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2015 SAI Intelligent Systems Conference (IntelliSys)最新文献

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Rule-based monitoring and error detecting for converged telecommunication processes 融合电信过程中基于规则的监控和错误检测
2015 SAI Intelligent Systems Conference (IntelliSys) Pub Date : 2015-12-21 DOI: 10.1109/INTELLISYS.2015.7361218
Armando Ordóñez, L. Eraso, P. Falcarin
{"title":"Rule-based monitoring and error detecting for converged telecommunication processes","authors":"Armando Ordóñez, L. Eraso, P. Falcarin","doi":"10.1109/INTELLISYS.2015.7361218","DOIUrl":"https://doi.org/10.1109/INTELLISYS.2015.7361218","url":null,"abstract":"Convergent process may be defined as a composition of services which integrates functionalities from Web and Telecommunication domains. However, during execution of convergent processes some services may fail; in such cases a reconfiguration process must be triggered to recover normal behaviour of composite process. Previous works have developed mechanisms for reducing reconfiguration time while initial restrictions are maintained; this is achieved by replacing regions of services instead of individual services. The present work presents an approach for monitoring and error detecting in convergent processes using rule production systems based on ITIL model. The approach was tested in the monitoring module of the AUTO framework, whose architecture and performance are discussed to show that this approach can efficiently detect errors and repair convergent processes in telecom environments.","PeriodicalId":121474,"journal":{"name":"2015 SAI Intelligent Systems Conference (IntelliSys)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124089553","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: 2
Agent based modeling of development of Russian federation higher education system 基于Agent的俄罗斯联邦高等教育系统发展建模
2015 SAI Intelligent Systems Conference (IntelliSys) Pub Date : 2015-12-21 DOI: 10.1109/INTELLISYS.2015.7361242
Y. Morozova
{"title":"Agent based modeling of development of Russian federation higher education system","authors":"Y. Morozova","doi":"10.1109/INTELLISYS.2015.7361242","DOIUrl":"https://doi.org/10.1109/INTELLISYS.2015.7361242","url":null,"abstract":"The research concerns issues on simulation modeling of Russian Federation higher education system considering its interaction with macroeconomic and demographic factors. The proposed range of simulation models of higher education system is developed using agent-based modeling and system dynamics methods. The range of models allows strategic planning of development of Russian Federation higher education system.","PeriodicalId":121474,"journal":{"name":"2015 SAI Intelligent Systems Conference (IntelliSys)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132876197","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
Big data: Mathematical topology video data analytics using superimposed learning 大数据:使用叠加学习的数学拓扑视频数据分析
2015 SAI Intelligent Systems Conference (IntelliSys) Pub Date : 2015-12-21 DOI: 10.1109/INTELLISYS.2015.7361136
Mazhar Hameed, Hiba Khalid, F. Azam
{"title":"Big data: Mathematical topology video data analytics using superimposed learning","authors":"Mazhar Hameed, Hiba Khalid, F. Azam","doi":"10.1109/INTELLISYS.2015.7361136","DOIUrl":"https://doi.org/10.1109/INTELLISYS.2015.7361136","url":null,"abstract":"The amount of data being processed and the relational context associated with it are crucial to understand and complex to handle. The type of data is not also confined to traditional text or pictures. Data and its needs have transformed it into different categories. One category under the lime light these days is video analytics. There are many techniques for solving issues related to storing; retrieving and processing. Video content is the growing market for both big data analysis and for business intelligence. The business analytics are using video content and information to generate new specifics for marketing and sales. The research is however mainly focused on analyzing algorithm for deciding the relation between texts associated with video, the content a video holds and how this unstructured data of videos can be used for managing as well as storing videos in an efficient and cost effective manner. Topological analysis and learning on top of topology can help improve storage, retrieval and other aspects of extracting information from the constructed data shape. The paper proposes an analytical solution to analysis and storage of big data of you tube videos based on content and associated tags, text and relevance.","PeriodicalId":121474,"journal":{"name":"2015 SAI Intelligent Systems Conference (IntelliSys)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126314918","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 niche technique to manage innovation projects in ITES 在ITES中管理创新项目的利基技术
2015 SAI Intelligent Systems Conference (IntelliSys) Pub Date : 2015-12-21 DOI: 10.1109/INTELLISYS.2015.7361088
J. Katyayani, V.Pinaka Pani
