Pub Date : 2022-11-21DOI: 10.1109/CINTI-MACRo57952.2022.10029528
F. Khozeimeh, M. Roshanzamir, A. Shoeibi, M. Darbandy, R. Alizadehsani, H. Alinejad-Rokny, Davood Ahmadian, A. Khosravi, S. Nahavandi
Providing better quality of service is one of the most important goals in medical/healthcare systems. The services provided should have features such as low latency, appropriate geographic distribution, and real-time interaction. Internet of Medical Things (IoMT) technology is one of the solutions to achieve high quality of services with these features. The wearable health monitoring systems which have become popular in the last decade are one of the foundations of achievement to these features. In this paper, the importance of wearable devices under IoMT technology is investigated. There are several reasons for using wearable devices under IoMT technology, such as reducing healthcare costs and long waiting times. Therefore, anyone working on wearable devices needs to have a general understanding of how they are designed and function. In fact, the integration of new devices to monitor and alert patients about their physical health is a promising option for improving health care systems around the world. Overcrowding in medical centers will be prevented by upgrading the facilities for the virtual presence of patients. It can also ensure real-time monitoring and reduce operating costs. In addition, it can accelerate treatment of patients and reduce the cost of investment and increase its coverage.
{"title":"Importance of Wearable Health Monitoring Systems Using IoMT; Requirements, Advantages, Disadvantages and Challenges","authors":"F. Khozeimeh, M. Roshanzamir, A. Shoeibi, M. Darbandy, R. Alizadehsani, H. Alinejad-Rokny, Davood Ahmadian, A. Khosravi, S. Nahavandi","doi":"10.1109/CINTI-MACRo57952.2022.10029528","DOIUrl":"https://doi.org/10.1109/CINTI-MACRo57952.2022.10029528","url":null,"abstract":"Providing better quality of service is one of the most important goals in medical/healthcare systems. The services provided should have features such as low latency, appropriate geographic distribution, and real-time interaction. Internet of Medical Things (IoMT) technology is one of the solutions to achieve high quality of services with these features. The wearable health monitoring systems which have become popular in the last decade are one of the foundations of achievement to these features. In this paper, the importance of wearable devices under IoMT technology is investigated. There are several reasons for using wearable devices under IoMT technology, such as reducing healthcare costs and long waiting times. Therefore, anyone working on wearable devices needs to have a general understanding of how they are designed and function. In fact, the integration of new devices to monitor and alert patients about their physical health is a promising option for improving health care systems around the world. Overcrowding in medical centers will be prevented by upgrading the facilities for the virtual presence of patients. It can also ensure real-time monitoring and reduce operating costs. In addition, it can accelerate treatment of patients and reduce the cost of investment and increase its coverage.","PeriodicalId":18535,"journal":{"name":"Micro","volume":"1 1","pages":"000245-000250"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79058203","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 : 2022-11-21DOI: 10.1109/CINTI-MACRo57952.2022.10029558
Mónika Garai-Fodor, K. Jäckel
The focus of our research was to find out what expectations the different generations have of a more productive and better performing worloplace after two years of the pandemic. The importance of the research is that the experience of the pandemic has revealed the need for employers to take into account the changed employee expectations while developing and commanicating their employer branding strategy. Employer branding is a Generation Y and Generation Z need, as new employees entering the European labour market, including the Hungarian labour market, often select jobs based on factors that can be communicated in advance and that allow companies to differentiate themselves from other companies, so that potential employees can get to know the company better before starting work.
{"title":"Motivational tools and incentives: different generations, different needs at work","authors":"Mónika Garai-Fodor, K. Jäckel","doi":"10.1109/CINTI-MACRo57952.2022.10029558","DOIUrl":"https://doi.org/10.1109/CINTI-MACRo57952.2022.10029558","url":null,"abstract":"The focus of our research was to find out what expectations the different generations have of a more productive and better performing worloplace after two years of the pandemic. The importance of the research is that the experience of the pandemic has revealed the need for employers to take into account the changed employee expectations while developing and commanicating their employer branding strategy. Employer branding is a Generation Y and Generation Z need, as new employees entering the European labour market, including the Hungarian labour market, often select jobs based on factors that can be communicated in advance and that allow companies to differentiate themselves from other companies, so that potential employees can get to know the company better before starting work.","PeriodicalId":18535,"journal":{"name":"Micro","volume":"277 1","pages":"000167-000170"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75123040","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 : 2022-11-21DOI: 10.1109/CINTI-MACRo57952.2022.10029516
A. Lantzky, Daniel Joo, M. Andrea
For this study 10 university students were measured, having a variety of age from 18 years old to 25. Every subject was ask to carry on 6 different balancing acts, without any previous training on the board. One main concept for modelling, is describing the motion with the minimum number of coordinates, but different concepts are considered too. In the simplest one, the human body is described with a rigid homogeneous bar and the ankle’s stiffness is modelled with a torsional spring. The main focus in this thesis, is on the computation of the acting torques of the ankle. For this calculation, the Newtonian equations of the simple mechanical model will be derived, then the generalized coordinate values will be obtained from motion captured measurements, and its derivatives from numerical derivations.
