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                <text>Komaini, Anton</text>
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                <text>Hermanzoni</text>
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                <text>Handayani, Sri Gusti</text>
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                <text>Rifki, Muhamad Sazeli</text>
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                <text>Abstract— The This study aims to design a motor skill training tool for children using sensor-based agility components in pgysical education learning. This study uses a research and development design. the materials used are Arduino, Connector, LED, Sensor tool, Power button, and Tool cover.&amp;nbsp; After the product design is made, Collecting research data by conducting direct interviews with experts. it will then be validated by a competent expert. In this study, we asked for validation from three experts, namely: (1) evaluation and exercise evaluation (2) instrumentation physicist (3) motor skills expert. Collecting research data by conducting direct interviews with experts. Based on the expert validation test, the design of skill training tools using sensor-based agility components gets effective results, so that they can be used to carry out motor skills exercises. The importance of motor skills as the basis for every child's active life, with the help of tools to help children to encourage themselves to practice, Design of motor skills training tools with sensor-based agility components has the potential and effectiveness to train children's motor skills.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/29731</text>
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                <text>Copyright (c) 2022 Anton Komaini</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 05 (2022); pp. 207-215</text>
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                <text>1865-7923</text>
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                <text>Motor skills</text>
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                <text>Design of Children’s Motor Training Tools Using Sensor-Based Agility Components in Physical Education Learning</text>
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                <text>Nurhaida, Ida</text>
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                <text>Ayumi, Vina</text>
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                <text>Wei, Hong</text>
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                <text>Dwika Putra, Erwin</text>
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                <text>Utami, Marissa</text>
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                <text>Setiawan, Hadiguna</text>
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                <text>The studies of human mobility prediction in mobile computing area gained due to the availability of large-scale dataset contained history of location trajectory. Previous work has been proposed many solutions for increasing of human mobility prediction result accuration, however, only few researchers have addressed the issue of human mobility for implementation of LSTM networks. This study attempted to use classical methodologies by combining LSTM and DBSCAN because those algorithms can tackle problem in human mobility, including large-scale sequential data modeling and number of clusters of arbitrary trajectory identification. The method of research consists of DBSCAN for clustering, long short-term memory (LSTM) algorithm for modelling and prediction, and Root Mean Square Error (RMSE) for evaluation. As the result, the prediction error or RMSE value reached score 3.551 by setting LSTM with parameter of epoch and batch_size is 100 and 20 respectively.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/16867</text>
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                <text>10.3991/ijim.v14i18.16867</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/16867/8135</text>
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              <elementText elementTextId="38199">
                <text>Copyright (c) 2020 Ida Nurhaida, Handrie Noprisson, Vina Ayumi, Hong Wei, Erwin Dwika Putra, Marissa Utami, Hadiguna Setiawan</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 18 (2020); pp. 132-144</text>
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                <text>1865-7923</text>
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                <text>human mobility</text>
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                <text>long short-term memory (LSTM)</text>
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                <text>DBSCAN</text>
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              <elementText elementTextId="38205">
                <text>Implementation of Deep Learning Predictor (LSTM) Algorithm for Human Mobility Prediction</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="40000">
                <text>Ayyal Awwad, Aiman Mamdouh</text>
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                <text>2021-07-28</text>
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                <text>Recently, the study of emotional recognition models has increased in the human-computer interaction field. With high recognition accuracy of emotions’ data, we could get immediate feedback from mobile users, get a better perception of human behavior while interacting with mobile apps, and thus make the user experience design more adaptable and intelligent. The harnessing of emotional recognition in mobile apps can dramatically enhance users’ experience. Therefore, in this paper, we propose a visual emotion-aware cloud localization user experience framework based on mobile location services. An important feature of our proposed framework is to provide a personalized mobile app based on the user’s visual emotional changes. The framework captures the emotion-aware data, process them in the cloud server, and analyze them for an immediate localization process. The first stage in the framework builds a correlation between the application’s default language and the user’s visual emotional feedback. In the second stage, the localization model loads the appropriate application’s resources and adjusts the screen features based on the real-time user’s emotion obtained in the first stage and according to the location data that the app collected from the mobile device. Our experiments demonstrate the effectiveness of the proposed framework. The results show that our proposed framework can provide a high-quality application experience in terms of a user’s emotional levels and deliver an excellent level of usability that was before not possible.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/20061</text>