{"title":"A niche technique to manage innovation projects in ITES","authors":"J. Katyayani, V.Pinaka Pani","doi":"10.1109/INTELLISYS.2015.7361088","DOIUrl":"https://doi.org/10.1109/INTELLISYS.2015.7361088","url":null,"abstract":"The paper deals with a non-linear relationship between 3 groups of factors and one dependent variable, namely the success of innovation management of projects. A framework is created using the technique of fuzzy logic using Neural Networks and multi perceptron method. The three groups of 17 factors each are used for business users, management personnel and technical personnel, respectively. Neural Network learning procedure is applied with the help of multi perceptron back-propagating algorithm to minimize the error and a predictive model is built. Cross-validation 80:20 is used. The model shows relatively good properties both in fitting and prediction.","PeriodicalId":121474,"journal":{"name":"2015 SAI Intelligent Systems Conference (IntelliSys)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131582703","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
Agent based modeling of pension system development processes 基于Agent的养老金体系开发过程建模
2015 SAI Intelligent Systems Conference (IntelliSys) Pub Date : 2015-12-21 DOI: 10.1109/INTELLISYS.2015.7361243
Natalia N. Lychkina, Y. Morozova
{"title":"Agent based modeling of pension system development processes","authors":"Natalia N. Lychkina, Y. Morozova","doi":"10.1109/INTELLISYS.2015.7361243","DOIUrl":"https://doi.org/10.1109/INTELLISYS.2015.7361243","url":null,"abstract":"The article deals with the set of simulation models of the pension system of the Russian Federation designed to support government decision-making in the pension field. The set of models is realized on the basis of the composite combination of methods of system dynamics and agent-based modeling and allows you to explore the dynamics of developmental processes in complex social and economic systems, including the cyclic transitions between individual and group behavior of economic and social agents at the micro-level and the basic processes of social and economic system at the macro-level. Stratification of socio-economic system is proposed as a tool of the ontological domain modeling. The stratified description of the pension system is formed as an example. Described agent-based models of social and economic behavior of insured persons with regard to the choice of the method of forming pension and individual pension policies allows you to explore self-organizing processes at the micro-level of the pension system.","PeriodicalId":121474,"journal":{"name":"2015 SAI Intelligent Systems Conference (IntelliSys)","volume":"2023 187","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120977009","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: 5
Computer forensics-digitized science 计算机取证——数字化科学
2015 SAI Intelligent Systems Conference (IntelliSys) Pub Date : 2015-12-21 DOI: 10.1109/INTELLISYS.2015.7361269
P. Bahadur, Divakar Yadav
{"title":"Computer forensics-digitized science","authors":"P. Bahadur, Divakar Yadav","doi":"10.1109/INTELLISYS.2015.7361269","DOIUrl":"https://doi.org/10.1109/INTELLISYS.2015.7361269","url":null,"abstract":"In today's era `Digital' is a house hold name. As some way or the other technology is part of our lives. Digital media can be seen as the live example of the same. Digitization is in the air. It is peeping in our lives up to so much of extent that even if anything goes wrong we can rebuild the scene and investigate, what went wrong. While investigation we have to check, whether the crime has taken place through some digital media or crime has taken place and now digital media is used to build up the scene of crime and evidences. In this paper, we have discussed the computer forensics life cycle and a very much capable tool to investigate the digital media-Hex Editor.","PeriodicalId":121474,"journal":{"name":"2015 SAI Intelligent Systems Conference (IntelliSys)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114679634","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
Effect of influential users on recommendation 有影响力的用户对推荐的影响
2015 SAI Intelligent Systems Conference (IntelliSys) Pub Date : 2015-12-21 DOI: 10.1109/INTELLISYS.2015.7361221
Eseosa Oshodin, F. Chiclana
{"title":"Effect of influential users on recommendation","authors":"Eseosa Oshodin, F. Chiclana","doi":"10.1109/INTELLISYS.2015.7361221","DOIUrl":"https://doi.org/10.1109/INTELLISYS.2015.7361221","url":null,"abstract":"Relevant information stored in boundless pool of data source are required for the recommendation provided for users in recommender systems. Current recommender systems still suffer from inaccurate or erroneous predictions for users. This may be due to lack of consensus between users who provide different opinions on items after purchase. However, it is possible that this problem might be due to the users having no/few knowledge on the items or they might have had diverse reasons for previous purchase of the items. Therefore, they decide to either provide untruthful opinions on the items or to not even provide their opinions on the items. This demo paper presents a proposed approach to recommendation, where trust information from the social network can be used to motivate or influence users to contribute their opinions for future recommendation. A new trust metric based on trust features such as familiarity and experience value will be used to identify influential users who will control information flow and motivate the members in their community.","PeriodicalId":121474,"journal":{"name":"2015 SAI Intelligent Systems Conference (IntelliSys)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114871646","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