{"title":"Parametric Study of Human Balancing on Rolling Balance Board","authors":"A. Lantzky, Daniel Joo, M. Andrea","doi":"10.1109/CINTI-MACRo57952.2022.10029516","DOIUrl":"https://doi.org/10.1109/CINTI-MACRo57952.2022.10029516","url":null,"abstract":"For this study 10 university students were measured, having a variety of age from 18 years old to 25. Every subject was ask to carry on 6 different balancing acts, without any previous training on the board. One main concept for modelling, is describing the motion with the minimum number of coordinates, but different concepts are considered too. In the simplest one, the human body is described with a rigid homogeneous bar and the ankle’s stiffness is modelled with a torsional spring. The main focus in this thesis, is on the computation of the acting torques of the ankle. For this calculation, the Newtonian equations of the simple mechanical model will be derived, then the generalized coordinate values will be obtained from motion captured measurements, and its derivatives from numerical derivations.","PeriodicalId":18535,"journal":{"name":"Micro","volume":"55 1","pages":"000311-000318"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76007247","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 : 2022-11-21DOI: 10.1109/CINTI-MACRo57952.2022.10029414
Omid Hazbeh, Hamzeh Ghorbani, Omid Molaei, Milad Shayanmanesh, S. Lajmorak, R. Rituraj
One of the main duties of production engineers is to maintain the reservoir productivity and keep it at a desirable level during the production time by preventing extra production and controlling the production through wellhead chokes. Wellhead chokes are tools that are installed in flowing pipes to resist the pressure, limit and control the production, prevent water and gas coning, and control the pressure in order to maintain the wellhead equipment in good working order. Wellhead chokes, which are installed in well flow, are divided into two main groups: positive or fixed chokes and adjustable or variable chokes. Passing flow rate through wellhead chokes is a function of wellhead pressure, choke diameter, before choke temperature, and water production rate. The objective of this work is to propose a new model for the estimation of the oil rate passing through wellhead chokes. In this study, 180 actual tested data for 5 wells from a heavy crude oil field were used to develop a new model for estimating oil rate passing through wellhead chokes. The proposed model has an average relative error of about 5.8%.
{"title":"Proposing a New Model for Estimation of Oil Rate Passing Through Wellhead Chokes in an Iranian Heavy Oil Field","authors":"Omid Hazbeh, Hamzeh Ghorbani, Omid Molaei, Milad Shayanmanesh, S. Lajmorak, R. Rituraj","doi":"10.1109/CINTI-MACRo57952.2022.10029414","DOIUrl":"https://doi.org/10.1109/CINTI-MACRo57952.2022.10029414","url":null,"abstract":"One of the main duties of production engineers is to maintain the reservoir productivity and keep it at a desirable level during the production time by preventing extra production and controlling the production through wellhead chokes. Wellhead chokes are tools that are installed in flowing pipes to resist the pressure, limit and control the production, prevent water and gas coning, and control the pressure in order to maintain the wellhead equipment in good working order. Wellhead chokes, which are installed in well flow, are divided into two main groups: positive or fixed chokes and adjustable or variable chokes. Passing flow rate through wellhead chokes is a function of wellhead pressure, choke diameter, before choke temperature, and water production rate. The objective of this work is to propose a new model for the estimation of the oil rate passing through wellhead chokes. In this study, 180 actual tested data for 5 wells from a heavy crude oil field were used to develop a new model for estimating oil rate passing through wellhead chokes. The proposed model has an average relative error of about 5.8%.","PeriodicalId":18535,"journal":{"name":"Micro","volume":"19 1","pages":"000037-000044"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77997199","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 : 2022-11-21DOI: 10.1109/CINTI-MACRo57952.2022.10029553
Konstantin Shmyrev, Ilya Makarov
In the field of drug production, machine learning methods have already established themselves as a reliable tool for performing various tasks, among which are the prediction of the structure of biologically active molecules and the initial selection of drug candidates. Predictive models based on machine learning have gained great importance almost at every stage of drug development process significantly reducing the financial and time costs for the discovery of a new drug. Despite this, to date there are only a few review papers covering their use in the preparation and production of new drugs. The main goal of this work is to explore the usage of machine learning methods in the field of drug discovery and development as well as to structure the knowledge about some of machine learning methods that are already used in the drug development process. Such an analysis of the current state of affairs in the chosen field will give us an idea of the future prospects for the development of chemical informatics, of the limitations that modern scientists face, as well as possible ways to overcome them. The second part of the work is devoted to experimental work with some of the commonly machine learning algorithms in drug discovery and development. We constructed a Neural Network and managed to tune some hyperparameters on the datasets to outperform some benchmarks.
