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This paper presents a conceptual framework for building a recommendation engine for use in the ubiquitous consumer wireless world (UCWW). The framework is based on the Lambda Architecture and as such provides real-time recommendations at the speed layer and off-time analytical operations at the batch layer. Moreover, at the speed layer, a root server is used for updating the real-time recommendation...
Indicating its own position is an important ability for a mobile wireless node. As a matter of fact, it is a key enabler for future applications in fields as diverse as routing, security, logistics, entertainment and so on. This position can be computed in many different ways. In a protocol-based approach to positionning, the foundation of this localisation service is the ranging protocol. In this...
The vast growth in mobile data traffic requires future mobile network infrastructure to support fast overall growing mobile devices while improving the cost and the energy efficiencies. Many recent studies in this context have focused on proposing solutions for end-to-end architectural designs based on flexible allocations of functions, network function virtualization and software-defined implementations...
Mobile cloud computing is a promising approach to overcome limitations of mobile devices in terms of battery consumption and capability to execute computation-intensive applications. It consists in outsourcing some parts of computation-intensive applications to cloud servers, so that the overall energy consumption and execution time of application's running are optimized. In addition to classical...
Cloud Radio Access Network (C-RAN) is a novel mobile network architecture that brings baseband processing units (BBUs) of a set of base stations into a central server keeping only remote radio heads (RRHs) at the cell sites. Because of their limited resources, running sophisticated applications on mobile handsets could result in poor performances and shortened battery lifetime. One promising solution...
The main goal of many researches focuses on improving subscriber experience by proposing a variety of services and features to better fit his needs and expectations. In order to improve the response to this subscriber expectation and considering the huge amount of information available in the network combined with performance expectation, we combine services' descriptions with subscriber requests...
We present an architecture for self-motivated agents to organize their behaviors according to possibilities of interactions proposed by the environment, and to modify the environment to construct new possibilities of interactions. The long-term goal is to design agents that construct their own knowledge of objects through experience, rather than exploiting pre-coded knowledge, and exploit this knowledge...
Predictive Processing (PP) [1], [2], [3] is becoming an influential account in cognitive neuroscience, including developmental neuroscience [4]. According to PP, human brains interpret their sensory inputs by predicting them, based on a hierarchy of generative models. These predictions are then compared to the actual, observed inputs, and the difference between predictions and observations (so-called...
People use reminders to recall tasks to-do. But sophisticated enough tools are unavailable. Context-Awareness in mobile computing is more engaging area in gathering information about the user's current situation and would be ideal to integrate with the reminders to generate context-aware reminder where rich context is used to identify when a reminder should be presented to its recipient. Here we have...
This project focuses on creating a participatory mixed reality space, situated in social contexts within urban smart cities. This study explores audiences' social interactions and experiences with tactile engagements from their smart devices and a form of interactive media façade. The association between NodeJS, Websocket.io-to-OSC and TouchDesigner designs integrated with the developed computer projection...
We design a way to model apps as vectors, inspired by the recent deep learning approach to vectorization of words called word2vec. Our method relies on how users use apps. In particular, we visualize the time series of how each user uses mobile apps as a “document”, and apply the recent word2vec modeling on these documents, but the novelty is that the training context is carefully weighted by the...
A context aware nursing support system to push right information to the right person at the right moment is the key to increase clinical safety under a computerized hospital. We prototyped a system which obtains context from positions of nurses and list of expected clinical procedures. A WoZ test showed that the proposed approach has potential to decrease incidents caused by information delivery error.
This paper examines participants' experiences of interacting with a robotic companion (agent) that has the ability to move its “mind” between different robotic embodiments to take advantage of the features and functionalities associated with the different embodiments in a process called agent migration. In particular, we focus on identifying factors that can help the companion retain its identity...
The choice of music in everyday life is greatly influenced by contextual circumstances surrounding music listeners. Music lovers create music playlists for various contexts and activities they are engaged in, and this is done manually by updating and loading new playlist each time a user changes activity or context. This does not make music listening enjoyable as much time and effort is spent on searching...
Researchers in mobile commerce has previously examined the Technology Acceptance Model (TAM) in various contexts, including on user perception and adoption. However, little has been done on understanding the continuity usage factors of mobile commerce services. Our research filled this gap, specifically in the Malaysian airline industry. Interestingly, security and social pressure are no longer a...
Serious concerns have been raised about stealthy leakage of users privacy in mobile apps, and many recent approaches are also proposed to detect privacy leak in these apps. However, more and more benign mobile apps have to send out user's privacy for legitimate functions or user intention. To evade detection, new mobile malware starts to mimic privacy-related behaviors of benign apps that provide...
The recent paradigm of mobile crowd sensing which collects sensed data from pervasive mobile devices enables a broad range of large scale sensing tasks. In this paper, we aim to study one critical challenge in this paradigm, namely, design of compensation or incentive mechanisms for sensors to expend sufficient resources to take high quality measurements and transmit them to the central fusion unit...
The relevance of usability with regard to Blended Shopping concepts is addressed in this paper. First an introduction into usability as a crucial acceptance factor for applications is given. Then Blended Shopping - the combination of traditional retail and eCommerce - in practice is analyzed. Research findings presented reveal that merchants do not apply Blended Shopping concepts in practice until...
In this paper, we examined users' behavior and perception in a mobile English learning application called "English Practice" (EP app). EP app has been placed on Google Play store over four years and has more than 800.000 installed. The study was conducted over two months from October 2015 to December 2015 through Google Analytic by drawing on random sample of 106,912 active users from 208...
This paper is a follow-up to presentations made in 2010 and 2014. Since 2008, the Apple iOS devices have become an integral part of student learning experiences at Abilene Christian University (ACU). This paper shares the experiences of the authors from teaching an undergraduate introductory course on mobile computing at ACU since 2009 to the present. Discussed within this paper are the authors' experiences...
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