Pub Date : 2016-10-01DOI: 10.1109/ICAICT.2016.7991820
Huseyin Coskun, T. Yi̇ği̇t, Omer Deperlioglu
Sound of the heart is the basic biomedical information utilized for diagnosis by medical doctors in heart diseases. These sounds show differences according to different pathological characteristics. Extra systole sounds, which mean extra heartbeat, can be perceived as throbbing by people. Occurrence of these sounds in certain age groups may be the indication of tachycardia. In this study, effect of Butterworth, Chebyshev and Elliptic filters on classification results for noise removal in extra systole specific sounds in heart sound database is analyzed. The filters chosen and other methods are paid attention to be faster because the application developed for this aim will be used on mobile devices. Db5 type wavelet transformation method has been used to gain less as feature set. Support vector machine has been used to classify. According to the results gained, the fastest filter for noise removal in extra systole specific heart sounds is Butterworth and the filter that gives the best classification results is Elliptic filter.
{"title":"Effect of filter selection on classification of extrasystole heart sounds via mobile devices","authors":"Huseyin Coskun, T. Yi̇ği̇t, Omer Deperlioglu","doi":"10.1109/ICAICT.2016.7991820","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991820","url":null,"abstract":"Sound of the heart is the basic biomedical information utilized for diagnosis by medical doctors in heart diseases. These sounds show differences according to different pathological characteristics. Extra systole sounds, which mean extra heartbeat, can be perceived as throbbing by people. Occurrence of these sounds in certain age groups may be the indication of tachycardia. In this study, effect of Butterworth, Chebyshev and Elliptic filters on classification results for noise removal in extra systole specific sounds in heart sound database is analyzed. The filters chosen and other methods are paid attention to be faster because the application developed for this aim will be used on mobile devices. Db5 type wavelet transformation method has been used to gain less as feature set. Support vector machine has been used to classify. According to the results gained, the fastest filter for noise removal in extra systole specific heart sounds is Butterworth and the filter that gives the best classification results is Elliptic filter.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"61 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":"131672793","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.2016.7991765
A. Skatkov, A. Bryukhovetskiy, V. Shevchenko, D. Voronin
The proposed approach is based on the use of the heteroscedasticity effect, which is widely known in econometrics. The authors believe that it can give significant positive results for the detection of changes of network traffic states while analyzing the dispersion of the random errors in the regression equations. This method will allow to solve the problem of the definition of supply and demand on the services maintenance in the cloud environments.
{"title":"Monitoring of qualitative changes of network traffic states based on the heteroscedasticity effect","authors":"A. Skatkov, A. Bryukhovetskiy, V. Shevchenko, D. Voronin","doi":"10.1109/ICAICT.2016.7991765","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991765","url":null,"abstract":"The proposed approach is based on the use of the heteroscedasticity effect, which is widely known in econometrics. The authors believe that it can give significant positive results for the detection of changes of network traffic states while analyzing the dispersion of the random errors in the regression equations. This method will allow to solve the problem of the definition of supply and demand on the services maintenance in the cloud environments.","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":"133374697","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.2016.7991793
V. Pisarenko, Shavadi Arsaliev
Audiovisual technologies are considered to be very effective in foreign languages teaching because of their great possibilities to use the whole system of the human perception. Recently, research activities in this area emphasize on computer based foreign languages teaching. In this paper, the basic concept of audiovisual technology for foreign languages teaching is introduced. According to the types of video information used in education process, the technologies are classified into three classes: using films; using video courses; using all other video information. The effectiveness and the quality of education are evaluated by means of two parameters: change of level of competence and students' satisfaction of training methods. Finally, a discussion pointing out the current and future developments in this area is presented.
{"title":"Audiovisual technologies for foreign laguages teaching","authors":"V. Pisarenko, Shavadi Arsaliev","doi":"10.1109/ICAICT.2016.7991793","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991793","url":null,"abstract":"Audiovisual technologies are considered to be very effective in foreign languages teaching because of their great possibilities to use the whole system of the human perception. Recently, research activities in this area emphasize on computer based foreign languages teaching. In this paper, the basic concept of audiovisual technology for foreign languages teaching is introduced. According to the types of video information used in education process, the technologies are classified into three classes: using films; using video courses; using all other video information. The effectiveness and the quality of education are evaluated by means of two parameters: change of level of competence and students' satisfaction of training methods. Finally, a discussion pointing out the current and future developments in this area is presented.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"252 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":"116007089","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.2016.7991808
G. Bánesz, D. Lukáčová, J. Depešová, Lukáš Vaněk
The use of experiments in the education students of technical disciplines gain the necessary knowledge and skills for controlling technical equipment. Such experiments can be carried out in education directly or through remote means of so-called remote real experiments. The report presents two possible ways of using electro panel in education through remote and direct exercises on the subject called Parts of machines and machines. The students have an available e-learning course for preparation for the direct work with the electro-pneumatic panels. Experiences and results from the use of this course are summarized in this report. As a research method to verify the knowledge from the usage of the course an electronic test was used, which results are prepared by descriptive statistic.
