2013 Sixth International Symposium on Computational Intelligence and Design最新文献_第5页

A New Extreme Learning Machine Optimized by Firefly Algorithm 一种基于萤火虫算法优化的极限学习机

2013 Sixth International Symposium on Computational Intelligence and Design Pub Date : 2013-10-28 DOI: 10.1109/ISCID.2013.147

Qiang Zhang, Hongxin Li, Changnian Liu, Wei Hu

引用次数: 5

A Study on the Significance of Software Metrics in Defect Prediction 软件度量在缺陷预测中的意义研究

2013 Sixth International Symposium on Computational Intelligence and Design Pub Date : 2013-10-28 DOI: 10.1109/ISCID.2013.199

Ye Xia, G. Yan, Qianran Si

引用次数: 12

QoS Multicast Routing Based on Firefly Algorithm 基于Firefly算法的QoS组播路由

2013 Sixth International Symposium on Computational Intelligence and Design Pub Date : 2013-10-28 DOI: 10.1109/ISCID.2013.47

Jie Yuan, Yafei Tian, Shan Wang, Changnian Liu

引用次数: 5

RCMS: Rapid Cloud Migration Solution RCMS:快速云迁移解决方案

2013 Sixth International Symposium on Computational Intelligence and Design Pub Date : 2013-10-28 DOI: 10.1109/ISCID.2013.112

Hexin Lv, Jingjing Liu

引用次数: 3

Multi-objective Metaheuristics for a Location-Routing Problem with Simultaneous Pickup and Delivery 多目标元启发式方法求解同时取货和投递的位置路径问题

2013 Sixth International Symposium on Computational Intelligence and Design Pub Date : 2013-10-28 DOI: 10.1109/ISCID.2013.197

Xuefeng Wang

{"title":"Multi-objective Metaheuristics for a Location-Routing Problem with Simultaneous Pickup and Delivery","authors":"Xuefeng Wang","doi":"10.1109/ISCID.2013.197","DOIUrl":"https://doi.org/10.1109/ISCID.2013.197","url":null,"abstract":"We address an integrated logistics system where decisions on location of depot, vehicle routing are considered simultaneously. Total cost and service quality are common criteria influencing decision-making. Literature on location routing problem (LRP) addressed the location and vehicle routing decisions with a common assumption that each vehicle can only performance pickup or delivery assignment in each dispatch. However, both demands of each customer often require be satisfied at the same time. In this paper we consider a LRP with simultaneous pickup and delivery to minimize total cost and customer waiting time. We formulate a nonlinear multi-objective integrated programming model for the problem. A heuristic algorithm based on tabu search is proposed to solve the large-size problem. We then empirically evaluate the strengths of the proposed formulations with respect to their ability to find optimal solutions or strong lower bounds, and investigate the effectiveness of the proposed heuristic approach. Results show that the proposed heuristic approach is computationally efficient in finding good quality solutions.","PeriodicalId":297027,"journal":{"name":"2013 Sixth International Symposium on Computational Intelligence and Design","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115243724","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

A Network Traffic Prediction Model Based on Quantum Inspired PSO and Neural Network 基于量子启发粒子群和神经网络的网络流量预测模型

2013 Sixth International Symposium on Computational Intelligence and Design Pub Date : 2013-10-28 DOI: 10.1109/ISCID.2013.168

Kun Zhang, L. Liang, Ying Huang

引用次数: 7

A New Classification Method Based on KF-SVM in Brain Computer Interfaces 基于KF-SVM的脑机接口分类新方法

2013 Sixth International Symposium on Computational Intelligence and Design Pub Date : 2013-10-28 DOI: 10.1109/ISCID.2013.55

Yang Banghua, Han Zhijun, Wang Qian, He Liangfei

{"title":"A New Classification Method Based on KF-SVM in Brain Computer Interfaces","authors":"Yang Banghua, Han Zhijun, Wang Qian, He Liangfei","doi":"10.1109/ISCID.2013.55","DOIUrl":"https://doi.org/10.1109/ISCID.2013.55","url":null,"abstract":"This paper proposes a novel classification method named KF-SVM (Kernel Fisher, Support Vector Machine), which is used for the EEG (Electroencephalography) classification of two classes of imagery data in BCIs (brain-computer interfaces). This method combines the kernel fisher and SVM. Its detailed process is as follows: First, the CSP (Common Spatial Patterns) is used to obtain features, and then the within-class scatter is calculated based on these features. The scatter is added into the RBF (Radical Basis Function) kernel function to construct a new kernel function. The obtained new kernel is integrated into the support vector machine to get a new classification model. The KF-SVM may overcome the following defects of the SVM: 1) the SVM maximizes the classification margin without considering within-class scatter. 2) The classification surface of the SVM between two types of EEG data only depends on boundary samples and misclassified samples. To evaluate effectiveness of the proposed KF-SVM method, the data from the 2008 international BCI competition and experiments of our laboratory are processed. The experimental result shows that the proposed KF-SVM classification algorithm can well classify EEG data and improve the correct rate of EEG recognition in BCIs.","PeriodicalId":297027,"journal":{"name":"2013 Sixth International Symposium on Computational Intelligence and Design","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125448961","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

A Study of Link Load Balancing Based on Improved Genetic Algorithm 基于改进遗传算法的链路负载均衡研究

2013 Sixth International Symposium on Computational Intelligence and Design Pub Date : 2013-10-28 DOI: 10.1109/ISCID.2013.183

Li Zhao, Yu-min Dong, Chen-yang Huang

引用次数: 7

Central Author Mining from Co-authorship Network 从合著者网络中挖掘中心作者

2013 Sixth International Symposium on Computational Intelligence and Design Pub Date : 2013-10-28 DOI: 10.1109/ISCID.2013.64

T. Peng, Delong Zhang, Xiaoming Liu, Shang Wang, Wanli Zuo

引用次数: 3

Key Designs in Implementing Online 3D Virtual Garment Try-On System 实现在线三维虚拟服装试穿系统的关键设计

2013 Sixth International Symposium on Computational Intelligence and Design Pub Date : 2013-10-28 DOI: 10.1109/ISCID.2013.46

Zheng Shou, Binqiang Yu, Gang Chen, Hengjin Cai, Qiaochu Liu

{"title":"Key Designs in Implementing Online 3D Virtual Garment Try-On System","authors":"Zheng Shou, Binqiang Yu, Gang Chen, Hengjin Cai, Qiaochu Liu","doi":"10.1109/ISCID.2013.46","DOIUrl":"https://doi.org/10.1109/ISCID.2013.46","url":null,"abstract":"Online 3D Virtual Garment Try-on System is deeply needed and would be quite popular if we could improve its accuracy, effect, and user experience. In order to achieve these goals, we propose several key designs in implementing it. In this paper, we discuss the system architecture design at first. Then we introduce a simple but effective method to model 3D body prototypes. Based on models in Poser software, we segment them into layers and then do triangularizition to get triangular surfaces. As for garment modeling based on Spring-Mass model and physical try-on simulation, we propose a novel method based on uniform grid to detect collision. Store references of triangular surfaces into grids that they occupied and then calculate which grids a moving line of mass go through. Get triangular surfaces in these grids out and then judge whether the moving line intersects with them. It achieved fast detection in around 0.1% of time consuming by using linear searching. The performances of body modeling and try-on simulation are satisfying, and real-time responses could be achieved because of less complex computation and light-scale data transformation.","PeriodicalId":297027,"journal":{"name":"2013 Sixth International Symposium on Computational Intelligence and Design","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131093385","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