Pub Date : 2022-12-02DOI: 10.1109/SKIMA57145.2022.10029670
P. Jaroenwanit, W. Leelapatra, Z. Szabó
This research is a conceptual paper, aims to investigate the determinants of intention to continue using Smart farming and the resulting sustainability of smart farming among farmers who are on smart agriculture. The constructs of decomposed expectancy disconfirmation theory (DEDT) are evaluated from the perspective of smart farmers in relation to smart farming success variables, perceived usefulness, intention to continue using smart farming and sustainability of smart farming. The expected outcome of the study is the development of a model of factors affecting continuance intention on smart farming and sustainability.
{"title":"Drivers of Farmers' Continuance Intention on Smart Farming and Sustainability in Thailand","authors":"P. Jaroenwanit, W. Leelapatra, Z. Szabó","doi":"10.1109/SKIMA57145.2022.10029670","DOIUrl":"https://doi.org/10.1109/SKIMA57145.2022.10029670","url":null,"abstract":"This research is a conceptual paper, aims to investigate the determinants of intention to continue using Smart farming and the resulting sustainability of smart farming among farmers who are on smart agriculture. The constructs of decomposed expectancy disconfirmation theory (DEDT) are evaluated from the perspective of smart farmers in relation to smart farming success variables, perceived usefulness, intention to continue using smart farming and sustainability of smart farming. The expected outcome of the study is the development of a model of factors affecting continuance intention on smart farming and sustainability.","PeriodicalId":277436,"journal":{"name":"2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123638990","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}
Agriculture 4.0 is emerging as the next big trend, with a focus on smart and precision agriculture to maximise benefits in the context of growing populations and climate change. Agriculture 4.0 supports the adoption of intelligent systems in all spheres of farming, harvesting, irrigation, and so on. Though there is enough inclusion of Artificial Intelligence and Internet of Things (IoT) based systems in developed countries, agriculture sector of Bangladesh did not receive that much attention. To mitigate this gap, a Big Data and IoT based architecture for crop, fisheries, and livestock has been proposed in this paper based on the existing research advancements around the world where different nodes and actuators will be implemented in field level to read environmental stimuli and forward to cloud server for processing. A thorough review work was performed on agriculture 4.0, and these framework were analysed from the perspective of Bangladesh. This paper will fulfil the requirement of a connection between the existing state of the art researches and its suitability in terms of a developing country like Bangladesh.
{"title":"Agriculture 4.0 in Bangladesh: Issues and Challenges","authors":"Saleh Akram Joy, Arefin Ittesafun Abian, Shifa Chowdhury Iwase, Syed Ishtiak Rahman, Juairia, Tapotosh Ghosh, D. Farid","doi":"10.1109/SKIMA57145.2022.10029472","DOIUrl":"https://doi.org/10.1109/SKIMA57145.2022.10029472","url":null,"abstract":"Agriculture 4.0 is emerging as the next big trend, with a focus on smart and precision agriculture to maximise benefits in the context of growing populations and climate change. Agriculture 4.0 supports the adoption of intelligent systems in all spheres of farming, harvesting, irrigation, and so on. Though there is enough inclusion of Artificial Intelligence and Internet of Things (IoT) based systems in developed countries, agriculture sector of Bangladesh did not receive that much attention. To mitigate this gap, a Big Data and IoT based architecture for crop, fisheries, and livestock has been proposed in this paper based on the existing research advancements around the world where different nodes and actuators will be implemented in field level to read environmental stimuli and forward to cloud server for processing. A thorough review work was performed on agriculture 4.0, and these framework were analysed from the perspective of Bangladesh. This paper will fulfil the requirement of a connection between the existing state of the art researches and its suitability in terms of a developing country like Bangladesh.","PeriodicalId":277436,"journal":{"name":"2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127115820","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 : 2022-12-02DOI: 10.1109/SKIMA57145.2022.10029483
Bilgesu Bayir, A. Charles, A. Sekhari, Y. Ouzrout
Consumers who look for high-quality food products with well-known origins turn to shorter and more transparent food supply chains. Food supply chains that aim at a minimized number of intermediaries are called Short Food Supply Chains (SFSCs). Despite the consumer demand, SFSCs face logistics challenges that affect their performance, limit their potential benefits, and prevent them from adjusting their capacity in the face of volatile demand. In the literature, the logistics drawbacks of SFSCs are widely acknowledged; however, the available research mostly consists of descriptive studies rather than prescriptive ones that adopt modeling approaches and offer solutions to such drawbacks. This paper presents an ongoing prescriptive study that is based on a real SFSC from Lyon, France. In the study that seeks performance improvement strategies for the handled SFSC, an agent-based model is being developed on the simulation platform AnyLogic to represent the actual state of the initiative. Additionally, Key Performance Indicators (KPIs) are being proposed for performance measurement, by considering the weaknesses of SFSCs in a general sense and the particularities of the case study. The next steps of the study will include the modeling of to-be scenarios that will be determined based on the literature and real-life information, as well as a comparison between the as-is model and the to-be models using the proposed KPIs, to offer decision support at strategic and tactical levels.