{"title":"The possibilities of using experiments in education of special technical subjects","authors":"G. Bánesz, D. Lukáčová, J. Depešová, Lukáš Vaněk","doi":"10.1109/ICAICT.2016.7991808","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991808","url":null,"abstract":"The use of experiments in the education students of technical disciplines gain the necessary knowledge and skills for controlling technical equipment. Such experiments can be carried out in education directly or through remote means of so-called remote real experiments. The report presents two possible ways of using electro panel in education through remote and direct exercises on the subject called Parts of machines and machines. The students have an available e-learning course for preparation for the direct work with the electro-pneumatic panels. Experiences and results from the use of this course are summarized in this report. As a research method to verify the knowledge from the usage of the course an electronic test was used, which results are prepared by descriptive statistic.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"29 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":"123470199","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.2016.7991654
Aibek Makazhanov, Zhandos Yessenbayev
In this paper we describe a work in progress on designing the continuous vector space word representations able to map unseen data adequately. We propose a LSTM-based feature extraction layer that reads in a sequence of characters corresponding to a word and outputs a single fixed-length real-valued vector. We then test our model on a POS tagging task on four typologically different languages. The results of the experiments suggest that the model can offer a solution to the out-of-vocabulary words problem, as in a comparable setting its OOV accuracy improves over that of a state of the art tagger.
{"title":"Character-based feature extraction with LSTM networks for POS-tagging task","authors":"Aibek Makazhanov, Zhandos Yessenbayev","doi":"10.1109/ICAICT.2016.7991654","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991654","url":null,"abstract":"In this paper we describe a work in progress on designing the continuous vector space word representations able to map unseen data adequately. We propose a LSTM-based feature extraction layer that reads in a sequence of characters corresponding to a word and outputs a single fixed-length real-valued vector. We then test our model on a POS tagging task on four typologically different languages. The results of the experiments suggest that the model can offer a solution to the out-of-vocabulary words problem, as in a comparable setting its OOV accuracy improves over that of a state of the art tagger.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"106 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":"124052249","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.2016.7991819
A. Duisenbayeva, L. Atymtayeva, I. Beisembetov
This paper is devoted to the problems of the design of Fuzzy Expert System for cardiovascular disease diagnosis. Such type of systems may be efficiently constructed by using the fuzzy variables as inputs and outputs and generation of results in terms of the presence of the disease in human.
{"title":"Using Fuzzy logic concepts in creating the decision making expert system for cardio — vascular diseases (CVD)","authors":"A. Duisenbayeva, L. Atymtayeva, I. Beisembetov","doi":"10.1109/ICAICT.2016.7991819","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991819","url":null,"abstract":"This paper is devoted to the problems of the design of Fuzzy Expert System for cardiovascular disease diagnosis. Such type of systems may be efficiently constructed by using the fuzzy variables as inputs and outputs and generation of results in terms of the presence of the disease in human.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"113 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":"124767333","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.2016.7991716
Rahim Rashidi, Farugh Katani, Saeid Usefpour, Faroogh Ashkooti
Ad-hoc networks, as well as many wireless networks and wired networks applied here to do and the proper function of routing data packets forwarding, maintenance and update routing information, the security need. Mobile ad hoc networks due to the special properties of operations and placement of often unstructured meshes, or self-organizing ad-hoc networks are known. In these networks in order to extend the communication range of nodes, more than a step, configure routing algorithms are used. In fact, security was a prerequisite for the proper functioning of network operations and without it there is no guarantee for the proper conduct of the exercise and Attackers can easily disrupt the integrity of the network. The trust model proposed by Pirzada and his colleagues route based on at least step is not created. It will be nodes in the path which other nodes are more confident, the old Confidence models can be use that have three part of the Confidence section, Share section and Merge section. So there are high chances of congestion in nodes with confidence. In AODV routing protocol congestion management is vital, so in this paper, a FC2TA model is presented. The FC2TA model increase nodes energy, network stability and balancing on the nodes that have high confidence. Here we apply the FC2TA model to the latest version of AODV. Because of that these protocols constantly improving and now in the development phase. The simulation model is done in Fuzzy Logic Tools in MATLAB.
