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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Kiflee, Ag Kaifah Riyard</text>
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                <text>Hasbullah, Nornajihah Nadia</text>
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                <text>Ahmad, Siti Nurhafizah</text>
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                <text>Mastor, Suraya Hamimi</text>
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                <text>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.
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                <text>https://online-journals.org/index.php/i-jim/article/view/35551</text>
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                <text>Copyright (c) 2023 Ag Kaifah Riyard Kiflee, Nornajihah Nadia  Hasbullah, Siti Nurhafizah  Ahmad, Suraya Hamimi Mastor</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 06 (2023); pp. 98-115</text>
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                <text>1865-7923</text>
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                <text>Digital technology, covid 19, Malaysia, bibliometric analysis, VosViewer, Sco-pus Database</text>
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                <text>Research Progress of Digital Technology and Emerging Themes During Covid 19 in Malaysia: Bibliometric Analysis Approach</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Mohammed, Mohanad A.</text>
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                <text>Abdul Wahab, Hala B.</text>
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                <text>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.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/35549</text>
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                <text>eng</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/35549/12173</text>
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                <text>Copyright (c) 2022 Haider TH.Salim ALRikabi; Mohanad A.  Mohammed, Hala B.  Abdul Wahab</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 20 (2022); pp. 162-176</text>
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                <text>1865-7923</text>
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                <text>blockchain, proof of work, PoW, proof of stake, PoS, secret sharing, consensus algorithm</text>
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                <text>Proposed New Blockchain Consensus Algorithm</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Loh Yong Loke, Edvin</text>
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                <text>Yusof, Robiah</text>
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                <text>Mohd, Othman</text>
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                <text>Hamid, Erman</text>
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                <text>Nahar, Haniza</text>
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                <text>Arif, Fahmi</text>
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                <text>Fadilah, Suzi Iryanti</text>
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                <text>2023-05-10</text>
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                <text>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.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/35505</text>
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                <text>10.3991/ijim.v17i09.35505</text>
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                <text>eng</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/35505/13181</text>
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                <text>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</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 09 (2023); pp. 141-149</text>
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                <text>1865-7923</text>
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                <text>IOT Based Integrated COVID-19 Self-Monitoring Tool (COV-SMT) for Quarantine</text>
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                <text>Alegre-Veliz, Rosa</text>
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                <text>Gaspar-Ortiz, Pedro</text>
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                <text>At present, sentiment analysis has become a trend; above all, in digital product development companies, as it is essential for rapid and automatic analysis. Sentiment analysis deals with emotions with the help of software, and it is playing an unavoidable role in workplaces. The constant growth of social networks, especially the Twitter social network, has made the ability to understand and comprehend users or clients take a greater scope regarding their needs; and therefore, increase the complexity of analysis of this social network, causing excessive expenses in time, personnel and money. This work presents a solution through the application of Machine Learning (ML) for sentiment analysis and thus improve analysis, execution time and customer satisfaction. The scope of this research is limited to using the Support Vector Machine (SVM) supervised learning technique for the intended analysis. The model derives from the ML technique making use of cross validation. The applied methodology is the CRISP-ML(Q) Methodology. The results show that the use of ML allows efficient sentiment analysis in Twitter communications.</text>
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                <text>Copyright (c) 2022 Javier Gamboa-Cruzado, Alegre-Veliz, Pedro Gaspar-Ortiz, Liset Rodriguez Baca, Waldy Grandez Pizarro, Rosa Menéndez Mueras, Carlos Chávez Herrera</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 24 (2022); pp. 126-142</text>
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                <text>1865-7923</text>
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                <text>algorithms</text>
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                <text>Machine Learning for Feeling Analysis in Twitter Communications: A Case Study in HEYDRU!, Perú</text>
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                <text>Gannapathy, Vigneswara Rao</text>
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                <text>Narayanamurthy , Vigneswaran</text>
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                <text>Subramaniam, Siva Kumar</text>
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                <text>Bin Tuani Ibrahim , Ahamed Fayeez</text>
