Herald of Advanced Information Technology最新文献

{"title":"Automated solid fuel quality control and monitoring system","authors":"Maksym V. Grishyn, Fedir D. Matiko, Olga S. Tarakhtij, Kristina O. Zhanko, Serhii O. Vereskun","doi":"10.15276/hait.06.2023.14","DOIUrl":"https://doi.org/10.15276/hait.06.2023.14","url":null,"abstract":"The article describes the development of a computer-integrated coal quality management system that allows to increase the service life of heating surfaces in boilers of coal-fired power plants. The need for such a system arises due to erosion caused by abrasive impurities in coal, which leads to deterioration of the boiler infrastructure. Existing methods are mostly manual, time-consuming and error-prone. The aim of the work was to increase the service life of the surface wear resistance of heat exchange tubes of a steam generator of a thermal coal-fired power plant by synthesizing and analyzing a computer-integrated coal quality management system by distributing coal flows between different coal supply sources, unloading conditions and coal quality inspection from suppliers to minimize costs. To achieve this goal, a mathematical model was developed that describes the boiler unit in terms of ash flows in the form of a system of equations. A computer-integrated coal quality control system has been developed that allows to increase the service life of heating surfaces of power boilers by distributing coal flows between coal supply sources and conditions of unloading and checking the quality of coal from suppliers to minimize costs. A computational experiment was conducted to test the operation of the computer-integrated control system and confirm its effectiveness. The results proved the value of the developed computer-integrated control system for increasing the service life of the boiler unit's heating surfaces by timely responding to changes in the quality of coal from different suppliers. It was found that with a computer-integrated control system, the service life of the pipes could be more than doubled (from 3.06 years to 7.39 years). Overall, the introduction of a computer-integrated control system is a transformational solution for managing the distribution of costs between fuel and equipment repair costs. The integrated system, together with the use of mathematical modeling and computational experiments, offers a comprehensive approach to monitoring, predicting, and controlling the factors that affect the durability of heat exchanger tubes. This research makes a significant contribution to the power industry, potentially transforming maintenance and life extension practices for critical infrastructure in thermal power plants. Further researchis needed to refine the system and explore its wider applicability in different operational scenarios.","PeriodicalId":375628,"journal":{"name":"Herald of Advanced Information Technology","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136057425","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":"Modelingand method for assessing the efficiency of the power system","authors":"Viktoriia I. Kryvda, Vladyslav O. Suvorov, Viktor V. Zubak","doi":"10.15276/hait.06.2023.16","DOIUrl":"https://doi.org/10.15276/hait.06.2023.16","url":null,"abstract":"The work is dedicated to addressing the issues related to assessing the efficiency of modern electrical power systems, especially as an increasing number of consumers desire to actively influence the electricity supply schedule, providing conditions to electricity producers. The research can be divided into two main segments: the development of a model for assessing the efficiency of electrical power system operation and the development of a method for analyzing the performance of the energy system, which is based on a model of changes in the quality indicators of the energy system. The proposed model takes into account properties of the energy system such as the probability of uninterrupted network operation, normalized frequency of electrical power, the volume of consumed electrical energy, and the electrical energy supplied by the transmission organization. It is expected that this model will help provide a more accurate assessment of the efficiency of energy system operation under normal operating conditions. Furthermore, a method for analyzing the efficiency of energy system operation has been developed, which is based on a model of changes in the quality indicators of the energy system. A unique featureof this method is the introduction of a new comprehensive indicator of energy system efficiency, which is determined using a convolution method of partial indicators, namely: the volume of electrical energy supply, the quality of electrical energy supply,and the efficiency of electrical energy supply. The reliability of the model was confirmed through the calculation of the daily electric supply and load schedule.","PeriodicalId":375628,"journal":{"name":"Herald of Advanced Information Technology","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136057426","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":"Relay protection devices functionality comparative analysis","authors":"Sergiy M. Radimov, Valerii P. Plis","doi":"10.15276/hait.06.2023.15","DOIUrl":"https://doi.org/10.15276/hait.06.2023.15","url":null,"abstract":"With the development of technology, there has been an evolution in the electrical power industry, replacing conventional electromechanical relays with more advanced devices. Multifunctional microprocessor relay protection terminals becamesuch innovations.This transition marked a new era in the field of monitoring and control of electrical systems. One of the strategic tasks of the energy sector is the comprehensive technical re-equipment and reconstruction of relay protection and automation systems with a focus on maximum automation of dispatch control operations.Solving this problem is impossible without the use of microprocessor devices. The purpose of this work is to conduct a comparative analysis of relay protection devices based on electromechanical relays, electronic components and microprocessor devices, review and compare their characteristics.The work presents the advantages and problems of using microprocessor-based relay protection and automation