Pub Date : 2020-12-01DOI: 10.7763/ijmo.2020.v10.767
G. Gheorghe
The scientific work deals with Romania's level of readiness for the development of the Intelligent Industry (4.0), in relation to the national, European and international trends, with the identification of the strengths and weaknesses and the steps needed to be taken to reduce the gap compared to the developed countries. The scientific work will focus next on examples of contributions and elaborations of original concepts and constructions of intelligent systems, technological platforms and cobot networks that support the digital enterprise and the Intelligent Industry (4.0) in Romania.
{"title":"The Development of Intelligent Industry in Romania","authors":"G. Gheorghe","doi":"10.7763/ijmo.2020.v10.767","DOIUrl":"https://doi.org/10.7763/ijmo.2020.v10.767","url":null,"abstract":"The scientific work deals with Romania's level of readiness for the development of the Intelligent Industry (4.0), in relation to the national, European and international trends, with the identification of the strengths and weaknesses and the steps needed to be taken to reduce the gap compared to the developed countries. The scientific work will focus next on examples of contributions and elaborations of original concepts and constructions of intelligent systems, technological platforms and cobot networks that support the digital enterprise and the Intelligent Industry (4.0) in Romania.","PeriodicalId":134487,"journal":{"name":"International Journal of Modeling and Optimization","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123115051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-01DOI: 10.7763/ijmo.2020.v10.762
Kittipat Sriwong, Kittisak Kerdprasop, P. Chuaybamroong, Nittaya Kerdprasop
Abstract—Lung cancer surgery is risky such that sometime patients died after surgery. To reduce loss, we try to create a computational model to anticipate in advance the post-operative survival among the lung cancer patients using statistical and machine learning algorithms. The dataset used in our model building process is data of patients who underwent lung cancer surgery comprising of 470 records with 17 attributes. These data were collected at Wroclaw Thoracic Surgery Centre, Poland during the years 2007 to 2011. For the purpose of validating the built model, we partitioned this dataset into training set and test set with the ratio 70% : 30% and random it 10 times to obtain 10 pairs of training-test set. The training dataset is used as input to build prediction models for the post-operative survival in the lung cancer patients by applying logistic regression and support vector machine (SVM) algorithms. The obtained two models are then compared to choose the best one with the highest predictive performance based on the mean accuracy of the ten iterations. As a result of comparison using test dataset, prediction model built from the logistic regression reaches 82.38% on its average accuracy, while the SVM approach yields 75.67% of its average accuracy.
{"title":"A Computational Method to Assess Post-operative Risk of Lung Cancer Patients","authors":"Kittipat Sriwong, Kittisak Kerdprasop, P. Chuaybamroong, Nittaya Kerdprasop","doi":"10.7763/ijmo.2020.v10.762","DOIUrl":"https://doi.org/10.7763/ijmo.2020.v10.762","url":null,"abstract":"Abstract—Lung cancer surgery is risky such that sometime patients died after surgery. To reduce loss, we try to create a computational model to anticipate in advance the post-operative survival among the lung cancer patients using statistical and machine learning algorithms. The dataset used in our model building process is data of patients who underwent lung cancer surgery comprising of 470 records with 17 attributes. These data were collected at Wroclaw Thoracic Surgery Centre, Poland during the years 2007 to 2011. For the purpose of validating the built model, we partitioned this dataset into training set and test set with the ratio 70% : 30% and random it 10 times to obtain 10 pairs of training-test set. The training dataset is used as input to build prediction models for the post-operative survival in the lung cancer patients by applying logistic regression and support vector machine (SVM) algorithms. The obtained two models are then compared to choose the best one with the highest predictive performance based on the mean accuracy of the ten iterations. As a result of comparison using test dataset, prediction model built from the logistic regression reaches 82.38% on its average accuracy, while the SVM approach yields 75.67% of its average accuracy.","PeriodicalId":134487,"journal":{"name":"International Journal of Modeling and Optimization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129531780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-01DOI: 10.7763/ijmo.2020.v10.764
Chao-Fan Xie, Huang-Chu Huang, Yu-Ju Chen, R. Hwang
Abstract—Chromatographic separation by simulated moving bed (SMB) is an important skill for the modern material separation process. It is widely used in chemical and medical pharmaceutical industries. It has been recognized as a clean and green technology in the chromatographic application. In order to achieve a precision control for SMB, the influence and the effect of parameters to the final axial separation is an important study for realizing the behaviors of SMB. However, such kind of study is hardly to implement in the real SMB system due to the high experimental cost and the sensitivity of parameters. Thus, the computer simulation for studying the influence parameters to the final axial separation was implemented and presented in this paper. From the simulation results shown, the whole study is quite consistent with the actual behavior of SMB. It indeed has a great help for the future’s development of precision control of SMB.
