Pub Date : 2023-06-02DOI: 10.37394/23202.2023.22.58
A. Kirichuka, F. Sadyrbaev
Two-point boundary value problems for second-order ordinary differential equations of Lie´nard type are studied. A comparison is made between equations x´´ + f (x) x´2 + g(x) = 0 and x´´ + f (x) x´ + g(x) = 0. In our approach, the Dirichlet boundary conditions are considered. The estimates of the number of solutions in both cases are obtained. These estimates are based on considering the equation of variations around the trivial solution and some additional assumptions. Examples and visualizations are supplied.
研究了一类二阶Lie ' nard型常微分方程的两点边值问题。比较了方程x′′+ f (x) x′2 + g(x) = 0和方程x′′+ f (x) x′+ g(x) = 0。在我们的方法中，考虑了狄利克雷边界条件。得到了两种情况下解的估计数目。这些估计是基于考虑围绕平凡解的变化方程和一些额外的假设。提供了示例和可视化。
{"title":"Multiple Solutions for Lie´nard Type Generalized Equations","authors":"A. Kirichuka, F. Sadyrbaev","doi":"10.37394/23202.2023.22.58","DOIUrl":"https://doi.org/10.37394/23202.2023.22.58","url":null,"abstract":"Two-point boundary value problems for second-order ordinary differential equations of Lie´nard type are studied. A comparison is made between equations x´´ + f (x) x´2 + g(x) = 0 and x´´ + f (x) x´ + g(x) = 0. In our approach, the Dirichlet boundary conditions are considered. The estimates of the number of solutions in both cases are obtained. These estimates are based on considering the equation of variations around the trivial solution and some additional assumptions. Examples and visualizations are supplied.","PeriodicalId":39422,"journal":{"name":"WSEAS Transactions on Systems and Control","volume":"69 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76699262","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 : 2023-06-02DOI: 10.37394/23202.2023.22.59
Ming Zhu, E. Agyingi
The consequences of the COVID-19 pandemic that originated in Wuhan, China in 2019 are still being felt globally. At the onset of the pandemic, countries had several measures in place to prevent the spread of the virus. The development and availability of COVID-19 vaccines turned out to be one of the most effective tools for containing the pandemic, especially in developed countries. This paper considers a model of COVID-19 breakthrough infections, which are cases where individuals become infected with COVID-19 despite being fully vaccinated. The model proposed is a type of the SIR model with a compartment accounting for vaccinated individuals and is governed by a system of differential equations. We compute the basic reproduction number of the model and use it to analyze the equilibria for both local and global stability. Further, we use numerical simulations of the model to understand the factors that contribute to breakthrough infections such as vaccination rates, vaccine efficacy, and virus transmission dynamics.
{"title":"Modeling COVID-19 Breakthrough Infections in a Vaccinated Population","authors":"Ming Zhu, E. Agyingi","doi":"10.37394/23202.2023.22.59","DOIUrl":"https://doi.org/10.37394/23202.2023.22.59","url":null,"abstract":"The consequences of the COVID-19 pandemic that originated in Wuhan, China in 2019 are still being felt globally. At the onset of the pandemic, countries had several measures in place to prevent the spread of the virus. The development and availability of COVID-19 vaccines turned out to be one of the most effective tools for containing the pandemic, especially in developed countries. This paper considers a model of COVID-19 breakthrough infections, which are cases where individuals become infected with COVID-19 despite being fully vaccinated. The model proposed is a type of the SIR model with a compartment accounting for vaccinated individuals and is governed by a system of differential equations. We compute the basic reproduction number of the model and use it to analyze the equilibria for both local and global stability. Further, we use numerical simulations of the model to understand the factors that contribute to breakthrough infections such as vaccination rates, vaccine efficacy, and virus transmission dynamics.","PeriodicalId":39422,"journal":{"name":"WSEAS Transactions on Systems and Control","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84636603","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 : 2023-05-29DOI: 10.37394/23202.2023.22.57
Mariarosaria Picone, Arcangelo Errichiello, A. Cartenì
Safety in automotive systems has been a major concern since the early days of vehicles on the road. In recent decades, automakers worked hard to integrate Advanced Driver Assistance Systems (ADAS) into their vehicles. The aim of the paper is twofold: i) investigate the ADAS evolution over time, a trend that has made current cars safer and paved the way for self-driving mobility; ii) investigate the users’ propensity in using steering wheel controls which, as known, promise an increase in road safety. To do this, both a desk analysis and a mobility survey among Italian car drivers were performed. Survey results allowed us to investigate both the presence of these systems on board the vehicles currently used and their frequency of usage. Precisely, 60% of the respondents currently have the steering wheel controls on board their car to listen to music and/or answer calls. Of those who have these devices, about 60% (68%) of the respondents frequently (high) use steering wheel controls to answer calls (to listen to music). 82% (74%) of the drivers stated that these devices to answer calls (to listen to music) significantly improve both road safety and driving stress, (improve the overall travel experience). Furthermore, it is interesting to observe that steering wheel controls to answer calls are perceived as more useful than those to listen to music (about 8 percentage points more). Finally, among those who do not have steering wheel controls, 89% of the respondents believed they would like to have them in their next car.
