2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA)最新文献_第10页

A fedearted E-learning cloud system based on mixed reality 基于混合现实的远程学习云系统

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA) Pub Date : 2016-11-01 DOI: 10.1109/AICCSA.2016.7945820

F. Essa, K. Jambi, A. Fattouh, Hassanin M. Al-Barhamtoshy, Maher Khemakhem, A. Al-Ghamdi

{"title":"A fedearted E-learning cloud system based on mixed reality","authors":"F. Essa, K. Jambi, A. Fattouh, Hassanin M. Al-Barhamtoshy, Maher Khemakhem, A. Al-Ghamdi","doi":"10.1109/AICCSA.2016.7945820","DOIUrl":"https://doi.org/10.1109/AICCSA.2016.7945820","url":null,"abstract":"The continuous evolution of new technologies and devices encourage researchers and specialists, in learning and E-learning domain, to take advantage of them in order to enhance learning and E-learning tasks. Due to its flexibility and some other benefits compared to the conventional learning, E-learning gained a lot from the field of learning and training. Cloud computing presents today a very important low-cost infrastructure which can respond to all kinds of software and hardware user needs. In this paper, we propose a federated E-learning cloud system capable of enhancing, substantially, the quality of E-learning by using the mixed reality technology. Actually, our system is intended to be used by any learner including those having some special needs (talent and smart peoples). One of the attractive sides of the proposed system is its capability to use existing courses and learning objects provided on the Internet in order to deliver them to the end-user in a customized manner. The proposed system is intended to be built on a federated cloud infrastructure as a set of ubiquitous services that can be accessed by any user.","PeriodicalId":448329,"journal":{"name":"2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA)","volume":"30 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":"127838725","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

A new approach of action recognition based on Motion Stable Shape (MSS) features 一种基于运动稳定形状特征的动作识别新方法

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA) Pub Date : 2016-11-01 DOI: 10.1109/AICCSA.2016.7945652

I. Lassoued, E. Zagrouba, Y. Chahir

{"title":"A new approach of action recognition based on Motion Stable Shape (MSS) features","authors":"I. Lassoued, E. Zagrouba, Y. Chahir","doi":"10.1109/AICCSA.2016.7945652","DOIUrl":"https://doi.org/10.1109/AICCSA.2016.7945652","url":null,"abstract":"Action recognition is actually considered as one of the most challenging areas in computer vision domain. In this paper, we propose a new approach based on utilization of motion boundaries to generate Motion Stable Shape (MSS) features to describe human actions in videos. In fact, we have considered actions as a set of human poses. Temporal evolution of each human pose is modeled by a set of new MSS feature's. Motion stable shapes of considered poses are defined by specific regions located at the borders of movements. Our modelisation is composed of different steps. First, a volume of optical flow frames highlighting the principal motions in poses is substracted. Then, motion boundaries are computed from the previous optical flow frames. Finally, maximally Stable Extremal Regions (MSER) are applied to motion boundaries frames in order to obtain MSS features. To predict classes of different human actions, the MSS features are combined with a standard bag-of-words representation. To prove the efficiency of our developed model, we have performed a set of experiments on four datasets: Weizmann, KTH, UFC and Hollywood. Obtained experimental results show that the proposed approach significantly outperforms state-of-the-art methods.","PeriodicalId":448329,"journal":{"name":"2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA)","volume":"29 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":"115183751","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

Privacy risk assessment and users' awareness for mobile apps permissions 隐私风险评估及用户对移动应用权限的认知

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA) Pub Date : 2016-11-01 DOI: 10.1109/AICCSA.2016.7945694

Asma Hamed, Hella Kaffel Ben Ayed

引用次数: 13

Prediction of Amazon spot price based on chaos theory using ANFIS model 基于混沌理论的亚马逊现货价格ANFIS模型预测

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA) Pub Date : 2016-11-01 DOI: 10.1109/AICCSA.2016.7945632

Zohra Amekraz, M. Youssef

{"title":"Prediction of Amazon spot price based on chaos theory using ANFIS model","authors":"Zohra Amekraz, M. Youssef","doi":"10.1109/AICCSA.2016.7945632","DOIUrl":"https://doi.org/10.1109/AICCSA.2016.7945632","url":null,"abstract":"Spot Instance Market is the most recent advancement in cloud computing business models. It is introduced by Amazon's Elastic Compute Cloud (Amazon EC2) in order to utilize its idle resources more efficiently. The main characteristic of spot instance is its dynamic pricing. The hourly price for a spot instance fluctuates depending on the supply and demand for cloud resources. Users across the globe can bid for a spot instance using an online auction platform. The auction platform determines the current market price, a.k.a. “Spot price” and the users whose bids are above the spot price obtain the instance. Amazon publicizes current spot price but does not disclose how it is determined. The major challenge for the users in this new business model is to predict the spot price before bidding. In this paper, we propose a new spot price forecasting model based on chaos theory. The proposed method makes use of chaos time series analysis to verify the chaotic feature of Amazon spot price and to perform a prediction using Adaptive Neural Fuzzy Inference System (ANFIS). We perform extensive simulation experiments using real spot price traces and show that the proposed method can be a bright merit to predict Amazon spot price.","PeriodicalId":448329,"journal":{"name":"2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA)","volume":"11 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":"115307765","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: 6

A fire color mapping-based segmentation: Fire pixel segmentation approach 一种基于火种颜色映射的分割方法:火种像素分割方法

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA) Pub Date : 2016-11-01 DOI: 10.1109/AICCSA.2016.7945741

Bruno Miguel Nogueira de Souza, J. Facon

引用次数: 4

A new method for ranking association rules with multiple criteria based on dominance relation 基于优势关系的多准则关联规则排序新方法

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA) Pub Date : 2016-11-01 DOI: 10.1109/AICCSA.2016.7945619

A. Dahbi, S. Jabri, Y. Balouki, T. Gadi

引用次数: 5

Evaluation of 3D mesh segmentation using a weighted version of the Ochiai index 使用Ochiai指数的加权版本评估三维网格分割

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA) Pub Date : 2016-11-01 DOI: 10.1109/AICCSA.2016.7945640

Mohcine Bouksim, F. R. Zakani, K. Arhid, T. Gadi, M. Aboulfatah

引用次数: 3

DIN: An efficient algorithm for detecting influential nodes in social graphs using network structure and attributes DIN:一种利用网络结构和属性检测社交图中有影响力节点的有效算法

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA) Pub Date : 2016-11-01 DOI: 10.1109/AICCSA.2016.7945698

Myriam Jaouadi, L. Romdhane

引用次数: 9

Parallel genetic algorithm for the uncapacited single allocation hub location problem on GPU GPU上无容单分配集线器定位问题的并行遗传算法

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA) Pub Date : 2016-11-01 DOI: 10.1109/AICCSA.2016.7945636

A. Benaini, Achraf Berrajaa, J. Boukachour, M. Oudani

引用次数: 1

Toward an optimal B-spline wavelet transform for image compression 一种用于图像压缩的最佳b样条小波变换

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA) Pub Date : 2016-11-01 DOI: 10.1109/AICCSA.2016.7945738

Rania Boujelbene, Y. Jemaa, M. Zribi

引用次数: 7