devices in modern substations.The stages of complexity of relay protection and automation systems from electromechanics to a digital substation are shown.The general trends in the formation of the concept of “Smart Grid” and the main directions for creating intelligent electrical power systems are considered.","PeriodicalId":375628,"journal":{"name":"Herald of Advanced Information Technology","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136057424","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":"Reliability control of a thermoelectric cooler with changes in ambient temperature","authors":"Vladimir P. Zaykov, V. Mescheryakov, Y. Zhuravlov","doi":"10.15276/hait.06.2023.10","DOIUrl":"https://doi.org/10.15276/hait.06.2023.10","url":null,"abstract":"The paper presents the development of method of thermoelectric system reliability indexes control for providing thermal modesof radio electronic equipment, based on thermoelectric coolers medium temperature variation. A mathematical model for investigating influence of the environment temperature variation on the reliability performance of a single-cascade thermoelectric cooler at a given temperature level of cooling, thermal load, geometry of thermoelement branches for different characteristiccurrent operating modes is considered. The results of calculations of the basic parameters, reliability indices, dynamic characteristicsand the analysis of dependences are given for revealing the peculiarities of control processes. It is shown that decreasing the medium temperature at a given chiller design decreases the operating current, increases the cold-productivity, and decreases the time of reaching a steady-state operating mode for various characteristic current operating modes. The time to steady-state operation decreases from the minimum failure rate to the maximum cooling capacity at a fixed medium temperature. The minimum steady-state operation time is ensured in maximum cooling capacity mode. Reduction of such significant for control indices as the amountof consumed energy for different characteristic current operation modes, required heat dissipation capacity of the radiator, time of reaching the steady-state mode is noted. Analysis of research results has shown that it is possible to control indicators of reliability of a single-stage cooler of a given design by changing the medium temperature by changing the value of operating current. A change in the medium temperature of the thermoelectric cooler due to an external supporting device makes it possible to vary the reliability indices and to find a compromise between the reliability, dynamics and cooling capacity of the thermal mode support system.","PeriodicalId":375628,"journal":{"name":"Herald of Advanced Information Technology","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129152019","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":"An adaptive convolutional neural network model for human facial expression recognition","authors":"Olena Arsirii, Denys Petrosiuk","doi":"10.15276/hait.06.2023.8","DOIUrl":"https://doi.org/10.15276/hait.06.2023.8","url":null,"abstract":"The relevance of solving the problem of recognizing facial expressions in the image of a person's face for the formation of amodel of social interactions in the development of intelligent systems for computer vision, human-machine interaction, online learning, emotional marketing, and game intelligence is shown. The aim of the work is to reduce the training time and computational resources without losing the reliability of the multivalued classification of motor units for solving the problem of facial expression recognition in a human face image by developing an adaptive model of a convolution neural network and a method for its training with “fine tuning” of parameters. To achieve the goal, several tasks were solved in the work. Models of specialized convolution neural networks and pre-trained on the ImageNet set were investigated. The stages of transfer learning of convolution neural networks were shown. A model of a convolutionalneural network and a method for its training were developed to solve the problems of facial expression recognition on a human face image. The reliability of recognition of motor units was analyzed based on the developed adaptive model of a convolution neural network and the method of its transfer learning. It is shown that, on average, the use of the proposed loss function in a fully connected layer of a multi-valued motor unit classifier within the framework of the developed adaptive model of a convolution neural network based on the publicly available MobileNet-v1 and its transfer learning method made it possible to increase the reliability of solving the problem of facial expression recognition inahuman face image by 6 % by F1 value estimation.","PeriodicalId":375628,"journal":{"name":"Herald of Advanced Information Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128910574","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":"Architecture of a mobile transport route selection system by a team of volunteers in the conditions of the military state","authors":"D. R. Horpenko","doi":"10.15276/hait.06.2023.12","DOIUrl":"https://doi.org/10.15276/hait.06.2023.12","url":null,"abstract":"The work is devoted to the issue of designing the architecture of a mobile system for choosing the route of cargo transportation and passenger transportation by a team of volunteers under martial law. The system provides support to the decision-maker -the coordinator of the volunteer team in conditions of information uncertainty and dynamic changes in the external environment. The system allows you to receive and take into account operational information about the state of the route segments, which is provided by experts in the role of volunteers.The architecture of the mobile system for the volunteer team in the conditions of dynamic changes is client-server. The client sends data entered by volunteer experts to the server using a mobile phone or Internet connection. The volunteer team coordinator's mobile device is the server of the volunteer team's mobile decision support system. The server has a three-tier architecture: the presentation tier, the application logic tier, and the data tier. At