{"title":"Application of quality optimization approach of information systems in education","authors":"E. Trichkova-Kashamova","doi":"10.1109/ET50336.2020.9238160","DOIUrl":"https://doi.org/10.1109/ET50336.2020.9238160","url":null,"abstract":"The correct selection of the methodology for the construction of an information system is essential for its effective functioning. The final results depend on what stages, techniques, and means will be used and in what sequence they will be applied. The present paper focuses on improving the characteristics of the information systems based on the solutions of optimization problems satisfying the requirements of the established world standard for quality assessment. The potential for improvement is based on a real educational information system. Quantitative evaluation of system parameters by using a quality assessment approach based on ISO/IEC 25010:2011 standard is illustrated. Results of the solution of an optimization problem about quality standard criteria are presented.","PeriodicalId":178356,"journal":{"name":"2020 XXIX International Scientific Conference Electronics (ET)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133384916","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 Virtual Signal Generator for Real-Time Generation of Power Quality Disturbances","authors":"Bodan Velkovski, Z. Kokolanski","doi":"10.1109/ET50336.2020.9238243","DOIUrl":"https://doi.org/10.1109/ET50336.2020.9238243","url":null,"abstract":"This paper will present the development and realization of a LabVIEW virtual instrument for generation of power quality disturbances. The developed signal generator has the ability to generate signals of various durations containing different types and combinations of power quality disturbances, as well as the ability for their real-time hardware reproduction and logging. The paper will describe the mathematical model, programming architecture and signal generation technique used for the realization of the generator.","PeriodicalId":178356,"journal":{"name":"2020 XXIX International Scientific Conference Electronics (ET)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121197309","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":"Error splitting method for training a built-in neural network storage element with SR-latch functionality","authors":"N. Tsaikin","doi":"10.1109/ET50336.2020.9238330","DOIUrl":"https://doi.org/10.1109/ET50336.2020.9238330","url":null,"abstract":"A method for dividing the error when passing through a storage element with SR-latch functionality for embedding in neural networks with one output and two inputs is presented. In the backpropagation method, the error is divided from one output to the two inputs with opposite coefficients. In this way, the element trains the previous neural layers to detect input vectors, which indicate the beginning and the end of statuses to be remembered. The forward and reverse interfaces of the element are defined, respectively for calculating the information signal and the error.","PeriodicalId":178356,"journal":{"name":"2020 XXIX International Scientific Conference Electronics (ET)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124250183","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}
V. Videkov, I. Vrublevsky, B. Tzaneva, K. Chernyakova
{"title":"Pore formation in highly ordered anodic alumina templates controlled by the rate of electrolyte stirring at the oxide surface","authors":"V. Videkov, I. Vrublevsky, B. Tzaneva, K. Chernyakova","doi":"10.1109/ET50336.2020.9238327","DOIUrl":"https://doi.org/10.1109/ET50336.2020.9238327","url":null,"abstract":"This paper presents the studies on the cooling of the aluminum surface during its anodization by controlling the rate of electrolyte stirring and its effect on the morphology of the nanoporous anodic films. The obtained data demonstrates the possibility to control the pore diameter during the anodizing process without changing the anodizing voltage and interpore distance. This allows a higher utilization factor of the anode oxide when it is used as a matrix to obtain metal nanowires.","PeriodicalId":178356,"journal":{"name":"2020 XXIX International Scientific Conference Electronics (ET)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123274290","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":"Current and Voltage Mode Control of DC-DC Converter in PSIM Environment","authors":"Gergana Vacheva, N. Hinov","doi":"10.1109/ET50336.2020.9238335","DOIUrl":"https://doi.org/10.1109/ET50336.2020.9238335","url":null,"abstract":"In the current paper a current mode control of a buck DC-DC converter is presented. The simulation model are realized in PSIM environment. The main purposes for this research is to present the program and her possibilities for simpler understanding and studying of basic principles of control design for the students and young researchers in Power electronics.","PeriodicalId":178356,"journal":{"name":"2020 XXIX International Scientific Conference Electronics (ET)","volume":"250 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128698630","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":"Classification Tasks Solving with Machine Learning Methods","authors":"Ginka Marinova, Maya P. Todorova","doi":"10.1109/ET50336.2020.9238218","DOIUrl":"https://doi.org/10.1109/ET50336.2020.9238218","url":null,"abstract":"The