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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Al-Mohtaidi, Reham</text>
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                <text>Mustafa Jwaifell</text>
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                <text>Yahya Al-Dhaimat</text>
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                <text>The study aimed to investigate the effectiveness of using interactive simulation in developing some physics concepts in a sample of kindergarten children. To achieve the study objective, a semi-experimental method was used. The study sample consisted of the (45) kindergarten children of ‘The Pink Bird’ Kindergarten in Petra. They were randomly divided into two groups: an experimental group of (22) children who were taught using interactive simulation, and a control group of (23) children who were taught by the traditional way. Contrary to the traditional method of education, the study results proved the effectiveness of interactive simulation in the acquisition of physics concepts among kindergarten children. It was also found that around 61% of the change in the dependent variable (physical concepts) is due to the use of interactive simulation in teaching. Eventually, the study included a set of recommendations in the light of its results.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 07 (2022); pp. 70-81</text>
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                <text>1865-7923</text>
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                <text>Interactive Simulatation</text>
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                <text>The Effectiveness of Using Interactive Simulation in Kindergarten Children’s Acquisition of Physics Concepts</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Saleh, Ashraf</text>
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                <text>Eneizan , Bilal</text>
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                <text>Al-Radaideh, Ahmad</text>
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                <text>Hanandeh, Feras</text>
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                <text>The growth of mobile commerce marketplaces worldwide has been boosted by modern advances in digital technology. However, Privacy and security are still concern in m-commerce application. Since the previous study has researched the link between security and privacy and purpose to use, the factors that influence the formation of privacy and security in m-commerce are mostly unidentified. On the basis of UTAUT2, this study investigates the factors of security and privacy effecting mobile commerce acceptance. A hybrid SEM-ANN method was utilized to identify non-linear and compensatory interactions. Compensatory and Linear models are based on the idea that a deficiency in one component might also be compensated for by other variables. Linear and Non-compensatory models, on the other hand, seem to overcomplicate buyer decision mechanisms. Survey criteria have been conducted to obtain 890 mobile commerce consumer’s datasets utilizing an application on m-commerce. The following are the results. (1) M-commerce acceptability and use were positively influenced by five determinants (Security, performance expectancy, effort expectancy, habit, and price value). (2) Un-authorization, Error, secondary usage, collection, control, and awareness were all shown to directly and significantly negatively impact M-COMMERCE acceptance and use. (3) Three additional variables (social influence, hedonic motivation, and facilitating conditions) did not affect customers' intentions to use m-commerce applications in Jordan. In m-commerce, the integrated model expects a 45% percent increase in security and privacy.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/31815</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/31815/12243</text>
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                <text>Copyright (c) 2022 Ashraf Saleh, Odai  Enaizan , Bilal  Eneizan , Lu’ay  Al-Mu’ani, Ahmad  Al-Radaideh</text>
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              <elementText elementTextId="50045">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 21 (2022); pp. 125-152</text>
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                <text>1865-7923</text>
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            <name>Subject</name>
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                <text>Privacy</text>
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                <text>Neural Network Approach</text>
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                <text>mobile commerce</text>
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                <text>mobile application</text>
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                <text>acceptance</text>
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                <text>A Hybrid SEM and Neural Network Approach to Understand and Predict the Determinants of Consumers’ Acceptance and Usage of Mobile-Commerce Application</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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          <element elementId="39">
            <name>Creator</name>
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              <elementText elementTextId="32190">
                <text>Alqaralleh, Bassam A. Y.</text>
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                <text>Al-Omari, Ahmad H.</text>
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                <text>Alksasbeh, Malek Zakarya</text>
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                <text>Mobile information and communication technology changed how people and businesses can benefit from government public services at any time and from anyplace. The success or failure of mobile government services is becoming more dependent on satisfying the needs and the expectations of both citizens and business organizations. This paper reviews and analyses some existing empirical studies that examine m-Government acceptance in some developing countries. Then, a new integrated conceptual model for examining some important key factors that may affect m-Government acceptance in Jordan from user perspective was proposed.  An empirical test was conducted using a questionnaire to explore the effect of the following factors: Trust in mobile channel, trust in government, perceived usefulness, perceived ease of use, relative advantage, compatibility, complexity, service quality and user satisfaction on the behavioural intention to use m-Government applications. Finally, justification of the proposed integrated model and formulation of the associated hypotheses was conducted.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/11449</text>
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                <text>10.3991/ijim.v14i06.11449</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/11449/6867</text>
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              <elementText elementTextId="32201">
                <text>Copyright (c) 2020 Malek Zakarya Alksasbeh</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 06 (2020); pp. 115-136</text>
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                <text>1865-7923</text>
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                <text>m-Government</text>
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                <text>e-Government</text>
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                <text>technology acceptance</text>
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                <text>An Integrated Conceptual Model for m-Government Acceptance in Developing Countries: The Case Study of Jordan</text>
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                <text>Tawafak, Ragad M</text>
