2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology最新文献_第5页

A Study on Radio Interference Estimation Method for Wireless Relay Network Link Scheduling 无线中继网络链路调度中无线电干扰估计方法研究

2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology Pub Date : 2014-03-12 DOI: 10.1109/ICAIET.2014.55

Y. Taniguchi

引用次数: 1

Present & Future Paradigms of Cyber Crime & Security Majors - Growth & Rising Trends 网络犯罪与安全专业的现状与未来——增长与上升趋势

2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology Pub Date : 2014-03-12 DOI: 10.1109/ICAIET.2014.24

Vinit Kumar Gunjan, Amit Kumar, A. A. Rao

引用次数: 4

Microsourcing Job Provider Maturity Model 微外包工作提供者成熟度模型

2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology Pub Date : 2014-03-12 DOI: 10.1109/ICAIET.2014.45

Norjansalika Janom, Normazalila Abu Bakar, N. Arshad, S. S. Salleh, Syaripah Ruzaini Syed Aris, N. Mastuki

{"title":"Microsourcing Job Provider Maturity Model","authors":"Norjansalika Janom, Normazalila Abu Bakar, N. Arshad, S. S. Salleh, Syaripah Ruzaini Syed Aris, N. Mastuki","doi":"10.1109/ICAIET.2014.45","DOIUrl":"https://doi.org/10.1109/ICAIET.2014.45","url":null,"abstract":"Microsourcing is an emerging outsourcing practice by organization to an undefined (and generally large) network of people in a form of an open call. It is considered as a new entrepreneurial evolution in digital economy value creation. Because of the challenges and competition faces by organization nowadays, organization approved the need to provide services with higher added value and less cost. One way to achieve that is using microsourcing to accomplish tedious tasks at faster rate. However in Malaysia, the concept is fairly new and still in a formative stage. Due to that, organization's awareness, interest and willingness to participate in microsourcing initiatives need to be investigated and evaluated. This research is aim to produce the multiperspectives micro sourcing maturity integration model that able to assess the maturity level of organization to participate in microsourcing initiative. In this study, the characteristics of viable microsourcing maturity model and the significance factors contributing to implementation success have been identified. The analysis and results can be used as a road map to prepare an action plan for a successful microsourcing implementation in Malaysia.","PeriodicalId":225159,"journal":{"name":"2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123843844","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

Crowdsourcing: The Trend of Prior Studies 众包:前人研究的趋势

2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology Pub Date : 2014-03-12 DOI: 10.1109/ICAIET.2014.30

Zazaleena Zakariah, Norjansalika Janom, N. Arshad, S. S. Salleh, Syaripah Ruzaini Syed Aris

引用次数: 8

Orphan Defects: Chance Finding? 孤儿缺陷:偶然发现?

2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology Pub Date : 2014-03-12 DOI: 10.1109/ICAIET.2014.22

D. S. S. Prasad, S. Kanakadandi

引用次数: 0

Vehicle Tracking Using Particle Filter for Parking Management System 基于粒子滤波的停车管理系统车辆跟踪

2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology Pub Date : 2014-03-12 DOI: 10.1109/ICAIET.2014.40

K. Teo, R. Chin, N. K. Rao, F. Wong, W. L. Khong

{"title":"Vehicle Tracking Using Particle Filter for Parking Management System","authors":"K. Teo, R. Chin, N. K. Rao, F. Wong, W. L. Khong","doi":"10.1109/ICAIET.2014.40","DOIUrl":"https://doi.org/10.1109/ICAIET.2014.40","url":null,"abstract":"Increment of on-road vehicles has urged public venues to provide visitors with a larger area of parking space. As the parking area grew larger for example in a hyper mall, a well-organized parking management system is necessary to assist drivers in locating parking position. Besides, it can also help the management team to monitor vehicle flow in the parking lot. Vehicle tracking plays an important role to the parking management system, as accurate tracking result will lead to a more efficient management system. Among commercially available sensors, video sensor has been commonly deployed in the parking area due to its ability in obtaining a wide range of vehicle information. However, images captured using video sensors are limited under situations where vehicles are undergoing occlusion and maneuvering incidents. This will cause tracking error therefore affecting the performance of the parking management system. Particle filter has been proven as one of the promising techniques to track vehicle under disturbances. Therefore, particle filter is proposed to track vehicle under occlusion and maneuvering incidents in this study. Experimental results show that the particle filter is able to track a target vehicle under different disturbances.","PeriodicalId":225159,"journal":{"name":"2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114633890","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

The Design and Compilation of a Facial Spoof Database on Various Textures 基于不同纹理的人脸欺骗数据库的设计与编译

2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology Pub Date : 2014-03-12 DOI: 10.1109/ICAIET.2014.38

S. Parveen, S. M. S. Ahmad, M. Hanafi, W. Adnan

引用次数: 3

Utilization of Genetic Algorithm for Optimal EEG Channel Selection in Brain-Computer Interface Application 遗传算法在脑机接口中的应用

2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology Pub Date : 2014-03-12 DOI: 10.1109/ICAIET.2014.25

I. H. Hasan, A. Ramli, S. A. Ahmad

{"title":"Utilization of Genetic Algorithm for Optimal EEG Channel Selection in Brain-Computer Interface Application","authors":"I. H. Hasan, A. Ramli, S. A. Ahmad","doi":"10.1109/ICAIET.2014.25","DOIUrl":"https://doi.org/10.1109/ICAIET.2014.25","url":null,"abstract":"Brain-Computer Interface (BCI) research has provoked an enormous interest among researchers from different fields since it is an important element in assistive technology. The most popular approach is a non-invasive method, using Electroencephalogram (EEG) analysis which acquires signals from 32 to 64 electrodes' recordings and translate them to a movement using various computing algorithm which can be used in wheelchair navigation, or control robot movements. However, it will be time consuming and an exhausting experience if the single command translation from large number of electrodes is used. The aim of this project is to develop an algorithm that can choose optimal four electrodes for signal recording, and convert one thought into multiple commands with the chosen electrodes. Using sample datasets, the EEG signal is analyzed to determine the most suitable scalp area for P300 detection, while optimization with genetic algorithm (GA) is developed to select best four channels. After 30 GA runs, the optimal four sets of electrodes are chosen based on their coefficient of determination or r2 values, where higher values contributes to higher repetition rates. Using signals from the chosen four electrodes, a success rate of 75-80% is received.","PeriodicalId":225159,"journal":{"name":"2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131791041","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