Pub Date : 2021-05-21DOI: 10.4236/ojmsi.2021.93015
Xiao Lang
The high-strength bolted end plate connection is widely used in the construction industry with its green environmental protection and excellent seismic performance. The joints of the joints are semi-rigid, the force performance is extremely complicated, and the experimental research cost is relatively high, and the cycle is very long. Therefore, the establishment of an efficient numerical model is of great significance for evaluating the force performance of high-strength bolt end plates. In this paper, the influence of different material models on the rotation performance of the joint is studied by numerical simulation, and the bending moment-rotation curve is obtained. The numerical simulation and the experimental results are in good agreement, so as to provide a reference for the design and application of this kind of joint.
{"title":"Numerical Model Research on Rotational Performance of Beam-Column High-Strength Bolt Extension End-Plate Connection Node","authors":"Xiao Lang","doi":"10.4236/ojmsi.2021.93015","DOIUrl":"https://doi.org/10.4236/ojmsi.2021.93015","url":null,"abstract":"The high-strength \u0000bolted end plate connection is widely used in the construction industry with \u0000its green environmental protection and excellent seismic performance. The \u0000joints of the joints are semi-rigid, the force performance is extremely \u0000complicated, and the experimental research cost is relatively high, and the \u0000cycle is very long. Therefore, the establishment of an efficient numerical \u0000model is of great significance for evaluating the force performance of \u0000high-strength bolt end plates. In this paper, the influence of different \u0000material models on the rotation performance of the joint is studied by \u0000numerical simulation, and the bending moment-rotation curve is obtained. The \u0000numerical simulation and the experimental results are in good agreement, so as \u0000to provide a reference for the design and application of this kind of joint.","PeriodicalId":56990,"journal":{"name":"建模与仿真(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48947849","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 : 2021-05-21DOI: 10.4236/ojmsi.2021.93016
A. Moujahid, F. Vadillo
In this paper we build and analyze two stochastic epidemic models with death. The model assumes that only susceptible individuals (S) can get infected (I) and may die from this disease or a recovered individual becomes susceptible again (SIS model) or completely immune (SIR Model) for the remainder of the study period. Moreover, it is assumed there are no births, deaths, immigration or emigration during the study period; the community is said to be closed. In these infection disease models, there are two central questions: first it is the disease extinction or not and the second studies the time elapsed for such extinction, this paper will deal with this second question because the first answer corresponds to the basic reproduction number defined in the bibliography. More concretely, we study the mean-extinction of the diseases and the technique used here first builds the backward Kolmogorov differential equation and then solves it numerically using finite element method with FreeFem++. Our contribution and novelty are the following: however the reproduction number effectively concludes the extinction or not of the disease, it does not help to know its extinction times because example with the same reproduction numbers has very different time. Moreover, the SIS model is slower, a result that is not surprising, but this difference seems to increase in the stochastic models with respect to the deterministic ones, it is reasonable to assume some uncertainly.
