes in VANET. Several routing protocols have been designed and presented by researchers after considering the major challenges involved in VANETs. In this thesis, several approaches : (Broadcast approach, Clustering approach, Table - Driven approach and Queering road approach) are suggested, Net Logo simulator is proposed to be used in programming, designing, creating and implementing several structures for different road maps. The road environment and other factors, regulations and case suggestions will differ from others. Foure new road model forms : ( Single way road model, Two way road model, Junction road model and Queering road model) are suggested to be implemented and tested by VANET system. The simulation will be used to observe and measure their behaviors by generating and collecting the required data, factors and parameters. Many performance metrics can also be used to evaluate this network behavior; such as Packet Delivery Fraction (PDF), Throughput, End to end delay, dropped and received messages. The final results showed that the number of Vehicles, Vehicles speeds, traffic intensity and the coverage area having a tangible effect on the performance of VANET’s networks.

تحسين التنبؤ الامراض اعتمادا على طريقة مجموعة التقريب المعدله وطريقة شجرة القرار ذات العامل الاكثر شيوعا == Diseases Prediction Improvement Based on Modified Rough Set and Most Common Decision Tree

Author name: علي عبد الكريم رحومي السماك
Supervisor name: ايمان صالح الشمري
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:
Abstract: في قطاع الرعاية الصحية, يكون التنبؤ بنوع او شدة الامراض من الامور المهمة لمساعدة الاشخاص لمعرفة مستواهم الصحي واتخاذ الفعاليات المناسبة لتحسين صحتهم. حيث تم تطبيق مبدا جديد من طريقة التقريب والتي اطلق عليها اسم طريقة التقريب المعدله لاختيار الصفات وكذلك تم اقتراح طريقة شجرة القرار ذات العامل الاكثر شيوعا بالاعتماد على ثلاث مقاييس للنقاوة لتحسين كفاءة التنبؤ في طريقه شجرة القرار. يتكون هذا العمل من عدة مراحل : اولا، مرحلة المعالجة المسبقة وتتكون من ثلاث مراحل فرعية هي : اقتراح طريقة MRA لملئ القيم المفقودة في مجموعة البيانات ,التجميع لتدريج قيم بعض الصفات ,واخيرا التسوية.ثانيا، ايجاد درجة الموثوقية لكل ميزة، طريقة التقريب المعدلة (MRS) المقترحة تستخدم لتحديد الميزات الهامة والمؤثرة، حيث المخرج من هذه المرحلة ثلاثة اجزاء وفقا لدرجة اهمية المميزات : المجموعة المهمة جدا والمجموعة المهمة والمجموعة غير المهمة.ثالثا، التنبؤ بنوع او شدة الامراض بالاعتماد على شجرة القرارات ذات العامل الاكثر شيوعا (MCDT) لاتخاذ القرار حيث تم اقتراح اسلوب MCDT لتحسين عمل شجرة القرار في عملية اتخاذ القرار. حيث تستخدم MCDT ثلاثة مقاييس نقاوة لاختيار الجذر الاصلي / الجذر الفرعي للشجرة وكذلك قيمة فئة من كل ميزة. رابعا، تقييم النظام باستخدام مقايسس التقييم. حيث استخدم ثلاثة - دورات في عملية الاختبار. حيث تم تطبيق النظام المقترح على العديد من الامراض ثنائية ومتعددة الاصناف وتحديدا امراض القلب من الدرجة الثنائية (BHD) لديها (صنفين) ، وامراض القلب متعددة الاصناف (MHD) لديها (5 اصناف) والامراض الجلدية لديها (6 اصناف).واخيرا, تم مقارنة MCDT مع اساليب اخرى من طرق شجرة القرار مثل ID3، J48 حيث ان دقة الطريقة المقترحة التي تم الحصول عليها افضل من الطريقتين السابقة. وكذلك تم تطبيق طرق اخرى مثل شبكة بايز ونايف بيز وبينت النتائج كفاءة طريقة MRS باستخدام مقاييس التقيم. حيث ان افضل دقة لبيانات الاختبار تم الحصول عليها في بيانات القلب ذات التصنيف الثنائي هي 94.06 عند استخدام طريقة شجرة القرار باستخدام العامل المشترك الاكبر مع المجموعة الاكثر اهمية باستخدام البيانات المجمعة وافضل دقة لبيانات الاختبار تم الحصول عليها في بيانات القلب متعددة الاصناف هي 76.24 عند استخدام طريقة شجرة القرار باستخدام العامل المشترك الاكبر مع المجموعة الاكثر اهمية والمجموعة المهمة معا باستخدام البيانات المجمعة وافضل دقة لبيانات الاختبار تم الحصول عليها في بيانات الامراض الجلدية متعددة الاصناف هي 100 باستخدام طريقة شجرة القرار باستخدام العامل المشترك الاكبر عند اختيار جميع الخصائص. | In the health care sector predict the type or severity of the disease is important for helping people to knowledge their health standard and take action to improve their health. A Modified Rough Set (MRS) has been employed as a new model for features selection as well as Most Common Decision Tree (MCDT) has been suggested to improve the performance of decision tree prediction. This work consists of many stages : First, preprocessing stage which contains two sub stages : A Mode - Relation - Average (MRA) method for interpolating missing values, a grouping for scaling some of features values.Second, finding Reliability Degree of each feature using MRS which has been proposed to determine the important and influential features. The output of this model is three subsets graduate according to the importance degree of features : Most Important (MI), Important (I) and Unimportant (UM).Third, prediction type or severity of disease based on supervised learner MCDT for making decision where a MCDT style has been proposed to improve working of decision tree. It uses three impurity measures for choosing root/sub root of the tree and category value of each feature. Fourth, system evaluations using evaluation measures. Three - cross validation is used in the testing process. The proposed system has been applied on Binary classes of Heart Disease (BHD), Multi classes of Heart Disease (MHD) (5classes) and Dermatology Disease (DD) (6classes). Finally, the proposed methods have been compared with the other decision tree methods such as ID3 and J48, the Accuracy obtained using the proposed methods are better than two previous methods. Also other prediction methods are applied such as Bayes Net and Naive Bayes. The results show the efficiency of MRS model by using the evaluation measures. The best accuracy measure for testing data was 94.06, 76.24 and 100 for MCDT using MI set of BHD by grouping data, MCDT using MI set and I set of MHD by grouping data, and MCDT using full attributes of DD.

تمييز حركة الكائن المفرد اعتمادا على نظرية تاكوشي للامثلية ومجموعة الخام للتصنيف == Single Object Motion Categorization Based on Taguchi Method Optimization and Rough Set Classification

Author name: عادل عباس مجيد الربيعي
Supervisor name: اسراء هادي علي الشمري
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:
Abstract: تعتبر انظمة التتبع الفيديوية ذات اهمية كبيرة في عالمنا الحديث. لاعتبارها احد الفروع الهامة من علوم الحاسوب التي تتعامل مع عدة مواضيع مثل الامن، الطبية، القضائية او الطب الشرعي، الرياضة وغيرها من المجالات الحيوية والحياتية الاخرى.ان المشكلة الاساسية التي تم تناولها ودراستها في بحثنا هذا كيفية الكشف عن حركة الاجسام او الاشخاص والتركيز لايجاد نوع وشكل الحركة للاجسام في الافلام.الحصول على معلومات اضافية من الفيديو ادت الى تجميع بعض الافكار لبرهنة او دحض بعض الحقائق. وكذلك ايجاد الدوال المناسبة لها والتي تمثل نوع الحركة للجسم، حيث تم استخلاص الصفات المهمة لمسار الجسم مع تحديد وزن كل صفة وهذا مما يؤدي تقليل الزمن المستهلك في تطبيقات التعقب الفديوي. تم استخدام طرق الرياضيات الحديثة لغرض تصنيف الحركات المتنوعة والمتشابهة في الشكل للاجسام التي يتم تعقبها بالاعتماد على قاعدة بيانات ذات مقاييس عالمية. هناك الكثير من التحديات التي تواجه عملية تعقب الاهداف المتحركة، مثل فصل الجسم او الهدف عن خلفية المشهد، نحن نستخدم طريقة محدثة من الرسم البياني التراكمي لبناء قالب للمشهد الخلفي. بعد ايجاد مسار الجسم نحن نختار عدد من الصفات الملائمة مثل (الازاحة، السرعة، الفرق في الطول، الميل) لغرض تحديد شكل وطبيعة حركة الجسم.في بحثتا هذا استخدمنا ثلاث طرق وقارنا بينها (الميل، الانحدار، وصف فورير) لحركة الاجسام لكي نحدد شكل الحركة (مستقيم، دائرة، قوس، بيضوي، متذبذب، حرف اس ....الخ) واستنتجنا ان طريقة الميل هي الافضل من حيث الزمن المستهلك وغير مكلفة حسابيا. في مرحلة الامثلية التي تعتبر جزء مهم في انظمة التعقب الفيديوي، وظفنا نظرية تاكوشي لتحديد الاعلى وزنا لافضل خاصية من الخواص المستخلصة مما يؤدي لتقليل الزمن المستهلك في التطبيقات. لتصنيف انواع عديدة من حركة الاشخاص نحن نعتمد على موديل مجموعة الخام لبناء نظام المعلومات وعدد من القواعد لتمييز شكل الحركات المتداخلة مثل (الانحناء، رفع اليد والساق في نفس المكان، القفز مع الحركة، القفز في نفس المكان، الركض، الحركة الجانبية، القفز بقدم واحدة، المشي، الحركة الموجية) في عملية التصنيف. في النهاية، للكشف عن البحث وما يتضمنه من تجارب يمكن متابعة الفصل الثاني والثالث بشكل مفصل علما ان وثوقية النظام بلغت بحدود 93% بعد اجراء الكثير من التجارب بالاعتماد على قاعدة بيانات قياسية تسمى "ويزمان | Video tracking systems (VTS) is a matter of interest in this modern world, because it regarded as one of important branches of computer science which deals with several subjects such as security, medical, judicial or forensic, sports and other vital fields of life.The main problem that has been addressed, studied and analyzed in this thesis is how can detect and recognize objects (persons) motions? farther more this work was concentrated on finding the shape and form of a movement of person or objects in a video. Getting additional information from a video will enable the author to sum the ideas in order to prove or disprove some facts. For instance, finding and manipulating the trajectory of object and mathematical models used in analyzing. Finding the suitable functions which represent types of objects’ motions, extract important features of trajectory object’s moving, in order to find optima features by determine the weight of each features. This reduce the consume time in video tracking application. Using the modern mathematical models to classify object motion and determine the types and form of them. This is based on standard database (Weizmann). There are some difficulties facing the process of tracking moving targets such as separate the object or target from the background of scene. In order to build a background template model which is used an upgrade accumulative histogram technique.Finding the trajectory of object, and selecting a number of appropriate motion attributes such as (displacement, velocity, differences in length and slope), enable us to determine the form and the nature of the motion object movement.In this work three methods “Slope, Regression and Fourier descriptors” have been studied, and a comparison among them was made, and determines the shape of the movement (straight line, circle, arc, ellipse, oscillating, S - shaped…etc.) was detected. It was found, that the slope method was the best in terms of consumed time or computationally inexpensive.The optimization stage regards a core part of a video tracking, specified Taguchi method have been used in this work in order to assign in high value of weight for best features extraction and it has reduced the consumption of analysis time.The classification of persons motion depends on rough set model to implement information system and number of rules in distinguishing forms of overlapping movements types such as to (bend, jack, jump, pjump, run , side, skip, walk and wave). In the end, the detection of this work implicitly tested in chapter two and chapter three. Thesis reliability up to 93% after a lot of testing based on the standards database is called “Weizmann”.

