2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS)最新文献_第9页

On Evolutionary Dynamics Modeled by Ant Algorithm 基于蚁群算法的进化动力学研究

2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS) Pub Date : 2016-09-01 DOI: 10.1109/INCoS.2016.19

I. Zelinka, Lukas Tomaszek, Lumír Kojecký

引用次数: 7

The Research of the University Public Opinion Management on Internet 网络环境下高校舆情管理研究

2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS) Pub Date : 2016-09-01 DOI: 10.1109/INCoS.2016.89

Hongxia Li, Kai Yan

引用次数: 0

Design Patterns in Management Systems 管理系统中的设计模式

2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS) Pub Date : 2016-09-01 DOI: 10.1109/INCoS.2016.20

Viliam Malcher

引用次数: 1

Cloud Security: From Per-Provider to Per-Service Security SLAs 云安全:从每个提供商到每个服务的安全sla

2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS) Pub Date : 2016-09-01 DOI: 10.1109/INCoS.2016.61

Alessandra De Benedictis, V. Casola, M. Rak, Umberto Villano

{"title":"Cloud Security: From Per-Provider to Per-Service Security SLAs","authors":"Alessandra De Benedictis, V. Casola, M. Rak, Umberto Villano","doi":"10.1109/INCoS.2016.61","DOIUrl":"https://doi.org/10.1109/INCoS.2016.61","url":null,"abstract":"Cloud Security is still considered one of the main factors inhibiting the diffusion of the Cloud Computing paradigm. Potential Cloud Service Customers (CSCs) do not trust delegating every kind of resources and data to external Cloud Service Providers (CSPs). The problem grows in complexity due to the increasing adoption of complex supply chains: CSPs that offer Sofware-as-a-Service (SaaS) cloud services often do not have their own data centers, but just acquire resources and services from other CSPs. This makes ithard, if not impossible, to ascribe the responsibility of a securityincident. A possible solution is the adoption of Security ServiceLevel Agreements (SLAs): CSPs should deliver services withan SLA that details each guarantee offered in terms of security, and CSCs should be able to compare offerings from differentCSPs and verify that SLAs are respected during service lifecycle. This paper shows how it is possible to build up a per-serviceSecurity SLA in a chain of cloud services, proposing asolution based on a security evaluation technique to comparedifferent cloud service supply chains based on their SecuritySLAs.","PeriodicalId":102056,"journal":{"name":"2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS)","volume":"1 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":"128247491","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 Calibration Approach for Accuracy Infrared Temperature 一种精度红外温度的标定方法

2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS) Pub Date : 2016-09-01 DOI: 10.1109/INCoS.2016.37

Yanzhen Liang, Ze-Dong Qian

引用次数: 0

Locality-Aware and Energy-Aware Job Pre-Assignment for Mapreduce Mapreduce的位置感知和能量感知作业预分配

2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS) Pub Date : 2016-09-01 DOI: 10.1109/INCoS.2016.13

Lei Chen, Jing Zhang, Lijun Cai, Ziyun Deng, Tinqing He, Xu An Wang

引用次数: 3

Multi-class Intelligent Fault Diagnosis Approach Based on Modified Relevance Vector Machine 基于改进相关向量机的多类智能故障诊断方法

2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS) Pub Date : 2016-09-01 DOI: 10.1109/INCoS.2016.66

Jianshe Kang, Kun Wu, Kuo Chi, Yinxia Du

{"title":"Multi-class Intelligent Fault Diagnosis Approach Based on Modified Relevance Vector Machine","authors":"Jianshe Kang, Kun Wu, Kuo Chi, Yinxia Du","doi":"10.1109/INCoS.2016.66","DOIUrl":"https://doi.org/10.1109/INCoS.2016.66","url":null,"abstract":"In order to solve the problem of fault data with small sample and nonlinear in fault diagnosis and improve support vector machine, a fault diagnostic approach based on the multi-class classification method of One-Against-Rest (OAR) algorithm and decision tree is proposed combined with relevance vector machine. The above classification method modifies the current OAR algorithm using decision tree during the testing phase. To be specific, the K classifiers of OAR algorithm are arranged to form a decision tree in descending order and to reduce the average testing numbers of classifiers is the optimization object. Meanwhile, the threshold value of distance function is set and function value of each classifier is calculated in the sequence of decision tree. Once the function value of the i-th classifier exceeds the threshold, the testing sample will be assigned to the i-th class without any other evaluations. If none of values exceeds the threshold, the sample is classified to the class of the maximal decision function value as same as that of OAR. Theoretical analysis and experimental results both demonstrate that the presented approach performs better than traditional methods in terms of diagnosis time, diagnosis accuracy and diagnosis efficiency.","PeriodicalId":102056,"journal":{"name":"2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS)","volume":"9 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":"126429743","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: 1

Intrusion Detection Techniques Based on Cutting-Based Real-Valued Negative Selection 基于切割实值负选择的入侵检测技术

2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS) Pub Date : 2016-09-01 DOI: 10.1109/INCoS.2016.55

Yang Lei, Xu An Wang, Hongyan Yin

引用次数: 0

Bayesian Parameter Estimation of Weibull Mixtures Using Cuckoo Search 基于布谷鸟搜索的威布尔混合物贝叶斯参数估计

2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS) Pub Date : 2016-09-01 DOI: 10.1109/INCoS.2016.68

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

引用次数: 4

A Bi-objective Model for Relief Supply Location in Post-Disaster Management 灾后救援物资位置管理的双目标模型

2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS) Pub Date : 2016-09-01 DOI: 10.1109/INCoS.2016.59

Seyed Mohammad Khalili, M. Babagolzadeh, M. Yazdani, Morteza Saberi, Elizabeth Chang

引用次数: 12