{"title":"A Comparison of Deterministic and Stochastic Susceptible-Infected-Susceptible (SIS) and Susceptible-Infected-Recovered (SIR) Models","authors":"A. Moujahid, F. Vadillo","doi":"10.4236/ojmsi.2021.93016","DOIUrl":"https://doi.org/10.4236/ojmsi.2021.93016","url":null,"abstract":"In this paper we build and analyze two stochastic epidemic models with \u0000death. The model assumes that only susceptible individuals (S) can get infected (I) and may die \u0000from this disease or a recovered individual becomes susceptible again (SIS \u0000model) or completely immune (SIR Model) for the remainder of the study period. \u0000Moreover, it is assumed there are no births, deaths, immigration or emigration \u0000during the study period; the community is said to be closed. In these infection \u0000disease models, there are two central questions: first it is the disease \u0000extinction or not and the second studies the time elapsed for such extinction, \u0000this paper will deal with this second question because the first answer \u0000corresponds to the basic reproduction number defined in the bibliography. More \u0000concretely, we study the mean-extinction of the diseases and the technique used \u0000here first builds the backward Kolmogorov differential equation and then solves \u0000it numerically using finite element method with FreeFem++. Our contribution and \u0000novelty are the following: however the reproduction number effectively concludes the \u0000extinction or not of the disease, it does not help to know its extinction times \u0000because example with the same reproduction numbers has very different time. \u0000Moreover, the SIS model is slower, a result that is not surprising, but this \u0000difference seems to increase in the stochastic models with respect to the \u0000deterministic ones, it is reasonable to assume some uncertainly.","PeriodicalId":56990,"journal":{"name":"建模与仿真(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43471854","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 : 2021-05-21DOI: 10.4236/OJMSI.2021.93014
Angelo Raherinirina, Tsilefa Stefana Fandresena, A. R. Hajalalaina, H. Rabetafika, R. Rakotoarivelo, Fontaine Rafamatanantsoa
We propose a probabilistic approach to modelling the propagation of the coronavirus disease 2019 (COVID-19) in Madagascar, with all its specificities. With the strategy of the Malagasy state, which consists of isolating all suspected cases and hospitalized confirmed case, we get an epidemic model with seven compartments: susceptible (S), Exposed (E), Infected (I), Asymptomatic (A), Hospitalized (H), Cured (C) and Death (D). In addition to the classical deterministic models used in epidemiology, the stochastic model offers a natural representation of the evolution of the COVID-19 epidemic. We inferred the models with the official data provided by the COVID-19 Command Center (CCO) of Madagascar, between March and August 2020. The basic reproduction number R0 and the other parameters were estimated with a Bayesian approach. We developed an algorithm that allows having a temporal estimate of this number with confidence intervals. The estimated values are slightly lower than the international references. Generally, we were able to obtain a simple but effective model to describe the spread of the disease.
{"title":"Probabilistic Modelling of COVID-19 Dynamic in the Context of Madagascar","authors":"Angelo Raherinirina, Tsilefa Stefana Fandresena, A. R. Hajalalaina, H. Rabetafika, R. Rakotoarivelo, Fontaine Rafamatanantsoa","doi":"10.4236/OJMSI.2021.93014","DOIUrl":"https://doi.org/10.4236/OJMSI.2021.93014","url":null,"abstract":"We propose a probabilistic approach to modelling the propagation of the \u0000coronavirus disease 2019 (COVID-19) in Madagascar, with all its specificities. \u0000With the strategy of the Malagasy state, which consists of isolating all \u0000suspected cases and hospitalized confirmed case, we get an epidemic model with \u0000seven compartments: susceptible (S), Exposed (E), Infected (I), Asymptomatic \u0000(A), Hospitalized (H), Cured (C) and Death (D). In addition to the classical \u0000deterministic models used in epidemiology, the stochastic model offers a \u0000natural representation of the evolution of the COVID-19 epidemic. We inferred the models with the official data provided by the COVID-19 \u0000Command Center (CCO) of Madagascar, between March and August 2020. The basic \u0000reproduction number R0 and the other parameters were estimated \u0000with a Bayesian approach. We developed an algorithm that allows having a \u0000temporal estimate of this number with confidence intervals. The estimated \u0000values are slightly lower than the international references. Generally, we were \u0000able to obtain a simple but effective model to describe the spread of the \u0000disease.","PeriodicalId":56990,"journal":{"name":"建模与仿真(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48302466","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 : 2021-05-21DOI: 10.4236/ojmsi.2021.93020
M. Yavuz, Fatma Özlem Coşar, Fatma Günay, F. Özdemi̇r
In a short time, many illustrative studies have been conducted on the mathematical modeling and analysis of COVID-19. There are not enough studies taking into account the vaccine campaign among these studies. In this context, a mathematical model is developed to reveal the effects of vaccine treatment, which has been performed recently, on COVID-19 in this study. In the proposed model, as well as the vaccinated individuals, a five-dimensional compartment system including the susceptible, infected, exposed and recovered population is constructed. Moreover, besides the positivity, existence and uniqueness of the solution, biologically feasible region are provided. The basic reproduction number known as expected secondary infection which means that expected infection among the susceptible populations caused by this infection is evaluated. In the numerical simulations, the parameter values taken from the literature and estimated are used to perform the solutions of the proposed model. Fourth-order Runge-Kutta numerical scheme is applied to obtain the results.