ازالة الضوضاء من الصور باستخدام تقنية الانصهار معتمدا على معاملات تحويل المويجة المتقطعة == Image Denoising Using Fusion Technique Based on DWT Coefficient

Author name: رسل حيدر جاسم
Supervisor name: اسراء هادي علي الشمري
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Babylon - College Of Science - Department Of Computer Science
Language: English
University location: Babylon
First pages:
Abstract: الضوضاء هو عبارة عن معلومات غير مرغوب فيها في الصورة التي تدهورت اثناء عملية النقل او استحصال الصورة. ان اثار الضوضاء يقلل من وضوح الصورة. عملية ازالة الضوضاء من الصورة يسهل من عملية المعالجة. ان مشكلة ازالة الضوضاء في المجال المكاني تعمل على تنعيم البيانات بالاضافة الى تنعيم الحواف. لهذا السبب استخدمت ازالة الضوضاء عن طريق المويجة باستخدام المجال الترددي التي تعمل في المحافظة على الخصائص المهمة للصورة والحواف بالاضافة الى ازالة الضوضاء من الصور لكن تبقى مشكلة فقدان بعض المعلومات المهمة للصورة وتكوين صورة اقل وضوحا. تلعب طريقة انصهار الصور في الوقت الحاضر التي هي احدى انواع تكنولوجيا المعلومات المتكاملة دورا هاما في العديد من المجالات وتكوين صورة ذات نوعية عالية . الهدف من انصهار الصورة هو مزج المعلومات من صور عديدة بالاضافة الى حفظ المعلومات الهامة الموجودة في الصور الاصلية واستعادة جودة الصورة بناءا على مقياس نسبة الاشارة الى الضوضاء. يتالف النظام المقترح من اربع مراحل رئيسية هي تحويل المويجة المتقطعة ،ازالة الضوضاء باستخدام المويجة ،مرحلة الانصهار ومعكوس تحويل المويجة المتقطعة. في البداية تم تطبيق تحويل المويجة المتقطعة على مجموعة من الصور بنفس الحجم والمنظر مع استخدام المستوى الثاني من تحليل المويجة ومن ثم تطبيق احد تقنيات ازالة الضوضاء باستخدام التعتيبب على اجزاء معاملات المويجة وليس على الصورة باكملها من خلال استخدام قيمة عتبة لمعامل التفصيل ومقارنتها مع معاملات المويجة حيث تم استخدام العتبة الناعمة والصلبة مع عتبات الشامله وبايز حيث تتم مقارنة كل جزء من اجزاء الصورة مع الاجزاء المقابلة لصورة اخرى لاختيار الجزء الذي يحتوي على اقل ضوضاء. بعد ذلك يتم اختيار الاجزاء المثالية التي تحتوي على اعلى قيمة نسبة الاشارة الى الضوضاء من صور مختلفة لتكوين الصورة المنصهرة . والمرحلة الاخيرة هو تطبيق معكوس تحويل المويجة المتقطعة على الصورة المنصهرة لتحويلها من المجال الترددي الى المجال المكاني للحصول على الصورة الناتجة.الصورة الناتجة هي الصورة الجديدة التي تكون اكثر ملاءمة لرؤية الانسان والادراك الالي واظهرت نتائج هذا التطبيق ان طريقة العتبة الناعمة لازالة الضوضاء تعطي نتائج افضل من العتبة الصعبة بناءا على المقياس المستخدم. يعتبر النظام المقترح غير مناسب لدمج صورتين لان نسبة الاشارة الى الضوضاء للصورة الاولى والثانية تكون متساوبة. ان تطبيق الصور الضبابية على نفس النظام المقترح لايعطي نتائج مرضية في المجال الترددي حول دمج الاجزاء المثالية للصورة ولهذا السبب تم تطبيق الصور الضبابية في المجال المكاني مع مرحلة الانصهار باستخدام التصفية العكسية والتي اعطت نتائج جيدة للصورة الناتجة . الصور التي تم استخدامها في الرسالة هي صور رمادية ذات ابعاد مختلفة مع استخدام انواع مختلفة من الضوضاء. تم تنفيذ النظام المقترح باستخدام لغة برمجة (فيجوال ستوديو2012 ) vb.net. | The noise is unwanted information in image that is corrupted during its transmission or acquisition. The noise effects reduce the effectiveness of vision. Removing noise from the image eases the processing. The problem of the noise removal in the spatial domain is smoothing the data and the edges. Wavelet denoising is the process noise removal using wavelet in frequency domain. Therefore, it uses in keeping on the edges of the image, preventing types of noises and keeping the significant features of image, but this problem causes a loss in some of important information of image and produces image less visually. In the present time, image fusion is considered as one of types of integrated technology information, it plays a significant role in several domains and production of high quality images. The goal of image fusion is blending information from several images, also it is fusing and keeping all the significant visual information that is existed in original images and restoration the image quality that is based on PSNR and SNR measures. The proposed system includes four main stages are a discrete wavelet transform (DWT), denoising wavelet, fusion stage and inverse discrete wavelet transform (IDWT). In the beginning, discreet wavelet transform applies on the set of images of the same scene and size with two decomposition level. Then is performing the denoising wavelet hard and soft thresholding on sub band of image and is not the whole it, it is achieved by threshold value (universal and bayes thresholds) for detail sub bands and compare it with wavelet coefficient. After that is selecting the optimal sub band that contain less noise based on PSNR and SNR values for different images to form the fused image. Finally, apply IDWT process to convert the fused image from frequency domain to spatial domain and is obtained the resulted image. The resulted image is a new image which is more appropriate for human vision and machine perception .The results of the application show soft thresholding method is better than of hard thresholding that is based on higher PSNR value and image visually. The proposed system is unsuccessful for fusion two images, because PSNR value of one image and another image is same. The blur images applying on same proposed don't give satisfying results in the frequency domain about fused the optimal sub bands, therefore; it is applied in the spatial domain with fusion process by using inverse filtering and getting on the good results. The images are utilized in this thesis are gray images that different dimensions with using different types of noise as (salt &pepper, gaussian, Poisson and speckle) and the proposed system is performed using visual basic.net 2012 programing language.

خوارزهية التوجيه الهجينة لاتصاللات الماكنة مع ملكنة == Hybriid Routiing Allgoriithm for Machiine to Machiine Communiicatiion

Author name: باسم جميل علي
Supervisor name: سعد طالب حسون الجبوري
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
University: University of Babylon - College Of Science - Department Of Computer Science
Language: English
University location: Babylon
First pages:
Abstract: The wireless communication devices have witnessed rapid growth in the recent years. Such growth and its useful applications led to the appearance of new applications known as "machine - to - machine" (M2M) communications. M2M plays a big role in finding the best hopeful explanation to change the current and the future smart widespread requests. Most of the smart wireless devices may perform as servers, collection of data and/or delivering the data at real time to users in a certain collaborative fashion.M2M communication domain consists of a huge number of tiny nodes and gateway (or sink) that are suffer from suffer from resource constrains like power limitation, storage capacity, radio limitation, data processing, etc.. Thus, it is necessary to find methods to increase node's lifetime as long as possible and consequently the overall sensor network. M2M devices consume considerable amount of energy due to communication process comparing to other process. This process depends on message size and the distance between the sender and the recipient. Thus reducing the packet size and finding a low energy aware routing procedure is necessary to save nodes energy.This thesis adopted compressed sensing (CS) as a modern data compression technique, modified Gossip algorithm as a flat protocol and introduced hybrid Gossip based low energy adaptive clustering hierarchy (LEACH) protocols as a new hybrid routing algorithm. CS combined with LEACH protocol named LEACHCS and the results that are reported from LEACHCS showed that the communication process can be improved in term of the channel bandwidth (B.W) utilization, increasing network throughput and saving node's communication energy.Gossip data aggregation technique is a biologically inspired paradigm of contagion inspired from behavior of the disease infection process. Its procedure is based on the help of neighboring nodes and employs the randomization technique to form a chain of the intermediary nodes (route). The modification of Gossip based on the selection operation of the next node hop. This thesis introduced three versions of modifying Gossip : a) Modify Gossip named (DGossip), in which a chain of intermediary nodes can be formed according to the relative node's energy and relative nodes displacement to the sink instance of randomization technique in the original Gossip. b) The formation of intermediary nodes based on the relative energy of neighbor nodes and nearest node to the source node called EN_Gossip. c) A hybrid of EN_Gossip and EL_Gossip named ENL_Gossip is introduced as a new version. In ENL_Gossip, a chain of intermediary nodes is collected through alternating use of both EN_Gossip first then EL_Gossip starting from the source node till reached the sink.The results showed that the DGossip is significantly better than others in term of the average remaining energy of network and latency time (in terms of number of hops), while ENL_gossip outperforms the others in term of network's live time.A new hybrid algorithm is proposed which combined Gossip as a bio - inspired technique with LEACH as a hierarchical multi - hop routing algorithm called LEACHGossip algorithm. This algorithm uses LEACH for clustering configuration purpose, while Gossip applies for each CH (or normal node) that is away (do m) from the sink (or from its associated CH). The simulation results proved that it outperforms LEACH about more times in terms of congestion between CHs and BS, node still alive and energy saving. Thus, the above mentioned procedures can be considered as efficient communication protocols for M2M communication networks in term of energy saving.

تحديد مكان وهوية المتكلم باستخدام تقنية توجيه حزم الاشارة المحسنة

Author name: علي يعكوب يوسف
Supervisor name: حسين عطية لفتة الخالدي
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
University: University of Babylon - College Of Science - Department Of Computer Science
Language: English
University location: Babylon
First pages:
Abstract: Automatic speech recognition (ASR) systems perform well when using a close - talking microphone, However, many environments (Hands - free) where the use of such microphones is undesirable for reasons of convenience. In a hands - free environment, the noise and reverberation degrade the accuracy of recognition. An enhanced approach using microphone array for speaker localization and enhancement of speech signal input to an automatic speech identification system was proposed. The proposed system using enhanced beamforming technique based on Minimum Variance Distortionless Response (MVDR) for speaker localization with multi - microphone arrays. The strongest output beam signal corresponding to selected microphone array, used for the speaker identification. The identification phase based on using Mel Frequency Cepstrum Coefficient MFCC for feature extraction and enhance LBG algorithm for speaker modeling.Speaker identification accuracy in using proposed method were compared with conventional beamforming method, It was found that the higher recognition accuracy than previous approaches, and in experiments using speech signals that were artificially corrupted by additive noise. The proposed system provided a consistent, improvement in recognition accuracy for several experiments in simulation environments. It is also showing the benefit of usingmicrophone array processing. The localization phase evaluated using SNR, showing enhanced ratio after applying enhanced beamforming that estimate speaker location. The results showing localization accuracy 96.8% and 98.1% recognition accuracy where achieved.