{"title":"Performance Measurement and Improvement in Short Food Supply Chains: A Case Study from Lyon, France","authors":"Bilgesu Bayir, A. Charles, A. Sekhari, Y. Ouzrout","doi":"10.1109/SKIMA57145.2022.10029483","DOIUrl":"https://doi.org/10.1109/SKIMA57145.2022.10029483","url":null,"abstract":"Consumers who look for high-quality food products with well-known origins turn to shorter and more transparent food supply chains. Food supply chains that aim at a minimized number of intermediaries are called Short Food Supply Chains (SFSCs). Despite the consumer demand, SFSCs face logistics challenges that affect their performance, limit their potential benefits, and prevent them from adjusting their capacity in the face of volatile demand. In the literature, the logistics drawbacks of SFSCs are widely acknowledged; however, the available research mostly consists of descriptive studies rather than prescriptive ones that adopt modeling approaches and offer solutions to such drawbacks. This paper presents an ongoing prescriptive study that is based on a real SFSC from Lyon, France. In the study that seeks performance improvement strategies for the handled SFSC, an agent-based model is being developed on the simulation platform AnyLogic to represent the actual state of the initiative. Additionally, Key Performance Indicators (KPIs) are being proposed for performance measurement, by considering the weaknesses of SFSCs in a general sense and the particularities of the case study. The next steps of the study will include the modeling of to-be scenarios that will be determined based on the literature and real-life information, as well as a comparison between the as-is model and the to-be models using the proposed KPIs, to offer decision support at strategic and tactical levels.","PeriodicalId":277436,"journal":{"name":"2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127757883","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 : 2022-12-02DOI: 10.1109/SKIMA57145.2022.10029494
Xin Wang, Yating Guo, Yantao Zhao, Hongnian Yu
In recent years, due to the emergence of COVID-19(Corona Virus Disease 2019), how to have a higher quality medical environment has become a troubling problem. The proposal of the Office of the State Council on promoting the development of “Internet plus medical and health” has brought a lot of convenience to the public, but also brought about the problem of data leakage and other user privacy protection. In view of the problems of user's personal information storage and user's health data processing in the medical and health context, how to ensure that these data are not stolen, leaked or tampered with has become a major challenge faced by current researchers. Based on the privacy protection of users in the context of health care, this paper classifies the current privacy protection mechanisms, and introduces the latest progress of related technologies. Finally, according to the integrated information, the research direction of privacy protection technologies in the field of health care is prospected.
{"title":"The New Progress and Methods of Privacy Protection on Medical and Health Big Data*","authors":"Xin Wang, Yating Guo, Yantao Zhao, Hongnian Yu","doi":"10.1109/SKIMA57145.2022.10029494","DOIUrl":"https://doi.org/10.1109/SKIMA57145.2022.10029494","url":null,"abstract":"In recent years, due to the emergence of COVID-19(Corona Virus Disease 2019), how to have a higher quality medical environment has become a troubling problem. The proposal of the Office of the State Council on promoting the development of “Internet plus medical and health” has brought a lot of convenience to the public, but also brought about the problem of data leakage and other user privacy protection. In view of the problems of user's personal information storage and user's health data processing in the medical and health context, how to ensure that these data are not stolen, leaked or tampered with has become a major challenge faced by current researchers. Based on the privacy protection of users in the context of health care, this paper classifies the current privacy protection mechanisms, and introduces the latest progress of related technologies. Finally, according to the integrated information, the research direction of privacy protection technologies in the field of health care is prospected.","PeriodicalId":277436,"journal":{"name":"2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115941091","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 : 2022-12-02DOI: 10.1109/SKIMA57145.2022.10029401
Joe Farrell, Nazia Hameed, M. Hasan
To diagnose dangerous skin lesions early, this project's research objective was to develop an algorithm to diagnose lesions into six non-overlapping classes, i.e., healthy, psoriasis, acne, eczema, benign melanoma, and malignant melanoma, and maximize the diagnosis accuracy. The algorithm developed includes techniques such as ensemble learning, feature extraction transfer learning, fine-tuning transfer learning, data augmentation and a multi-level architecture. The algorithm proposed produces 96.67% accuracy, showing the techniques were beneficial.
