Pub Date : 2022-11-14DOI: 10.1109/ICOCO56118.2022.10031981
Vei Siang Chan, F. Mohamed, Faezah Mohd Salleh, Andrés Iglesias, Alina Wagiran, Ali Selamat
Malaysia is one of the most megadiverse regions in the world. Therefore, it is important to record these rich biodiversity data to safeguard and improve national conservation efforts. However, the lack of nationwide genomic sequencing hampers a more sophisticated species identification, data management, and analytics activities. Thus, this project aims to design and implement MyDNAmark.org, a comprehensive one-stop online DNA reference database with integrated DNA visualisation and digital references to allow the users to search, retrieve and analyse the collected DNA sequencing data interactively. This paper documented the system architecture and implementation methods to create MyDNAmark.org. The results of MyDNAmark.org can display taxonomy information of biodiversity in the web’s user interfaces and visualise the complex set of DNA data to allow new insights. Lastly, the authors identified several future works to improve MyDNAmark.org including improve user interaction, add visualisation methods to support more bioinformatics tasks, and conduct formal user evaluation.
{"title":"MyDNAmark.org: A Comprehensive Genomic Visualisation Database for Malaysian Species","authors":"Vei Siang Chan, F. Mohamed, Faezah Mohd Salleh, Andrés Iglesias, Alina Wagiran, Ali Selamat","doi":"10.1109/ICOCO56118.2022.10031981","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031981","url":null,"abstract":"Malaysia is one of the most megadiverse regions in the world. Therefore, it is important to record these rich biodiversity data to safeguard and improve national conservation efforts. However, the lack of nationwide genomic sequencing hampers a more sophisticated species identification, data management, and analytics activities. Thus, this project aims to design and implement MyDNAmark.org, a comprehensive one-stop online DNA reference database with integrated DNA visualisation and digital references to allow the users to search, retrieve and analyse the collected DNA sequencing data interactively. This paper documented the system architecture and implementation methods to create MyDNAmark.org. The results of MyDNAmark.org can display taxonomy information of biodiversity in the web’s user interfaces and visualise the complex set of DNA data to allow new insights. Lastly, the authors identified several future works to improve MyDNAmark.org including improve user interaction, add visualisation methods to support more bioinformatics tasks, and conduct formal user evaluation.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125816594","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 : 2022-11-14DOI: 10.1109/ICOCO56118.2022.10031977
L. P. Ambrosio, Elaine Cristina de Cassia Silva, G. Aquino, Evandro César Vilas Boas
This work presents an IoT mobile-based application to allow recycling as a service in developing and emerging countries. It comprises a user-friendly mobile application developed using Java through the Android Studio Integrated Development Environment, with the Database Realtime and Google Maps services. The mobile application connects waste pickers interested in collecting waste for recycling purposes with dispensers that produce the waste. Users who want to recycle their waste need to set up its latitude and longitude, select the ideal time for collection, and the amount of garbage. Thus, the application automatically posts the collecting service request on the database. Waste pickers can visualize the location of nearby posted requests through the Google Maps service and book the order at will. The booking guarantees that a unique waste picker will realize the collection since it removes the request from the list. Therefore, this model-based recycling service eliminates the need for hardware-equipped bins for trash disposal, standing as a low-cost solution.
