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This paper presents a new method for automatically extracting smartphone users' contextual behaviors from the digital traces collected during their interactions with their devices. Our goal is in particular to understand the impact of users' context (e.g., location, time, environment, etc.) on the applications they run on their smartphones. We propose a methodology to analyze digital traces and to...
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...
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 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...
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...
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...
Ubiquitous Learning changing the existing paradigm of learning that is a learning process everywhere, every time and anything into the learning process right place, right time and the right thing, so that the determination of the appropriate content for the user and the system's ability to adapt to the user is important in ubiquitous learning. Context aware in ubiquitous learning can be used to achieve...
Users context is exploited by an increased number of applications, especially mobile ones, in order to provide their clients with context-oriented services. With our work we try to extend the usage context to laptop and desktop applications and environments. This paper aims analyzing user behavior on three different habitats: at work, at school and at home. The main purpose of this paper is to find...
Deriving trust relationships from real-world social interactions may contribute significant information towards social behaviour understanding. The level of trust among people constitutes an insightful parameter for describing the social context but also an important measure for security and privacy in pervasive systems. Current works for deriving trust relationships either consider only on-line social...
The Physical Web is a generic term describes interconnection of physical objects and web. The Physical Web lets to present physical objects in a web. There are different ways to do that and we will discuss them in our paper. Usually, the web presentation for a physical object could implement with the help of mobile devices. The basic idea behind the Physical Web is to navigate and control physical...
The Home Subscriber Server (HSS) within the packet core of the Long Term Evolution (LTE) is a key node leveraged for essential operations, such as mutual authentication and access control. This centralized node is essential for the overall network operation as it is the cornerstone of the cryptographic functions executed in a mobile network. It stores several parameters for each subscriber, including...
Context-awareness is a very popular method for improving the smart-phone user experience in a certain context, based on device sensor data. This paper present an application that collects data from different sensors at predefined intervals and store them in a database for further analysis. The application also has a web graphical visualizer for the data that helps analyzing the sensor values at certain...
In this paper, we present the Physical Web Browser project for web applications depending on the environment. At this moment, many of users all over the world visit websites using their mobile devices only. Any mobile device (e.g., smartphone) has sensors to capture the environmental information. This information (context) could be analyzed and used within the web applications. There are, at least,...
Mobile technology has become a staple in our society. It plays a crucial and profound role inassisting learners (despite their level and age) in their leaning process using various apparatus and mobile devices (laptop, tablets …). This paper presents a new learning framework based on tablets. This solution has been developed and tested in Esprit "Ecole Supérieure Privée d'Igénieurie et de Technologies",...
Smart environments such as smart grid, smart transportation, smart buildings are upon us because of major advances in sensor, communication, cloud and other cyber-physical system technologies. The collective name for interconnected sensors, placed on "things" within fixed cyber-physical infrastructures, is Internet of Things (IoT). IoT enables cities and rural areas to become smarter and...
The dynamics of the world today demands a change in traditional education paradigms to enable the creation of more efficient learning environments, where students will learn more effectively and will play a more active role in their education. They should interact with the knowledge at anytime-anywhere. In order to tackle this problem we should take advantage of mobile communication devices (e.g.,...
The convergence of Wi-Fi technologies and mobile devices present prospects to design and implement applications that will support learning on the move. Mobile learning (m-learning) is the study and practice of using mobile devices, such as smart phones, mobile phones, tablets, PDAs, MP3s and pocket PCs to support learning for anyone, anytime and anywhere. Through well-situated and flexible mobile...
Microinteractions provide small details that may have a big impact on user experience of a (software) product. There are many examples of successful implementation of microinteractions in traditional software products, such as cut & paste functionality. However, the increasing popularity of mobile and wearable computing devices increases its application area and provides new opportunities to discover...
Existing research on implementing the mobile cloud computing paradigm is typically based on offloading demanding computation from mobile devices to cloud-based servers. A continuous, high quality connection to the cloud infrastructure is normally required, with frequent high-volume data transfer, which can have a detrimental impact on the user experience of the application or service. In this paper,...
Proliferation of Cloud markets has created influx of e-service consumers seeking cost effective services. But, mobile consumers face the challenge of intermittent internet disconnection, long latency, and high energy consumption. To address this challenge, Ad-hoc Mobile Cloud (AMC) paradigm has evolved, where web services are hosted and provided by mobile peers. However, there are three inherent challenges...
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