33 10 1981 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kanaker, Hasan Abdel Karim, Nader A.B. Awwad, Samer H.A. Ismail, Nurul Zraqou, Jamal M. F. Al ali, Abdulla Date A point or period of time associated with an event in the lifecycle of the resource 2022-12-20 Description An account of the resource Cloud computing technology is known as a distributed computing network, which consists of a large number of servers connected via the internet. This technology involves many worthwhile resources, such as applications, services, and large database storage. Users have the ability to access cloud services and resources through web services. Cloud computing provides a considerable number of benefits, such as effective virtualized resources, cost efficiency, self-service access, flexibility, and scalability. However, many security issues are present in cloud computing environment. One of the most common security challenges in the cloud computing environment is the trojan horses. Trojan horses can disrupt cloud computing services and damage the resources, applications, or virtual machines in the cloud structure. Trojan horse attacks are dangerous, complicated and very difficult to be detected. In this research, eight machine learning classifiers for trojan horse detection in a cloud-based environment have been investigated. The accuracy of the cloud trojan horses detection rate has been investigated using dynamic analysis, Cukoo sandbox, and the Weka data mining tool. Based on the conducted experiments, the SMO and Multilayer Perceptron have been found to be the best classifiers for trojan horse detection in a cloud-based environment. Although SMO and Multilayer Perceptron have achieved the highest accuracy rate of 95.86%, Multilayer Perceptron has outperformed SMO in term of Receiver Operating Characteristic (ROC) area. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/35763 10.3991/ijim.v16i24.35763 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/35763/12457 Rights Information about rights held in and over the resource Copyright (c) 2022 Dr. Hasan Kanaker, Dr.Nader Salameh , Dr.Samer A. B. Awwad , Dr. Nurul H.A. Ismail , Dr. Jamal Zraqou , Dr. Abdulla M. F. Al Ali https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 24 (2022); pp. 81-106 1865-7923 Subject The topic of the resource Cloud computing trojan Horse attacks dynamic Analysis detection machine learning Title A name given to the resource Trojan Horse Infection Detection in Cloud Based Environment Using Machine Learning Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ariani, Dessy Noor Sumantri, Mohamad Syarif Wibowo, Firmanul Catur Date A point or period of time associated with an event in the lifecycle of the resource 2022-12-20 Description An account of the resource This research uses the Android module based on a strategy called "inquiry-based learning" and "flipped classroom" to help people utilize their cross-disciplinary skills in complex real-world situations. This experiment showed how the Android module-based inquiry flipped classroom learning affects math pre-service teachers' ability to solve mathematical problems and think creatively in geometry. In the third term, 123 students were randomly assigned Android module-based inquiry flipped classroom learning, PowerPoint module-based conventional flipped learning, or conventional learning. The study found that math pre-service teachers were much better at solving mathematics problems and creative thinking when using Android module-based inquiry flipped classroom learning because its use effectively extends learning time, permits the acquisition of more knowledge, and encourages a collective responsibility for learning in order to engage in the process of deeper learning. This type of learning also helps them learn how to deal with real-world problems that they may face in their future jobs. This implication can guide instructional designers on how to help students solve math problems and think creatively. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/35749 10.3991/ijim.v16i24.35749 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/35749/12451 Rights Information about rights held in and over the resource Copyright (c) 2022 Dessy Noor Ariani, Mohamad Syarif Sumantri, Firmanul Catur Wibowo https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 24 (2022); pp. 32-46 1865-7923 Subject The topic of the resource Android module inquiry flipped classroom learning mathematics problem solving mathematics creative thinking Title A name given to the resource The Impact of Android Module-Based Inquiry Flipped Classroom Learning on Mathematics Problem Solving and Creative Thinking Ability Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Mahmood, Ibrahim Nasir Abuzaraida, Mustafa Ali Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-10 Description An account of the resource E-learning became the main medium of education in the world for the past two years. COVID-19 virus has pushed all the universities and academic institutions to utilize and activate E-learning platforms and systems. The sudden and urgent transformation from the regular traditional learning system to E-learning system has involved many challenges and limitations. Therefore, the need to evaluate and enhance the current E-learning mechanism in Iraq became very urgent and critical need. The target level was students at higher education institutes which include university students in Basra city. The data collected based on students’ evaluation and opinions about E-learning based on their interaction and usage during two years under COVID-19 spread era. This research involved applying data mining techniques to sample dataset and utilizing the obtained results as feedback for a proposed model suggested by the authors to measure adaptability. The proposed model is derived from the idea of the Technology Acceptance Model (TAM) with focus on the positivity as the main factor to measure adaptability. The results of the research showed approximate adaptation level of 52% which is very close compared to the actual situation in real life which involve limitations and challenges faced by Iraqi students. