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2015 Tenth International Conference on Computer Engineering & Systems (ICCES)最新文献

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GPU-accelerated real-time video background subtraction gpu加速实时视频背景减法
2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393013
Ramy Boghdady, Cherif R. Salama, A. Wahba
{"title":"GPU-accelerated real-time video background subtraction","authors":"Ramy Boghdady, Cherif R. Salama, A. Wahba","doi":"10.1109/ICCES.2015.7393013","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393013","url":null,"abstract":"Identifying objects of interest in a video sequence is a fundamental and essential part in many vision systems. A common method to achieve that goal is to perform background subtraction. For automated surveillance systems with multiple cameras, real-time background subtraction is particularly important. In this paper, we examine how to exploit GPU parallelism to accelerate the single Gaussian background subtraction algorithm achieving real-time processing of multiple concurrent videos. Experiments performed on a low end GPU showed promising results.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115989081","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: 5
Email filtering based on supervised learning and mutual information feature selection 基于监督学习和互信息特征选择的邮件过滤
2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393036
Walaa K. Gad, S. Rady
{"title":"Email filtering based on supervised learning and mutual information feature selection","authors":"Walaa K. Gad, S. Rady","doi":"10.1109/ICCES.2015.7393036","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393036","url":null,"abstract":"Electronic mail is one of today's most important ways to communicate and transfer information. Because of fast delivery and easy to access, it is used almost in every aspect of communication in work and life. However, the increase in email users has resulted in a dramatic increase in spam emails during the past few years. In this paper, we propose an email-filtering approach that is based on supervised classifier and mutual information. The proposed model has the advantage of combining machine supervised learning with feature selection. Term frequency (TF) is presented to assign relevance weights to words of each email class. We conduct experiments to compare between six different classifiers. Results show that the proposed approach has high performance in terms of precision, recall and accuracy performance measures.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129640533","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: 12
Proposed Document Frequency technique for minimizing dataset in Web crawler 提出了一种基于文档频率的网络爬虫数据集最小化技术
2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393008
A. Sarhan, Ghada M. Hamissa, Heba E. Elbehiry
{"title":"Proposed Document Frequency technique for minimizing dataset in Web crawler","authors":"A. Sarhan, Ghada M. Hamissa, Heba E. Elbehiry","doi":"10.1109/ICCES.2015.7393008","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393008","url":null,"abstract":"The explosive growth of webpage number on the Web has brought up some problems in the search process. One of these problems is that the general purpose search engines often return too many irrelevant results when users are searching for specific information on a given topic. Another problem is the massive increase in the number of pages to be indexed by Web search systems. In this research, two steps for Web Crawling are used to decrease these difficulties. First step is the feature selection for the datasets used. A proposed algorithm of feature selection, which uses the Document Frequency technique for the term in the category, is presented. Second step is Web page classification. Two famous techniques of Web page classification are used: (i) Support Vector Machine and (ii) Naïve Bayes Classifier. It is concluded that the proposed algorithm, using Document Frequency technique, reduces the redundancy during feature selection and increases accuracy during Web page classification. Complete evaluation is performed, in JAVA, to indicate the effectiveness of our proposed algorithm.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117146514","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
An efficient high-order masking of AES using SIMD 一个有效的高阶掩码AES使用SIMD
2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393076
Abdulaziz Miyajan, Z. Shi, Chun-Hsi Huang, T. Al-Somani
{"title":"An efficient high-order masking of AES using SIMD","authors":"Abdulaziz Miyajan, Z. Shi, Chun-Hsi Huang, T. Al-Somani","doi":"10.1109/ICCES.2015.7393076","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393076","url":null,"abstract":"This paper presents an efficient technique to speed up the higher-order masking algorithm for AES using single instruction multiple data (SIMD) instructions. In this paper, several countermeasures are combined to mitigate more than one type of side channel attacks (SCA). Furthermore, we enhanced the performance by applying higher-order masking and removing the use of any lookup tables using SIMD instructions. We implemented the proposed scheme on a Linux machine with an Intel processor that supports SSSE3 instructions. The proposed method performed six times faster than the second order and was five times faster than the third order masking scheme in the literature. The speed of our implementation makes it more practical and hence attractive.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116981351","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
Sparse locally linear and neighbor embedding for nonlinear time series prediction 稀疏局部线性和邻域嵌入非线性时间序列预测
2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393078
M. Fakhr
{"title":"Sparse locally linear and neighbor embedding for nonlinear time series prediction","authors":"M. Fakhr","doi":"10.1109/ICCES.2015.7393078","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393078","url":null,"abstract":"This paper proposes a dictionary-based L1-norm sparse coding for time series prediction which requires no training phase, and minimal parameter tuning, making it suitable for nonstationary and online prediction applications. The prediction process is formulated as a basis pursuit L1-norm problem, where a sparse set of weights is estimated for each test vector. Constrained sparse coding formulations are compared including sparse local linear embedding and sparse nearest neighbor embedding. 16 time series datasets are used to test the approach for offline time series prediction where the training data is fixed. The proposed approach is also compared to Bagging trees (BT), least-squares support vector regression (LSSVM) and regularized Autoregressive model. The proposed sparse coding prediction shows better performance than the LSSVM that uses 10-fold cross validation and significantly better performance than regularized AR and Bagging trees. In average, a few thousand sparse coding predictions can be done while the LSSVM is training making the proposed technique suitable for online prediction and highly nonstationary data.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"281 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132424047","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: 8
