Pub Date : 2021-06-10DOI: 10.23939/sisn2021.09.075
Anastasiia Vavilenkova
The article outlines the problem of finding meaningful units in electronic text documents and analyzes the main shortcomings of existing approaches of extracting knowledge from textual information. The article is devoted to the study of the peculiarities of the process of construction of logic and linguistic models of electronic text documents, in particular the description and research of the peculiarities of knowledge bases of the system of automated construction of logic and linguistic models of Ukrainian- language text documents. The author proposes a scheme of formalization of textual information based on the construction of a logic and linguistic model of an electronic text document. The first stage of construction is the formation of logical and linguistic models of natural language sentences, which uses a specially developed method of automated formation of logical and linguistic models. This method is based on parsing sentences of natural language, using words of natural language as a thesaurus database and using a database of rules to identify logical connections. This in turn is made possible by the author’s developed knowledge base 1, which is used to determine the role of each word in an electronic text document and serves as a production model with formalized rules of the Ukrainian language for forming phrases that can form members of sentence of natural language. The knowledge base 2 was created by the author to find connections between sentences that are part of an electronic text document and is a set of productions that reflect the principles of synthesis of logic and linguistic models of sentences of natural language, ie the rules of combining and replacing structural components of logic and linguistic models of sentences of natural language. The knowledge base 3, used to build the linguistic component of the logic and linguistic model of a text document, is a set of productions that contains the rules of forming of transition networks to interpret the thematic progression of the text. The application of the developed formalized rules was demonstrated on specific text fragments. Applying the developed knowledge bases allows to trace the process of formation of logic and linguistic models of electronic text documents.
{"title":"Features of the Knowledge Base of the System of Automated Construction of Logic and Linguistic Models of Text Documents","authors":"Anastasiia Vavilenkova","doi":"10.23939/sisn2021.09.075","DOIUrl":"https://doi.org/10.23939/sisn2021.09.075","url":null,"abstract":"The article outlines the problem of finding meaningful units in electronic text documents and analyzes the main shortcomings of existing approaches of extracting knowledge from textual information. The article is devoted to the study of the peculiarities of the process of construction of logic and linguistic models of electronic text documents, in particular the description and research of the peculiarities of knowledge bases of the system of automated construction of logic and linguistic models of Ukrainian- language text documents. The author proposes a scheme of formalization of textual information based on the construction of a logic and linguistic model of an electronic text document. The first stage of construction is the formation of logical and linguistic models of natural language sentences, which uses a specially developed method of automated formation of logical and linguistic models. This method is based on parsing sentences of natural language, using words of natural language as a thesaurus database and using a database of rules to identify logical connections. This in turn is made possible by the author’s developed knowledge base 1, which is used to determine the role of each word in an electronic text document and serves as a production model with formalized rules of the Ukrainian language for forming phrases that can form members of sentence of natural language. The knowledge base 2 was created by the author to find connections between sentences that are part of an electronic text document and is a set of productions that reflect the principles of synthesis of logic and linguistic models of sentences of natural language, ie the rules of combining and replacing structural components of logic and linguistic models of sentences of natural language. The knowledge base 3, used to build the linguistic component of the logic and linguistic model of a text document, is a set of productions that contains the rules of forming of transition networks to interpret the thematic progression of the text. The application of the developed formalized rules was demonstrated on specific text fragments. Applying the developed knowledge bases allows to trace the process of formation of logic and linguistic models of electronic text documents.","PeriodicalId":444399,"journal":{"name":"Vìsnik Nacìonalʹnogo unìversitetu \"Lʹvìvsʹka polìtehnìka\". Serìâ Ìnformacìjnì sistemi ta merežì","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116698114","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 : 2021-06-10DOI: 10.23939/sisn2021.09.151
Yulian Kuryliak, M. Emmerich, D. Dosyn
The management of epidemics received much interest in recent times, due to devastating outbreaks of epidemic diseases such as Ebola and COVID-19. This paper investigates the effect of the structure of the contact network on the dynamics of the epidemic outbreak. In particular we focus on the peak number of critically infected nodes, because this determines the workload of intensive health-care units and should be kept low when managing an epidemic. Simulation of virus propagation in complex networks of different topologies, generated according to the models of Erdős—Rényi, Watts-Strogatz, Barabási—Albert and in complete graph. Continuous-time Markov chains were used to simulate the infection process. The simulation was performed in networks with 200 nodes and different number of edges. The difference between the influence of age- and gender-determined and weighted characteristics of nodes on the number of critically infected nodes that can be used to predict the load on the hospital is analyzed. The analysis used the data of the demographic distribution of Ukraine as of 2020 and data on mortality from COVID-19 in Ukraine, as of December 16, 2020. It is proved that the deterministic characteristics a slightly lower values of critically infected, in small networks. According to the simulation results, it was proven that for one medium degree of connection, the largest peak number of infections is observed in the Barabási—Albert models, slightly less in the Erdős— Rényi models and the smallest in the Watts-Strogatz model. It is established that the main difference between these networks is the average shortest distance. It is proved that the main influence on the propagation rate has the average shortest distance between network nodes, location, clustering coefficient has less influence. It was found that with a large number of edges in the networks, the difference in the prevalence of viruses in the models of the Erdős—Rényi and Barabási—Albert networks is minimized, despite the reduction of the average shortest distance between nodes.
