2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS)最新文献_第2页

Multimode resonator microstrip bandpass filters 多模谐振器微带带通滤波器

2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2017-10-01 DOI: 10.1109/I2CACIS.2017.8239032

M. K. Haldar, A. Farzamnia, H. T. Su

引用次数: 0

Strength characteristic of polyurethane with variation of polyol to isocyanate mix ratio : A numerical analysis 多元醇与异氰酸酯配比变化对聚氨酯强度特性的影响

2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2017-10-01 DOI: 10.1109/I2CACIS.2017.8239028

N. Sidek, I. Bakar, A. A. Azman, A. S. A. Rahman, Wizario Anak Austin

{"title":"Strength characteristic of polyurethane with variation of polyol to isocyanate mix ratio : A numerical analysis","authors":"N. Sidek, I. Bakar, A. A. Azman, A. S. A. Rahman, Wizario Anak Austin","doi":"10.1109/I2CACIS.2017.8239028","DOIUrl":"https://doi.org/10.1109/I2CACIS.2017.8239028","url":null,"abstract":"Based on numerical analysis, we determine the ideal mix ratio of polyol-isocyanate content that influence the strength characteristic of polyurethane foam subjected to axial loadings. This paper focuses on compressive strength characteristics and provides the solution for ideal mix ratios of polyurethane foam. Fourteen (14) mix ratios are investigated in the numerical analyses; i.e. 1:0.59, 1:0.67, 1:0.77, 1:1.00, 1:1.10, 1:1.20, 1:1.30, 1:1.40, 1:1.50, 1:1.60, 1:1.70, 1:1.80, 1:1.90 and 1:2.00. The ABAQUS is adopted to measure the strength characteristic effects of each mix ratios and the numerical results are compared with the experimental results obtained in [1]. It is found that the maximum compressive strength is achieved with 1:2 mix ratio. This result is identical on both experimental work and numerical analysis. It is shown that the isocyanate ratio in polyol to isocyanate ratio increases the compressive strength. In conclusion, the ideal polyol-isocyanate content is determined with the relationship between the compressive stress and polyol-isocyanate content variation. It is observed that the 1:1 of polyol-isocyanate content provides an adequate expansion and compressive strength.","PeriodicalId":218798,"journal":{"name":"2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128744289","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

Prediction-based autoscaling for container-based PaaS system 基于容器的PaaS系统的基于预测的自动伸缩

2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2017-10-01 DOI: 10.1109/I2CACIS.2017.8239026

Bin Xie, Guanyi Sun, G. Ma

引用次数: 1

A dynamic artificial neural network approach to estimate thermal behaviors of li-ion batteries 一种动态人工神经网络估计锂离子电池热行为的方法

2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2017-10-01 DOI: 10.1109/I2CACIS.2017.8239043

Mohammad Behdad Jamshidi, Safdar Rostami

{"title":"A dynamic artificial neural network approach to estimate thermal behaviors of li-ion batteries","authors":"Mohammad Behdad Jamshidi, Safdar Rostami","doi":"10.1109/I2CACIS.2017.8239043","DOIUrl":"https://doi.org/10.1109/I2CACIS.2017.8239043","url":null,"abstract":"Li-ion batteries as secondary cells have important role in transfer energy in the technology world. These storage batteries have nonlinear behaviors against increasing their temperature. Therefore, thermal effect as one of important parameters is considered for modeling these accumulators. An artificial neural network is subset of computational intelligence approaches method that can identify a wide range of complex systems with the highest accuracy. In addition, this approach does not require much knowledge from the systems and is used as a black box model. In this paper, a dynamic artificial neural network approach based on Nonlinear Autoregressive eXogenous (NARX) model to analyze thermal behaviors of a li-ion battery is presented. The proposed network is trained by Levenberg-Marquardt backpropagation algorithm. In this method, discharge-load voltage and discharge-measured temperature of a li-ion is considered as input and output of the network respectively. The input and output data are provided from an experimental test that was carried out by one of the research centers of NASA. Simulation results show that the proposed approach is high accuracy to model the battery with MSE 2.032×10−2, 5.438×10−1 and 2.155×10−1 in order for training, validation, and test data. Also, regression R is measured the correlation between all outputs and targets about 9.674×10−1.","PeriodicalId":218798,"journal":{"name":"2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130492762","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: 17

Blood pressure measurements using non-contact video imaging techniques 使用非接触式视频成像技术测量血压

2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2017-10-01 DOI: 10.1109/I2CACIS.2017.8239029

W. L. Khong, N. K. Rao, M. Mariappan

引用次数: 10

Modeling of vehicle trajectory clustering based on LCSS for traffic pattern extraction 基于LCSS的交通模式提取车辆轨迹聚类建模

2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2017-10-01 DOI: 10.1109/I2CACIS.2017.8239036