subject of analysis and research is data in the field of medical oncology through machine learning methods. The types of classification in machine learning are presented, and three methods are described - K-Nearest Neighbors, Naive Bayes Classifier, Support Vector Machines. Two classification tasks in the field of medicine have been formulated, implemented, and researched. Classifiers are created and trained with the methods KNN, SVM, and NBC. The solved classification tasks aim to support patients and clinical psycho-oncologists.","PeriodicalId":178356,"journal":{"name":"2020 XXIX International Scientific Conference Electronics (ET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130501905","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":"Passive Intermodulation Effect on Antennas and Passive Components","authors":"H. Aniktar","doi":"10.1109/ET50336.2020.9238293","DOIUrl":"https://doi.org/10.1109/ET50336.2020.9238293","url":null,"abstract":"The Passive Intermodulation (PIM) phenomenon occurs because of non-linearities in antennas or passive components. When data rates are increasing in next generation communication systems like in 4G and 5G, PIM is getting even crucial and costly problem. Unwanted harmonics and intermodulation products might occur in communication band and this can take down the communication network. The main reasons of PIM are metal-oxide junctions because of oxidation and corrosion and metal-metal junctions because of different and irregular metal contact surfaces. This work presents PIM mechanisms, design considerations to eliminate PIM effects and PIM measurement test setups for any communication standards (2G, 3G, 4G, and 5G).","PeriodicalId":178356,"journal":{"name":"2020 XXIX International Scientific Conference Electronics (ET)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127114319","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":"Methods of Machine Learning in Oncology","authors":"Maya P. Todorova, Ginka Marinova","doi":"10.1109/ET50336.2020.9238263","DOIUrl":"https://doi.org/10.1109/ET50336.2020.9238263","url":null,"abstract":"Malignant diseases are among the leading causes of mortality. The registration of malignant diseases in Bulgaria is mandatory. The information from the National Cancer Registry about the registered patients, their psychosocial distress and the medical establishments provides an opportunity to conduct research with machine learning methods on a large volume of data. The study aims to apply three machine learning algorithms - CHART, Boosting and Bagging to create classification models for determining the rating of a medical institution and the level of distress of a patient. We present results obtained in a comparative study of different classification methods.","PeriodicalId":178356,"journal":{"name":"2020 XXIX International Scientific Conference Electronics (ET)","volume":"12 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127819366","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}
D. Stoyanova, S. Stoyanova-Petrova, N. Kafadarova, N. Mileva, N. Vakrilov
{"title":"Pilot Results from University – Business Collaboration in Teaching “Thermal Management of Electronic Equipment” Course","authors":"D. Stoyanova, S. Stoyanova-Petrova, N. Kafadarova, N. Mileva, N. Vakrilov","doi":"10.1109/ET50336.2020.9238197","DOIUrl":"https://doi.org/10.1109/ET50336.2020.9238197","url":null,"abstract":"This paper presents the pilot results from teaching “Thermal management of electronic equipment” course at the University of Plovdiv. The course curriculum is prepared together with business. The results are positive: students highly evaluated the quality and relevance of the course and showed “very good” average score from the training in DIPSEIL. During the pilot PhD students developed thermal models of a real electronic system. Business representatives highly evaluated these models which is indicative of the quality of the course.","PeriodicalId":178356,"journal":{"name":"2020 XXIX International Scientific Conference Electronics (ET)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122569743","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":"Research of the systems for Firmware Over The Air (FOTA) and Wireless Diagnostic in the new vehicles","authors":"D. G. Vrachkov, D. Todorov","doi":"10.1109/ET50336.2020.9238345","DOIUrl":"https://doi.org/10.1109/ET50336.2020.9238345","url":null,"abstract":"The paper aims to examine the main architectures used for Firmware Over The Air (FOTA) and Wireless Diagnostic In the vehicles. The main problems in creating a system of this type will be considered. Proposals will be made for price optimization of systems of a similar type. The main points at which systems of this type should provide a higher degree of information protection and encryption will also be considered. Some suggestions for optimizing the memory and from there again optimizing the price of the devices will be considered. Finally, a review of wireless car diagnostics will be based on a common FOTA system.","PeriodicalId":178356,"journal":{"name":"2020 XXIX International Scientific Conference Electronics (ET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128464284","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}