2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA)最新文献

Foreword — Message from the general chairs 前言-各位主席的讲话

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA) Pub Date : 2017-06-09 DOI: 10.1109/AICCSA.2016.7945613

C. Guegan, S. Hariri

{"title":"Foreword — Message from the general chairs","authors":"C. Guegan, S. Hariri","doi":"10.1109/AICCSA.2016.7945613","DOIUrl":"https://doi.org/10.1109/AICCSA.2016.7945613","url":null,"abstract":"AICCSA 2016 Conference, in collaboration with IEEE, continues its mission of covering all contemporary areas in computer systems and applications, and providing the latest results on theory, design, analysis, implementation, and application in these important and rapidly changing disciplines. Indeed, this edition addresses eleven areas and the technical program presents high-quality papers in: (1) IR, Big Data, Business Intelligence, & Knowledge Management; (2) Cloud, Parallel, Distributed, and High Performance Computing; (3) Multimedia, Computer Vision, and Image Processing; (4) Advances in Software Engineering; (5) Natural Language Processing and Applications; (6) Advances in AI, Agent Systems, and Ambient Intelligence; (7) Advances Networking and Sensor Networks; (8) Systems and Software Security; (9) Social and Mobile Computing; (10) Advances in Web Technologies, Semantics, and Future Internet; (11) Digital Living, including E-Learning, E-Government, E-Health. The breadth of the prominence of approaches in these areas is underlined by the topics of the four distinguished keynote speakers: Ahmed Elmagarmid and Jim Jansen, the Executive Director and senior research of Qatar Computing Research Institute (QCRI) respectively; Athman Bouguettaya, professor and the head of School of Computer Science and Information Technology at RMIT University; and Abdella Battou, the Division Chief of the Advanced Network Technologies Division, within The Information Technology Lab at National Institute of Standards and Technology (NIST).","PeriodicalId":448329,"journal":{"name":"2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA)","volume":"53 5-6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114033729","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

Machine perception in gender recognition using RGB-D sensors RGB-D传感器在性别识别中的机器感知

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA) Pub Date : 2016-11-01 DOI: 10.1109/AICCSA.2016.7945650

Safaa Azzakhnini, Lahoucine Ballihi, D. Aboutajdine

{"title":"Machine perception in gender recognition using RGB-D sensors","authors":"Safaa Azzakhnini, Lahoucine Ballihi, D. Aboutajdine","doi":"10.1109/AICCSA.2016.7945650","DOIUrl":"https://doi.org/10.1109/AICCSA.2016.7945650","url":null,"abstract":"Automatic gender recognition, from face images, plays an important role in various biometric applications. This task has attracted the interest of not only computer vision researchers, but also of many psychologists. Inspired by the psychological results for human gender perception. There are two main purposes for this work. First; it aims at finding out which facial parts are most effective at making the difference between men and women. Second; it tries to combine the decisions of these parts using a voting system to improve the recognition quality. Recently, with the appearance of depth sensing technology; especially the low cost devices such as the Microsoft kinect; high quality images containing color and depth information can easily be acquired. This gives us the opportunity to combine depth information with standard vision systems in order to offer a better recognition quality. In this paper, we propose an approach for classifying gender using RGB-D data based on the separation of facial parts. The experimental results show that the proposed approach improves the recognition accuracy for gender classification.","PeriodicalId":448329,"journal":{"name":"2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA)","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115509229","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

Real-time scheduling of sporadic tasks in energy harvesting distributed reconfigurable embedded systems 能量采集分布式可重构嵌入式系统中零星任务的实时调度

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA) Pub Date : 2016-11-01 DOI: 10.1109/AICCSA.2016.7945682

Wiem Housseyni, O. Mosbahi, M. Khalgui, M. Chetto

引用次数: 6

A scalable maximum-clique algorithm using Apache Spark 一个可扩展的最大团算法使用Apache Spark

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA) Pub Date : 2016-11-01 DOI: 10.1109/AICCSA.2016.7945631

Amr Elmasry, Ayman Khalafallah, Moustafa Meshry

{"title":"A scalable maximum-clique algorithm using Apache Spark","authors":"Amr Elmasry, Ayman Khalafallah, Moustafa Meshry","doi":"10.1109/AICCSA.2016.7945631","DOIUrl":"https://doi.org/10.1109/AICCSA.2016.7945631","url":null,"abstract":"In this paper, we propose a scalable algorithm for finding the exact solution to the maximum-clique problem. At the heart of our approach lies a multi-phase partitioning strategy, which enables iterative, in-memory processing of graphs. The multi-phase partitioning is tuned for the resources of the machine/cluster to get the best performance. To promote parallelization and scalability on both a cluster-level (distributing the problem on a number of machines) and on a machine-level (using all available cores on each machine), we use Apache Spark. We explore the untraditional usage of distributed frameworks, such as Apache Spark, to distribute computational load, as opposed to distributing big data. We focus on dense graphs, typically with thousands of vertices and a few millions edges; this is in contrast to sparse real-world graphs that don't initially fit into the memory of a single driver machine. Our experiments show that, for large dense graphs, we get up to 100% performance speedup compared to the state-of-the-art parallel approaches. Moreover, our algorithm is highly scalable and fault-tolerant.","PeriodicalId":448329,"journal":{"name":"2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129947890","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

