2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)最新文献

Self-adaptive heterogeneous random forest 自适应异质随机森林

2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2014-11-10 DOI: 10.1109/AICCSA.2014.7073259

M. Bader-El-Den

{"title":"Self-adaptive heterogeneous random forest","authors":"M. Bader-El-Den","doi":"10.1109/AICCSA.2014.7073259","DOIUrl":"https://doi.org/10.1109/AICCSA.2014.7073259","url":null,"abstract":"Random Forest RF is an ensemble learning approach that utilises a number of classifiers to contribute though voting to predicting the class label of any unlabelled instances. Parameters such as the size of the forest N and the number of features used at each split M, has significant impact on the performance of the RF especially on instances with very large number of attributes. In a previous work Genetic Algorithms has been used to dynamically optimize the size of RF. This study extends this genetic algorithm approach to further enhance the accuracy of Random Forests by building the forest out of heterogeneous decision trees, heterogeneous here means trees with different M values. The approach is termed as Heterogeneous Genetic Algorithm based Random Forests (HGARF). As Random Forests generates a typical large number of decision trees with randomisation over the feature space when splitting at each node for all the trees, this has motivated the development of a genetic algorithm based optimisation. Typically, HGARF accepts as an input a forest RF→ of N trees, the initial population is randomly generated from RF→ as a number of smaller random forests rfi→ where each one has a number ni ≤ N of trees. This population of forests is then evolved through a number of generations using genetic algorithms. Our extensive experimental study has proved that Random Forests performance could be boosted using the genetic algorithm approach.","PeriodicalId":412749,"journal":{"name":"2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116211662","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

The Internet of Things: The eco-system for sustainable growth 物联网:可持续发展的生态系统

2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2014-11-10 DOI: 10.1109/AICCSA.2014.7073288

E. Benkhelifa, Mohamed Abdel-Maguid, Stanley Ewenike, D. Heatley

引用次数: 21

Simulating the impact of future Internet on multimodal mobility 模拟未来互联网对多模式交通的影响

2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2014-11-10 DOI: 10.1109/AICCSA.2014.7073203

Mahdi Zargayouna, B. Zeddini, G. Scémama, Amine Othman

引用次数: 18

Privacy-aware IoT cloud survivability for future connected home ecosystem 面向未来互联家庭生态系统的隐私感知物联网云生存能力

2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2014-11-10 DOI: 10.1109/AICCSA.2014.7073283

A. Arabo

{"title":"Privacy-aware IoT cloud survivability for future connected home ecosystem","authors":"A. Arabo","doi":"10.1109/AICCSA.2014.7073283","DOIUrl":"https://doi.org/10.1109/AICCSA.2014.7073283","url":null,"abstract":"Cloud services can greatly enhance the capabilities of mobile and smart devices, particularly within the ecosystem of connected home futures. A single device now performs multiple functions: organizing contacts and calendars, playing games, storing sensitive personal and corporate information, and even making phone calls. Mobile devices are currently, largely single-user systems. Despite the fact that a device can be used for various purposes, the dividing line between data and applications applied in differing domains is poorly defined. Extending such complexities to the cloud raises a host of issues relating to data ownership, cloud-centric security modules, data/device centric mobile security solutions, and cloud-centric data management. Device survivability, remote device management, and contextual policy enforcement capabilities can be supported and extended by cloud services. In this paper, our contribution is threefold: firstly, we examine the issues related to mobile/smart devices and cloud services, and present a context-based, dynamic cloud security framework appropriate for connected home ecosystem futures. Secondly, we outline the key requirements for a cloud infrastructure. We outline mechanisms to handle device survivability and continuity in terms of remote back-up, remote wipe and dynamic context-aware cloud-centric smart device solutions. Thirdly, the paper also summarised some of the security threats and presents a design for a dynamic secure cloud resilience framework. The framework supports the issues of continuity, resilience and survivability of data on smart devices.","PeriodicalId":412749,"journal":{"name":"2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125738916","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

Automatic identification Genre of audiovisual documents 自动识别音像文件的类型

2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2014-11-01 DOI: 10.1109/AICCSA.2014.7073235

M. Fourati, A. Jedidi, F. Gargouri

引用次数: 3

Improve Web Service discovery: Goal-based approach 改进Web服务发现:基于目标的方法

2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2014-11-01 DOI: 10.1109/AICCSA.2014.7073175

