Pub Date : 2023-06-20DOI: 10.3991/ijim.v17i12.36951
G. Farsi
In this study, the impact of the theory Unified Theory of Acceptance and Use of Technology UTUAT2 in virtual reality System (VRS) is discussed. Virtual reality (VR) has emerged as a major tool in this field of research and education development.This study integrates UTAUT2 and the learning value architecture to extend the UTAUT2 framework and provides a new perspective on predictions of students' behavior intentions towards and use of VRS. used Method research as an approach to our study by using a closed questionnaire to collect data from many Omani university. The students who have previously used a virtual reality System. This research implemented framework and it was tested and evaluated with satisfactory results using advanced (PLS-SEM) tools.
{"title":"The Efficiency of UTAUT2 Model in Predicting Student's Acceptance of Using Virtual Reality Technology","authors":"G. Farsi","doi":"10.3991/ijim.v17i12.36951","DOIUrl":"https://doi.org/10.3991/ijim.v17i12.36951","url":null,"abstract":"In this study, the impact of the theory Unified Theory of Acceptance and Use of Technology UTUAT2 in virtual reality System (VRS) is discussed. Virtual reality (VR) has emerged as a major tool in this field of research and education development.This study integrates UTAUT2 and the learning value architecture to extend the UTAUT2 framework and provides a new perspective on predictions of students' behavior intentions towards and use of VRS. used Method research as an approach to our study by using a closed questionnaire to collect data from many Omani university. The students who have previously used a virtual reality System. This research implemented framework and it was tested and evaluated with satisfactory results using advanced (PLS-SEM) tools. \u0000 ","PeriodicalId":13648,"journal":{"name":"Int. J. Interact. Mob. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79971629","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 : 2023-06-20DOI: 10.3991/ijim.v17i12.36613
Hicham Boudlal, Mohammed Serrhini, A. Tahiri
Healthcare professionals, industry, and academics have all recently expressed a strong interest towards WiFi sensing. These techniques could be used to identify critical occurrences that sensitive persons may suffer, such as falls, sleep abnor-malities, wandering behavior, respiratory illnesses, and irregular heart activity. In this paper, we propose a low-cost, non-intrusive method to remotely monitor el-derly people without deploying devices on their bodies in a given space, using channel state information (CSI) from passive WiFi detection. Specifically, we monitored variables such as sitting and standing activity, and experimental valida-tion in practical situations with variable occupants, various environmental set-tings, and interference from other WiFi devices demonstrates robustness and scalability. Our results suggest that the proposed method can be put into practical-real use to detect activity and alert emergency personnel immediately, providing rapid medical assistance, saving lives, minimizing damage, and reducing anxiety for elderly people residing alone.
{"title":"A Monitoring System for Elderly People Using WiFi Sensing with Channel State Information","authors":"Hicham Boudlal, Mohammed Serrhini, A. Tahiri","doi":"10.3991/ijim.v17i12.36613","DOIUrl":"https://doi.org/10.3991/ijim.v17i12.36613","url":null,"abstract":"Healthcare professionals, industry, and academics have all recently expressed a strong interest towards WiFi sensing. These techniques could be used to identify critical occurrences that sensitive persons may suffer, such as falls, sleep abnor-malities, wandering behavior, respiratory illnesses, and irregular heart activity. In this paper, we propose a low-cost, non-intrusive method to remotely monitor el-derly people without deploying devices on their bodies in a given space, using channel state information (CSI) from passive WiFi detection. Specifically, we monitored variables such as sitting and standing activity, and experimental valida-tion in practical situations with variable occupants, various environmental set-tings, and interference from other WiFi devices demonstrates robustness and scalability. Our results suggest that the proposed method can be put into practical-real use to detect activity and alert emergency personnel immediately, providing rapid medical assistance, saving lives, minimizing damage, and reducing anxiety for elderly people residing alone.","PeriodicalId":13648,"journal":{"name":"Int. J. Interact. Mob. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81512875","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 : 2023-06-20DOI: 10.3991/ijim.v17i12.38095
Hakim Jebari, Meriem Hayani Mechkouri, Siham Rekiek, K. Reklaoui
Poultry farms have played a significant role throughout human history, in feeding the growing population. A good environment is a perfect condition for the growth of poultry, preventing disease, and effective production. The temperature higher and the humidity favor the growth of bacteria and hence the production of ammonia (NH3) by the decomposition of organic matter. Ammonia (NH3), carbon monoxide (CO), and carbon dioxide (CO2), Methane (CH4), hydrogen sulfide (H2S) are poisonous gases that can cause poultry diseases and mortality. The combination of Artificial Intelligence (AI), Internet of Things (IoT), and Edge Computing offer efficient and intelligent stand-alone systems of monitoring in real-time, predicting, and advanced automation. The paper aims to monitor in real-time and predict poultry barns' environmental conditions using an artificial intelligence algorithm. An intelligent system called Poultry-Edge-AI-IoT has been developed to gather, hash, store, pretreat, filter, knowledge extract, and transmit information from a heterogeneous wireless sensor network. The Poultry-Edge-AI-IoT system is based on IoT, AI, and Edge Computing for the detection of potential stress, the harmful gas concentration, and the prediction of poultry barns' environmental conditions. The system is modular and upgradeable.
