Pub Date : 2023-01-01DOI: 10.31649/1999-9941-2023-57-2-4-12
S. I. Melnychuk, M. H. Tarnovskyi, O. H. Murashchenko
Successive approximation register analog-digital converters (SAR ADC) represent the majority of the ADC market for medium- to high-resolution ADCs. Modern SAR ADCs allow to ensure a sampling frequency of more than 100 MHz with a resolution of 10 to 12 bits. Features of the ADC architecture of this type: simplicity, high energy efficiency and dependency of conversion time from resolution. The two main components of a SAR ADC that affect its basic characteristics are the comparator and the digital-to-analog converter (DAC). The DAC based on a capacitor matrix is most often used. In practice, when implementing an ADC in an integrated view, when increasing the resolution, the natural increase of the chip area crystals, increase of the energy, which is consumed during the transformation, and decrease in productivity is intensified by number of technical and technological factors The work analyzes a number of modern approaches that are used to improve the characteristics of the SAR ADC in increased resolution. In particular, the segmentation of the DAC capacitor matrix or the division of the capacitor matrix into a matrix of binary weighted capacitors and a matrix of C-2C capacitors allows to reduce the range of required values of capacitor capacities and reduce the total capacity of the matrix. Due to this, in comparison with the basic architecture, when the ADC bit rate is increased, a smaller area on the crystal is required for the implementation of the matrix and higher performance is ensured. Replacing the capacitor of the most significant discharge of the matrix with an exact copy of its other part allows to reduce the energy consumed from the reference voltage source and spent on redistributing the charge between the capacitors of the matrix during conversion.
{"title":"ANALYSIS OF THE ARCHITECTURE OF SUCCESSIVE APPROXIMATION REGISTER ADC AND APPROACHES TO ITS IMPROVEMENT","authors":"S. I. Melnychuk, M. H. Tarnovskyi, O. H. Murashchenko","doi":"10.31649/1999-9941-2023-57-2-4-12","DOIUrl":"https://doi.org/10.31649/1999-9941-2023-57-2-4-12","url":null,"abstract":"Successive approximation register analog-digital converters (SAR ADC) represent the majority of the ADC market for medium- to high-resolution ADCs. Modern SAR ADCs allow to ensure a sampling frequency of more than 100 MHz with a resolution of 10 to 12 bits. Features of the ADC architecture of this type: simplicity, high energy efficiency and dependency of conversion time from resolution. The two main components of a SAR ADC that affect its basic characteristics are the comparator and the digital-to-analog converter (DAC). The DAC based on a capacitor matrix is most often used. In practice, when implementing an ADC in an integrated view, when increasing the resolution, the natural increase of the chip area crystals, increase of the energy, which is consumed during the transformation, and decrease in productivity is intensified by number of technical and technological factors The work analyzes a number of modern approaches that are used to improve the characteristics of the SAR ADC in increased resolution. In particular, the segmentation of the DAC capacitor matrix or the division of the capacitor matrix into a matrix of binary weighted capacitors and a matrix of C-2C capacitors allows to reduce the range of required values of capacitor capacities and reduce the total capacity of the matrix. Due to this, in comparison with the basic architecture, when the ADC bit rate is increased, a smaller area on the crystal is required for the implementation of the matrix and higher performance is ensured. Replacing the capacitor of the most significant discharge of the matrix with an exact copy of its other part allows to reduce the energy consumed from the reference voltage source and spent on redistributing the charge between the capacitors of the matrix during conversion.","PeriodicalId":479698,"journal":{"name":"Ìnformacìjnì tehnologìï ta kompʼûterna ìnženerìâ","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134882448","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 : 2023-01-01DOI: 10.31649/1999-9941-2023-57-2-25-32
O. M. Kozachko, Y. M. Kryzhanovskyi, S. O. Zhukov, I. V. Varchuk
The method of automated process of assigning tasks to employees of vehicle service stations based on genetic and Hungarian algorithms has been improved, which, unlike existing ones, takes into account the complexity of the task, the time of task execution and the qualifications of workers, and also allows to speed up and optimize the workflow at vehicle service stations. To evaluate the optimality of solution options, a new criterion is proposed, which, in addition to the qualifications of the worker, the complexity and time of the task, allows taking into account the needs of the enterprise in different seasons. The experimental data of the proposed algorithms were computerized. The initial data for the computer experiment were taken as data on the functioning of a real service station in Vinnytsia with and without the automated application of an improved method of assigning tasks to employees of a vehicle service station based on genetic and Hungarian algorithms. Computer experiments have shown that genetic algorithm work better with a large number of tasks, and the Hungarian algorithm works better with a small number of tasks. On the basis of the proposed improvements and algorithms, a cross-platform automated system for vehicle service station employees has been developed, which, unlike existing ones, provides instant interaction between the system's software modules, thanks to the microservice architecture and takes into account the high load of client requests, due to the horizontal scaling of the servers that host the system software. A special feature of the automated system is that it provides station employees with an automated workplace where they can manage their own tasks and monitor and control their execution, which allows vehicle service station owners to control the entire customer service process and correctly prioritize tasks for their employees.
