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                <text>Ibrahim, Dina M.</text>
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                <text>With the rise of IOT devices and the systems connected to the internet, there was, accordingly, an ever-increasing number of network attacks (e.g. in DOS, DDOS attacks). A very significant research problem related to identifying Wireless Sensor Networks (WSN) attacks and the analysis of the sensor data is the detection of the relevant anomalies. In this paper, we propose a framework for intrusion detection system in WSN. The first two levels are located inside the WSN, one of them is between sensor nodes and the second is between the cluster heads. While the third level located on the cloud, and represented by the base stations. In the first level, which we called light mode, we simulated an intrusion traffic by generating data packets based on TCPDUMP data, which contain intrusion packets, our work, is done by using WSN technology. We used OPNET simulation for generating the traffic because it allows us to collect intrusion detection data in order to measure the network performance and efficiency of the simulated network scenarios. Finally, we report the experimental results by mimicking a Denial-of-Service (DOS) attack.  </text>
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                <text>Copyright (c) 2020 Dina M. Ibrahim</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 10 (2020); pp. 150-158</text>
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                <text>1865-7923</text>
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                <text>Anomaly Detection in Wireless Sensor Networks: A Proposed Framework</text>
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                <text>Rida, Nouha</text>
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                <text>In this paper, we present a new scheme to intelligently control the cycles and phases of traffic lights by exploiting the road traffic data collected by a wireless sensor network installed on the road. The traffic light controller determines the next phase of traffic lights by applying the Ant Colony Optimazation metaheuristics to the information collected by WSN. The objective of this system is to find an optimal solution that gives the best possible results in terms of reducing the waiting time of vehicles and maximizing the flow crossing the intersection during the green light. The results of simulations by the SUMO traffic simulator confirm the preference of the developed algorithm over the predefined time controller and other dynamic controllers.</text>
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                <text>Copyright (c) 2020 Nouha Rida, Mohammed Ouadoud, Aberrahim Hasbi</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 02 (2020); pp. 196-214</text>
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                <text>1865-7923</text>
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                <text>Traffic congestion</text>
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                <text>Ant Colony Optimization for Real Time Traffic Lights Control on a Single Intersection</text>
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                <text>Maziriri, Eugine Tafadzwa</text>
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                <text>Madinga, Nkosivile Welcome</text>
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                <text>In today’s postmodern era, there is phenomenal growth in the use of smartphones, GPS as well as Internet. This has given a rise to a revolution in the business world and the revolution is focused on conducting business on the move usually by mobile commerce applications. The study sought to determine the impact of perceived convenience, facilitation conditions, social influence and price value on the intention to the use an Uber application.  A quantitative methodology was utilised and the research concentrated specifically on consumers, located in the Johannesburg area and using of a non-probability convenience sample. A self-administered questionnaire was designed based on the scales used in previous studies. The statistical data analysis procedures utilised for the quantitative study were descriptive statistics, correlation analysis, reliability analysis, structural equation modelling approach by means of the partial least squares structural equation modelling approach. The hypotheses testing results revealed that the intention to use an Uber application was influenced significantly and positively by perceived convenience, facilitation conditions, social influence and price value.  The study authenticates those factors such as perceived convenience, facilitating conditions, social influence and price value are instrumental in stimulating the intention to use the Uber application. Lastly, based on the findings of this study, limitations were discussed along with the recommendations and concluding remarks.</text>
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                <text>Copyright (c) 2020 Eugine Tafadzwa Maziriri, Justice Mushwana, Nkosivile Welcome Madinga, Miston Mapuranga</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 08 (2020); pp. 76-96</text>
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                <text>1865-7923</text>
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                <text>Antecedents That Influence the Intention to Use the Uber Mobile Application: Customer Perspectives in South Africa</text>
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                <text>This innovative volume gathers some of the world’s best scholars to analysethe world’s collective international efforts to address globalised threatsthrough global security governance. Addressing global and planetary formsof insecurity that include nuclear weapons, conventional arms, genderviolence, climate change, disease, bio weapons, cyber-conflict, children inconflict, crimes against humanity, and refugees, this timely book critiqueshow they are addressed by global institutions and regimes, and advocatesimportant conceptual, institutional, and policy reforms. This is an invaluableresource for students, scholars and policymakers in international health,security and development.</text>
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                <text>The European integration process was initiated based on the model of the United States. The idea was to create a unit similar in some ways to the United States, while at the same time a unique, European entity. Anti-Americanism can be defined as the ideological tendency to resist the reproduction of American economic, social and cultural patterns. At the heart of this article is the question of whether anti-Americanism is an effective contributor to the European integration process.
