Pub Date : 2019-10-01DOI: 10.1109/AICT47866.2019.8981762
Emin Huseynov, J. Seigneur
Although many users nowadays prefer to use mobile applications for TOTP, there are still use cases for separate/isolated standalone hardware TOTP devices. For various technical restrictions, such as the accuracy limits of oscillators used in realtime clock chips, classic TOTP hardware tokens have a natural tendency to introduce time-drift after some period. This paper describes an innovative product allowing to overcome this disadvantage by introducing a new category of programmable TOTP hardware tokens allowing adjusting the system hardware clock.
{"title":"Hardware TOTP tokens with time synchronization","authors":"Emin Huseynov, J. Seigneur","doi":"10.1109/AICT47866.2019.8981762","DOIUrl":"https://doi.org/10.1109/AICT47866.2019.8981762","url":null,"abstract":"Although many users nowadays prefer to use mobile applications for TOTP, there are still use cases for separate/isolated standalone hardware TOTP devices. For various technical restrictions, such as the accuracy limits of oscillators used in realtime clock chips, classic TOTP hardware tokens have a natural tendency to introduce time-drift after some period. This paper describes an innovative product allowing to overcome this disadvantage by introducing a new category of programmable TOTP hardware tokens allowing adjusting the system hardware clock.","PeriodicalId":329473,"journal":{"name":"2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT)","volume":"245 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131253637","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 : 2019-10-01DOI: 10.1109/AICT47866.2019.8981791
T. Aliyeva, U. Rzayeva
The article is devoted to the consideration of the issues and trends in the use of e-education among the Azerbaijani higher educational institutions (HEI) and presents a systematic analysis of the already established and gradually emerging advantages and disadvantages of this learning form. It discusses the main quantitative and qualitative characteristics of the e-education market and provides the main reasons that stimulate its development in the higher education system, as well as the factors, which delayed its implementation. The authors conclude that Azerbaijan lacks experience of system regulation in e-education industry on the format of legislative initiatives.
{"title":"E-Education as a New Education Paradigm: Case of Azerbaijan","authors":"T. Aliyeva, U. Rzayeva","doi":"10.1109/AICT47866.2019.8981791","DOIUrl":"https://doi.org/10.1109/AICT47866.2019.8981791","url":null,"abstract":"The article is devoted to the consideration of the issues and trends in the use of e-education among the Azerbaijani higher educational institutions (HEI) and presents a systematic analysis of the already established and gradually emerging advantages and disadvantages of this learning form. It discusses the main quantitative and qualitative characteristics of the e-education market and provides the main reasons that stimulate its development in the higher education system, as well as the factors, which delayed its implementation. The authors conclude that Azerbaijan lacks experience of system regulation in e-education industry on the format of legislative initiatives.","PeriodicalId":329473,"journal":{"name":"2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128239302","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 : 2019-10-01DOI: 10.1109/aict47866.2019.8981716
{"title":"[Copyright notice]","authors":"","doi":"10.1109/aict47866.2019.8981716","DOIUrl":"https://doi.org/10.1109/aict47866.2019.8981716","url":null,"abstract":"","PeriodicalId":329473,"journal":{"name":"2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT)","volume":"40 11 Pt 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125744265","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 : 2019-10-01DOI: 10.1109/AICT47866.2019.8981722
G. Tatar, S. Bayar, Muhammet Alkan
This work demonstrates the application and operation principle of a stepper motor to enable the rotation of solar panels using an FPGA-based Basys3 circuit board coded with the Very High Speed Integrated Circuit Hardware Description Language (VHDL). Step motors are used for the solar panels to follow the sun both vertically (Elevation) and horizontally (Azimuth). The calculation actualized on FPGA permits a considerable abatement of the equal preparing time created by various speed controllers. Speed control of the system was made using VHDL code, Register Transfer Level (RTL) digital hardware structure was created with this code block. To obtain delayed pulse duration applied to the motor, the 50 MHz oscillator frequency provided by the Basys-3 card is divided into lower frequencies ranging from 2 to 10 ms [1] [2]. In this case, the angle of rotation, direction and speed of the motor changes according to the position of the sun. The biggest advantage of using FPGAs instead of a discrete digital component (micro-controllers with active components) in such applications is that they are made very fast and coarse changes during design and that the whole design is achieved as a single buried system. The total programmable hardware structure (utilization of FPGA capacity) used for this project is almost 5% of the total source. All framework takes a shot at an inserted framework without a PC interface.