{"title":"Study on the Influence of Direct Contact Network Topology on the Speed of Spread of Infectious Diseases in the Covid-19 Case","authors":"Yulian Kuryliak, M. Emmerich, D. Dosyn","doi":"10.23939/sisn2021.09.151","DOIUrl":"https://doi.org/10.23939/sisn2021.09.151","url":null,"abstract":"The management of epidemics received much interest in recent times, due to devastating outbreaks of epidemic diseases such as Ebola and COVID-19. This paper investigates the effect of the structure of the contact network on the dynamics of the epidemic outbreak. In particular we focus on the peak number of critically infected nodes, because this determines the workload of intensive health-care units and should be kept low when managing an epidemic. Simulation of virus propagation in complex networks of different topologies, generated according to the models of Erdős—Rényi, Watts-Strogatz, Barabási—Albert and in complete graph. Continuous-time Markov chains were used to simulate the infection process. The simulation was performed in networks with 200 nodes and different number of edges. The difference between the influence of age- and gender-determined and weighted characteristics of nodes on the number of critically infected nodes that can be used to predict the load on the hospital is analyzed. The analysis used the data of the demographic distribution of Ukraine as of 2020 and data on mortality from COVID-19 in Ukraine, as of December 16, 2020. It is proved that the deterministic characteristics a slightly lower values of critically infected, in small networks. According to the simulation results, it was proven that for one medium degree of connection, the largest peak number of infections is observed in the Barabási—Albert models, slightly less in the Erdős— Rényi models and the smallest in the Watts-Strogatz model. It is established that the main difference between these networks is the average shortest distance. It is proved that the main influence on the propagation rate has the average shortest distance between network nodes, location, clustering coefficient has less influence. It was found that with a large number of edges in the networks, the difference in the prevalence of viruses in the models of the Erdős—Rényi and Barabási—Albert networks is minimized, despite the reduction of the average shortest distance between nodes.","PeriodicalId":444399,"journal":{"name":"Vìsnik Nacìonalʹnogo unìversitetu \"Lʹvìvsʹka polìtehnìka\". Serìâ Ìnformacìjnì sistemi ta merežì","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122711508","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 : 2021-06-10DOI: 10.23939/sisn2021.09.023
B. Liubinskyi, Valentine Ilnytskyi, P. Topylko
Blockchain (blockchain — chain of blocks) — Distributed Ledger Technology (DLT). This is a combination of components that includes: peer-to-peer (P2P) networks, distributed storage, and cryptography (hashing and public-key encryption). Popular implementations of blockchain technology include Bitcoin as the electronic currency, which can be used to make money transfer transactions from one wallet to another. This paper considers Blockchain technology and the possibility of its usage to verify real estate information. There is a high demand today in the Ethereum platform for creating any decentralized online services based on blockchain (Dapps), working on smart contracts basis. Ethereum greatly simplifies and reduces the cost of implementing a blockchain. Representatives from various industries are interested in blockchain technology. These are mainly companies from different sectors of the economy, especially the banking sector, stock exchanges, etc. Also known applications of technology to the land register. It is implemented by both large players (Microsoft, IBM, Acronis, R3 banking consortium), and the new startups. The paper analyzes various types of real estate fraud and their impact. The requirements for building the architecture of the real estate information verification service have been collected. The architecture of the reasonable contract which considers all the requirements is offered. To implement the blockchain-based algorithm, a distributed Ethereum database based on smart contracts has been chosen. The built approach itself is based on the use of Blockchain technology. The architecture of the real estate information verification service has been developed using Blockchain technology, which, in turn, guarantees the successful execution of transactions and stable operation, which guarantees the entering, updating, and storing of real estate information and its verification.