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

{"title":"Modeling of vehicle trajectory clustering based on LCSS for traffic pattern extraction","authors":"M. Y. Choong, L. Angeline, R. Chin, Kiam Beng Yeo, K. Teo","doi":"10.1109/I2CACIS.2017.8239036","DOIUrl":"https://doi.org/10.1109/I2CACIS.2017.8239036","url":null,"abstract":"The emerging of the intelligent transportation system especially in the research area of traffic surveillance and solving traffic congestions, become notably crucial for traffic operators in the aim of achieving efficient vehicle flow. However, behavioural manoeuvres that describe the pattern of vehicles movements and change of the vehicle flow are not sufficiently modeled based on the conventional inductive-loop traffic sensors. These behavioural manoeuvres are useful for interpreting the indepth study of traffic pattern in a traffic network. Hence, with the advancement of the available vehicle tracking system, vehicle trajectory dataset is selected as suitable candidate input for the traffic pattern extraction. The implementation of k-means and fuzzy c-means (FCM) clustering algorithm for vehicle flow analyzing task is served as focus in this paper. Similarity function based on Longest Common Subsequence (LCSS) is implemented to measure the similarity among the trajectories before clustering is performed. Rand Index (RI) is computed to evaluate the clustering performance of two sets trajectories with two different traffic scenes by comparing the simulated clustering result with the ground-truth result.","PeriodicalId":218798,"journal":{"name":"2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116987677","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: 17

SUMO enhancement for vehicular ad hoc network (VANET) simulation 车辆自组织网络(VANET)仿真的SUMO增强

2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2017-10-01 DOI: 10.1109/I2CACIS.2017.8239038

Kit Guan Lim, Chun Hoe Lee, R. Chin, Kiam Beng Yeo, K. Teo

{"title":"SUMO enhancement for vehicular ad hoc network (VANET) simulation","authors":"Kit Guan Lim, Chun Hoe Lee, R. Chin, Kiam Beng Yeo, K. Teo","doi":"10.1109/I2CACIS.2017.8239038","DOIUrl":"https://doi.org/10.1109/I2CACIS.2017.8239038","url":null,"abstract":"Vehicles have become a daily needs for all of us and it is normal that every family is having at least one vehicle at their home. This leads to the increased of accidents and vehicular ad hoc network (VANET) is an approach invented to tackle with this problem. In order to study the algorithm in VANET, a mobility simulator is needed for simulation. SUMO is proved to be a good simulation tool for VANET while MATLAB is good for future algorithm development. To develop a good simulation platform, modification on SUMO files are necessary. This paper discusses on the steps for creating a left-hand traffic (LHT) simulation file that is suitable to be used in Malaysia. Most of the hard work in creating LHT simulation is to modify the road connection and traffic light files. This paper also showed the results of the simulation after SUMO files modification. It is recommended that user make a good decision in deciding the map for simulation. Smaller map is easier to modify, while maintaining the same map for the whole VANET development can prevent a start over on the SUMO files modification process.","PeriodicalId":218798,"journal":{"name":"2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116590334","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: 31

Identification of impulse responses of multi-input systems 多输入系统的脉冲响应辨识

2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2017-10-01 DOI: 10.1109/I2CACIS.2017.8239025

A. H. Tan, Yin Hoe Ng

引用次数: 1

Optimization of traffic network signal timing using decentralized genetic algorithm 基于分散遗传算法的交通网络信号配时优化

2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2017-10-01 DOI: 10.1109/I2CACIS.2017.8239034

M. K. Tan, H. S. Chuo, R. Chin, Kiam Beng Yeo, K. Teo

{"title":"Optimization of traffic network signal timing using decentralized genetic algorithm","authors":"M. K. Tan, H. S. Chuo, R. Chin, Kiam Beng Yeo, K. Teo","doi":"10.1109/I2CACIS.2017.8239034","DOIUrl":"https://doi.org/10.1109/I2CACIS.2017.8239034","url":null,"abstract":"This work aims to minimize average delay for signalized traffic network along Jalan UMS under oversaturated condition using decentralized genetic algorithm (DGA). Relieving traffic network is a key challenge for a nation for improving its socio-economic systems and welfare to society. Control the traffic signal timing becomes a cost effective solution to reduce congestion since the space constraint limits the authority to build more infrastructures in city. Regrettably, most of the current traffic signal control systems are not yet optimized. They are preset based on historical traffic data; thus they are inadequate to cope with the dynamic changes in real traffic scenario. Therefore, this work proposes DGA to optimize the traffic network signal for reducing average delay during the morning peak hour. A comprehensive traffic model based on Public Works Department, Malaysia has been developed as the platform. The average delay experienced by vehicles to traverse the crossed intersection during morning peak hour is used as the performance metric to evaluate performances of the proposed algorithm. Simulation results show developed DGA is able to reduce the average network delay by optimizing the traffic signal.","PeriodicalId":218798,"journal":{"name":"2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134346920","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: 25

A stochastic traffic cellular automata with controlled randomness 具有可控随机性的随机交通元胞自动机

2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2017-10-01 DOI: 10.1109/I2CACIS.2017.8239035

L. Angeline, M. Y. Choong, B. Chua, R. Chin, K. Teo

引用次数: 4