{"title":"Neural Drug Discovery","authors":"Konstantin Shmyrev, Ilya Makarov","doi":"10.1109/CINTI-MACRo57952.2022.10029553","DOIUrl":"https://doi.org/10.1109/CINTI-MACRo57952.2022.10029553","url":null,"abstract":"In the field of drug production, machine learning methods have already established themselves as a reliable tool for performing various tasks, among which are the prediction of the structure of biologically active molecules and the initial selection of drug candidates. Predictive models based on machine learning have gained great importance almost at every stage of drug development process significantly reducing the financial and time costs for the discovery of a new drug. Despite this, to date there are only a few review papers covering their use in the preparation and production of new drugs. The main goal of this work is to explore the usage of machine learning methods in the field of drug discovery and development as well as to structure the knowledge about some of machine learning methods that are already used in the drug development process. Such an analysis of the current state of affairs in the chosen field will give us an idea of the future prospects for the development of chemical informatics, of the limitations that modern scientists face, as well as possible ways to overcome them. The second part of the work is devoted to experimental work with some of the commonly machine learning algorithms in drug discovery and development. We constructed a Neural Network and managed to tune some hyperparameters on the datasets to outperform some benchmarks.","PeriodicalId":18535,"journal":{"name":"Micro","volume":"33 1","pages":"000279-000286"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87467703","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 : 2022-11-21DOI: 10.1109/CINTI-MACRo57952.2022.10029478
M. Fgaier, Z. Zrubka
Chatbots are automated conversation agents which are initiated through text and/ or voice messages using smartphones, computers, or other connected devices. The implementation of chatbot technology in healthcare has been growing during the recent years and chatbots are increasingly used in diagnostic tools or for patient management. Through the years, a moderate amount and mixed quality evidence has been generated on the efficacy and safety of healthcare chatbots, and despite their cost-saving potential, research on their cost-effectiveness has been scarce. The aim of this paper is to systematically review the methods and results of cost-effectiveness studies involving healthcare chatbots. Literature search was executed via PubMed and Web of Science. Two studies fulfilled the inclusion criteria and were included in this systematic review. A descriptive summary was performed. The reporting quality of both studies was poor. Both studies indicated that their cost-effectiveness measurements were study-based but only one study reported actuals costs. Cost effectiveness referred to resource savings on healthcare processes, but patients’ health outcomes were not measured, and incremental cost-effectiveness ratios were not reported. Therefore, the cost-effectiveness of healthcare chatbots should be further assessed by formal health economic evaluations.
