Pub Date : 2018-11-01DOI: 10.1109/ICECCO.2018.8634747
B. Aitchanov, O. Baimuratov, A. Aldibekova
This article has the purpose of discussing the problem of milk quality control during its processing by the magnetic field based on the principle of the nuclear magnetic resonance (NMR) method. In order to store it better, an attempt was made to use a magnetic field when processing milk. A three-level automated milk quality management system has been developed. This paper also shows its structure and principle of operation. Comparative graphs of the composition and some properties of milk are given. The optimal values of the magnetic field strength (magnetic induction) are selected. The results and conclusions of an experimental assessment of the qualitative composition of dairy products are also presented.
{"title":"Development of the System with NMR Based on Electromagnetic Coils for Milk Processing","authors":"B. Aitchanov, O. Baimuratov, A. Aldibekova","doi":"10.1109/ICECCO.2018.8634747","DOIUrl":"https://doi.org/10.1109/ICECCO.2018.8634747","url":null,"abstract":"This article has the purpose of discussing the problem of milk quality control during its processing by the magnetic field based on the principle of the nuclear magnetic resonance (NMR) method. In order to store it better, an attempt was made to use a magnetic field when processing milk. A three-level automated milk quality management system has been developed. This paper also shows its structure and principle of operation. Comparative graphs of the composition and some properties of milk are given. The optimal values of the magnetic field strength (magnetic induction) are selected. The results and conclusions of an experimental assessment of the qualitative composition of dairy products are also presented.","PeriodicalId":399326,"journal":{"name":"2018 14th International Conference on Electronics Computer and Computation (ICECCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130990767","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 : 2018-11-01DOI: 10.1109/ICECCO.2018.8634687
A. Aitimov, Cemil Turan, Zhasdauren Duisebekov
Due to the variety of feature extractions and classifiers, many different algorithms have been proposed for gesture recognition. In this paper, we work to increase the recognition performance in terms of recognition rate and execution time by using recently proposed modified sparse representation classifier based on intensity of images. Sparsity based classifier is compared with two conventional ones as K-nearest neighbor and random forest classifiers on gesture recognition. Simulation results showed that, our recognition algorithm based on sparsity has a higher performance than that of the others for both recognition rate and execution time.
{"title":"Gesture Recognition Based on Sparse Reconstruction","authors":"A. Aitimov, Cemil Turan, Zhasdauren Duisebekov","doi":"10.1109/ICECCO.2018.8634687","DOIUrl":"https://doi.org/10.1109/ICECCO.2018.8634687","url":null,"abstract":"Due to the variety of feature extractions and classifiers, many different algorithms have been proposed for gesture recognition. In this paper, we work to increase the recognition performance in terms of recognition rate and execution time by using recently proposed modified sparse representation classifier based on intensity of images. Sparsity based classifier is compared with two conventional ones as K-nearest neighbor and random forest classifiers on gesture recognition. Simulation results showed that, our recognition algorithm based on sparsity has a higher performance than that of the others for both recognition rate and execution time.","PeriodicalId":399326,"journal":{"name":"2018 14th International Conference on Electronics Computer and Computation (ICECCO)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130813838","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 : 2018-11-01DOI: 10.1109/ICECCO.2018.8634755
Cemil Turan, R. Jantayev
Illumination with different lighting levels or angles is an important problem for classification of an individual in face recognition. To overcome this issue, generally classification algorithms are applied after pre-processing of the images to get rid of the low contrast regions to increase the accuracy of recognition. In this work, we use Steerable Gaussian Filter at the pre-processing step for all training and testing samples. In the classification step, we use the recently proposed “Classification via Sparse Reconstruction Vector (CSRV)“ algorithm. The performance of our approach is compared with that of the “Principal Component Analysis (PCA)” algorithm in terms of recognition rates (RR). Experiment results show that the CSRV algorithm has a better performance than that of the PCA algorithm with higher RR even for poorly illuminated images taken from Yale Database B.