{"title":"How Often are ADAS Used? Results of a Car Drivers’ Survey","authors":"Mariarosaria Picone, Arcangelo Errichiello, A. Cartenì","doi":"10.37394/23202.2023.22.57","DOIUrl":"https://doi.org/10.37394/23202.2023.22.57","url":null,"abstract":"Safety in automotive systems has been a major concern since the early days of vehicles on the road. In recent decades, automakers worked hard to integrate Advanced Driver Assistance Systems (ADAS) into their vehicles. The aim of the paper is twofold: i) investigate the ADAS evolution over time, a trend that has made current cars safer and paved the way for self-driving mobility; ii) investigate the users’ propensity in using steering wheel controls which, as known, promise an increase in road safety. To do this, both a desk analysis and a mobility survey among Italian car drivers were performed. Survey results allowed us to investigate both the presence of these systems on board the vehicles currently used and their frequency of usage. Precisely, 60% of the respondents currently have the steering wheel controls on board their car to listen to music and/or answer calls. Of those who have these devices, about 60% (68%) of the respondents frequently (high) use steering wheel controls to answer calls (to listen to music). 82% (74%) of the drivers stated that these devices to answer calls (to listen to music) significantly improve both road safety and driving stress, (improve the overall travel experience). Furthermore, it is interesting to observe that steering wheel controls to answer calls are perceived as more useful than those to listen to music (about 8 percentage points more). Finally, among those who do not have steering wheel controls, 89% of the respondents believed they would like to have them in their next car.","PeriodicalId":39422,"journal":{"name":"WSEAS Transactions on Systems and Control","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74038225","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 : 2023-05-29DOI: 10.37394/23202.2023.22.54
Nuanpan Lawson
Air pollution affects Thai people's health and social life nowadays as it exceeds the standards levels of both Thailand and the World Health Organization. Estimating air pollution data can benefit understanding and determining policies to help deal with this issue. Prior knowledge from past surveys or censuses could be useful for increasing the effect of the estimation. Improved ratio estimators utilizing prior knowledge in simple random sampling without replacement have been advocated. The property of the mean square error of the proposed class of estimators is obtained. We applied the proposed estimators to the fine particulate matter data in Dindang in 2019. The results from the air pollution data illustrate the improved ratio type estimators work better with respect to the existing estimator using some prior information. Existing knowledge of the quartile average and the median of the auxiliary variable gives rise to the best estimators with the lowest mean square errors for estimating fine particulate matter. Nevertheless, the proposed estimators are useful for small sampling fractions which can help in financial and time-consuming.
{"title":"Improved Ratio Type Estimators using some Prior Information in Sample Surveys: A Case Study of Fine Particulate Matter in Thailand","authors":"Nuanpan Lawson","doi":"10.37394/23202.2023.22.54","DOIUrl":"https://doi.org/10.37394/23202.2023.22.54","url":null,"abstract":"Air pollution affects Thai people's health and social life nowadays as it exceeds the standards levels of both Thailand and the World Health Organization. Estimating air pollution data can benefit understanding and determining policies to help deal with this issue. Prior knowledge from past surveys or censuses could be useful for increasing the effect of the estimation. Improved ratio estimators utilizing prior knowledge in simple random sampling without replacement have been advocated. The property of the mean square error of the proposed class of estimators is obtained. We applied the proposed estimators to the fine particulate matter data in Dindang in 2019. The results from the air pollution data illustrate the improved ratio type estimators work better with respect to the existing estimator using some prior information. Existing knowledge of the quartile average and the median of the auxiliary variable gives rise to the best estimators with the lowest mean square errors for estimating fine particulate matter. Nevertheless, the proposed estimators are useful for small sampling fractions which can help in financial and time-consuming.","PeriodicalId":39422,"journal":{"name":"WSEAS Transactions on Systems and Control","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84397170","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 : 2023-05-29DOI: 10.37394/23202.2023.22.55
Marta Narigina, Arturs Kempelis, A. Romānovs
This article presents a study that explores forecasting methods for multivariate time series data, which was collected from sensors monitoring CO2, temperature, and humidity. The article covers the preprocessing stages, such as dealing with missing values, data normalization, and organizing the time-series data into a suitable format for the model. This study aimed to evaluate Long Short-Term Memory (LSTM) networks, Convolutional Neural Networks (CNNs), Vector Autoregressive (VAR) models, Artificial Neural Networks (ANNs), and Random Forest performance in terms of forecasting different environmental dataset parameters. After implementing and testing fifteen different sensor forecast model combinations, it was concluded that the Long Short-Term Memory and Vector Autoregression models produced the most accurate results. The highest accuracy for all models was achieved when forecasting temperature data with CO2 and humidity as inputs. The least accurate models forecasted CO2 levels based on temperature and humidity.