نظام توصيات قائم على الويب لانتشار الاوبئة == Web - Based Recommender System for Spread Epidemics

Author name: حيدر محمد حبيب مجيد
Supervisor name: نبيل هاشم الاعرجي
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
University: University of Babylon - College Of Science - Department Of Computer Science
Language: English
University location: Babylon
First pages:
Abstract: The usage of Online Social Networks, such as Facebook and Twitterbecomes more and more popular in order to exchange and disseminate news andinformation in real - time. Twitter in particular allows the instant dissemination ofshort messages in the form of microblogs to followers. This dissertation exploresand examine the usage of how social networks, such as the microblogging toolTwitter, can help in the detection of spreading epidemics and reducing time delaybetween the emergence of disease and report sick to the health authorities suchas World Health Organization (WHO).Text classification has been used to classify the patients and non - patients(positive / negative). Sentiment Analysis (SA) and Linear Support VectorClassifier (LSVC) have been applied in the classification patients. In thisdissertation, four diseases have examined. Diseases that have most similarity intheir symptoms have been taken in order to classify patients based on theirsymptoms by applying a recommendation system techniques. Symptoms - basedHealthcare Recommender System is new approach in this work. It uses patientsymptominstead of user - item in traditional Collaborative Recommender System.Collaborative Filtering (CF) has been applied in order to recommend whichdisease the patient may has. CF shows an indicator that users on Social Networkshave not enough knowledge to mention all symptoms for specific disease, that’sled to classify patients to more than one disease according to common symptomsthat mentioned by patients.Geolocation of users that classified as patients has been extracted in orderto recommend health authorities that there is a certain area might has a beginningof spread disease. An implicit geocoding of users has been extracted by usingGoogle Maps Geocoding API to avoid neglecting those who don’t have explicitgeolocation.IISuspected areas has been weighted by computing a Confidence Factor(cFactor) of Tweet source whatever it comes from mobile or desktop. cFactorhelp in reducing time consuming into 29% of collecting and processing data.Weighted and Geographic Symptoms - based Recommender (WGSR) model hasbeen created detect, classify and visualize patients on the map.The accuracy of WGSR model reached to %94 in the classification andmore than %80 with the real reports of World Health Organization (WHO) whichrefers as a very good and can be improved for better results.

تطوير ادوات جديدة في نظام مودل == Developing New Tools in Moodle System

Author name: نهلة فليح حساني الشويلي
Supervisor name: كاظم حسن كبان الابراهيمي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Thi-Qar - College Of Education For Pure Sciences - Department Of Computer
Language: English
University location: Dhi Qar
First pages:
Abstract: E - learning is the use of IT in learning and teaching. This usage improved the quality of learning and teaching through facilitating access to resources and remote collaboration among teachers and students. E - Learning makes it easier to create and distribute learning materials, independently of geographical or time limits. It allows students to exchange information and participation in activities.There are many systems (software) development for management of E - learning (LMS). These systems provide tools for simulation the traditional learning, development and support the electronic learning.LMS provides many tools to create, manage the examination, evaluate the grades and spread question types.The general aim of this thesis is to develop the LMS that has been increasingly used having widespread in E - Learning in many countries. This system is "Moodle" which designed to supporting electronic learning.Moodle system is not satisfying conditions of the traditional exam copybook that is used in examination committees in Iraqi universities in terms of security and accuracy."Single view" report in Moodle system allows the teacher to edit grades of "Quiz" activities.Moodle system not provided question type in which the answering method is done through selecting word from a given text; this idea is a suggested product for the development of Moodle website in 2014 and doesn't have solution yet.In this thesis, we proposed three main proposals : 1. Development of Moodle system to use it in the examinations in Iraqi Universities through designing and implementation of new module named "Teacher view" to provide "The Electronic Exam Copybook" which simulated the traditional exam copybook that is used in the examination committees in these universities for assessment of student's answers. It also presents documentation of detailed information about student's attempt on examination and calculates the student's grades. This "Electronic Exam Copybook" satisfies all conditions of the traditional exam copybook in terms of security and accuracy. Also, the proposed module provides students' results in English and Arabic languages and manual of this module.2. Overcome of the weakness in "Single view" report in Moodle system.3. Development of Moodle system through designing and implementation of a new question type called "Highlight words" in this system. The idea of answering method to this question type is highlight word from a given clickable text.We used the following requirements to design and implement the proposals tools in this thesis : 32 bit windows7 operating system, 2.30 GHz Core i3 processor, router device, WAMP server, Moodle system (version 2.9) in English language, Mozilla Firefox web browser, Macromedia Dreamweaver 8 and First object XML Editor software

تصنيف اورام الدماغ باستخدام الشبكات العصبية الاصطناعية

Author name: نور حيدر داخل
Supervisor name: حازم باقر طاهر العلي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Thi-Qar - College Of Education For Pure Sciences - Department Of Computer
Language: English
University location: Dhi Qar
First pages:
Abstract: Accelerating the pace of scientific progress and that focus in the field of human service requirements is to provide daily health and service. Health aspect is one of the most important things of science that needs to be develop it because it has an important effect on human life. Medical imaging has become one of the most important factors in the treatment of human health. A large amount of information and data can be obtained about disease by different methods of Images acquisition techniques same like Magnetic Resonance Imaging (MRI), Computed Tomography (CT).The purpose of this thesis is to discover a way to detect the brain is to suggest a system to diagnose the brain whether it is normal or abnormal (contains a tumor) by using artificial neural network technology which contain many steps. The first step of detecting the brain tumor system is the input image to the system as digital data.The processing is the second step, which includes reducing noise and removing impurities of the brain image. So as the noise is removed by using median filter and wiener filter. After processing (filtration) image segmentation. Feature extraction is the techniques that is used to measure of difference properties of image segments, given the specific features as input to the artificial neural network classified (ANN).Seeded classified databases are due to the two types of brain image, (normal or abnormal).Samples have taken from a group of patients in AL - Husain Teaching Hospital disparate ages and both ganders, which was 100 samples ,80 of them were training samples and 20 were tested .The proposed system has proven successful of the diagnostic through the results obtained on the ratio of (100% in the training phase) and (100% in the testing phase

تسريع ضغط الصور الكسوري باستخدام تقنيات مطورة == Fast Fractal Image Compression using Adaptive Techniques

Author name: حيدر عباس محسن
Supervisor name: حازم باقر طاهر العلي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Thi-Qar - College Of Education For Pure Sciences - Department Of Computer
Language: English
University location: Dhi Qar
First pages:
Abstract: Fractal Image Compression (FIC) is one of the lossy techniques. In order for fractal compression image to be encoded is partitioned into non - overlapping blocks called ranges. From this range pool creates a new array called domain pool, the data of domain is array produced from taking an average of every four (2x2) adjacent elements in the range array, the domain is divided into overlapping blocks. Each block in range pool should be matched with every large number of blocks in the domain pool in order to find minimum error and recorded its best IFS approximate. The decoder process applies the determined IFS transformations on any initial image, and the process is repeated many times until reaching the attractor. In this thesis, it presents reducing the long encoding time of FIC without making significant sacrifice in the quality. In addition to the traditional fractal compression method, four IFS coding methods have been tested.The first method is speed up encoding phase by using moment features of the domain blocks with threshold , this method it compute the moment features of domain blocks only , during the matching process, compares the ratio factor of domain block with threshold, then compute the scaling (s), offset (o) coefficients and minimum error between range and domain blocks, and storing the optimal IFS coding , the results of this method with lenna image (4x4) block size, (the encoding time = 50.29 sec), (compression ration= 4.57 ) ,(PSNR=24.04), (RTR=33.42 ). The second method is speed up encoding phase by using the entropy technique of the domain blocks only , during the matching process, compares entropy value of domain block with threshold, and storing optimal IFS coding , the results of lenna image(4x4) block size, (the encoding time = 95.47sec), (compression ration= 4.47 ) ,(PSNR= 24.08) and (RTR= 17.60) . In the third method it merges the entropy technique with moment features of domain blocks only , during the matching process, compares entropy value and moments ratio factor of domain blocks with threshold and storing IFC coding, the compression results of lenna image (4x4)block size , (encoding time = 100.90 sec), (compression ration=4.47) ,(PSNR= 24.11) and (RTR=16.66) , the flaw in this method is the encoding time of 16x16 partitioning more than 4x4 and 8x8 partitioning. In the fourth method speed up encoding phase by use moment features of the range and domain blocks, in this method it computes the moment features of range and domain blocks, during the matching process, if the moments ratio factor of range and domain blocks are equal then compute scale(s),offset(o) and error (R) .storing best IFS coding. the results of lenna image(4x4) (encoding time = 114.02 sec), (compression ration= 4.47) ,(PSNR= 24.43), (RTR=14.74), the flaw in this method is the encoding time of 16x16 partitioning more than 4x4 and 8x8 partitioning. Matlab R2008a was used as a program to designed and implemented to achieve the coding and testing tasks. The environment used for our tests is a single PC with processor (core i3 CPU 2.53GHz) and 4.00 GB RAM .

خوارزمية موازنة الاحمال المقترحة في الحوسبة السحابية == A Proposed Load Balancing Algorithm in Cloud Computing

Author name: اطياف ضاري برغش
Supervisor name: خلدون ابراهيم عارف
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Thi-Qar - College Of Education For Pure Sciences - Department Of Computer
Language: English
University location: Dhi Qar
First pages:
Abstract: Cloud computing considers an important paradigm that provides services and dynamic virtual resources to the consumers over the internet.One of the main challenges and important fields for research in the cloud computing environment is load balancing. So the main goal of this thesis is to establish an effective load balancing algorithm for task scheduling. In cloud computing environment, the demands are executed into the virtual machines (VMs) and in the execution, it must be avoided a situation some of the resources are under loaded states while there are resources overloaded or heavy while achieving less the execution time of the tasks andresponse time. In this thesis, we present the Load Balancing Decision Algorithm (LBDA) which aims to achieve load balancing for reducing the : Total completion time (Makespan), Response time and Total execution time of tasks in cloud computing environment.The mechanism of LBDA is based on three functions, first : calculating the virtual machine capacity, virtual machine load then determining VM states (Under loaded, Balance, High balance, Overloaded) based on comparing VM capacity, VM load and using three thresholds : threshold upper; threshold fair; and threshold lower. Second : estimating the time required to complete executing the task in each VM. Finally, making a decision to distribute the tasks among the VMs based on VM state and task time required. Where checked task time required into VMs under states and selecting the fastest VM, when there are more than one VMs have the same time to complete a task, LBDA assigns a task to VMs which has the largest capacity. When all VMs become (Balance or High balance) states, the tasks are distributed between VMs depending on the fastest execution. The proposed LBDA was compared with Max - Min, Shortest Job First and Round Robin algorithms. We applied many experiments with various VMs’ capacity and : A different number of tasks on a different number of VMs, The same number of tasks on a different number of VMs, and A different number of tasks on a different number of VMs.The performance evaluation results implemented in cloudsim toolkit 3.0.3 and the experiments demonstrate that our proposed LBDA outperformed to other algorithms by reducing the completion time of tasks, response time, andtotal execution time of tasks.

