2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)最新文献

Routing algorithm optimization for software defined network WAN 软件定义网络广域网路由算法优化

2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2016-12-01 DOI: 10.1109/AIC-MITCSA.2016.7759945

A. Al-Sadi, Ali Al-Sherbaz, J. Xue, Scott J. Turner

{"title":"Routing algorithm optimization for software defined network WAN","authors":"A. Al-Sadi, Ali Al-Sherbaz, J. Xue, Scott J. Turner","doi":"10.1109/AIC-MITCSA.2016.7759945","DOIUrl":"https://doi.org/10.1109/AIC-MITCSA.2016.7759945","url":null,"abstract":"Software Defined Network (SDN) provides a new fine-grained interface enables the routing algorithm to have an a global view of the network throughputs, connectivity and flows at the data-path. This paper aims to provide a novel approach for dynamic routing algorithm for Software Defined Network in Wide Area Network (SDN-WAN); based on using a modified shortest-widest path algorithm with a fine-grained statistical method from the OpenFlow interface, called Shortest-Feasible OpenFlow Path (SFOP). This algorithm is designed to identify the optimal route from source to destination, providing efficient utilization of the SDN-WAN resources. It achieves this aim by considering both the flow requirements and the current state of the network. SFOP computes the optimal path which provides the feasible bandwidth with the lowest hop count (delay). That will present better stability in SDN communication, QoS, and usage of available resources. Moreover, this algorithm will be the base for an SDN controller because it extracts the widest available bandwidth from source to destination for a single path. It enables the controller to decide whether it is enough to use this simple algorithm only, or if a more complicated algorithm that provides larger bandwidth such as multiple-path algorithms is needed. Finally, a testbed has been implemented using MATLAB Simulator, Pox controller, and Mininet emulator will be discussed. The latency comparison of SFOP algorithm with three other algorithm's latencies shows that this algorithm finds better latency for an optimal path. Evidence will be shown that demonstrates that SFOP has good stability in dynamic changes of SDN-WAN.","PeriodicalId":315179,"journal":{"name":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133015890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 19

Modeling, design and analysis of an induction heating coil for brazing process using FEM 采用有限元法对钎焊过程中感应加热线圈进行建模、设计和分析

2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2016-05-09 DOI: 10.1109/AIC-MITCSA.2016.7759918

Mohammad Hameed Khazaal, Isam M. Abdulbaqi, R. Thejel

引用次数: 10

Identifying multiple sclerosis lesions in MR images using image processing techniques 利用图像处理技术识别磁共振图像中的多发性硬化症病变

2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2016-05-09 DOI: 10.1109/AIC-MITCSA.2016.7759913

S. Ali, A. Maher

引用次数: 5

Ontology based reasoning for solving passenger train optimization problem 基于本体推理的客运列车优化问题求解

2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2016-05-09 DOI: 10.1109/AIC-MITCSA.2016.7759951

Hayder Hendi, Adeel Ahmad, M. Bouneffa, C. Fonlupt

{"title":"Ontology based reasoning for solving passenger train optimization problem","authors":"Hayder Hendi, Adeel Ahmad, M. Bouneffa, C. Fonlupt","doi":"10.1109/AIC-MITCSA.2016.7759951","DOIUrl":"https://doi.org/10.1109/AIC-MITCSA.2016.7759951","url":null,"abstract":"The Logistic processes generally lead to complex physical flows dealing with various logistic elements. It has been widely observed that the quality of uncontrolled processes decline with the evolving complexity. It may make them incoherent and quasi obsoletes. Thus, the continuous optimization of logistic processes is essential for the consistent continuity of logistic activities, and henceforth, it supports their desired growth. In this paper, we propose a reasoning system that uses the conceptual domain of logistics and their optimization. The proposed approach is mainly based on the definition of logistic terminologies using ontology. We intend, that a logistic expert may use defined terms to specify a problem. These can be matched to extract the involved logistic processes. It may assist a logistics expert to identify and/or precisely specify the logistic problem. Furthermore, it may identify the logistic processes, that can be executed, to resolve the problem and consequently to resolve the inherent optimization problems. We have been experimenting the different solutions of the Passenger Transportation Problem and eventually built a software framework (based on the composition of web services), to semi-automatically assist the resolution procedure of identified optimization problems.","PeriodicalId":315179,"journal":{"name":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115962595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Feature extraction of brain event-related potentials using cubic spline technique 基于三次样条技术的脑事件相关电位特征提取

2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2016-05-09 DOI: 10.1109/AIC-MITCSA.2016.7759927

M. A. Raheem, E. A. Hussein

引用次数: 0

Performance-vetted 3-D MAC processors for parallel volumetric convolution algorithm: A 256×256×20 MRI filtering case study 性能审查的3-D MAC处理器并行体积卷积算法:256×256×20 MRI过滤案例研究

2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2016-05-09 DOI: 10.1109/AIC-MITCSA.2016.7759920

