O. Kolesnichenko, Gennady Smorodin, D. Yakovleva, L. Mazelis, O. Zhurenkov, Yuriy Kolesnichenko
{"title":"Text Big Data Analytics: Exploring API opportunity: Internet as global storage — how to get the situation awareness from dark data","authors":"O. Kolesnichenko, Gennady Smorodin, D. Yakovleva, L. Mazelis, O. Zhurenkov, Yuriy Kolesnichenko","doi":"10.1109/ICAICT.2016.7991649","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991649","url":null,"abstract":"Text Big Data Analytics Study «Third Wave» is described. Morphological matrix of several Keywords Phrases was collected from Internet's open textual resources using API. The results are analyzed from the point of view that global Internet's audience forms «people-to-IT» system through that we can study the three levels of behaviour of Global society. Level 1 — countries' activity on the Internet. Level 2 — technological evolution in countries. Level 3 — countries' reaction to destructive stress factors. Cluster analysis was used for investigation of Level 1. Simon Wardley's Value Chain Map was used for investigation of Level 2. And diagrams with percentage ratio of different sets of Keywords Phrases were used for investigation of Level 3. Article is focused on regions of Eurasia and North Africa. The Study findings are following: among post-Soviet countries Russia shows the highest activity on Internet and has advantages of economic development, as well as Georgia; Azerbaijan among some countries from Eurasia and North Africa shows the lowest risk to become fragile country under Global warming.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"43 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":"123198793","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}
Y. Baiburin, Zheniskul Zhantassova, A. Nugumanova, Aigul Syzdykpayeva, I. Bessmertny
{"title":"The case study approach to learning Text Mining","authors":"Y. Baiburin, Zheniskul Zhantassova, A. Nugumanova, Aigul Syzdykpayeva, I. Bessmertny","doi":"10.1109/ICAICT.2016.7991828","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991828","url":null,"abstract":"In this paper we discuss the case study approach to learning Text Mining techniques. We propose a novel framework that supports case-based learning and implements the SMART-goal setting methodology.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"10 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":"115524633","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}
V. Antonova, N. Kuznetsov, D. Volkov, A. Starostenko
{"title":"Math modeling of passenger traffic in the monorail transport system","authors":"V. Antonova, N. Kuznetsov, D. Volkov, A. Starostenko","doi":"10.1109/ICAICT.2016.7991660","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991660","url":null,"abstract":"The paper is devoted to simulation of passenger transportation of monorails. Probability distribution model of passenger traffic is considered, on the basis of which the input and output passenger traffic in the stations is generated and used for simulation of passenger transportation. As a result, we obtain the estimates of parameters of transport system for determination of the necessary transportation capacity.","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":"125663662","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}
{"title":"A distributed particle filter for acustic target tracking in wireless sensor networks","authors":"Faroogh Ashkooti, Rahim Rashidy","doi":"10.1109/ICAICT.2016.7991754","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991754","url":null,"abstract":"One of the applications of wireless sensor networks is target tracking. There are several methods to target tracking and among these methods, particle filter has high capability in solving nonlinear/non-Gaussian systems. Particle filter is one of the methods for Bayesian recursive estimation for position estimation in wireless sensor networks. Clustered management of dense networks is a famous known method and has many benefits in comparison with other management schemes of sensor nodes. In this paper we designed a new distributed version of particle filtering which is more compatible with dynamic clustering of nodes. Our method decrease the processing overhead of sensor nodes and output results are more accurate than current distributed versions of particle filtering in target tracking applications.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"118 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":"123689504","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}
{"title":"The subject-oriented notation for end-user data modelling","authors":"S. Kucherov, Y. Rogozov, A. Sviridov","doi":"10.1109/ICAICT.2016.7991719","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991719","url":null,"abstract":"Existing data modeling notations and methods of database development are dedicated to technicians. At the same time, there is a tendency to involve the end-user in the development process. This requires the creation of new modeling notations and development methods for databases area. These tools should be understandable both to end-users and to developers. Because of unified understanding, it is possible to consider the action of the subject (end-user) as a basis of such modelling and designing tools. Subject's action describes the process of creating domain concepts with which end-users are working and which developers should implement in an information system. The paper proposes a subject-oriented data model and its modeling notation, which are devoted to the end user. Minimizing of graphic primitives quantity and universalization of modeling tools are results of using both the unified structure of action mechanism and its variable content.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"272 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":"114277798","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}