{"title":"Simulation of the Influence of Parameters on Simulated Moving Bed","authors":"Chao-Fan Xie, Huang-Chu Huang, Yu-Ju Chen, R. Hwang","doi":"10.7763/ijmo.2020.v10.764","DOIUrl":"https://doi.org/10.7763/ijmo.2020.v10.764","url":null,"abstract":"Abstract—Chromatographic separation by simulated moving bed (SMB) is an important skill for the modern material separation process. It is widely used in chemical and medical pharmaceutical industries. It has been recognized as a clean and green technology in the chromatographic application. In order to achieve a precision control for SMB, the influence and the effect of parameters to the final axial separation is an important study for realizing the behaviors of SMB. However, such kind of study is hardly to implement in the real SMB system due to the high experimental cost and the sensitivity of parameters. Thus, the computer simulation for studying the influence parameters to the final axial separation was implemented and presented in this paper. From the simulation results shown, the whole study is quite consistent with the actual behavior of SMB. It indeed has a great help for the future’s development of precision control of SMB.","PeriodicalId":134487,"journal":{"name":"International Journal of Modeling and Optimization","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123759429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-01DOI: 10.7763/ijmo.2020.v10.765
K. Gwak, Young J. Rho
The 4th 1 industrial revolution is promoting manufacturing industry to be vitalized again. The manufacturing industry requires many industrial materials. Among them, different gases are also used in many fields. While they are useful, industrial gases can be also hazardous at the same time. In order to control those bad features of gases, their dynamic characteristics are required to be understood. In this paper we tried to understand the characteristics by applying several machine learning methods such as MLP, DLP and LSTM. Two ensemble methods are applied to compensate the lack of raw data. Simulation outputs are compared each other to know which method is proper for this case.
{"title":"Gas Diffusion Simulation Based on Ensemble Approach","authors":"K. Gwak, Young J. Rho","doi":"10.7763/ijmo.2020.v10.765","DOIUrl":"https://doi.org/10.7763/ijmo.2020.v10.765","url":null,"abstract":"The 4th 1 industrial revolution is promoting manufacturing industry to be vitalized again. The manufacturing industry requires many industrial materials. Among them, different gases are also used in many fields. While they are useful, industrial gases can be also hazardous at the same time. In order to control those bad features of gases, their dynamic characteristics are required to be understood. In this paper we tried to understand the characteristics by applying several machine learning methods such as MLP, DLP and LSTM. Two ensemble methods are applied to compensate the lack of raw data. Simulation outputs are compared each other to know which method is proper for this case.","PeriodicalId":134487,"journal":{"name":"International Journal of Modeling and Optimization","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117244313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-01DOI: 10.7763/ijmo.2020.v10.763
Q. Dang, T. Bourdeaud'huy, K. Mesghouni, A. Toguyéni
Abstract—This paper studies train routing and scheduling problem for busy railway stations. The train routing problem is to assign each train to a route through the railway station and to a platform in the station. The train scheduling problem is to determine timing and ordering plans for all trains on the assigned train routes. Our objective is to allow trains to be routed in dense areas that are reaching saturation. Unlike traditional methods that allocate all resources to setup a route for a train until the route is freed, our work focuses on the use of resources as trains progress through the railway node. This technique allows a larger number of trains to be routed simultaneously in a railway node and thus reduces their current saturation. In this paper, we consider that trains can be coupled or decoupled and trains can pass through the railway station without stopping at any platform. To deal with this problem, this study proposes an abstract model and a mixed-integer linear programming formulation to solve it. The method is illustrated on a didactic example.