{"title":"Designing a Classification Algorithm for Skin Lesions","authors":"Joe Farrell, Nazia Hameed, M. Hasan","doi":"10.1109/SKIMA57145.2022.10029401","DOIUrl":"https://doi.org/10.1109/SKIMA57145.2022.10029401","url":null,"abstract":"To diagnose dangerous skin lesions early, this project's research objective was to develop an algorithm to diagnose lesions into six non-overlapping classes, i.e., healthy, psoriasis, acne, eczema, benign melanoma, and malignant melanoma, and maximize the diagnosis accuracy. The algorithm developed includes techniques such as ensemble learning, feature extraction transfer learning, fine-tuning transfer learning, data augmentation and a multi-level architecture. The algorithm proposed produces 96.67% accuracy, showing the techniques were beneficial.","PeriodicalId":277436,"journal":{"name":"2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","volume":"290 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117308923","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 : 2022-12-02DOI: 10.1109/SKIMA57145.2022.10029661
P. Sureephong, Thanakrit Detananporn, S. Chernbumroong, S. Wongsila
Elderly who live in communities, falls are the major cause of unintentional injuries and premature mortality. 21 exercise set postures were developed and designed from the 9-step dance and aerobic workout under the project “Development of Edge Computing and Exercise Platform Using 3D Motion Analysis for Elderly Mobility Disorder Prevention”. The main objective of creating exercise set is fall prevention in elderly people since we believe that the postures able to enhance balance body movement in three muscle parts; upper limb, lower limb, and trunk. However, the effectiveness of exercise posture never be evaluated. Three physical education experts were invited to provide the score of 20 major muscles of the posture in the exercise set. The muscles were graded based on five likert scale (from strongly focus to strongly poor). The overall result shown that upper limb and lower limb were graded moderate while truck muscle was poor. The average score of each major muscle is also presented in the paper.
{"title":"Evaluate the Effectiveness of Fall Prevention Exercise Posture for Elderly","authors":"P. Sureephong, Thanakrit Detananporn, S. Chernbumroong, S. Wongsila","doi":"10.1109/SKIMA57145.2022.10029661","DOIUrl":"https://doi.org/10.1109/SKIMA57145.2022.10029661","url":null,"abstract":"Elderly who live in communities, falls are the major cause of unintentional injuries and premature mortality. 21 exercise set postures were developed and designed from the 9-step dance and aerobic workout under the project “Development of Edge Computing and Exercise Platform Using 3D Motion Analysis for Elderly Mobility Disorder Prevention”. The main objective of creating exercise set is fall prevention in elderly people since we believe that the postures able to enhance balance body movement in three muscle parts; upper limb, lower limb, and trunk. However, the effectiveness of exercise posture never be evaluated. Three physical education experts were invited to provide the score of 20 major muscles of the posture in the exercise set. The muscles were graded based on five likert scale (from strongly focus to strongly poor). The overall result shown that upper limb and lower limb were graded moderate while truck muscle was poor. The average score of each major muscle is also presented in the paper.","PeriodicalId":277436,"journal":{"name":"2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125073364","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 : 2022-12-02DOI: 10.1109/SKIMA57145.2022.10029529
Rabindra Bista, Madhusudhan Chaudhary
Fault detection in Wireless Sensor Networks (WSNs) is of great importance to maintain the precision of data obtained from the network. Since, sensor nodes are deployed in unpleasantly rough and unfriendly environment for long duration; they are subjected to faults and failure. Once the sensor node is faulty, it generates erroneous and incorrect data which result in wrong interpretation and false alarms. Therefore, there is need for fault detection in Wireless Sensor Networks. In this paper, a new fault detection approach is proposed, which is based on Spearman's correlation coefficient and K-nearest neighbor classification algorithm. The Correlation coefficient is used for revealing the internal status of sensor nodes and K-nearest neighbor algorithm is used for classifying the abnormal nodes from the normal nodes. We simulated our proposed algorithm and MCDFD and on comparison found that the proposed algorithm outperforms the existing MCDFD algorithm in terms of detection accuracy and false positive rate.