{"title":"Real Estate Information Verification Service with the Use of the Blockchain Technology","authors":"B. Liubinskyi, Valentine Ilnytskyi, P. Topylko","doi":"10.23939/sisn2021.09.023","DOIUrl":"https://doi.org/10.23939/sisn2021.09.023","url":null,"abstract":"Blockchain (blockchain — chain of blocks) — Distributed Ledger Technology (DLT). This is a combination of components that includes: peer-to-peer (P2P) networks, distributed storage, and cryptography (hashing and public-key encryption). Popular implementations of blockchain technology include Bitcoin as the electronic currency, which can be used to make money transfer transactions from one wallet to another. This paper considers Blockchain technology and the possibility of its usage to verify real estate information. There is a high demand today in the Ethereum platform for creating any decentralized online services based on blockchain (Dapps), working on smart contracts basis. Ethereum greatly simplifies and reduces the cost of implementing a blockchain. Representatives from various industries are interested in blockchain technology. These are mainly companies from different sectors of the economy, especially the banking sector, stock exchanges, etc. Also known applications of technology to the land register. It is implemented by both large players (Microsoft, IBM, Acronis, R3 banking consortium), and the new startups. The paper analyzes various types of real estate fraud and their impact. The requirements for building the architecture of the real estate information verification service have been collected. The architecture of the reasonable contract which considers all the requirements is offered. To implement the blockchain-based algorithm, a distributed Ethereum database based on smart contracts has been chosen. The built approach itself is based on the use of Blockchain technology. The architecture of the real estate information verification service has been developed using Blockchain technology, which, in turn, guarantees the successful execution of transactions and stable operation, which guarantees the entering, updating, and storing of real estate information and its verification.","PeriodicalId":444399,"journal":{"name":"Vìsnik Nacìonalʹnogo unìversitetu \"Lʹvìvsʹka polìtehnìka\". Serìâ Ìnformacìjnì sistemi ta merežì","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125891957","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 : 2021-06-10DOI: 10.23939/sisn2021.09.131
P. Kravets
In this paper, a stochastic game model of self-organization of strategies of stochastic game of mobile agents in the form of cyclic behavioral patterns, which consist of coordinated strategies for moving agents in a limited discrete space, is developed. The behavioral pattern of a multi-agent system is a visualized form of orderly movement of agents that arises from their initial chaotic movement during the learning of a stochastic game. The mobility of multi-step stochastic game agents is ensured by the fact that in discrete moments of time they randomly, simultaneously and independently choose their own pure strategy of moving in one of the possible directions. Current player payments are defined as loss functions that depend on the strategies of neighboring players. These functions are formed from the penalty for irregular spacing of agents in a limited discrete space and the penalty for collisions when moving agents. Random selection of players’ strategies aims to minimize their average loss functions. The generation of sequences of pure strategies is performed by a discrete distribution based on the vectors of mixed strategies. The elements of the vectors of mixed strategies are the conditional probabilities of choosing the appropriate pure displacement strategies. Mixed strategies change over time, adaptively taking into account the value of current losses. This provides an increase in the probability of choosing those strategies that lead to a decrease in the functions of average losses. The dynamics of the vectors of mixed strategies is determined by the Markov recurrent method, for the construction of which a stochastic approximation of the modified condition of complementary non- rigidity, which is valid at Nash equilibrium points, is performed, and a projection operator for expandable unit epsilon simplex is applied. The convergence of the recurrent game method is ensured by compliance with the fundamental conditions and limitations of stochastic approximation. The stochastic game begins with untrained mixed strategies that set a chaotic picture of moving agents. During the learning of the stochastic game, the vectors of mixed strategies are purposefully changed so as to ensure an orderly, conflict-free movement of agents. As a result of computer simulation of stochastic game, cyclic patterns of self-organization of mobile agents on the surface of a discrete torus and within a rectangular region on a plane are obtained. The reliability of the experimental studies was confirmed by the similarity of the obtained patterns of moving agents for different sequences of random variables. The results of the study are proposed to be used in practice for the construction of distributed systems with elements of self-organization, solving various flow and transport problems and collective decision-making in conditions of uncertainty.
