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Educational use of mobile robots is among the most explored subtopics of Human-Robot Interaction (HRI), given the potential attention calling possibilities drawn by its novelty aspect. In educational environments is expected that social robots enhance learning, such as virtual agents that have been used. However, the real effect of applying a physical robot has not been well exploited. This paper...
In this paper, we implement the Wi-Fi hardware architecture. The core chip designed by the MediaTek Corporation is used to develop its peripheral circuits. The chip supports USB Type and can control the lighting circuit through the APP on the mobile phone, so as to simulate the switch of household electrical appliances. In the future, consumers can purchase home appliances with built-in communication...
Edge computing is an increasingly popular paradigm, wherein computation comes closer to the sources of data. A key challenge for edge computing is discovering and utilizing the heterogeneous resources of the vast number of mobile devices at the network edge. Mobile edge devices hide behind private networks, they are mobile and their owners hesitate to share them due to privacy considerations. We propose...
Understanding and predicting cellular traffic at large-scale and fine-granularity is beneficial and valuable to mobile users, wireless carriers and city authorities. Predicting cellular traffic in modern metropolis is particularly challenging because of the tremendous temporal and spatial dynamics introduced by diverse user Internet behaviours and frequent user mobility citywide. In this paper, we...
Mobile device features such as camera and other sensors are evolving rapidly nowadays. Supported by a reliable communications network, it raises new methods in information retrieval. Mobile devices can capture an image with its camera and pass it to the retrieval systems to get the information needed. This system, called Mobile Content-Based Image Retrieval (MCBIR), generally consists of two parts:...
With the advancements in mobile technologies, different compute-intensive tasks are emerging rapidly. However, due to resource constraints, these tasks are facing challenges to execute on mobile devices. As a solution to this problem, cloud migration has been introduced to execute a task on the cloud and then to return the results to the user mobile device. In this paper, a cloud migration decision-making...
In these last few years, several recent studies have demonstrated the possibility to perform Human Activity Recognition (HAR) by smartphone sensor data, enabling in this way a new generation of context-aware mobile applications. Smartphone-based HAR systems can exploit the full set of embedded sensors beside the accelerometer in order to increase the accuracy of the detection process. At the same...
Group cognitive conflicts occur when a learner in a collaborative mobile learning environment becomes aware of a discrepancy between his/her existing cognitive framework and new information or experience. The cognitive conflicts stimulate the learning process by making an individual to move from his/her learning sphere and participate with others in the learning process. However, there is a big challenge...
Thanks to the proliferation of mobile technologies that enable devices to use the network for providing (publish) or requiring (subscribe) information according to specific applications aims, the Internet of Things (IoT) can be considered as the biggest challenge that the industry is currently facing. During the last years several application domains for IoT have emerged and among these the Smart...
Crowdsensing (CS) is a new data collection paradigm based on the willingness of people to utilize their mobile devices to sense and transmit data of interest. Given the large amount of cellular users, mobile sensor networks will be able to collect enough data to address large-scale societal problems in a fast, easy, and cost-effective manner. One important issue in CS is that of privacy; without appropriate...
ETSI has developed a novel Software Radio Reconfiguration framework encompassing technical, certification and security solutions. Compared to legacy Software Reconfiguration technology, such as the Software Communications Architecture, the ETSI solution is designed for lowest overall power consumption and efficiency. For this purpose, a novel approach for Code Portability has been developed — a Radio...
As communication and sensing capabilities of mobile devices increase, mobile applications are becoming increasingly complex. The ability of computation offloading, which is one of the main features of mobile edge computing gains relevance as a technique to improve the battery lifetime of mobile devices and increase the performance of applications. In this paper, we describe the offloading system model...
By placing processing-capable devices at the edge of local wireless access networks, Edge Computing architectures have been recently proposed to connect mobile devices to computational power through a one-hop low-latency wireless link. In this paper, we propose a new design where edge assistance is used to control local data filtering at the mobile devices in bandwidth and energy constrained systems...
The purpose of this research is to build an educational prototype for attracting high school seniors and college students to pursue university degrees. The prototype entails demonstrable hardware and software comprising of a set of communication nodes with call priorities, which are used to help educate students on future and practical implications of spectrum sharing. Two objectives are achieved...
Mobile devices nowadays can connect to the network very conveniently using cellular data network or WiFi. However, latency is still a challenge caused by the stability and the availability of the network, mainly in the context of mobile environments. In this paper, we propose an architecture based on a Cloudlet model using CAching and pre-FEtching scheme (CAFE scheme) to improve data access efficiency...
The Internet is extensively used today, not only for the transfer of information, but also for applications in scientific learning. Therefore, many networked learning platforms have been developed for this purpose. We present a system which makes possible the implementation of a guideline for every mobile device user regarding the adaptation of the Zigbee smart sensors in http protocols making the...
Internet of Things (IoT) has accelerated the deployment of millions of sensors at the edge of the network, through Smart City infrastructure and lifestyle devices. Cloud computing platforms are often tasked with handling these large volumes and fast streams of data from the edge. Recently, Fog computing has emerged as a concept for low-latency and resource-rich processing of these observation streams,...
Mobile technology has a major role in every day life. The limitations of the mobile devices cause some serious issues in the performance of an application. The emerging mobile environment needs computational support from the external environment called cloud computing. The mobile devices establish the communication to the cloud through the wireless medium. The property of the mobile devices is not...
The use of traffic information in map applications designed for stand-alone navigation devices as well as in mobile devices has become a common trend. This information is often governed by the various service providers with little or non-existent feedback from the users. Using a wide user base it is possible to collect information on traffic conditions faster and more efficiently. Additionally, many...
Mobile Crowd Sensing (MCS) is a promising paradigm in which mobile users collect and share sensor data from their local environment using wireless mobile devices. The inherent openness of this platform and the selfishness of individuals make it easy to contribute low-quality sensor data, so the recruitment of suitable participants who are trustable and contribute high-quality sensor data, becomes...
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