{"title":"Machine Learning-based Forecasting of Sensor Data for Enhanced Environmental Sensing","authors":"Marta Narigina, Arturs Kempelis, A. Romānovs","doi":"10.37394/23202.2023.22.55","DOIUrl":"https://doi.org/10.37394/23202.2023.22.55","url":null,"abstract":"This article presents a study that explores forecasting methods for multivariate time series data, which was collected from sensors monitoring CO2, temperature, and humidity. The article covers the preprocessing stages, such as dealing with missing values, data normalization, and organizing the time-series data into a suitable format for the model. This study aimed to evaluate Long Short-Term Memory (LSTM) networks, Convolutional Neural Networks (CNNs), Vector Autoregressive (VAR) models, Artificial Neural Networks (ANNs), and Random Forest performance in terms of forecasting different environmental dataset parameters. After implementing and testing fifteen different sensor forecast model combinations, it was concluded that the Long Short-Term Memory and Vector Autoregression models produced the most accurate results. The highest accuracy for all models was achieved when forecasting temperature data with CO2 and humidity as inputs. The least accurate models forecasted CO2 levels based on temperature and humidity.","PeriodicalId":39422,"journal":{"name":"WSEAS Transactions on Systems and Control","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86705437","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 : 2023-05-29DOI: 10.37394/23202.2023.22.56
Ioannis Karamanlis, A. Kokkalis, V. Profillidis, G. Botzoris, A. Galanis
The utilization of conclusions from the data analysis of road traffic accidents is of high importance for the development of targeted traffic safety measures, which will effectively reduce the rate of road traffic accidents, thus promoting road safety. Considering the problems of time and money, it is not practical to improve road safety in all the places where road traffic accidents occur. Therefore, the process of identifying accident-prone locations, known as black spots, is a cost-effective and efficient way to analyze the causes of road accidents and reduce them. Identifying black spots is an effective strategy to reduce accidents. The core methods that may be used in the process of identifying the black spots of a road network are the sorting, grouping, and accident prediction methods. However, in practice, it is easy to overlook certain factors that significantly contribute to defining and characterizing a spot on the road network as black. Therefore, suggestions to carry out projects required to reduce security risks shall not be based on the above methods. Machine learning algorithms that in recent years have been widely used in the field of predicting a road traffic accident cover these weaknesses. They can effectively classify data sets and make a connection between factors and the severity of events. Machine learning algorithms include classification, regression, clustering, and dimensionality reduction. In this work, a study was conducted on road traffic accidents that took place on the national and provincial network of Northern Greece from 2014 to 2018, with the aim of determining the black spots. The study provided the general public access to a database of black spots on the road network of Northern Greece. At the same time, it created a point of reference for the recognition of the points in question located on the entire road network, and selected a black spot determination model, after having compared specific measures to determine the quality of a model, which resulted from the application of a logistic regression and machine learning algorithms.
