Pub Date : 2023-01-01DOI: 10.1504/ijwet.2023.10059302
Qidong Kang
{"title":"Application of chorus teaching model for pedagogical quality assessment on software engineering skills teaching","authors":"Qidong Kang","doi":"10.1504/ijwet.2023.10059302","DOIUrl":"https://doi.org/10.1504/ijwet.2023.10059302","url":null,"abstract":"","PeriodicalId":39662,"journal":{"name":"International Journal of Web Engineering and Technology","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135649728","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 : 2023-01-01DOI: 10.1504/ijwet.2023.133611
Yi Liu
With the comprehensive promotion of the business tax to value-added tax policy, the tax burden of enterprises is gradually reduced. Although office informatisation is progressing quickly, managing enterprise tax risk is still crucial. Multilayer perceptron can be combined with support vector machine to form multilayer perceptron vector machine. Therefore, the study uses the genetic algorithm to improve the multilayer perceptive vector machine, and on this basis, establishes the enterprise tax risk prediction model to improve the accuracy of tax risk prediction. According to experiment results, the CNN prediction model's accuracy in predicting economic risk, competitive risk, policy risk, and business risk is only 84.37%, while the accuracy of the improved algorithm was over 90% in all cases, with the accuracy of policy risk being as high as 95.87%. The results indicate that the improved algorithm can accurately predict the tax risks of enterprises, providing an effective method to guarantee the security of enterprise tax management.
{"title":"Predicting the enterprise tax risk using improved multilayer perceptive vector machine","authors":"Yi Liu","doi":"10.1504/ijwet.2023.133611","DOIUrl":"https://doi.org/10.1504/ijwet.2023.133611","url":null,"abstract":"With the comprehensive promotion of the business tax to value-added tax policy, the tax burden of enterprises is gradually reduced. Although office informatisation is progressing quickly, managing enterprise tax risk is still crucial. Multilayer perceptron can be combined with support vector machine to form multilayer perceptron vector machine. Therefore, the study uses the genetic algorithm to improve the multilayer perceptive vector machine, and on this basis, establishes the enterprise tax risk prediction model to improve the accuracy of tax risk prediction. According to experiment results, the CNN prediction model's accuracy in predicting economic risk, competitive risk, policy risk, and business risk is only 84.37%, while the accuracy of the improved algorithm was over 90% in all cases, with the accuracy of policy risk being as high as 95.87%. The results indicate that the improved algorithm can accurately predict the tax risks of enterprises, providing an effective method to guarantee the security of enterprise tax management.","PeriodicalId":39662,"journal":{"name":"International Journal of Web Engineering and Technology","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135748945","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 : 2023-01-01DOI: 10.1504/ijwet.2023.133617
Yi Wang, Lei Li
{"title":"Research on the application of association rules based on information entropy in human resource management","authors":"Yi Wang, Lei Li","doi":"10.1504/ijwet.2023.133617","DOIUrl":"https://doi.org/10.1504/ijwet.2023.133617","url":null,"abstract":"","PeriodicalId":39662,"journal":{"name":"International Journal of Web Engineering and Technology","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135748589","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 : 2023-01-01DOI: 10.1504/ijwet.2023.10059298
Gongping Chen, Hong Wang
{"title":"Research on the privacy protection model of government cyber security in smart cities based on big data","authors":"Gongping Chen, Hong Wang","doi":"10.1504/ijwet.2023.10059298","DOIUrl":"https://doi.org/10.1504/ijwet.2023.10059298","url":null,"abstract":"","PeriodicalId":39662,"journal":{"name":"International Journal of Web Engineering and Technology","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135650388","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 : 2023-01-01DOI: 10.1504/ijwet.2023.10058314
Sharifah Mashita Syed Mohamad, C. Yong, Shamsuddeen Rabiu
{"title":"Load Balancing and Auto-Scaling Issues in Container Microservice Cloud-Based (CMCB) System: A Review on the Current trend technologies","authors":"Sharifah Mashita Syed Mohamad, C. Yong, Shamsuddeen Rabiu","doi":"10.1504/ijwet.2023.10058314","DOIUrl":"https://doi.org/10.1504/ijwet.2023.10058314","url":null,"abstract":"","PeriodicalId":39662,"journal":{"name":"International Journal of Web Engineering and Technology","volume":"47 16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66704367","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 : 2023-01-01DOI: 10.1504/ijwet.2023.10056510