{"title":"Poultry-Edge-AI-IoT System for Real-Time Monitoring and Predicting by Using Artificial Intelligence","authors":"Hakim Jebari, Meriem Hayani Mechkouri, Siham Rekiek, K. Reklaoui","doi":"10.3991/ijim.v17i12.38095","DOIUrl":"https://doi.org/10.3991/ijim.v17i12.38095","url":null,"abstract":"Poultry farms have played a significant role throughout human history, in feeding the growing population. A good environment is a perfect condition for the growth of poultry, preventing disease, and effective production. The temperature higher and the humidity favor the growth of bacteria and hence the production of ammonia (NH3) by the decomposition of organic matter. Ammonia (NH3), carbon monoxide (CO), and carbon dioxide (CO2), Methane (CH4), hydrogen sulfide (H2S) are poisonous gases that can cause poultry diseases and mortality. The combination of Artificial Intelligence (AI), Internet of Things (IoT), and Edge Computing offer efficient and intelligent stand-alone systems of monitoring in real-time, predicting, and advanced automation. The paper aims to monitor in real-time and predict poultry barns' environmental conditions using an artificial intelligence algorithm. An intelligent system called Poultry-Edge-AI-IoT has been developed to gather, hash, store, pretreat, filter, knowledge extract, and transmit information from a heterogeneous wireless sensor network. The Poultry-Edge-AI-IoT system is based on IoT, AI, and Edge Computing for the detection of potential stress, the harmful gas concentration, and the prediction of poultry barns' environmental conditions. The system is modular and upgradeable.","PeriodicalId":13648,"journal":{"name":"Int. J. Interact. Mob. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82231607","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 : 2023-06-20DOI: 10.3991/ijim.v17i12.38627
D.T.P. Yanto, Sukardi, Maryatun Kabatiah, Hermi Zaswita, O. Candra
This study discusses the analysis of various variables affecting vocational students' intention to use a Virtual Laboratory (VL) in remote learning. Based on the Technology Acceptance Model (TAM), perceived ease of use (PEU), and perceived usefulness (PU) as exogenous variables. At the same time, attitudes towards VL (A) as an intervening variable. This research was conducted in the learning process of the Power Electronics Practicum for vocational education students. This study involved 105 vocational students from the Industrial Electrical Engineering Study Program, at Universitas Negeri Padang. Research data were analyzed using Partial Least Square-Structural Equation Modeling (PLS-SEM). The study results showed that the exogenous variables (PEU, PU, & A) had a significant and positive effect (directly and indirectly through intervening variables) on vocational students' intentions to use the virtual laboratory to support the implementation of remote learning in the Power Electronics Practicum Course. These factors can be considered in determining the appropriate virtual laboratory application to be applied in the learning process.