{"title":"FPGA Based Step Motor Control For Solar Panels","authors":"G. Tatar, S. Bayar, Muhammet Alkan","doi":"10.1109/AICT47866.2019.8981722","DOIUrl":"https://doi.org/10.1109/AICT47866.2019.8981722","url":null,"abstract":"This work demonstrates the application and operation principle of a stepper motor to enable the rotation of solar panels using an FPGA-based Basys3 circuit board coded with the Very High Speed Integrated Circuit Hardware Description Language (VHDL). Step motors are used for the solar panels to follow the sun both vertically (Elevation) and horizontally (Azimuth). The calculation actualized on FPGA permits a considerable abatement of the equal preparing time created by various speed controllers. Speed control of the system was made using VHDL code, Register Transfer Level (RTL) digital hardware structure was created with this code block. To obtain delayed pulse duration applied to the motor, the 50 MHz oscillator frequency provided by the Basys-3 card is divided into lower frequencies ranging from 2 to 10 ms [1] [2]. In this case, the angle of rotation, direction and speed of the motor changes according to the position of the sun. The biggest advantage of using FPGAs instead of a discrete digital component (micro-controllers with active components) in such applications is that they are made very fast and coarse changes during design and that the whole design is achieved as a single buried system. The total programmable hardware structure (utilization of FPGA capacity) used for this project is almost 5% of the total source. All framework takes a shot at an inserted framework without a PC interface.","PeriodicalId":329473,"journal":{"name":"2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123864206","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 : 2019-10-01DOI: 10.1109/AICT47866.2019.8981771
N. P. Singh, Devender Singh
This paper presents ensembling of filter features selection algorithms for classification problem in the context of assessment of risk of credit for a financial institution. Feature selection is one of the most important aspect of data mining, and machine learning algorithm. The main objective of feature selection is reduction in computing resources, reduction in future data collection cost, reducing complexities of the model, avoiding overfitting, and increasing the performance of machine learning algorithms. In this paper the set of available variables are firstly reduced using filter feature selection methods such as chi- square, gain ratio, information gain, relief F, and symmetric uncertainly. In addition, ensemble feature selection of the input variables based on these individual methods is also used. The impact of feature selection is measured by fitting seven classification algorithms, i.e., Random Forest, C4.5, PART, C5.0, Bagging, Boosting, and SVM Linear. The performance of the models is compared by calculating parameters such as accuracy, sensitivity, specificity, positive predictive values, negatively predictive values, and AUC. The data used is German bank data of 1000 records and 20 features and one target variable
针对某金融机构信用风险评估的分类问题，提出了一种集成滤波特征选择算法。特征选择是数据挖掘和机器学习算法的一个重要方面。特征选择的主要目标是减少计算资源，降低未来的数据收集成本，降低模型的复杂性，避免过拟合，提高机器学习算法的性能。本文首先利用卡方、增益比、信息增益、宽幅F和对称不确定性等滤波特征选择方法对可用变量集进行缩减。此外，还使用了基于这些单独方法的输入变量的集成特征选择。通过拟合Random Forest、C4.5、PART、C5.0、Bagging、Boosting和SVM Linear 7种分类算法来衡量特征选择的影响。通过计算精度、灵敏度、特异性、阳性预测值、阴性预测值和AUC等参数来比较模型的性能。使用的数据是1000条记录和20个特征和一个目标变量的德国银行数据
{"title":"Impact of Feature Selection Methods on the Perfromance of Credit Risk Classification Algorithms","authors":"N. P. Singh, Devender Singh","doi":"10.1109/AICT47866.2019.8981771","DOIUrl":"https://doi.org/10.1109/AICT47866.2019.8981771","url":null,"abstract":"This paper presents ensembling of filter features selection algorithms for classification problem in the context of assessment of risk of credit for a financial institution. Feature selection is one of the most important aspect of data mining, and machine learning algorithm. The main objective of feature selection is reduction in computing resources, reduction in future data collection cost, reducing complexities of the model, avoiding overfitting, and increasing the performance of machine learning algorithms. In this paper the set of available variables are firstly reduced using filter feature selection methods such as chi- square, gain ratio, information gain, relief F, and symmetric uncertainly. In addition, ensemble feature selection of the input variables based on these individual methods is also used. The impact of feature selection is measured by fitting seven classification algorithms, i.e., Random Forest, C4.5, PART, C5.0, Bagging, Boosting, and SVM Linear. The performance of the models is compared by calculating parameters such as accuracy, sensitivity, specificity, positive predictive values, negatively predictive values, and AUC. The data used is German bank data of 1000 records and 20 features and one target variable","PeriodicalId":329473,"journal":{"name":"2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130462825","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 : 2019-10-01DOI: 10.1109/AICT47866.2019.8981753
