Pub Date : 2021-01-01DOI: 10.37591/jocta.v12i3.864
Aarushi Gupta, P. Sharma,, K. C. Tripathi, M. Sharma
{"title":"Unravelling Modern News Classification Methods: A Systematic Review","authors":"Aarushi Gupta, P. Sharma,, K. C. Tripathi, M. Sharma","doi":"10.37591/jocta.v12i3.864","DOIUrl":"https://doi.org/10.37591/jocta.v12i3.864","url":null,"abstract":"","PeriodicalId":46624,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY","volume":"93 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82397259","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 : 2021-01-01DOI: 10.1504/ijcat.2021.10043901
Raghav Kachhawaha, Pragya Gupta, A. Shankar, Vasudha Arora, Thompson Stephan, Manoj Kumar, Sugandha Sharma, N. Jaisankar, Shweta Mongia
{"title":"Prediction of COVID-19 epidemic curve in India using the supervised learning approach","authors":"Raghav Kachhawaha, Pragya Gupta, A. Shankar, Vasudha Arora, Thompson Stephan, Manoj Kumar, Sugandha Sharma, N. Jaisankar, Shweta Mongia","doi":"10.1504/ijcat.2021.10043901","DOIUrl":"https://doi.org/10.1504/ijcat.2021.10043901","url":null,"abstract":"","PeriodicalId":46624,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY","volume":"3 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84819877","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 : 2020-12-11DOI: 10.1504/ijcat.2020.10034158
L. Jianmin
This article proposes feature vector sharing and scale comprehensive optimisation strategy of image target detection and recognition method of complex street maximum suppression based on the calculation of the corresponding feature area corresponding to the feature map and completely complete eigenvector. Based on this, this article also combines a fine-tuning method based on transfer learning generalisation, which is suitable for non-convex optimisation and high-dimensional space. First, the method described above implements the optimal rectangular selection box competition based on the scale comprehensive optimisation strategy, and selects the selection box that can reflect the core essence of the target in each classification set. Then, this article realises the model of detecting image target in complex neighbourhood, which improves the accuracy and robustness. Furthermore, we experimentally demonstrate that the accuracy and robustness of our proposed method are superior to those of conventional methods.
{"title":"Feature vector sharing and scale comprehensive optimisation for targets detection in smart neighbourhood governance and monitoring","authors":"L. Jianmin","doi":"10.1504/ijcat.2020.10034158","DOIUrl":"https://doi.org/10.1504/ijcat.2020.10034158","url":null,"abstract":"This article proposes feature vector sharing and scale comprehensive optimisation strategy of image target detection and recognition method of complex street maximum suppression based on the calculation of the corresponding feature area corresponding to the feature map and completely complete eigenvector. Based on this, this article also combines a fine-tuning method based on transfer learning generalisation, which is suitable for non-convex optimisation and high-dimensional space. First, the method described above implements the optimal rectangular selection box competition based on the scale comprehensive optimisation strategy, and selects the selection box that can reflect the core essence of the target in each classification set. Then, this article realises the model of detecting image target in complex neighbourhood, which improves the accuracy and robustness. Furthermore, we experimentally demonstrate that the accuracy and robustness of our proposed method are superior to those of conventional methods.","PeriodicalId":46624,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY","volume":"11 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81973284","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 : 2020-05-26DOI: 10.1504/ijcat.2020.10029613
W. Tingting, Liang Heng, Peng Zhihao
The deep-buried steel cylinder structure has the characteristics of both gravity structure and pile foundation structures. Based on the offshore artificial island of Hong Kong-Zhuhai-Macao Bridge (HZMB), the stability and deformation response of the deep-buried steel cylinder cofferdam was studied throughout the construction process. Stability calculation of the steel cylinder on deep soft foundation was carried out based on the theoretical formula recommended in the technical standards, and the measured values in situ were summarised. The results show that the steel cylinder displacement in 3D simulation model is consistent with the measured data, which is larger than that using theoretical formula. The stability safety derived from the theoretical formula is consistent with the 3D simulation results and measured data. The instability judgment of the buried steel cylinder and the selection criteria of the bottom bearing layer are also given in the paper.