{"title":"A New Mathematical Modeling of the COVID-19 Pandemic Including the Vaccination Campaign","authors":"M. Yavuz, Fatma Özlem Coşar, Fatma Günay, F. Özdemi̇r","doi":"10.4236/ojmsi.2021.93020","DOIUrl":"https://doi.org/10.4236/ojmsi.2021.93020","url":null,"abstract":"In a short time, many illustrative studies have been \u0000conducted on the mathematical modeling and analysis of COVID-19. There are not \u0000enough studies taking into account the vaccine campaign among these studies. In \u0000this context, a mathematical model is developed to reveal the effects of \u0000vaccine treatment, which has been performed recently, on COVID-19 in this \u0000study. In the proposed model, as well as the vaccinated individuals, a \u0000five-dimensional compartment system including the susceptible, infected, \u0000exposed and recovered population is constructed. Moreover, besides the \u0000positivity, existence and uniqueness of the solution, biologically feasible \u0000region are provided. The basic reproduction number known as expected secondary infection which means \u0000that expected infection among the susceptible populations caused by this \u0000infection is evaluated. In the numerical simulations, the parameter values \u0000taken from the literature and estimated are used to perform the solutions of \u0000the proposed model. Fourth-order Runge-Kutta numerical scheme is applied to \u0000obtain the results.","PeriodicalId":56990,"journal":{"name":"建模与仿真(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47472910","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 : 2021-05-21DOI: 10.4236/ojmsi.2021.93017
Angelo Raherinirina, Fontaine Rafamatanantsoa, Tsilefa Stefana Fandresena, R. Rakotoarivelo
For Madagascar, with the uncertainty over vaccines against the novel coronavirus 2019 and its variants, non-pharmaceutical approach is widely used. Our objective is to propose a mathematical control model which will serve as a tool to help decision-makers in the strategy to be implemented to better face the pandemic. By separating asymptomatic cases which are often not reported and symptomatic who are hospitalized after tests; we develop a mathematical model of the propagation of covid-19 in Madagascar, by integrating control strategies. We study the stability of the model by expressing the basic reproduction number using the next-generation matrix. Simulation with different parameters shows the effects of non-pharmaceutical measures on the speed of the disease spread. By integrating a control parameter linked to compliance with barrier measures in the virus propagation equation, we were able to show the impacts of the implementation of social distancing measures on the basic reproduction number. The strict application of social distancing measures and total confinement is unfavorable for economic situation even if they allow the contamination to be reduced quickly. Without any restrictions, the disease spreads at high speed and the peak is reached fairly quickly. In this condition, hospitals are overwhelmed and the death rate increases rapidly. With 50% respect for non-pharmaceutical strategies such as rapid detection and isolation of positive cases and barrier gestures; the basic reproduction number R0 can go down from 3 to 1.7. The pressures on the economic and social situation are rather viable. It is the most suitable for the Malagasy health system. The results proposed are a way to control the spread of the disease and limit its devastation in a country like Madagascar.