{"title":"A New Fault Detection Approach in Wireless Sensor Networks","authors":"Rabindra Bista, Madhusudhan Chaudhary","doi":"10.1109/SKIMA57145.2022.10029529","DOIUrl":"https://doi.org/10.1109/SKIMA57145.2022.10029529","url":null,"abstract":"Fault detection in Wireless Sensor Networks (WSNs) is of great importance to maintain the precision of data obtained from the network. Since, sensor nodes are deployed in unpleasantly rough and unfriendly environment for long duration; they are subjected to faults and failure. Once the sensor node is faulty, it generates erroneous and incorrect data which result in wrong interpretation and false alarms. Therefore, there is need for fault detection in Wireless Sensor Networks. In this paper, a new fault detection approach is proposed, which is based on Spearman's correlation coefficient and K-nearest neighbor classification algorithm. The Correlation coefficient is used for revealing the internal status of sensor nodes and K-nearest neighbor algorithm is used for classifying the abnormal nodes from the normal nodes. We simulated our proposed algorithm and MCDFD and on comparison found that the proposed algorithm outperforms the existing MCDFD algorithm in terms of detection accuracy and false positive rate.","PeriodicalId":277436,"journal":{"name":"2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124344713","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 : 2022-12-02DOI: 10.1109/SKIMA57145.2022.10029563
R. Chaisricharoen, P. Temdee, Chayapol Kamyod, S. Wicha, J. Thiriet, H. Yahoui
The presence of Industry 4.0 has altered the requirements of industrial workforces. Previously, the personnel in charge of information systems and plant operations were divided and worked in different concepts and methods. Nevertheless, the convergence of Industry 4.0 has encouraged the development of maintenance workforces capable of both information processing and machine maintenance. In response, an excellence center in Industry 4.0 in as aspect of computer engineering discipline is to be established to support the paradigm change in industry. The Asean Factori 4.0 project, an ERASMUS+ project funded by the European Union, is assisting with the process. The preparation of the excellence center is divided into two parts: the hardware and software definitions, and the staff preparations. The design and delivery of hardware and software is progressed according to the schedule, and the staff are being prepared as intended in the form of seminar and training. The feedback and evaluation strongly state that the audiences and the trainees are well satisfied and educated.
{"title":"Preparation of an Excellence Center in Industry 4.0 based on Computer Engineering Paradigm","authors":"R. Chaisricharoen, P. Temdee, Chayapol Kamyod, S. Wicha, J. Thiriet, H. Yahoui","doi":"10.1109/SKIMA57145.2022.10029563","DOIUrl":"https://doi.org/10.1109/SKIMA57145.2022.10029563","url":null,"abstract":"The presence of Industry 4.0 has altered the requirements of industrial workforces. Previously, the personnel in charge of information systems and plant operations were divided and worked in different concepts and methods. Nevertheless, the convergence of Industry 4.0 has encouraged the development of maintenance workforces capable of both information processing and machine maintenance. In response, an excellence center in Industry 4.0 in as aspect of computer engineering discipline is to be established to support the paradigm change in industry. The Asean Factori 4.0 project, an ERASMUS+ project funded by the European Union, is assisting with the process. The preparation of the excellence center is divided into two parts: the hardware and software definitions, and the staff preparations. The design and delivery of hardware and software is progressed according to the schedule, and the staff are being prepared as intended in the form of seminar and training. The feedback and evaluation strongly state that the audiences and the trainees are well satisfied and educated.","PeriodicalId":277436,"journal":{"name":"2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127883288","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 : 2022-12-02DOI: 10.1109/SKIMA57145.2022.10029457
F. Mahmud, R. Sarker, D. Essam
Solving Resource constrained project scheduling problem (RCPSP) is a significant research topic because of its importance in theory and practice. Over the last few decades, many different approaches have been proposed for solving RCPSPs. Among them, evolutionary computation based approaches are popular. However, these approaches do not perform consistently over all types of problems because the algorithms are usually designed targeting certain type of problems and the choices of algorithmic parameters are difficult. T o address these issues, we propose a multi-operator based Genetic Algorithm (GA) for solving RCPSPs. Here, in selecting the operators, we develop a self-adaptive mechanism that helps to apply the best performing operator with a higher probability. A local search is applied to refine t he solution, a nd a n automatic restart strategy i s used to diversify the population as needed. The performance of the proposed algorithm is evaluated by solving a wide variety of test problems. The experimental results show that the proposed method delivers high-quality solutions on a lower computational budget than the existing algorithms.