{"title":"Analysis of Factors Affecting Vocational Students' Intentions to Use a Virtual Laboratory Based on the Technology Acceptance Model","authors":"D.T.P. Yanto, Sukardi, Maryatun Kabatiah, Hermi Zaswita, O. Candra","doi":"10.3991/ijim.v17i12.38627","DOIUrl":"https://doi.org/10.3991/ijim.v17i12.38627","url":null,"abstract":"This study discusses the analysis of various variables affecting vocational students' intention to use a Virtual Laboratory (VL) in remote learning. Based on the Technology Acceptance Model (TAM), perceived ease of use (PEU), and perceived usefulness (PU) as exogenous variables. At the same time, attitudes towards VL (A) as an intervening variable. This research was conducted in the learning process of the Power Electronics Practicum for vocational education students. This study involved 105 vocational students from the Industrial Electrical Engineering Study Program, at Universitas Negeri Padang. Research data were analyzed using Partial Least Square-Structural Equation Modeling (PLS-SEM). The study results showed that the exogenous variables (PEU, PU, & A) had a significant and positive effect (directly and indirectly through intervening variables) on vocational students' intentions to use the virtual laboratory to support the implementation of remote learning in the Power Electronics Practicum Course. These factors can be considered in determining the appropriate virtual laboratory application to be applied in the learning process.","PeriodicalId":13648,"journal":{"name":"Int. J. Interact. Mob. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79078723","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 : 2023-06-20DOI: 10.3991/ijim.v17i12.37995
Qurat ul Ain, M. S. Missen, S. Prasath
Usability is one of the most important characteristics of software applications, especially when it comes to mobile shopping applications. There is a great deal of shift from traditional shopping to online shopping because it benefits both parties i.e., customers as well as businessmen. In such a scenario, the usability factor can play a very vital role in the business industry. If a client stops using a mobile shopping app because it is not user-friendly, it can badly damage the annual revenues especially when hundreds of alternatives are available and there is tough competition. Therefore, to keep existing customers intact and to attract new customers, it is very important to provide a user-friendly mobile app to customers. In this paper, we consider a large variety of online customers with diverse requirements. background and constraints and evaluate the usability of existing mobile e-commerce apps to identify the actual problems people are facing with existing applications and do a systematic review of existing shopping apps. Then, we propose a personalized and adaptive usability model for mobile commerce apps considering the neglected user type i.e., illiterates and people with tactile disabilities. The proposed model LRAP is a layered approach from generalization to specification and it can be considered an extension of the famous PACMAD usability model. Besides this, we also suggest a combining score tool which will be helpful in measuring the usability of any app.
{"title":"LRAP: Layered Ring Based Adaptive and Personalized Usability Model for Mobile Commerce Apps","authors":"Qurat ul Ain, M. S. Missen, S. Prasath","doi":"10.3991/ijim.v17i12.37995","DOIUrl":"https://doi.org/10.3991/ijim.v17i12.37995","url":null,"abstract":"Usability is one of the most important characteristics of software applications, especially when it comes to mobile shopping applications. There is a great deal of shift from traditional shopping to online shopping because it benefits both parties i.e., customers as well as businessmen. In such a scenario, the usability factor can play a very vital role in the business industry. If a client stops using a mobile shopping app because it is not user-friendly, it can badly damage the annual revenues especially when hundreds of alternatives are available and there is tough competition. Therefore, to keep existing customers intact and to attract new customers, it is very important to provide a user-friendly mobile app to customers. In this paper, we consider a large variety of online customers with diverse requirements. background and constraints and evaluate the usability of existing mobile e-commerce apps to identify the actual problems people are facing with existing applications and do a systematic review of existing shopping apps. Then, we propose a personalized and adaptive usability model for mobile commerce apps considering the neglected user type i.e., illiterates and people with tactile disabilities. The proposed model LRAP is a layered approach from generalization to specification and it can be considered an extension of the famous PACMAD usability model. Besides this, we also suggest a combining score tool which will be helpful in measuring the usability of any app.","PeriodicalId":13648,"journal":{"name":"Int. J. Interact. Mob. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77245164","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 : 2023-06-20DOI: 10.3991/ijim.v17i12.40317
Niroj Dahal, B. P. Pant, Bal Chandra Luitel, Jiban Khadka, Indra Mani Shrestha, Netra Kumar Manandhar, Roshani Rajbanshi
This study attempts to develop a reliable, practical, and efficient process for developing online and distance courses. The study aims to develop e-learning online and distance education courses. ICT and e-Research course development processes have shown significant learning opportunities and outcomes. A substitute for raising these opportunities is the need for innovative research in education while implementing online and distance modes of learning and teaching. Subscribing research and development research methodology, the study aims to produce e-learning instructional materials using a three-stage development model. The course, along with the learning strategy, the learning tools, the assessment tools, and other components, are designed and developed using the Plomp model, a development research model. The research participants were forty-two 2021 Winter Batch MPhil in Educational Studies students and nine lecturers at Nepal Open University (NOU), Nepal. The descriptive analysis uses data analysis to explain the online course's validity, applicability, and effectiveness. Experimental research design was developed using the one-group pre-test post-test design methodology. The most important results are results of preliminary analysis, validity: average material validation is 0.885; average media validation is 0.885 and practicality: more than 71% (very practical). This article proposes a more comprehensive framework to design, develop, and implement online and distance courses in e-learning systems in higher education.