A highly-effective parallelization of statistical time-consuming tests of Pseudorandom Number Generators using CUDA 使用CUDA的伪随机数生成器的统计耗时测试的高效并行化
2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393009
M. Osama, A. Hussein
{"title":"A highly-effective parallelization of statistical time-consuming tests of Pseudorandom Number Generators using CUDA","authors":"M. Osama, A. Hussein","doi":"10.1109/ICCES.2015.7393009","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393009","url":null,"abstract":"This paper focuses on parallelizing the most time-consuming statistical tests of the pseudorandom number generators for execution on the Graphics Processing Unit using NVIDIA Compute Unified Device Architecture. We propose new efficient parallel strategies for several tests that exhaust most time and hardware resources from a Statistical Test Suite for Random and Pseudorandom Number Generators of the National Institute of Standards and Technology. We show that these tests can benefit from the GPU solutions, leading to substantial improvements in speed-up even though keeping the accuracy of the test results. Our results reveal that the new parallel methods execute up to 200x faster compared to their sequential counterparts of the NIST.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131997465","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
Real-time simulation of applying model predictive control on an industrial evaporation process 模型预测控制应用于工业蒸发过程的实时仿真
2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393016
Ismail M. Fahmy, A. Nassar, K. El-Metwally
{"title":"Real-time simulation of applying model predictive control on an industrial evaporation process","authors":"Ismail M. Fahmy, A. Nassar, K. El-Metwally","doi":"10.1109/ICCES.2015.7393016","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393016","url":null,"abstract":"A wide range of processes in chemical industry are characterized by the existence of nonlinear, multivariable interacting, time delay, and constraints properties. The evaporation process in urea industry is considered one of these processes and represents a challenge for the traditional control strategy. Model predictive control (MPC) is the most efficient advanced process control (APC) and has been extensively used in industry. MPC provides the best solution to improve the control performance for optimum process operation. This paper presents the dynamic modeling, identification and real-time simulation of urea evaporation process control in a fertilizer plant using MPC technology. The results showed a significant improvement of the control performance using MPC compared to the traditional control strategy especially during the plant load variation.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133304627","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: 0
DES algorithm security fortification using Elliptic Curve Cryptography DES算法的椭圆曲线密码安全加固
2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393071
Mohamed A. Seif Eldeen, A. Elkouny, S. Elramly
{"title":"DES algorithm security fortification using Elliptic Curve Cryptography","authors":"Mohamed A. Seif Eldeen, A. Elkouny, S. Elramly","doi":"10.1109/ICCES.2015.7393071","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393071","url":null,"abstract":"The Data Encryption Standard (DES) was a widespread symmetric key block cipher algorithm. It was the most popular used cryptographic scheme. DES's security was a highly contentious and controversial aspect until it became an insecure algorithm in 1999. In this paper, a modification that overcomes the security issue of the DES algorithm is introduced. The enhancement is depending on the art of the Elliptic Curve Cryptography (ECC). The ECC approach is also used to achieve the required key generation and distribution to establish a communication session. Our new ECC-based DES algorithm can be applied to any file format, in this paper it is employed to encrypt and decrypt an image file. Experimental results are carried out with detailed analyses, the results demonstrate that the proposed scheme possesses a very large key space to resist the brute-force attack and it is very immune to statistical attacks. The obtained results show that the ECC-based DES algorithm could be used as a highly secure algorithm.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127638777","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: 11
An efficient scheme for face detection based on contours and feature skin recognition 一种基于轮廓和特征皮肤识别的人脸检测方法
2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393056
M. Heshmat, M. Girgis, W. Abd-Elhafiez, S. Elaw
{"title":"An efficient scheme for face detection based on contours and feature skin recognition","authors":"M. Heshmat, M. Girgis, W. Abd-Elhafiez, S. Elaw","doi":"10.1109/ICCES.2015.7393056","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393056","url":null,"abstract":"Human face detection is very useful in many applications such as communications, automatic access control systems, video browsing, security control, verification of credit cards, identifying criminals and so on. This work provides a simple and efficient technique to detect human faces in still images. The new method based on skin color, contour drawing and feature extraction. The features under consideration are eyes, nose and mouth. The technique used to extract facial features developed based on feature location with respect to face dimensions. The proposed algorithm was tested on various images and its performance was found to be good in most cases. Experimental results show that our method of human face detection achieves very encouraging results with good accuracy, great speed and simple computations.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123722812","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: 5
Graph-based 3D collaborative disparity map estimation technique 基于图形的三维协同视差图估计技术
2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393057
Doaa A. Altantawy, S. Kishk
{"title":"Graph-based 3D collaborative disparity map estimation technique","authors":"Doaa A. Altantawy, S. Kishk","doi":"10.1109/ICCES.2015.7393057","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393057","url":null,"abstract":"In this paper, a new segment-based stereo matching algorithm is proposed (3DFilt_Gc). Adopting a fast and accurate new energy formulation for the stereo problem in the segment domain makes the proposed 3DFilt_Gc a strong candidate with the top ranked stereo matching techniques according to Middlebury benchmark. Firstly, it introduces a 3D collaborative filter with a new self adapting similarity measure for more reliable initial disparity estimates. Secondly, RANSAC with SVD are employed for a robust disparity plane fitting over the most reliable segments. Finally, a refined accurate disparity map is obtained by the proper disparity plane assignment using graph cuts. In addition, robustness in the performance is shown when it is tested against a blur in one of the stereo images (3DFilt_Gc _Blur) as one of the real image conditions.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127589423","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: 0
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