2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)最新文献

Traffic Vehicular Network Modelling for VANET Inter-Vehicle Data Scavenging 基于VANET车辆间数据清除的交通车辆网络建模

2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2018-11-01 DOI: 10.1109/IICAIET.2018.8638467

Kit Guan Lim, M. K. Tan, R. Chin, K. Yeo, K. Teo

{"title":"Traffic Vehicular Network Modelling for VANET Inter-Vehicle Data Scavenging","authors":"Kit Guan Lim, M. K. Tan, R. Chin, K. Yeo, K. Teo","doi":"10.1109/IICAIET.2018.8638467","DOIUrl":"https://doi.org/10.1109/IICAIET.2018.8638467","url":null,"abstract":"The increases of road vehicles also causes a higher chances of car accidents happened and more severe traffic congestion. Many researches have been done to relieve such situation including altering with traffic signal timing plan, either in single intersection or in multi-agent system. Another research area will be the wireless communication in vehicular network. In this study, the focus will be on modelling a vehicular ad hoc network (VANET) for data scavenging. Traffic Control Interface for MATLAB (TraCI4Matlab) is implemented to allow communication among Simulation of Urban Mobility (SUMO) and MATLAB, so that to achieve a vehicular network platform. SUMO is used to generate vehicles trace which will be used as data for later protocol assessment in MATLAB. Results from this study showed some of the features in TraCI4Matlab. Using the traffic control interface commands, properties of vehicles such as position, speed, acceleration, vehicle length, vehicle color, etc. can be retrieved into MATLAB. With the details obtained, routing protocol can be computed and assessed through the vehicular network platform.","PeriodicalId":308127,"journal":{"name":"2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127879249","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: 7

Enhancing Fuzzy Logic MPPT Controller with Metaheuristic Mechanism in Photovoltaic System 用元启发式机制增强光伏系统模糊逻辑MPPT控制器

2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2018-11-01 DOI: 10.1109/IICAIET.2018.8638447

M. K. Tan, R. He, Qiwen Liu, Min Yang, K. Teo

{"title":"Enhancing Fuzzy Logic MPPT Controller with Metaheuristic Mechanism in Photovoltaic System","authors":"M. K. Tan, R. He, Qiwen Liu, Min Yang, K. Teo","doi":"10.1109/IICAIET.2018.8638447","DOIUrl":"https://doi.org/10.1109/IICAIET.2018.8638447","url":null,"abstract":"The conventional fuzzy logic is a deterministic algorithm which means that it wm always give the same output when given a particular input. Due to this inherent characteristic, the conventional fuzzy logic might be trapped at local optimum when dealing with a global optimization problem that consists of several maximum points. As such, this paper aims to explore the potential of improving the fuzzy logic by integrating a greedy or metaheuristic mechanism into it. With the greedy mechanism, the improved fuzzy logic or known as greedy fuzzy logic is given a probabmty to have a random search for the optimum solution without following the deterministic computation. This mechanism is introduced to prevent the proposed algorithm to be trapped at the local optimum point. The robustness of the proposed algorithm is tested in optimizing a $5times5$ photovoltaic (PV) array because the PV array wm exhibit multiple peaks when muminated under a non-uniform irradiance. The existence of multiple peaks wm lead to additional difficulties for the conventional maximum power point tracking (MPPT) algorithm in tracking the global maximum power point (MPP) or known as global optimum point. The simulation results show the proposed fuzzy logic with greedy mechanism is able to track the global MPP.","PeriodicalId":308127,"journal":{"name":"2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126211449","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: 4

Gamified Online Active Learning Theory 游戏化在线主动学习理论

2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2018-11-01 DOI: 10.1109/IICAIET.2018.8638463

M. Ohn, S. Yusof, Meryl Grace Lansing, Bareth Ravindran, K. Nisar, Issa Mchucha, Zamhar Iswandono, Ng Pey Luen, K. Ohn

引用次数: 5

IICAIET 2018 Author Index IICAIET 2018作者索引

2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2018-11-01 DOI: 10.1109/iicaiet.2018.8638455

引用次数: 0

IICAIET 2018 Cover Page IICAIET 2018封面

2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2018-11-01 DOI: 10.1109/iicaiet.2018.8638384

引用次数: 0

IICAIET 2018 Organizing Committee Members IICAIET 2018组委会成员

2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2018-11-01 DOI: 10.1109/iicaiet.2018.8638382

引用次数: 0

Development of electromotive amoeba-like hydraulic soft robot 电动类阿米巴液压软机器人的研制

2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2018-11-01 DOI: 10.1109/IICAIET.2018.8638450

Takashi Takuma, Kosuke Yamada, Ryo Kamai

引用次数: 1

Modeling of Vehicle Trajectory using K-Means and Fuzzy C-Means Clustering 基于k -均值和模糊c -均值聚类的车辆轨迹建模

2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2018-11-01 DOI: 10.1109/IICAIET.2018.8638471

M. Y. Choong, L. Angeline, R. Chin, K. Yeo, K. Teo

{"title":"Modeling of Vehicle Trajectory using K-Means and Fuzzy C-Means Clustering","authors":"M. Y. Choong, L. Angeline, R. Chin, K. Yeo, K. Teo","doi":"10.1109/IICAIET.2018.8638471","DOIUrl":"https://doi.org/10.1109/IICAIET.2018.8638471","url":null,"abstract":"The implementation of information technology in transportation system is becoming a leading trend nowadays due to alleviating the traffic problems such as traffic congestions and accidents are targeted as primary concerns by the traffic operators. Thus, monitoring the traffic scene serves as basis for the traffic operators especially at traffic intersection. Extracted traffic data from the monitoring system is often massive which requires efforts in searching for significant patterns in it. These patterns describe the vehicle movements are useful for observation of any abnormal behavior that leads to traffic conflicts. However, it will be a tremendous work for traffic operators to observe the vehicle flows manually where thousands of vehicles may travel through an intersection. Hence, the clustering of vehicle trajectory dataset for similar patterns identification is implemented with k-means and fuzzy c-means (FCM) clustering algorithm. As these clustering algorithms require the number of clusters as input parameter of the algorithms, the study of number of clusters for the clustering is served as focus in this paper. The evaluation of clustering performance with different input parameter of number of clusters is discussed in this paper.","PeriodicalId":308127,"journal":{"name":"2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131327867","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: 7

2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2018-11-01 DOI: 10.1109/iicaiet.2018.8638383

引用次数: 0

Comparison of Bit Error Rate Performance for CDMA Systems in Different Fading and AWGN Channels 不同衰落信道和AWGN信道下CDMA系统误码率性能的比较

2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2018-11-01 DOI: 10.1109/IICAIET.2018.8638449

A. Farzamnia, M. Mariappan, Ramanan Thangasalvam, E. Moung

引用次数: 3