Pub Date : 2022-12-02DOI: 10.1109/SKIMA57145.2022.10029485
Manith Chou, Kosorl Thourn, Rothvichea Chea
Non-intrusive Load Monitoring is a system that is able to monitor energy consumption and provide a detailed energy breakdown to the end consumer. This paper deals with one cycle of steady-state voltage and current used to construct a voltage-current (V-I) trajectory. After retrieving one cycle signals of voltage and current, the Fourier phase correction technique is applied on them to avoid low accuracy or mismatch in classification d ue to the starting point selection of one period signal. Then, Triangle Area Representation (TAR) at different side lengths is introduced to describe the V-I trajectory of each electrical load appliance. Due to the very high dimensional subspace of TAR signature, it is then beneficial to use principal component analysis for creating a low-dimensional space feature. Finally, the weighted k-Nearest neighbor is employed to classify each type of appliance according to the k-Nearest number. Plug-Load Appliance Identification Dataset is applied in the assessment of the proposed algorithm which shows good performance with high accuracy of 97.43%.
{"title":"Multi-Scale Electrical Appliance Load Signature for Non-Intrusive Load Monitoring Classification","authors":"Manith Chou, Kosorl Thourn, Rothvichea Chea","doi":"10.1109/SKIMA57145.2022.10029485","DOIUrl":"https://doi.org/10.1109/SKIMA57145.2022.10029485","url":null,"abstract":"Non-intrusive Load Monitoring is a system that is able to monitor energy consumption and provide a detailed energy breakdown to the end consumer. This paper deals with one cycle of steady-state voltage and current used to construct a voltage-current (V-I) trajectory. After retrieving one cycle signals of voltage and current, the Fourier phase correction technique is applied on them to avoid low accuracy or mismatch in classification d ue to the starting point selection of one period signal. Then, Triangle Area Representation (TAR) at different side lengths is introduced to describe the V-I trajectory of each electrical load appliance. Due to the very high dimensional subspace of TAR signature, it is then beneficial to use principal component analysis for creating a low-dimensional space feature. Finally, the weighted k-Nearest neighbor is employed to classify each type of appliance according to the k-Nearest number. Plug-Load Appliance Identification Dataset is applied in the assessment of the proposed algorithm which shows good performance with high accuracy of 97.43%.","PeriodicalId":277436,"journal":{"name":"2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","volume":"11 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":"121281830","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/skima57145.2022.10029454
{"title":"14th International Conference on Software, Knowledge, Information Management and Applications","authors":"","doi":"10.1109/skima57145.2022.10029454","DOIUrl":"https://doi.org/10.1109/skima57145.2022.10029454","url":null,"abstract":"","PeriodicalId":277436,"journal":{"name":"2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","volume":"1 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":"125864363","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}
This article is dedicated to the practical lab integrating of database management lesson or MySQL course to the University of Health Sciences students. This article is the continuing tasks in our previous work on integrating database management into computer course and also being as report. The article deals with the problem of IT tool in education of medical field and also for the healthcare professional. The trainings have been made for general information, database knowledge survey as well as installation of MySQL software for the practical lab of lecturer, student, and medical staff. The practical lab and MySQL software will demonstrate and improve students, trainee's awareness and understanding of the future profession.
