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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Alaidi, Abdul Hadi</text>
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                <text>Soong Der, Chen S</text>
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                <text>Weng Leong, Yeng</text>
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                <text>2021-08-23</text>
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                <text>The artificial bee colony (ABC) is a well-studied algorithm developed to solve continuous function optimization problems by Karboga and Akay in 2009. ABC has been proven to be more effective than other biological-inspired algorithms with good exploration. However, ABC suffers from low exploitation and slow convergence in some cases. The ABC algorithm study has risen significantly over the past decade, with many researchers trying to improve ABC performance and apply it to solve problems. One method to enhance ABC is to borrow exploration technique from other algorithms. Researchers use pheromone, which is a technique used by Ant Colony optimization algorithm, to enhance ABC and addressed several aspects of using a pheromone to enhance the ABC. This systematic review aims to review and analysis articles about using pheromone to enhance ABC. Articles on related topics were systematically searched in four major databases namely Scopus, Web of Science, Association for Computing Machinery ACM and Google Scholar. To ensure that all research articles were considered the start date is not restrictions the search carry out till February 2021.Five articles were selected based on our inclusion and exclusion criteria for the systematic review. The results show that the use Pheromone to enhance ABC can increase the ABC exploitation ability and overcoming the late convergence. This paper also illustrates several potential pheromone using for future work.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/24171</text>
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                <text>10.3991/ijim.v15i16.24171</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/24171/9757</text>
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                <text>Copyright (c) 2021 Abdul Hadi Alaidi, Chen S Soong Der, Yeng Weng Leong</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 16 (2021); pp. 172-180</text>
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                <text>1865-7923</text>
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                <text>Artificial bee colony</text>
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                <text>Pheromone</text>
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                <text>Ant Colony</text>
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                <text>Systematic Review of Enhancement of Artificial Bee Colony Algorithm Using Ant Colony Pheromone</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Gómez Prada, Urbano Eliécer</text>
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                <text>Orellana Hernández, Martha Lucía</text>
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                <text>Salinas Ibañez, Jesús María</text>
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                <text>This document presents a Decision Support System (DSS) aimed at small livestock farmers who have not made use of Information Technologies (IT) in their production systems. The DSS was built based on the finite difference equations of a simulation model in System Dynamics in whose definition the beneficiaries participated and also served as a base for the development of a serious video game. The DSS and the Serious video game is supported in a Web and Mobile Architecture. The simulation model and the serious video game are used as support tools in the training given to users to learn how to use the DSS. These three tools are the result of a doctoral research project, which used two methodologies during its execution: Design and Development Research and the Case Studies methodology. The tools were applied in an appropriation strategy with livestock farmers of the department of Santander in Colombia, where resistance to change and cultural attachment causes a low adoption of technology. The inclusion of gamification elements helps the user to understand the connection of these elements and their processes in a real farm, know the large volume of data managed by the DSS, enhance the process by making it more fun, improve the learning curve and provide useful data for tracking the use of the DSS. 16 months after the end of the training, the DSS has more than 13000 reported records about the activities of the farmers in their farms.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/14597</text>
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                <text>10.3991/ijim.v14i15.14597</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/14597/7753</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="36026">
                <text>Copyright (c) 2020 Urbano Eliécer Gómez Prada, Martha Lucía Orellana Hernández, Jesús María Salinas Ibañez</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 15 (2020); pp. 4-24</text>
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              <elementText elementTextId="36028">
                <text>1865-7923</text>
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                <text>Information Technologies</text>
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                <text>Appropriation</text>
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                <text>Information systems</text>
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                <text>decision-making</text>
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                <text>Bovine Production System</text>
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                <text>System Dynamics</text>
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                <text>Serious video game.</text>
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                <text>Systems Dynamics and Serious Video Games in an Appropriation Strategy of a Decision Support System for Small Livestock Farmers</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Solias, Andreas</text>
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                <text>Chaldogeridis, Agisilaos</text>
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                <text>Batzikosta, Areti</text>
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                <text>Tsolaki, Magdalini</text>