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                <text>10.3991/ijim.v15i14.20061</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/20061/9609</text>
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          <element elementId="47">
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              <elementText elementTextId="40009">
                <text>Copyright (c) 2021 Aiman Mamdouh Ayyal Awwad</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 14 (2021); pp. 140-156</text>
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              <elementText elementTextId="40011">
                <text>1865-7923</text>
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          <element elementId="49">
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                <text>Emotion Recognition</text>
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                <text>User Experience</text>
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                <text>Cloud Localization</text>
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                <text>Location-Based Services.</text>
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                <text>Visual Emotion-Aware Cloud Localization User Experience Framework Based on Mobile Location Services</text>
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                  <text>Journal of Naval Architecture and Marine Engineering</text>
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                <text>Billah, Md. Masum</text>
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                <text>Munshi, M. J. H.</text>
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                <text>Azad, A. K.</text>
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                <text>Uddin, M. S.</text>
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                <text>Rahman, M. M.</text>
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                <text>The present study is conducted to investigate heat and fluid flow in an open channel having a circular heater on the bottom surface under magnetic field. The semi-circle is heated isothermally and the other walls of the channel are kept adiabatic. The consequent mathematical model is governed by the coupled equations of mass, momentum and energy and solved by employing Galerkin weighted residual method of finite-element technique. A wide range of pertinent parameters such as Rayleigh numbers (Ra), and Hartmann numbers (Ha) are considered in the present study. In addition, the mixed convection regime is occurred due to buoyancy and shear forces. Various characteristics such as streamlines, isotherms and heat transfer rate in terms of the average Nusselt number (Nuav), average fluid temperature (?av), and Drag force (D) is investigated for the aforesaid parameters. The magnetic field is found as a control parameter on heat and fluid flow, particularly at higher Rayleigh numbers. It is observed that Hartmann numbers have a significant effect on average Nusselt number, average fluid temperature and Drag force.DOI: http://dx.doi.org/10.3329/jname.v9i2.8020 Journal of Naval Architecture and Marine Engineering 9(2012) 81-90</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="34676">
                <text>Copyright (c) 2020 Valerie Bukas Marcus, Noor Azean Atan, Sanitah Mohd Yusof, Lokman Tahir</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 06 (2020); pp. 4-14</text>
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                <text>1865-7923</text>
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                <text>The Internet of things(IoT) is now considered among  the most emerging technologies aiming to interconnect  heterogeneous smart  devices in several areas without human interaction . From sensing  and identification to data processing and storing. The Building and the monitoring of smart systems like smart homes, smart campus and smart cities pass through several stages on which different tools and platforms coexist to answer this need. In this paper, we present a survey on recent works using IoT tools to build their systems. Particularly, we classify and compare them according  to layers and characteristics that we have defined such as data acquisition, data processing , software used, conformity to standards.  Hence , our study aims to provide a clear vision on available functionalities during the process of building IoT systems based on most used IoT tools and to help users to choose the most adapted tool depending on their needs.</text>
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                <text>Copyright (c) 2018 Mohamed EL BEQQAL, Mostafa AZIZ</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 12 No. 5 (2018); pp. 182-191</text>
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                <text>1865-7923</text>
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            <elementTextContainer>
              <elementText elementTextId="27022">
                <text>IoT Solutions</text>
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                <text>RFID</text>
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                <text>Taxonomy on IoT Technologies for Designing Smart Systems</text>
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              <elementText elementTextId="36424">
                <text>Murdiono, Mukhamad</text>
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              <elementText elementTextId="36425">
                <text>Suyato, Suyato</text>
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                <text>Rahmawati, Elly Nur</text>
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                <text>Aziz, Muhammad Abdul</text>