{"title":"Education Technology: Center of Excellent for Integration MySQL course to University of Health Sciences Students","authors":"Lattanavong Thammabanvong, Hamed Yaoui, Virasack Rajpho, Daovy Sinthavong, Molina Choummanivong","doi":"10.1109/skima57145.2022.10029484","DOIUrl":"https://doi.org/10.1109/skima57145.2022.10029484","url":null,"abstract":"This article is dedicated to the practical lab integrating of database management lesson or MySQL course to the University of Health Sciences students. This article is the continuing tasks in our previous work on integrating database management into computer course and also being as report. The article deals with the problem of IT tool in education of medical field and also for the healthcare professional. The trainings have been made for general information, database knowledge survey as well as installation of MySQL software for the practical lab of lecturer, student, and medical staff. The practical lab and MySQL software will demonstrate and improve students, trainee's awareness and understanding of the future profession.","PeriodicalId":277436,"journal":{"name":"2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","volume":"42 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":"125397649","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/SKIMA57145.2022.10029400
M. Hasan, Pamela Knight, Marzia Hoque Tania, Abu Kowshir Bitto, Aka Das, Hitesh Punja
Ageing is a natural and unavoidable process that all humans go through, and it is marked by a series of typical physical, psychological, and social changes. Increasing social isolation and loneliness are severe yet underappreciated public health risks, affecting people of all ages and backgrounds. Therefore, we propose to co-design a novel Television Enable Application (TEA) for healthy ageing in this study. Our co- designed AI-based television-enabled application (TEA) can adapt to home television, which is universally helpful in enabling older people and others to connect with befriending services. In this paper, we have completed an extensive literature review and propose a framework for co-designing the application with older people. We adopt an agile approach to developing TEA with iterations, inception, and elaboration, of the prototype. Additionally, a co-creation methodology and a quantitative evaluation of social isolation and loneliness will be used to improve the prototype between the inception and elaboration phases and assess the impact of TEA on social isolation and loneliness. To evaluate the effectiveness of befriending and of TEA versus traditional befriending, we propose a series of mixed two (group: traditional versus TEA) x 2(time: baseline and follow-up) ANOVAs tests will be considered for each questionnaire measure to assess if there are any statistically significant changes in scores over time, and between groups with alpha level 0.05. The developed TEA will be capable of addressing loneliness and isolation by connecting ageing people. TEA will also provide older people with a feature to communicate with care services.
衰老是所有人类都要经历的一个自然的、不可避免的过程，它以一系列典型的生理、心理和社会变化为标志。日益加剧的社会孤立和孤独是严重的公共卫生风险，但未得到充分重视，影响到所有年龄和背景的人。因此，我们建议在本研究中共同设计一种新的电视使能应用程序(TEA)。我们共同设计的基于人工智能的电视启用应用程序(TEA)可以适应家庭电视，这对于使老年人和其他人与友好服务联系非常有帮助。在本文中，我们完成了广泛的文献综述，并提出了一个与老年人共同设计应用程序的框架。我们采用敏捷的方法来开发TEA，包括原型的迭代、初始化和精化。此外，将采用共同创造方法和对社会孤立和孤独进行定量评估，以改进在初始阶段和详细阶段之间的原型，并评估TEA对社会孤立和孤独的影响。为了评估友谊以及TEA与传统友谊的有效性，我们提出了一系列混合两(组:传统与TEA) x 2(时间:基线和随访)方差分析，将考虑每个问卷测量值，以评估分数随时间的变化是否有统计学意义，以及组间α水平为0.05。发达的TEA将能够通过连接老年人来解决孤独和孤立问题。TEA还将为老年人提供与护理服务沟通的功能。
{"title":"A Novel Framework for Co-designing of An Artificial Intelligence Based Television-enabled Application to Address Social Isolation and Alleviating Loneliness for Older People","authors":"M. Hasan, Pamela Knight, Marzia Hoque Tania, Abu Kowshir Bitto, Aka Das, Hitesh Punja","doi":"10.1109/SKIMA57145.2022.10029400","DOIUrl":"https://doi.org/10.1109/SKIMA57145.2022.10029400","url":null,"abstract":"Ageing is a natural and unavoidable process that all humans go through, and it is marked by a series of typical physical, psychological, and social changes. Increasing social isolation and loneliness are severe yet underappreciated public health risks, affecting people of all ages and backgrounds. Therefore, we propose to co-design a novel Television Enable Application (TEA) for healthy ageing in this study. Our co- designed AI-based television-enabled application (TEA) can adapt to home television, which is universally helpful in enabling older people and others to connect with befriending services. In this paper, we have completed an extensive literature review and propose a framework for co-designing the application with older people. We adopt an agile approach to developing TEA with iterations, inception, and elaboration, of the prototype. Additionally, a co-creation methodology and a quantitative evaluation of social isolation and loneliness will be used to improve the prototype between the inception and elaboration phases and assess the impact of TEA on social isolation and loneliness. To evaluate the effectiveness of befriending and of TEA versus traditional befriending, we propose a series of mixed two (group: traditional versus TEA) x 2(time: baseline and follow-up) ANOVAs tests will be considered for each questionnaire measure to assess if there are any statistically significant changes in scores over time, and between groups with alpha level 0.05. The developed TEA will be capable of addressing loneliness and isolation by connecting ageing people. TEA will also provide older people with a feature to communicate with care services.","PeriodicalId":277436,"journal":{"name":"2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","volume":"58 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":"115096769","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/SKIMA57145.2022.10029439
H. Ugail, Howell Edwards, Timothy J. Benoy, Christopher Brooke
Convolutional neural network (CNN) based deep learning has recently become the standard de facto for computer assisted image analysis and classification. In this work, we use an in-house trained deep face recognition model to extract facial features from images of old portraits to compare their degree of similarity. Taking the well-known Visual Geometry Group (VGG) deep learning model as the basis, our in-house trained model is fine-tuned for enhanced facial similarity analysis, providing particular attention to the effects from prominent parts of the face, such as the eyes, nose and mouth features. We show how this model can be efficiently utilised to evaluate faces present in age-old master portraits. More specifically, we undertake facial similarity analysis of the faces in the oil paintings of Madonna and Child of de Brécy Tondo and Sistine Madonna by Raphael, of which the former has been the subject of national and international research for nearly 40 years.