{"title":"Development and Evaluation of E-Learning Courses: Validity, Practicality, and Effectiveness","authors":"Niroj Dahal, B. P. Pant, Bal Chandra Luitel, Jiban Khadka, Indra Mani Shrestha, Netra Kumar Manandhar, Roshani Rajbanshi","doi":"10.3991/ijim.v17i12.40317","DOIUrl":"https://doi.org/10.3991/ijim.v17i12.40317","url":null,"abstract":"This study attempts to develop a reliable, practical, and efficient process for developing online and distance courses. The study aims to develop e-learning online and distance education courses. ICT and e-Research course development processes have shown significant learning opportunities and outcomes. A substitute for raising these opportunities is the need for innovative research in education while implementing online and distance modes of learning and teaching. Subscribing research and development research methodology, the study aims to produce e-learning instructional materials using a three-stage development model. The course, along with the learning strategy, the learning tools, the assessment tools, and other components, are designed and developed using the Plomp model, a development research model. The research participants were forty-two 2021 Winter Batch MPhil in Educational Studies students and nine lecturers at Nepal Open University (NOU), Nepal. The descriptive analysis uses data analysis to explain the online course's validity, applicability, and effectiveness. Experimental research design was developed using the one-group pre-test post-test design methodology. The most important results are results of preliminary analysis, validity: average material validation is 0.885; average media validation is 0.885 and practicality: more than 71% (very practical). This article proposes a more comprehensive framework to design, develop, and implement online and distance courses in e-learning systems in higher education.","PeriodicalId":13648,"journal":{"name":"Int. J. Interact. Mob. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86940653","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 : 2023-06-20DOI: 10.3991/ijim.v17i12.39205
Gan Chanyawudhiwan, Kemmanat Mingsiritham
Learning resources are very important to all the stakeholders in the world of education. There is a very large number of learning resources today and they are scattered all over the internet. This study was about the development of a new smart learning resource management system called STOU SmartLearnX, which can locate and pull up digital content from the internet and social media. It has integrated technology to support independent learning via digital media. The system passed quality control evaluation by a panel of 15 experts before being tested on bachelor’s degree students enrolled in an online course emphasizing nanolearning style offered by an open university in Thailand. The 65 sample students testing the system came from Humanities and social science, Science and technology and Health science. They were given a pretest before using STOU SmartLearnX in the course and a posttest after using it, and their mean scores were compared using t-test dependent and one-way ANOVA. Mean posttest scores were higher than pretest scores to a statistically significant degree, but there was no significant difference in posttest scores between the students from the group, indicating that the system can be successfully used for learning in different subject areas. In the future the system may be further developed to make it able to deliver more precise results by utilizing advanced searches and images. Searches should take into account the context and should be responsive.