مخطط يربط المفتاح بالقياسات الحيوية لحماية انظمة المعلومات == A Biometric Key Binding Scheme for Information Systems Protection

Author name: ابرار خلف الشريفي
Supervisor name: كاظم مهدي الموسوي | كاظم حسن الابراهيمي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Thi-Qar - College Of Education For Pure Sciences - Department Of Computer
Language: English
University location: Dhi Qar
First pages:
Abstract: Cryptosystems becomes an increasingly important feature as the most reliable tool in network and information security. However, while there are many forms of cryptosystems exist today a weak link of all systems is the secure management of the cryptographic key. And as a result of the growing interests in biometrics a new field of research has emerged, which is called "biometric cryptosystems". Within biometric cryptosystems the advantages of biometric authentication are introduced to generic cryptographic key management systems to enhance security.This work proposes a scheme to bind a cryptographic key with the face biometric by combining correlation filters based biometric recognition with a biometric key binding scheme with providing the variation tolerance, discrimination and security which are the most important requirements that apply to a cryptographic key retrieval using a biometric. In the proposed scheme the cryptographic key is generated independently of user's face image using Pseudo - Noise generator to produce a unique and long enough key (128 bits) for each user then this key is linked to the face image only through a secure block of data known as the 'protected record'. The correct key will only be derived via the interaction of this protected record with the correct user's face image during a live authentication process. The resultant key may be used in a system as cryptographic key or as a personal identification number (PIN) to overcome the need to carry, store, or remember keys for cryptosystems or any other application that are used (PIN).The proposed scheme performance has evaluated using FACE 94 facial database. The performance rate reached to 100% which is a perfect result for practical applications. The proposed scheme is implemented using (MATLAB 2008). It is executed for testing purpose on computer with processor of 1.80 GHZ dual core, i3 under Microsoft Windows 7 operating system.

اداة تقييم الخطر لتنبؤ احتمالية الاصابة بسرطان الثدي بالاستناد على عوامل الخطر الديموغرافية واستخدام خوارزمية الشبكة العصبية الضبابية == Risk Assessment Tool - based Demographic Risk Factors to Predict Probability of Breast Cancer accident using Neuro - fuzzy Technique

Author name: دنيا سمير مزهر
Supervisor name: كريم راضي حسن
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University Of Basrah - College Of Science
Language: Arabic
University location: Basrah
First pages:
Abstract: In recent years, the statistics presented high incidence rates of breast cancer.So, early detection of breast cancer considered one of the highest healing rates for most cases, where the treatment at early stage is very easy and involves removal to malignant tumor from breast without needed to remove all breast. As well the cost of treatment is very economical with early diagnosis, while at a late stage, the cost associated with treatment is higher. In addition, the prevention have role to reduce risk by avoid catalysts that cause Incidence and associated with risk factors. For these reasons and others, we present the proposed method for designing a risk assessment tool for breast cancer prevention and early detection based on demographic risk factors (DRF) and using Neuro - Fuzzy System (NFS) in designs risk assessment model that help doctors and patients in assess risk of Incidence through providing better and more reliability results.In this thesis, the proposed method is a process of several stages. The first phase included statistical study to identify problem of research based on statistics in Basra, through apply the study on patients community at Al - Sadir Teaching Hospital in Basra (Oncology Center), that represent main center in Basra for the treatment of cancer. Three and most important phase includes the proposed approach for design assessment model using Neuro - Fuzzy system (NFS) in two approaches. the second approach suggested using Fuzzy c - means (FCM) algorithm with Neuro - Fuzzy system to improve the first approach that just use Neuro - Fuzzy system (NF). The proposed method is focused to solving basic research problem to prevention and early detection of breast cancer.The proposed method achieved high results when compared to other methods and tools. The success rate of proposed assessment tool is 94%, and it is higher rate among other assessment tools (Gail, IBIS) that obtained by match the result for assessment of test data (50) with the expert opinion (the real result). Programming and testing of proposed method by used Matlab 2013

اخفاء معلومات في ملف صوتي باستخدام تقنيات التشفير الانسيابي والمواقع العشوائية

Author name: اسماء عزيز جابر
Supervisor name: حميد عبد الكريم يونس
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University Of Basrah - College Of Science
Language: Arabic
University location: Basrah
First pages:
Abstract: The rapid development and tremendous computer and communication technologies and the proliferation of global networks, has led to the emergence of many techniques to transfer confidential information including encryption (Cryptography), and as a result of piracy And penetrating these techniques need arose for techniques and methods more sophisticated and difficult to transfer confidential information securely. Because of the increase in the number of attacks recorded during the exchange of electronic information between the source and the recipient may need to use a more powerful way to secure data transfer, encryption methods are combined And hide the information together for the purpose of setting up a mechanism to improve confidentiality and because these methods shared goals and common services in protecting the confidentiality, integrity and availability of information from unauthorized access and thus check mechanism High security integration to preserve data confidentiality.The research aims to use the method to hide secret information (picture or sound) into audio files (audio file) (wav) as cover in such a way as to ensure that information is not piracy, secret message encryption Sleek encryption before concealment by making the size of the stego - audio is equal to the size of the original file.As the audio file is the output of a process of hiddin similar to the original file and for the human ear to feel the change. By segmenting the original soundtrack cover frames (frames) and apply the random function to locate hidden after the colored image layers in case confidential information picture or sound to hide the hash to Frameworks and then applying the function for selecting locations for concealment and then apply the least significant bit technology (Siginfcant Least Bit) for concealment.In the case of the recovery process is contrary, embedded audio file fragmentation occurs (stego - audio) and apply the random function for selecting locations for concealment and decrypt the message.Use a key in a hash process sound represents the size of the picture you want to hide, and it represents the number of frames (frames) and serve as a key to encrypt the original audio as we use an algorithm to generate a sequence of key Homologous between the sender and recipient to Sleek encryption to increase security. The recovery process success ratio for the image dB 99.0, audio retrieval process was well proportioned. , We used Image metrics (PSNR), (SNR) and the inclusion ratio between the confidential letter and sound and cover (RMSE) between audio - stego and original sound. And high results were obtained about (85 - 95 )when recovery without any mention on the file (Stego_audio).

تصميم وتطبيق نظام قواعد بيانات موزعة لادارة المعلومات الصحية وبناء نظام لاستيراد البيانات == Design and implementation of distributed databases system for management health information And build a system to import data

Author name: محمد قاسم ياسين
Supervisor name: طالب عبد الصمد عبيد
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University Of Basrah - College Of Science
Language: Arabic
University location: Basrah
First pages:
Abstract: استدعت زيادة المعلومات في المجالات الحياتية كافة الحاجة الى استخدام الادارة الالكترونية وتحويل جميع المعلومات الورقية الى معلومات محوسبة تمتاز بسهولة استرجاعها والاستفادة منها في عمليات اتخاذ القرار. نحتاج للاستفادة من المعلومات المحوسبة في اي مكان وزمان الى طريقة تمكننا من ترتيبها وفهرستها. ظهرت مجموعة من التقنيات لخزن المعلومات المحوسبة واسترجاع منها نظم الملفات ونتيجة التطور الحاصل في معدات الحاسوب والبرمجيات ظهرت انظمة ادارة قواعد البيانات المركزية، وانظمة قواعد البيانات الموزعة واحتلت الاخيرة اغلب تطبيقات قواعد البيانات لما تقدمه من تقنيات مختلفة في تخصيص البيانات والاستفاده منها في اماكن مختلفة. تعد الصحة الالكترونية احد انماط الادارة الالكترونية والسجلات الصحية الالكترونية احدى اشكال الصحة الالكترونية التي تعتمد عليها عملية تقديم الرعاية الصحية داخل القطاع الصحي. تم في النظام المقترح تصميم وتطبيق قواعد بيانات موزعة لغرض ادارة معلومات المراجعين المرضى خلال زياراتهم للدوائر الصحية (المراكز الصحية والمستشفيات)، من خلال استخدام تقنيات التجزئة والتكرار في توزيع البيانات بما يحقق استقلالية وسيطرة للوصول للبيانات.احتوى النظام قاعدة بيانات للمراكز الصحية (وتجزئتها وتكرارها حسب قطاعات المناطق) وقاعدة بيانات للمستشفيات يرتبطان معا لتكامل البيانات وجعل كافة المعلومات امام المستخدم.يكون الوصول الى البيانات من خلال الشبكة المحلية او من خلال الانترنيت باستخدام نظام اسماء النطاقات الديناميكية (DDNS) Dynamic Domains Name System او الرقم العام Public - IP.بسبب الحاجة الى الاستفادة من البيانات المتواجدة في الانظمة القديمة والتي تختلف في نظام الادارة او هيكل البيانات, تم بناء برنامج تطبيقي لنقل البيانات بين قواعد البيانات المتماثلة وغير المتماثلة على حد سواء. يحتوي البرنامج التطبيقي على مجموعة من اجراءات المعالجة تستخدم لنقل البيانات من قاعدة بيانات الى اخرى قد تختلف في نظام ادارة قاعدة البيانات او هيكل الجداول او الانواع البيانية للحقول وامتاز نظام ادارة معلومات المرضى على الامكانيات الاتية : - السماح بعمليات الاضافة والحذف والتعديل والبحث. - متابعة اماكن تواجد المريض من لحظة دخوله الى المستشفى حتى خروجه. - امكانية الوصول الى البيانات من خلال الشبكة المحلية او من خلال الانترنيت. - امكانية تصدير معلومات مراجعة المريض الى ملف اكسل. - متابعة انتشار الامراض خلال فترات من الزمن من خلال مخططات البيانات Data Charts. - استخدام بريد الكتروني داخلي بين المستخدمين. - استيراد البيانات من قواعد بيانات مختلفة بنظام ادارة قاعدة البيانات او الهيكل البياني والتنظيمي للجداول. - احتوائه على قسم خاص لاضافة الصلاحيات للمستخدمين بالاعتماد على الوظائف المخوله لهم. - تنبيه مدير النظام ان هناك محاولات للوصول الى النظام برمز مرور خاطئ