{"title":"Recycling as a Service: A Mobile Application for Circular Economy","authors":"L. P. Ambrosio, Elaine Cristina de Cassia Silva, G. Aquino, Evandro César Vilas Boas","doi":"10.1109/ICOCO56118.2022.10031977","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031977","url":null,"abstract":"This work presents an IoT mobile-based application to allow recycling as a service in developing and emerging countries. It comprises a user-friendly mobile application developed using Java through the Android Studio Integrated Development Environment, with the Database Realtime and Google Maps services. The mobile application connects waste pickers interested in collecting waste for recycling purposes with dispensers that produce the waste. Users who want to recycle their waste need to set up its latitude and longitude, select the ideal time for collection, and the amount of garbage. Thus, the application automatically posts the collecting service request on the database. Waste pickers can visualize the location of nearby posted requests through the Google Maps service and book the order at will. The booking guarantees that a unique waste picker will realize the collection since it removes the request from the list. Therefore, this model-based recycling service eliminates the need for hardware-equipped bins for trash disposal, standing as a low-cost solution.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127674950","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 : 2022-11-14DOI: 10.1109/ICOCO56118.2022.10031863
N. Borhan, H. Zulzalil, Sa’adah Hassan, Norhayati Mohd. Ali
Due to its significance in the creation of software projects, the Agile-Scrum methodology has only lately become well-known in the field of software development. The Scrum technique, which is a process that gradually, iteratively, and continuously provides software based on time boxes, is another study that supports agile practitioners’ recent shift towards this method (sprints). It consists of user stories that are delivered during sprints by a Scrum team made up of team members, a Scrum Master, and a Product Owner. User stories are kept in product backlogs. The integrated needs prioritization methodologies have been created by a small number of scholars. However, the majority of the research is on non-agile software development. The prioritization of both functional and nonfunctional user stories simultaneously during Agile-Scrum Software Development (ASSD) is one of the main gaps that has been ignored by all of these methodologies, according to the literature review conducted by the researchers. The purpose of this study is to outline a research plan for creating an integrated user story prioritizing approach that combines non-functional and functional user stories of the ASSD (i-USPA). The preliminary findings demonstrate the critical importance of understanding the significance of non-functional user stories or requirements during the early stages of software development using the agile methodology, particularly in ASSD, in order to produce high-quality software while staying within budget and time constraints. The data was acquired from a small group of experts or software practitioners who use Agile, particularly the Scrum technique, in their organizations.
{"title":"A Hybrid Prioritization Approach by integrating non-Functional and Functional User Stories in Agile-Scrum Software Development (i-USPA):A preliminary study","authors":"N. Borhan, H. Zulzalil, Sa’adah Hassan, Norhayati Mohd. Ali","doi":"10.1109/ICOCO56118.2022.10031863","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031863","url":null,"abstract":"Due to its significance in the creation of software projects, the Agile-Scrum methodology has only lately become well-known in the field of software development. The Scrum technique, which is a process that gradually, iteratively, and continuously provides software based on time boxes, is another study that supports agile practitioners’ recent shift towards this method (sprints). It consists of user stories that are delivered during sprints by a Scrum team made up of team members, a Scrum Master, and a Product Owner. User stories are kept in product backlogs. The integrated needs prioritization methodologies have been created by a small number of scholars. However, the majority of the research is on non-agile software development. The prioritization of both functional and nonfunctional user stories simultaneously during Agile-Scrum Software Development (ASSD) is one of the main gaps that has been ignored by all of these methodologies, according to the literature review conducted by the researchers. The purpose of this study is to outline a research plan for creating an integrated user story prioritizing approach that combines non-functional and functional user stories of the ASSD (i-USPA). The preliminary findings demonstrate the critical importance of understanding the significance of non-functional user stories or requirements during the early stages of software development using the agile methodology, particularly in ASSD, in order to produce high-quality software while staying within budget and time constraints. The data was acquired from a small group of experts or software practitioners who use Agile, particularly the Scrum technique, in their organizations.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126396155","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 : 2022-11-14DOI: 10.1109/ICOCO56118.2022.10031796
Aznan Mohd, A. Ali, S. A. Halim
This paper present ADHD detection using a machine learning algorithm. ADHD is a prevalent condition affecting many children and adults globally, with the rate of undiagnosed persons increasing tremendously. The prime method to diagnose and confirm ADHD is still clinically driven, requiring specialists in short supply, with the diagnostic process taking months to complete. We utilized a machine learning (ML) algorithm to classify or detect ADHD cases using recorded activity data in the HYPERAKTIV dataset. The selected ML models have been shown to perform at least comparable to the prior studies, with 82% or higher accuracy than the data provider’s 72% accuracy. Additional data processing and augmentation have been demonstrated to increase the performance of the models for a few algorithms. The combination of findings in the paper is hoped to path a way to provide closure to ADHD persons by providing initial classification provided the similar data format based on activity data becomes more accessible through technological advancements such as smartphones and wearable devices.
