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2020 IEEE KhPI Week on Advanced Technology (KhPIWeek)最新文献

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Global trends in renewable energy development 全球可再生能源发展趋势
2020 IEEE KhPI Week on Advanced Technology (KhPIWeek) Pub Date : 2020-10-05 DOI: 10.1109/KhPIWeek51551.2020.9250098
T. Kurbatova, T. Perederii
{"title":"Global trends in renewable energy development","authors":"T. Kurbatova, T. Perederii","doi":"10.1109/KhPIWeek51551.2020.9250098","DOIUrl":"https://doi.org/10.1109/KhPIWeek51551.2020.9250098","url":null,"abstract":"The paper deals with modern trends in global renewable energy development. Despite the fact that nowadays the dynamic deployment of renewable energy capacities is observed around the world, global energy market continues to be based on non-renewable energy resources. In the paper the drivers for global renewable energy market development and their impact on renewable energy plants construction are examined. The analysis has shown that the main driving forces for world renewable energy sector growth are policy factors, especially implementation of well-designed support mechanisms to promote energy production from renewables. As such support tools were mainly implemented in power sector, now it holds leading position, while insufficient implementation of motivational tools in transport, heating and cooling sectors slowed down their development. In addition, the main challenges, which inhibit increasing the competitiveness of renewable energy on the global energy market, are outlined.","PeriodicalId":115140,"journal":{"name":"2020 IEEE KhPI Week on Advanced Technology (KhPIWeek)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125737091","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}
引用次数: 21
Energy Crisis and Electricity Reform of Ukraine - First Results 乌克兰的能源危机和电力改革-初步成果
2020 IEEE KhPI Week on Advanced Technology (KhPIWeek) Pub Date : 2020-10-05 DOI: 10.1109/KhPIWeek51551.2020.9250119
S. Shevchenko, Alexander Koval, D. Danylchenko, V. Koval
{"title":"Energy Crisis and Electricity Reform of Ukraine - First Results","authors":"S. Shevchenko, Alexander Koval, D. Danylchenko, V. Koval","doi":"10.1109/KhPIWeek51551.2020.9250119","DOIUrl":"https://doi.org/10.1109/KhPIWeek51551.2020.9250119","url":null,"abstract":"This paper presents a study of the reform of the electricity sector of Ukraine, the transition to the electricity market. The structure of electricity generation, problems of financing and payments for electricity between energy companies are shown. The world experience of functioning of energy markets is given. The influence of state regulation in the field of energy on the development of the industry is analyzed. It is shown how the uncontrolled development of “green” energy has led to a crisis of non-payment in the energy sector of Ukraine. A way out of the crisis due to the concept of “large-scale construction” is proposed. Possibilities of attracting financing for this concept are given. The possibility of applying financial mechanisms to the functioning of the energy market of Ukraine is considered.","PeriodicalId":115140,"journal":{"name":"2020 IEEE KhPI Week on Advanced Technology (KhPIWeek)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130527343","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}
引用次数: 8
Electric Power Quality Induction Generator with Parametric Asymmetry 参数不对称的电能质量感应发电机
2020 IEEE KhPI Week on Advanced Technology (KhPIWeek) Pub Date : 2020-10-05 DOI: 10.1109/KhPIWeek51551.2020.9250097
V. Chenchevoi, Iurii Zachepa, O. Chornyi, O. Chencheva, R. Yatsiuk