{"title":"Semi-automatic annotation tool for sign languages","authors":"K. Aitpayev, Shynggys Islam, A. Imashev","doi":"10.1109/ICAICT.2016.7991803","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991803","url":null,"abstract":"The goal of this work is to automatically annotate manual and some non-manual features of sign language in video. To achieve this we examine two techniques one using depth camera Microsoft Kinect 2.0 and second using simple RGB mono camera. In this work, we describe strength and weaknesses of both approaches. Finally, we propose the semi-automatic web-based annotation tool based on second technique, which uses hand and face movement detection algorithms. Furthermore, proposed algorithm could be used not only for annotating clean training data, but also for automatic sign language recognition, as it is works in real time and quite robust to variability in intensity and background. Results are presented in our corpus1 with free access.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"8 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":"114390219","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}
{"title":"VLSI elements placement based on simulation of bats behavior in nature","authors":"E. Kuliev, A. Lezhebokov, Y. Kravchenko","doi":"10.1109/ICAICT.2016.7991680","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991680","url":null,"abstract":"The paper deals with NP-hard optimization problems with the use of behavioral foundations of subject in nature. Swarm intelligent methods and algorithms are the most promising ones. Suggested algorithm is based on the simulation of bats' behavior. The authors concern a behavioral model of a bat — it moves within search space for the purpose of finding quasi-optimal solutions. Also there are represented approaches to adjust control parameters of the algorithm (frequency, amplitude, direction of movement). On the basis of bat's behavior a schematic diagram is developed. Initial search space are formed by sequential, random and iterative algorithms. To confirm theoretical estimations of time complexity and effectiveness of the developed algorithm computational experiments are carried out.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"35 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":"114460487","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}
{"title":"Comparative analysis of strategies and trends shaping the information economy of Azerbaijan with leading countries","authors":"A. Aliyev, R. Shahverdiyeva, V. A. Abbasova","doi":"10.1109/ICAICT.2016.7991788","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991788","url":null,"abstract":"Here is information economy development trends in leading foreign countries are analyzed. Formation of information economy experience has been summarized in the case of the U.S., South Korea, China, Ireland and so on. Has been reviewed comparative analysis of strategies and trends shaping the information economy of Azerbaijan with developed countries. Given a number of recommendations put forward for future development.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"353 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":"122790514","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}
A. Skatkov, E. Mashchenko, V. Shevchenko, D. Voronin
{"title":"Visual quality estimation technique for services in cloud environments","authors":"A. Skatkov, E. Mashchenko, V. Shevchenko, D. Voronin","doi":"10.1109/ICAICT.2016.7991735","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991735","url":null,"abstract":"Scientific problems, related to the interaction between IT-services suppliers and consumers in the cloud environments, has been described. The analysis of quality metrics, used for IT-services estimation, has been carried out taking into account the specificity of the cloud infrastructure that focuses on large-scale scientific problems solving. The technique, used for the visual express quality estimation of IT-services, has been proposed. The method of parallel coordinates has been used for multidimensional data visualization. The proposed technique can be used as an effective instrument for visual analysis of cloud services functioning (the dynamics of their quality indicators is considered).","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":"129555309","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}
{"title":"Comparison of QoS architectures for VoIP traffics in IPv4 and IPv6","authors":"H. Al-Fayyadh, M. Koyuncu","doi":"10.1109/ICAICT.2016.7991734","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991734","url":null,"abstract":"The Internet has become an integral part of human's life with an ever increasing number of applications and services that it provides to its customers. Both the numbers of Internet users and services provided by the Internet continue to rise tremendously. Quality of Service (QoS) is the ability of a network to provide better services for the users to divide the bandwidth according to the needs of different applications. With an increase in demand for multimedia applications like video streaming, VoIP and video conferencing, larger bandwidth requirement increases drastically since such applications are very sensitive to delay, packet loss, and jitter. IPv6 has new features which are designed to improve QoS supported by IPv4, as well as other improvements. This paper gives a comparative analysis of QoS architectures, namely Integrated Services (IntServ) and Differentiated Services (DiffServ), which are examined to see their effects for Voice over IP (VoIP) in IPv4 and IPv6 environments. For comparisons, OPNET Modeler is used for network modeling and testing. The obtained test results show the importance of IPv6 to support multimedia applications on the Internet.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"19 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":"121186000","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}