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                <text>Preventative screening of at-risk population is a crucial step in the early detection of dementia. Building alternative and ecologically validated screening tests are challenging. This pilot project attempts a) to assess the effectiveness of a culturally oriented computerized screening test for major neurocognitive disorder (eHAST) b) to compare it with the Greek version of the UCSF Brain Health Assessment (BHA) which is culturally neutral. Our study focused in a) evaluation of eHAST’s discriminant ability between groups of older adults with cognitive concerns (OACC) (n=35) vs older adults with Mild Cognitive Impairment (MCI) (n=114) and dementia (n=67), and MCI vs dementia in a sample of 216 cases. b) comparison of eHAST’s discriminant ability vs BHA’s in 116 subjects.   The absence of normative data for both of the tests led to balance the sample regarding age and educational level for the comparisons between groups of OACC vs MCI (n = 56) and MCI vs dementia cases (n = 60). All participants were neuropsychologically assessed, clinically diagnosed. Results showed a) Reliability check (Cronbach's alpha) of eHAST was 0.9 and discriminant analyses in separating groups of OACC vs MCI displayed a correct classification rate of 77.3%, for MCI vs dementia 80.6% and OACC vs dementia 89.1% (cross-validated). b) In OACC vs MCI comparison, BHA’s discriminant ability was 67.3% and eHAST’s was 60.7%. In MCI vs dementia comparison, BHA’s discriminant ability was 77.2% and eHAST’s was 76.7% (cross-validated). These preliminary results of the implementation of eHAST are encouraging as the test presents sufficient discriminant ability between groups of OACC-MCI, MCI-Dementia &amp;amp; OACC- Dementia. Also, performs similar scores to BHA, which is a state-of-the-art screening test. The use of a tablet pc in the assessment of cognitive disorders in the elderly can have a catalytic role in the detection of dementia.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/14629</text>
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                <text>10.3991/ijim.v14i11.14629</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/14629/7401</text>
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                <text>Copyright (c) 2020 Andreas Solias, Agisilaos Chaldogeridis, Areti Batzikosta, Magdalini Tsolaki</text>
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              <elementText elementTextId="36125">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 11 (2020); pp. 200-223</text>
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              <elementText elementTextId="36126">
                <text>1865-7923</text>
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                <text>computer-based screening tests</text>
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                <text>cognitive disorders</text>
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                <text>Alzheimer’s</text>
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                <text>Tablet-Administered Screening Tests for the Detection of Major and Mild Cognitive Disorders – Preliminary Findings of a Comparative Study</text>
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                <text>Thinley, Palmo</text>
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                <text>Reye, James</text>
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                <text>Indiana International &amp; Comparative Law Review; Vol. 24 No. 2 (2014); 355-428</text>
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                <text>Mobile phones that accept input by a user’s finger motion are becoming increasingly common. However, they still have challenging problems to research, such as the ergonomic and safety aspects. As an outcome, more research required its capabilities and a critical examination of the existing gestural interfaces and how they assist drivers' activities while driving. This research paper attempts to present a comprehensive understanding of possible gestures on the smartphones by conducting user testing with a sample data of 30 drivers from three different age groups. The user testing was performed in an actual driving environment. Observation and interviews were carried out to study drivers’ behavior while driving. The data gathered were then interpreted into action and motivation levels. The action level was defined by how drivers interact with smartphones while driving, and in motivation level, a study on why drivers interact in that manner was conducted. The results were then drawn to a table with the task carried out during user testing. In conclusion, this research aims to consider all these issues that drivers confront while driving. This is to determine how a more advanced gestural interaction of smartphone interfaces may be created to meet drivers' safety and ergonomic concerns.</text>
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                <text>Copyright (c) 2022 Jayasankari Ganasan, Ts. Dr. Ahmad Sobri Hashim</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 09 (2022); pp. 76-92</text>
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                <text>1865-7923</text>
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                <text>action level</text>
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                <text>Task Based Test Case Generation on Available Gestural Interaction of Smartphone for Improved Safety and Ergonomics in Real Driving Scenario</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>International Journal of Interactive Mobile Technologies (iJIM); Vol. 12 No. 5 (2018); pp. 182-191</text>
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                <text>Copyright (c) 2022 Fadil Latifi, Hysen Kasumi</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 23 (2022); pp. 73-83</text>
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                <text>1865-7923</text>
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                <text>Teachers’ Perspectives on Innovative and Interactive Teaching Methods: Perspective of Mobile Learning</text>
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                <text>This paper discusses the teaching of Fourier Series concepts in  undergraduate Electrical Engineering education with the help of an Android application, especially developed to that end. In order to better understand the links and implications, some of the basic Fourier series theory is briefly reviewed. The Android application has an easy-to-use, friendly interface, conceived to help undergraduate students test and assess the Fourier series expansions on a typical set of signals. The application also allows the students to control the total approximation error and the number of terms/harmonics used in the expansions. It has been found a very useful learning resource in the Fourier series context.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 8 No. 1 (2014); pp. 26-31</text>
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