{"title":"Self-organizing Strategies in Game of Agent Movement","authors":"P. Kravets","doi":"10.23939/sisn2021.09.131","DOIUrl":"https://doi.org/10.23939/sisn2021.09.131","url":null,"abstract":"In this paper, a stochastic game model of self-organization of strategies of stochastic game of mobile agents in the form of cyclic behavioral patterns, which consist of coordinated strategies for moving agents in a limited discrete space, is developed. The behavioral pattern of a multi-agent system is a visualized form of orderly movement of agents that arises from their initial chaotic movement during the learning of a stochastic game. The mobility of multi-step stochastic game agents is ensured by the fact that in discrete moments of time they randomly, simultaneously and independently choose their own pure strategy of moving in one of the possible directions. Current player payments are defined as loss functions that depend on the strategies of neighboring players. These functions are formed from the penalty for irregular spacing of agents in a limited discrete space and the penalty for collisions when moving agents. Random selection of players’ strategies aims to minimize their average loss functions. The generation of sequences of pure strategies is performed by a discrete distribution based on the vectors of mixed strategies. The elements of the vectors of mixed strategies are the conditional probabilities of choosing the appropriate pure displacement strategies. Mixed strategies change over time, adaptively taking into account the value of current losses. This provides an increase in the probability of choosing those strategies that lead to a decrease in the functions of average losses. The dynamics of the vectors of mixed strategies is determined by the Markov recurrent method, for the construction of which a stochastic approximation of the modified condition of complementary non- rigidity, which is valid at Nash equilibrium points, is performed, and a projection operator for expandable unit epsilon simplex is applied. The convergence of the recurrent game method is ensured by compliance with the fundamental conditions and limitations of stochastic approximation. The stochastic game begins with untrained mixed strategies that set a chaotic picture of moving agents. During the learning of the stochastic game, the vectors of mixed strategies are purposefully changed so as to ensure an orderly, conflict-free movement of agents. As a result of computer simulation of stochastic game, cyclic patterns of self-organization of mobile agents on the surface of a discrete torus and within a rectangular region on a plane are obtained. The reliability of the experimental studies was confirmed by the similarity of the obtained patterns of moving agents for different sequences of random variables. The results of the study are proposed to be used in practice for the construction of distributed systems with elements of self-organization, solving various flow and transport problems and collective decision-making in conditions of uncertainty.","PeriodicalId":444399,"journal":{"name":"Vìsnik Nacìonalʹnogo unìversitetu \"Lʹvìvsʹka polìtehnìka\". Serìâ Ìnformacìjnì sistemi ta merežì","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121571897","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 : 2021-06-10DOI: 10.23939/sisn2021.09.011
Andrii Vasyluk, T. Basyuk
In the article the authors have developed a mathematical support for the process of generating subject unitherms of formulas of algebra of algorithms. The analysis of features of construction of formulas of algebra of algorithms as a result of which it was found out, that today, subsystems with realization of processes of generation of subject unitherms on the basis of abstract unitherms with the subsequent adaptation of formulas are not realized in known systems that served as stimulus to intellectual analysis formulas of algebra of algorithms. It is described that the synthesis of algebra formulas of algorithms, and especially the generation of subject unitherms on the basis of abstract ones is an extremely complex and laborious process. Since all elements of the formula are interconnected, all changes in the algorithm’s formula affect its structure. Therefore, this is the main reason for the complexity of the described processes. One aspect of the synthesis of the formulas of the algebra of algorithms is the process of generating subject unitherms based on abstract unitherms. The signs of operations of the algebra of algorithms are briefly described. Mathematical support of the process of synthesis of algorithm algebra formulas is developed, which takes into account vertical and horizontal orientation and type of algorithm algebra formula: text unitherm, sequencing operation, elimination operation, parallel operation and corresponding cyclic sequencing operations, elimination and parallelization, as well as geometric parameters. The process of generating subject unitherms on the basis of abstract ones is previously described. The list of necessary eliminations and sequences for the synthesis of the corresponding formulas is determined. According to the properties of the signs of operations of the algebra of algorithms, the synthesized formulas of the algorithms are minimized by the number of unitherms. Also, in accordance with the properties of the formulas of the algorithms of algebra, the corresponding unitherms are taken out as signs of operations, as a result of which the formula of the algorithm for the synthesis of algorithm formulas is obtained taking into account the generation of subject unitherms based on abstract unitherms.