聊天机器人是通过智能手机、电脑或其他连接设备通过文本和/或语音信息发起的自动对话代理。近年来，聊天机器人技术在医疗保健领域的应用一直在增长，聊天机器人越来越多地用于诊断工具或患者管理。多年来，关于医疗聊天机器人的有效性和安全性的证据数量适中，质量参差不齐，尽管它们具有节省成本的潜力，但对其成本效益的研究却很少。本文的目的是系统地回顾涉及医疗聊天机器人的成本效益研究的方法和结果。文献检索通过PubMed和Web of Science进行。两项研究符合纳入标准，被纳入本系统综述。进行了描述性总结。两项研究的报告质量都很差。两项研究都表明，它们的成本效益衡量是以研究为基础的，但只有一项研究报告了实际成本。成本效益指的是医疗保健过程中的资源节约，但没有衡量患者的健康结果，也没有报告增量成本效益比。因此，医疗聊天机器人的成本效益应该通过正式的卫生经济评估来进一步评估。
{"title":"Cost-effectiveness of using chatbots in healthcare: a systematic review","authors":"M. Fgaier, Z. Zrubka","doi":"10.1109/CINTI-MACRo57952.2022.10029478","DOIUrl":"https://doi.org/10.1109/CINTI-MACRo57952.2022.10029478","url":null,"abstract":"Chatbots are automated conversation agents which are initiated through text and/ or voice messages using smartphones, computers, or other connected devices. The implementation of chatbot technology in healthcare has been growing during the recent years and chatbots are increasingly used in diagnostic tools or for patient management. Through the years, a moderate amount and mixed quality evidence has been generated on the efficacy and safety of healthcare chatbots, and despite their cost-saving potential, research on their cost-effectiveness has been scarce. The aim of this paper is to systematically review the methods and results of cost-effectiveness studies involving healthcare chatbots. Literature search was executed via PubMed and Web of Science. Two studies fulfilled the inclusion criteria and were included in this systematic review. A descriptive summary was performed. The reporting quality of both studies was poor. Both studies indicated that their cost-effectiveness measurements were study-based but only one study reported actuals costs. Cost effectiveness referred to resource savings on healthcare processes, but patients’ health outcomes were not measured, and incremental cost-effectiveness ratios were not reported. Therefore, the cost-effectiveness of healthcare chatbots should be further assessed by formal health economic evaluations.","PeriodicalId":18535,"journal":{"name":"Micro","volume":"2013 1","pages":"000305-000310"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88126658","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 : 2022-11-21DOI: 10.1109/CINTI-MACRo57952.2022.10029646
Bence Tureczki, Henriette Steiner-Komoróczki, K. Szenes
This article presents a blockchain-supported evaluation and publishing method for kinematic models. As a modeling tool, OpenSim was chosen. The blockchain facilitates the hiding of the private part of the model, preserving the authors’ rights, and, at the same time, the publication of that part to be evaluated. For this evaluation, such excellence criteria are offered that were originally created for supporting corporate activities. The secret part of the model is tokenized by Ethereum-based NFTs (Non-Fungible Tokens). These tokens will provide for copyright issues.
{"title":"A Blockchain-based Dynamic Support of Kinematic Testing","authors":"Bence Tureczki, Henriette Steiner-Komoróczki, K. Szenes","doi":"10.1109/CINTI-MACRo57952.2022.10029646","DOIUrl":"https://doi.org/10.1109/CINTI-MACRo57952.2022.10029646","url":null,"abstract":"This article presents a blockchain-supported evaluation and publishing method for kinematic models. As a modeling tool, OpenSim was chosen. The blockchain facilitates the hiding of the private part of the model, preserving the authors’ rights, and, at the same time, the publication of that part to be evaluated. For this evaluation, such excellence criteria are offered that were originally created for supporting corporate activities. The secret part of the model is tokenized by Ethereum-based NFTs (Non-Fungible Tokens). These tokens will provide for copyright issues.","PeriodicalId":18535,"journal":{"name":"Micro","volume":"101 1","pages":"000329-000334"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75998494","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 : 2022-11-21DOI: 10.1109/CINTI-MACRo57952.2022.10029575
Ilona Tompa, P. Bakucz, Kiss Gabor
In this paper, we outline the analysis of a traffic node’s safety using a fuzzy fault tree method and a small-scaled model to gain information on the reliability of the node. The reliability of the dynamics of the node is determined by using the fuzzy FTA optimized minimal cut set procedure in a planned, small-scaled real environment, which requires testing the procedure in real-time and in an embedded environment. The optimization is based on percolation theory.