Data warehousing design: Automatic verification of conformity and summarizability constraints 数据仓库设计:自动验证一致性和可总结性约束

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA) Pub Date : 2016-11-01 DOI: 10.1109/AICCSA.2016.7945819

Ali Salem, H. Ben-Abdallah

引用次数: 0

A multilevel thresholding algorithm for image segmentation based on particle swarm optimization 一种基于粒子群优化的多级阈值图像分割算法

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA) Pub Date : 2016-11-01 DOI: 10.1109/AICCSA.2016.7945752

Molka Dhieb, M. Frikha

引用次数: 9

Event traffic detection using heterogenous wireless sensors network 异构无线传感器网络的事件流量检测

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA) Pub Date : 2016-11-01 DOI: 10.1109/AICCSA.2016.7945825

Fadoua Nejjari, Laila Benhlima, Slimane Bah

引用次数: 3

GPU implementation of multi-scale Retinex image enhancement algorithm GPU实现的多尺度Retinex图像增强算法

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA) Pub Date : 2016-11-01 DOI: 10.1109/AICCSA.2016.7945715

Hui Li, Weihao Xie, Xingang Wang, Shousheng Liu, Y. Gai, Lei Yang

{"title":"GPU implementation of multi-scale Retinex image enhancement algorithm","authors":"Hui Li, Weihao Xie, Xingang Wang, Shousheng Liu, Y. Gai, Lei Yang","doi":"10.1109/AICCSA.2016.7945715","DOIUrl":"https://doi.org/10.1109/AICCSA.2016.7945715","url":null,"abstract":"Multi-scale Retinex algorithm is an image enhancement algorithm that aims at image reconstruction. The algorithm maintains the high fidelity and the dynamic range compression of the image, so the enhancement effect is obvious. The algorithm exploits a large number of convolution operations to achieve dynamic range compression and color/brightness rendition, and the calculation time increased significantly with the increase of the image resolution. In order to improve the real-time performance of the algorithm, a multi-scale Retinex image enhancement algorithm based on GPU CUDA is proposed in this paper. Through the data mining and parallel analysis of the algorithm, time-consuming modules of the calculation, such as Gauss filter, convolution, logarithm difference, are implemented in GPU by exploiting the massively parallel threading and heterogeneous memory hierarchy of GPGPU to improve efficiency. The experimental results show that the algorithm can improve the computing speed significantly in NVIDIA Tesla K20 and CUDA7.5, and with the increase of image resolution, the maximum speedup can reach 202 times.","PeriodicalId":448329,"journal":{"name":"2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129863997","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: 9

Efficient inverted index with n-gram sampling for string matching in Arabic documents 在阿拉伯语文档中使用n-gram采样进行字符串匹配的高效倒排索引

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA) Pub Date : 2016-11-01 DOI: 10.1109/AICCSA.2016.7945743

El Moatez Billah Nagoudi, A. Khorsi, H. Cherroun

{"title":"Efficient inverted index with n-gram sampling for string matching in Arabic documents","authors":"El Moatez Billah Nagoudi, A. Khorsi, H. Cherroun","doi":"10.1109/AICCSA.2016.7945743","DOIUrl":"https://doi.org/10.1109/AICCSA.2016.7945743","url":null,"abstract":"Text search is the basis of countless applications and techniques. It is constrained by space and time resource limitations inherent in different contexts and scenarios. A common approach to minimize the cost of the general search task is to start by the characteristics which are particular to the targeted entity. In this paper, we propose an approximative index-based text searching algorithm that performances can be customized respect to both time/memory user constraints. The main idea is to exploit the uneven distribution of frequencies of letters and n-grams in natural language text, to reduce the index size and the search time, where we store only the less frequent letters and n-grams. Moreover, our technique can also provide to the user the flexibility to choose the tradeoff between index size and query performance. Search time and the index size can be balanced by varying three parameters in our approach. This makes our approach flexible to different settings. The tests described in this paper are driven on an Arabic collection of more than 450 documents and more than 20 million words. Experimental results show that the size of our n-gram inverted index is reduced by up to 40%–85% (with tolerable performance penalties) compared with those of the full n-gram inverted index. Generalization to other languages should be straightforward as long as the underlying statistical property applies.","PeriodicalId":448329,"journal":{"name":"2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130532700","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

Hand pose estimation system based on Viola-Jones algorithm for Android devices 基于Viola-Jones算法的Android手部姿态估计系统

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA) Pub Date : 2016-11-01 DOI: 10.1109/AICCSA.2016.7945717

Houssem Lahiani, M. Kherallah, M. Neji

引用次数: 13