2014 IEEE International Conference on Information and Automation (ICIA)最新文献_第2页

Optimal design of a robotic eye based on spherical parallel mechanism by evolutionary strategy algorithm 基于进化策略算法的球面并联机械眼优化设计

2014 IEEE International Conference on Information and Automation (ICIA) Pub Date : 2014-07-28 DOI: 10.1109/ICINFA.2014.6932797

Chaojiong Huang, J. Gu, Jun Luo, Hengyu Li, Juan Zhang, Jun Ke

引用次数: 1

Cooperative spectrum sensing against attacks in cognitive radio networks 认知无线电网络中协同频谱感知对抗攻击

2014 IEEE International Conference on Information and Automation (ICIA) Pub Date : 2014-07-28 DOI: 10.1109/ICINFA.2014.6932628

Jianxin Yang, Yuebin Chen, Weiguang Shi, Xuejiao Dong, Ting Peng

引用次数: 6

Graphical user interface based controller design for switching converters 基于图形用户界面的开关变换器控制器设计

2014 IEEE International Conference on Information and Automation (ICIA) Pub Date : 2014-07-28 DOI: 10.1109/ICINFA.2014.6932822

G. Abbas, U. Farooq, J. Gu, M. Asad

引用次数: 3

A framework to specify big data driven complex cyber physical control systems 大数据驱动的复杂网络物理控制系统框架

2014 IEEE International Conference on Information and Automation (ICIA) Pub Date : 2014-07-28 DOI: 10.1109/ICINFA.2014.6932715

Lichen Zhang

{"title":"A framework to specify big data driven complex cyber physical control systems","authors":"Lichen Zhang","doi":"10.1109/ICINFA.2014.6932715","DOIUrl":"https://doi.org/10.1109/ICINFA.2014.6932715","url":null,"abstract":"Big data technology is a new technology that aims to efficiently obtain value from very big volumes of a wide variety of data, by enabling high velocity capture, process, store, discovery and/or analysis, while ensuring their veracity by an automatic quality control in order to obtain a big value and make decision. Big Data is described by what is often represented as a multi-V model. In multi-V model, volume, velocity and variety are the items most commonly recognized. Big data driven cyber physical systems refer to such cyber physical systems that use large quantities of complex data to perform their functions. Data is very important to the correct specification, analysis, design and implementation and operation of these big data driven cyber physical systems. he design of big data driven cyber physical systems requires that new concepts are used to model classical data structures, 4V features of big data, spatio-temporal constraints and moving object, and the dynamic continuous behavior of the physical world. In this paper, we propose an approach to integrate Architecture Analysis & Design Language (AADL) [6], Modelicaml and Hybrid Relation Calculus for big data driven cyber physical system development. We illustrate the proposed method by specifying and modeling the Vehicular Ad doc NETwork (VANET).","PeriodicalId":427762,"journal":{"name":"2014 IEEE International Conference on Information and Automation (ICIA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129595738","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

Convex polytopic modeling for flexible joints industrial robot using TP-model transformation 基于tp -模型变换的柔性关节工业机器人凸多边形建模

2014 IEEE International Conference on Information and Automation (ICIA) Pub Date : 2014-07-28 DOI: 10.1109/ICINFA.2014.6932803

Jing Chen, Ruifeng Li, Chuqing Cao

引用次数: 23

Research of performance test technology for big data applications 大数据应用性能测试技术研究

2014 IEEE International Conference on Information and Automation (ICIA) Pub Date : 2014-07-28 DOI: 10.1109/ICINFA.2014.6932625

Zhenyu Liu

引用次数: 18

A new instrument for biomechanical measurement 一种新型生物力学测量仪器

2014 IEEE International Conference on Information and Automation (ICIA) Pub Date : 2014-07-28 DOI: 10.1109/ICINFA.2014.6932835

Wei Chen, Yimin Zhou, Guoqing Xu, Qi Zhang, Ting Qu, Fanglin Yuan, Dan Huang, Yulong Sun

引用次数: 0

Modeling of an anti-interference spherical robot for polar region scientific research 极地科研用抗干扰球形机器人建模

2014 IEEE International Conference on Information and Automation (ICIA) Pub Date : 2014-07-28 DOI: 10.1109/ICINFA.2014.6932849

Jun Luo, Junfeng Yao, Yan Peng, Shaorong Xie, Xudong Zou, Chuan Zhu, Kai Feng, J. Gu

引用次数: 4

A hybrid PSO-GSA strategy for high-dimensional optimization and microarray data clustering 高维优化和微阵列数据聚类的混合PSO-GSA策略

2014 IEEE International Conference on Information and Automation (ICIA) Pub Date : 2014-07-28 DOI: 10.1109/ICINFA.2014.6932623

Shiquan Sun, Qinke Peng

{"title":"A hybrid PSO-GSA strategy for high-dimensional optimization and microarray data clustering","authors":"Shiquan Sun, Qinke Peng","doi":"10.1109/ICINFA.2014.6932623","DOIUrl":"https://doi.org/10.1109/ICINFA.2014.6932623","url":null,"abstract":"High-dimensional data analysis and its great chances of overfitting result in great challenges for constructing efficient models in practical applications. To overcome these problems swarm intelligence algorithms can be utilized. However, the balance between global and local search throughout the course of a run is critical to the success of an intelligence optimization algorithm. Moreover, almost all the available algorithms are still having issues like premature convergence to local optimum and slow convergence rate, especially in high-dimensional space. As motivated above, a new hybrid optimization algorithm integrating particle swarm optimization(PSO) with gravitational search algorithm(GSA) is presented (denoted as PSOGSA). Based on the analysis of the compensatory advantages of the PSO and the GSA, in this paper, we integrate the ability of exploitation in PSO with the ability of exploration in GSA to update velocity equations. To update position equations a mobility factor is used which is guided by diversity of population to improve the final accuracy and the convergence speed of the PSOGSA. We also apply proposed algorithm to the cluster analysis of microarray data. Experiments are conducted on six benchmark test functions, four artificial data sets and three microarray data sets, and the results demonstrate that the proposed algorithm possess better robustness.","PeriodicalId":427762,"journal":{"name":"2014 IEEE International Conference on Information and Automation (ICIA)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127697839","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: 13

Revisiting hybrid five-bar mechanism: Position domain control application 重述混合五杆机构:位置域控制应用

2014 IEEE International Conference on Information and Automation (ICIA) Pub Date : 2014-07-28 DOI: 10.1109/ICINFA.2014.6932760

P. Ouyang, H. M. Kang, W. Yue, D. S. Liu

引用次数: 7