{"title":"Detecting ADHD Subjects Using Machine Learning Algorithm","authors":"Aznan Mohd, A. Ali, S. A. Halim","doi":"10.1109/ICOCO56118.2022.10031796","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031796","url":null,"abstract":"This paper present ADHD detection using a machine learning algorithm. ADHD is a prevalent condition affecting many children and adults globally, with the rate of undiagnosed persons increasing tremendously. The prime method to diagnose and confirm ADHD is still clinically driven, requiring specialists in short supply, with the diagnostic process taking months to complete. We utilized a machine learning (ML) algorithm to classify or detect ADHD cases using recorded activity data in the HYPERAKTIV dataset. The selected ML models have been shown to perform at least comparable to the prior studies, with 82% or higher accuracy than the data provider’s 72% accuracy. Additional data processing and augmentation have been demonstrated to increase the performance of the models for a few algorithms. The combination of findings in the paper is hoped to path a way to provide closure to ADHD persons by providing initial classification provided the similar data format based on activity data becomes more accessible through technological advancements such as smartphones and wearable devices.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133257080","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 : 2022-11-14DOI: 10.1109/ICOCO56118.2022.10031894
Husain Salman, Eman Almohsen
This paper aims to investigate the success levels of e-government services in Bahrain based on the DeLone and McLean IS Success model, which includes three independent quality constructs, system, information, and service, and three dependent variables that include use, user satisfaction, and net benefits. The proposed model also examines computer literacy and internet literacy as two additional constructs. The suggested modified model was investigated using structural equation modeling and machine learning algorithms. Results indicate satisfactory levels of two quality constructs, system, and information, both of which were found to affect the use and user satisfaction constructs significantly. However, users were not satisfied with the service quality of the e-government portal, which indicates a negative perspective on this quality construct. The outcomes of this study can help the e-government stakeholders in Bahrain further to improve the e-government services portal to the public and tackle problematic quality indicators.
{"title":"Using a Hybrid Machine Learning and SEM Approach to Measure the Success of e-Government: A Case Study of the Kingdom of Bahrain","authors":"Husain Salman, Eman Almohsen","doi":"10.1109/ICOCO56118.2022.10031894","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031894","url":null,"abstract":"This paper aims to investigate the success levels of e-government services in Bahrain based on the DeLone and McLean IS Success model, which includes three independent quality constructs, system, information, and service, and three dependent variables that include use, user satisfaction, and net benefits. The proposed model also examines computer literacy and internet literacy as two additional constructs. The suggested modified model was investigated using structural equation modeling and machine learning algorithms. Results indicate satisfactory levels of two quality constructs, system, and information, both of which were found to affect the use and user satisfaction constructs significantly. However, users were not satisfied with the service quality of the e-government portal, which indicates a negative perspective on this quality construct. The outcomes of this study can help the e-government stakeholders in Bahrain further to improve the e-government services portal to the public and tackle problematic quality indicators.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126538635","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 : 2022-11-14DOI: 10.1109/ICOCO56118.2022.10031923
Essohanam Djeki, Jules R. Dégila, M. Alhassan, Carlyna Bondiombouy
COVID-19 has affected human life since its advent. And to counteract its spread, humankind adopts social distancing, which encourages remote working for employees, and online learning for students. Many universities and schools quickly adopted e-learning solutions without much consideration of security, while it is important to consider users’ privacy. Unfortunately, digital learning spaces face security vulnerabilities, risks and threats and are not spared from cyber-attacks. To ensure the security and privacy of e-learning solutions used by universities and schools, we analyzed how MOOCs and Organizations offering online courses long before COVID-19 deal with their users’ privacy and personal data. In this study, we considered some popular platforms from The United States (Coursera, EdX, Udemy), Europe and the United Kingdom (FutureLearn, FUN MOOC, EduOpen), and Asia (XuetangX, SWAYAM, and K-MOOC). We discussed the personal data collected by these platforms, the purposes for which these data are collected, the different legislation for processing and storing data, and how the platforms ensure user privacy.