the program logic level, a decision-making subsystem based on the multi-criteria modified Smart method is implemented. As a backup, data from the database on the volunteer team coordinator's device is uploaded to the database located on a remote web server.Based on the developed architecture, a mobile system for building a recommended route for a team of volunteers was developed in Java in Android Studio. As an application of the developed mobile system, a practical example of determining the best of five existing cargo transportation routes is considered","PeriodicalId":375628,"journal":{"name":"Herald of Advanced Information Technology","volume":"60 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114154225","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 structural tuning of the convolutional neural network forspeaker identification in mel frequency cepstrumcoefficients space","authors":"Anastasiia D. Matychenko, M. V. Polyakova","doi":"10.15276/hait.06.2023.7","DOIUrl":"https://doi.org/10.15276/hait.06.2023.7","url":null,"abstract":"As a result of the literature analysis, the main methods for speaker identification from speech signals were defined. These are statistical methods based on Gaussian mixture model and a universal background model, as well as neural network methods, in particular, using convolutional or Siamese neural networks. The main characteristics of these methods are the recognition performance, a number of parameters, and the training time. High recognition performance is achieved by using convolutional neural networks, but a number of parameters of these networks are much higher than for statistical methods, although lower than for Siamese neural networks. A large number of parameters require a large training set, which is not always available for the researcher. In addition, despite the effectiveness of convolutional neural networks, model size and inference efficiency remain important fordevices with a limited source of computing power, such as peripheral or mobile devices. Therefore, the aspects of tuning of the structure of existing convolutional neural networks are relevant for research. In this work, we have performed a structural tuning of an existing convolutional neural network based on the VGGNet architecture for speaker identification in the space of mel frequency cepstrum coefficients. The aim of the work was to reduce the number of neural network parameters and, as a result, to reduce the network training time, provided that the recognition performance is sufficient (the correct recognition is above 95 %). The neural network proposed as a result of structural tuning has fewer layers than the architecture of the basic neural network. Insteadof the ReLU activation function, the related Leaky ReLU function with a parameter of 0.1 was used. The number of filters and the size of kernels in convolutional layers are changed. The size of kernels for the max pooling layer has been increased. It is proposedto use the averaging of the results of each convolution to input a two-dimensional convolution results to a fully connected layer with the Softmax activation function. The performed experiment showed that the number of parameters of the proposed neural network is 29 % less than the number of parameters of the basic neural network, provided that the speaker recognition performance is almost the same. In addition, the training time of the proposed and basic neural networks was evaluated on five datasets of audio recordings corresponding to different numbers of speakers. The training time of the proposed network was reduced by 10-39 % compared to the basic neural network. The results of the research show the advisability of the structural tuning of the convolutional neural network for devices with a limited source of computing, namely, peripheral or mobile devices.","PeriodicalId":375628,"journal":{"name":"Herald of Advanced Information Technology","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124809157","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 method for searching the best static program for nuclear power unit control in the event of perturbations of different nature","authors":"K. Beglov, Yevhenia O. Odrekhovska, T. Petik, V. Vataman","doi":"10.15276/hait.06.2023.9","DOIUrl":"https://doi.org/10.15276/hait.06.2023.9","url":null,"abstract":"Considering the current state of Ukraine's energy sector in a dangerous and unstable environment, the operation of nuclear power plants is one of the most important sources of electricity supply for the state. The development of the theory of optimal control and the technical level of automated process control systems in the current state of affairs make it possible not to reduce the efficiency of controlling a nuclear power unit, not only by changing the parameters at any load, but also by changing the structure of automation equipment capable of implementing a certain static control program of power, which currently eliminates the influence of internal and external disturbances, without reducing safety indicators. The article considers the situation when the linear programming method is not applicable for solving the control problem. In this case, the decision at each stage does not depend on the decision at the previous one. This is where target programming comes in handy –this is one of the methods of multi-criteria optimization, in the theory of which decision-making problems are solved simultaneously according to several criteria. The purpose of the work is to ensure the safe and efficient operation of a nuclear power unit in an energy system that is not constant in operational states. Using a mathematical model of a nuclear power unit, experiments were carried out to simulate the switching of controlprograms. The simulation model of the automated power control system, based on the bumpless switching of static programs according to the technological methods of operating power equipment, made it possible to form a change in the current model of the control program, as well as eliminate the static control error and get the response of process dependent parameters to program switching. Also, based on the results of the research, an objective function was proposed, which includes three normalized criteria