عنقدة النصوص العربية باستعمال تحليل الاحالة المشتركة == Arabic Text Clustering Using Coreferance Resolution

Author name: فراس حمودي نعمة
Supervisor name: سلمى عبد الباقي محمود
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University Of Basrah - College Of Science
Language: Arabic
University location: Basrah
First pages:
Abstract: Clustering texts organizes texts in subsets coherent and internally consistent, and different with each other. These subsets called clusters. The documents combines according to the similarity measures, that rely on features extracted of the documents. This technique applies in various fields such as web mining, search engines, and information retrieval. Clustering documents gives information retrieval, automatic extraction, and representation efficiently without user intervention for increasing growth of the new documents.This study aims to improve the accuracy and efficiency of arabic texts clustering. To achieve the aim of this study two approaches are used. The first approach uses the standard technique in Arabic texts clustering. The second approach is proposal to reduce features of the texts.The first approach is applied (K - medoids, K - means) and similarity measures (Euclidean, cosine). The problem of this approach is that huge of the features, which influence the efficiency and coherence of the clusters.The huge features for the documents adds challenge and lead to high dimension so coreference resolution technique approach is applied. This technique extracts main subjects for each document to improve arabic documents clustering in order to achieve the goal of our study. The system implements using a corpus contains on 200 sport news Arabic.Finally, evaluation measures are used including (Precision, Recall and F - measure) to evaluate our system, and we obtain acceptable results.First method exceed K - medoids and using similarity measures (Euclidean, Cosine) where highest values (0.60, 0.78, 0.67) of the method of k - means. In addition, the results of the proposed second way exceeds method of K - medoids and using similarity measures (Euclidean, Cosine) with coreference resolution, where the measures values (0.80, 0.83, 0.81).

تصميم خارطة مفاهيم لبعض مفردات اللغة العربية == DESIGN AN ONTOLOGY FOR SOME ARABIC VOCABULARY

Author name: حنين عقيل لفتة
Supervisor name: عبد الحسين محسن عبد الله
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University Of Basrah - College Of Science
Language: Arabic
University location: Basrah
First pages:
Abstract: Since the growth and development of technology, there have been many changes to visualize the current Web. After decades of Web's using , there were demands raised to restructure the web in order to allow machines do the work of the man on the web. So, the aim of this main generation idea is to enable machines .These machines could understand what they display by adding meaning to the traditional Web content, this is called the Semantic Web.The form of this meaning seems in a huge global database that has information connected to each other and understand by the machines. Therefore, the machines can be realized the relations between information, analysis and indexing of knowledge categories. All these which make the machines are responsible on main part of information research process, while the human's part is just to receive the results that are almost ready to benefit from them. Ontology notion seems to express a set of concepts within a particular field as well as the relationships between these concepts.In spite of the appearance of the Semantic Web, ontologies spread widely in various languages, but there was a shortage in Arabic language ontology within different areas. Even when it found, it was small attempts and unavailable on the linked data form in the web.This work aims to design an ontology that cares about the Arabic language and its components. So that this project focuses on these things : 1. Create a model for an Arabic Language Ontology, as follows : a. Identify the main concepts for the Arabic language like (noun, verb, letter, adjective and adverb) and their properties to form the structure of the ontology.b. Modeling the resulting ontology in one of modeling language .It has been used Object Role Modeling (ORM) because of its high strength to express and transform this model to the language The Web Ontology Language (OWL) .c. Verifying the ontology's components are logically connected and provide the right answers to the questions that are designed to by asking queries to it in SPARQL language.2. Populate ontology with individuals by - : a. Collect several instances from different sources and clarify their types by linking them to the main concepts of the Arabic language.b. Extract every meaning of the instances and linking them to the same meaning in the English language for the clarification .This is to indicate the possibility of using this ontology as dictionary bi - languages.That is one of its applications by linking it to other ontologies to reuse their information and exchange them.3. Sharing this ontology on WWW using Linked Data technology with free licenses.4. Creating a web page that contains Arabic - Arabic language dictionary in HTML and JavaScript languages .These were achieved by using the same words that included in the proposed ontology .All these give their meanings and types and be availableto the average user .5. The conclusion of this ontology is specifying many meanings to one word, however the ontology give us one type for specific meaning. That is considered negatives of the proposed work.Keywords : Semantic Web, Ontology, Ontology Population , Linked Data, ORM, OWL, SPARQL

Secure Email Message Using Genetic Algorithm - Based Elliptic Curve Cryptography Systems

Author name: محمد حسن حالوب
Supervisor name: Haider M. Abdul - Nabi
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University Of Basrah - College Of Science
Language: English
University location: Basrah
First pages:
Abstract: Email is a service for exchanged messages between group of people (sender and receiver) using communication network. Nowadays people, companies, and business sectors are using email in the official communications. There are a lot of threats on the email service and the most importantly one is the eavesdropping. Some email messages are very important and must have a level of security during exchange of them.The current study uses hash function to add data integrity by applying Secure Hash Algorithm - 1(SHA - 1). This study uses Elliptic Curve Digital Signature Algorithm to add authentication and non - repudiation to the email message sender.Encrypt of an email message is a solution to overcome the eavesdropping. Hence, the attacker can obtain the email message but cannot read it without the key. The encryption algorithm, which is used, is Elliptic Curve Cryptography. This algorithm has a strong encryption, high level of security, and small key size compared to the RSA algorithm.The contributions of this thesis are : proposes a new method based on genetic algorithm to select the most effective parameters of the Elliptic Curve Cryptography (a,b); and proposes four encryption methods : updated symmetric Elliptic Curve Cryptography, modified Menzes - Vanston Elliptic Curve Cryptography, hybrid symmetric and asymmetric Elliptic Curve Cryptography, and hybrid Menzes - Vanston Elliptic Curve Cryptography and AlGamal Elliptic Curve Cryptography.The proposed methods are compared against previous techniques. It is found that these methods outperform the previous techniques in terms of the encryption/decryption processing time and the level of security.

Robust and High Capacity Data Hiding System Using Error Correcting Codes

Author name: نداء حسن عباس
Supervisor name: منذر التكريتي | قاسم زيدان
General topic: Computer Science
Specific topic: Computer Science
Language: English
First pages:
Abstract: اقترح هذا البحث تقنية متينة لاخفاء العلامة المائية والتي نستطيع ان نعالج من خلالها كمية كبيرة من البيانات مثل الصور ذات التدرج الرصاصي.لقد تم تحقيق موازنة بين كمية البيانات المخبئة وبين نوعية الصورة الحاوية للعلامة المائية.تهدف الخوارزمية الى جعل المتطفل يخفق في الوصول الى مكان المعلومات داخل الصورة وذلك من خلال التوزيع العشوائي لمكونات العلامة على كل الصورة. تم تطبيق الخوارزمية في مجال تحويل المويجة (Wavelet Transform) لما لهذا التحويل من فوائد عديدة والتي يمكن استغلالها في كبس الصور وكذلك في التطبيقات العملية للعلامة المائية. لقد تم تنفيذ البحث ايضا بطريقة جديدة وذلك باستخدام شفر تصحيح الخطا لتجاوز مشكلة فقدان البيانات اثناء عملية الكبس والكبس الاضافي الفاقد للبيانات. لقد تم استرجاع الصورة المخفية بشكل تام والنتائج العملية كانت مقنعة بسبب تشابه الصورة الاصلية مع الصورة الحاوية للعلامة المائية وصمود ومتانة العلامة امام الكبس الاضافي. اشارت النتائج العملية بعدم وجود تشويهات مرئية في الصورة المسترجعة حتى بعد 5 % من الكبس الاظافي علاوة على تعقيد اسلوب محاولة كشف العلامة. هذا يشير بان نظام العلامة المائية مقاوم اكثر الى هجمات الضغط ذو الخسارة العالية. | In this research, a robust watermarking system for images is proposed. The proposed scheme can handle a significantly large quantity of data such as gray scale images. A trade - off between the quantity of hidden data and the quality of the watermarked image had been achieved. The proposed algorithm aims to mislead the intruder and prevent the detection of the watermark due to the random distribution of the signature image on the entire image. The algorithm is applied in the wavelet transform domain. The wavelet transform has a number of advantages over other transforms that can be exploited for both image compression and watermarking applications. Therefore, it had been found that it is imperative to consider the wavelet transform domain for watermarking applications.1. Due to the lossy compression, some parts of the watermarking will be lost. For that the algorithm had been implemented with the new proposed approach using error correcting codes skill to overcome this drawback. The impact of different codeword lengths of BCH code is also investigated. The BCH code is effective against burst error. This approach has been compared with the case of embedding without using error correcting codes and satisfactory results were achieved, as the watermarked image was visually similar to the original. Experimental results indicated that are no visible distortions in the watermarked image, and the recovered signature is similar to the original signature even after 5% JPEG lossy compression quality factor. This indicates that the watermark system is more resistant to lossy compression attacks (JPEG).

اخفاء المعلومات في نص عربي باستخدام تقنيات معالجة اللغات الطبيعية == Information Hiding In Arabic Text Using Natural Language Processing Techniques

Author name: عبد الرحيم عبد الصاحب عبد الرحيم
Supervisor name: سهاد مال الله
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Technology - Department Of Computer Science
Language: English
University location: Baghdad
First pages:
Abstract: التطور السريع للاتصالات جعل من الصعب للحفاظ على المعلومات في مامن من الاشخاص غير المخولين. بعض المعلومات مهمة وتحتاج الى ان تصنف على انها معلومات سرية مثل الاستخبارات، الاعمال التجارية، والعسكرية... الخ، وتستهدف هذه المعلومات من قبل منافسي المرسل او المت | The fast evolution of communications makes it hard to keep information safe from the unauthorized person. Some information is important and needs to be classified as secret information such as information about Intelligence, Business, Military...etc., th

نظام ادارة معلومات الطلاب == Student Information Management System

Author name: دعاء شاكر ناجي
Supervisor name: لؤي ادور جورج
General topic: Computer Science
Specific topic: Computer Science
Degree: Higher Diploma
University: University of Baghdad
Language: English
University location: Baghdad
First pages:

تطبيق الشبكة الخاصة الافتراضية باستخدام محول الشبكة TUN/TAP == A Virtual Private Network With TUN/TAP Adapter

Author name: رسول احمد كاظم
Supervisor name: عماد جاسم محمد
General topic: Computer Science
Specific topic: Computer Science
Degree: Higher Diploma
University: University of Baghdad
Language: English
University location: Baghdad
First pages:
Abstract: في هذا البحث، تم تطوير شبكة خاصة افتراضية لحل مشاكل امن المعلومات التي يتم نقلها عبر الشبكة للمستخدم، وعبور الجدران النارية المقيدة، وكذلك لربط الحواسيب مع بعضها عبر الشبكة الموسعة.النظام مصمم حسب طريقة الزبون الخادم باستخدام لغة البرمجة - C#. وهذا النظ | In this dissertation, a virtual private network has been developed to solve the issue of network security for the user, cross - over the restrictive firewall, and connect computers through the Wild Area Network (WAN). The application is designed as a clie