{"title":"Use of Smart Learning Resource Management Systems for Sustainable Learning","authors":"Gan Chanyawudhiwan, Kemmanat Mingsiritham","doi":"10.3991/ijim.v17i12.39205","DOIUrl":"https://doi.org/10.3991/ijim.v17i12.39205","url":null,"abstract":"Learning resources are very important to all the stakeholders in the world of education. There is a very large number of learning resources today and they are scattered all over the internet. This study was about the development of a new smart learning resource management system called STOU SmartLearnX, which can locate and pull up digital content from the internet and social media. It has integrated technology to support independent learning via digital media. The system passed quality control evaluation by a panel of 15 experts before being tested on bachelor’s degree students enrolled in an online course emphasizing nanolearning style offered by an open university in Thailand. The 65 sample students testing the system came from Humanities and social science, Science and technology and Health science. They were given a pretest before using STOU SmartLearnX in the course and a posttest after using it, and their mean scores were compared using t-test dependent and one-way ANOVA. Mean posttest scores were higher than pretest scores to a statistically significant degree, but there was no significant difference in posttest scores between the students from the group, indicating that the system can be successfully used for learning in different subject areas. In the future the system may be further developed to make it able to deliver more precise results by utilizing advanced searches and images. Searches should take into account the context and should be responsive.","PeriodicalId":13648,"journal":{"name":"Int. J. Interact. Mob. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88905222","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 : 2023-06-20DOI: 10.3991/ijim.v17i12.38227
Oussama Dardary, M. Tridane, Said Bealaaouad
This study focuses on the correlations that exist between many items linked to the use and integration of Information and communication technologies (ICTs), through a survey based on the collection of data from questionnaires distributed to qualifying secondary school teachers (N = 102) in the Casablanca-Settat region, Morocco. In this study we will ask questions, and try to get some answers during the correlational analysis of the collected data, through a questionnaire, such as: Are the age and gender directly linked to the integration of ICTs by teachers? And many other questions. A Spearman product-moment correlation coefficient was conducted to evaluate the null hypothesis that says that there is no relationship between the selected items, such as: teacher’s gender, teachers’ ages, Information and communication technologies mastery, university degree and many others). Preliminary analysis showed that there a correlation between age and Information and communication technologies mastery, and there was a significant evidence to conduct that there was a negative association between age and Information and communication technologies mastery r(102) = -.57,p=.01. The results also showed that males master Information and communication technologies well, there for there is a correlation between gender and Information and communication technologies mastery r(101) = .56,p=.02. A strong correlation between university degree and Information and communication technologies mastery r(98) = .58 ,p=.01, and others included in this research.
{"title":"Correlational Analysis of Information and Communication Technologies' Integration in Direct and Distance Teaching","authors":"Oussama Dardary, M. Tridane, Said Bealaaouad","doi":"10.3991/ijim.v17i12.38227","DOIUrl":"https://doi.org/10.3991/ijim.v17i12.38227","url":null,"abstract":"This study focuses on the correlations that exist between many items linked to the use and integration of Information and communication technologies (ICTs), through a survey based on the collection of data from questionnaires distributed to qualifying secondary school teachers (N = 102) in the Casablanca-Settat region, Morocco. In this study we will ask questions, and try to get some answers during the correlational analysis of the collected data, through a questionnaire, such as: Are the age and gender directly linked to the integration of ICTs by teachers? And many other questions. \u0000A Spearman product-moment correlation coefficient was conducted to evaluate the null hypothesis that says that there is no relationship between the selected items, such as: teacher’s gender, teachers’ ages, Information and communication technologies mastery, university degree and many others). Preliminary analysis showed that there a correlation between age and Information and communication technologies mastery, and there was a significant evidence to conduct that there was a negative association between age and Information and communication technologies mastery r(102) = -.57,p=.01. The results also showed that males master Information and communication technologies well, there for there is a correlation between gender and Information and communication technologies mastery r(101) = .56,p=.02. A strong correlation between university degree and Information and communication technologies mastery r(98) = .58 ,p=.01, and others included in this research.","PeriodicalId":13648,"journal":{"name":"Int. J. Interact. Mob. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89177955","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 : 2023-06-20DOI: 10.3991/ijim.v17i12.39411
Jaafar Qassim Kadhim, A. Sallomi
In this study, convolutional neural networks (CNN) and particle swarm optimization are used to offer a channel estimate technique for low power reconfigurable intelligent surface (RIS) assisted wireless communications (PSO). The suggested approach makes use of the RIS channels' sparsity to lower the CNN model's training complexity and uses PSO to optimize the CNN model's hyperparameters. The proposed system has been trained using 70% of dataset, 25% of data was used for testing and remaining 5% was used for cross-validation. In comparison to previous methods, simulation results demonstrate that the proposed method delivers correct channel estimate with much less computing cost. The suggested technique also exceeds current techniques in terms of bit error rate (BER) and mean squared error (MSE) performance. The research found 96.47% and 90.96% of accuracy for CNN and PSO algorithm respectively. Moverover, the network was trained using a dataset mentioned in methodology section for channel realizations, and achieved a mean squared error (MSE) value of 0.012 using CNN algorithm. Also, the study reported the proposed technique outperformed other state-of-the-art techniques. The proposed technique of PSO to optimize the channel estimation, and achieved a mean squared error (MSE) value of 0.0075.
