2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)最新文献

Semantic organization and verification of Web services for processing sensor data 用于处理传感器数据的Web服务的语义组织和验证

2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA) Pub Date : 2017-12-04 DOI: 10.1109/CIAPP.2017.8167055

Haiyuan Wang, Jiajin Huang, Yahan Zhang, Zhisheng Huang, N. Zhong

引用次数: 0

An introduction to question answering with ConceptRDF 使用ConceptRDF进行问答的介绍

2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA) Pub Date : 2017-12-04 DOI: 10.1109/CIAPP.2017.8167275

Hua Chen, Antoine Trouvé, K. Murakami, Akira Fukuda

引用次数: 1

Detection and classification of pilots cognitive state using EEG 基于脑电图的飞行员认知状态检测与分类

2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA) Pub Date : 2017-09-01 DOI: 10.1109/CIAPP.2017.8167249

Q. Khan, Ali Hassan, Saad Rehman, F. Riaz

{"title":"Detection and classification of pilots cognitive state using EEG","authors":"Q. Khan, Ali Hassan, Saad Rehman, F. Riaz","doi":"10.1109/CIAPP.2017.8167249","DOIUrl":"https://doi.org/10.1109/CIAPP.2017.8167249","url":null,"abstract":"Electroencephalogram (EEG) data is a set of brain signals recorded by special EEG headsets. These signals reflect the cortical electrical activity. The technique for utilization of EEG data has emerged to be a safe and portable non-invasive Brain Computer Interface (BCI) that can easily be used for studying the human cognitive states. In this paper we have focused on studying the pilot's cortical potentials in simulated flight environment in order to classify his mental state into three categories i.e. rest mode, navigation flying mode, and dogfight mode. 14 channel Emotiv EEG headset was used by the subjects while playing a fighter aircraft game which could simulate all the required scenarios. The subject was screened in a dark room with huge projector screen along with audio stimuli. Several sessions of EEG data were recorded and feature extraction was carried out. Random Forest Tree classification algorithm proved to produce the best results. The pilot's cognitive state was classified according to the labeled recordings by taking one second of data each time and classifying it. As a result 81.7 % accuracy was achieved. The decent accuracy of results prove that real time pilot cognitive state can be decoded effectively, and if transmitted live onto the ground command and control room, it can be utilized for ensuring pilots safety as well as for training and monitoring of pilots on-board activities.","PeriodicalId":187056,"journal":{"name":"2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117120640","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

Simulation optimization approach for solving stochastic programming 求解随机规划的仿真优化方法

2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA) Pub Date : 2017-09-01 DOI: 10.1109/CIAPP.2017.8167200

Amany M. Akl, R. Sarker, D. Essam

引用次数: 1

Artificial bee colony algorithm-based multiple-source localization method for wireless sensor network 基于人工蜂群算法的无线传感器网络多源定位方法

2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA) Pub Date : 2017-09-01 DOI: 10.1109/CIAPP.2017.8167257

Long Cheng, Lu Qu, Yu-wei Xu

引用次数: 5

Deadline constrained load balancing level based workflow scheduling for cost optimization 基于期限约束负载均衡水平的成本优化工作流调度

2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA) Pub Date : 2017-09-01 DOI: 10.1109/CIAPP.2017.8167191

Sobhan Omranian-Khorasani, Mahmoud Naghibzadeh

{"title":"Deadline constrained load balancing level based workflow scheduling for cost optimization","authors":"Sobhan Omranian-Khorasani, Mahmoud Naghibzadeh","doi":"10.1109/CIAPP.2017.8167191","DOIUrl":"https://doi.org/10.1109/CIAPP.2017.8167191","url":null,"abstract":"The advent of Cloud computing has provided a promising methodology for usage of distributed resources for complex scientific workflow applications. Due to the unique features of cloud technology, such as the pay-as-you-go pricing model and scaling, efficient workflow scheduling is a critical research topic. While most workflow scheduling algorithms are proposed to minimize the overall execution time, cost-driven public cloud services have made cost minimization an emerging and critical issue. Therefore, the objective of this work is to solve the cost optimization problem for scheduling workflows on a commercial Cloud while considering a user-defined deadline constraint. In this paper, a heuristic algorithm for scheduling deadline-constrained workflows is presented — Deadline Constrained Level Based (DCLB)-which uses Level Load Balancing to refine deadline distribution as well as attaining lower communication cost in order to reach the algorithm's goals. Experimental results demonstrate that DCLB compared to existing algorithms, achieves higher cost efficiencies when workflow deadline is met.","PeriodicalId":187056,"journal":{"name":"2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114404231","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

Research on performance evaluation method of communication radio network based on Qos performance 基于Qos性能的通信无线网络性能评价方法研究

2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA) Pub Date : 2017-09-01 DOI: 10.1109/CIAPP.2017.8167259

Yu Peng, Qiu Bingyi, Yuan Shiji, Sun Huihui

引用次数: 1

Dynamic scenario-based solution approach for scheduling solar-thermal generators 基于动态场景的太阳能热发电机组调度方法

2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA) Pub Date : 2017-09-01 DOI: 10.1109/CIAPP.2017.8167266

Forhad Zaman, R. Sarker, Guijuan Chang

{"title":"Dynamic scenario-based solution approach for scheduling solar-thermal generators","authors":"Forhad Zaman, R. Sarker, Guijuan Chang","doi":"10.1109/CIAPP.2017.8167266","DOIUrl":"https://doi.org/10.1109/CIAPP.2017.8167266","url":null,"abstract":"The economic and efficient scheduling of electrical generators is a complex optimization problem. The problem becomes even more complex when the uncertain solar sources are considered. Over the last decade, different scenario-based solution approaches have been developed for this problem in which the uncertain solar productions are represented as random scenarios. Although this approach is beneficial for a day-ahead scheduling, the selection of an appropriate number of scenarios is very challenging. A large number of scenarios is required to obtain a stable solution, but it takes longer computational time to solve. In this paper, a dynamic scenariobased optimization model is developed in which the number of scenarios is dynamically set during the process of evaluations. The optimization model is solved using a differential evolution in which the control parameters are self-adaptively adjusted for better performance. A 19-unit solar thermal problem for a 24-hour time horizon is taken from the literature and solved using the proposed and conventional approaches. The obtained results are analyzed that shows that the proposed approach has some merits in terms of computational efficiency and solution stability.","PeriodicalId":187056,"journal":{"name":"2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129560950","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

Acquisition and clustering for affective semantic lexicon from web 网络情感语义词汇的获取与聚类

2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA) Pub Date : 2017-09-01 DOI: 10.1109/CIAPP.2017.8167218

Fang Tian, X. Sun, Benwang Sun

引用次数: 0

Ontology driven machine learning approach for disease name extraction from Twitter messages 基于本体驱动的机器学习方法从Twitter消息中提取疾病名称

2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA) Pub Date : 2017-09-01 DOI: 10.1109/CIAPP.2017.8167182

M. Magumba, Peter Nabende, Ernest Mwebaze

引用次数: 4