with different objectives. In particular, the problem of optimizing the switching of static power control programs was solved by minimizing the objective function, which combines such characteristics as the efficiency and safety of the operation of a nuclear power unit.","PeriodicalId":375628,"journal":{"name":"Herald of Advanced Information Technology","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123295411","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":"Development of an automated online proctoring system","authors":"Anastasiia A. Breskina","doi":"10.15276/hait.06.2023.11","DOIUrl":"https://doi.org/10.15276/hait.06.2023.11","url":null,"abstract":"The rapid development of machine learning technologies, the increasing availability of devices and widespread access to the Internet have significantly contributed to the growth of distance learning. Alongside distance learning systems, proctoring systems have emerged to assess student performance by simulating the work of a teacher. However, despite the development of image processing and machine learning technologies, modern proctoring systems still have limited functionality: some systems have not implemented computer vision methods and algorithms satisfactorily enough (false positives when working with students of different ancestry, racial background and nationalities) and classification of student actions (very strict requirements for student behaviour), so that some software products have even refused to use modules that use elements of artificial intelligence. It is also a problem that current systems are mainly focused on tracking students' faces and gaze and do not track their postures, actions, andemotional state. However, it is the assessment of actions and emotional state that is crucial not only for the learning process itself, but also for the well-being of students, as they spend long periods of time at computers or other devices during distance learning, which has a great impact on both their physical health and stress levels. Currently, control over these indicators lies solely with teachers oreven students themselves, who have to work through test materials and independent work on their own. An additional problem is the quality of processing and storage of students' personal data, as most systems require students to be identified using their identitydocuments and store full, unanonymised video of students' work on their servers. Based on the analysis of all these problems that impede the learning process and potentially affectstudents' health in the long run, this article presents additional functional requirements for modern automated online proctoring systems, including the need to analyse human actions to assess physical activity and monitor hygiene practices when using computers in the learning process, as well as requirements for maximum protection of students' personal data. A prototype of the main components of an automated online proctoring system that meets the proposed requirements has been developed","PeriodicalId":375628,"journal":{"name":"Herald of Advanced Information Technology","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116907361","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":"Evaluation metrics systematization for 2D human poses analysis models","authors":"S. Antoshchuk, Anastasiia A. Breskina","doi":"10.15276/hait.06.2023.2","DOIUrl":"https://doi.org/10.15276/hait.06.2023.2","url":null,"abstract":"This paper describes the systematization of evaluation metrics for 2D human pose analysis models. Some of the most popular tasks solved using machine learning (ML) methods are detection, tracking and recognition of human actions for various practical applications. There are a lot of different metrics that allow evaluating the model from one point or another. To evaluate a specific task, a certain set of metrics is used. However, as literature analysis shows, the vast number of metric definitions, as well as the use of different terms and multiple representations of the same ideas, causes problems of interpretation and comparison of different ML models and methods in detecting, tracking, and recognizing human actions. The purpose of this work is to analyze the metrics for evaluating methods for processing 2D human poses in video in order to facilitate the informed choice of the metrics. To improve the objectivity of evaluating the results of empirical studies of existing and newly developed methods and models for detecting, tracking, and recognizing human actions, a systematization of existing metrics into subgroups was proposed, depending on what task they evaluate. Four classes of evaluation metrics were introduced: classification metrics, key point’s detection, object tracking, and general metrics. Classification metrics are based on quality evaluation and matching values from predicted bounding boxes with ground truths. Key point’s detection metrics are oriented on the quality of found joints of the human body skeleton. Tracking metrics evaluate the object detection on each frame and the correctness of determining its trajectory. General metrics are not specifically related to any of the human 2D pose analysis tasks. The prototype of the application based on suggested metrics systematization, the purpose of which is to help data scientists in formalizing the choice of metrics for evaluating models depending on the ML problem being solved and the application area was developed. To evaluate and demonstrate the metrics, that were suggested in this application, Faster R-CNN, SSD and YOLOv3 object detection models were analyzed and compared in scope of 2D human pose analysis application area. The results of the analysis showed that Faster R-CNN and YOLOv3 have the most accurate responses, although they have the disadvantage of a high False positive rate. The implementation also showed that metrics that based on True negative values are uninformative in scope of working with bounding boxes, because of the specific of application area and inability to calculate True negatives on the image data.","PeriodicalId":375628,"journal":{"name":"Herald of Advanced Information Technology","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122527063","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}