{"title":"Synthesis System Оf Algebra Algorithms Formulas","authors":"Andrii Vasyluk, T. Basyuk","doi":"10.23939/sisn2021.09.011","DOIUrl":"https://doi.org/10.23939/sisn2021.09.011","url":null,"abstract":"In the article the authors have developed a mathematical support for the process of generating subject unitherms of formulas of algebra of algorithms. The analysis of features of construction of formulas of algebra of algorithms as a result of which it was found out, that today, subsystems with realization of processes of generation of subject unitherms on the basis of abstract unitherms with the subsequent adaptation of formulas are not realized in known systems that served as stimulus to intellectual analysis formulas of algebra of algorithms. It is described that the synthesis of algebra formulas of algorithms, and especially the generation of subject unitherms on the basis of abstract ones is an extremely complex and laborious process. Since all elements of the formula are interconnected, all changes in the algorithm’s formula affect its structure. Therefore, this is the main reason for the complexity of the described processes. One aspect of the synthesis of the formulas of the algebra of algorithms is the process of generating subject unitherms based on abstract unitherms. The signs of operations of the algebra of algorithms are briefly described. Mathematical support of the process of synthesis of algorithm algebra formulas is developed, which takes into account vertical and horizontal orientation and type of algorithm algebra formula: text unitherm, sequencing operation, elimination operation, parallel operation and corresponding cyclic sequencing operations, elimination and parallelization, as well as geometric parameters. The process of generating subject unitherms on the basis of abstract ones is previously described. The list of necessary eliminations and sequences for the synthesis of the corresponding formulas is determined. According to the properties of the signs of operations of the algebra of algorithms, the synthesized formulas of the algorithms are minimized by the number of unitherms. Also, in accordance with the properties of the formulas of the algorithms of algebra, the corresponding unitherms are taken out as signs of operations, as a result of which the formula of the algorithm for the synthesis of algorithm formulas is obtained taking into account the generation of subject unitherms based on abstract unitherms.","PeriodicalId":444399,"journal":{"name":"Vìsnik Nacìonalʹnogo unìversitetu \"Lʹvìvsʹka polìtehnìka\". Serìâ Ìnformacìjnì sistemi ta merežì","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121658155","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 : 2020-12-05DOI: 10.23939/sisn2020.08.065
Oleksii Duda, Liliana Dzhydzhora, Oleksandr Matsiuk, A. Stanko, N. Kunanets, V. Pasichnyk, O. Kunanets
The concept of creating a multi-level mobile personalized system for fighting viral diseases, in particular Covid-19, was developed. Using the integration of the Internet of Things, Cloud Computing and Big Data technologies, the system involves a combination of two architectures: client-server and publication-subscription. The advantage of the system is the permanent help with viral diseases, namely on communication, information, and medical stages. The smart city concept in the context of viral disease control focuses on the application of Big Data analysis methods and the improvement of forecasting procedures and emergency treatment protocols. Using different technologies, cloud server stores the positioning data obtained from different devices, and the application accesses API to display and analyze the positioning data in real time. Due to the technologies combination, internal and external positioning can be used with a certain accuracy degree, being useful for various medical and emergency situations and analysis and the following processing by other smart city information systems. The result of the given investigation is the development of the conceptual model of multi-level mobile personalized health status monitoring system used for intellectual data analysis, prediction, treatment and prevention of viral diseases such as Covid-19 in modern “smart city”.