{"title":"Electric Power Quality Induction Generator with Parametric Asymmetry","authors":"V. Chenchevoi, Iurii Zachepa, O. Chornyi, O. Chencheva, R. Yatsiuk","doi":"10.1109/KhPIWeek51551.2020.9250097","DOIUrl":"https://doi.org/10.1109/KhPIWeek51551.2020.9250097","url":null,"abstract":"The article presents studies of the “induction generator - induction motor” system with parametric asymmetry to determine the quality of the generated electricity in load conditions on a mathematical model. The results of changes in the main characteristics of the generator and motor with varying degrees of parametric asymmetry in the generator were presented. The quality of the generated electricity was analyzed based on the determination of asymmetry coefficients for each of the operating modes. A regression model was developed to study the working conditions of electricity consumers powered by an induction generator with asymmetry of the stator windings.","PeriodicalId":115140,"journal":{"name":"2020 IEEE KhPI Week on Advanced Technology (KhPIWeek)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131814133","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}
引用次数: 1
Clinical information processing block of the biotechnological system for latent Diabetes mellitus type 2 detecting, based on the diagnosis of an experienced endocrinologist 潜伏型糖尿病2型检测的生物技术系统的临床信息处理块，基于一位经验丰富的内分泌专家的诊断
2020 IEEE KhPI Week on Advanced Technology (KhPIWeek) Pub Date : 2020-10-05 DOI: 10.1109/KhPIWeek51551.2020.9250132
Y. Sokol, Stanislav Lapta, V. Makarov, O. Goncharova, O. Solovyova, Sergiy Koval, S. Lapta, I. Karachentsev, Nona Kravchun
{"title":"Clinical information processing block of the biotechnological system for latent Diabetes mellitus type 2 detecting, based on the diagnosis of an experienced endocrinologist","authors":"Y. Sokol, Stanislav Lapta, V. Makarov, O. Goncharova, O. Solovyova, Sergiy Koval, S. Lapta, I. Karachentsev, Nona Kravchun","doi":"10.1109/KhPIWeek51551.2020.9250132","DOIUrl":"https://doi.org/10.1109/KhPIWeek51551.2020.9250132","url":null,"abstract":"In the article it is proposed firstly a block of a biotechnological system (BTS) for processing clinical information for the early diagnostics of latent Diabetes mellitus type 2 (DM2). It was based on mathematical models of the intellectual activity of an expert-endocrinologist in identifying latent DM2 (Prediabetes), based on the glycemic data of the oral glucose tolerance test (OGTT) and on examples of these data with expert diagnoses. At present this expert method is recognized as the most trustworthy and precision, but unsuitable for mass screening of the population for latent DM2, which is widespread and dangerous due to its late complications. It was analyzed the causes of the failure of our predecessors' attempts to introduce objective methods for diagnosing Prediabetes by non-intersecting intervals of glycemic level (glucose concentration in the blood) in the OGTT clinical data, as well as by non-intersecting intervals of values of various parameters, supposed to be diagnostic. It is shown that proposed by the authors of the article the mathematical models of the intellectual activity of the expert- endocrinologist in the form of an artificial neural network (ANN) and in the form of a logical formula of the propositional algebra allow the diagnosis of the Prediabetes to be carried out at an equally high level. The clarified diagnostic capabilities of these models allow their separate and combined use as part of the corresponding BTS in mass screening investigations of the population of Prediabetes.","PeriodicalId":115140,"journal":{"name":"2020 IEEE KhPI Week on Advanced Technology (KhPIWeek)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133016024","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}
引用次数: 0
Analysis of technical condition diagnostics problems and monitoring of distribution electrical network modes from smart grid platform position 从智能电网平台的角度分析配电网的技术状态、诊断问题及监控模式
2020 IEEE KhPI Week on Advanced Technology (KhPIWeek) Pub Date : 2020-10-05 DOI: 10.1109/KhPIWeek51551.2020.9250080
V. Pazyi, O. Miroshnyk, O. Moroz, I. Trunova, O. Savchenko, S. Halko