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/35731 10.3991/ijim.v17i01.35731 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/35731/12545 Rights Information about rights held in and over the resource Copyright (c) 2022 Ibrahim Nasir Mahmood, Mustafa Ali Abuzaraida https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 01 (2023); pp. 74-95 1865-7923 Subject The topic of the resource E-Learning, Computer Aided Learning, Data Mining, E-learning Adaptation Model, Web Based Learning Title A name given to the resource A Proposed Model for E-learning Adaptability Measurement During COVID-19 Pandemic Using Data Mining Techniques Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Tawafak, Ragad M Alyoussef, Ibrahim Yaussef Al-Rahmi, Waleed Mugahed Date A point or period of time associated with an event in the lifecycle of the resource 2023-02-06 Description An account of the resource The e-learning system is one of the most common methods for improving student performance and the ongoing goal of using e-learning in higher education. The most popular kind of e-learning system is a big one that is used at the college level, including Moodle, MOOCs, and e-learning systems. A rigorous review of various e-learning tools that can be used to raise students' performance is presented in this paper. Based on a survey of the literature, a comparison was established between the key elements employed in e-learning. The method used was to extract the common elements used in more than one popular model, then to connect these factors to e-learning. In order to create a better model with full element constraints, this paper also includes extracting causal links between these aspects. The analysis's finding is that the most recent models accepted for use in raising student performance are TAM2, TAM3, and ECT. This study reveals the framework used to highlights the easy and popular factors according to the updated related studies.   Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/35727 10.3991/ijim.v17i03.35727 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/35727/12647 Rights Information about rights held in and over the resource Copyright (c) 2023 Ragad Tawafak https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 03 (2023); pp. 160-176 1865-7923 Subject The topic of the resource e-learning Acceptance Model HEI TAM Title A name given to the resource Essential Factors to Improve Student Performance Using an E-Learning Model: Review Study Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Lawal, Ibrahim A. Ibrahim, Adamu A. Zammarah , Nuha A. Date A point or period of time associated with an event in the lifecycle of the resource 2022-11-29 Description An account of the resource In the most recent few years, there has been a meteoric rise in the number of different wireless networks, as has the demand for wireless data services and multimedia applications. An improvement in quality of service (QoS) is required in order to meet the ever-increasing demand while also providing a service that is of a higher standard. One of the most cutting-edge technologies, known as World Wide Interoperability for Microwave Access (WIMAX), was developed with the quality of service in mind during its development. Despite utilizing the most recent advancements in technology, the WiMAX network continues to struggle with QoS performance issues. A brand new distributed Client-Server model was designed for the fixed WiMAX Network in order to reduce application response time. This was done in order to improve the quality of service performance. In order to make a comparison with the existing centralized model, the performance of the proposed model was analyzed with OPNET Modeler 16.0. According to the findings, the newly proposed distributed Client-Server system is capable of satisfying the requirements set forth by its users owing to an improvement in QoS performance in terms of application response time when compared to the conventional model. The performance of the network was increased by the deployment of more Base Stations (BSs), Subscriber Stations, and the utilization of client-server Base Stations that were chosen by the Nearest Neighborhood Algorithm that was devised Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/35675 10.3991/ijim.v16i22.35675 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/35675/12327 Rights Information about rights held in and over the resource Copyright (c) 2022 Ibrahim A. Lawal, Adamu Abubakar, Nuha A. Zammarah https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 22 (2022); pp. 75-93 1865-7923 Subject The topic of the resource WiMAX, QoS, Application Responsse Time, OFDM, FDM Base Station, Sub-scriber Station and OPNET Modeler 16.0 Title A name given to the resource Improving the Quality of Service of Fixed WiMAX Networks by Decreasing Application Response Time Using a Distributed