{"title":"Numerical simulation on offshore artificial island cofferdam of Hong Kong-Zhuhai-Macao Bridge","authors":"W. Tingting, Liang Heng, Peng Zhihao","doi":"10.1504/ijcat.2020.10029613","DOIUrl":"https://doi.org/10.1504/ijcat.2020.10029613","url":null,"abstract":"The deep-buried steel cylinder structure has the characteristics of both gravity structure and pile foundation structures. Based on the offshore artificial island of Hong Kong-Zhuhai-Macao Bridge (HZMB), the stability and deformation response of the deep-buried steel cylinder cofferdam was studied throughout the construction process. Stability calculation of the steel cylinder on deep soft foundation was carried out based on the theoretical formula recommended in the technical standards, and the measured values in situ were summarised. The results show that the steel cylinder displacement in 3D simulation model is consistent with the measured data, which is larger than that using theoretical formula. The stability safety derived from the theoretical formula is consistent with the 3D simulation results and measured data. The instability judgment of the buried steel cylinder and the selection criteria of the bottom bearing layer are also given in the paper.","PeriodicalId":46624,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY","volume":"2 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90151266","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 : 2020-01-01DOI: 10.1504/ijcat.2020.106571
ChenJinxiang, Zhaofeng, SunYanguang, YinYilan
An optimised XGBoost model based on genetic algorithm to search for optimal parameter combinations is proposed in this paper. It was proved that the improved algorithm has better classification eff...
{"title":"Improved XGBoost model based on genetic algorithm","authors":"ChenJinxiang, Zhaofeng, SunYanguang, YinYilan","doi":"10.1504/ijcat.2020.106571","DOIUrl":"https://doi.org/10.1504/ijcat.2020.106571","url":null,"abstract":"An optimised XGBoost model based on genetic algorithm to search for optimal parameter combinations is proposed in this paper. It was proved that the improved algorithm has better classification eff...","PeriodicalId":46624,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY","volume":"10 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74971455","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 : 2019-09-02DOI: 10.1504/ijcat.2019.10023601
Feng Yanhong, Wang Zhongfu
In order to enhance the effectiveness of the cooperation mechanism of cluster industry innovation of booming megalopolises, this paper puts forward a research method based on weight time-varying multi-criteria and similarity evaluation method for the cooperation mechanism of cluster industry innovation of booming megalopolises. Firstly, under the background of 'internet+', it researches the indicator system establishment of the cluster industry innovation platform of booming megalopolises, establishes the comprehensive evaluation system with five first-level indicators in scientific research innovation capability, intelligent production and service support capability, information transmission capability, infrastructure and environment support capability and platform system establishment capability. Secondly, it puts forward the weight time-varying multi-criteria and similarity evaluation method to enhance the industry innovation cooperation mechanism recommendation precision, combined with the weight time-varying process, deeply considers the criteria weight of different times periods to enhance the decision scientificity of the industry innovation cooperation mechanism; finally, it verifies the effectiveness of algorithm through empirical analysis.
{"title":"Innovation mechanism of cluster industry based on weighted time-varying multi-criteria and similarity evaluation method","authors":"Feng Yanhong, Wang Zhongfu","doi":"10.1504/ijcat.2019.10023601","DOIUrl":"https://doi.org/10.1504/ijcat.2019.10023601","url":null,"abstract":"In order to enhance the effectiveness of the cooperation mechanism of cluster industry innovation of booming megalopolises, this paper puts forward a research method based on weight time-varying multi-criteria and similarity evaluation method for the cooperation mechanism of cluster industry innovation of booming megalopolises. Firstly, under the background of 'internet+', it researches the indicator system establishment of the cluster industry innovation platform of booming megalopolises, establishes the comprehensive evaluation system with five first-level indicators in scientific research innovation capability, intelligent production and service support capability, information transmission capability, infrastructure and environment support capability and platform system establishment capability. Secondly, it puts forward the weight time-varying multi-criteria and similarity evaluation method to enhance the industry innovation cooperation mechanism recommendation precision, combined with the weight time-varying process, deeply considers the criteria weight of different times periods to enhance the decision scientificity of the industry innovation cooperation mechanism; finally, it verifies the effectiveness of algorithm through empirical analysis.","PeriodicalId":46624,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY","volume":"224 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90374531","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 : 2019-09-02DOI: 10.1504/ijcat.2019.10023584
Huang Liumei, Lian Huijie
In order to enhance the analysis effectiveness of the compulsory education policy implementation situation of regional economic development, this paper puts forward an analysis method based on inconsistent-measurement Bayes of the compulsory education policy implementation situation. Firstly, it researches the evaluation index model of compulsory education resource allocation, and establishes the evaluation model based on the relevant indexes such as education infrastructure, teacher resources and appropriation for education; secondly, it puts forward a Bayes filtering algorithm based on forward-backward compression to effectively handle the noising and uncertainty problems in the compulsory education policy implementation, realise the effective estimation on the equilibrium model of compulsory education policy implementation, and deeply analyse the influence of compulsory education policy in domestic compulsory education policy implementation trend. The research result verifies the effectiveness of the method.