{"title":"Mathematical Model and Non-Pharmaceutical Control of the Coronavirus 2019 Disease in Madagascar","authors":"Angelo Raherinirina, Fontaine Rafamatanantsoa, Tsilefa Stefana Fandresena, R. Rakotoarivelo","doi":"10.4236/ojmsi.2021.93017","DOIUrl":"https://doi.org/10.4236/ojmsi.2021.93017","url":null,"abstract":"For Madagascar, with the uncertainty over vaccines against the novel \u0000coronavirus 2019 and its variants, non-pharmaceutical approach is widely used. \u0000Our objective is to propose a mathematical control model which will serve as a \u0000tool to help decision-makers in the strategy to be implemented to better face \u0000the pandemic. By separating asymptomatic cases which are often not reported and symptomatic \u0000who are hospitalized after tests; we develop a mathematical model of the \u0000propagation of covid-19 in Madagascar, by integrating control strategies. We \u0000study the stability of the model by expressing the basic reproduction number \u0000using the next-generation matrix. Simulation with different parameters shows \u0000the effects of non-pharmaceutical measures on the speed of the disease spread. \u0000By integrating a control parameter linked to compliance with barrier measures \u0000in the virus propagation equation, we were able to show the impacts of the \u0000implementation of social distancing measures on the basic reproduction number. \u0000The strict application of social distancing measures and total confinement is unfavorable for economic situation even if they allow the contamination to be \u0000reduced quickly. Without any restrictions, the disease spreads at high speed \u0000and the peak is reached fairly quickly. In this condition, hospitals are \u0000overwhelmed and the death rate increases rapidly. With 50% respect for \u0000non-pharmaceutical strategies such as rapid detection and isolation of positive \u0000cases and barrier gestures; the basic reproduction number R0 can go down from 3 to 1.7. The pressures on the economic and social \u0000situation are rather viable. It is the most suitable for the Malagasy health \u0000system. The results proposed are a way to control the spread of the disease and \u0000limit its devastation in a country like Madagascar.","PeriodicalId":56990,"journal":{"name":"建模与仿真(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48307666","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 : 2021-04-15DOI: 10.4236/OJMSI.2021.92008
Xinyue Wang
In order to analyze the influence of wave scouring on the vertical bearing behavior of the pile foundation, the finite element software ABAQUS was used to simulate the force of the pile foundation under the action of wave scouring. A three-dimensional finite element calculation model of the pile foundation was established according to the actual working conditions, and the calculation results were compared with the field test results to verify the correctness of the built model. Then, the influence of wave scouring depth and pile embedding depth on the vertical bearing behavior of pile foundation was analyzed through calculation examples. The analysis results showed that the greater the depth of wave erosion, the greater the impact on the vertical bearing behavior of the pile foundation. Meanwhile, the smaller the buried depth of the pile body, the greater the impact on the vertical bearing capacity of the pile. Thus, the reduction rate of the vertical bearing capacity under different scouring depths was obtained.
{"title":"Research on Vertical Bearing Capacity of Pile Foundation under Wave Scouring","authors":"Xinyue Wang","doi":"10.4236/OJMSI.2021.92008","DOIUrl":"https://doi.org/10.4236/OJMSI.2021.92008","url":null,"abstract":"In order to analyze the influence of wave scouring on the vertical bearing behavior of the pile foundation, the finite element software ABAQUS was used to simulate the force of the pile foundation under the action of wave scouring. A three-dimensional finite element calculation model of the pile foundation was established according to the actual working conditions, and the calculation results were compared with the field test results to verify the correctness of the built model. Then, the influence of wave scouring depth and pile embedding depth on the vertical bearing behavior of pile foundation was analyzed through calculation examples. The analysis results showed that the greater the depth of wave erosion, the greater the impact on the vertical bearing behavior of the pile foundation. Meanwhile, the smaller the buried depth of the pile body, the greater the impact on the vertical bearing capacity of the pile. Thus, the reduction rate of the vertical bearing capacity under different scouring depths was obtained.","PeriodicalId":56990,"journal":{"name":"建模与仿真(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45590139","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 : 2021-04-09DOI: 10.4236/OJMSI.2021.92006
P. Hall, G. Kiss, Tilmann E. Kuhn, S. Moutari, E. Patterson, Emily R. Smith
In this study, we investigate the dynamics of the COVID-19 epidemic in Northern Ireland from 1st March 2020 up to 25th December 2020, using several copies of a Susceptible-Exposed-Infectious-Recovered (SEIR) compartmental model, and compare it to a detailed publicly available dataset. We split the data into 10 time intervals and fit the models on the consecutive intervals to the cumulative number of confirmed positive cases on each interval. Using the fitted parameter estimates, we also provide estimates of the reproduction number. We also discuss the limitations and possible extensions of the employed model.