العلامة المائية بالاعتماد على تقنيات المسح == Image Watermarking Based on Wipe Technique

Author name: شيماء احمد رشيد
Supervisor name: فيصل غازي محمد
General topic: Computer Science
Specific topic: Computer Science
Degree: Higher Diploma
University: University of Baghdad
Language: English
University location: Baghdad
First pages:
Abstract: في السنين الاخيرة الماضية حدثت ثورة في عالم تكنولوجيا الحاسبات في مجال الـ Hardware والـ Software حيث ظهرت العديد من برامج التواصل الاجتماعي وانتشرت بشكل واسع وسريع جدا, حيث لا يكاد شخص لا يملك حساب على الفيس بوك وظهرت الجامعات التي تدرس عن بعد عن طريق ال | In the recent years happened a revolution in the world of computers technology in the field of Hardware and Software, where many of the social media programs have appeared and spread widely and very fast, which is hardly a person does not have an account

تشفير الصوت الحصصي باستخدام تحويل الجيب تمام المنقطع == Share Audio Cryptography Using DCT Transform

Author name: سارة سعد علي البغدادي
Supervisor name: عبير متي يوسف
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: Al-Nahrain University - College Of Science - Department Of Computer Science
Language: English
University location: Baghdad
First pages:
Abstract: الحماية الفعالة والامنة للمعلومات الحساسة هو مصدر القلق الاساسي في نظم الاتصالات او انظمة التخزين الشبكي، فمن المهم لاي معالجه معلومات هو ضمان عدم العبث بالبيانات.و لتحقيق السرية وسلامة المعلومات والوسائط المتعددة، تم وضع عدة مخططات الحصص السرية المختلفه | An Effective and secure protection of sensitive information is the primary concern in communication systems or network storage systems, it is important for any information process to ensure data is not being tampered. To achieve confidentiality and integr

تصميم وتنفيذ روبوت مخصص لانجاز مهام خاصة بالهندسة المدنية (عملية طلاء الجدران) == Design And Implementation Specified Robot For Civil Engineering Work (Wall Painting Process)

Author name: يونس صابر عثمان
Supervisor name: عبد الستار محمد خضر | معن محمد شاكر
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: Northern Technical University - technical College - Department of Computer Science
Language: English
University location: Mosul
First pages:
Abstract: يعتبر تصميم وبناء روبوت تحدي كبير ويتطلب الجمع بين علوم مختلفة مثل الالكترونيات والسيطرة والبرمجة والميكانيك والاتصالات والفيزياء. كما ان تجميع وفحص اجزاء الروبوت يتطلب جهد كبير.الخطوة الاولى في هذا البحث هي تصميم روبوت متنقل يقوم بعملية طلاء جدران قاعة. | The design and implementation of a robotic system is a very big challenge. It requires different integrated fields of sciences, like electrical, control, programming, mechanical, communications, physics, and others. The assembling and testing of the parts

تشفير الرسائل القصيره باستخدام RC4 مع مفتاح متغير بالاعتماد على الاندرويد == Sms Encryption Using RC4 With Dynamic Key Based on Android

Author name: سجى طه احمد عبد
Supervisor name: لؤي ادور جورج
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:
Abstract: تعد خدمة الرسائل القصيرة (اس ام اس) ھي جزء من خدمة الاتصالات المستنده على ارسال النصوص التابعة لانظمة الاتصالات المتنقلة. وبصرف النظر عن الدردشة الالكترونية، اصبحت خدمة الرسائل القصيرة اليوم مصدرا اساسيا لتبادل المعلومات السريھ او الخاصة، كما انھا تلعب دو | Short Message Service (SMS) is a text based communication service component of mobile communication systems. Apart from electronic chatting, SMS has become a fundamental source for communicating confidential or proprietary information. Also, it plays very

تقسيم وتمييز النص العربي المكتوب يدويا == Arabic Hand Written Segmentation And Recognition

Author name: منى خلف ضمد
Supervisor name: بان نديم ذنون يونس | عماد جاسم محمد
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:
Abstract: The ultimate aim of handwriting recognition is to make computers able to understand human written texts, with a performance comparable to that of humans. Arabic handwriting recognition is an active research area in pattern recognition and has many practic

تجنب الحواجز للروبوت المتحرك داخليا == Barrier Avoidance For Indoor Mobile Robot

Author name: ضحى عبد الله عامر
Supervisor name: محمد صاحب مهدي الطائي | لؤي كاظم عبود
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:
Abstract: The motivation of current research is addressed in establishing a robotic control system to follow a line was drawn on the ground, and then this system has been programmed to avoid the barriers on its way. Thus, the proposed robotic system is designed to

تعديل قواعد الارتباط الموزعة لتحليل الجرائم == Modification Distributed Association Rules For Crimes Analysis

Author name: ايناس محمد حسين سعيد
Supervisor name: عماد كاظم جبار الفتلي | سـكينه حسن هاشم
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
University: University of Technology - Department Of Computer Science
Language: English
University location: Baghdad
First pages:
Abstract: الجريمة منحت الاولوية القصوى من قبل جميع الحكومات لما لها تاثير كبير على المجتمع.ان تحليل الجرائم المعقدة تتطلب الذكاء البشري والخبرة. لقد باتت وكالات تطبيق القانون مثل الشرطة تواجه مشكلة الحجم الكبير للبيانات التي يجب معالجتها وتحويلها الى معلومات مفيدة | Crime is a major issue what has been given the top priority by all governments. Law enforcement agencies like that of police today are faced with large volume of data that must be processed and transformed into useful information. Accordingly to, solving

اقتراح نموذج التعدين لتحليل الشبكات الاجتماعية على الانترنت (الفيسبوك) == Proposed Mining Model For online Social Network Analysis (Facebook)

Author name: سراء موفق عبود
Supervisor name: سكينة حسن هاشم
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Technology - Department Of Computer Science
Language: English
University location: Baghdad
First pages:
Abstract: شبكات التواصل الاجتماعي على الانترنت, في بعض الاحيان تسمى وسائل اجتماعية, اصبحت جزء اساسي في حياة معظم الناس اليومية من عملية فحص حسابات الفيسبوك والتويتر حتى عملية النشر فيها, وقائمة الاهتمامات وتحميل اشرطة فيديو اليوتيوب يمكن لهذه الشبكات الاستفادة للمش | Online Social Networks (OSN), sometimes called social media, have become an essential part of most people’s everyday lives, from checking Facebook and Twitter to posting blogs, interesting listings, and uploading of YouTube videos. These networks can leve

نهج جديد للمحادثة الامنه في الوقت الحقيقي == New Approach For Security Chatting In Real Time

Author name: سرى خلف اخباله
Supervisor name: علاء كاظم فرحان
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Technology - Department Of Computer Science
Language: English
University location: Baghdad
First pages:
Abstract: ان اي منظمه لها موظفين فانها تكون بحاجة الى نظام اتصالات فيما بينهم ويمكن استخدام نظام محادثة خاص يعمل على الشبكة الداخلية للمنظمة )انترانت( او عام ويعمل على شبكة الويب )الانترنت( لتبادل المعلومات والاستعلام فيما بينهم. فالمحادثة هي المشاركة المتزامنه في | Any organization having any number of employees needs a communication system which could be used for private conversation on the organization's internal network (intranet) or in working on the Web (Internet) to exchange information and inquiry among its m

تصنيف صور الماموكرام باستخدام التحويلات الكنتورية == Mammogram Images Classification Using Contourlet Transform

Author name: زينب فوزي عبد
Supervisor name: مثيل عماد الدين عبد المنعم
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Technology - Department Of Computer Science
Language: English
University location: Baghdad
Key words:
  • Mammogram Image
  • Classification
  • Contourlet Transform
  • Wavelet Transform
  • Otsu's Thresholding
First pages:
Abstract: Breast cancer is the most common malignancy in adult females and is the second most common disease that may lead to death. Early detection is important for manage breast cancer that give a better chance of full recovery. The detection rate can be increase

خوارزمية تصنيف شجرة القرار الامثل لمجموعة بيانات == An Optimized Decision Tree Classification Algorithm For A Data Set

Author name: احسان ا. كريم
Supervisor name: Mehdi G. Duaimi
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:
Abstract: A decision tree is an important classification technique in data mining classification. Decision trees have proved to be valuable tools for the classi?cation, description, and generalization of data. Work on building decision trees for data sets exists in

ضغط البيانات باستخدام تمثيل الترميز التسلسلي == Data Compression By Using Chain Code Representation

Author name: فنر علي جودة
Supervisor name: توفيق عبد الخالق الاسدي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:
Abstract: In this thesis we have proposed an efficient lossless image compression system. This system consists of two parts : the first part is compression procedure that is based on two approaches of chain code representation. The first approach is Variable Vertex

طريقه جديدة لكشف واستخراج التزوير من اللوحات الفنية == New Method For Detect And Extract Forgery From Paintings

Author name: سبا راكان سالم
Supervisor name: هناء محسن احمد
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Technology - Department Of Computer Science
Language: English
University location: Baghdad
First pages:
Abstract: نظرا لتوفير العديد من برامج تحرير الصور وادوات معالجتها, مما ادى الى سهوله التغير على المعلومات التي تحملها اللوحات دون ترك اي اثار واضحه عليها جراء العبث بها والتي ادت الي مشكله التحقق من الصور. ومما ادت هذة القضايا المتعلقة بامن الوسائط المتعدده في تطو | Due to availability of many image editing and processing tools, it is possible to easily change the information represented by a digital paintings without leaving any obvious traces of tampering, which led to the problem of verification the image.These i

اكتشاف العيب للصور الشعاعية مع التعليق باستخدام المربع الاصغر لماكنة الدعم الموجه وقواعد عامة وخاصة للتصنيف == Defect Detection of Radiography Image With Annotation Using Lssvm_Gsc Techniques

Author name: وفاء محمد سعيد الاسدي
Supervisor name: يحيى مهدي هادي الميالي
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
University: University of Babylon - College Of Science - Department Of Computer
Language: English
University location: Babylon
Key words:
  • Image Processing
  • Weld Image Defect Detection
  • Image annotation
  • Radiography Image
First pages:
Abstract: استرشادا بالشعوربالمسؤولية ورغبة في مساعدة اكتساب معرفة عميقة حول دراسة تنوع العيوب في صور التصوير الشعاعي، لهذا سنتعرف على هذه العيوب الموجودة في هذه الصور، ومن ثم اعطاء كل صورة بعض الكلمات التي تعكس محتوياتها الرئيسية، وبناء قاعدة بيانات للصور مع الشرح | Guided by the sense of responsibility and its desire to help gain a deep knowledge and the diversity of the defects exist in the radiography images, this Dissertation recognizes the defects exist in the these images, then given each image some keywords re