{"title":"A FC2TA model for congestion management in confidence AODV protocol","authors":"Rahim Rashidi, Farugh Katani, Saeid Usefpour, Faroogh Ashkooti","doi":"10.1109/ICAICT.2016.7991716","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991716","url":null,"abstract":"Ad-hoc networks, as well as many wireless networks and wired networks applied here to do and the proper function of routing data packets forwarding, maintenance and update routing information, the security need. Mobile ad hoc networks due to the special properties of operations and placement of often unstructured meshes, or self-organizing ad-hoc networks are known. In these networks in order to extend the communication range of nodes, more than a step, configure routing algorithms are used. In fact, security was a prerequisite for the proper functioning of network operations and without it there is no guarantee for the proper conduct of the exercise and Attackers can easily disrupt the integrity of the network. The trust model proposed by Pirzada and his colleagues route based on at least step is not created. It will be nodes in the path which other nodes are more confident, the old Confidence models can be use that have three part of the Confidence section, Share section and Merge section. So there are high chances of congestion in nodes with confidence. In AODV routing protocol congestion management is vital, so in this paper, a FC2TA model is presented. The FC2TA model increase nodes energy, network stability and balancing on the nodes that have high confidence. Here we apply the FC2TA model to the latest version of AODV. Because of that these protocols constantly improving and now in the development phase. The simulation model is done in Fuzzy Logic Tools in MATLAB.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"42 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":"124851596","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.2016.7991674
I. Makarova, R. Khabibullin, V. Mavrin, D. Tikhonov, D. Davletshin, K. Shubenkova
The article considers the experience of OLAP-technology in solving optimization problems of the city transport system. The authors proposed a conceptual decision support scheme to optimize the transport-road network parameters. The developed system provides the possibility of intelligent analysis and decision-making based on OLAP-technologies and simulation models.
{"title":"Application of data mining technology to optimize the city transport network","authors":"I. Makarova, R. Khabibullin, V. Mavrin, D. Tikhonov, D. Davletshin, K. Shubenkova","doi":"10.1109/ICAICT.2016.7991674","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991674","url":null,"abstract":"The article considers the experience of OLAP-technology in solving optimization problems of the city transport system. The authors proposed a conceptual decision support scheme to optimize the transport-road network parameters. The developed system provides the possibility of intelligent analysis and decision-making based on OLAP-technologies and simulation models.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"45 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":"127543036","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.2016.7991766
Heresh Beyadar, Maryam Askari, Ararat Askari
Nowadays, due to the high capacity of data and contents produced by a variety of organizations, individuals, and equipment, we are faced with “Big Data” phenomenon, the management, control, and process of which is above the capability of software tools during an endurable and predictable time. Cloud computing provides giant computing resources based on the demand which gains importance through Big Data. The growth of cloud computing and cloud-data storage is the main causes of the emergence and development of Big Data. In this respect, it can be said that cloud environment provides a good ground for managing, storing, and processing of big data. Due to the constant development of the use of information and communicative technologies, today, digital entrepreneurship is developing by using these instruments. In this paper, a network butterfly platform for manufacturing digital entrepreneurship within a cloud environment and based on big data is presented. Using this platform within the cloud environment causes the world's famous brands obtain high value and create several thousand businesses over a short period of time. The main goal of this platform is to exploit technologies of gathering, processing, searching, and visualizing data for extraction, discovery, and access to the hidden patterns, unknown correlations, and other useful information from extremely voluminous data for producing digital entrepreneurship.
{"title":"A Network platform for creating digital entrepreneurship in cloud environment based on big data","authors":"Heresh Beyadar, Maryam Askari, Ararat Askari","doi":"10.1109/ICAICT.2016.7991766","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991766","url":null,"abstract":"Nowadays, due to the high capacity of data and contents produced by a variety of organizations, individuals, and equipment, we are faced with “Big Data” phenomenon, the management, control, and process of which is above the capability of software tools during an endurable and predictable time. Cloud computing provides giant computing resources based on the demand which gains importance through Big Data. The growth of cloud computing and cloud-data storage is the main causes of the emergence and development of Big Data. In this respect, it can be said that cloud environment provides a good ground for managing, storing, and processing of big data. Due to the constant development of the use of information and communicative technologies, today, digital entrepreneurship is developing by using these instruments. In this paper, a network butterfly platform for manufacturing digital entrepreneurship within a cloud environment and based on big data is presented. Using this platform within the cloud environment causes the world's famous brands obtain high value and create several thousand businesses over a short period of time. The main goal of this platform is to exploit technologies of gathering, processing, searching, and visualizing data for extraction, discovery, and access to the hidden patterns, unknown correlations, and other useful information from extremely voluminous data for producing digital entrepreneurship.","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":"130611929","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.2016.7991689
Timur Luguev, Aida Razakova
The problems of object detection on an image and labeling of pixels, corresponding to each detected object (segmentation) are solved. In the work we have examined such issues as filtering and preparation depth data, extraction of semantically rich features vectors from the RGB-D images and classification methods, allowing implementing the objects detection and segmentation.
{"title":"Object detection and segmentation using data from time-of-flight cameras","authors":"Timur Luguev, Aida Razakova","doi":"10.1109/ICAICT.2016.7991689","DOIUrl":"https://doi.org/10.1109/ICAICT.2016.7991689","url":null,"abstract":"The problems of object detection on an image and labeling of pixels, corresponding to each detected object (segmentation) are solved. In the work we have examined such issues as filtering and preparation depth data, extraction of semantically rich features vectors from the RGB-D images and classification methods, allowing implementing the objects detection and segmentation.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"72 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":"130657129","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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