2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS)最新文献

Determinism through Path Diversity: Why Packet Replication Makes Sense 路径多样性的确定性:为什么包复制是有意义的

2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS) Pub Date : 2016-09-07 DOI: 10.1109/INCoS.2016.105

Jésica de Armas, Pere Tuset, Tengfei Chang, F. Adelantado, T. Watteyne, Xavier Vilajosana

引用次数: 19

Damage Effectiveness Evaluation on the Time Sensitive Group Targets for Trajectory Correction Missile Carrying with Terminal-Sensitive Projectiles 末敏弹弹道修正导弹时敏群目标毁伤效能评估

2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS) Pub Date : 2016-09-01 DOI: 10.1109/INCoS.2016.57

Jie Li, Hong Zhang

引用次数: 0

Network Design Method Based on Link Protection Taking Account of the Connectivity and Distance Between Sites 考虑站点间连通性和距离的链路保护网络设计方法

2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS) Pub Date : 2016-09-01 DOI: 10.1109/INCoS.2016.74

Tsuyoshi Yamasaki, M. Anan, H. Miwa

{"title":"Network Design Method Based on Link Protection Taking Account of the Connectivity and Distance Between Sites","authors":"Tsuyoshi Yamasaki, M. Anan, H. Miwa","doi":"10.1109/INCoS.2016.74","DOIUrl":"https://doi.org/10.1109/INCoS.2016.74","url":null,"abstract":"High reliability is required in networks, and it is important to build robust networks that are tolerant to network failures. In content delivery services in particular, service interruptions due to disconnection of communication paths between the server and nodes that receive the service must be avoided. Content delivery services use a master server that contains the original content and multiple edge-servers (mirror servers) that hold copies of the content so that communication paths exist between the master server and the edge-servers even in the event of a failure. In addition to the guarantee of network connectivity, large increases in path lengths when changing from the paths used during normal operation to alternative paths in the event of a failure must be avoided from the viewpoint of suppressing degradation of the communication quality and the possibility of congestion. However, building such high-reliability networks involves huge costs. Therefore, it is considered necessary to devise a network design that can realize continuity of communication between the master server and the edge-servers by suppressing sudden increases in path length, even if a failure occurs. In this paper, we formulate a network design problem and show that it is NP-hard. We also design a polynomial-time approximation algorithm for the case where the number of failed links is constant, and we evaluated its performance in various actual network topologies.","PeriodicalId":102056,"journal":{"name":"2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126778094","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: 6

Intrusion Detection Techniques Based on Improved Intuitionistic Fuzzy Neural Networks 基于改进直觉模糊神经网络的入侵检测技术

2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS) Pub Date : 2016-09-01 DOI: 10.1109/INCoS.2016.54

Yang Lei, Jia Liu, Hongyan Yin

{"title":"Intrusion Detection Techniques Based on Improved Intuitionistic Fuzzy Neural Networks","authors":"Yang Lei, Jia Liu, Hongyan Yin","doi":"10.1109/INCoS.2016.54","DOIUrl":"https://doi.org/10.1109/INCoS.2016.54","url":null,"abstract":"At present, the issue of intrusion detection must be a hot point to all over the computer security area. In this paper, two novel intrusion detection techniques have been proposed. First, unlike the current existent detection methods, this paper combines the theories of both intuitionistic fuzzy sets (IFS) and artificial neural networks (ANN) together, which lead to much fewer iteration numbers, higher detection rates and sufficient stability. Experimental results show that the first method proposed in this paper is promising and has obvious superiorities over other current typical ones. Then we address another novel technique based on non-subsampled Shearlet transform (NSST) domain artificial neural networks (ANN) to solve those problems, including employing multi-scale geometry analysis (MGA) of NSST and the train characteristics of ANN together. Experimental results indicate that, compared with other existing conventional intrusion detection tools, the second proposed method is superior to other current popular ones in both aspects of iteration numbers and convergence rates. Therefore, the anomaly detection process is performed through processing the signals representing the metrics. Experimental results indicate that the third proposed technique is effective and promising.","PeriodicalId":102056,"journal":{"name":"2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115054200","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: 6

Agent-Based Cloud Computing Systems for Traffic Management 基于agent的交通管理云计算系统

2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS) Pub Date : 2016-09-01 DOI: 10.1109/INCoS.2016.80

J. Vaščák, Jakub Hvizdo, Michal Puheim

引用次数: 14

Creating Complex Networks Using Multi-swarm PSO 基于多群粒子群算法的复杂网络构建

2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS) Pub Date : 2016-09-01 DOI: 10.1109/INCoS.2016.86

Michal Pluhacek, R. Šenkeřík, Adam Viktorin, I. Zelinka

引用次数: 4

Challenges in Efficient Customer Recognition in Contact Centre: State-of-the-Art Survey by Focusing on Big Data Techniques Applicability 呼叫中心高效客户识别的挑战:基于大数据技术适用性的最新调查

2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS) Pub Date : 2016-09-01 DOI: 10.1109/INCoS.2016.136

Morteza Saberi, Anne Karduck, O. Hussain, Elizabeth Chang

引用次数: 6

A Novel Multi-class Classification Approach Based on Fruit Fly Optimization Algorithm and Relevance Vector Machine 基于果蝇优化算法和相关向量机的多类分类方法

2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS) Pub Date : 2016-09-01 DOI: 10.1109/INCoS.2016.67

Jianshe Kang, Kun Wu, Kuo Chi, Xu An Wang

引用次数: 1

Using Topic Model for Intelligent Computer-Aided Diagnosis in Traditional Chinese Medicine 主题模型在中医智能计算机辅助诊断中的应用

2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS) Pub Date : 2016-09-01 DOI: 10.1109/INCoS.2016.46

Jialin Ma, Yongjun Zhang

引用次数: 2

Using Octree Maps and RGBD Cameras to Perform Mapping and A* Navigation 使用八叉树地图和RGBD相机执行映射和A*导航

2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS) Pub Date : 2016-09-01 DOI: 10.1109/INCoS.2016.107

Peter Beno, V. Pavelka, F. Duchoň, Martin Dekan

引用次数: 7