{"title":"Low-Level Modeling for Routing and Scheduling Trains through Busy Railway Stations with Expandable Coupling/Decoupling Mechanism","authors":"Q. Dang, T. Bourdeaud'huy, K. Mesghouni, A. Toguyéni","doi":"10.7763/ijmo.2020.v10.763","DOIUrl":"https://doi.org/10.7763/ijmo.2020.v10.763","url":null,"abstract":"Abstract—This paper studies train routing and scheduling problem for busy railway stations. The train routing problem is to assign each train to a route through the railway station and to a platform in the station. The train scheduling problem is to determine timing and ordering plans for all trains on the assigned train routes. Our objective is to allow trains to be routed in dense areas that are reaching saturation. Unlike traditional methods that allocate all resources to setup a route for a train until the route is freed, our work focuses on the use of resources as trains progress through the railway node. This technique allows a larger number of trains to be routed simultaneously in a railway node and thus reduces their current saturation. In this paper, we consider that trains can be coupled or decoupled and trains can pass through the railway station without stopping at any platform. To deal with this problem, this study proposes an abstract model and a mixed-integer linear programming formulation to solve it. The method is illustrated on a didactic example.","PeriodicalId":134487,"journal":{"name":"International Journal of Modeling and Optimization","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117066832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.7763/ijmo.2020.v10.760
T. Chilachava, G. Pochkhua
Abstract—Nonlinear mathematical models of economic cooperation between two politically (non-military confrontation) mutually opposing sides (two countries or a country and its legal region) are proposed, which consider economic cooperation between parts of the population of the sides, aimed at rapprochement of the sides and peaceful settlement of conflicts. Mathematical models imply that the process of economic cooperation is free of political pressure, that is, the governments of opposing and external sides do not interfere in this process. With some dependencies between constant model coefficients, the first integrals and exact analytical solutions are found. A theorem has been proven to optimize (minimize) the financial resources at which economic cooperation can peacefully resolve political conflict (in the mathematical model we assume that the conflict is resolved if at the same time more than half of the population of both sides support the process of economic cooperation, which promotes political reconciliation). In general, with the variable coefficients of the mathematical model, a computer simulation in the MATLAB software environment was performed to numerically solve the Cauchy problem for a nonlinear dynamic system. Numerical solutions have been obtained, and appropriate graphs have been built. The minimum values of model coefficients (control parameters; optimization of financial resources) under which conflict resolution is possible have been found.
{"title":"Mathematical and Computer Models of Settlements of Political Conflicts and Problems of Optimization of Resources","authors":"T. Chilachava, G. Pochkhua","doi":"10.7763/ijmo.2020.v10.760","DOIUrl":"https://doi.org/10.7763/ijmo.2020.v10.760","url":null,"abstract":"Abstract—Nonlinear mathematical models of economic cooperation between two politically (non-military confrontation) mutually opposing sides (two countries or a country and its legal region) are proposed, which consider economic cooperation between parts of the population of the sides, aimed at rapprochement of the sides and peaceful settlement of conflicts. Mathematical models imply that the process of economic cooperation is free of political pressure, that is, the governments of opposing and external sides do not interfere in this process. With some dependencies between constant model coefficients, the first integrals and exact analytical solutions are found. A theorem has been proven to optimize (minimize) the financial resources at which economic cooperation can peacefully resolve political conflict (in the mathematical model we assume that the conflict is resolved if at the same time more than half of the population of both sides support the process of economic cooperation, which promotes political reconciliation). In general, with the variable coefficients of the mathematical model, a computer simulation in the MATLAB software environment was performed to numerically solve the Cauchy problem for a nonlinear dynamic system. Numerical solutions have been obtained, and appropriate graphs have been built. The minimum values of model coefficients (control parameters; optimization of financial resources) under which conflict resolution is possible have been found.","PeriodicalId":134487,"journal":{"name":"International Journal of Modeling and Optimization","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126692256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.7763/ijmo.2020.v10.759
C. Alexandru
This article deals with the development of an analytical method for the kinematic analysis of the axle guiding mechanisms that are commonly used to guide the rear axles of commercial and off-road vehicles. The method can be applied / adapted for most types of axle guiding mechanisms (at least those commonly used). Unlike the most existing kinematic analysis methods, which involve the development and solving of nonlinear equation systems, with the subsequent disadvantages, the method proposed here is based on linear systems, which are easy to solve. The computation program was developed by using the programming environment Borland Delphi.