{"title":"Enabling Deep Learning and Swarm Optimization Algorithm for Channel Estimation for Low Power RIS Assisted Wireless Communications","authors":"Jaafar Qassim Kadhim, A. Sallomi","doi":"10.3991/ijim.v17i12.39411","DOIUrl":"https://doi.org/10.3991/ijim.v17i12.39411","url":null,"abstract":"In this study, convolutional neural networks (CNN) and particle swarm optimization are used to offer a channel estimate technique for low power reconfigurable intelligent surface (RIS) assisted wireless communications (PSO). The suggested approach makes use of the RIS channels' sparsity to lower the CNN model's training complexity and uses PSO to optimize the CNN model's hyperparameters. The proposed system has been trained using 70% of dataset, 25% of data was used for testing and remaining 5% was used for cross-validation. In comparison to previous methods, simulation results demonstrate that the proposed method delivers correct channel estimate with much less computing cost. The suggested technique also exceeds current techniques in terms of bit error rate (BER) and mean squared error (MSE) performance. The research found 96.47% and 90.96% of accuracy for CNN and PSO algorithm respectively. Moverover, the network was trained using a dataset mentioned in methodology section for channel realizations, and achieved a mean squared error (MSE) value of 0.012 using CNN algorithm. Also, the study reported the proposed technique outperformed other state-of-the-art techniques. The proposed technique of PSO to optimize the channel estimation, and achieved a mean squared error (MSE) value of 0.0075.","PeriodicalId":13648,"journal":{"name":"Int. J. Interact. Mob. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89832993","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 : 2023-06-20DOI: 10.3991/ijim.v17i12.38485
Muhammad Akram Mohd Noordin, S. Saon, A. Mahamad, Mazlan Abbas
Aquaponics is a farming practice that combines the benefits of hydroponics and aquaculture. An Internet of Things (IoT) aquaponics system is used to help collect vast amounts of ecological and agricultural data. An aquaponics system, including a fish tank and planting area, has been completed and set up as an experimental field. The main objectives of this project are to develop and design a monitoring system for aquaponics that can be utilised in many aspects. This project utilises Arduino, Wi-Fi shield and Android applications for monitoring purposes. A pH sensor, temperature and servo motor are used to retrieve and store the data on the Favoriot platform. The result obtained from the sensors was degree temperature, soil moisture, pH, and automatic fish feeder. The system acquires an average performance of 92.5%, considering the data receive and system functionality. In conclusion, the project can monitor the water temperature, soil moisture, pH and provide notifications through the mobile application of the aquaponic monitoring system.
{"title":"Aquaponic Monitoring System and Fish Feeding with Favoriot","authors":"Muhammad Akram Mohd Noordin, S. Saon, A. Mahamad, Mazlan Abbas","doi":"10.3991/ijim.v17i12.38485","DOIUrl":"https://doi.org/10.3991/ijim.v17i12.38485","url":null,"abstract":"Aquaponics is a farming practice that combines the benefits of hydroponics and aquaculture. An Internet of Things (IoT) aquaponics system is used to help collect vast amounts of ecological and agricultural data. An aquaponics system, including a fish tank and planting area, has been completed and set up as an experimental field. The main objectives of this project are to develop and design a monitoring system for aquaponics that can be utilised in many aspects. This project utilises Arduino, Wi-Fi shield and Android applications for monitoring purposes. A pH sensor, temperature and servo motor are used to retrieve and store the data on the Favoriot platform. The result obtained from the sensors was degree temperature, soil moisture, pH, and automatic fish feeder. The system acquires an average performance of 92.5%, considering the data receive and system functionality. In conclusion, the project can monitor the water temperature, soil moisture, pH and provide notifications through the mobile application of the aquaponic monitoring system.","PeriodicalId":13648,"journal":{"name":"Int. J. Interact. Mob. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90613246","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：