مقياس اسلوب المؤلفات الادبية للنصوص العربية == Stylometric Authorship Arabic Text Detection

Author name: عمار عادل عبد الرزاق
Supervisor name: طريف كامل مصطفى
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:
Abstract: ان التدوين والنشر الالكتروني جعل عمليات السرقة متاحة وسهلة، وخاصة في مجال المؤلفات الادبية، لذلك اصبح من الضروري وضع بصمة خاصة للمؤلف لمنع عملية الانتحال. التحليل والتنقيب عن النص يعتبر من اهم السمات لقياس اسلوب المؤلف، على سبيل المثال، المؤلفات والرواي | The electronic publications made the theft operations easy and accessible, especially in the field of the literature; therefore, it became necessary to put a style print for the author to prevent the plagiarism.Stylometric authorship attribution is conce

التخطيط الالي لشبكة FTTH الحضرية بالاعتماد على نظم المعلومات الجغرافية == Automated Planning Metropolitan FTTH Network Based on GIS

Author name: زهراء مهدي مطرود
Supervisor name: فالح حسن محمود
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:
Abstract: شركات الاتصالات عادة تسعى لتطوير قطاع الاعمال الخاص بتوزيع الالياف الضوئية ذات السرعة العالية في شبكات ربط المنازل بشبكة رئيسية، مع الاخذ بعين الاعتبار ان العامل المحدد الرئيسي هو التكلفة التي يتعلق معظمها بالاعمال المدنية. وهذا يؤدي الى استراتيجية توزيع | Telecom operators usually develop the business case for the deployment of high speed Fiber to the Home (FTTH) networks, taking into consideration that the major limiting factor is the deployment cost which is mostly related to civil works. This leads to a

نمذجة مقتزح لتحسين تنبؤ استيقاظ متوسط التحكم بالوصول في شبكات الاستشعار اللاسلكيه == Modeling A Suggested Modified Predictive Wakeup Medium Access Control on WSN

Author name: فوزية وليد خزعل
Supervisor name: سعد طالب حسون الجبوري
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Babylon - College Of Science - Department Of Computer
Language: English
University location: Babylon
First pages:
Abstract: The deployment of the wireless sensor networks (WSN) was increased due to the rapid development in all electronic and communication devices. There are many problems and challenges regarding their applications. One of their major challenges is the energy p

تصفية الرسائل غير المرغوب بها اعتمادا على التجمع الضبابي == Spam Filtering Based on Fuzzy Clustering

Author name: مروان بدران محمد الرشيد
Supervisor name: سراب مجيد حميد
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:
Abstract: انتشر استخدام البريد الكتروني في عالم الاتصالات والتواصل ومشاركة المعلومات انتشارا متزايد. لكن يعد الرسائل غير المرغوب به واحد من اهم الانتهاكات التي تقلل من فوائد خدمة البريد الكتروني. يمكن للبريد غير المرغوب به ان يربك النظام بسهوله لكثرته وتكراره واغر | Emails have proliferated in our ever - increasing communication, collaboration and information sharing. Unfortunately, one of the main abuses preventing complete benefits of this service is spam electronic mail (email) or shortly spam. Spam can easily bew

تصميم وبناء نظام هجين للتنبؤ بالشكل الثلاثي للبروتينات == Design And Implementation of Hybrid System For Protein Tertiary Structure Prediction

Author name: مهند محمد جاسم الياسري
Supervisor name: نبیل ھاشم الاعرجي
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
University: University of Babylon - College Of Science - Department Of Computer
Language: English
University location: Babylon
First pages:
Abstract: تبقى مشكلة التنبؤ ببنية البروتين كنوع من التحدي العقلي والتنفيذي على حد سواء. (PSP) تبقى مشكلة التنبؤ ببنية البروتين وبالتالي فان اهداف هذه الاطروحة هي : اولا، اقترح منظورا جديدا للمساهمة في تطوير وزيادة المعرفة في مجال "طي البروتين العملية" (عن طريق وصف | The Protein Structure Prediction (PSP) problem remains as both mental and implemental challenge. Therefore, the objectives of this dissertation are : First, suggest new perspective for contributing in development and knowledge increasing in the "protein f

نظام ذكي لاكتشاف وتمييز الانسان == Intelligent Human Detection And Recognition System

Author name: نهى جميل ابراهيم
Supervisor name: احمد طارق صادق العبيدي | عماد كاظم جبار
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
University: University of Technology - Department Of Computer Science
Language: English
University location: Baghdad
First pages:
Abstract: نظام مراقبة الفيديوي خصوصا للبشر والعربات ھو احد مواضيع البحث الصعبة الحالية في مجال الحاسوب. الكمية الھائلة للبيانات تجعل عملية المراقبة غير قابلة للتطبيق لضمان مراقبة متيقظة من قبلالمشغلين للفترات الطويلة من الوقت بسبب الرتابة والاعياء. كنتيجة، تس | Video surveillance system especially for humans and vehicles, is one of the current challenging research topics in computer vision. The massive amount of data involved makes it infeasible to guarantee vigilant monitoring by human operators for long period

مشاركة الصوت بالاعتماد على اساس المويجات وتحويل الجيب تمام == Compressive Audio Blakley Secret Sharing Using Transform Coding

Author name: زينب طالب درويش
Supervisor name: لؤي ادور جورج
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:
Abstract: مع زيادة استخدام الكمبيوتر والانترنت والبيانات اصبح استخدام الوسائط المتعددة اكثر واكثر على نطاق واسع مما ادى الى ارتفاع الحاجة الى حماية هذه البيانات بشكل كبير وزيادة الحاجة لتطبيق بعض تقنيات التشفير لمنع العبث بهذه المعلومات الهامة والسرية.وبما ان معظم | The increased use of computer and internet had been associated with the wide use of multimedia data. The need for protecting these data has risen dramatically. To prevent the confidential information from being tampered with, one needs to apply some crypt

توليد كفؤء لمفتاح العلامة المائية == Generation of An Efficient Digital Watermark Key

Author name: سارة فارس عامر
Supervisor name: هالة بهجت عبد الوهاب
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Technology - Department Of Computer Science
Language: English
University location: Baghdad
First pages:
Abstract: مع انتشار شبكة الانترنت على نطاق العالم. اصبح لاصحاب الوسائط الرقمية وسائل غير مكلفه وسريعة لنشر اعمالهم حول العالم, العلامات المائيةالرقمية هو وضع معلومات اضافية داخل الوسائط الرقمية لحماية الوسائط من النسخ الغير مخول وتحديد الملكية. تقنية العلامة المائي | With the proliferation of the World Wide Web, authors of digital media now have an inexpensive means to distribute their works to a growing audience. Digital watermarks provide means of placing additional information within digital media so if copies are

تحسين خوارزمية التوطين في شبكات الاستشعار اللاسلكية == An Improved Localization Algorithm In Wireless Sensor Networks

Author name: معد محسن مجول
Supervisor name: اسماء قاسم شريف
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:
Abstract: اليوم، اصبحت شبكة الاستشعار اللاسلكية (WSN) التكنولوجيا الرئيسة لانواع مختلفة من البيئات الذكية، شبكة الاستشعار اللاسلكية تسهل عملية المراقبة وسيطرة على البيئات المادية من مواقع بعيدة مع دقة افضل. شبكة الاستشعار اللاسلكية تعتمد في عملها على "العقد" التي ت | Today, wireless sensor network (WSN) has become a main technology for different kinds of smart environments, WSN facilitate the monitoring and control of physical environments from remote locations with the best accuracy. It is built from nodes of the few

تقويم امنية البلوتوث باستخدام تقنية المنطق المضبب == Evaluation of Bluetooth Security Based on Fuzzy Logic Technique

Author name: سمير حميد عبد الشهيد
Supervisor name: ستار بدر سدخان المالكي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Babylon - College Of Science - Department Of Computer
Language: English
University location: Babylon
First pages:
Abstract: خوارزمية تشفير البلوتوث E0 هي نوع من انظمة التشفير الانسيابي، مع امنية جيدة، والتي تستخدم على نطاق واسع في نظام الاتصالات اللاسلكية. الهدف الرئيسي لهذه الرسالة هو استخدام المنطق المضبب لتصميم مقوم هما (E تم اختيار معلمتين ( يتعلقان بمتتابعة المفتاح الم | The Bluetooth E0 cryptosystem is a type of the stream cipher cryptosystem, with good security, and it is widely used in wireless communication systems.The main aim of this thesis is to use the Fuzzy Logic to design an evaluator for the security of Bluet

انظمة كشف التطفل اللاسلكية == Wireless Intrusion Detection Systems

Author name: هبة محمود يوسف
Supervisor name: سراب مجيد حميد
General topic: Computer Science
Specific topic: Computer Science
Degree: Higher Diploma
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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شبكات الاستشعار البصرية : التحديات والفرص المتاحة == Visual Sensor Networks : Challenges And Opportunities

Author name: محمد مصطاف حسين
Supervisor name: براء علي عطية
General topic: Computer Science
Specific topic: Computer Science
Degree: Higher Diploma
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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كتابة البرامج التشغيلية للاجهزة المتوافقة مع العمل ضمن Touch Pad NEC PC-6051 9x/ME انظمة التشغيل نوافذ == Writing Windows 9x/ME Device Driver For Touch Pad NEC PC-6051 Compatible

Author name: رسول هاشم عبد الرسول السعدي
Supervisor name: اسماء عبد الله فهد
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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اليات التحول من IPv4 الى IPv6 == Transition Mechanisms From IPv4 to IPv6

Author name: رامي خليل احمد
Supervisor name: عماد جاسم محمد
General topic: Computer Science
Specific topic: Computer Science
Degree: Higher Diploma
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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نظام تتبع الحزم البريدية باستخدام نظام تحديد المواقع == Tracking System Of Mail Packages Using GPS

Author name: احمد هاشم باقر الشرفاء
Supervisor name: عماد جاسم محمد
General topic: Computer Science
Specific topic: Computer Science
Degree: Higher Diploma
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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تطبيق نظام تمييز الالفاظ باستخدام التحويل المويجي والشبكات العصبية == The Implementation Of Phoneme Recognition System Using Multi Wavelet Transform And Artificial Neural Networks

Author name: مي عبد المنعم ابو طبيخ
Supervisor name: وليد امين الجوهر
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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تمييز النسيج باستخدام طريقة توزيع الكثافة == Texture Recognition Using Density Distribution Method

Author name: نجمة درع ظاهر
Supervisor name: لؤي ادور جورج
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: Al-Nahrain University - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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استخدام هياكل البيانات والمسماة (k-d tree) للبحث عن المعلومات ذات البعدين او اكثر == Multidimensional Keys Searching Using K-D TREE

Author name: محمود احمد عثمان
Supervisor name: مكية كاظم حمد
General topic: Computer Science
Specific topic: Computer Science
Degree: Higher Diploma
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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تحسين الصور الطبية العظمية == Skeleton Medical Image Enhancement