{"title":"Identifying Road Accident Black Spots using Classical and Modern Approaches","authors":"Ioannis Karamanlis, A. Kokkalis, V. Profillidis, G. Botzoris, A. Galanis","doi":"10.37394/23202.2023.22.56","DOIUrl":"https://doi.org/10.37394/23202.2023.22.56","url":null,"abstract":"The utilization of conclusions from the data analysis of road traffic accidents is of high importance for the development of targeted traffic safety measures, which will effectively reduce the rate of road traffic accidents, thus promoting road safety. Considering the problems of time and money, it is not practical to improve road safety in all the places where road traffic accidents occur. Therefore, the process of identifying accident-prone locations, known as black spots, is a cost-effective and efficient way to analyze the causes of road accidents and reduce them. Identifying black spots is an effective strategy to reduce accidents. The core methods that may be used in the process of identifying the black spots of a road network are the sorting, grouping, and accident prediction methods. However, in practice, it is easy to overlook certain factors that significantly contribute to defining and characterizing a spot on the road network as black. Therefore, suggestions to carry out projects required to reduce security risks shall not be based on the above methods. Machine learning algorithms that in recent years have been widely used in the field of predicting a road traffic accident cover these weaknesses. They can effectively classify data sets and make a connection between factors and the severity of events. Machine learning algorithms include classification, regression, clustering, and dimensionality reduction. In this work, a study was conducted on road traffic accidents that took place on the national and provincial network of Northern Greece from 2014 to 2018, with the aim of determining the black spots. The study provided the general public access to a database of black spots on the road network of Northern Greece. At the same time, it created a point of reference for the recognition of the points in question located on the entire road network, and selected a black spot determination model, after having compared specific measures to determine the quality of a model, which resulted from the application of a logistic regression and machine learning algorithms.","PeriodicalId":39422,"journal":{"name":"WSEAS Transactions on Systems and Control","volume":"155 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73441644","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 : 2023-05-26DOI: 10.37394/23202.2023.22.53
M. Seda
The graph colouring problem is one of the most studied combinatorial optimisation problems, one with many applications, e.g., in timetabling, resource assignment, team-building problems, network analysis, and cartography. Because of its NP-hardness, the question arises of its solvability for larger instances. Instead of the traditional approaches based on the use of approximate or stochastic heuristic methods, we focus here on the direct use of an integer programming model in the GAMS environment. This environment makes it possible to solve instances much larger than in the past. Neither does it require complex parameter settings or statistical evaluation of the results as in the case of stochastic heuristics because the computational core of software tools, nested in GAMS, is deterministic in nature.
{"title":"Integer Programming Approach to Graph Colouring Problem and Its Implementation in GAMS","authors":"M. Seda","doi":"10.37394/23202.2023.22.53","DOIUrl":"https://doi.org/10.37394/23202.2023.22.53","url":null,"abstract":"The graph colouring problem is one of the most studied combinatorial optimisation problems, one with many applications, e.g., in timetabling, resource assignment, team-building problems, network analysis, and cartography. Because of its NP-hardness, the question arises of its solvability for larger instances. Instead of the traditional approaches based on the use of approximate or stochastic heuristic methods, we focus here on the direct use of an integer programming model in the GAMS environment. This environment makes it possible to solve instances much larger than in the past. Neither does it require complex parameter settings or statistical evaluation of the results as in the case of stochastic heuristics because the computational core of software tools, nested in GAMS, is deterministic in nature.","PeriodicalId":39422,"journal":{"name":"WSEAS Transactions on Systems and Control","volume":"73 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85752367","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 : 2023-05-26DOI: 10.37394/23202.2023.22.52
K. Kotoula, G. Botzoris
Travel demand modelling for school travel, remains a subject of limited research. The exploitation of factors influencing parents in school mode choice and the understanding of the significance parents attribute to these factors is important, contributing to transport planning and leading to a strategic direction with an ultimate scope to improve the school transportation system and promote the use of alternative transport modes for upgrading the living environment and quality of life in general. The current paper examines the development of a Structural Equation Model (SEM) describing the interrelationships between the factors influencing parents in the decision-making process and the final mode choice. For that, a questionnaire survey is conducted for parents of children aged six to eighteen years old. The collected data are analysed through Exploratory and Confirmatory Factor Analysis. Following, an SEM is developed examining the proposed authors' conceptual model, basic hypotheses of school travel choice, and direct and indirect correlations of factors composing parental behaviour.