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                <text>The&amp;nbsp;guard tour system&amp;nbsp;helps companies and organizations to monitor their security activities such as protecting people, buildings, assets, or equipment.&amp;nbsp;According to the existing system, the patrolling at each checkpoint is being executed by using RFID-based digital data loggers that records and save all patrolling entries internally. The data will be transferred manually by the guard once the patrolling is completed. In some cases, when there is a problem with the device, the system unable to retrieve the patrolling data that has been already stored in the device. In addition, the current system also not be able to track the guard’s movement, patrolling information, and incidents in real-time basis. The developed Security Guard Patrolling, Monitoring and Reporting (eSmartGuard) system is able incorporates many unique and intelligent technologies such as NFC, GPS and IoT to records and save the patrolling data automatically on the cloud/server in real-time basis. An important value-added feature of the system is real-time incidents notification that able to notify any risk of the guards instantly to the in-charged security officer. Furthermore, through the eSmartGuard, the patrolling information such as time, date, GPS coordinate, guard ID can be monitored and retrieved remotely via proposed Mobile Apps and Web at a convenient time. The eSmartGuard patrolling system is proposed to improve the safety of the people and assets by assisting the security guards to perform their patrolling duty efficiently.</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/35483/13281</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="52138">
                <text>Copyright (c) 2023 Vigneswara Rao Gannapathy, Dr. Vigneswaran Narayanamurthy , Eur Ing Dr. Siva Kumar A/L Subramaniam, Dr. Ahamed Fayeez Bin Tuani Ibrahim , Dr. Ida Syafiza Md Isa, Sujatha Rajkumar</text>
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              <elementText elementTextId="52140">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 11 (2023); pp. 4-14</text>
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              <elementText elementTextId="52141">
                <text>1865-7923</text>
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            <description>The topic of the resource</description>
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                <text>guard patrolling, smartphones, Near Field Communication (NFC), Global Posi-tioning System (GPS), Internet-of-Things (IoT)</text>
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            <description>A name given to the resource</description>
            <elementTextContainer>
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                <text>A Mobile and Web-Based Security Guard Patrolling, Monitoring and Reporting System to Maintain Safe and Secure Environment at Premises</text>
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                <text>Liu, Meiqin</text>
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                <text>Mitsuhara, Hiroyuki</text>
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                <text>Shishibori, Masami</text>
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                <text>Japan is in the Pacific Rim Seismic Belt, and earthquakes happen frequently. Foreigners who lack the necessary earthquake knowledge and escape skills may not survive strong earthquakes in Japan. Therefore, it is essential to provide earthquake education to these foreigners. Since rich-formed earthquake education has been available for foreigners living in Japan, this research works to improve the earthquake education situation for foreigners who intend to visit Japan. Receiving earthquake education in advance helps enhance foreigners’ earthquake risk awareness, gain more opportunities to master earthquake survival knowledge, and build earthquake survival confidence. This paper proposed a learning model called ‘FOE+G’ to achieve this research goal. ‘FOE’ means the frequency of occurrence of earthquakes in Japan, and ‘G’ means gamification. A prototype system in the form of a cross-platform application has been developed to confirm that the learning model improves earthquake education for the target audience. The application delivers an earthquake notification to target objects each time an eligible earthquake occurs in Japan. The High-frequency earthquakes in Japan lead to relatively frequent updates, which enable users to build earthquake awareness, realise the importance of earthquake education, and participate more actively in it. Furthermore, gamification is employed in the application to prompt participation in earthquake education.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/35479</text>
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                <text>10.3991/ijim.v16i24.35479</text>
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                <text>eng</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/35479/12467</text>
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              <elementText elementTextId="52109">
                <text>Copyright (c) 2022 Meiqin Liu, Hiroyuki Mitsuhara, Masami Shishibori</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 24 (2022); pp. 170-190</text>
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                <text>1865-7923</text>
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                <text>Earthquake education</text>
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                <text>earthquake survival ability</text>
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                <text>foreigners intending to visit Japan</text>
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                <text>FOE G learning model</text>
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                <text>A Mobile Application for Earthquake Education Targeting Foreigners Intending to Visit Japan</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Hosseini, Seyed Ebrahim</text>
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                <text>Charters, Stuart</text>
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                <text>Anthony , Patricia</text>
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                <text>As people age, maintaining and improving their Quality of Life becomes increasingly important. To understand the impact of smartphone technology and communications applications on Quality of Life, a quasi-experimental study was conducted with elderly people living in Shiraz-Iran. The study population included all the registered senior in public health centers in Shiraz, Fars, Iran during 2018 and 2019. Overall, 119 elderly people participated in the study. The study randomly categorized participants into intervention (59 participants with mean age 66.19±2.73) and control (60 participants with mean age 66.67±3.00) groups. They were asked to answer the validated Persian version of the Control, Autonomy, Self-realisation, Pleasure scale (CASP-19) scale questionnaire for Quality of Life assessment. A significant mean difference was observed by the paired t-test between pre-and post-test (t= -8.61, p&amp;lt;0.00), post-and follow-up-test (t= -2.24, p=0.02), and pre-test and follow-up test (t= -8.42, p&amp;lt;0.00) in the intervention group.&amp;nbsp;The results of paired t-test for the control group showed no significant mean difference between pre-test and post-test (t= 1.35, p=0.18), post-test and follow-up test (t= 0.38, p=0.70) and pre-test and follow-up test (t= 1.94, p=0.06) for Quality of Life. The rationale for this study, along with the educational training associated with it, was to help families, and the aging field practitioners to understand the importance of modern communication technology teaching to promote a greater Life Quality in the community of the elderly.