{"title":"Mobile information system for monitoring the spread of viruses in smart cities","authors":"Oleksii Duda, Liliana Dzhydzhora, Oleksandr Matsiuk, A. Stanko, N. Kunanets, V. Pasichnyk, O. Kunanets","doi":"10.23939/sisn2020.08.065","DOIUrl":"https://doi.org/10.23939/sisn2020.08.065","url":null,"abstract":"The concept of creating a multi-level mobile personalized system for fighting viral diseases, in particular Covid-19, was developed. Using the integration of the Internet of Things, Cloud Computing and Big Data technologies, the system involves a combination of two architectures: client-server and publication-subscription. The advantage of the system is the permanent help with viral diseases, namely on communication, information, and medical stages. The smart city concept in the context of viral disease control focuses on the application of Big Data analysis methods and the improvement of forecasting procedures and emergency treatment protocols. Using different technologies, cloud server stores the positioning data obtained from different devices, and the application accesses API to display and analyze the positioning data in real time. Due to the technologies combination, internal and external positioning can be used with a certain accuracy degree, being useful for various medical and emergency situations and analysis and the following processing by other smart city information systems. The result of the given investigation is the development of the conceptual model of multi-level mobile personalized health status monitoring system used for intellectual data analysis, prediction, treatment and prevention of viral diseases such as Covid-19 in modern “smart city”.","PeriodicalId":444399,"journal":{"name":"Vìsnik Nacìonalʹnogo unìversitetu \"Lʹvìvsʹka polìtehnìka\". Serìâ Ìnformacìjnì sistemi ta merežì","volume":"305 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133006370","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 : 2020-12-05DOI: 10.23939/sisn2020.08.001
Dmytro Bychko, V. Shendryk, Yuliia Parfenenko
The article deals with the approach to the primary processing of poorly structured medical protocol textual data stored and disseminated as pdf files. The relevance of this work is due to the lack of a universal structure for the presentation of medical protocols and methods of their processing. In the course of the work, the problem of primary processing of clinical protocol data was solved by the example of a unified clinical protocol of primary, secondary (specialized) and tertiary (highly specialized) medical care. The method of primary data processing was developed to create a clear structure of the symptoms of the disease. The first step in structuring clinical protocol data is to divide the protocol information into four basic parts, which allows it to be quickly converted to other formats. This process is implemented using an algorithm developed in C # programming language. The proposed algorithm parses the information from a pdf file and converts it to a txt file. After that, the received information is processed, which consists in the syntactic analysis of the text of the protocol and selection of the structural parts of the protocol corresponding to the headings of the sections: title page; introduction; a list of abbreviations used in the protocol; the main part of the protocol; list of literary sources. The identification of the disease name in the medical protocol is performed by comparing the protocol data and the list of disease names, presented in the world classification MKH-10. The headings “Introduction”, “List of abbreviations used in the protocol” and the main part of the protocol were analyzed and the algorithm for removing uninformed sections from the beginning of the protocol, for example, literature sources, was proposed. An algorithm for finding information in the main part of the medical protocol by processing input data by: tables, diagrams, headings, words, phrases and special symbols are also proposed. As a result of the clinical protocol processing algorithms, a new clinical protocol file is generated, which is three times smaller than the original file. It contains only meaningful information from clinical protocols that will speed up further work on this file, namely its use in medical decision support. The disease card based on a medical protocol in JSON format is presented.