{"title":"Decoding Behavioural Norms in School Mobility: A Structural Equation Modelling Analysis","authors":"K. Kotoula, G. Botzoris","doi":"10.37394/23202.2023.22.52","DOIUrl":"https://doi.org/10.37394/23202.2023.22.52","url":null,"abstract":"Travel demand modelling for school travel, remains a subject of limited research. The exploitation of factors influencing parents in school mode choice and the understanding of the significance parents attribute to these factors is important, contributing to transport planning and leading to a strategic direction with an ultimate scope to improve the school transportation system and promote the use of alternative transport modes for upgrading the living environment and quality of life in general. The current paper examines the development of a Structural Equation Model (SEM) describing the interrelationships between the factors influencing parents in the decision-making process and the final mode choice. For that, a questionnaire survey is conducted for parents of children aged six to eighteen years old. The collected data are analysed through Exploratory and Confirmatory Factor Analysis. Following, an SEM is developed examining the proposed authors' conceptual model, basic hypotheses of school travel choice, and direct and indirect correlations of factors composing parental behaviour.","PeriodicalId":39422,"journal":{"name":"WSEAS Transactions on Systems and Control","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84504642","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 : 2023-05-22DOI: 10.37394/23202.2023.22.49
O. Bilovodska, Sofia Komarynets, N. Mykhalchyshyn, I. Kantsir, Olena Trevogo, O. Hoshovska
The academic paper aims to explore the possibility of industrial region development reorienting based on alternative terms using unique resources. The primary purposes of the study are to analyse the availability, status, and level of competition and competitive advantages in the market of unique resources. The main methods applied in the article are analysis and, in particular, SWOT analysis, comparison, and generalisation, which have been used to achieve the aim and primary purposes outlined. The study’s main findings confirm that the industrial region’s essential unique resources could be multifaceted tourist resources, particularly geographical location, favourable climate, historical or other attractiveness, environmental friendliness, safety, and more. Based on the concept of the national diamond of M. Porter, possible unique tourist resources, which are the development factors of the market of tourist services in a typical industrial region, have been identified. Based on the concept of driving forces, favourable factors influencing the development of the region’s market of tourist services in the postwar period, such as shifting consumer preferences, innovation promotion technics, etc., have been established in the study. The results of the study suggest that unique resources belonging to the strengths of the industrial region in combination with other strengths can reinforce regional development opportunities and reduce the weaknesses.
{"title":"Sustainable Development of the Industrial Region based on Competitive Advantages Related to Unique Resources: Tourism Aspect","authors":"O. Bilovodska, Sofia Komarynets, N. Mykhalchyshyn, I. Kantsir, Olena Trevogo, O. Hoshovska","doi":"10.37394/23202.2023.22.49","DOIUrl":"https://doi.org/10.37394/23202.2023.22.49","url":null,"abstract":"The academic paper aims to explore the possibility of industrial region development reorienting based on alternative terms using unique resources. The primary purposes of the study are to analyse the availability, status, and level of competition and competitive advantages in the market of unique resources. The main methods applied in the article are analysis and, in particular, SWOT analysis, comparison, and generalisation, which have been used to achieve the aim and primary purposes outlined. The study’s main findings confirm that the industrial region’s essential unique resources could be multifaceted tourist resources, particularly geographical location, favourable climate, historical or other attractiveness, environmental friendliness, safety, and more. Based on the concept of the national diamond of M. Porter, possible unique tourist resources, which are the development factors of the market of tourist services in a typical industrial region, have been identified. Based on the concept of driving forces, favourable factors influencing the development of the region’s market of tourist services in the postwar period, such as shifting consumer preferences, innovation promotion technics, etc., have been established in the study. The results of the study suggest that unique resources belonging to the strengths of the industrial region in combination with other strengths can reinforce regional development opportunities and reduce the weaknesses.","PeriodicalId":39422,"journal":{"name":"WSEAS Transactions on Systems and Control","volume":"47 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75957106","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 : 2023-05-22DOI: 10.37394/23202.2023.22.51
Fengde Chen, Y. Chong, Shang-Feng Chen
During the past decade, many scholars have investigated the dynamic behaviors of the ecosystem with Michaelis-Menten-type harvesting; however, most of them assume that the harvesting effort does not change with time. Such an assumption has its drawbacks. Generally speaking, the rate of increase in harvesting effort changes with the density of the species. Inspired by this, we put forth a novel form of single-population feedback control model, in which the feedback control variable is of the Michaelis-Menten-type. Sufficient conditions that ensure the permanence and global attractivity of the system are obtained.
{"title":"Permanence and Global Attractivity of a Non-autonomous Single Species System with Michaelis-Menten-Type Feedback Control","authors":"Fengde Chen, Y. Chong, Shang-Feng Chen","doi":"10.37394/23202.2023.22.51","DOIUrl":"https://doi.org/10.37394/23202.2023.22.51","url":null,"abstract":"During the past decade, many scholars have investigated the dynamic behaviors of the ecosystem with Michaelis-Menten-type harvesting; however, most of them assume that the harvesting effort does not change with time. Such an assumption has its drawbacks. Generally speaking, the rate of increase in harvesting effort changes with the density of the species. Inspired by this, we put forth a novel form of single-population feedback control model, in which the feedback control variable is of the Michaelis-Menten-type. Sufficient conditions that ensure the permanence and global attractivity of the system are obtained.","PeriodicalId":39422,"journal":{"name":"WSEAS Transactions on Systems and Control","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80923366","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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