2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)最新文献_第8页

Super-resolution: Sparse dictionary design method using quantitative comparison 超分辨率:采用定量比较的稀疏字典设计方法

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2015-12-01 DOI: 10.1109/INTELCIS.2015.7397249

Marwa Moustafa, H. M. Ebeid, A. Helmy, Taymoor M. Nazamy, M. Tolba

引用次数: 2

MinCAR-Classifier for classifying lung cancer gene expression dataset 肺癌基因表达数据集的mincar分类器

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2015-12-01 DOI: 10.1109/INTELCIS.2015.7397211

Wael Zakaria, Y. Kotb, F. Ghaleb

引用次数: 1

The way of inductive formation of medical diagnostic knowledge bases 医学诊断知识库的归纳形成途径

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2015-12-01 DOI: 10.1109/INTELCIS.2015.7397277

A. Kleschev, S. Smagin

{"title":"The way of inductive formation of medical diagnostic knowledge bases","authors":"A. Kleschev, S. Smagin","doi":"10.1109/INTELCIS.2015.7397277","DOIUrl":"https://doi.org/10.1109/INTELCIS.2015.7397277","url":null,"abstract":"The paper provides an introduction into the area of inductive formation of knowledge bases. It presents traditional definitions of main problems in this area and highlights the current topical questions including the interpretability of the results. For solving of current problems in defined area the method of inductive formation of easily interpretable medical diagnostic knowledge bases is suggested. It includes the new definitions of classification and clustering problems for dependence models with parameters and the learning algorithm (solving mentioned problems in their new definitions) developed for the practically useful and easily interpretable mathematical dependence model with parameters which is a near real-life ontology of medical diagnostics (defined by a system of logical relationships with parameters). Also it includes the software package InForMedKB (INductive FORmation of MEDical Knowledge Bases) which implements above mentioned learning algorithm. InForMedKB allows to create training sets (consisting of clinical histories from various therapeutic areas) and to use them for inductive formation of medical diagnostic knowledge bases. These knowledge bases are presented in form accepted in the medical literature and contain descriptions of diseases (from specified therapeutic areas) as well as an explanation of these knowledge bases based on descriptions of clinical histories from used training sets. The formal representation of medical knowledge bases enables their usage for intelligent systems for medical diagnostics.","PeriodicalId":6478,"journal":{"name":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87803511","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

Accurate individualized therapeutic plans ontology based on evidence based medicine 基于循证医学的准确个体化治疗方案本体

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2015-12-01 DOI: 10.1109/INTELCIS.2015.7397208

Asmaa A. Alkhouly, A. Mancy, Khaled El-Bahnasy, M. AbdEl-Azeem

引用次数: 1

Evolutionary-based hybrid algorithm for 2D cutting stock problem 二维切料问题的进化混合算法

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2015-12-01 DOI: 10.1109/INTELCIS.2015.7397260

M. Fathy, M. Osama, M. El-Mahallawy

{"title":"Evolutionary-based hybrid algorithm for 2D cutting stock problem","authors":"M. Fathy, M. Osama, M. El-Mahallawy","doi":"10.1109/INTELCIS.2015.7397260","DOIUrl":"https://doi.org/10.1109/INTELCIS.2015.7397260","url":null,"abstract":"Cutting stock problem (CSP) affects cost of production and stock use efficiency in many industries. The majority of such industries handle stock of raw material in sheet form with the priority of waste reduction. Thus, in this paper we study the two-dimensional CSP (2-D CSP) with main goal of minimizing trim loss. Current approaches are primarily designed to deal with regular stock sheets only and do not handle irregular or defective sheets. That is why the problem is considered to be partially solved from an industrial stand point. In this paper, we introduce a novel algorithm for 2D CSP to minimize the waste and address the issue of defective and/or irregular stock sheets. The algorithm utilizes image processing, evolutionary-programming (EP), and Linear programming (LP) to form a practical solution. Detection & Isolation of sheets' defects and conversion of irregular sheets to regular is accomplished by image processing. Further processing is done by the remaining techniques to efficiently minimize the waste. Experimental results show that the proposed algorithm succeeds in achieving lower waste values compared to conventional EP algorithms.","PeriodicalId":6478,"journal":{"name":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85633665","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 novel energy efficient vice Cluster Head routing protocol in Wireless Sensor Networks 无线传感器网络中一种新型节能副簇头路由协议

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2015-12-01 DOI: 10.1109/INTELCIS.2015.7397240

Tawfik Abdel Hakam Hassan, G. Selim, R. Sadek

{"title":"A novel energy efficient vice Cluster Head routing protocol in Wireless Sensor Networks","authors":"Tawfik Abdel Hakam Hassan, G. Selim, R. Sadek","doi":"10.1109/INTELCIS.2015.7397240","DOIUrl":"https://doi.org/10.1109/INTELCIS.2015.7397240","url":null,"abstract":"In Wireless Sensor Networks (WSN) with a clustered hierarchical structure, Cluster-Head (CH) nodes are considered the interface between the leaf normal sensors and the Base Station (BS). The energy dissipation of the sensors, whatever their type, can be optimized by a load balancing in the packet TX/RX process in order to prolong the network lifetime and minimize the advertisement phase time for cluster head selection in each round of the LEACH-C protocol. This paper proposes a routing protocol for LEACH_C WSN in which the system lifetime can be extended by assigning a vice cluster head (VCH) to each of the CHs. Unlike other different VCH based protocols, the assigned VCH doest not remain in the idle state and receive its responsibility by the death of the CH, rather the VCH shares the TX/RX load with its CH in order to balance the load distribution, shortly after the death of the CH a VCH is fully loaded until a new VCH receives the TX load. The simulation results confirm that the theoretically expected results. The functionality of the proposed protocol is tested under different simulation conditions such as the size of the WSN field and the results of simulation prove that the proposed protocol prolongs the network lifetime as expected.","PeriodicalId":6478,"journal":{"name":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84824082","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: 9

Ranking of news items in rule-stringent social media based on users' importance: A social computing approach 基于用户重要性的严格规则的社交媒体新闻项目排名:一种社会计算方法

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2015-12-01 DOI: 10.1109/INTELCIS.2015.7397269

K. Ntalianis, Abdel-badeeh M. Salem

引用次数: 2

Text document annotation methods: Stat of art 文本文档注释方法:Stat of art

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2015-12-01 DOI: 10.1109/INTELCIS.2015.7397289

I. Ismail, Walaa K. Gad, M. Hamdy, Khaled Bahnsy

引用次数: 1

A business intelligent technique for sentiment estimation by management sectors 一种用于管理部门情绪估计的商业智能技术

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2015-12-01 DOI: 10.1109/INTELCIS.2015.7397247

S. Rady

引用次数: 1

A semantic-web-based decision support system for stakeholders of specific degree programs 基于语义的特定学位项目利益相关者决策支持系统

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2015-12-01 DOI: 10.1109/INTELCIS.2015.7397280

Vera G. Meister

引用次数: 1