{"title":"Mathematical Modelling of the COVID-19 Epidemic in Northern Ireland in 2020","authors":"P. Hall, G. Kiss, Tilmann E. Kuhn, S. Moutari, E. Patterson, Emily R. Smith","doi":"10.4236/OJMSI.2021.92006","DOIUrl":"https://doi.org/10.4236/OJMSI.2021.92006","url":null,"abstract":"In this study, we investigate the dynamics of the COVID-19 epidemic in \u0000Northern Ireland from 1st March 2020 up to 25th \u0000December 2020, using several copies of a Susceptible-Exposed-Infectious-Recovered \u0000(SEIR) compartmental \u0000model, and compare it to a detailed publicly available dataset. We split the data into 10 time \u0000intervals and fit the models on the consecutive intervals to the cumulative \u0000number of confirmed positive cases on each interval. Using the fitted parameter \u0000estimates, we also provide estimates of the reproduction number. We also discuss the limitations and possible \u0000extensions of the employed model.","PeriodicalId":56990,"journal":{"name":"建模与仿真(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44061361","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 : 2021-04-09DOI: 10.4236/OJMSI.2021.92012
P. Bisgambiglia, P. Bisgambiglia
This work proposes a new simulation algorithm to improve message handling in discrete event formalism. We present an approach to minimize simulation execution time. To do this, we propose to reduce the number of exchanged messages between Parallel DEVS (PDEVS) components (simulators and coordinators). We propose three changes from PDEVS: direct coupling, flat structure and local schedule. The goal is the decentralisation of a number of tasks to make the simulators more autonomous and simplify the coordinators to achieve a greater speedup. We propose to compare the simulation results of several models to demonstrate the benefits of our approach.
{"title":"DecPDEVS: New Simulation Algorithms to Improve Message Handling in PDEVS","authors":"P. Bisgambiglia, P. Bisgambiglia","doi":"10.4236/OJMSI.2021.92012","DOIUrl":"https://doi.org/10.4236/OJMSI.2021.92012","url":null,"abstract":"This work proposes a new simulation algorithm to improve \u0000message handling in discrete event formalism. We present an approach to \u0000minimize simulation execution time. To do this, we propose to reduce the number \u0000of exchanged messages between Parallel DEVS (PDEVS) components (simulators and \u0000coordinators). We propose three changes from PDEVS: direct coupling, flat \u0000structure and local schedule. The goal is the decentralisation of a number of \u0000tasks to make the simulators more autonomous and simplify the coordinators to \u0000achieve a greater speedup. We propose to compare the simulation results of \u0000several models to demonstrate the benefits of our approach.","PeriodicalId":56990,"journal":{"name":"建模与仿真(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42703697","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 : 2021-04-09DOI: 10.4236/OJMSI.2021.92009
Jie Wang, Guangzu Zhu, Shiqi Wu, Chunshan Luo
For decades, safety has been a concern for the construction industry. Helmet detection caught the attention of machine learning, but the problem of identity recognition has been ignored in previous studies, which brings trouble to the subsequent safety education of workers. Although, many scholars have devoted themselves to the study of person re-identification which neglected safety detection. The study of this paper mainly proposes a method based on deep learning, which is different from the previous study of helmet detection and human identity recognition and can carry out helmet detection and identity recognition for construction workers. This paper proposes a computer vision-based worker identity recognition and helmet recognition method. We collected 3000 real-name channel images and constructed a neural network based on the You Only Look Once (YOLO) v3 model to extract the features of the construction worker’s face and helmet, respectively. Experiments show that the method has a high recognition accuracy rate, fast recognition speed, accurate recognition of workers and helmet detection, and solves the problem of poor supervision of real-name channels.