{"title":"Sparse Representation Based Face Recognition Under Varying Illumination","authors":"Cemil Turan, R. Jantayev","doi":"10.1109/ICECCO.2018.8634755","DOIUrl":"https://doi.org/10.1109/ICECCO.2018.8634755","url":null,"abstract":"Illumination with different lighting levels or angles is an important problem for classification of an individual in face recognition. To overcome this issue, generally classification algorithms are applied after pre-processing of the images to get rid of the low contrast regions to increase the accuracy of recognition. In this work, we use Steerable Gaussian Filter at the pre-processing step for all training and testing samples. In the classification step, we use the recently proposed “Classification via Sparse Reconstruction Vector (CSRV)“ algorithm. The performance of our approach is compared with that of the “Principal Component Analysis (PCA)” algorithm in terms of recognition rates (RR). Experiment results show that the CSRV algorithm has a better performance than that of the PCA algorithm with higher RR even for poorly illuminated images taken from Yale Database B.","PeriodicalId":399326,"journal":{"name":"2018 14th International Conference on Electronics Computer and Computation (ICECCO)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131228861","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 : 2018-11-01DOI: 10.1109/ICECCO.2018.8634683
L. Ismaila, I. Ismail, N. N. Agwu
In this research we implemented a technique for resolving differential diagnosis (DD) in medical disease expert systems (ES). This was achieved by collecting additional information from users during diagnosis which help to correctly decide which new rule will be asserted to the working memory before feedback can be deduced after proving that a user is suffering from a particular disease by confirming all the symptoms. Our approach correctly resolves differential diagnosis by ruling out similar diseases which match user disease symptoms and enhances the general accuracy of the expert system due to sufficient user information made usable to the system. This work presents a general solution to most significant problem of differential diagnosis, which is neither restricted to a particular disease nor medical domain as compared to the work of other researchers where techniques to resolve differential diagnosis were restricted to a particular disease type. The system can be further optimized by providing the probability value when a goal is achieved as well as medical prescription after diagnosis is completed.
{"title":"Relevance of User Data Completeness in Resolving Differential Diagnosis in Medical Expert System Optimization","authors":"L. Ismaila, I. Ismail, N. N. Agwu","doi":"10.1109/ICECCO.2018.8634683","DOIUrl":"https://doi.org/10.1109/ICECCO.2018.8634683","url":null,"abstract":"In this research we implemented a technique for resolving differential diagnosis (DD) in medical disease expert systems (ES). This was achieved by collecting additional information from users during diagnosis which help to correctly decide which new rule will be asserted to the working memory before feedback can be deduced after proving that a user is suffering from a particular disease by confirming all the symptoms. Our approach correctly resolves differential diagnosis by ruling out similar diseases which match user disease symptoms and enhances the general accuracy of the expert system due to sufficient user information made usable to the system. This work presents a general solution to most significant problem of differential diagnosis, which is neither restricted to a particular disease nor medical domain as compared to the work of other researchers where techniques to resolve differential diagnosis were restricted to a particular disease type. The system can be further optimized by providing the probability value when a goal is achieved as well as medical prescription after diagnosis is completed.","PeriodicalId":399326,"journal":{"name":"2018 14th International Conference on Electronics Computer and Computation (ICECCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129474209","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 : 2018-11-01DOI: 10.1109/ICECCO.2018.8634759
O. E. Aina, Steve A. Adeshina, A. Aibinu
Cervical Cancer is the second most prevalent cancer found in women inNigeria. It is predicted that this will increase by almost 72% if efforts are not made to reduce this growth rate. Cervical cancer is predominantly caused by a virus known as Human Papilloma Virus (HPV). Hence, this survey aims to discuss statistical information on cervical cancer incidence in the six-geopolitical regions in Nigeria. Problems with data collection from these regions are highlighted. Also, existing screening methods and challenges affecting these methods are evaluated. The need for introducing an intelligent detection and classification system which will potentially reduce the growth rate of cervical cancer is discussed.
