Pub Date : 2023-01-01DOI: 10.1504/ijguc.2023.132618
Priyanka Bharti, Rajeev Ranjan
{"title":"Dynamic Bayesian network based prediction of performance parameters in cloud computing","authors":"Priyanka Bharti, Rajeev Ranjan","doi":"10.1504/ijguc.2023.132618","DOIUrl":"https://doi.org/10.1504/ijguc.2023.132618","url":null,"abstract":"","PeriodicalId":44878,"journal":{"name":"International Journal of Grid and Utility Computing","volume":"2 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":"135828112","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/ijguc.2023.133436
Yingjun He, Wenhui Ouyang, Shaolong Li, Lin Wang, Jing Zhou, Wenwei Su, Shenzhang Li, Donghui Mei, Yan Shi, Yanxu Jin, Chenglin Li, Yonghui Ren
{"title":"Cloud computing data privacy protection method based on blockchain","authors":"Yingjun He, Wenhui Ouyang, Shaolong Li, Lin Wang, Jing Zhou, Wenwei Su, Shenzhang Li, Donghui Mei, Yan Shi, Yanxu Jin, Chenglin Li, Yonghui Ren","doi":"10.1504/ijguc.2023.133436","DOIUrl":"https://doi.org/10.1504/ijguc.2023.133436","url":null,"abstract":"","PeriodicalId":44878,"journal":{"name":"International Journal of Grid and Utility Computing","volume":"2 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":"135497214","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/ijguc.2023.133404
Munir Naveed, Yasir Javed, Muhammed Adnan, Israr Ahmed
Inventory control problem is faced by companies on a daily basis to optimise the supply chain process and for predicting the optimal pricing for the item sales or for providing services. The problem is heavily dependent on a key factor, i.e., demand variations. Inventories must be aligned according to demand variations to avoid overheads or shortages. This work focuses on exploring various machine learning algorithms to solve demand variation problem in real-time. Prediction of demand variations is a complex and non-trivial problem, particularly in the presence of open order. In this work, prediction of demand variation is addressed with the use-cases which are characterised with open orders. This work also presents a novel prediction model which is a hybrid of learning domains as well as domain specific parameters. It exploits the use of Internet of Things (IoT) to extract domain specific knowledge while a reinforcement learning technique is used for predicting the variations in these domain specific parameters which depend on demand variations. The new model is explored and compared with state-of-the-art machine learning algorithms using Grupo Bimbo case study. The results show that new model predicts the demand variations with significantly higher accuracy as compared to other models.
{"title":"Collaborative ambient intelligence-based demand variation prediction model","authors":"Munir Naveed, Yasir Javed, Muhammed Adnan, Israr Ahmed","doi":"10.1504/ijguc.2023.133404","DOIUrl":"https://doi.org/10.1504/ijguc.2023.133404","url":null,"abstract":"Inventory control problem is faced by companies on a daily basis to optimise the supply chain process and for predicting the optimal pricing for the item sales or for providing services. The problem is heavily dependent on a key factor, i.e., demand variations. Inventories must be aligned according to demand variations to avoid overheads or shortages. This work focuses on exploring various machine learning algorithms to solve demand variation problem in real-time. Prediction of demand variations is a complex and non-trivial problem, particularly in the presence of open order. In this work, prediction of demand variation is addressed with the use-cases which are characterised with open orders. This work also presents a novel prediction model which is a hybrid of learning domains as well as domain specific parameters. It exploits the use of Internet of Things (IoT) to extract domain specific knowledge while a reinforcement learning technique is used for predicting the variations in these domain specific parameters which depend on demand variations. The new model is explored and compared with state-of-the-art machine learning algorithms using Grupo Bimbo case study. The results show that new model predicts the demand variations with significantly higher accuracy as compared to other models.","PeriodicalId":44878,"journal":{"name":"International Journal of Grid and Utility Computing","volume":"23 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":"135497727","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/ijguc.2023.10059539
Vishal Sharma, Niranjan Lal, Anand Sharma
{"title":"Performance evaluation using throughput and latency of a blockchain-enabled patient centric secure and privacy preserve EHR-based on IPFS","authors":"Vishal Sharma, Niranjan Lal, Anand Sharma","doi":"10.1504/ijguc.2023.10059539","DOIUrl":"https://doi.org/10.1504/ijguc.2023.10059539","url":null,"abstract":"","PeriodicalId":44878,"journal":{"name":"International Journal of Grid and Utility Computing","volume":"6 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":"135953592","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 : 2022-01-01DOI: 10.1504/ijguc.2022.10049080
Yueyun Shao, Xiaohua Huang
{"title":"The use of interactive data visualisation technology in cultural digital heritage display using edge computing","authors":"Yueyun Shao, Xiaohua Huang","doi":"10.1504/ijguc.2022.10049080","DOIUrl":"https://doi.org/10.1504/ijguc.2022.10049080","url":null,"abstract":"","PeriodicalId":44878,"journal":{"name":"International Journal of Grid and Utility Computing","volume":"1 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66888295","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 : 2022-01-01DOI: 10.1504/ijguc.2022.10058205
M. Prasad, B. Madhavi
{"title":"Design and fabrication of dual band AMC-backed monopole antenna for WLAN and WiFi applications","authors":"M. Prasad, B. Madhavi","doi":"10.1504/ijguc.2022.10058205","DOIUrl":"https://doi.org/10.1504/ijguc.2022.10058205","url":null,"abstract":"","PeriodicalId":44878,"journal":{"name":"International Journal of Grid and Utility Computing","volume":"22 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66888432","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 : 2022-01-01DOI: 10.1504/ijguc.2022.10047657
Ricardo Rodriguez Jorge
{"title":"Rotating machinery fault diagnosis using a quadratic neural unit","authors":"Ricardo Rodriguez Jorge","doi":"10.1504/ijguc.2022.10047657","DOIUrl":"https://doi.org/10.1504/ijguc.2022.10047657","url":null,"abstract":"","PeriodicalId":44878,"journal":{"name":"International Journal of Grid and Utility Computing","volume":"12 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66888207","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/ijguc.2021.10034610
Fu Xiao, Wang Zhi-jian, Wang Meiling, Chen Ning, Zhu Yue, Zhang Lei, Wang Pei, Cao Xiaoning
After haunting all the software engineers for more than 26 years since it was discovered and classified in 2002, SQL injection still poses a most serious threat to developers, maintainers and users of web applications even into the brand new cloud era. SaaS, PaaS and IaaS virtualisation technologies which are widely used by cloud computing seemed to fail the enhancement of security against such an attack. We strive to study the mechanism and principles of SQL injection attack in order to help the information security personnel to understand and manage such risks.
{"title":"An old risk in the new era: SQL injection in cloud environment","authors":"Fu Xiao, Wang Zhi-jian, Wang Meiling, Chen Ning, Zhu Yue, Zhang Lei, Wang Pei, Cao Xiaoning","doi":"10.1504/ijguc.2021.10034610","DOIUrl":"https://doi.org/10.1504/ijguc.2021.10034610","url":null,"abstract":"After haunting all the software engineers for more than 26 years since it was discovered and classified in 2002, SQL injection still poses a most serious threat to developers, maintainers and users of web applications even into the brand new cloud era. SaaS, PaaS and IaaS virtualisation technologies which are widely used by cloud computing seemed to fail the enhancement of security against such an attack. We strive to study the mechanism and principles of SQL injection attack in order to help the information security personnel to understand and manage such risks.","PeriodicalId":44878,"journal":{"name":"International Journal of Grid and Utility Computing","volume":"1 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66888124","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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