COVID-19自出现以来，一直影响着人类的生活。为了遏制其传播，人类采取了社交距离，鼓励员工远程工作，鼓励学生在线学习。许多大学和学校在没有考虑安全性的情况下迅速采用了电子学习解决方案，而考虑用户的隐私是很重要的。不幸的是，数字学习空间面临安全漏洞、风险和威胁，也无法幸免于网络攻击。为了确保大学和学校使用的电子学习解决方案的安全性和隐私性，我们分析了早在COVID-19之前提供在线课程的mooc和组织如何处理用户的隐私和个人数据。在这项研究中，我们考虑了来自美国(Coursera, EdX, Udemy)，欧洲和英国(FutureLearn, FUN MOOC, EduOpen)以及亚洲(XuetangX, SWAYAM和K-MOOC)的一些流行平台。我们讨论了这些平台收集的个人数据、收集这些数据的目的、处理和存储数据的不同立法，以及平台如何确保用户隐私。
{"title":"Analyzing Learners’ Privacy in MOOC and Online Learning Platform","authors":"Essohanam Djeki, Jules R. Dégila, M. Alhassan, Carlyna Bondiombouy","doi":"10.1109/ICOCO56118.2022.10031923","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031923","url":null,"abstract":"COVID-19 has affected human life since its advent. And to counteract its spread, humankind adopts social distancing, which encourages remote working for employees, and online learning for students. Many universities and schools quickly adopted e-learning solutions without much consideration of security, while it is important to consider users’ privacy. Unfortunately, digital learning spaces face security vulnerabilities, risks and threats and are not spared from cyber-attacks. To ensure the security and privacy of e-learning solutions used by universities and schools, we analyzed how MOOCs and Organizations offering online courses long before COVID-19 deal with their users’ privacy and personal data. In this study, we considered some popular platforms from The United States (Coursera, EdX, Udemy), Europe and the United Kingdom (FutureLearn, FUN MOOC, EduOpen), and Asia (XuetangX, SWAYAM, and K-MOOC). We discussed the personal data collected by these platforms, the purposes for which these data are collected, the different legislation for processing and storing data, and how the platforms ensure user privacy.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125197780","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 : 2022-11-14DOI: 10.1109/ICOCO56118.2022.10031715
Zuriani Hayati Abdullah, Jamaiah Yahaya, Zulkefli Mansor, A. Deraman
Software ageing is an unavoidable phenomenon that can occur with every software product. Software that is unable to evolve and meet current needs will have a limited ability to provide ongoing functionality and relevance. Software performance and quality will degrade when these happen, known as the software ageing phenomena. Even though we cannot escape ageing in software products, it can be delayed and slowed down by understanding which factors contribute to ageing. Software ageing factors can be classified into two categories which are external and internal factors. This study focuses on external factors of software ageing related to or derived from the existing software quality model. Our experience conducting research in software quality and certification motivates us to develop a software ageing assessment and indexing model from the dimension of software quality. This paper presents the background and related issues on software ageing and quality and focuses further on the conceptual model of software ageing.
{"title":"Software Ageing Assessment and Indexing Model Based on Software Quality Dimension: The Conceptual Model","authors":"Zuriani Hayati Abdullah, Jamaiah Yahaya, Zulkefli Mansor, A. Deraman","doi":"10.1109/ICOCO56118.2022.10031715","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031715","url":null,"abstract":"Software ageing is an unavoidable phenomenon that can occur with every software product. Software that is unable to evolve and meet current needs will have a limited ability to provide ongoing functionality and relevance. Software performance and quality will degrade when these happen, known as the software ageing phenomena. Even though we cannot escape ageing in software products, it can be delayed and slowed down by understanding which factors contribute to ageing. Software ageing factors can be classified into two categories which are external and internal factors. This study focuses on external factors of software ageing related to or derived from the existing software quality model. Our experience conducting research in software quality and certification motivates us to develop a software ageing assessment and indexing model from the dimension of software quality. This paper presents the background and related issues on software ageing and quality and focuses further on the conceptual model of software ageing.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116583067","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 : 2022-11-14DOI: 10.1109/ICOCO56118.2022.10031691
N. M. Noor, Shapina Abdullah, Z. Kasiran, Nor Azimah Khalid, Nurul Huda Sallehuddin
This paper presents an IoT-based heart monitoring system using 8266 NodeMCU. According to the Malaysian Department of Statistics, ischemic heart disease is the leading cause of death, accounting for 15.0% of the 109,164 medically certified deaths in 2019. The coronary heart is a vital organ that pumps oxygen and blood across the body. Meanwhile, if the heart is not getting sufficient oxygen, the patient will experience chest pain, typically on the left side of the body, which can be mistaken for a heart problem. During the Covid-19 pandemic, a patient cannot attend regular treatment at the hospital as it is operating at full capacity. During this phase, the hospital can only focus on the critical and high-risk patient. The proposed heart monitoring system monitors the patient by measuring the heart rate and oxygen level in the comforts of home. Therefore, the patient can provide his current health record for the doctor’s evaluation. The idea behind this proposed system is to construct an IOT-based system that automatically monitors the health condition in terms of heartbeat and oxygen detection. The prototype provides data to the Blynk for the patient and the I-Heart web-based application for the medical practitioner.
