2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)最新文献_第4页

Adaptive synchronization of complex-valued neural networks with time delay 带时滞的复值神经网络自适应同步

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449840

Haibo Bao, Ju H. Park

引用次数: 3

A fractional order variational model for tracking the motion of objects in the applications of video surveillance 分数阶变分模型在视频监控中的应用

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449814

Pushpendra Kumar, Sanjeev Kumar, B. Raman

引用次数: 3

A comparative investigation of the robustness of unsupervised clustering techniques for rotating machine fault diagnosis with poorly-separated data 无监督聚类技术在旋转机械故障诊断中的鲁棒性比较研究

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449821

Tapana Mekaroonkamon, S. Wongsa

{"title":"A comparative investigation of the robustness of unsupervised clustering techniques for rotating machine fault diagnosis with poorly-separated data","authors":"Tapana Mekaroonkamon, S. Wongsa","doi":"10.1109/ICACI.2016.7449821","DOIUrl":"https://doi.org/10.1109/ICACI.2016.7449821","url":null,"abstract":"The data recorded in industry for rotating machine health monitoring are often a large number and unlabelled. It is impractical to label these data manually. Traditionally unsupervised algorithms have been applied to address this challenge. In the situation where relevant features are included or when the features are not selected properly, it could lead to poorly-separated clusters and deteriorate the clustering performance. It is of interest to investigate the performance of clustering techniques in these circumstances. This paper aims to provide a comparative study and investigation of three well-known clustering techniques, i.e. the k-means clustering algorithm, hierarchical clustering algorithm and expectation-maximisation (EM) clustering algorithm, combined with Calinski-Harabasz index, Davies-Bouldin index, Gap value index, and Silhouette index for determining the number of clusters for both well- and poorly-separated clusters. The experimental results on two real bearing datasets show that the expectation-maximisation (EM) clustering algorithm combined with the Gap value index is the most efficient and robust method to determine the optimal number of clusters in the dataset and classify the unlabelled data.","PeriodicalId":211040,"journal":{"name":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132980198","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: 10

Automatic identification and multi-translatable translation of vocabulary terms with a combined approach 词汇术语的自动识别与多可译组合方法

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449849

Jian Qu, YeZhuang Lu

引用次数: 4

Lagrange stability of complex-valued neural networks with time-varying delays 时变时滞复值神经网络的拉格朗日稳定性

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449850

Zhengwen Tu, Jinde Cao

引用次数: 0

A dynamic competitive swarm optimizer based-on entropy for large scale optimization 基于熵的大规模动态竞争群优化器

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449853

Wenxue Zhang, Wei-neng Chen, Jun Zhang

引用次数: 17

The key factors in the reuse of telecare: An application of DEMATEL 远程医疗重用的关键因素:DEMATEL的应用

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449851

Jui-Chen Huang

引用次数: 0

Antagonistic consensus analysis in time-varying balanced networks 时变平衡网络的拮抗一致性分析

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449828

Hui Gao, Yongduan Song, R. Gao

引用次数: 0

Aware and smart member card: RFID and license plate recognition systems integrated applications at parking guidance in shopping mall 感知和智能会员卡:RFID和车牌识别系统在商场停车引导中的集成应用

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449834

Cheng-Kung Chung, Kuang-Yu Hsieh, Yung-Hau Wang, Ching-Ter Chang

{"title":"Aware and smart member card: RFID and license plate recognition systems integrated applications at parking guidance in shopping mall","authors":"Cheng-Kung Chung, Kuang-Yu Hsieh, Yung-Hau Wang, Ching-Ter Chang","doi":"10.1109/ICACI.2016.7449834","DOIUrl":"https://doi.org/10.1109/ICACI.2016.7449834","url":null,"abstract":"Member card can provide personal identification, authentication, data storage, and application processing. It may provide strong marketing media for customer relationship within business organizations. In this paper, the integrated applications of passive radio frequency identification (RFID) and license plate recognition (LPR) are presented. We applied RFID and LPR techniques integrated, meanwhile, we collected the vehicles self-adhered e-Tag ID data. All of these development to compile on the member card as a linking media, it provided the more premium services for card holder. By the cumulative utilization and analysis data of member card, it has become an essential connection between the customers and the companies. It is not only added card self-valued, but also do grasp customers' preference. This proposed system is composed of three main modules at RFID (3M e-Tag), LPR (Image processing), and RFID (NXP MIFARE), respectively. It is designed to meet the requirements of performance and can be generally applied to the commercial markets (e.g., other malls, marts, department stores) that also operate parking lots which face similar problems.","PeriodicalId":211040,"journal":{"name":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122563733","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

Circuit tolerance design by differential evolution with hybrid analysis method 基于差分进化混合分析方法的电路容差设计

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI: 10.1109/ICACI.2016.7449806

Fugui Zhong, Bin Li, Bo Yuan

{"title":"Circuit tolerance design by differential evolution with hybrid analysis method","authors":"Fugui Zhong, Bin Li, Bo Yuan","doi":"10.1109/ICACI.2016.7449806","DOIUrl":"https://doi.org/10.1109/ICACI.2016.7449806","url":null,"abstract":"With the continued scaling down of electronic device dimensions, circuit design under parameter variations has received increasing interests. In this paper, a new method that combine the differential evolution with hybrid analysis method is presented to solve the worst-case circuit tolerance design problem. The hybrid analysis method is comprised of two commonly used worst-case circuit tolerance analysis approaches, vertex analysis and Monte Carlo analysis. The search direction of differential evolution is leaded by vertex analysis at the first stage, through which we can reduce the computational complexity of fitness calculation dramatically. Monte Carlo analysis, a higher accuracy analysis method, is applied to ensure the quality of the solutions at the second stage. Some of the individuals are reinitialized to enhance the diversity of the population at the beginning of the second stage. By cooperating the two analysis methods, the proposed method can converge to the global optimum or near-optimum solutions more quickly. The experiment results show the effectiveness and efficiency of proposed techniques for the circuit tolerance design.","PeriodicalId":211040,"journal":{"name":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126792520","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