Model Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ajlouni, Aseel O Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-10 Description An account of the resource Robots and hypermedia have been used as effective technological tools in the educational field. Despite their educational benefits, there are no studies investigating their impact on primary students’ intrinsic motivation in the field of science. For these reasons, the study aims to recognize the impact of employing LEGO WeDo 2.0 robotic and hypermedia on intrinsic motivation to learn science among primary students. The study implemented the quasi-experimental approach with a dual group design. The experimental group (n=25) was instructed on the force and motion topic using instruction-based LEGO WeDo 2.0 robotic and hypermedia, while the control group (n=25) was instructed using traditional instruction. The study conducted in Jordan involved fifty primary students.  The data was gathered by administering the developed Intrinsic Motivation Towards Learning Science Scale to both groups at pre and post-points; ANCOVA analysis revealed a significant effect in favor of the experimental group in increasing intrinsic motivation to learn science at α = 0.05. These results recommend science instructors employ robots and hypermedia to foster students’ intrinsic motivation. It also encourages decision-makers in educational institutions to make decisions related to the science curriculum and its instructional methods. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/35663 10.3991/ijim.v17i01.35663 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/35663/12539 Rights Information about rights held in and over the resource Copyright (c) 2022 Aseel O Ajlouni https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 01 (2023); pp. 22-39 1865-7923 Subject The topic of the resource Robot Hypermedia motivation Science Instruction Title A name given to the resource The Impact of Instruction-based LEGO WeDo 2.0 Robotic and Hypermedia on Students’ Intrinsic Motivation to Learn Science Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Naser, Marwa T. Wheeb, Ali H. Date A point or period of time associated with an event in the lifecycle of the resource 2022-12-08 Description An account of the resource Future generations of wireless networks are expected to heavily rely on unmanned aerial vehicles (UAVs). UAV networks have extraordinary features like high mobility, frequent topology change, tolerance to link failure, and extending the coverage area by adding external UAVs. UAV network provides several advantages for civilian, commercial, search and rescue applications. A realistic mobility model must be used to assess the dependability and effectiveness of UAV protocols and algorithms.  In this research paper, the performance of the Gauss Markov (GM) and Random Waypoint (RWP) mobility models in multi-UAV networks for a search and rescue scenario is analyzed and evaluated. Additionally, the two mobility models GM and RWP are described in depth, together with the movement patterns they are related with. Furthermore, two-simulation scenarios conduct with help of an NS-3 simulator. The first scenario investigates the effect of UAV Speed by varying it from 10 to 50 m/s. the second scenario investigates the effect of the size of the transmitting packet by varying it from 64 to 1024 bytes. The performance of GM and RWP was compared based on packet delivery ratio (PDR), goodput, and latency metrics. Results indicate that the GM model provides the highest PDR and lowest latency in such high mobility environments. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/35559 10.3991/ijim.v16i23.35559 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/35559/12425 Rights Information about rights held in and over the resource Copyright (c) 2022 Ass. Prof. Ali H. Wheeb, Marwa T. Naser https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 23 (2022); pp. 125-137 1865-7923 Subject The topic of the resource UAV UAV Network Mobility models search and rescue enviroments Gauss Markov Title A name given to the resource Implementation of RWP and Gauss Markov Mobility Model for Multi-UAV Networks in Search and Rescue Environment Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kiflee, Ag Kaifah Riyard Hasbullah, Nornajihah Nadia Ahmad, Siti Nurhafizah Mastor, Suraya Hamimi Date A point or period of time associated with an event in the lifecycle of the resource 2023-03-21 Description An account of the resource The covid 19 immediate impact has intensely changed global trends. At the same time, the impact covid 19 has exhilarated research interest among researchers worldwide. In Malaysia, the Movement Control Order (MCO) and travel restrictions enforced by the Malaysian Government in March 2020 have significantly hit Malaysian daily life. Therefore, understanding the topic of interest and broadening collaboration networks is critically important to advance research development. This bibliometric study examines the Covid-19 research trends in Malaysia based on publication output, affiliated countries, and author co-occurrences. Utilizing the Scopus database, 1776 articles were identified and extracted from 2020 until 2021. The result has shown that the number of articles related to Covid 19 in Malaysia significantly increased in 2021, resulting in higher cumulative total publications. Most Covid 19 research publications in Malaysia collaborated with the United Kingdom, Pakistan, and United States. The bibliometric literature in this study have declared that digital technologies have the potential to fulfill customized requirements of COVID-19 pandemic. Thinking about advance technologies and its benefits, this study is going to provide a through literature about the application of advance technologies in real-time. Despite of that, this study also mapped the literature based on topic of interest to understand the benefits and application of these technologies in different areas including pure technology, sustainability, education, tourism, psychology, food and agriculture, and the economy.   Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/35551 10.3991/ijim.v17i06.35551 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/35551/12907 Rights Information about rights held in and over the resource Copyright (c) 2023 Ag Kaifah Riyard Kiflee, Nornajihah Nadia Hasbullah, Siti Nurhafizah Ahmad, Suraya Hamimi Mastor https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 06 (2023); pp. 98-115 1865-7923 Subject The topic of the resource Digital technology, covid 19, Malaysia, bibliometric analysis, VosViewer, Sco-pus Database Title A name given to the resource Research Progress of Digital Technology and Emerging Themes During Covid 19 in Malaysia: Bibliometric Analysis Approach Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Mohammed, Mohanad A. Abdul Wahab, Hala B. Date A point or period of time associated with an event in the lifecycle of the resource 2022-10-31 Description An account of the resource Blockchain technology considers the central technology that is used within many applications used frequently with human life. And the primary core of the blockchain is the consensus algorithm which may affect the security of the chain as well as the required resource consumption which affect mainly the blockchain performance directly. In recent years many consensus algorithms have been used and proposed such as proof of work (PoW) and proof of stake (PoS) and many others. However, these algorithms still need some improvement to the security and system resource consumption which will reduce the need for a huge amount of energy and save the environment as well as let the blockchain be useable within low computation ability devices such as the internet of things devices (IoT). This paper proposes a new consensus algorithm that ensures the integrity and authorization of nodes participating in the validation of the transaction and only a predefined number of nodes chosen randomly to participate in block addition which reduces the need for high computations power for mining and voting. The proposed algorithm needs lower time and computation costs comparable to the standard POW algorithm. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/35549 10.3991/ijim.v16i20.35549 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/35549/12173 Rights Information about rights held in and over the resource Copyright (c) 2022 Haider TH.Salim ALRikabi; Mohanad A. Mohammed, Hala B. Abdul Wahab https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 20 (2022); pp. 162-176 1865-7923 Subject The topic of the resource blockchain, proof of work, PoW, proof of stake, PoS, secret sharing, consensus algorithm Title A name given to the resource Proposed New Blockchain Consensus Algorithm Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Loh Yong Loke, Edvin Yusof, Robiah Mohd, Othman Hamid, Erman Nahar, Haniza Arif, Fahmi Fadilah, Suzi Iryanti Date A point or period of time associated with an event in the lifecycle of the resource 2023-05-10 Description An account of the resource COVID-19 Self-Monitoring Tool (COV-SMT) is the research developed to address multiple issues in monitoring quarantined individuals due to COVID-19 infection. As COVID-19 is still highly infectious despite the availability of vaccines, the implementation of contactless Internet of Things (IoT) technology should be encouraged to minimize the need for medical staff to perform daily health checks and thus prevent them from being directly infected during checking. This research aims to develop an effective method to monitor quarantined individuals regarding their vital signs, such as body temperature, heart rate, and oxygen level. A contactless self-monitoring tool integrated with a stages algorithm is developed to monitor these quarantined individuals with the help of IoT technology. It can provide a consistent platform for patients or users to transfer information or data through networks, including personalized healthcare domains. COV-SMT is an effective tool to streamlet the overall process of taking measurements from quarantined individuals. It integrates multiple sensors into one tool while providing a better overall picture with its graphical presentation to help patients and medical staff better understand their health conditions. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/35505 10.3991/ijim.v17i09.35505 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/35505/13181 Rights Information about rights held in and over the resource Copyright (c) 2023 Robiah Yusof, Edvin Loh Yong Loke, Gs. Dr. Othman Mohd, Ts. Erman Hamid, Ts. Haniza Nahar, Dr Fahmi Arif, Dr Suzi Iryanti Fadilah https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 09 (2023); pp. 141-149 1865-7923 Subject The topic of the resource COVID-19 IoT self-monitoring tool health Title A name given to the resource IOT Based Integrated COVID-19 Self-Monitoring Tool (COV-SMT) for Quarantine Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Non-refereed Article