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                <text>The study has developed an android-based mobile application that can assist in the teaching-learning process of civic education in senior high schools. As a research-and-development activity, it employed the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). Based on validation by material experts, the developed application was very feasible to use (89.04%), and the media experts concurred with this assessment (90.78%). During the large-group trials, the application scored between 3.96 and 4.68, meaning that it provides an excellent media or platform with high feasibility for the teaching-learning process of civic education in senior high schools.</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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              <elementText elementTextId="36436">
                <text>Copyright (c) 2020 Mukhamad Murdiono, Suyato suyato, Elly Nur Rahmawati, Muhammad Abdul Aziz</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 16 (2020); pp. 180-193</text>
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                <text>1865-7923</text>
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                <text>Developing an Android-Based Mobile Application for Civic Education Learning</text>
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                <text>Copyright (c) 2021 AEGIS : Journal of International Relations</text>
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                <text>AEGIS : Journal of International Relations; Vol 5, No 1 (2021)</text>
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                <text>Humanitarian crisis due to climate and security challenges in the Far North Cameroon: how the international assistance is organised?</text>
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                <text>Ismail, Issham</text>
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                <text>Azizan, Siti Norbaya</text>
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                <text>Gunasegaran, Thenmolli</text>
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                <text>Prior to embarking on mobile learning, it is critical for learning institutions to research the area of finding the right ingredient for the right learners by firstly seeking whether they are ready to adapt to the mobility of learning. Adding a Malaysian perspective, the purpose of this paper was to present a quantitative study on university students’ readiness for the integration of mobile technologies in education system within their learning institutions. The study was carried out in 11 public universities in Malaysia, whereby 55 questionnaires were randomly distributed to students in each campus. Out of a total of 605 questionnaires distributed, 551 were returned. Overall, the descriptive results were relatively neutral and thus, indicating that they were moderately ready for the educational use of mobile technology. Furthermore, some were quite concerned on cost issue. Despite this, respondents were somewhat agree that they are interested to know more about mobile learning. As a result of the data analysis, some important issues emerged which give rise to the importance of assessing students’ readiness for a successful implementation of mobile learning. These findings may function as anchor-points for further research should mobile learning is to be employed widely in Malaysian higher education setting.</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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            <description>Information about rights held in and over the resource</description>
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                <text>Copyright (c) 2017 Issham Ismail, Siti Norbaya Azizan, Thenmolli Gunasegaran</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 10 No. 3 (2016); pp. 17-23</text>
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                <text>1865-7923</text>
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                <text>awareness</text>
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                <text>Mobile Learning in Malaysian Universities: Are Students Ready?</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="28002">
                <text>El Beqqal, Mohamed</text>
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                <text>Azizi, Mostafa</text>
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                <text>Lanet, Jean Louis</text>
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                <text>Increasingly, safety is present in everyday life, at work, at home, in recreational environments, and in all places where there is a flow of people who share a common space. Using biometric fingerprint technique for identity verification has become a primordial due � to the Reduced costs of implementation, � maturity of this � technology in the market � and the ease of use. Many implementations exist using this technique , however, these systems are hard coupled with the environment in which they were developed and the hardware used to capture biometric data. Consequently, � the interoperability issue is hard present in case of changing the environment or using new fingerprint reader. In this paper, we propose a new architecture to solve this problem by dividing the main biometric application to layers based on a flexible communication between components and supporting heterogeneous platforms and � biometric readers.</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/9528/5254</text>
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              <elementText elementTextId="28013">
                <text>Copyright (c) 2018 Mohamed EL BEQQAL, Mostafa Azizi, jean louis Lanet</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 12 No. 6 (2018); pp. 124-132</text>
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                <text>1865-7923</text>
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                <text>Fingerprint</text>
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                <text>Authentication</text>
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                <text>A Novel Approach for an Interoperable Biometric Verification</text>
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