Pub Date : 2016-10-01DOI: 10.1109/ICAICT.2016.7991718
V. Panteleev, V. Kamaev, A. Kizim, A. Matokhina
This report examines the issues of improving the efficiency of use of available funds for the maintenance and repair of equipment, reducing the burden on the staff. We have investigated and analyzed the process of repair and maintenance of a service company. We have defined basic models and its set of functions. This work is based on agent-based approach to simulate MRO process. Logical and conceptual models of multi-agent systems of MRO process have been developed.
{"title":"Using of multi-agent system to model a process of maintenance service and repair of equipment of a service company","authors":"V. Panteleev, V. Kamaev, A. Kizim, A. Matokhina","doi":"10.1109/ICAICT.2016.7991718","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991718","url":null,"abstract":"This report examines the issues of improving the efficiency of use of available funds for the maintenance and repair of equipment, reducing the burden on the staff. We have investigated and analyzed the process of repair and maintenance of a service company. We have defined basic models and its set of functions. This work is based on agent-based approach to simulate MRO process. Logical and conceptual models of multi-agent systems of MRO process have been developed.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121495944","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}
Pub Date : 2016-10-01DOI: 10.1109/ICAICT.2016.7991686
R. Alguliyev, R. Aliguliyev, Nijat R. Isazade
In paper text summarization represented as a sentence scoring and selection process. The process is modeled as a multi-objective optimization problem. The proposed model attempts to find balance between coverage and redundancy in a summary. For solving the optimization problem a human learning optimization algorithm is utilized.
{"title":"A sentence selection model and HLO algorithm for extractive text summarization","authors":"R. Alguliyev, R. Aliguliyev, Nijat R. Isazade","doi":"10.1109/ICAICT.2016.7991686","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991686","url":null,"abstract":"In paper text summarization represented as a sentence scoring and selection process. The process is modeled as a multi-objective optimization problem. The proposed model attempts to find balance between coverage and redundancy in a summary. For solving the optimization problem a human learning optimization algorithm is utilized.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116144479","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}
Regular increase of database volume in corporate information systems (CIS) provides great opportunity to investigate relation among different type and find out hidden correlation. This is very important factor in order to develop strategic plans and dive correct decisions. In this article the implementation of Business Intelligence analytic information system to the reporting and query methodology to the CIS database were analyzed. Furthermore discovering of hidden information and there processing by fuzzy-logic were also investigated.
{"title":"Analyze of results of implementation of fuzzy-queries and mathematical structure of the relational database in corporate information systems","authors":"Kenan Kilic Suleyman, Nuray Kilic Bilal, Tarlan Abdullayev Samad, Anar Rustemov Murshud","doi":"10.1109/ICAICT.2016.7991777","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991777","url":null,"abstract":"Regular increase of database volume in corporate information systems (CIS) provides great opportunity to investigate relation among different type and find out hidden correlation. This is very important factor in order to develop strategic plans and dive correct decisions. In this article the implementation of Business Intelligence analytic information system to the reporting and query methodology to the CIS database were analyzed. Furthermore discovering of hidden information and there processing by fuzzy-logic were also investigated.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130650922","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}
Pub Date : 2016-10-01DOI: 10.1109/ICAICT.2016.7991773
E. Nasibov, Alper Vahaplar, Murat Demir, B. Okur
Online marketing has been showed dramatic increase related with the usage proportion of internet. Availability of wide range of products and comparing different brands and products with just a few click, makes online marketing even more desirable. Apparel is one of the product group that physical experience directly affect consumer buying behavior. On the other hand, return of online purchased apparel cause extra cost and time for suppliers and consumers. Size of apparels may differ based on brands and lead consumer in confusion. In this study, we aimed to compare measurements of the consumer and the product regardless of brands' size using with fuzzy approaching manner and concluded with a fitness ratio in terms of fuzzy numbers. By this way, online shoppers will be able to find best fitted products for their body measurements in each brand.
{"title":"A fuzzy logic Approach to predict the best fitted apparel size in online marketing","authors":"E. Nasibov, Alper Vahaplar, Murat Demir, B. Okur","doi":"10.1109/ICAICT.2016.7991773","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991773","url":null,"abstract":"Online marketing has been showed dramatic increase related with the usage proportion of internet. Availability of wide range of products and comparing different brands and products with just a few click, makes online marketing even more desirable. Apparel is one of the product group that physical experience directly affect consumer buying behavior. On the other hand, return of online purchased apparel cause extra cost and time for suppliers and consumers. Size of apparels may differ based on brands and lead consumer in confusion. In this study, we aimed to compare measurements of the consumer and the product regardless of brands' size using with fuzzy approaching manner and concluded with a fitness ratio in terms of fuzzy numbers. By this way, online shoppers will be able to find best fitted products for their body measurements in each brand.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133927190","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}
Pub Date : 2016-10-01DOI: 10.1109/ICAICT.2016.7991831
I. Bolodurina, D. Parfenov
Data centers are widely used for the placement of highly loaded applications and solutions used to process large amounts of data (Big Data). The study developed a model of cloud application and services. The novelty of this model is the use of methods of intellectual analysis and prediction of dynamic characteristics in the study of multicomponent systems. In order to provide flexibility built models used agent-oriented programming. Plurality objects of data center modeled as agents. Each node in this case is an platform of agents, which controls other agents. Agents that act as data resources for cloud applications and cloud services. A distinctive feature of the proposed model is a set of individual parameters needed to perform tasks. It formalizing reflected in the quality of service compliance requirements as part of resource characteristics.