{"title":"Deep Facial Features for Analysing Artistic Depictions - A Case Study in Evaluating 16th and 17th Century Old Master Portraits","authors":"H. Ugail, Howell Edwards, Timothy J. Benoy, Christopher Brooke","doi":"10.1109/SKIMA57145.2022.10029439","DOIUrl":"https://doi.org/10.1109/SKIMA57145.2022.10029439","url":null,"abstract":"Convolutional neural network (CNN) based deep learning has recently become the standard de facto for computer assisted image analysis and classification. In this work, we use an in-house trained deep face recognition model to extract facial features from images of old portraits to compare their degree of similarity. Taking the well-known Visual Geometry Group (VGG) deep learning model as the basis, our in-house trained model is fine-tuned for enhanced facial similarity analysis, providing particular attention to the effects from prominent parts of the face, such as the eyes, nose and mouth features. We show how this model can be efficiently utilised to evaluate faces present in age-old master portraits. More specifically, we undertake facial similarity analysis of the faces in the oil paintings of Madonna and Child of de Brécy Tondo and Sistine Madonna by Raphael, of which the former has been the subject of national and international research for nearly 40 years.","PeriodicalId":277436,"journal":{"name":"2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","volume":"1 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":"130508128","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/SKIMA57145.2022.10029415
Nazia Hameed, M. Hassan, M. A. Hossain
Fishes account for approximately 15% of the animal protein intake of the human population globally and is the main source of income for some developing countries like Cambodia. Fish is a traditional staple in the Cambodian diet and vital to nutrition and food security. Due to a lack of human resources with expertise in research into detecting fish diseases, breeding, and raising technologies, most farmers are struggling to increase the productivity of fish. In this research work, an intelligent classification framework is proposed for increasing the productivity of fish farmers by providing them with a facility to detect fish diseases along with analyzing the water quality. To understand the problems faced by the local farmers, the research team visited the six fisheries farms in the Takeo Province and collected the requirements. After the identification of the key challenges, a general framework is proposed for the early detection of fish diseases. The proposed framework will help the local farmers to educate them about the fish diseases and help them to improve the fish productivity.
{"title":"An Explainable Real-time Decision Support System for Identifying Fish Diseases and Analysing Water Quality","authors":"Nazia Hameed, M. Hassan, M. A. Hossain","doi":"10.1109/SKIMA57145.2022.10029415","DOIUrl":"https://doi.org/10.1109/SKIMA57145.2022.10029415","url":null,"abstract":"Fishes account for approximately 15% of the animal protein intake of the human population globally and is the main source of income for some developing countries like Cambodia. Fish is a traditional staple in the Cambodian diet and vital to nutrition and food security. Due to a lack of human resources with expertise in research into detecting fish diseases, breeding, and raising technologies, most farmers are struggling to increase the productivity of fish. In this research work, an intelligent classification framework is proposed for increasing the productivity of fish farmers by providing them with a facility to detect fish diseases along with analyzing the water quality. To understand the problems faced by the local farmers, the research team visited the six fisheries farms in the Takeo Province and collected the requirements. After the identification of the key challenges, a general framework is proposed for the early detection of fish diseases. The proposed framework will help the local farmers to educate them about the fish diseases and help them to improve the fish productivity.","PeriodicalId":277436,"journal":{"name":"2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","volume":"73 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":"121711879","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/SKIMA57145.2022.10029464
Fidero Kuok, Angkeara Bong, M. Promentilla
Strategic foresight allows the organization to adapt and cope with the challenges of the next decade and beyond by revealing internal mental models, encouraging reflection and understanding complexity further on the boundaries of organizational knowledge. This paper thus demonstrates a novel method to facilitate collaborative planning using long-range foresight for an organization. Using the Delphi technique, the proposed method involves the identification of key products, periods of products realization, products dependency and ranking, and the formation of a portfolio of long-horizon strategic action plans that are perceived as achievable within the time horizon of 2030. The prioritization of these actions is then investigated using an integrated Decision Making Trial and Evaluation Laboratory (DEMATEL)-Analytic Network Process (ANP) approach.
