2018 3rd International Conference on Information Systems Engineering (ICISE)最新文献

SNS-MEBN Based Method for Situational Awareness of Ship Navigation 基于SNS-MEBN的船舶航行态势感知方法

2018 3rd International Conference on Information Systems Engineering (ICISE) Pub Date : 2018-05-04 DOI: 10.1109/ICISE.2018.00021

Wanqi Wei, Shu Gao, X. Chu, Abdoulaye Sidibé

{"title":"SNS-MEBN Based Method for Situational Awareness of Ship Navigation","authors":"Wanqi Wei, Shu Gao, X. Chu, Abdoulaye Sidibé","doi":"10.1109/ICISE.2018.00021","DOIUrl":"https://doi.org/10.1109/ICISE.2018.00021","url":null,"abstract":"Situational Awareness of Ship Navigation plays an important role in the safety and security of waterway transport. However, the current ship navigation safety assessment method cannot effectively express the uncertain knowledge. In this paper we propose a method for Ship Navigation Safety based on Multi-Entity Bayesian Networks (SNS-MEBN) in order to evaluate the ship navigation safety. This could reduce the factors of ship navigation safety based on Rough Set Condition Information Entropy (RSCIE). SNS-MEBN is constructed by combining Multi-Entity Bayesian Networks (MEBN) with the reduction result, thus the expression of uncertain knowledge in the process of ship navigation safety assessment is realized. Inference of ship navigation safety is made by combining SNS-MEBN and Bayesian Network Joint Tree Reasoning (BNJTR) algorithms. Finally, to validate the proposed method, experiments are conducted over the navigation data of ships navigating from Hejiangmen to Wangyemiao, collected by the Changjiang Waterway Bureau were validated. The experimental results showed that proposed method has the better accuracy.","PeriodicalId":207897,"journal":{"name":"2018 3rd International Conference on Information Systems Engineering (ICISE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122478824","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 Methodology for Aligning Usability and Security in Systems and Services 在系统和服务中调整可用性和安全性的方法

2018 3rd International Conference on Information Systems Engineering (ICISE) Pub Date : 2018-05-04 DOI: 10.1109/ICISE.2018.00019

Bilal Naqvi, A. Seffah

引用次数: 15

Research on Personalized Book Recommendation Model for New Readers 面向新读者的个性化图书推荐模型研究

2018 3rd International Conference on Information Systems Engineering (ICISE) Pub Date : 2018-05-04 DOI: 10.1109/ICISE.2018.00022

Ji Qi, Shi Liu, Yannan Song, Xiang Liu

引用次数: 7

Bibliometrics Analysis of Research Literatures on Smart Library in Academic Journals of China 中国学术期刊智慧图书馆研究文献计量学分析

2018 3rd International Conference on Information Systems Engineering (ICISE) Pub Date : 2018-05-04 DOI: 10.1109/ICISE.2018.00020

Kunyuan Huang, Shi Liu, Zhiqiang Zhou

引用次数: 4

Usability Evaluation of Nutrition Fact Label 营养成分标签的可用性评价

2018 3rd International Conference on Information Systems Engineering (ICISE) Pub Date : 2018-05-04 DOI: 10.1109/ICISE.2018.00011

Patama Juntakoon, A. Jiamsanguanwong

引用次数: 0

An Approach for Picking T-Shape Workpiece Based on Monocular Vision 基于单目视觉的t形工件拾取方法

2018 3rd International Conference on Information Systems Engineering (ICISE) Pub Date : 2018-05-04 DOI: 10.1109/ICISE.2018.00008

Mo Jinqiu, Zhu Tongshuai, Zhou Zhiyu

{"title":"An Approach for Picking T-Shape Workpiece Based on Monocular Vision","authors":"Mo Jinqiu, Zhu Tongshuai, Zhou Zhiyu","doi":"10.1109/ICISE.2018.00008","DOIUrl":"https://doi.org/10.1109/ICISE.2018.00008","url":null,"abstract":"An approach for acquiring the distribution of top workpieces of T-shape workpiece based on monocular vision is proposed in this article. Monocular vision is awfully sensitive to the variation of profile caused by factors such as shelter, reflection and shade when it is applied to sort T-shape workpieces. The real integrated distribution of top workpieces can not be detected efficiently by using the whole profile as template. Using face feature of T-shape workpiece as recognition template is introduced to improve recognition rate and robustness of top workpiece recognition. In addition, we introduce a method to sort authenticity of recognized workpieces based on degree of aggregation and representativeness of face feature, which provides priority reference for eliminating repeated recognition and misrecognition generated by recognition. Then unreal workpieces can be eliminated by volume overlap ratio according to rank of authenticity. Finally, a test is performed on 50 groups randomly stacked T-shape workpieces, which shows that the designed top workpiece recognition method is superior to the traditional integrated profile recognition method.","PeriodicalId":207897,"journal":{"name":"2018 3rd International Conference on Information Systems Engineering (ICISE)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130202104","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

Multi-authority Attribute-Based Encryption Access Control Scheme in Wireless Body Area Network 无线体域网络中基于多授权属性的加密访问控制方案

2018 3rd International Conference on Information Systems Engineering (ICISE) Pub Date : 2018-05-04 DOI: 10.1109/ICISE.2018.00015

Min Xiao, Xiao-chun Hu

引用次数: 1

The Effect of Relationship Structures on Cooperative Behaviors in a Cloud Manufacturing Environment 关系结构对云制造环境下合作行为的影响