K. Aida-zade, J. Hasanov
The selection of the proper features and criteria play important role in color processing, segmentation, and recognition systems. The known methods of the color classification mostly rely on empirically defined formulas which do not satisfy all application areas due to the subjective nature of the human vision. This paper suggests a color closeness evaluation system that based on Adaptive Neuro-Fuzzy Inference System(ANFIS). The suggested approach allows to specifically gauge the closeness according to the application area or the particular expert. The feasibility of the method is tested on graphical images selected from BSCS500 database.
{"title":"Adaptive Neuro-Fuzzy System based Color Closeness Evaluation","authors":"K. Aida-zade, J. Hasanov","doi":"10.1109/AICT47866.2019.8981753","DOIUrl":"https://doi.org/10.1109/AICT47866.2019.8981753","url":null,"abstract":"The selection of the proper features and criteria play important role in color processing, segmentation, and recognition systems. The known methods of the color classification mostly rely on empirically defined formulas which do not satisfy all application areas due to the subjective nature of the human vision. This paper suggests a color closeness evaluation system that based on Adaptive Neuro-Fuzzy Inference System(ANFIS). The suggested approach allows to specifically gauge the closeness according to the application area or the particular expert. The feasibility of the method is tested on graphical images selected from BSCS500 database.","PeriodicalId":329473,"journal":{"name":"2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT)","volume":"671 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125288350","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 : 2019-10-01DOI: 10.1109/AICT47866.2019.8981766
Indira Uvaliyeva, S. Belginova, S. Rustamov, Aigerim Ismukhamedova
Anemia is a common pathology among diseases of the hematopoietic organs. In the framework of this study, a system of support for medical decision-making in determining the morphological classification of anemia based on computational algorithms for diagnosing clinical and hematological symptoms is proposed. The article presents a functional model for diagnosing clinical and hematological symptoms, describing the exact specification of all operations and actions carried out in the process of diagnosis, as well as the nature of the relationships between them A computational algorithm for the morphological classification of clinical and hematological symptoms is proposed, which makes it possible to quantitatively characterize their belonging to various types of anemia. The architecture of the decision support system for diagnosing clinical and hematological symptoms is proposed, as well as the software implementation of the medical diagnostic system is presented.
{"title":"Algorithm Diagnosis of Anemia on the basis of the Method of the Synthesis of the Decisive Rules","authors":"Indira Uvaliyeva, S. Belginova, S. Rustamov, Aigerim Ismukhamedova","doi":"10.1109/AICT47866.2019.8981766","DOIUrl":"https://doi.org/10.1109/AICT47866.2019.8981766","url":null,"abstract":"Anemia is a common pathology among diseases of the hematopoietic organs. In the framework of this study, a system of support for medical decision-making in determining the morphological classification of anemia based on computational algorithms for diagnosing clinical and hematological symptoms is proposed. The article presents a functional model for diagnosing clinical and hematological symptoms, describing the exact specification of all operations and actions carried out in the process of diagnosis, as well as the nature of the relationships between them A computational algorithm for the morphological classification of clinical and hematological symptoms is proposed, which makes it possible to quantitatively characterize their belonging to various types of anemia. The architecture of the decision support system for diagnosing clinical and hematological symptoms is proposed, as well as the software implementation of the medical diagnostic system is presented.","PeriodicalId":329473,"journal":{"name":"2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115173093","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 : 2019-10-01DOI: 10.1109/AICT47866.2019.8981726
S. T. Huseynov
The article is devoted to the use of fuzzy logic for the automated control of heat supply of complex greenhouses with traditional and renewable energy sources. The paper also reviewed aspects for seminars in relevant technical disciplines in engineering education (designing of thermal systems).