{"title":"Analysis of system implementation effect based on Bayes analysis of imbalanced measures","authors":"Huang Liumei, Lian Huijie","doi":"10.1504/ijcat.2019.10023584","DOIUrl":"https://doi.org/10.1504/ijcat.2019.10023584","url":null,"abstract":"In order to enhance the analysis effectiveness of the compulsory education policy implementation situation of regional economic development, this paper puts forward an analysis method based on inconsistent-measurement Bayes of the compulsory education policy implementation situation. Firstly, it researches the evaluation index model of compulsory education resource allocation, and establishes the evaluation model based on the relevant indexes such as education infrastructure, teacher resources and appropriation for education; secondly, it puts forward a Bayes filtering algorithm based on forward-backward compression to effectively handle the noising and uncertainty problems in the compulsory education policy implementation, realise the effective estimation on the equilibrium model of compulsory education policy implementation, and deeply analyse the influence of compulsory education policy in domestic compulsory education policy implementation trend. The research result verifies the effectiveness of the method.","PeriodicalId":46624,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY","volume":"6 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89813578","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 : 2019-09-02DOI: 10.1504/ijcat.2019.10023582
Feng Yanhong, Wang Zhongfu
According to the characteristics of the circular economy conception of the under-development regions under new economy situation, the improved data envelopment analysis model based on geometric mean model is reconstructed in the paper through increasing unexpected input (waste recycling quantity) in the input and increasing unexpected output (waste discharge quantity) in the output; then, the improved data envelopment analysis model is adopted to evaluate the efficiency of the circular economy of the under-development regions in 31 provinces and cities in China during 2002-2012. The research result shows that the efficiency of the circular economy of the under-development regions in China is generally improved, and the scale efficiency gradually tends to reach the optimum efficiency, but the obvious insufficiency of pure technical efficiency has influenced the development level of the circular economy of the under-development regions in China.
{"title":"Improved data envelopment analysis model based on geometric mean model","authors":"Feng Yanhong, Wang Zhongfu","doi":"10.1504/ijcat.2019.10023582","DOIUrl":"https://doi.org/10.1504/ijcat.2019.10023582","url":null,"abstract":"According to the characteristics of the circular economy conception of the under-development regions under new economy situation, the improved data envelopment analysis model based on geometric mean model is reconstructed in the paper through increasing unexpected input (waste recycling quantity) in the input and increasing unexpected output (waste discharge quantity) in the output; then, the improved data envelopment analysis model is adopted to evaluate the efficiency of the circular economy of the under-development regions in 31 provinces and cities in China during 2002-2012. The research result shows that the efficiency of the circular economy of the under-development regions in China is generally improved, and the scale efficiency gradually tends to reach the optimum efficiency, but the obvious insufficiency of pure technical efficiency has influenced the development level of the circular economy of the under-development regions in China.","PeriodicalId":46624,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY","volume":"72 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73090591","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 : 2019-09-02DOI: 10.1504/ijcat.2019.10023587
Feng Yanhong, Wang Zhongfu
Policy decision is an external driving factor for cyclic economy. Under the perspective of global value chain, the subjects of the interested parties are the cyclic economy enterprises and the government is responsible for supervision. In the development process of enterprises, the cyclic economy industry cluster development mode is the important link for development, which has an important position in the environmentally-friendly and resource conservation development goal of Chinese economy, and is among the urgent problems which need to be solved. This paper, based on the game analysis method, establishes the model for the relationship between enterprise and government under the cyclic economy industry cluster development mode, and conducts game analysis on the cyclic economy innovation process under the driving of the government thus to research the relationship between the cyclic economy enterprise and the government responsible for supervision under the cyclic economy development mode from the perspective of theory. Finally, it, based on the model establishment and analysis result, puts forward reasonable suggestions on strengthening the cyclic economy industry cluster development.
{"title":"Development mode of circular economy industrial cluster based on game theory","authors":"Feng Yanhong, Wang Zhongfu","doi":"10.1504/ijcat.2019.10023587","DOIUrl":"https://doi.org/10.1504/ijcat.2019.10023587","url":null,"abstract":"Policy decision is an external driving factor for cyclic economy. Under the perspective of global value chain, the subjects of the interested parties are the cyclic economy enterprises and the government is responsible for supervision. In the development process of enterprises, the cyclic economy industry cluster development mode is the important link for development, which has an important position in the environmentally-friendly and resource conservation development goal of Chinese economy, and is among the urgent problems which need to be solved. This paper, based on the game analysis method, establishes the model for the relationship between enterprise and government under the cyclic economy industry cluster development mode, and conducts game analysis on the cyclic economy innovation process under the driving of the government thus to research the relationship between the cyclic economy enterprise and the government responsible for supervision under the cyclic economy development mode from the perspective of theory. Finally, it, based on the model establishment and analysis result, puts forward reasonable suggestions on strengthening the cyclic economy industry cluster development.","PeriodicalId":46624,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY","volume":"28 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84974335","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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