{"title":"Investigation of algorithms and models of optimization of cloud applications and services in virtual infrastructure of data center","authors":"I. Bolodurina, D. Parfenov","doi":"10.1109/ICAICT.2016.7991831","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991831","url":null,"abstract":"Data centers are widely used for the placement of highly loaded applications and solutions used to process large amounts of data (Big Data). The study developed a model of cloud application and services. The novelty of this model is the use of methods of intellectual analysis and prediction of dynamic characteristics in the study of multicomponent systems. In order to provide flexibility built models used agent-oriented programming. Plurality objects of data center modeled as agents. Each node in this case is an platform of agents, which controls other agents. Agents that act as data resources for cloud applications and cloud services. A distinctive feature of the proposed model is a set of individual parameters needed to perform tasks. It formalizing reflected in the quality of service compliance requirements as part of resource characteristics.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131374307","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}
Pub Date : 2016-10-01DOI: 10.1109/ICAICT.2016.7991750
E. Melnik, A. Klimenko
This paper is devoted to the informational and control systems (ICSs) configuration generation problem. A set of configurations for the ICSs with performance redundancy is developed on system design stage. The problem is multicriteria with respect to key ICS design issues, including graceful system degradation, tasks relocation, etc. Within this paper the load-balancing criterion is added due to its influence onto the gamma-percentile operating time to failure. Then the solutions of the resulting multiobjective problem are evaluated and compared, and some conclusions are made.
{"title":"Informational and control system configuration generation problem with load-balancing optimization","authors":"E. Melnik, A. Klimenko","doi":"10.1109/ICAICT.2016.7991750","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991750","url":null,"abstract":"This paper is devoted to the informational and control systems (ICSs) configuration generation problem. A set of configurations for the ICSs with performance redundancy is developed on system design stage. The problem is multicriteria with respect to key ICS design issues, including graceful system degradation, tasks relocation, etc. Within this paper the load-balancing criterion is added due to its influence onto the gamma-percentile operating time to failure. Then the solutions of the resulting multiobjective problem are evaluated and compared, and some conclusions are made.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131751971","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}
Pub Date : 2016-10-01DOI: 10.1109/ICAICT.2016.7991672
A. Semenova, V. Kureychik
In computer science design and implementation of high-tech areas in the modern society is accompanied by increasing the role of ontological knowledge base. Accumulation of shared ontologies is seen as a mechanism of unlimited knowledge acquisition about the world. However, the problem of integration, matching and alignment of ontologies is not solved yet. The problem of ontology alignment is to find such a structure and permissible parameters that provide the optimal values for one or more quality criteria. It should be noted that today there are many methods to compute the similarity between two discrete elements of different ontologies. Integration of up-to-date similarity computation techniques allows obtaining a versatile and accurate result. One of approach is based on the weights. Typically, the weights are assigned manually or by specific approaches. The main shortcoming of existing approaches is the lack of optimality. This article proposes a new combined approach for ontology alignment based on Latent Semantic Indexing and multi-objective particle swarm optimization method. For objective functions two criteria were chosen: the accuracy and recall. To obtain an optimal population the method of local search was employed to replace the worst of the population in the new generation. Experimental research of the suggested approach confirms the effectiveness of it.
