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                <text>Artha Journal of Social Sciences; Vol. 20 No. 3 (2021): Artha Journal of Social Sciences; 113-115</text>
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                <text>A Diplomat’s Reminiscences</text>
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                <text>A project for the creation and implementation of a distance-learning course on Indoor Environmental Comfort in Buildings (IECB) is presented. This course resulted from a request by Ordem dos Engenheiros (Portuguese engineering professional body) to the University of Coimbra. It was based on the Indoor Environmental Quality (IEQ) course of the Master in Energy for Sustainability and PhD in Sustainable Energy Systems of the University of Coimbra, coordinated by the first author. Jointly with the support of the Distance Education Service of the University of Coimbra, using as a starting point the existing contents of a formal discipline, the teaching methodologies and a set of activities were developed to implement a distance-learning course with a strong e-learning component by the students. Diversified strategies, using the existing platform running on Moodle, such as webinars, virtual laboratories, remote access labs, discussion forums and synchronous sessions, were tested to ensure a dynamic and interested engagement of the students along the course.</text>
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                <text>Copyright (c) 2017 Manuel Gameiro Silva, Luísa Dias Pereira, João A. Dias Carrilho, Joana Neto, Maria José Marcelino, Mário Mateus, Nelson Silva Brito, Sandra Pedrosa</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 5 (2017); pp. 118-129</text>
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                <text>To initialize ship design process, it is very important to be able to develop an initial estimate of ship parameters to satisfy designer required specifications. For new emerging designs, this estimate has to be made based on a limited available set of examples. Moreover, a practical estimate prediction strategy should be flexible enough having no distinction between input (specified constraints) and outputs (parameters required to be estimated), since these vary from one design case to another.&amp;nbsp; Conventional regression-based techniques, which are usually employed to provide the required estimates, suffer from low accuracy in case of a small number of available examples. In addition to that, they fail to capture the interrelation between different design parameters. To overcome these limitations and others, the present paper proposes a new approach based on a system of artificial neural-networks (ANNs). The new approach not only overcomes regression limitations but is also capable of providing a reliable estimate of initial design offset table based on different ANN outputs.&amp;nbsp; The paper uses a case study for demonstrating the merits of the proposed approach.Keywords: Ship design; regression; ship series; Artificial Neural Networks (ANNs); Multilayer Perceptrons (MLPs); Normalized Gaussian Modified Lagrangian (NGML) doi: http://dx.doi.org/10.3329/jname.v8i2.6945 Journal of Naval Architecture and Marine Engineering 8(2011) 71-82</text>
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                <text>Association of Naval Architects and Marine Engineers</text>
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                <text>Journal of Naval Architecture and Marine Engineering; Vol. 8 No. 2 (2011); 71-82</text>
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                <text>Ship design</text>
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                <text>A flexible system for initial ship design parameters estimation using a system of neural networks</text>
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                <text>Qureshi, Muhammad Talha</text>
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                <text>Rai, Athaul</text>
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                <text>Islam, Noman</text>
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                <text>Sheikh, Ghazala Shafi</text>
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                <text>This paper proposes a novel four-pronged solution for estimating routes and total time required to travel in a transportation network. The proposed solution attempts to optimize the Google’s Map API request flow using open street map (OSM). As it is known that each request to Google Map API will incur some latency, since different computation are performed on Google server for each request. To avoid this latency, route estimations (distance and time) are calculated using a four-pronged approach based on Google map API, open street map (OSM), routing cache and logical grid of locations. The objective is to create a generalized routing system that tries to use Google services in optimized fashion. The proposed approach stores each requests/ response from Google Map API into an optimized data structure called cache. After passage of time, these cache records are moved to another data structure called random access memory (RAM) file. In scenarios where requests can’t be served via stored data, the proposed system attempts to give approximate estimations based on open street map (OSM) using an A* search for finding route. In addition to this, data that has been cached in proposed approach can be used for further analysis or applying machine learning algorithm for off-line route calculations later.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 10 (2022); pp. 210-222</text>
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                <text>This paper presents a description of an interactive satellite TV based mobile learning (STV-ML) framework, in which a satellite TV station is used as an integral part of a comprehensive interactive mobile learning (M-Learning) environment.  The proposed framework assists in building a reliable, efficient, and cost-effective environment to meet the growing demands of M-Learning all over the world, especially in developing countries. It utilizes recent advances in satellite reception, broadcasting technologies, and interactive TV to facilitate the delivery of gigantic learning materials. This paper also proposed a simple and flexible three-phase implementation methodology which includes construction of earth station, expansion of broadcasting channels, and developing true user interactivity.  The proposed framework and implementation methodology ensure the construction of a true, reliable, and cost effective M-Learning system that can be used efficiently and effectively by a wide range of users and educational institutions to deliver ubiquitous learning.</text>
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                <text>In a mobile environment, due to the various constraints
inherited from limitations of wireless communication
and mobile devices, checking for integrity constraints to
maintain the consistent state of mobile databases is an important
issue that needs to be addressed. Hence, in this paper
we propose a framework for caching relevant data items
needed during the process of checking integrity constraints
of mobile databases. This is achieved by analyzing the relationships
among the integrity tests (simplified form of integrity
constraints) to be evaluated for a given update operation.
