Pub Date : 2022-06-24DOI: 10.1142/s1793962323500253
Monika Bisht, R. Dangwal
{"title":"Fuzzy approach to solve Interval Valued Transportation Problem and comparison of the effectiveness of different fuzzy numbers","authors":"Monika Bisht, R. Dangwal","doi":"10.1142/s1793962323500253","DOIUrl":"https://doi.org/10.1142/s1793962323500253","url":null,"abstract":"","PeriodicalId":45889,"journal":{"name":"International Journal of Modeling Simulation and Scientific Computing","volume":"51 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78208279","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 : 2022-06-24DOI: 10.1142/s1793962323410258
Yuan Zhao, Yongkui Liu, Jian Feng, Jinwei Guo, Lin Zhang
{"title":"A framework for development of digital twin industrial robot production lines based on a mechatronics approach","authors":"Yuan Zhao, Yongkui Liu, Jian Feng, Jinwei Guo, Lin Zhang","doi":"10.1142/s1793962323410258","DOIUrl":"https://doi.org/10.1142/s1793962323410258","url":null,"abstract":"","PeriodicalId":45889,"journal":{"name":"International Journal of Modeling Simulation and Scientific Computing","volume":"106 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80737327","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 : 2022-06-18DOI: 10.1142/s179396232350023x
S. Shukla, M. Kumar
{"title":"Error analysis and numerical solution of generalized Benjamin-Bona-Mahony-Burgers equation using 3-scale Haar wavelets","authors":"S. Shukla, M. Kumar","doi":"10.1142/s179396232350023x","DOIUrl":"https://doi.org/10.1142/s179396232350023x","url":null,"abstract":"","PeriodicalId":45889,"journal":{"name":"International Journal of Modeling Simulation and Scientific Computing","volume":"240 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76920089","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 : 2022-06-17DOI: 10.1142/s1793962323500228
Zedong Wu, Xiaochen Wang, Quan Yang, Dong Xu, Yun Zhou, Jianwei Zhao, Dan Chen, Jingdong Li
{"title":"Research on the Effect of Thickness Difference of Weld Seam on Strip Breaking During Rolling in PL-TCM","authors":"Zedong Wu, Xiaochen Wang, Quan Yang, Dong Xu, Yun Zhou, Jianwei Zhao, Dan Chen, Jingdong Li","doi":"10.1142/s1793962323500228","DOIUrl":"https://doi.org/10.1142/s1793962323500228","url":null,"abstract":"","PeriodicalId":45889,"journal":{"name":"International Journal of Modeling Simulation and Scientific Computing","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90059363","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 : 2022-05-27DOI: 10.1142/s1793962323500198
B. Prashanth, Mohammed Riyaz Ahmed
{"title":"Bio-Inspired Computing with Magnetic Skyrmions Using Deep Learning","authors":"B. Prashanth, Mohammed Riyaz Ahmed","doi":"10.1142/s1793962323500198","DOIUrl":"https://doi.org/10.1142/s1793962323500198","url":null,"abstract":"","PeriodicalId":45889,"journal":{"name":"International Journal of Modeling Simulation and Scientific Computing","volume":"27 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84868298","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 : 2022-05-27DOI: 10.1142/s1793962323500204
Rakesh Medda, Pankaj Tiwari, Samares Pal
{"title":"Chaos in a nonautonomous model for the impact of media on disease outbreak","authors":"Rakesh Medda, Pankaj Tiwari, Samares Pal","doi":"10.1142/s1793962323500204","DOIUrl":"https://doi.org/10.1142/s1793962323500204","url":null,"abstract":"","PeriodicalId":45889,"journal":{"name":"International Journal of Modeling Simulation and Scientific Computing","volume":"80 2","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72420607","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 : 2022-05-24DOI: 10.1142/s1793962323410143
G. Balachandran, J. Venu Gopala Krishnan
Video and object segmentation are considered significant research topics in image-video processing. The techniques and mathematical models involved in detecting and segmenting objects employ several modules of different high-level approaches developed for video analysis, object extraction, classification, and recognition. Moving object detection is important in various applications like video surveillance, moving object tracking. This paper proposes video segmentation of moving scene using fast convolutional neural network with VGG-16 net architecture which improves the accuracy. This developed method based on CNN sparsely represents foreground, background, and segmentation mask, which is used in reconstructing the original images. The feed-forward network-trained videos are applied for object detection in a single image with co-segmentation approach where videos or image collections are required as the input. The segmentation is performed through comparative analysis of real-time DAVIS dataset. The results of the experiment show the efficiency of this proposed method which is tested and compared with the existing techniques such as convolution neural network, [Formula: see text]-nearest neighbors, and artificial neural network by the parameters, namely accuracy, precision, recall, and F1-Score. The proposed technique has been improved in terms of accuracy by 97.8%, precision by 94%, recall by 87.9%, and F1-Score by 83.8%.
{"title":"Moving scene-based video segmentation using fast convolutional neural network integration of VGG-16 net deep learning architecture","authors":"G. Balachandran, J. Venu Gopala Krishnan","doi":"10.1142/s1793962323410143","DOIUrl":"https://doi.org/10.1142/s1793962323410143","url":null,"abstract":"Video and object segmentation are considered significant research topics in image-video processing. The techniques and mathematical models involved in detecting and segmenting objects employ several modules of different high-level approaches developed for video analysis, object extraction, classification, and recognition. Moving object detection is important in various applications like video surveillance, moving object tracking. This paper proposes video segmentation of moving scene using fast convolutional neural network with VGG-16 net architecture which improves the accuracy. This developed method based on CNN sparsely represents foreground, background, and segmentation mask, which is used in reconstructing the original images. The feed-forward network-trained videos are applied for object detection in a single image with co-segmentation approach where videos or image collections are required as the input. The segmentation is performed through comparative analysis of real-time DAVIS dataset. The results of the experiment show the efficiency of this proposed method which is tested and compared with the existing techniques such as convolution neural network, [Formula: see text]-nearest neighbors, and artificial neural network by the parameters, namely accuracy, precision, recall, and F1-Score. The proposed technique has been improved in terms of accuracy by 97.8%, precision by 94%, recall by 87.9%, and F1-Score by 83.8%.","PeriodicalId":45889,"journal":{"name":"International Journal of Modeling Simulation and Scientific Computing","volume":"13 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85247549","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 : 2022-05-13DOI: 10.1142/s1793962323500149
L. Zhou, L. Hu
{"title":"Measurement and Simulation of Non-Premixed Flames -- A Selected Review","authors":"L. Zhou, L. Hu","doi":"10.1142/s1793962323500149","DOIUrl":"https://doi.org/10.1142/s1793962323500149","url":null,"abstract":"","PeriodicalId":45889,"journal":{"name":"International Journal of Modeling Simulation and Scientific Computing","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90335662","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 : 2022-05-13DOI: 10.1142/s1793962323500137
Yoro Diouf, Oumar Y. Maiga, M. Traoré
{"title":"A Theoretical Approach to the Computational Complexity Measure of Abstract DEVS Simulators","authors":"Yoro Diouf, Oumar Y. Maiga, M. Traoré","doi":"10.1142/s1793962323500137","DOIUrl":"https://doi.org/10.1142/s1793962323500137","url":null,"abstract":"","PeriodicalId":45889,"journal":{"name":"International Journal of Modeling Simulation and Scientific Computing","volume":"70 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84035513","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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