{"title":"Cervical Cancer in Nigeria: The Need for Intelligent Detection and Classification System","authors":"O. E. Aina, Steve A. Adeshina, A. Aibinu","doi":"10.1109/ICECCO.2018.8634759","DOIUrl":"https://doi.org/10.1109/ICECCO.2018.8634759","url":null,"abstract":"Cervical Cancer is the second most prevalent cancer found in women inNigeria. It is predicted that this will increase by almost 72% if efforts are not made to reduce this growth rate. Cervical cancer is predominantly caused by a virus known as Human Papilloma Virus (HPV). Hence, this survey aims to discuss statistical information on cervical cancer incidence in the six-geopolitical regions in Nigeria. Problems with data collection from these regions are highlighted. Also, existing screening methods and challenges affecting these methods are evaluated. The need for introducing an intelligent detection and classification system which will potentially reduce the growth rate of cervical cancer is discussed.","PeriodicalId":399326,"journal":{"name":"2018 14th International Conference on Electronics Computer and Computation (ICECCO)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125999110","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 : 2018-11-01DOI: 10.1109/ICECCO.2018.8634719
Nurlan Batayev
Nowadays Machinery Diagnostic becomes a major part for many industrial applications. It allows to predict and prevent of breakages. An analysis of the trends in the development of power machines show that the most advanced installations can be created using gas turbine technologies. Quite justified, many energy specialists consider the XXI century - the century of gas turbine technologies. It is very important to prevent gas turbine failure. In this paper investigated machine learning classification techniques with further implementation for fault detection in gas turbine running data trends. Investigation was done for real gas compression station running parameters.
{"title":"Gas Turbine Fault Classification Based on Machine Learning Supervised Techniques","authors":"Nurlan Batayev","doi":"10.1109/ICECCO.2018.8634719","DOIUrl":"https://doi.org/10.1109/ICECCO.2018.8634719","url":null,"abstract":"Nowadays Machinery Diagnostic becomes a major part for many industrial applications. It allows to predict and prevent of breakages. An analysis of the trends in the development of power machines show that the most advanced installations can be created using gas turbine technologies. Quite justified, many energy specialists consider the XXI century - the century of gas turbine technologies. It is very important to prevent gas turbine failure. In this paper investigated machine learning classification techniques with further implementation for fault detection in gas turbine running data trends. Investigation was done for real gas compression station running parameters.","PeriodicalId":399326,"journal":{"name":"2018 14th International Conference on Electronics Computer and Computation (ICECCO)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126006440","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 : 2018-11-01DOI: 10.1109/ICECCO.2018.8634798
Amirgaliyev Yedilkhan, T. Merembayev, Murat Kunelabyev
The focus of the present article is a simulation of a solar hot water heating system for Kazakstan climate conditions. The system consists of solar flat collector, installed exchanger coil inside a storage tank and pumps to provide heating as well as domestic hot water. The simulation of solar heating system is done in Matlab + Simulink. Based on the simulation results it can allows simulate the operational of solar hot water heating system in different climate conditions (temperature and solar irradiance) and different customized parameters of the system for better efficiency of the system in different climate condition.
{"title":"Dynamic Simulation of a Solar Hot Water Heating System for Kazakhstan Climate Conditions","authors":"Amirgaliyev Yedilkhan, T. Merembayev, Murat Kunelabyev","doi":"10.1109/ICECCO.2018.8634798","DOIUrl":"https://doi.org/10.1109/ICECCO.2018.8634798","url":null,"abstract":"The focus of the present article is a simulation of a solar hot water heating system for Kazakstan climate conditions. The system consists of solar flat collector, installed exchanger coil inside a storage tank and pumps to provide heating as well as domestic hot water. The simulation of solar heating system is done in Matlab + Simulink. Based on the simulation results it can allows simulate the operational of solar hot water heating system in different climate conditions (temperature and solar irradiance) and different customized parameters of the system for better efficiency of the system in different climate condition.","PeriodicalId":399326,"journal":{"name":"2018 14th International Conference on Electronics Computer and Computation (ICECCO)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127891357","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 : 2018-11-01DOI: 10.1109/ICECCO.2018.8634709
Azamat Serek, M. Zhaparov, S. Yoo
In this paper, we attempted to generate insights about improving the education of students of EDUCON summer camp in Kazakhstan on the basis of analysis of their dataset and extrapolate the studies into other similar education-based projects. On the basis of empirical data we found that the organization of EDUCON camp was generally good, but there are some points such as subjects related, dormitory related, etc. to be improved in order to make the system of EDUCON even better. As the result, we suggest some new additionalities to be incorporated into the EDUCON education system and some changes have to be done.
