PROBLEMS IN PROGRAMMING最新文献_第9页

On the way to creating Ukrainian national cloud of open science 在创建乌克兰国家开放科学云的路上

PROBLEMS IN PROGRAMMING Pub Date : 2021-09-01 DOI: 10.15407/pp2021.03.027

S. Svistunov, P. Perkonos, S.V. Subotin, Ya.M. Tverdochlib

引用次数: 1

PROBLEMS IN PROGRAMMING Pub Date : 2021-09-01 DOI: 10.15407/pp2021.03.040

V. Reznichenko

{"title":"60 Years of Databases","authors":"V. Reznichenko","doi":"10.15407/pp2021.03.040","DOIUrl":"https://doi.org/10.15407/pp2021.03.040","url":null,"abstract":"The article provides an overview of research and development of databases since their appearance in the 60s of the last century to the present time. The following stages are distinguished: the emergence formation and rapid development, the era of relational databases, extended relational databases, post-relational databases and big data. At the stage of formation, the systems IDS, IMS, Total and Adabas are described. At the stage of rapid development, issues of ANSI/X3/SPARC database architecture, CODASYL proposals, concepts and languages of conceptual modeling are highlighted. At the stage of the era of relational databases, the results of E. Codd's scientific activities, the theory of dependencies and normal forms, query languages, experimental research and development, optimization and standardization, and transaction management are revealed. The extended relational databases phase is devoted to describing temporal, spatial, deductive, active, object, distributed and statistical databases, array databases, and database machines and data warehouses. At the next stage, the problems of post-relational databases are disclosed, namely, NOSQL-, NewSQL- and ontological databases. The sixth stage is devoted to the disclosure of the causes of occurrence, characteristic properties, classification, principles of work, methods and technologies of big data. Finally, the last section provides a brief overview of database research and development in the Soviet Union.","PeriodicalId":313885,"journal":{"name":"PROBLEMS IN PROGRAMMING","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114552520","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

Distributed implementation of neuroevolution of augmenting topologies method 分布式实现神经进化的增强拓扑方法

PROBLEMS IN PROGRAMMING Pub Date : 2021-09-01 DOI: 10.15407/pp2021.03.003

I. Achour, A. Doroshenko

引用次数: 0

Extended performance accounting using Valgrind tool 使用Valgrind工具扩展绩效会计

PROBLEMS IN PROGRAMMING Pub Date : 2021-06-01 DOI: 10.15407/pp2021.02.054

D. Rahozin, A. Doroshenko

{"title":"Extended performance accounting using Valgrind tool","authors":"D. Rahozin, A. Doroshenko","doi":"10.15407/pp2021.02.054","DOIUrl":"https://doi.org/10.15407/pp2021.02.054","url":null,"abstract":"Modern workloads, parallel or sequential, usually suffer from insufficient memory and computing performance. Common trends to improve workload performance include the utilizations of complex functional units or coprocessors, which are able not only to provide accelerated computations but also independently fetch data from memory generating complex address patterns, with or without support of control flow operations. Such coprocessors usually are not adopted by optimizing compilers and should be utilized by special application interfaces by hand. On the other hand, memory bottlenecks may be avoided with proper use of processor prefetch capabilities which load necessary data ahead of actual utilization time, and the prefetch is also adopted only for simple cases making programmers to do it usually by hand. As workloads are fast migrating to embedded applications a problem raises how to utilize all hardware capabilities for speeding up workload at moderate efforts. This requires precise analysis of memory access patterns at program run time and marking hot spots where the vast amount of memory accesses is issued. Precise memory access model can be analyzed via simulators, for example Valgrind, which is capable to run really big workload, for example neural network inference in reasonable time. But simulators and hardware performance analyzers fail to separate the full amount of memory references and cache misses per particular modules as it requires the analysis of program call graph. We are extending Valgrind tool cache simulator, which allows to account memory accesses per software modules and render realistic distribution of hot spot in a program. Additionally the analysis of address sequences in the simulator allows to recover array access patterns and propose effective prefetching schemes. Motivating samples are provided to illustrate the use of Valgrind tool.","PeriodicalId":313885,"journal":{"name":"PROBLEMS IN PROGRAMMING","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117180943","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

Specific features of the use of artificial intelligence in the development of the architecture of intelligent fault-tolerant radar systems 利用人工智能的具体特点开发了智能容错雷达系统的体系结构

PROBLEMS IN PROGRAMMING Pub Date : 2021-06-01 DOI: 10.15407/pp2021.02.063

M. Коsovets, L. Tovstenko

引用次数: 0

Specialized software for simulating the multiple control and modulations of human hemodynamics 专门用于模拟人体血液动力学的多种控制和调节的软件