{"title":"Evaluating Organization's Portfolio of Long-horizon Strategic Action Plans: An Integrated Delphi-DEMATEL-ANP Approach","authors":"Fidero Kuok, Angkeara Bong, M. Promentilla","doi":"10.1109/SKIMA57145.2022.10029464","DOIUrl":"https://doi.org/10.1109/SKIMA57145.2022.10029464","url":null,"abstract":"Strategic foresight allows the organization to adapt and cope with the challenges of the next decade and beyond by revealing internal mental models, encouraging reflection and understanding complexity further on the boundaries of organizational knowledge. This paper thus demonstrates a novel method to facilitate collaborative planning using long-range foresight for an organization. Using the Delphi technique, the proposed method involves the identification of key products, periods of products realization, products dependency and ranking, and the formation of a portfolio of long-horizon strategic action plans that are perceived as achievable within the time horizon of 2030. The prioritization of these actions is then investigated using an integrated Decision Making Trial and Evaluation Laboratory (DEMATEL)-Analytic Network Process (ANP) approach.","PeriodicalId":277436,"journal":{"name":"2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","volume":"39 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":"128073517","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/SKIMA57145.2022.10029510
Subhadra Joshi, Santosh Khanal, Rabindra Bista
Gait analysis is a way of analyzing the subjects' walking pattern which has been discovered as an indicator for the identification of symptoms of the disease after among all the other clinical parameters. Gait disorder having no apparent reason is associated with cardiovascular disease and gait imbalance is the major factor for fall and fall related accidents. This study puts an effort to perform quantitative measurements of spatiotemporal gait parameters for the patients of cardiovascular disease using wearable sensor and explores the clinical symptoms from gait pattern. The research is carried out on 16 Healthy controls and 53 Cardiovascular patients. The result of the analysis presented that the gait parameters of the patients are greatly varied than that of Healthy Controls (HCs) which may serve as early indication of the symptoms of cardiovascular disease. This is a new idea in analyzing walking pattern of population suffering from different disease with different age-group and sex based on the various case studies in the same domain.
{"title":"Spatiotemporal Gait Analysis for Cardiovascular Disease","authors":"Subhadra Joshi, Santosh Khanal, Rabindra Bista","doi":"10.1109/SKIMA57145.2022.10029510","DOIUrl":"https://doi.org/10.1109/SKIMA57145.2022.10029510","url":null,"abstract":"Gait analysis is a way of analyzing the subjects' walking pattern which has been discovered as an indicator for the identification of symptoms of the disease after among all the other clinical parameters. Gait disorder having no apparent reason is associated with cardiovascular disease and gait imbalance is the major factor for fall and fall related accidents. This study puts an effort to perform quantitative measurements of spatiotemporal gait parameters for the patients of cardiovascular disease using wearable sensor and explores the clinical symptoms from gait pattern. The research is carried out on 16 Healthy controls and 53 Cardiovascular patients. The result of the analysis presented that the gait parameters of the patients are greatly varied than that of Healthy Controls (HCs) which may serve as early indication of the symptoms of cardiovascular disease. This is a new idea in analyzing walking pattern of population suffering from different disease with different age-group and sex based on the various case studies in the same domain.","PeriodicalId":277436,"journal":{"name":"2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","volume":"155 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":"127424065","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/SKIMA57145.2022.10029404
Vibol Yem, Tsubasa Morita, Y. Ikei
In this study, we modified a wheelchair by attaching two direct current motors to drive each wheel and provide whole-body vibration and vestibular sensation. This motion simulator can be used to enhance the vehicle riding experience in immersive virtual reality or telepresence. We examined herein the effectiveness of the translational motion feedback from the vestibular wheelchair when presenting recorded images with spatial motion from the stereoscopic cameras on the head-mounted display (HMD). The results of the intensity comparison with the magnitude estimation method showed that the perception of vestibular acceleration by the wheelchair was stronger than that of visually presented acceleration in the HMD. Moreover, approximately 25% intensity of the visual acceleration is appropriate for suppressing virtual reality sickness. The questionnaire results revealed that adding vestibular acceleration to the visual acceleration increases the sense of presence, regardless of the vestibular sensation intensity.