{"title":"IMPROVEMENT OF ASSIGNING TASKS METHOD FOR THE VEHICLE MAINTENANCE EMPLOYEES BASED ON GENETIC AND HUNGARIAN ALGORITHMS","authors":"O. M. Kozachko, Y. M. Kryzhanovskyi, S. O. Zhukov, I. V. Varchuk","doi":"10.31649/1999-9941-2023-57-2-25-32","DOIUrl":"https://doi.org/10.31649/1999-9941-2023-57-2-25-32","url":null,"abstract":"The method of automated process of assigning tasks to employees of vehicle service stations based on genetic and Hungarian algorithms has been improved, which, unlike existing ones, takes into account the complexity of the task, the time of task execution and the qualifications of workers, and also allows to speed up and optimize the workflow at vehicle service stations. To evaluate the optimality of solution options, a new criterion is proposed, which, in addition to the qualifications of the worker, the complexity and time of the task, allows taking into account the needs of the enterprise in different seasons. The experimental data of the proposed algorithms were computerized. The initial data for the computer experiment were taken as data on the functioning of a real service station in Vinnytsia with and without the automated application of an improved method of assigning tasks to employees of a vehicle service station based on genetic and Hungarian algorithms. Computer experiments have shown that genetic algorithm work better with a large number of tasks, and the Hungarian algorithm works better with a small number of tasks. On the basis of the proposed improvements and algorithms, a cross-platform automated system for vehicle service station employees has been developed, which, unlike existing ones, provides instant interaction between the system's software modules, thanks to the microservice architecture and takes into account the high load of client requests, due to the horizontal scaling of the servers that host the system software. A special feature of the automated system is that it provides station employees with an automated workplace where they can manage their own tasks and monitor and control their execution, which allows vehicle service station owners to control the entire customer service process and correctly prioritize tasks for their employees.","PeriodicalId":479698,"journal":{"name":"Ìnformacìjnì tehnologìï ta kompʼûterna ìnženerìâ","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134883150","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 : 2023-01-01DOI: 10.31649/1999-9941-2023-57-2-109-116
O. Yu. Melnykov
The task of assigning the object of scientific and educational activity (teacher, department, student group, etc.) to a certain scientific and educational field of knowledge or specialty is considered. It is noted that solving this problem is important during the accreditation of educational programs, when choosing a reviewer for a scientific article or a student competitive scientific paper, sometimes - when choosing a supervisor for a qualification work, etc. The task of creating an information system (decision-making support system) was set and solved, which would contribute to the formation of performance indicators and check the compliance of these indicators with the fields of educational activity or scientific specialties. At the same time, the list of results of the object's activity can be contained in scientific publications, in keywords used by the scientist to describe his scientific interests, or in the topics of qualifying student papers. The main information resources are the database of categorized scientific publications from the Dimensions system and information about scientists in the Google Scholar system. The classification systems ANZSRC-2008, ANZSRC-2020, ISCED-F and the standard adopted in Ukraine are used. Examples of the work of the developed system are described, the calculation of indicators according to various formulas (absolute values of the number of occurrences found; the share of each value in relation to the sum of all indicators of the object under study; the frequency of entry into the thematic collection for each field or specialty; the share of each frequency of entry to the sum of all particles of the object under study); analysis of the results of calculations both in each position (keyword pair or scientific publication) of the researched object, and the general indicator (which, in turn, can be calculated either as an arithmetic average or as a sum of values); "reduction" of the results ("cutting off the tails") either by the minimum level or by the maximum number of positions, with the possibility of normalizing the total (bringing the sum to one); translation of the distribution by branches and specialties of the ANZSRC to the ISCED-F table or to the standard adopted in Ukraine; calculation of indicators for the entire group of objects and ranking of objects in this group by the chosen industry or specialty.
{"title":"DECISION-MAKING SUPPORT SYSTEM FOR DETERMINING THE FITNESS OF SCIENTIFIC AND EDUCATIONAL ACTIVITY OBJECTS TO SCIENTIFIC AND EDUCATIONAL FIELDS AND SPECIALTIES","authors":"O. Yu. Melnykov","doi":"10.31649/1999-9941-2023-57-2-109-116","DOIUrl":"https://doi.org/10.31649/1999-9941-2023-57-2-109-116","url":null,"abstract":"The task of assigning the object of scientific and educational activity (teacher, department, student group, etc.) to a certain scientific and educational field of knowledge or specialty is considered. It is noted that solving this problem is important during the accreditation of educational programs, when choosing a reviewer for a scientific article or a student competitive scientific paper, sometimes - when choosing a supervisor for a qualification work, etc. The task of creating an information system (decision-making support system) was set and solved, which would contribute to the formation of performance indicators and check the compliance of these indicators with the fields of educational activity or scientific specialties. At the same time, the list of results of the object's activity can be contained in scientific publications, in keywords used by the scientist to describe his scientific interests, or in the topics of qualifying student papers. The main information resources are the database of categorized scientific publications from the Dimensions system and information about scientists in the Google Scholar system. The classification systems ANZSRC-2008, ANZSRC-2020, ISCED-F and the standard adopted in Ukraine are used. Examples of the work of the developed system are described, the calculation of indicators according to various formulas (absolute values of the number of occurrences found; the share of each value in relation to the sum of all indicators of the object under study; the frequency of entry into the thematic collection for each field or specialty; the share of each frequency of entry to the sum of all particles of the object under study); analysis of the results of calculations both in each position (keyword pair or scientific publication) of the researched object, and the general indicator (which, in turn, can be calculated either as an arithmetic average or as a sum of values); \"reduction\" of the results (\"cutting off the tails\") either by the minimum level or by the maximum number of positions, with the possibility of normalizing the total (bringing the sum to one); translation of the distribution by branches and specialties of the ANZSRC to the ISCED-F table or to the standard adopted in Ukraine; calculation of indicators for the entire group of objects and ranking of objects in this group by the chosen industry or specialty.","PeriodicalId":479698,"journal":{"name":"Ìnformacìjnì tehnologìï ta kompʼûterna ìnženerìâ","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134884637","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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