{"title":"Automation of Heat Supply in Greenhouse with Usage of the Renewable Heat Sources on the Basis of Fuzzy Logic Simulation Technics","authors":"S. T. Huseynov","doi":"10.1109/AICT47866.2019.8981726","DOIUrl":"https://doi.org/10.1109/AICT47866.2019.8981726","url":null,"abstract":"The article is devoted to the use of fuzzy logic for the automated control of heat supply of complex greenhouses with traditional and renewable energy sources. The paper also reviewed aspects for seminars in relevant technical disciplines in engineering education (designing of thermal systems).","PeriodicalId":329473,"journal":{"name":"2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT)","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127581015","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 : 2019-10-01DOI: 10.1109/AICT47866.2019.8981783
Dmitry S. Kalinin, A. A. Dyumin
In many spheres of human activities, such as manufacture and warehouse automation or public transport systems, people's life and health rely on distributed robot networks. To provide these systems reliability in single-node failure situation, log-data replication task should be solved in environment with limited resources and unstable links. This paper describes possible approach to network traffic minimization by adaptive choice of data replication nodes. This approach is based on nodes reliability information and real-time inter-node connection parameters.
{"title":"Adaptive Log-Files Transmission Subsystem in Distributed Robot Network","authors":"Dmitry S. Kalinin, A. A. Dyumin","doi":"10.1109/AICT47866.2019.8981783","DOIUrl":"https://doi.org/10.1109/AICT47866.2019.8981783","url":null,"abstract":"In many spheres of human activities, such as manufacture and warehouse automation or public transport systems, people's life and health rely on distributed robot networks. To provide these systems reliability in single-node failure situation, log-data replication task should be solved in environment with limited resources and unstable links. This paper describes possible approach to network traffic minimization by adaptive choice of data replication nodes. This approach is based on nodes reliability information and real-time inter-node connection parameters.","PeriodicalId":329473,"journal":{"name":"2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130180787","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 : 2019-10-01DOI: 10.1109/AICT47866.2019.8981725
Y. Zaychenko, Galib Hamidov
The hybrid deep learning GMDH- neo-fuzzy network was suggested and investigated. The application of GMDH based on self-organization enables to build optimal structure of neo-fuzzy system and train weights of neural network in one procedure. As a node of hybrid neo-fuzzy system neo-fuzzy network with small number of adjustable parameters is suggested. This enables to cut training time and accelerate convergence of training. The experimental studies of GMDH-neo-fuzzy network were carried out in the task of forecasting in macro-economy and financial sphere. The forecasting efficiency of the suggested hybrid neo-fuzzy network was estimated and its sensitivity to variation of tuning parameters was investigated. The suggested approach allows to prevent the drawbacks of deep learning such as vanishing or exploding gradient.
{"title":"The Hybrid Deep Learning GMDH-neo-fuzzy Neural Network and Its Applications","authors":"Y. Zaychenko, Galib Hamidov","doi":"10.1109/AICT47866.2019.8981725","DOIUrl":"https://doi.org/10.1109/AICT47866.2019.8981725","url":null,"abstract":"The hybrid deep learning GMDH- neo-fuzzy network was suggested and investigated. The application of GMDH based on self-organization enables to build optimal structure of neo-fuzzy system and train weights of neural network in one procedure. As a node of hybrid neo-fuzzy system neo-fuzzy network with small number of adjustable parameters is suggested. This enables to cut training time and accelerate convergence of training. The experimental studies of GMDH-neo-fuzzy network were carried out in the task of forecasting in macro-economy and financial sphere. The forecasting efficiency of the suggested hybrid neo-fuzzy network was estimated and its sensitivity to variation of tuning parameters was investigated. The suggested approach allows to prevent the drawbacks of deep learning such as vanishing or exploding gradient.","PeriodicalId":329473,"journal":{"name":"2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134223640","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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