How to select web services intelligently on the basis of a Brain inspired method for solving fuzzy multi-criteria decision making problems 如何在Brain启发方法的基础上智能地选择web服务来解决模糊多准则决策问题
2015 SAI Intelligent Systems Conference (IntelliSys) Pub Date : 2015-12-21 DOI: 10.1109/INTELLISYS.2015.7361137
Mohamed Naili, Abdelhak Boubetra, A. Tari
{"title":"How to select web services intelligently on the basis of a Brain inspired method for solving fuzzy multi-criteria decision making problems","authors":"Mohamed Naili, Abdelhak Boubetra, A. Tari","doi":"10.1109/INTELLISYS.2015.7361137","DOIUrl":"https://doi.org/10.1109/INTELLISYS.2015.7361137","url":null,"abstract":"As one of the major issues of the Brain informatics research field, decision making-centric investigations of the human information processing system (HIPS) represents a very important research subject, which focuses on proposing new methods to deal with intriguing Web Intelligence problems such as the Web service selection. In this work, we present an application of the Brain inspired method for solving fuzzy multi-criteria decision making problems (BIFMCDM) in the Web services selection process in case of fuzzy evaluations of the criteria' weights and of the alternatives' scores as well. As a case study; the ranking problem of three Web Services with respect to five criteria and four decision makers will be tackled. As results of this study, the BIFMCDM method has shown very interesting capabilities in processing fuzziness of the input data set in comparison with the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS).","PeriodicalId":121474,"journal":{"name":"2015 SAI Intelligent Systems Conference (IntelliSys)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114636935","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
A feature reduction framework based on rough set for biomedical data sets 基于粗糙集的生物医学数据集特征约简框架
2015 SAI Intelligent Systems Conference (IntelliSys) Pub Date : 2015-12-21 DOI: 10.1109/INTELLISYS.2015.7361165
Syed Hasnain Ali, Usman Qamar, M. Guftar, A. W. Muzaffar
{"title":"A feature reduction framework based on rough set for biomedical data sets","authors":"Syed Hasnain Ali, Usman Qamar, M. Guftar, A. W. Muzaffar","doi":"10.1109/INTELLISYS.2015.7361165","DOIUrl":"https://doi.org/10.1109/INTELLISYS.2015.7361165","url":null,"abstract":"Feature selection reduces a data set into a subset which also represents the entire data with less computational complexity and performance does not affect much. However, to extract such a subset is a nontrivial task, although there are a number of methods to handle this problem. In the near past an approach based on rough set has been used for feature selection. The dependency measure is one of the ways to find out the minimal feature subset, called Reducts, from the entire dataset. One of the mature areas of feature reduction is the techniques based on rough set theory, which totally depends on the concept of sets and mathematical formulas. We have conducted experiments using different publicly available datasets from UCI repository and real data sets developed from patient report. A framework is devised using different rough set based algorithms, it has been observed that after reduction of attributes our results improved in terms of time complexity while a negligible effect is seen on the other measures. We measured the performance of our framework using precision, recall, accuracy and F-measure.","PeriodicalId":121474,"journal":{"name":"2015 SAI Intelligent Systems Conference (IntelliSys)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121449398","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
Real time astrocyte in spiking neural network 脉冲神经网络中的实时星形胶质细胞
2015 SAI Intelligent Systems Conference (IntelliSys) Pub Date : 2015-12-21 DOI: 10.1109/INTELLISYS.2015.7361196
Bassam Abdul-Rahman Abed, A. R. Ismail, Normaziah Abdul Aziz
{"title":"Real time astrocyte in spiking neural network","authors":"Bassam Abdul-Rahman Abed, A. R. Ismail, Normaziah Abdul Aziz","doi":"10.1109/INTELLISYS.2015.7361196","DOIUrl":"https://doi.org/10.1109/INTELLISYS.2015.7361196","url":null,"abstract":"Astrocytes, one type of glial cells, are considered to be an active partner to neurons in processing information of Central Nervous System (CNS). Therefore, studying the interaction between the astrocytes and neurons is important to create a novel model for Artificial Neuron-Glial Networks (ANGN). In this paper, a novel model for (ANGN) is proposed to model the real time interaction between Astrocytes and neurons by using Spiking Neural Networks (SNNs) and mathematical models for astrocyte-neuron interaction. How could this proposed model will be biologically inspired to model the real time interaction between astrocytes and neurons and to improve the performance of the SNN? However, these mathematical models are generalized and simplified to be used in the proposed network. The performance of the proposed network was compared with standard SNN and the simulation results showed that the proposed model evoked more spikes to fire whenever astrocytes were activating in a time window. This indicates that astrocytes are playing significant roles in processing information of the ANGN.","PeriodicalId":121474,"journal":{"name":"2015 SAI Intelligent Systems Conference (IntelliSys)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114476852","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
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