Author name: هدى مصطفى رضا البياتي
Supervisor name: فيصل غازي محمد
General topic: Computer Science
Specific topic: Computer Science
Degree: Higher Diploma
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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ازالة الضوضاء النبضية المركزة == Removal Of Intensive Impulsive Noise

Author name: الاء عبد الرحمن خالد
Supervisor name: لؤي ادور جورج
General topic: Computer Science
Specific topic: Computer Science
Degree: Higher Diploma
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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مراقبة اداء الحاسبة عن بعد == Remote PC Performance Monitoring

Author name: هشام رعد جعفر الاسدي
Supervisor name: فينوس وزير سماوي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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تشكيل وبرمجة الانظمة الفورية والمضمنة == Real-Time And Embedded Systems Modeling And Programming

Author name: بتول محمد صالح جواد
Supervisor name: لمياء حافظ خالد
General topic: Computer Science
Specific topic: Computer Science
Degree: Higher Diploma
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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بنية المفاتيح العامة == Public Key Infrastructure

Author name: عباس رحيم عبد الحمزة
Supervisor name: لؤي ادور جورج
General topic: Computer Science
Specific topic: Computer Science
Degree: Higher Diploma
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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ايجاد المسار الامثل == Optimal Path Routing

Author name: احمد عبد الزهرة شكارة
Supervisor name: لؤي كاظم عبود
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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محلل حزم الشبكة == Network Packets Analyzer

Author name: ياسمين كامل كريم
Supervisor name: سراب مجيد حميد
General topic: Computer Science
Specific topic: Computer Science
Degree: Higher Diploma
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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Lossless Image Compression Using Prediction Coding And LZW Scheme

Author name: هدى محمود حسون
Supervisor name: لؤي ادور جورج
General topic: Computer Science
Specific topic: Computer Science
Degree: Higher Diploma
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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نظام تمييز لوحات ارقام السيارات العراقية == Iraqi License Plate Recognition System

Author name: ندى نجيل كمال
Supervisor name: لؤي ادور جورج
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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مشكلة الطلاء بالاعتماد على الخوارزميات التطورية == Inpainting Problem Based On Evolutionary Algorithms

Author name: زينب رائد احمد الربيعي
Supervisor name: ميادة فيصل عبد الحليم
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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الخوارزمية الجينية للتجميع الداينميكي لشبكات المتحسسات اللاسلكية == Genetic Algorithm For Dynamic Clustering Of Wireless Sensor Networks

Author name: اينان امين خليل ابراهيم
Supervisor name: براء علي عطية
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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طريقة الفهرسة الهرمية لقواعد البيانات المكانية == Hierarchal Indexing Method For Spatial Database

Author name: ولاء سامي تهلوك
Supervisor name: لؤي ادور جورج
General topic: Computer Science
Specific topic: Computer Science
Degree: Higher Diploma
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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تقنية التعريف على الخط اليدوي بالاعتماد على التحويل الموجي == Handwritten Identification Technique Based On Wavelet Transform

Author name: علي هادي حسين
Supervisor name: صالح مهدي علي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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نظام تمييز الارقام الهندية المكتوبة يدويا == Hand Written Hindi Numerals Recognition System

Author name: يوسف مشتاق لطيف
Supervisor name: لؤي ادور جورج
General topic: Computer Science
Specific topic: Computer Science
Degree: Higher Diploma
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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نموذج تصنيف عام باستخدام وحدات الشبكات العصبية المتعاونة == General Classification Model Using Cooperative Neural Networks

Author name: هناء محمد مشجل
Supervisor name: بان نديم ذنون
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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تخمين القيمة المفقودة باستخدام نظرية المجموعة الصارمة وخوارزمية النحل == Estimating Null Value Using Rough Set Theory And Bees Algorithm

Author name: سامر عادل شاكر
Supervisor name: احمد طارق صادق العبيدي | مهدي كزار دعيمي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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تطبيق التعليم الالكتروني == E-Learning Application

Author name: خالد صباح نوري
Supervisor name: عماد جاسم محمد
General topic: Computer Science
Specific topic: Computer Science
Degree: Higher Diploma
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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الكشف عن فايروسات الايميل == E-Mail Virus Detection

Author name: سهاد عبد الرحمن يوسف العزي
Supervisor name: لؤي ادور جورج
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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تصميم وبناء نظام تحرير نسيجي == Design And Implementation Of Texture Editing System

Author name: عبد الرحمن عصام كاظم
Supervisor name: لؤي كاظم عبود
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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تصميم وبناء اطار لمستودع بيانات == Design And Implementation Of Framework For A Data Warehouse

Author name: حيدر خضير محسن المحياوي
Supervisor name: مهدي كزار دعيمي
General topic: Computer Science
Specific topic: Computer Science
Degree: Higher Diploma
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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تجميع وثائق XML على اساس الهيكل == Clustering XML Documents Based On Structure

Author name: ياسر عبد الحميد نجم
Supervisor name: مهدي كزار دعيمي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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تصميم وتطبيق منظومة استرجاع للمعلومات النصية بالاعتماد على المنطق المضبب == Design And Implementation Of Text-Based Information Retrieval System Using Fuzzy Logic

Author name: ابراهيم عامر حميد
Supervisor name: لؤي ادورد جورج
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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تحديد هوية المتكلم باستخدام ) VQ ( و ) MFCC ) == Speaker Identification Using MFCC And VQ

Author name: يحيى عبد الامير محمد
Supervisor name: بشار مكي نعمة
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: Mustansiriyah University - College Of Science - Department Of Computer Science
Language: English
University location: Baghdad
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نمذجة الصور الحرارية لتمييز حالات الثدي المسرطنه باستخدام تقنيات معالجة الصور == Thermal Images Modeling For Identify Breast Abnormalities Using Image Processing Techniques

Author name: ندى صبيح علي
Supervisor name: زياد محمد عبود
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: Mustansiriyah University - Faculty Of Education
Language: English
University location: Baghdad
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تحليل الشفرات بالاعتماد على تقنيات الحوسبة المرنة المعدلة == Cryptanalysis Based On Modified Soft Computing Techniques

Author name: محمد حسين احمد
Supervisor name: سالم علي عباس
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: Mustansiriyah University - Faculty Of Education
Language: English
University location: Baghdad
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نظام التعرف على قزحية العين باستخدام الشبكات العصبية الاحتمالية ومصفوفة التكرارات الرمادية == Iris Recognition System Using PNN And Co-Occurrence Matrix

Author name: شيماء اكرم حنتوش
Supervisor name: ضياء عبد الحسين جمعة الزبيدي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: Mustansiriyah University - College Of Science - Department Of Computer Science
Language: English
University location: Baghdad
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تصميم نظام مؤتمت لتلخيص النصوص العربية == Design An Arabic Automated Text Summaization System

Author name: سعاد عبد الوهاب اسماعيل
Supervisor name: احمد طارق صادق العبيدي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: Mustansiriyah University - Faculty Of Education
Language: English
University location: Baghdad
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تطويرات نظرية المجموعة الصارمة وخوارزمية ID3 لتحليل البيانات == Rough Set Theory And ID3 Algorithm Modifications For Data Analysis

Author name: سرى ناصر مريوش
Supervisor name: احمد طارق صادق العبيدي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: Mustansiriyah University - Faculty Of Education
Language: English
University location: Baghdad
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تشفير MPEG-4 بالاستناد الى RC6 و RC4 == MPEG-4 Encryption Based On RC6 And RC4

Author name: رفاه سامح شاكر
Supervisor name: عبد الوهاب سامي ابراهيم
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: Mustansiriyah University - Faculty Of Education
Language: English
University location: Baghdad
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خوارزمية هجينة من خوارزمية طائر الوقواق وخوارزمية التغذية الرجعية مع تحديث معامل التعلم لتسريع عملية الالتقاء == A Hybrid Cuckoo Search And Back-Propagation Algorithm With Dynamic Learning Rate To Speed Up The Convergence Process

Author name: رشا ماجد حسون سعيد
Supervisor name: سفانة حيدر عباس
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: Mustansiriyah University - Faculty Of Education
Language: English
University location: Baghdad
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قارئ العلامة الضوئية بالاعتماد على تعديل معمارية الاتصال MMCA متعدد == Optical Mark Reader Based On Modified Multi-Connect Architecture MMCA

Author name: رسل حسين حسن
Supervisor name: عماد عيسى عبد الكريم
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: Mustansiriyah University - Faculty Of Education
Language: English
University location: Baghdad
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تمييز الوجه واسترجاعه باستخدام العلاقات الترابطية == Face Recognition And Retrieval Using Association Rules

Author name: رانية علي مصطفى
Supervisor name: عبد الوهاب سامي ابراهيم
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: Mustansiriyah University - Faculty Of Education
Language: English
University location: Baghdad
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كشف الصورة المزيفة باستخدام ترميز الصورة والنحت == Image Forgery Detection Using Image Coding And Hashing

Author name: ثامر عبد الستار عبد الجبار
Supervisor name: حيدر كاظم حمود
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: Mustansiriyah University - Faculty Of Education
Language: English
University location: Baghdad
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تمييز الحروف العربية المكتوبة يدويا باستخدام تحويل متعدد == Arabic Handwritten Characters Recognition Using Hybrid Transform

Author name: انعام سلمان عبود
Supervisor name: انمار عبد الوهاب رزاق
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: Mustansiriyah University - Faculty Of Education
Language: English
University location: Baghdad
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استخدام تشفير المنحني الاهليلجي لتامين تطبيقات الحوسبة السحابية == Elliptic Curve Cryptography For Securing Cloud Computing Applications

Author name: امل عبد الباقي مريوش
Supervisor name: سالم علي عباس
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: Mustansiriyah University - Faculty Of Education
Language: English
University location: Baghdad
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خوارزمية تشفير كتلي فعاله ترتكز على دوال الفوضى لتطبيقات الفيديو الامنه == An Efficient Block Encryption Cipher Based On Chaotic Maps For Secure Video Applications

Author name: احمد كريم شبيب
Supervisor name: سالم علي عباس
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: Mustansiriyah University - Faculty Of Education
Language: English
University location: Baghdad
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تمييز تعابير الوجه باستخدام التحويلات المتعددة == Facial Expression Recognition Using Multi Transforms

Author name: احمد رافد هاشم
Supervisor name: انمار عبد الوهاب عبد الرزاق
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: Mustansiriyah University - Faculty Of Education
Language: English
University location: Baghdad
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الكشف شبه التلقائي لاعتلال المقلة السكري في صور الشبكية باستخدام تقنييات تحليل الصور == Semi - Automatic Detection Of Diabetic Maculopathy From Fundus Images Using Image Analysis Techniques

Author name: ايمان عبد العزيز غني الظاهر
Supervisor name: كمال هادي صكر | فيصل غازي محمد
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad - College Of Science - Department of Computer Science
Language: English
University location: Baghdad
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