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                <text>This article presents the main ANSA involved in the conflict in EasternUkraine. It focusses on an analysis of the specific phenomenon of theopolchentsy - Narodnoe opolchenie Donbassa. The aim of this paper is tointroduce and describe these actors and to ground them in certaintheoretical conceptions. The paper also tracks the changing motivations ofthe various ANSA brought under the umbrella of the quasi-state actor NODthroughout the conflict, and the changing array of formations that made upthe opolchenie during a particular period of time. Evidently, the opolcheniedo not fit into the usual classifications of ANSA.</text>
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                <text>People with physical mobility disabilities experience limited ability to perform daily routine. Integration between home appliances and Internet of Thing (IoT) can be used to support these people. The technology allows tasks to be performed much more easily and enable access to applications and services that would be a challenge with existing digital user interfaces. However, the developed system that is commercially available is costly and equipped with highly specific interfaces which may require considerable technical competency to conduct system interfacing. The purpose of this study is to develop a low cost IOT system for voice-enabled lamp control by utilizing Google Assistant that is available in commercial Android based mobile devices, allowing user to operate lighting appliances without moving. Personal assistance using Google platform embedded with Arduino microcontroller, ESP8266-based NodeMCU development board and integrated Blynk application allow for remote monitoring capability. The system is remotely controlled from a tablet or smartphone to assist disabled people with restricted mobility, in particular those with lower limb disabilities. The system had been tested and demonstrated that the lamp control can be easily accessed by voice command that is then validated using voice pitch analyzer. Test result indicated that capability of the integrated voice control system is verified up to a maximum distance of 24.5 meter, making it a potential implementation in any customized smart home or room system for people with mobile disability.        </text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 23 (2021); pp. 164-177</text>
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                <text>In recent years, the use of mobile applications and computer-based games as pedagogical tools has become more and more popular. Additionally, many mobile devices enhance the user experience by providing different sensors, e.g. to deliver location-based educative information. In this article we introduce an online tool for easily creating location-based mobile applications that combine teaching and gaming activities to make users aware of their current environment or situation. First, we briefly present the Location-based Mobile Application Creator (LMAC), an online framework for creating such mobile solutions and discuss potential application scenarios. Then, we introduce a first mobile application for educational purposes created with LMAC in more detail: a game-based scavenger hunt for children enabling them to learn facts about the city of Graz, Austria. Similar to a traditional scavenger hunt, users are able to gather geo-referenced information with mobile devices (smartphones and tablets) and learn about the environment in a playful way. With LMAC, teachers can easily create individual scavenger hunts adapted to the current subject matter. This paper is an extended version of our work published in 2014 at the IMCL-conference.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 9 No. 3 (2015); pp. 52-57</text>
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                <text>1865-7923</text>
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                <text>Nuankaew, Pratya</text>
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                <text>Nasa-ngium, Patchara</text>
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                <text>Nuankaew, Wongpanya Sararat</text>
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                <text>The purpose of the research is to identify the risk of dropping out in tertiary students with an application. The components of the research goal aim (1) to develop the students’ achievement prediction model and (2) to construct a prototype application for the predictions of the tertiary students dropping out. The research tools consisted of three parts, (1) tool for developing predictive prototypes uses a tool called the CRISP-DM process with Decision Tree Classification, Feature Selection methods, Confusion Matrix performance, Cross-Validation methods, Accuracy, Precision and Recall measurements, (2) tool for application development used the SDLC with V-method, and (3) tool to assess application satisfaction used questionnaires and statistical analysis. Data sample were collected from 401 students enrolled in the Business Computer Program at the School of Information and Communication Technology, University of Phayao during the academic year 2012-2016. The results showed that the prediction model had a very high percentage of accuracy (82.29%). The prototype test results with the data gathered had a very high score level (84.04%; correct 337 out of 401 training examples). An overview of the underlying application with the utmost integrity by the researchers planned to put the application to the test in the first semester of the academic year 2021 at the School of Information Technology and Communication, University of Phayao. For future research, the researchers plan to create a mobile application for mentors in the University of Phayao to monitor learner on both Android and iOS systems.</text>
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                <text>Copyright (c) 2021 Pratya Nuankaew</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 22 (2021); pp. 22-43</text>
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                <text>1865-7923</text>
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                <text>Learning Analytics</text>
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                <text>Application for Identifying Students Achievement Prediction Model in Tertiary Education: Learning Strategies for Lifelong Learning</text>
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