{"title":"IoT-Based Heart Monitoring System Implementation and Analysis","authors":"N. M. Noor, Shapina Abdullah, Z. Kasiran, Nor Azimah Khalid, Nurul Huda Sallehuddin","doi":"10.1109/ICOCO56118.2022.10031691","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031691","url":null,"abstract":"This paper presents an IoT-based heart monitoring system using 8266 NodeMCU. According to the Malaysian Department of Statistics, ischemic heart disease is the leading cause of death, accounting for 15.0% of the 109,164 medically certified deaths in 2019. The coronary heart is a vital organ that pumps oxygen and blood across the body. Meanwhile, if the heart is not getting sufficient oxygen, the patient will experience chest pain, typically on the left side of the body, which can be mistaken for a heart problem. During the Covid-19 pandemic, a patient cannot attend regular treatment at the hospital as it is operating at full capacity. During this phase, the hospital can only focus on the critical and high-risk patient. The proposed heart monitoring system monitors the patient by measuring the heart rate and oxygen level in the comforts of home. Therefore, the patient can provide his current health record for the doctor’s evaluation. The idea behind this proposed system is to construct an IOT-based system that automatically monitors the health condition in terms of heartbeat and oxygen detection. The prototype provides data to the Blynk for the patient and the I-Heart web-based application for the medical practitioner.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121939220","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 : 2022-11-14DOI: 10.1109/ICOCO56118.2022.10031761
Mubdiul Hossain, W. M. Isa, Aziah Ali, W. Zaki, N. Hashim, A. Hussain
Medical professionals widely perform retinal blood vessel analysis from fundus images to detect and diagnose various ocular and systemic diseases. Many studies have proposed methods for automatic blood vessel extraction from fundus images which are mostly desktop-based implementations for analysing images from table-top fundus cameras. In resource-limited settings such as clinics in rural or remote areas, desktop fundus cameras are rarely available and workstations for automatic retinal analysis can be difficult to obtain and set up. In these recent years, handheld fundus cameras have been developed to offer a mobile solution for retinal screening at a cheaper cost. However, research on mobile processing for retinal analysis of these handheld fundus images is still limited. We propose an optimized retinal blood vessel segmentation method for an Android-based smartphone platform using the Bar-Combination of Shifted Filter Response (B-COSFIRE) filter. Since there is no public database for handheld fundus images to date, the developed mobile retinal blood vessel segmentation application was evaluated using two publicly available table-top fundus images databases, DRIVE and STARE, with achieved segmentation accuracy of 94.87% and 95.96% respectively. The results showed that the method not only achieved comparable performance to published methods but is also faster, making it a possible cost-effective and efficient option for retinal diagnosis in rural areas.
{"title":"Optimized Smartphone-based Implementation of B-COSFIRE Filter for Retinal Blood Vessel Segmentation","authors":"Mubdiul Hossain, W. M. Isa, Aziah Ali, W. Zaki, N. Hashim, A. Hussain","doi":"10.1109/ICOCO56118.2022.10031761","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031761","url":null,"abstract":"Medical professionals widely perform retinal blood vessel analysis from fundus images to detect and diagnose various ocular and systemic diseases. Many studies have proposed methods for automatic blood vessel extraction from fundus images which are mostly desktop-based implementations for analysing images from table-top fundus cameras. In resource-limited settings such as clinics in rural or remote areas, desktop fundus cameras are rarely available and workstations for automatic retinal analysis can be difficult to obtain and set up. In these recent years, handheld fundus cameras have been developed to offer a mobile solution for retinal screening at a cheaper cost. However, research on mobile processing for retinal analysis of these handheld fundus images is still limited. We propose an optimized retinal blood vessel segmentation method for an Android-based smartphone platform using the Bar-Combination of Shifted Filter Response (B-COSFIRE) filter. Since there is no public database for handheld fundus images to date, the developed mobile retinal blood vessel segmentation application was evaluated using two publicly available table-top fundus images databases, DRIVE and STARE, with achieved segmentation accuracy of 94.87% and 95.96% respectively. The results showed that the method not only achieved comparable performance to published methods but is also faster, making it a possible cost-effective and efficient option for retinal diagnosis in rural areas.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127373912","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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