PROBLEMS IN PROGRAMMING Pub Date : 2021-06-01 DOI: 10.15407/pp2021.02.042

R. Grygoryan, O. Yurchak, A. Degoda, T. Lyudovyk

{"title":"Specialized software for simulating the multiple control and modulations of human hemodynamics","authors":"R. Grygoryan, O. Yurchak, A. Degoda, T. Lyudovyk","doi":"10.15407/pp2021.02.042","DOIUrl":"https://doi.org/10.15407/pp2021.02.042","url":null,"abstract":"Most models of human hemodynamics describe only a small part of physiological mechanisms that directly or indirectly alter activities of the heart pump and vascular tones. Therefore, a very narrow range of tasks related to cardiovascular physiology can be solved using these models. To essentially widen this range, special software based on quantitative models of mechanisms providing the overall control of circulation is created. In the complex model, a multi-compartmental lumped parametric model of hemodynamics, provided under stable values of blood volume and cardiovascular parameters, forms the core model. It consists of two ventricles and 21 vascular compartments. Additional dynamic models represent mechanisms of mechanoreceptor reflexes, chemoreceptor reflexes, main effects of angiotensin-II, antidi uretic hormone, vasopressin, adrenalin, and cardiac or brain ischemia. The software has a physiologist-oriented user interface. It provides the investigator with multiple capabilities for simulating different states of each included mechanism. The interface also allows creating arbitrary combinations of the chosen mechanisms. In particular, the chosen model of these mechanisms is activated or deactivated via the user interface. The activated model modulates initial values of the core model. Special opportunities have been created for simulating different hypotheses concerning the etiology of arterial hypertension. Simulation results are presented with graphs. The user interface documents each simulation as a special file that can be saved for later independent analysis. The software, created in the frame of .NET technology, is an autonomous .EXE file for executing on PС. Software is also a good computer program to be used for educational purposes for illustrating the main physiological and certain pathological regularities to medical students.","PeriodicalId":313885,"journal":{"name":"PROBLEMS IN PROGRAMMING","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129912270","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

Algorithm and software for determining a musical genre by lyrics to create a song hit 通过歌词来确定音乐类型以创作热门歌曲的算法和软件

PROBLEMS IN PROGRAMMING Pub Date : 2021-06-01 DOI: 10.15407/pp2021.02.085

A.A. Triantafillu, M.A. Mateshko, V.L. Shevchenko, І.P. Sinitsyn

引用次数: 0

Ontology-based semantic similarity to metadata analysis in the information security domain 信息安全领域基于本体的元数据语义相似度分析

PROBLEMS IN PROGRAMMING Pub Date : 2021-06-01 DOI: 10.15407/pp2021.02.034

A. Gladun, K. Khala

{"title":"Ontology-based semantic similarity to metadata analysis in the information security domain","authors":"A. Gladun, K. Khala","doi":"10.15407/pp2021.02.034","DOIUrl":"https://doi.org/10.15407/pp2021.02.034","url":null,"abstract":"It is becoming clear with growing complication of cybersecurity threats, that one of the most important resources to combat cyberattacks is the processing of large amounts of data in the cyber environment. In order to process a huge amount of data and to make decisions, there is a need to automate the tasks of searching, selecting and interpreting Big Data to solve operational information security problems. Big data analytics is complemented by semantic technology, can improve cybersecurity, and allows you to process and interpret large amounts of information in the cyber environment. Using of semantic modeling methods in Big Data analytics is necessary for the selection and combination of heterogeneous Big Data sources, recognition of the patterns of network attacks and other cyber threats, which must occur quickly to implement countermeasures. Therefore to analyze Big Data metadata, the authors propose pre-processing of metadata at the semantic level. As analysis tools, it is proposed to create a thesaurus of the problem based on the domain ontology, which should provide a terminological basis for the integration of ontologies of different levels. To build a thesaurus of the problem, it is proposed to use the standards of open information resources, dictionaries, encyclopedias. The development of an ontology hierarchy formalizes the relationships between data elements that will be used in future for machine learning and artificial intelligence algorithms to adapt to changes in the environment, which in turn will increase the efficiency of big data analytics for the cybersecurity domain.","PeriodicalId":313885,"journal":{"name":"PROBLEMS IN PROGRAMMING","volume":"277 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123369873","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

Development of domain thesaurus as a set of ontology concepts with use of semantic similarity and elements of combinatorial optimization 利用语义相似度和组合优化元素开发领域同义词典作为本体概念集

PROBLEMS IN PROGRAMMING Pub Date : 2021-06-01 DOI: 10.15407/pp2021.02.003

Y. Rogushina, A. Gladun

引用次数: 2

Intonation expressiveness of the text at program sounding 程序发音时文本的语调表现力

PROBLEMS IN PROGRAMMING Pub Date : 2021-06-01 DOI: 10.15407/pp2021.02.076

V.L. Shevchenko, Y.S. Lazorenko, O.M. Borovska

引用次数: 1