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                <text>Al-Rahmi, Waleed Mugahed</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 7 No. 1 (2013); pp. 41-45</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 3 No. 4 (2009); pp. 4-7</text>
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                <text>The use of Computers, Networks, and Internet has successfully enabled educational institutions to provide their students and instructors with various online educational services. With the recent developments in M-learning and mobile technology, further possibilities are emerging to provide such services through mobile devices such as mobile phones and PDAs. By providing the educational services using wireless and mobile technologies, the educational institutions can potentially bring great convenience to those off-campus students who do not always have time to find Internet enabled computers to get the important educational information from their academic institutions. With the mobile or M-educational services, both the students and the instructors can access the services anytime and anywhere they want. This paper discusses those M-educational services that can be moved to the mobile platform and then presents the system prototype and architecture that integrate these services into the mobile technology platform. The paper will conclude with a description of the formative evaluation of the system prototype.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 7 No. 1 (2013); pp. 25-30</text>
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                <text>Rapid spread of smart mobile technology that supports internet access is transforming the way governments provide services to their citizens. Mobile devices have different capabilities based on the manufacturers and models.  This paper proposes a new framework for adapting the content of M-government services using mobile agent technology. The framework is based on a mediation architecture that uses multiple mobile agents and XML as semi-structure mediation language. The flexibility of the mediation and XML provide an adaptive environment to stream data based on the capabilities of the device sending the query to the system.</text>
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                <text>Copyright (c) 2017 Hasan Omar Al-Sakran, Qasem Kharma, Irina Serguievskaia</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 7 No. 1 (2013); pp. 10-15</text>
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                <text>1865-7923</text>
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                <text>Agent</text>
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                <text>Agent Based Framework Architecture for Supporting Content Adaptation for Mobile Government</text>
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                <text>AL-Shatnawi, Atallah</text>
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                <text>Al-Saqqar, Faisal</text>
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                <text>Alhusban, Safa’a</text>
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                <text>In this paper, we introduce a multi-stage offline holistic handwritten Arabic text recognition model using the Local Binary Pattern (LBP) technique and two machine-learning approaches; Support Vector Machines (SVM) and Artificial Neural Network (ANN). In this model, the LBP method is utilized for extracting the global text features without text segmentation. The suggested model was tested and utilized on version II of the IFN/ENIT database applying the polynomial, linear, and Gaussian SVM and ANN classifiers. Performance of the ANN was assessed using the Levenberg-Marquardt (LM), Bayesian Regularization (BR), and Scaled Conjugate Gradient (SCG) training methods. The classification outputs of the herein suggested model were compared and verified with the results obtained from two benchmark Arabic text recognition models (ATRSs) that are based on the Discrete Cosine Transform (DCT) and Principal Component Analysis (PCA) methods using various normalization sizes of images of Arabic text. The classification outcomes of the suggested model are promising and better than the outcomes of the examined benchmarks models. The best classification accuracies of the suggested model (97.46% and 94.92%) are obtained using the polynomial SVM classifier and the BR ANN training methods, respectively.</text>
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              <elementText elementTextId="37462">
                <text>Copyright (c) 2020 Atallah AL-Shatnawi, Faisal Al-Saqqar, Safa’a alhusban</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 16 (2020); pp. 20-34</text>
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                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Handwritten Arabic Text</text>
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                <text>Holistic Recognition</text>
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              <elementText elementTextId="37470">
                <text>A Holistic Model for Recognition of Handwritten Arabic Text Based on the Local Binary Pattern Technique</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="20577">
                <text>Daoud, Omar</text>
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                <text>Hamarsheh, Qadri</text>
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                <text>Al-Sawalmeh, Wael</text>
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                <text>This work proposes a new algorithm to enhance the performance of the speaker verification over the communication systems based Multiple-Input Multiple-Output (MIMO) - Orthogonal Frequency Division Multiplexing (OFDM) techniques.  The algorithm mainly tackles and overcomes the effect of the high Peak-to-Average Power Ratio problem that is found in OFDM systems, MIMO-OFDM combination has been developed to meet the rapidly increment in the users demand such as the ubiquitous transmission, imposing new multimedia applications and wireless services. In this algorithm, wavelets techniques have been used to denoise the affected OFDM symbol by high PAPR values. After that and based on adaptive threshold method the local maxima and minima will be determined and replaced by the average of them and their surrounding neighbors; Denoise OFDM and Replace PAPR (DORP).
A system performance investigation process will be accomplished based on both of numerical method and MATLAB simulation. Moreover, a comparison has been made to check the validity of our proposition either with our previously published work or with the literature. Although, the achieved results show that the proposed work has lower PAPR values; an additional complexity has been added to transceiverâ??s structure. Moreover, and as a result to the comparison with the conventional systems, the bit error rate (BER) performance has been improved for the same bandwidth occupancy.
As a validity process a comparison has been made with the current values found in the literature and we have achieved around 30% PAPR extra reduction. That is in addition to around 90% verification rate and noise immunity.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/2302</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/2302/2712</text>
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          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="20588">
                <text>Copyright (c) 2017 Omar Daoud, Qadri Hamarsheh, Wael Al-Sawalmeh</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 7 No. 3 (2013); pp. 4-8</text>
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                <text>1865-7923</text>
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                <text>MIMO</text>
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                <text>Eigen vectors component.</text>
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                <text>MIMO-OFDM Systems Performance Enhancement Based Peaks Detection Algorithm</text>
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