S. Hasan

{"title":"Performance-vetted 3-D MAC processors for parallel volumetric convolution algorithm: A 256×256×20 MRI filtering case study","authors":"S. Hasan","doi":"10.1109/AIC-MITCSA.2016.7759920","DOIUrl":"https://doi.org/10.1109/AIC-MITCSA.2016.7759920","url":null,"abstract":"3-D raw data collections introduce noise and artifacts that need to be recovered from degradation by an automated filtering system before further machine analysis. Serving this goal, five performance-efficient FPGA-prototyped processors are devised to realize parallel 3-D “filtering algorithm”. These parallel processors tackle the major bottlenecks and limitations of existing multiprocessor systems in input volumetric data, processing word-length, output boundary conditions and inter-processor communications. Then, greyscale 256×256×20 MRI case study are efficiently filtered and improved by a class of common convolution operators and their developed ones respectively. Analytically, the performance of the five implemented processors are evaluated in term of area, speed, dynamic power, and throughput. All five processors efficiently perform in high real-time throughput up to (114 VPS), lowest power consumption of down to (64 mW) at maximum operating frequency. The devised processors can be embedded in mobile MRI or fMRI scanner and as a pre-filtering stage in any portable automated fMRI systems.","PeriodicalId":315179,"journal":{"name":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127464439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 19

Design and implementation of voice encryption system using XOR based on Hénon map 基于hsamnon图的异或语音加密系统的设计与实现

2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2016-05-09 DOI: 10.1109/AIC-MITCSA.2016.7759915

Amina Mahdi, Saad S. Hreshee

引用次数: 9

A hybrid neural network using ICA and CGA for skin detection in RGB images 基于ICA和CGA的RGB图像皮肤检测混合神经网络

2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2016-05-09 DOI: 10.1109/AIC-MITCSA.2016.7759950

Sara Khosravi, A. Chalechale

{"title":"A hybrid neural network using ICA and CGA for skin detection in RGB images","authors":"Sara Khosravi, A. Chalechale","doi":"10.1109/AIC-MITCSA.2016.7759950","DOIUrl":"https://doi.org/10.1109/AIC-MITCSA.2016.7759950","url":null,"abstract":"Skin color recognition is a useful and popular method in human-computer interaction and also in analyzing the content. In addition, the application programs for recognizing and detecting human body parts, faces, naked people, and retrieving individuals in multimedia databases all make use of skin recognition. Thus, finding a suitable method in order to segment the pixels of an image into different groups such as skin can be very important. Imperialist competitive algorithm (ICA) is a recently introduced evolutionary algorithm that showed a promising performance in some of the optimization problems. In this article, first the combined ICA-ANN, continuous genetic algorithm (CGA) and gradient descent algorithm were proposed and their performance was tested on images in RGB color spaces. In the proposed algorithms, a multilayer perceptron neural network manages the problem's constraints, and ICA and genetic algorithms search to calculate the best response than the gradient descent algorithm. The proposed skin classification algorithms perform directly on the RGB color space. The results clearly indicate that the proposed algorithm significantly improves the performance of an MLP neural network.","PeriodicalId":315179,"journal":{"name":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130712945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Smart intensive care unit desgin based on wireless sensor network and internet of things 基于无线传感器网络和物联网的智能重症监护病房设计

2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2016-05-09 DOI: 10.1109/AIC-MITCSA.2016.7759905

Hanady S. Ahmed, Abduladheem A. Ali

{"title":"Smart intensive care unit desgin based on wireless sensor network and internet of things","authors":"Hanady S. Ahmed, Abduladheem A. Ali","doi":"10.1109/AIC-MITCSA.2016.7759905","DOIUrl":"https://doi.org/10.1109/AIC-MITCSA.2016.7759905","url":null,"abstract":"A healthcare monitoring system is designed which can be used in the hospitals to monitor people who need to an intensive care. This system can be implemented on many biological signals. ECG signal is selected for put in practice in this work. Since ECG signal is measured in mille volt, it needs to be amplified. Also it is a noisy signal, so it needs to be filtered. ECG acquisition part contains AD620 Instrumentation Amplifier due to its low current noise. The network of patients nodes are require to be available in the intensive care room for measurement. A base node collects these many signals to be monitored in the nursing room. For wireless transmitreceive, nRF24L01+ wireless module is used. ATmega328 MCU in the Arduino Uno board is used in all node. LabVIEW software is programmed to display ECG signals as a waveform chart. For transferring ECG signals to the remote doctor, a Web Pager tool in the LabVIEW program is employed. So the remote doctor could be check his patients condition through internet. The system was implemented for three nodes.","PeriodicalId":315179,"journal":{"name":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129084641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15

Design of a ZigBee based WSN with channel coding for energy and temperature monitoring 基于ZigBee的无线传感器网络的能量和温度监测信道编码设计

2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2016-05-09 DOI: 10.1109/AIC-MITCSA.2016.7759900

Hikmat N. Abdullah, T. M. Salman, Haider A. H. Alobaidy

引用次数: 3