{"title":"Vibro-vestibular Wheelchair for Vehicle Riding Experience in Immersive Virtual Reality","authors":"Vibol Yem, Tsubasa Morita, Y. Ikei","doi":"10.1109/SKIMA57145.2022.10029404","DOIUrl":"https://doi.org/10.1109/SKIMA57145.2022.10029404","url":null,"abstract":"In this study, we modified a wheelchair by attaching two direct current motors to drive each wheel and provide whole-body vibration and vestibular sensation. This motion simulator can be used to enhance the vehicle riding experience in immersive virtual reality or telepresence. We examined herein the effectiveness of the translational motion feedback from the vestibular wheelchair when presenting recorded images with spatial motion from the stereoscopic cameras on the head-mounted display (HMD). The results of the intensity comparison with the magnitude estimation method showed that the perception of vestibular acceleration by the wheelchair was stronger than that of visually presented acceleration in the HMD. Moreover, approximately 25% intensity of the visual acceleration is appropriate for suppressing virtual reality sickness. The questionnaire results revealed that adding vestibular acceleration to the visual acceleration increases the sense of presence, regardless of the vestibular sensation intensity.","PeriodicalId":277436,"journal":{"name":"2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","volume":"1 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":"117064430","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}
This paper presents an investigation into the challenges of cybersecurity readiness in developing countries, particularly for the different age groups of populations in Cambodia. This includes a case study through a survey to demonstrate the potential risk in Cambodia as one of the developing countries. We designed the survey questionnaire considering the theme of - what are the key issues that demonstrate users are the weakest link to cybercriminals. The questionnaire covers personal digital readiness issues related to passwords, phishing, malware, backups, security control of PCs, etc. A wide range of participants from three different age groups demonstrated their understanding of cybersecurity awareness through this survey. The data collected through this survey were analyzed and presented to demonstrate the potential risks of using digital technology in the community in developing countries. It is noted that among various challenges, many users have weaknesses in considering strong and multiple passwords, which is the most important cybersecurity concern for authentication. Finally, the research outcomes provided a recommendation for developing countries, including the demand for personalized learning platforms.
{"title":"Cybersecurity Readiness in Developing Countries:: A Survey to Demonstrate Potential Risks of the Cambodians","authors":"Md. Alamgir Hossain, Daravichet Tin, Pharino Chum, Tomeng Taing, Siriwat Chhem","doi":"10.1109/SKIMA57145.2022.10029467","DOIUrl":"https://doi.org/10.1109/SKIMA57145.2022.10029467","url":null,"abstract":"This paper presents an investigation into the challenges of cybersecurity readiness in developing countries, particularly for the different age groups of populations in Cambodia. This includes a case study through a survey to demonstrate the potential risk in Cambodia as one of the developing countries. We designed the survey questionnaire considering the theme of - what are the key issues that demonstrate users are the weakest link to cybercriminals. The questionnaire covers personal digital readiness issues related to passwords, phishing, malware, backups, security control of PCs, etc. A wide range of participants from three different age groups demonstrated their understanding of cybersecurity awareness through this survey. The data collected through this survey were analyzed and presented to demonstrate the potential risks of using digital technology in the community in developing countries. It is noted that among various challenges, many users have weaknesses in considering strong and multiple passwords, which is the most important cybersecurity concern for authentication. Finally, the research outcomes provided a recommendation for developing countries, including the demand for personalized learning platforms.","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":"124111667","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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