Pub Date : 2023-01-01DOI: 10.1504/ijiei.2023.133073
A. Merabet, A. Lahoulou, Ahmed Alioua
{"title":"A multi-authorisation blockchain-based access control for cloud healthcare system","authors":"A. Merabet, A. Lahoulou, Ahmed Alioua","doi":"10.1504/ijiei.2023.133073","DOIUrl":"https://doi.org/10.1504/ijiei.2023.133073","url":null,"abstract":"","PeriodicalId":44231,"journal":{"name":"International Journal of Intelligent Engineering Informatics","volume":"11 1","pages":"191-213"},"PeriodicalIF":6.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67053101","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/ijiei.2023.10056757
T. P, A. A. Selvakumar
{"title":"Efficient De-Noising Brain MRI Images Using Various Filtering Techniques","authors":"T. P, A. A. Selvakumar","doi":"10.1504/ijiei.2023.10056757","DOIUrl":"https://doi.org/10.1504/ijiei.2023.10056757","url":null,"abstract":"","PeriodicalId":44231,"journal":{"name":"International Journal of Intelligent Engineering Informatics","volume":"1 1","pages":""},"PeriodicalIF":6.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67052900","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}
The uncertain dynamics and actuator saturation in attitude tracking of high-performance aircrafts have posed a serious challenge in deriving an accurate control strategy. This paper presents an adaptive observer-controller strategy to deal with these problems. It uses wavelet neural networks (WNN) to estimate the functional uncertainties in the nonlinear dynamics of the aircraft with 6 degree of freedom (6 DoF). WNN uses wavelets as activation function to achieve superior learning characteristics. This system is very close to the real time model as it is subjected to the modelling uncertainties and actuator saturation owing to the external random parameters which makes the control design very complicated. The novelty of this paper lies within the estimation of these highly random nonlinear uncertainties by the modified deep learning network, WNN and the respective controller-observer strategy. Simulation analysis has been performed to evaluate the performance of the theoretical development presented in the paper.
{"title":"Intelligent dynamic surface control strategy for high-performance aircraft subject to uncertain aerodynamics","authors":"Manish Sharma, Somya Dubey, Sachin Puntambekar, Vinit Gupta","doi":"10.1504/ijiei.2023.133071","DOIUrl":"https://doi.org/10.1504/ijiei.2023.133071","url":null,"abstract":"The uncertain dynamics and actuator saturation in attitude tracking of high-performance aircrafts have posed a serious challenge in deriving an accurate control strategy. This paper presents an adaptive observer-controller strategy to deal with these problems. It uses wavelet neural networks (WNN) to estimate the functional uncertainties in the nonlinear dynamics of the aircraft with 6 degree of freedom (6 DoF). WNN uses wavelets as activation function to achieve superior learning characteristics. This system is very close to the real time model as it is subjected to the modelling uncertainties and actuator saturation owing to the external random parameters which makes the control design very complicated. The novelty of this paper lies within the estimation of these highly random nonlinear uncertainties by the modified deep learning network, WNN and the respective controller-observer strategy. Simulation analysis has been performed to evaluate the performance of the theoretical development presented in the paper.","PeriodicalId":44231,"journal":{"name":"International Journal of Intelligent Engineering Informatics","volume":"19 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":"135057836","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/ijiei.2022.10053546
V. Khanna, A. S
{"title":"An Intelligent Fuzzy and IoT aware Air Quality Prediction and Monitoring System using CRF and Bi-LSTM","authors":"V. Khanna, A. S","doi":"10.1504/ijiei.2022.10053546","DOIUrl":"https://doi.org/10.1504/ijiei.2022.10053546","url":null,"abstract":"","PeriodicalId":44231,"journal":{"name":"International Journal of Intelligent Engineering Informatics","volume":"1 1","pages":""},"PeriodicalIF":6.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67052704","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/ijiei.2021.10044129
Parul Gupta, V. Sen, Shubhnandan S. Jamwal
{"title":"A novel approach for identification and classification of verbs in Dogri language","authors":"Parul Gupta, V. Sen, Shubhnandan S. Jamwal","doi":"10.1504/ijiei.2021.10044129","DOIUrl":"https://doi.org/10.1504/ijiei.2021.10044129","url":null,"abstract":"","PeriodicalId":44231,"journal":{"name":"International Journal of Intelligent Engineering Informatics","volume":"1 1","pages":""},"PeriodicalIF":6.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67052695","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 : 2018-12-06DOI: 10.1504/IJIEI.2018.10017815
Rehaiem Ghofrane, Gharsellaoui Hamza, B. Samir
Due to increasing energy requirements and associated environmental impacts, nowadays most embedded systems suffer from resource constraints as they are designed for applications that run in real-time. Many techniques have been proposed for both the planning of tasks and reducing energy consumption. In fact, a combination of dynamic voltage scaling (DVS) and time feedback can be used to scale the frequency dynamically adjusting the operating voltage. Indeed, we present in this paper a new hybrid contribution that handles the real-time scheduling of embedded systems, low power consumption depending on the combination of DVS and neural feedback planning (NFP) with the energy priority earlier deadline first (PEDF) algorithm. The preliminary experiments to compare the reconfigurable resulting from conventional methods are presented. The results are then discussed.
{"title":"New optimal solutions for real-time scheduling of reconfigurable embedded systems based on neural networks with minimisation of power consumption","authors":"Rehaiem Ghofrane, Gharsellaoui Hamza, B. Samir","doi":"10.1504/IJIEI.2018.10017815","DOIUrl":"https://doi.org/10.1504/IJIEI.2018.10017815","url":null,"abstract":"Due to increasing energy requirements and associated environmental impacts, nowadays most embedded systems suffer from resource constraints as they are designed for applications that run in real-time. Many techniques have been proposed for both the planning of tasks and reducing energy consumption. In fact, a combination of dynamic voltage scaling (DVS) and time feedback can be used to scale the frequency dynamically adjusting the operating voltage. Indeed, we present in this paper a new hybrid contribution that handles the real-time scheduling of embedded systems, low power consumption depending on the combination of DVS and neural feedback planning (NFP) with the energy priority earlier deadline first (PEDF) algorithm. The preliminary experiments to compare the reconfigurable resulting from conventional methods are presented. The results are then discussed.","PeriodicalId":44231,"journal":{"name":"International Journal of Intelligent Engineering Informatics","volume":"6 1","pages":"569-585"},"PeriodicalIF":6.3,"publicationDate":"2018-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47851139","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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