{"title":"The method of primary processing of poorly structured medical data","authors":"Dmytro Bychko, V. Shendryk, Yuliia Parfenenko","doi":"10.23939/sisn2020.08.001","DOIUrl":"https://doi.org/10.23939/sisn2020.08.001","url":null,"abstract":"The article deals with the approach to the primary processing of poorly structured medical protocol textual data stored and disseminated as pdf files. The relevance of this work is due to the lack of a universal structure for the presentation of medical protocols and methods of their processing. In the course of the work, the problem of primary processing of clinical protocol data was solved by the example of a unified clinical protocol of primary, secondary (specialized) and tertiary (highly specialized) medical care. The method of primary data processing was developed to create a clear structure of the symptoms of the disease. The first step in structuring clinical protocol data is to divide the protocol information into four basic parts, which allows it to be quickly converted to other formats. This process is implemented using an algorithm developed in C # programming language. The proposed algorithm parses the information from a pdf file and converts it to a txt file. After that, the received information is processed, which consists in the syntactic analysis of the text of the protocol and selection of the structural parts of the protocol corresponding to the headings of the sections: title page; introduction; a list of abbreviations used in the protocol; the main part of the protocol; list of literary sources. The identification of the disease name in the medical protocol is performed by comparing the protocol data and the list of disease names, presented in the world classification MKH-10. The headings “Introduction”, “List of abbreviations used in the protocol” and the main part of the protocol were analyzed and the algorithm for removing uninformed sections from the beginning of the protocol, for example, literature sources, was proposed. An algorithm for finding information in the main part of the medical protocol by processing input data by: tables, diagrams, headings, words, phrases and special symbols are also proposed. As a result of the clinical protocol processing algorithms, a new clinical protocol file is generated, which is three times smaller than the original file. It contains only meaningful information from clinical protocols that will speed up further work on this file, namely its use in medical decision support. The disease card based on a medical protocol in JSON format is presented.","PeriodicalId":444399,"journal":{"name":"Vìsnik Nacìonalʹnogo unìversitetu \"Lʹvìvsʹka polìtehnìka\". Serìâ Ìnformacìjnì sistemi ta merežì","volume":"227 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123248054","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 : 2020-12-05DOI: 10.23939/sisn2020.08.021
M. Dendiuk, L. Flud, N. Semenyshyn
This paper is devoted to implementing the algorithm for constructing short-term strength curves of wood with biaxial stress states in the radial-tangential plane of structural symmetry. To implement this algorithm was developed software based on the Qt cross-platform toolkit, which allows to build and analyze short-term strength curves in the cross section of wood. The created program has a possibility to choose one of three failure criteria, a kind of wood, temperature and humidity distribution of lumber. The C++ program code is designed so that you can easily add another type of wood as well as a failure criterion. To display the curves, you can select table or graph mode. Graphs can be fixed on a graphics widget, and new ones can be added to compare to previous ones. Based on the analysis of the constructed curves, the ultimate stress state of the material in partial cases is established. In conclusion about expedient using some criteria to describe the strength characteristics of wood with strong and weak asymmetry of strength limits.
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Pub Date : 2020-03-09DOI: 10.23939/sisn2020.07.042
Аndrii Pryshliak, N. Kunanets, V. Pasichnyk
The existing development of the educational field at the intermediate stage of secondary and higher education is analyzed. The idea of creating a kind of intellectual recommendation system for creation of personal educational trajectories is proposed. Statistically, it is fair to assume that the choice of a future profession depends on different factors, but the basis is always grounded on at least an average level of success in the relevant subject areas. This process is accompanied by thorough analysis of personal preferences, future perspectives and social and communication elements. The proposed system should consider the potential risks and search for the best ways to create an effective learning trajectory. The functioning of the system mostly depends on the Automated Educational Management Information Complex, which will be able to provide it with data for correct completion of the task. Processing such amount of information makes it imperative to include the concept of big data in order to investigate the problem as widely as possible.
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Pub Date : 2019-11-11DOI: 10.23939/sisn2019.02.103
R. Holoshchuk, О. Vovk
{"title":"Information support of document production on higher education of state model for graduates at Lviv Polytechic National University","authors":"R. Holoshchuk, О. Vovk","doi":"10.23939/sisn2019.02.103","DOIUrl":"https://doi.org/10.23939/sisn2019.02.103","url":null,"abstract":"","PeriodicalId":444399,"journal":{"name":"Vìsnik Nacìonalʹnogo unìversitetu \"Lʹvìvsʹka polìtehnìka\". Serìâ Ìnformacìjnì sistemi ta merežì","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114521028","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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