2017 12th International Conference on Computer Engineering and Systems (ICCES)最新文献_第6页

Performance evaluation for video streaming data over LTE-A networks LTE-A网络视频流数据的性能评估

2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275396

M. A. Mohamed, Hegazi. Ibrahim

引用次数: 0

Performance evaluation of proposed CAC over WiMAX/MPLS-TE/VPN networks 基于WiMAX/MPLS-TE/VPN网络的拟议CAC性能评估

2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275373

A. S. G. Allah, Nada El-shennawy, N. El-Fishawy

引用次数: 0

Human activity recognition using shape moments and normalized fourier descriptors 基于形状矩和归一化傅立叶描述子的人类活动识别

2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275332

Hanan Samir, H. Abdelmunim, G. Aly

{"title":"Human activity recognition using shape moments and normalized fourier descriptors","authors":"Hanan Samir, H. Abdelmunim, G. Aly","doi":"10.1109/ICCES.2017.8275332","DOIUrl":"https://doi.org/10.1109/ICCES.2017.8275332","url":null,"abstract":"This paper presents a video based system for recognizing different continuous human activities in real time using a single stationary camera. The proposed system has a motion descriptor that contains shape moments as well as normalized Fourier descriptors. The main idea of this system is to detect moving objects in each frame and associate the detections to the same object over time. We employ an efficient thresholding technique to segment the objects of interest. The second stage of the proposed system is to extract the object features. The first feature part is constructed by extracting the object contour and estimate its normalized Fourier descriptors. The other part is extracted by the shape moments. We combined the shape moments to produce an invariant feature that is invariant to rotation, translation and scaling. We adopt the multi-class support vector machines (SVM) and Naive Bayes classifiers. The multi-class SVM shows better performance than the other method with a recognition rate up to 94.46%. We evaluated activity recognition on 325 videos of thirteen distinct Human activities (e.g., Walking, Running, Jumping, Hand-waving, Bending and some suspicious activities like Kicking, Punching, Fall floor and shooting gun, etc.) recorded for 260 different persons. Experimental results on three data set Weizman, KTH and HMDB validate the proposed system reliability and efficiency.","PeriodicalId":170532,"journal":{"name":"2017 12th International Conference on Computer Engineering and Systems (ICCES)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130675852","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: 2

Incremental branching adaptive radix tree 增量分支自适应基数树

2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275358

Heba El-Fadly, E. Sallam, Mohamed Shoaib

引用次数: 1

Sub-Nyquist wideband spectrum sensing based on random demodulation in cognitive radio 认知无线电中基于随机解调的亚奈奎斯特宽带频谱感知

2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275398

Marwa Mashhour, A. Hussein

{"title":"Sub-Nyquist wideband spectrum sensing based on random demodulation in cognitive radio","authors":"Marwa Mashhour, A. Hussein","doi":"10.1109/ICCES.2017.8275398","DOIUrl":"https://doi.org/10.1109/ICCES.2017.8275398","url":null,"abstract":"Cognitive radio (CR) has emerged as one of the most promising candidate solutions for improving spectrum utilization in next generation cellular networks. Spectrum sensing is a process used to detect the unused spectrum bands, holes, to enhance the utilization of scarce radio spectrum. Sampling rate is the bottleneck for spectrum sensing over multi-GHz bandwidth. Compressed sensing (CS) has been recently applied to reduce the sampling rate. In this paper, a wideband sub-Nyquist spectrum sensing architecture based on random demodulation is designed. A Simulink model of the random demodulator based spectrum sensing architecture is built and simulated on MATLAB to prove the system functionality. Implementation of an efficient high speed chipping sequence for the random demodulator is presented. The proposed chipping sequence architecture can operate at 2.27 GHz clock frequency in targeted technology of 130 nm with a speed up of 13.5% compared to previously published work. Moreover, a power-optimized architecture is implemented. The Orthogonal Matching Pursuit (OMP) which is one of the greedy iterative algorithms that is suitable for VLSI implementation is used for spectrum recovery.","PeriodicalId":170532,"journal":{"name":"2017 12th International Conference on Computer Engineering and Systems (ICCES)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126577797","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: 3