This improves the checking mechanism by preventing
delays during the process of checking constraints and performing
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 3 (2009): Special Issue: Technical Basics; pp. 18-23</text>
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                <text>Integrity Tests</text>
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                <text>A Framework for Caching Relevant Data Items  for Checking Integrity Constraints of Mobile  Database</text>
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                <text>In this paper we present a framework (CA-Mobile Framework) for develop educational activities for collaborative learning based on mobile devices, this framework is composited by two main components: A documental reference and an API for develop mobile software, these components are described in this paper, included a process model for apply the framework as well as a evaluation of the documental reference. The results of this evaluation show that is possible replicate the procedure of describe and define activities based on mobile devices using the CA-Mobile Framework.</text>
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                <text>Copyright (c) 2017 Rene Cruz Flores, Gabriel López Morteo</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 4 No. 3 (2010); pp. 9-18</text>
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                <text>1865-7923</text>
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                <text>API library</text>
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                <text>A Framework for Educational Collaborative Activities Based on Mobile Devices: A Support to the Instructional Design</text>
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                <text>Nang, Hsu Mon Pyae</text>
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                <text>Harfield, Antony</text>
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                <text>When it comes to the use of mobile technology in the classroom, one of the major challenges for the teacher is finding suitable applications that appropriately match the topic of study. In most areas of education there are tools for evaluating teaching materials, but there are few tools for evaluating mobile technology in the classroom. The lack of evaluation methods means that for teachers, who are increasingly using tablets in the primary level classrooms, the results can be “hit or miss”. The aim of the study is to propose and describe a new framework that enables primary school teachers to evaluate tablet-based games effectively. The proposed framework is adapted from the four-dimensional framework (FDF). Thereby, supporting teachers in the choice of suitable tablet-based games to use in their classrooms that balance the essential aspects of student engagement (or playability) and learning achievement. A small case study is carried out based on the evaluation of 30 iPads STEM applications. The proposed framework can predict the initial pitfalls of technical and design issues in applications before class use. The successfully evaluated applications are used for the experiment at primary school in Thailand. The improvement of students’ learning skill, behavioral outcomes, and teachers’ perspectives are not considered in this study.</text>
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                <text>Copyright (c) 2018 Hsu Mon Pyae Nang, Antony Harfield</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 12 No. 5 (2018); pp. 126-139</text>
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                <text>1865-7923</text>
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                <text>A Framework for Evaluating Tablet-based Educational Applications for Primary School Levels in Thailand</text>
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                <text>Omotosho, Adebayo</text>
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                <text>Tyoden, Truman</text>
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                <text>Ayegba, Peace</text>
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                <text>Ayoola, Joyce</text>
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                <text>The importance of students’ involvement in classroom and non-classroom university courses cannot be overemphasized in the process of learning. But, students for several reasons must be motivated to enhance their continuous participation, especially in non-classroom courses. Landmark University is an agrarian-based institution and students are expected to actively take part in at least one agricultural course irrespective of their specializations. Students commitments to Farm Practice courses are core to graduation despite many students not meeting the expected level of dedication early. Gamification is the process of using game strategies and techniques to actively engage and motivate audiences and to solve problems. Using a database of agricultural resources from Landmark University Teaching and Research Farm, a prototype for a gamified mobile app for engaging students in Farm Practice is developed. Game features such as point, leaderboard, and scoresheet were embedded. The application performance was evaluated by a total of fifty students and 70% of the students claimed that their interests in Farm Practice were positively affected after using the app for the first time.</text>
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                <text>Copyright (c) 2019 Adebayo Omotosho</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 05 (2019); pp. 94-109</text>
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                <text>1865-7923</text>
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                <text>A Gamified Approach to Improving Student’s Participation in Farm Practice – A Case Study of Landmark University</text>
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