{"title":"Determining traffic node reliability by fuzzy fault tree analysis and small scaled model","authors":"Ilona Tompa, P. Bakucz, Kiss Gabor","doi":"10.1109/CINTI-MACRo57952.2022.10029575","DOIUrl":"https://doi.org/10.1109/CINTI-MACRo57952.2022.10029575","url":null,"abstract":"In this paper, we outline the analysis of a traffic node’s safety using a fuzzy fault tree method and a small-scaled model to gain information on the reliability of the node. The reliability of the dynamics of the node is determined by using the fuzzy FTA optimized minimal cut set procedure in a planned, small-scaled real environment, which requires testing the procedure in real-time and in an embedded environment. The optimization is based on percolation theory.","PeriodicalId":18535,"journal":{"name":"Micro","volume":"29 1","pages":"000411-000418"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76815968","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 : 2022-11-21DOI: 10.1109/CINTI-MACRo57952.2022.10029615
Dacian Avramoni, Roxana Virlan, L. Prodan, A. Iovanovici
Gesture identification represents one way of monitoring adherence to medical treatment for cognitive-impaired individuals, dementia-related conditions being severely dependent on precise medication. This paper proposes a gesture identification algorithm used to detect the pill ingestion, that runs on an inexpensive smart wearable device. We use techniques pertaining to supervised machine learning and the data set is processed with the Keras framework. Data collected is represented by acceleration values supplied by the wearable and is proceed on the wearable device itself, showing high accuracy results in identifying the pill intake gesture. The trained model is deployed in a resource constrained embedded device and the inferences is carried locally onto the device.
{"title":"Detection of Pill Intake Associated Gestures using Smart Wearables and Machine Learning","authors":"Dacian Avramoni, Roxana Virlan, L. Prodan, A. Iovanovici","doi":"10.1109/CINTI-MACRo57952.2022.10029615","DOIUrl":"https://doi.org/10.1109/CINTI-MACRo57952.2022.10029615","url":null,"abstract":"Gesture identification represents one way of monitoring adherence to medical treatment for cognitive-impaired individuals, dementia-related conditions being severely dependent on precise medication. This paper proposes a gesture identification algorithm used to detect the pill ingestion, that runs on an inexpensive smart wearable device. We use techniques pertaining to supervised machine learning and the data set is processed with the Keras framework. Data collected is represented by acceleration values supplied by the wearable and is proceed on the wearable device itself, showing high accuracy results in identifying the pill intake gesture. The trained model is deployed in a resource constrained embedded device and the inferences is carried locally onto the device.","PeriodicalId":18535,"journal":{"name":"Micro","volume":"18 1","pages":"000251-000256"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82096964","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 : 2022-11-21DOI: 10.1109/CINTI-MACRo57952.2022.10029432
Zsolt Krutilla, A. Kovari
Natural language processing with computers, i.e. NLP, is increasingly gaining ground in today's IT. The purpose of this study is to analyze the articles published in the NLP topic and to summarize it from several aspects, especially with regards to the development and practical application of the technology. The idea of NLP as a technology was not formulated in the 21st century, but already in the 1950s, relevant research was carried out and theories were created regarding how a machine can become capable of interpreting human speech. Technology has come a long way from simple algorithms to Deep Learning, but it has not yet solved the problem of machine processing of natural language. The research has confirmed the idea that mathematical modelling and models based on statistical probability dominated the field in the early days of the discipline and before the advent of computers. However, despite technological progress, no solution has yet been found to the comprehensive and all-encompassing problem of natural language processing with computers. To determine the future research area of NLP, we need to take into account the text files on which the technology is based. From this perspective, we can focus on the insurance and banking sectors, where a series of administrative processes take place where centralized paper processing is the incoming data set of the process and a database going back several years may be available.
{"title":"The origin and primary areas of application of natural language processing","authors":"Zsolt Krutilla, A. Kovari","doi":"10.1109/CINTI-MACRo57952.2022.10029432","DOIUrl":"https://doi.org/10.1109/CINTI-MACRo57952.2022.10029432","url":null,"abstract":"Natural language processing with computers, i.e. NLP, is increasingly gaining ground in today's IT. The purpose of this study is to analyze the articles published in the NLP topic and to summarize it from several aspects, especially with regards to the development and practical application of the technology. The idea of NLP as a technology was not formulated in the 21st century, but already in the 1950s, relevant research was carried out and theories were created regarding how a machine can become capable of interpreting human speech. Technology has come a long way from simple algorithms to Deep Learning, but it has not yet solved the problem of machine processing of natural language. The research has confirmed the idea that mathematical modelling and models based on statistical probability dominated the field in the early days of the discipline and before the advent of computers. However, despite technological progress, no solution has yet been found to the comprehensive and all-encompassing problem of natural language processing with computers. To determine the future research area of NLP, we need to take into account the text files on which the technology is based. From this perspective, we can focus on the insurance and banking sectors, where a series of administrative processes take place where centralized paper processing is the incoming data set of the process and a database going back several years may be available.","PeriodicalId":18535,"journal":{"name":"Micro","volume":"36 1","pages":"000293-000298"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82324113","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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