H. E. Bouhissi, M. Malki, Mohamed Amine Sidi Ali Cherif

引用次数: 1

Robot localization using extended kalman filter with infrared sensor 基于红外传感器的扩展卡尔曼滤波机器人定位

2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2014-11-01 DOI: 10.1109/AICCSA.2014.7073220

M. Faisal, R. Hedjar, M. Alsulaiman, K. Mutib, H. Mathkour

引用次数: 15

Efficient information retrieval using Lucene, LIndex and HIndex in Hadoop 在Hadoop中使用Lucene, LIndex和HIndex进行高效的信息检索

2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2014-11-01 DOI: 10.1109/AICCSA.2014.7073217

Anita Brigit Mathew, P. Pattnaik, S. D. M. Kumar

{"title":"Efficient information retrieval using Lucene, LIndex and HIndex in Hadoop","authors":"Anita Brigit Mathew, P. Pattnaik, S. D. M. Kumar","doi":"10.1109/AICCSA.2014.7073217","DOIUrl":"https://doi.org/10.1109/AICCSA.2014.7073217","url":null,"abstract":"The growth of unstructured and partially-structured data in biological networks, social media, geographical information and other web-based applications present an open challenge to the cloud database community. Hence, the approach to exhaustive BigData analysis that integrates structured and unstructured data processing have become increasingly critical in today's world. MapReduce, has recently emerged as a popular framework for extensive data analytics. Use of powerful indexing techniques would allow users to significantly speed up query processing among MapReduce jobs. Currently, there are a number of indexing techniques like Hadoop++, HAIL, LIAH, Adaptive Indexing etc., but none of them provide an optimized technique for text based selection operations. This paper proposes two indexing approaches in HDFS, namely LIndex and HIndex. These indexing approaches are found to carefully perform selection operation better compared to existing Lucene index approach. A fast retrieval technique is suggested in the MapReduce framework with the new LIndex and HIndex approaches. LIndex provides a complete-text index and it informs the Hadoop implementation engine to scan only those data blocks which contain the terms of interest. LIndex also enhances the throughput (minimizes response time) and overcome some of the drawbacks like upfront cost and long idle time for index creation. This gave a better performance than Lucene but lacked in response and computation time. Hence a new index named HIndex is suggested. This scheme is found to perform better than LIndex in response and computation time.","PeriodicalId":412749,"journal":{"name":"2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114208997","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

A global and comprehensive approach for XML data warehouse design 一种用于XML数据仓库设计的全局综合方法

2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2014-11-01 DOI: 10.1109/AICCSA.2014.7073251

Zoubir Ouaret, Omar Boussaïd, R. Chalal

{"title":"A global and comprehensive approach for XML data warehouse design","authors":"Zoubir Ouaret, Omar Boussaïd, R. Chalal","doi":"10.1109/AICCSA.2014.7073251","DOIUrl":"https://doi.org/10.1109/AICCSA.2014.7073251","url":null,"abstract":"The increasing amounts of interesting data stored in the XML format is the most challenging issue for BI community, thus it is desirable to successfully extract, store and integrate this large sources of information special purpose systems called “data warehouse” for further analysis and decision-making. However, compared with the well structured relational databases of a company, XML data presents a complex hierarchical structure, which renders inappropriate, existing traditional data warehouse approaches and techniques. In this paper, we propose a semi-automatic approach for XML data warehouse design starting from XML schemas as data sources. The first step consists in automatically generating the UML Class diagram from W3C XML Schema (XSD). However, the obtained diagram can be very large and hard to understand. To overcome this situation, we use a set of rules based on basic techniques for object oriented design quality to develop a simplification algorithm that efficiently generates high-quality diagrams with limited number of classes. Then, we propose a multi-dimensional (MD) element extraction algorithm to automatically identify facts, measures and their corresponding dimensions. We also present a new metric for ranking obtained MD schemas according to their relevance. The final step consists in automatically generating the star XML schema that corresponds to the XML Data warehouse schema. Finally, we have implemented our approach using JAVA and we have evaluated this tool on several XML schemas.","PeriodicalId":412749,"journal":{"name":"2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128044436","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

Energy efficient mobile relay selection for two-hop wireless networks 两跳无线网络的节能移动中继选择

2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2014-11-01 DOI: 10.1109/AICCSA.2014.7073277

Imran Ahmed, M. Butt, Amr M. Mohamed

引用次数: 3