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This paper presents findings from the deployment of a mobile application designed to enable students to learn more effectively in field studies. The mobile application supports students in a design task as part of their learning of HumanComputer Interaction design skills. It explores the challenges in implementing and deploying such an app in a pedagogic context. A number of evaluations were conducted...
Mobile devices are increasingly becoming a melting pot of different types of data ranging from sensitive corporate documents to commercial media to personal content produced and shared via online social networks. While it is desirable for such diverse content to be accessible from the same device via a unified user experience and through a rich plethora of mobile apps, ensuring that this data remains...
With the proliferation of smart phones, mobile applications (APPs) are increasingly being used for mobile work and entertainment. In order to satisfy people's various demands, there are enormous mobile applications being delivered through different mobile application markets. This brings markets owners huge opportunities and tough challenges simultaneously. It is very difficult to find proper APPs...
In recent years, the presence of mobile devices is increasing significantly in society as well as its potential applications. However, in the field of education, the possibilities offered by augmented reality are still untapped. This paper aims a first approach to the integration of QR codes in teaching engineering subjects. Experience shows the restructuring of the subject “Electronic Instrumentation”,...
A vast body of research has been exploring the effectiveness of Mobile Assisted Language Learning (MALL) in second language teaching and encouraging the incorporation of MALL into pedagogical practice (Bárcena, E. et al 2015, Kukulska-Hulme et al. 2015). Paradoxically, however, pre-service teachers tend to be unfamiliar with the benefits of using of mobile devices in language teaching and learning...
Mobile context-aware computing is an essential component of the smart cities infrastructure. Attempts were made to develop a model that can effectively represent a system in device to support context-aware behavior. The purpose of this paper is to identify deficiencies of the previously developed model and propose solutions to improve it.
The resource demands of specific services develop as well along with the increase of mobile. Nonetheless, mobile certainly will often be restricted performance that is regarding computation, storage, battery life, context adaptation of connectivity, scalability, and heterogeneity included security issue. An outstanding solution to address these limitations is definitely to offload computation is mobile...
Smart mobile devices are variously used in the health sector. Some mobile applications empower patients to better understand their health problems, others guide them in health behavior. Moreover, smart mobile devices can be used in clinical research. Mobile crowd sensing has proven high usefulness for collecting health data with high ecological validity in this context. As the core idea, individually...
E-health applications are methods used by medical practitioners to assess and follow their patients' mental and physical conditions. They may also provide feedback to patients and help them to change their behavior. Our research project aims to propose a mobile application (app in short) for suicide prevention. The principle is to develop a connected tool used by the patient to report about his/her...
The new Information, communication, and mobile technologies empower the users to learn anywhere and anytime. They also need conversational systems that could be aware of their mobile context in order to adjust it dynamically. The actual research field is focusing on adaptive conversational systems, especially in the case of Mobile-learning. This paper presents a comparative study of some related works...
This work describes SituMan (Situation Manager), a mobile system that makes use of the sensors commonly included in most mobile platforms and a fuzzy inference engine to attempt to infer user context and environment. Such "situation" information, has been used to enhance the behaviour of MoodBuster, another mobile application used in the scope of the mental health domain to collect Ecological...
The concept of this article is to design, develop and validate mechanisms for deciding on the creation and set-up of opportunistic networks based on moving access points (MAPs) for mobile client nodes. Mobile client nodes can be smart/connected cars in civilian use cases, or any kind of operational vehicles and/or robots/drones in military cases. Opportunistic networks will be formed in an ad hoc...
In this paper, and in the context of a course of 1st cycle in Informatics, and following the guidelines of the Information Systems courses provided by ACM/AIS, we propose the use of Google tools and Lucidchart modeling tool, aligned with Bloom's taxonomy in our model BML Context Oriented (BML-CO) in a Requirements Engineering course based on Unified Modelling Language (UML) to modeling and specify...
Mobile surveys are an important research tool. In mobile health, triggering survey questions based on patient health, context, and other external information can aid in tailoring a survey to each specific user's particular situation. However, creating such a survey with existing systems is burdensome. Therefore, this paper presents a novel information system to ease the creation and deployment of...
For the last decade, researchers are showing interest in mobile cloud computing (MCC) for its promising potentiality. It combines cloud computing and mobile computing providing better quality of service to user with mobile device. Resource famished applications can now be executed on mobile devices by offloading the task on cloud. Major research areas in MCC are how, where and when to offload a task...
Several learning technologies have been developed over the years in order to help distance learning process. However, those technologies are still not enough to give the proper interaction between their users and the technologies themselves. It is caused by the absence of the technologies ability to give context based on their users conditions. When human interacts with each other, they understand...
This paper presents a new approach to the continuous K nearest neighbors search (C-KNN) problem, in the context of road networks. Our approach is based on Formal Concepts Analysis (FCA), which has a mathematical foundation. FCA offers an abstraction of the network based on the neighborhoods. We build the concept lattice based on the binary relations between the target points as well as theirs properties...
The use of mobile devices is rapidly growing each year due to their portability and convenience. User experience and battery life are both crucial topics in the advancement of these devices. Sensing the light environment of a mobile device and adapting the output of the device accordingly can create positive results for both user experience and battery life. In this paper, we concentrate on different...
Semantic labeling of road scenes using colorized mobile LiDAR point clouds is of great significance in a variety of applications, particularly intelligent transportation systems. However, many challenges, such as incompleteness of objects caused by occlusion, overlapping between neighboring objects, interclass local similarities, and computational burden brought by a huge number of points, make it...
We live in a world of intelligent robots, drones and mobile phones/assistants. The technologies behind these products are heralded by a new wave of deep learning applications ported on mobile devices. The robotic and vision technologies behind these products will shift the applications of electronic devices to a more superior level of intelligence that will change our world. From a hardware point...
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