2018 3rd International Conference on Information Systems Engineering (ICISE) Pub Date : 2018-05-04 DOI: 10.1109/ICISE.2018.00034

P. Lou, Zhewen Xu, Junwei Yan, Xiaomei Zhang, Jiwei Hu

{"title":"The Effect of Relationship Structures on Cooperative Behaviors in a Cloud Manufacturing Environment","authors":"P. Lou, Zhewen Xu, Junwei Yan, Xiaomei Zhang, Jiwei Hu","doi":"10.1109/ICISE.2018.00034","DOIUrl":"https://doi.org/10.1109/ICISE.2018.00034","url":null,"abstract":"With the advent and swift development of advanced network and information technology, various advanced manufacturing paradigms are rapidly emerged. A new kind of service-oriented network manufacturing paradigm, named Cloud Manufacturing (CMfg) is paid attraction by industries and academia. In this CMfg environment, the different kinds of manufacturing resources are encapsulated as manufacturing services (MSs), which are able to provide users with various machining/producing services and also can independently make decisions by themselves. Hence users can select different manufacturing services to help them finish their tasks together. In this paper, two different preferential selection mechanisms are used to select MSs, namely the local preferential and the global preferential selection. Therefore, there are two different relationship structures between tasks and MSs to be formed and a bipartite network is used to describe this relationship structures. For exploring the effect of the relationship structures on cooperative behaviors, the Stag Hunt game is used to describe their behavioral strategies in the processing of their repeated interactions. Lastly the agent-based modeling and simulating are used to analyze the cooperative behaviors of MSs in the process of repeated game with Repast. The simulating and analyzing result shows that different relationship structures are influenced on the emergence of cooperative behaviors in the CMfg environment.","PeriodicalId":207897,"journal":{"name":"2018 3rd International Conference on Information Systems Engineering (ICISE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124708854","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

Reversible Data Hiding Based on Medical Image Systems by Means of Histogram Strategy 基于直方图策略的医学图像系统可逆数据隐藏

2018 3rd International Conference on Information Systems Engineering (ICISE) Pub Date : 2018-05-04 DOI: 10.1109/ICISE.2018.00009

Min-Hao Wu, Jianyang Zhao, Bolun Chen, Yongjun Zhang, Yongtao Yu, Jianhong Cheng

{"title":"Reversible Data Hiding Based on Medical Image Systems by Means of Histogram Strategy","authors":"Min-Hao Wu, Jianyang Zhao, Bolun Chen, Yongjun Zhang, Yongtao Yu, Jianhong Cheng","doi":"10.1109/ICISE.2018.00009","DOIUrl":"https://doi.org/10.1109/ICISE.2018.00009","url":null,"abstract":"The privacy issue in health care application is more important. This paper presents an application in medical image for protecting patient information (called as a medical record). The reversible image-hiding scheme based on histogram shifting is mainly used for protecting medical record. In addition, we applied two parameters, linear predictor with non-uniform weight and threshold, to improve the performance in terms of medical image quality and embedding record ratio. The weight is adapted to improve the prediction accuracy, thus increasing confidential information embedded capacity. A threshold is used to determine image characteristics and avoid overflow or underflow problems. For image characteristic decisions, we choose a peak point and then, shifted right one unit for data concealing. Before the data hiding, our method will be also pre-process the underflow and overflow problems for the image in which the embedded medical record overflow occurred in the image and for the image generation has no salt and pepper effect. Experimental results show that our method is capable of providing a great embedding capacity without making noticeable distortion. In our method, using weight and threshold values can indeed increase the embedding capacity from histogram-based data hiding while retaining the image quality.","PeriodicalId":207897,"journal":{"name":"2018 3rd International Conference on Information Systems Engineering (ICISE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130623262","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 Survey on Source Code Review Using Machine Learning 关于使用机器学习进行源代码审查的调查

2018 3rd International Conference on Information Systems Engineering (ICISE) Pub Date : 2018-05-04 DOI: 10.1109/ICISE.2018.00018

Wang Xiaomeng, Zhang Tao, Xin Wei, Hou Changyu

{"title":"A Survey on Source Code Review Using Machine Learning","authors":"Wang Xiaomeng, Zhang Tao, Xin Wei, Hou Changyu","doi":"10.1109/ICISE.2018.00018","DOIUrl":"https://doi.org/10.1109/ICISE.2018.00018","url":null,"abstract":"Source code review constrains software system security sufficiently. Scalability and precision are of importance for the deployment of code review tools. However, traditional tools can only detect some security flaws automatically with high false positive and false negative by tedious reviewing large-scale source code. Various flaws and vulnerabilities show specific characteristic in source code. Machine learning systems founded feature matrixes of source code as input, including variables, functions and files, generating ad-hoc label by distinguish or generation methodologies to review source code automatically and intelligently. Source code, whatever the programming language, is text information in nature. Both secure and vulnerable feature can be curved from source code. Fortunately, a variety of machine learning approaches have been developed to learn and detect flaws and vulnerabilities in intelligent source code security review. Combination of code semantic and syntactic feature contribute to the optimation of false positive and false negative during source code review. In this paper, we give the review of literature related to intelligent source code security review using machine learning methods. It illustrate the primary evidence of approaching ML in source code security review. We believe machine learning and its branches will become out-standing in source code review.","PeriodicalId":207897,"journal":{"name":"2018 3rd International Conference on Information Systems Engineering (ICISE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132060849","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: 3