{"title":"Analysis of technical condition diagnostics problems and monitoring of distribution electrical network modes from smart grid platform position","authors":"V. Pazyi, O. Miroshnyk, O. Moroz, I. Trunova, O. Savchenko, S. Halko","doi":"10.1109/KhPIWeek51551.2020.9250080","DOIUrl":"https://doi.org/10.1109/KhPIWeek51551.2020.9250080","url":null,"abstract":"The analysis of the methods and means of diagnostics of the technical state, the analysis of the reliability of the elements and the analysis of the parameters of the distribution electrical networks were performed.","PeriodicalId":115140,"journal":{"name":"2020 IEEE KhPI Week on Advanced Technology (KhPIWeek)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133596912","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}
引用次数: 13
High Voltage Cable Systems with Integrated Optical Fiber for Monitoring Cable Lines 用于监控电缆线路的集成光纤高压电缆系统
2020 IEEE KhPI Week on Advanced Technology (KhPIWeek) Pub Date : 2020-10-05 DOI: 10.1109/KhPIWeek51551.2020.9250174
G. Bezprozvannych, V. Zolotaryov, Y. Antonets
{"title":"High Voltage Cable Systems with Integrated Optical Fiber for Monitoring Cable Lines","authors":"G. Bezprozvannych, V. Zolotaryov, Y. Antonets","doi":"10.1109/KhPIWeek51551.2020.9250174","DOIUrl":"https://doi.org/10.1109/KhPIWeek51551.2020.9250174","url":null,"abstract":"One of the effective ways to ensure the reliable operation of high and ultra-high voltage cables with cross-linked polyethylene is to monitor the temperature of the phases throughout the length of the cable. The current load of the cable line is determined by the laying conditions. At the same time, at different sections of the route, the temperature of the living can vary. The temperature measurement is based on the nonlinear Raman Effect of the optical fiber. Sensor with fiber due to nonlinear effect - Raman scattering of optical radiation - allows in real time to determine the places of local overheating. For 110 kV power cable, it is shown that when the short-circuit currents flow, the temperature on the copper conductor surface exceeds 250°C. To ensure normal long-term operation, it is recommended to use an optical module based on metallic materials.","PeriodicalId":115140,"journal":{"name":"2020 IEEE KhPI Week on Advanced Technology (KhPIWeek)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131899109","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}
引用次数: 2
Determination of autonomous electrical energy source technical condition based on an internal combustion engine 基于内燃机的自主电源技术条件的确定
2020 IEEE KhPI Week on Advanced Technology (KhPIWeek) Pub Date : 2020-10-05 DOI: 10.1109/KhPIWeek51551.2020.9250074
S. Zaichenko, S. Shevchuk, V. Opryshko, S. Pryadko, A. Halem, Aymen Adjebi
{"title":"Determination of autonomous electrical energy source technical condition based on an internal combustion engine","authors":"S. Zaichenko, S. Shevchuk, V. Opryshko, S. Pryadko, A. Halem, Aymen Adjebi","doi":"10.1109/KhPIWeek51551.2020.9250074","DOIUrl":"https://doi.org/10.1109/KhPIWeek51551.2020.9250074","url":null,"abstract":"This paper presents an analytical model that describes a test system for diagnosing an autonomous generator based on a single-cylinder four-stroke internal combustion engine. The developed mathematical model allows to determine autonomous generator technical condition by main parameter of the internal combustion engine cylinder piston group - the true docking ratio. The basis for determining an autonomous power generator condition is a test diagnosis system, which is based on the analysis of the starter motor generators current in different modes without fuel supply. As a new criterion for determining condition of an autonomous power generator based on the internal combustion engine, ratio of the average value of starter motor current when scrolling the depressed system and in the compressor state is proposed. Setting a true compression ratio allows to determine the main parameters of the systems energy efficiency.","PeriodicalId":115140,"journal":{"name":"2020 IEEE KhPI Week on Advanced Technology (KhPIWeek)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126030857","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}
引用次数: 4
Computational Tool for Analysis of Strains Based on Optical Flow Approach 基于光流法的应变分析计算工具
2020 IEEE KhPI Week on Advanced Technology (KhPIWeek) Pub Date : 2020-10-05 DOI: 10.1109/KhPIWeek51551.2020.9250075