Remy Magnier Watanabe
{"title":"Communication media as mediators of telework frequency and knowledge sharing in Japan under COVID-19","authors":"Remy Magnier Watanabe","doi":"10.1504/ijwet.2023.10056510","DOIUrl":"https://doi.org/10.1504/ijwet.2023.10056510","url":null,"abstract":"","PeriodicalId":39662,"journal":{"name":"International Journal of Web Engineering and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66704313","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 : 2023-01-01DOI: 10.1504/ijwet.2023.132873
Mohanad Halaweh, Lorna Uden, Ahmed Mostafa Kamel, Moataz Elbahi
{"title":"Technophobia and user interface usability","authors":"Mohanad Halaweh, Lorna Uden, Ahmed Mostafa Kamel, Moataz Elbahi","doi":"10.1504/ijwet.2023.132873","DOIUrl":"https://doi.org/10.1504/ijwet.2023.132873","url":null,"abstract":"","PeriodicalId":39662,"journal":{"name":"International Journal of Web Engineering and Technology","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136116812","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 : 2023-01-01DOI: 10.1504/ijwet.2023.10057560
Sandra Schlagheck, G. Schewe
{"title":"Personalised learning systems: drivers of employees' behavioural intention","authors":"Sandra Schlagheck, G. Schewe","doi":"10.1504/ijwet.2023.10057560","DOIUrl":"https://doi.org/10.1504/ijwet.2023.10057560","url":null,"abstract":"","PeriodicalId":39662,"journal":{"name":"International Journal of Web Engineering and Technology","volume":"18 1","pages":"238-272"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66704324","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 : 2023-01-01DOI: 10.1504/ijwet.2023.132875
Anastasia Analyti
{"title":"Complex quantified formulas in SPARQL 1.1: formalisation, translation, and partial verbalisation","authors":"Anastasia Analyti","doi":"10.1504/ijwet.2023.132875","DOIUrl":"https://doi.org/10.1504/ijwet.2023.132875","url":null,"abstract":"","PeriodicalId":39662,"journal":{"name":"International Journal of Web Engineering and Technology","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136116092","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 : 2019-06-11DOI: 10.20894/ijwt.104.008.001.005
P.V.N.Reddy Mr, B.Rajan Mr, Suriya M Ms
A distributed solar panel control system that allows the user to collect, store, and control and monitor a solar farm situated in remote locations anywhere on the planet. The panel orientation is constantly adjusted according to the sunlight using a servo/stepper motor mechanism aiming to generate maximum power. Each panel is connected to a CAN bus network and comes fitted with sensors that measures parameters such as power, current, voltage, and light intensity and panel orientation. The collected data is transmitted to an IoT gateway using the CAN field bus protocol. The IoT gateway is built with Wi-Fi capability that allows it to get connected to the internet via a Wi-Fi router. The gateway is in constant communication with a cloud platform, where the data gets stored and forwarded to the user. The user can now subscribe to this cloud platform and able to view the collected data, and control and monitor the solar farm in real-time from a remote location from his/her smart phone app.
{"title":"Low Power Sensor Data Monitoring and Controlling Application Due to IOT Based Distributed Solar Panel","authors":"P.V.N.Reddy Mr, B.Rajan Mr, Suriya M Ms","doi":"10.20894/ijwt.104.008.001.005","DOIUrl":"https://doi.org/10.20894/ijwt.104.008.001.005","url":null,"abstract":"A distributed solar panel control system that allows the user to collect, store, and control and monitor a solar farm situated in remote locations anywhere on the planet. The panel orientation is constantly adjusted according to the sunlight using a servo/stepper motor mechanism aiming to generate maximum power. Each panel is connected to a CAN bus network and comes fitted with sensors that measures parameters such as power, current, voltage, and light intensity and panel orientation. The collected data is transmitted to an IoT gateway using the CAN field bus protocol. The IoT gateway is built with Wi-Fi capability that allows it to get connected to the internet via a Wi-Fi router. The gateway is in constant communication with a cloud platform, where the data gets stored and forwarded to the user. The user can now subscribe to this cloud platform and able to view the collected data, and control and monitor the solar farm in real-time from a remote location from his/her smart phone app.","PeriodicalId":39662,"journal":{"name":"International Journal of Web Engineering and Technology","volume":"61 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80005431","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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