{"title":"Multi-objective particle swarm optimization for ontology alignment","authors":"A. Semenova, V. Kureychik","doi":"10.1109/ICAICT.2016.7991672","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991672","url":null,"abstract":"In computer science design and implementation of high-tech areas in the modern society is accompanied by increasing the role of ontological knowledge base. Accumulation of shared ontologies is seen as a mechanism of unlimited knowledge acquisition about the world. However, the problem of integration, matching and alignment of ontologies is not solved yet. The problem of ontology alignment is to find such a structure and permissible parameters that provide the optimal values for one or more quality criteria. It should be noted that today there are many methods to compute the similarity between two discrete elements of different ontologies. Integration of up-to-date similarity computation techniques allows obtaining a versatile and accurate result. One of approach is based on the weights. Typically, the weights are assigned manually or by specific approaches. The main shortcoming of existing approaches is the lack of optimality. This article proposes a new combined approach for ontology alignment based on Latent Semantic Indexing and multi-objective particle swarm optimization method. For objective functions two criteria were chosen: the accuracy and recall. To obtain an optimal population the method of local search was employed to replace the worst of the population in the new generation. Experimental research of the suggested approach confirms the effectiveness of it.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132200608","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}
Pub Date : 2016-10-01DOI: 10.1109/ICAICT.2016.7991812
Suleyman Uslu, C. Ozturan, Mehmet Fatih Uslu
Every semester, university students need to decide their course programs, and as the number of course offerings increase, it becomes challenge to form a schedule for the semester courses to be taken. In addition, students might have difficulty in finding courses that can match their schedules and course preferences. In order to address these problems, we build Mecanin, an online platform for Boğaziçi University students that provides an optimum schedule and course recommendation tools. In this paper, we propose an integer programming model to optimize course programs and also a recommendation algorithm to suggest courses to students. Both algorithms are tested and compared, and the results are presented.
{"title":"Course scheduler and recommendation system for students","authors":"Suleyman Uslu, C. Ozturan, Mehmet Fatih Uslu","doi":"10.1109/ICAICT.2016.7991812","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991812","url":null,"abstract":"Every semester, university students need to decide their course programs, and as the number of course offerings increase, it becomes challenge to form a schedule for the semester courses to be taken. In addition, students might have difficulty in finding courses that can match their schedules and course preferences. In order to address these problems, we build Mecanin, an online platform for Boğaziçi University students that provides an optimum schedule and course recommendation tools. In this paper, we propose an integer programming model to optimize course programs and also a recommendation algorithm to suggest courses to students. Both algorithms are tested and compared, and the results are presented.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124225418","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}
Pub Date : 2016-10-01DOI: 10.1109/ICAICT.2016.7991670
A. Korobko, L. Nozhenkova
Internet is a rich source of information, but it consists of miscellaneous data fragments. Analytical “surfing” on World Wide Web opens extraordinary prospects for attain and maintain competitive advantage of enterprises and for scientific researches. Exploratory OLAP is one of the main agenda of analytical processing of heterogeneous data sources. The author proposes an original approach to exploratory OLAP based on virtual data consolidation (without physical gathering) based on conceptual analytic model in multidimensional terms. The algorithm of discovering multidimensional concepts in normalized relational data sources based on functional dependencies analysis is represented.
{"title":"Ordered multidimensional model construction of relational source for integral OLAP-modeling","authors":"A. Korobko, L. Nozhenkova","doi":"10.1109/ICAICT.2016.7991670","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991670","url":null,"abstract":"Internet is a rich source of information, but it consists of miscellaneous data fragments. Analytical “surfing” on World Wide Web opens extraordinary prospects for attain and maintain competitive advantage of enterprises and for scientific researches. Exploratory OLAP is one of the main agenda of analytical processing of heterogeneous data sources. The author proposes an original approach to exploratory OLAP based on virtual data consolidation (without physical gathering) based on conceptual analytic model in multidimensional terms. The algorithm of discovering multidimensional concepts in normalized relational data sources based on functional dependencies analysis is represented.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116441631","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}
Pub Date : 2016-10-01DOI: 10.1109/ICAICT.2016.7991720
N. Allakhverdiyeva
Digital Signal Processing is an advanced technology that will determine the direction of science and technology in the next centuries. One of the main direction of digital signals processing is digital filters, which in the most cases have advantages over analog filters. Currently there are various methods of filter analysis and design. In this work, for synthesis of all types of recursive filters (low pass, high pass, bandwidth, band stop) is used a neural network. The main objective of filter synthesis is to find the filter coefficients. These filter coefficients define the filter transfer function. Using an iterative procedure of the neural network such as Backpropagation algorithm, on base of Visual C++ software was developed the program, which designs recursive filters with required characteristics. This is particularly important for the designing of the new correcting filters characteristics, the purpose of which is to reduce the unwanted noises in the measurement signal.
{"title":"Application of neural network for digital recursive filter design","authors":"N. Allakhverdiyeva","doi":"10.1109/ICAICT.2016.7991720","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991720","url":null,"abstract":"Digital Signal Processing is an advanced technology that will determine the direction of science and technology in the next centuries. One of the main direction of digital signals processing is digital filters, which in the most cases have advantages over analog filters. Currently there are various methods of filter analysis and design. In this work, for synthesis of all types of recursive filters (low pass, high pass, bandwidth, band stop) is used a neural network. The main objective of filter synthesis is to find the filter coefficients. These filter coefficients define the filter transfer function. Using an iterative procedure of the neural network such as Backpropagation algorithm, on base of Visual C++ software was developed the program, which designs recursive filters with required characteristics. This is particularly important for the designing of the new correcting filters characteristics, the purpose of which is to reduce the unwanted noises in the measurement signal.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116469177","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}
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