Andriy Dashkevich, O. Vodka
{"title":"Computational Tool for Analysis of Strains Based on Optical Flow Approach","authors":"Andriy Dashkevich, O. Vodka","doi":"10.1109/KhPIWeek51551.2020.9250075","DOIUrl":"https://doi.org/10.1109/KhPIWeek51551.2020.9250075","url":null,"abstract":"At present, there is an increase in the quantity of computer vision method applications in the industry, robotics, in systems of virtual and augmented reality, geoinformation systems and so on. This leads to the need for the creation and development of efficient methods and algorithms for solving the problems of computer vision. In the paper, we present an approach to solve the problem of the finding of displacement vectors in the two consecutive video frames of the strain test process video. To analyse video we use the optical flow approach and propose improvements to feature extraction method of establishing of robust point correspondences between pair of key points in video frames.","PeriodicalId":115140,"journal":{"name":"2020 IEEE KhPI Week on Advanced Technology (KhPIWeek)","volume":"239 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134272739","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}
引用次数: 0
Reducing the Risks of Medical Diagnosis in an Epidemic or Pandemic 在流行病或大流行中降低医疗诊断的风险
2020 IEEE KhPI Week on Advanced Technology (KhPIWeek) Pub Date : 2020-10-05 DOI: 10.1109/KhPIWeek51551.2020.9250165
Y. Sokol, Stanislav Lapta, K. Kolisnyk, S. Koval’, Oleg Avrunin
{"title":"Reducing the Risks of Medical Diagnosis in an Epidemic or Pandemic","authors":"Y. Sokol, Stanislav Lapta, K. Kolisnyk, S. Koval’, Oleg Avrunin","doi":"10.1109/KhPIWeek51551.2020.9250165","DOIUrl":"https://doi.org/10.1109/KhPIWeek51551.2020.9250165","url":null,"abstract":"The authors set themselves the goal of exploring the possibility of reducing the risks of medical diagnosis in the face of epidemics and pandemics. In this case, an assessment was made of the most characteristic risks of medical diagnostics in these conditions, the identification of risk factors, as well as their dependence on the conditions of use. Some methods of laboratory and clinical diagnostics and the possibilities of increasing their efficiency through the use of modern achievements in the medical and technical fields of scientific and technological progress, which allow solving this problem, are considered.","PeriodicalId":115140,"journal":{"name":"2020 IEEE KhPI Week on Advanced Technology (KhPIWeek)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131274192","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}
引用次数: 3
Analysis of Strength and Bearing Capacity of the Auxiliary Mine Ventilation Fan Connected to the Rotor of Its Electrical Drive 与电传动转子相连的矿井辅助通风机强度及承载力分析
2020 IEEE KhPI Week on Advanced Technology (KhPIWeek) Pub Date : 2020-10-05 DOI: 10.1109/KhPIWeek51551.2020.9250078
V. Martynenko
{"title":"Analysis of Strength and Bearing Capacity of the Auxiliary Mine Ventilation Fan Connected to the Rotor of Its Electrical Drive","authors":"V. Martynenko","doi":"10.1109/KhPIWeek51551.2020.9250078","DOIUrl":"https://doi.org/10.1109/KhPIWeek51551.2020.9250078","url":null,"abstract":"The paper presents a comprehensive study of the reliability of an auxiliary mine ventilation fan connected to its electrical drive. The study includes evaluation of the fan static structural strength, determination of vibrational characteristics ensuring the non-resonant operation conditions of it, as well as calculations of the bearing capacity of the electrical drive. The results of the research allow estimating the strength limit of the fan impeller and time of the safe work of the fan in terms of the bearing long-term strength and the rotor carrying capacity which composes the closed cycle of the auxiliary fan structural analysis.","PeriodicalId":115140,"journal":{"name":"2020 IEEE KhPI Week on Advanced Technology (KhPIWeek)","volume":"5 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134608513","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}
引用次数: 3
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