{"title":"Analysis of Data to Improve System of an Educational Organization","authors":"Azamat Serek, M. Zhaparov, S. Yoo","doi":"10.1109/ICECCO.2018.8634709","DOIUrl":"https://doi.org/10.1109/ICECCO.2018.8634709","url":null,"abstract":"In this paper, we attempted to generate insights about improving the education of students of EDUCON summer camp in Kazakhstan on the basis of analysis of their dataset and extrapolate the studies into other similar education-based projects. On the basis of empirical data we found that the organization of EDUCON camp was generally good, but there are some points such as subjects related, dormitory related, etc. to be improved in order to make the system of EDUCON even better. As the result, we suggest some new additionalities to be incorporated into the EDUCON education system and some changes have to be done.","PeriodicalId":399326,"journal":{"name":"2018 14th International Conference on Electronics Computer and Computation (ICECCO)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126614045","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 : 2018-11-01DOI: 10.1109/ICECCO.2018.8634675
Salisu Ibrahim Yusuf, Moussa Mahamat Boukar, Aminu Mukhtar, Ahmed Dalhatu Yusuf
In this paper a novel time based dynamic password was presented to the overcome challenge of using a third party such as one-time password email, test and token device system for authentication in dynamic password authentication systems, user will set an initial password define how the password will be changing over a defined time, we found that the system retains the strength of the dynamic password and improves the usability of the system in terms of availability.
{"title":"User Define Time Based Change Pattern Dynamic Password Authentication Scheme","authors":"Salisu Ibrahim Yusuf, Moussa Mahamat Boukar, Aminu Mukhtar, Ahmed Dalhatu Yusuf","doi":"10.1109/ICECCO.2018.8634675","DOIUrl":"https://doi.org/10.1109/ICECCO.2018.8634675","url":null,"abstract":"In this paper a novel time based dynamic password was presented to the overcome challenge of using a third party such as one-time password email, test and token device system for authentication in dynamic password authentication systems, user will set an initial password define how the password will be changing over a defined time, we found that the system retains the strength of the dynamic password and improves the usability of the system in terms of availability.","PeriodicalId":399326,"journal":{"name":"2018 14th International Conference on Electronics Computer and Computation (ICECCO)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117335740","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 : 2018-11-01DOI: 10.1109/ICECCO.2018.8634689
Nazgul Abdinurova, B. Kynabay
The problem of secure connection becomes more and more popular nowadays. Almost all encryption systems can be hacked, and this motivates to the creation of an unbreakable data transfer. The article discussed modern encryption algorithms and the possibility of integrating them into different spheres. Using cryptanalysis method has chosen algorithm for integration with quantum technologies.
{"title":"Revealing Encryption Algorithm for Integrating with Quantum Technologies by Using Cryptanalysis","authors":"Nazgul Abdinurova, B. Kynabay","doi":"10.1109/ICECCO.2018.8634689","DOIUrl":"https://doi.org/10.1109/ICECCO.2018.8634689","url":null,"abstract":"The problem of secure connection becomes more and more popular nowadays. Almost all encryption systems can be hacked, and this motivates to the creation of an unbreakable data transfer. The article discussed modern encryption algorithms and the possibility of integrating them into different spheres. Using cryptanalysis method has chosen algorithm for integration with quantum technologies.","PeriodicalId":399326,"journal":{"name":"2018 14th International Conference on Electronics Computer and Computation (ICECCO)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129730136","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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