{"title":"Method for the Kinematic Analysis of the Vehicle Axle Guiding Mechanisms","authors":"C. Alexandru","doi":"10.7763/ijmo.2020.v10.759","DOIUrl":"https://doi.org/10.7763/ijmo.2020.v10.759","url":null,"abstract":"This article deals with the development of an analytical method for the kinematic analysis of the axle guiding mechanisms that are commonly used to guide the rear axles of commercial and off-road vehicles. The method can be applied / adapted for most types of axle guiding mechanisms (at least those commonly used). Unlike the most existing kinematic analysis methods, which involve the development and solving of nonlinear equation systems, with the subsequent disadvantages, the method proposed here is based on linear systems, which are easy to solve. The computation program was developed by using the programming environment Borland Delphi.","PeriodicalId":134487,"journal":{"name":"International Journal of Modeling and Optimization","volume":"547 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116712939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.7763/ijmo.2020.v10.757
G. Frumuşanu, C. Afteni, V. Păunoiu
{"title":"Estimation of Roller Bearings Manufacturing Cost by Causal Identification and Comparative Assessment – Case Study Performed on Industrial Data","authors":"G. Frumuşanu, C. Afteni, V. Păunoiu","doi":"10.7763/ijmo.2020.v10.757","DOIUrl":"https://doi.org/10.7763/ijmo.2020.v10.757","url":null,"abstract":"","PeriodicalId":134487,"journal":{"name":"International Journal of Modeling and Optimization","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115869798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.7763/ijmo.2020.v10.756
N. Mihai, P. Badescu
In this paper is presented the research work done to create and optimize a new mechanical structure of industrial robot by finite element method, commanded and controlled in the spirit of Industry 4.0 by a performance controller. This mechanical structure is provided as an end-effectors, with a high speed electric motor (electrical spindle motor), provided with an end-mill tool. This assembly is intended for use in industrial applications for cleaning and machining PVC welded profiles for window frames. The material used in the manufacture is aluminum alloy.
{"title":"Improving the Dynamic Behaviour of a New 6 DOF Industrial Robot","authors":"N. Mihai, P. Badescu","doi":"10.7763/ijmo.2020.v10.756","DOIUrl":"https://doi.org/10.7763/ijmo.2020.v10.756","url":null,"abstract":"In this paper is presented the research work done to create and optimize a new mechanical structure of industrial robot by finite element method, commanded and controlled in the spirit of Industry 4.0 by a performance controller. This mechanical structure is provided as an end-effectors, with a high speed electric motor (electrical spindle motor), provided with an end-mill tool. This assembly is intended for use in industrial applications for cleaning and machining PVC welded profiles for window frames. The material used in the manufacture is aluminum alloy.","PeriodicalId":134487,"journal":{"name":"International Journal of Modeling and Optimization","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121422577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.7763/ijmo.2020.v10.758
L. Malgaca, Ş. İ. Lök, M. Uyar
System identification (SI) is a modeling method using experimental input-output signals without any physical properties of the system. In this study, a flexible planar manipulator is modeled with the SI method. The output is an acceleration signal of the tip point of the manipulator and the inputs are triangle and trapezoidal motion profiles. Motion parameters are set in order to reduce residual vibrations of the flexible manipulator. The mathematical model of the system is estimated with the continuous-time SI method. Simulation results are obtained by using the mathematical model. The identification and validation data are successfully matched with the experimental results.
{"title":"Modeling and Vibration Reduction of a Flexible Planar Manipulator with Experimental System Identification","authors":"L. Malgaca, Ş. İ. Lök, M. Uyar","doi":"10.7763/ijmo.2020.v10.758","DOIUrl":"https://doi.org/10.7763/ijmo.2020.v10.758","url":null,"abstract":"System identification (SI) is a modeling method using experimental input-output signals without any physical properties of the system. In this study, a flexible planar manipulator is modeled with the SI method. The output is an acceleration signal of the tip point of the manipulator and the inputs are triangle and trapezoidal motion profiles. Motion parameters are set in order to reduce residual vibrations of the flexible manipulator. The mathematical model of the system is estimated with the continuous-time SI method. Simulation results are obtained by using the mathematical model. The identification and validation data are successfully matched with the experimental results.","PeriodicalId":134487,"journal":{"name":"International Journal of Modeling and Optimization","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121614559","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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