&amp;nbsp;</text>
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                <text>Shaikh, Muneer Ahmed</text>
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                <text>This paper presents a simple approach to providing location-based services (LBSs) for the remotely located educational and health institutes on demand, particularly in emergency situations i.e., COVID-19, using an antenna array. The proposed approach consists of the sum and difference patterns of the signal obtained from the antenna array at the base station of a wireless network. It provides the location of the targeting institute i.e., education and health, in terms of the angle-of-arrival (AoA) which can be used to steer the radiation beam in the targeted direction in order to provide the desired services i.e., emergency wireless communication link. In this way, fast and high bandwidth-based communication and networking can be possible for the mentioned organizations. We show antenna array design and location finding results in this paper. The obtained results in terms of antenna parameters and AoA show that the proposed approach is efficient, less complicated, and can be implemented in the next-generation wireless networks i.e., AI-enabled IoT and 5G systems, particularly for the educational and health institutes.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 22 (2022); pp. 4-14</text>
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                <text>1865-7923</text>
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                <text>Location-based services</text>
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                <text>Location Based Services for Remote Education and Health Institutes Using Sum-Difference Signal Patterns</text>
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                <text>The fifth generation (5G) mobile communication technology though, is being deployed in various parts of the world to improve the wireless systems in terms of infrastructure and quality of services, in view of mobile communication history, the 5G may be unable to handle the deluge mobile network traffic of the future digital society. In general, new wireless technologies are introduced every 10 years, and services mature every 20 years, and therefore sixth generation (6G) mobile communication technologies, which have a great potential to impact on the market, are expected to be commercialized around 2030. In order to secure technological leadership in mobile communication, which is an essential infrastructure for everyday life and industrial sites, advanced countries around the world have begun to develop 6G technology. The expected main features of the 6G technology include: providing 10 to 100 times more performance than 5G, maximizing performance by utilizing the terahertz band which was not utilized by existing communication networks before, use artificial intelligence techniques for smart networking, and combining the previously isolated technologies. This paper provides an overview on the profile, advancements, implications, architecture, expected applications, and challenges of the futuristic 6G wireless communication systems described by innovative researchers and major global organizations.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 24 (2022); pp. 191-203</text>
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                <text>1865-7923</text>
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                <text>What You Should Know About Next Generation 6G Mobile Technology</text>
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                <text>Abbas, Ahmed Saleem</text>
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                <text>Multipath TCP (MPTCP) is a project that has proposed by IETF group to allow packet streams to be separated across multiple sub-flow paths. MPTCP brings a great benefit in throughput, reliability, and fairness. However, MPTCP can be implemented in a little Linux distribution where it requires compiling and installing to become available for an actual and simulation scenario. In the paper, the performance analysis and evaluation results in both TCP and MPTCP are achieved through PC computer connected to Wi-Fi access point and 3G in heterogeneous networks. The simulation results prove that MPTCP performs better than single-path TCP for heterogeneous networks. All experiments over MPTCP and TCP leads to same results in terms of the throughput in heterogeneous networks. In this paper, four congestion control methods are implemented in the kernel and compared with each other understand the behaviors of those methods. The result of the experiment proves that Linked Increased Algorithm (LIA) has the advantage over the others in light data traffic while Balanced LIA (BLIA) has the advantage the others when there is heavy data traffic</text>
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              <elementText elementTextId="52018">
                <text>Copyright (c) 2022 Haider TH.Salim ALRikabi; Ahmed Saleem  Abbas</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 19 (2022); pp. 163-175</text>
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