{"title":"Multi-Operator based Genetic Algorithm for Resource Constrained Project Scheduling","authors":"F. Mahmud, R. Sarker, D. Essam","doi":"10.1109/SKIMA57145.2022.10029457","DOIUrl":"https://doi.org/10.1109/SKIMA57145.2022.10029457","url":null,"abstract":"Solving Resource constrained project scheduling problem (RCPSP) is a significant research topic because of its importance in theory and practice. Over the last few decades, many different approaches have been proposed for solving RCPSPs. Among them, evolutionary computation based approaches are popular. However, these approaches do not perform consistently over all types of problems because the algorithms are usually designed targeting certain type of problems and the choices of algorithmic parameters are difficult. T o address these issues, we propose a multi-operator based Genetic Algorithm (GA) for solving RCPSPs. Here, in selecting the operators, we develop a self-adaptive mechanism that helps to apply the best performing operator with a higher probability. A local search is applied to refine t he solution, a nd a n automatic restart strategy i s used to diversify the population as needed. The performance of the proposed algorithm is evaluated by solving a wide variety of test problems. The experimental results show that the proposed method delivers high-quality solutions on a lower computational budget than the existing algorithms.","PeriodicalId":277436,"journal":{"name":"2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","volume":"29 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125787218","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 : 2022-12-02DOI: 10.1109/SKIMA57145.2022.10029493
Alamgir Hossain, Daravichet Tin
This paper presents an investigation into the rural digitalization of developing countries, particularly in Cambodia. The research has been stimulated by the UN FAO-funded project of the AsianDHHRA with four developing countries: Cambodia, Vietnam, Indonesia, and the Philippines. The research team in Cambodia collected data in collaboration with CamboDHHRA from many stakeholders, including government agencies, agri-tech business NGOs, farmers, and so forth. Desk research has also been conducted to extract data and knowledge to understand the progress of digital transformation. Both qualitative and quantitative methods were used to analyze these data. The outcomes of the data were presented to a validation workshop of over 30 participants to verify the status. Finally, various observations from the outcomes of data analysis have been presented to demonstrate the challenges and potential of the digital transformation of Cambodia. Moreover, recommendations have been provided to prepare the next phase of the UN plan for digital village transformation.
{"title":"Digital Transformation of Rural Villages in Developing Counties - Case study at Cambodia","authors":"Alamgir Hossain, Daravichet Tin","doi":"10.1109/SKIMA57145.2022.10029493","DOIUrl":"https://doi.org/10.1109/SKIMA57145.2022.10029493","url":null,"abstract":"This paper presents an investigation into the rural digitalization of developing countries, particularly in Cambodia. The research has been stimulated by the UN FAO-funded project of the AsianDHHRA with four developing countries: Cambodia, Vietnam, Indonesia, and the Philippines. The research team in Cambodia collected data in collaboration with CamboDHHRA from many stakeholders, including government agencies, agri-tech business NGOs, farmers, and so forth. Desk research has also been conducted to extract data and knowledge to understand the progress of digital transformation. Both qualitative and quantitative methods were used to analyze these data. The outcomes of the data were presented to a validation workshop of over 30 participants to verify the status. Finally, various observations from the outcomes of data analysis have been presented to demonstrate the challenges and potential of the digital transformation of Cambodia. Moreover, recommendations have been provided to prepare the next phase of the UN plan for digital village transformation.","PeriodicalId":277436,"journal":{"name":"2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131766228","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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