High performance computing model for action localization in video 视频中动作定位的高性能计算模型

2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275360

A. S. Elons, Magdy Abol-Ela

引用次数: 0

On the mobility of data collectors in WSN 无线传感器网络中数据采集器的可移动性研究

2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275290

A. S. Muhammad, Samy S. Soliman, Ashraf H. Badawi

引用次数: 1

Intelligent agent for smart grid fault location isolation using Simulink 基于Simulink的智能电网故障定位隔离代理

2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275368

Abdelrahman E. El-Ghareeb, Hamdy M. Mousa, A. El-Sisi

{"title":"Intelligent agent for smart grid fault location isolation using Simulink","authors":"Abdelrahman E. El-Ghareeb, Hamdy M. Mousa, A. El-Sisi","doi":"10.1109/ICCES.2017.8275368","DOIUrl":"https://doi.org/10.1109/ICCES.2017.8275368","url":null,"abstract":"In this paper, implementation of fault location isolation for self-healing power distribution system in smart grid using intelligent agent approach is presented. Self-healing grid is an important feature in smart grid. Distributed techniques that handle complexity of fault location isolation and service restoration algorithms eliminate centralized decision making and computational burden allowing faster response, which increase system reliability in an electric grid. For this reason, multi-agent system is one of the most suitable approaches for applying fault location isolation and service restoration algorithms. Every agent is configured to be fully autonomous and distributed having their design objective. A hierarchal architecture for multi-agent system is proposed for less communication burden. Every agent can communicate with neighbor agents within same level or a higher level parent agent. When fault occur, every zone agent read and exchange measured data with neighbor agents. Agent that observe a higher change in measured data will isolate fault and send isolated fault location to feeder agent for restoration decision process.","PeriodicalId":170532,"journal":{"name":"2017 12th International Conference on Computer Engineering and Systems (ICCES)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126065169","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: 1

Hybrid model for cloud data security using steganography 使用隐写术的云数据安全混合模型

2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275292

Moshira A. Ebrahim, I. El-Maddah, H. K. Mohamed

引用次数: 9

A smart voltage stability maneuver algorithm for voltage collapses mitigation 一种缓解电压崩溃的智能电压稳定机动算法

2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275365

M. Usama, H. K. Mohamed, I. El-Maddah, M. A. Shedied

{"title":"A smart voltage stability maneuver algorithm for voltage collapses mitigation","authors":"M. Usama, H. K. Mohamed, I. El-Maddah, M. A. Shedied","doi":"10.1109/ICCES.2017.8275365","DOIUrl":"https://doi.org/10.1109/ICCES.2017.8275365","url":null,"abstract":"In the power system, the instantaneous and permanent stability is a major requirement cannot be overlooked. Because of the power grid large-scale systems, any disturbance anywhere on the power grid could pose a reason of overall dynamic imbalances. Major consequences could be occurred to the electricity feeding across wide areas of country which is called partial blackout, even entire country which is called overall blackout. It is perhaps for this reason that the existence voltage stability indices which indicate the power grid system stability level is very essential. With knowing the voltage stability level of the transmission lines that involves the power grid in real time (online operation), the voltage stability of the entire power grid could be obtained easily. There are several mathematical base voltage indices. But in this proposal, another voltage stability index will be build based on the machine learning techniques to mitigate the voltage collapse phenomenon. This novel predictor is proposed in transient stability analysis based on machine learning techniques such as (Linear regression, neural network, and Decision tree). This predictor is built after a comparison was made between the impacts of various machine learning algorithms using different datasets. Three different mathematical voltage stability indices (FVSI, Lmn, and NLSI) had been used to prepare datasets for the training purpose. An early warning system had been built based on the proposed predictor. This early warning system could be used to inform the system operator with the hazards of voltage instability issues face the electric power grid and visualize these hazards. The E.W.S had then been used as a kernel to build V.S.A.M.A (Voltage Stability Automatic Maneuver Algorithm) that can handle the voltage instability issue.","PeriodicalId":170532,"journal":{"name":"2017 12th International Conference on Computer Engineering and Systems (ICCES)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131619174","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: 2