{"title":"Worker’s Helmet Recognition and Identity Recognition Based on Deep Learning","authors":"Jie Wang, Guangzu Zhu, Shiqi Wu, Chunshan Luo","doi":"10.4236/OJMSI.2021.92009","DOIUrl":"https://doi.org/10.4236/OJMSI.2021.92009","url":null,"abstract":"For decades, safety has been a concern for the construction \u0000industry. Helmet detection caught the attention of machine learning, but the \u0000problem of identity recognition has been ignored in previous studies, which \u0000brings trouble to the subsequent safety education of workers. Although, many \u0000scholars have devoted themselves to the study of person re-identification which \u0000neglected safety detection. The study of this paper mainly proposes a method \u0000based on deep learning, which is different from the previous study of helmet \u0000detection and human identity recognition and \u0000can carry out helmet detection and identity recognition for construction \u0000workers. This paper proposes a computer vision-based worker identity \u0000recognition and helmet recognition method. We collected 3000 real-name channel \u0000images and constructed a neural network based on the You Only Look Once (YOLO) v3 model to extract the \u0000features of the construction worker’s face and helmet, respectively. \u0000Experiments show that the method has a high recognition accuracy rate, fast \u0000recognition speed, accurate recognition of workers and helmet detection, and \u0000solves the problem of poor supervision of real-name channels.","PeriodicalId":56990,"journal":{"name":"建模与仿真(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47708908","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}
The term hydraulics concerned with the conveyance of water that can consist of very simple processes to complex physical processes, such as flow in open rivers, flow in pipes, flow of nutrients/sediments, flow of ground water to sea waves. The study of hydraulics is primarily a mixture of theory and experiments. Computational hydraulics is very helpful in-order to quantify and predict flow nature and behavior. Mathematical model is backbone of the computational hydraulics that consist simple to complex mathematical equations with linear and/or non-linear terms and ordinary or partial differential equations. Analytical solution of this mathematical equations is not feasible in the majority of cases. In this consequences, mathematical models are solved using different numerical techniques and associated schemes. In this manuscript we will review hydraulic principles along with their mathematical equations. Then we will learn some commonly used numerical technique to solve different types of differential equations related to the hydraulics. Among them the Finite Difference Method (FDM), Finite Element Method (FEM) and Finite Volume Method (FVM) will be discussed along with their use in real-life applications in the context of water resources engineering.
{"title":"A Short Review on Computational Hydraulics in the context of Water Resources Engineering","authors":"S. Sarker","doi":"10.31224/osf.io/t4bne","DOIUrl":"https://doi.org/10.31224/osf.io/t4bne","url":null,"abstract":"The term hydraulics concerned with the conveyance of water that can consist of very simple processes to complex physical processes, such as flow in open rivers, flow in pipes, flow of nutrients/sediments, flow of ground water to sea waves. The study of hydraulics is primarily a mixture of theory and experiments. Computational hydraulics is very helpful in-order to quantify and predict flow nature and behavior. Mathematical model is backbone of the computational hydraulics that consist simple to complex mathematical equations with linear and/or non-linear terms and ordinary or partial differential equations. Analytical solution of this mathematical equations is not feasible in the majority of cases. In this consequences, mathematical models are solved using different numerical techniques and associated schemes. In this manuscript we will review hydraulic principles along with their mathematical equations. Then we will learn some commonly used numerical technique to solve different types of differential equations related to the hydraulics. Among them the Finite Difference Method (FDM), Finite Element Method (FEM) and Finite Volume Method (FVM) will be discussed along with their use in real-life applications in the context of water resources engineering.","PeriodicalId":56990,"journal":{"name":"建模与仿真(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44861945","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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