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Device-to-Device (D2D) communications can offload the traffic and boost the throughput of cellular networks. By caching files at users, content delivery traffic can be offloaded via D2D links, if a helper user are willing to send the cached file to the user who requests the file. Yet it is unclear how much energy needs to be consumed at a helper user to support the traffic offloading. In this paper,...
Plexlearning is one Cyberlearning response to Benjamin Bloom's long standing "Two Sigma Education Problem," since 1984. The problem is that Bloom's research confirms that an education system based on Mastery Learning and Expert one-on-one tutoring is significantly more effective than prevailing aggregate-based education delivery system. However, Bloom, this findings have been summarily dismissed...
Just as with any other profession, an efficient way to exchange ideas and networking in software testing are conferences, workshops and similar events. This is true for both professional testers and researchers working in the testing area. However, these two groups usually look for different kinds of events: a tester likes to attend 'industrial' (sometimes called practitioner's or user) conferences,...
Collaboration between industry and academia in software testing leads to improvement and innovation in industry, and it is the basis for achieving transferable and empirically evaluated results. Thus, the aim of TAIC PART is to forge collaboration between industry and academia on the challenging and exciting problem of real-world software testing. The workshop is promoted by representatives of both...
The aim of this paper is to present a collaborative social platform developed as a research project to enhance serious collaboration between the students of ESPRIT (School of Engineering, Tunis, Tunisia). The platform focuses on automating the creation of opportunistic collaboration between students, based on the type of the tasks conducted (content creation, project realization, problem resolution…),...
Cyber-physical systems (CPS) are based on networked embedded software systems which connect computational entities in a collaborative manner with physical entities of the real world to achieve an overall purpose of its users. Together with available content and services on the World Wide Web, they build networks of systems that integrate with the physical environment. This will lead to radical changes...
Competition and collaboration are two universal ingredients in all human cultures. Competition has been observed over time as a phenomenon that has helped people achieve the very best of their potentials in their various fields. Competition has also helped individuals achieve feats they would not have ordinarily achieved as they are pushed beyond their limits. The same can also be said of cooperation...
Ad hoc On Demand Distance Vector (AODV) routing is an extensively accepted routing protocol for Mobile Ad hoc Network (MANET). The inadequacy of security considerations in the design of AODV makes it vulnerable to black hole attack. In a black hole attack, malicious nodes attract data packets and drop them instead of forwarding. Among the existing black hole detection schemes, just a few strategies...
Recommender systems with the approach of collaborative filtering by using the algorithms of machine learning gives better optimized results. But selecting the appropriate learning rate and regularized parameter is not an easy task. RMSE changes from one set of these values to others. The best set of these parameters has to be selected so that the RMSE must be optimized. In this paper we proposed a...
Recommender systems become extremely popular and widely applied in recent years. Researchers have done many work to developing recommender systems in social network. However, recommendation algorithm is still a challenging problem in practice. In this paper, we address the problem of recommending both friends and product simultaneously in the social network. Recommendation system are widely researched...
Collecting a digital footprint of data from one's everyday activities is becoming an information source for preventive health care. Wearable sensor technologies combined with mobile phone applications offer an interesting way to collect and monitor personal activity data for personal use, in addition to providing information for wellness and health care professionals. In this paper we present our...
This paper presents methods to compare high order networks using persistent homology. High order networks induce well-founded homological features and the difference between networks is measured by the difference between the homological features. This is a reasonable approximation to a valid metric in the space of high order networks modulo permutation isomorphisms. The approximations succeed in discriminating...
Ultra-dense network (UDN) is becoming significant with the rapid growth of smart terminals and traffic demands of the mobile network. In UDN, the number of small BSs is much more than that in the legacy network to satisfy the traffic demands from dense users. It is not suitable in UDN that a user is served by only one small BS. The prior research concentrated on coordinated multipoint transmissions...
This paper describes a method for extracting the search contexts on the basis of the analysis of search history data such as viewed Web pages, search queries, and bookmarks during collaborative exploration activities. There are many opportunities for collaborative exploration in the form of cooperative work at educational organizations such as universities. It is quite significant for collaborative...
Responsive Real-Time Collaborator with Audio Channel, or simply, RTCollaborator, is a user- friendly web application using a responsive layout web design that supports voice and text chat and also has a shared board tool. The application allows users to draw on the board, make flowchart diagrams and see each other's changes, drawings and writings at real- time.
The understanding of the Mexican Energetic Reform as an immediate application of the acquired knowledge in the Electricity and Magnetism Course at Tecnológico de Monterrey Campus Ciudad de México (Tec de Monterrey - CCM) is presented. Hybrid learning activities were designed to fully exploit and transform the classroom experience. Ethical reflections and citizenship discussions added an out-of-the-box...
In this article we show how Principal Component Analysis can determine if a course design provides class activities that drive students to improve their skills and get good grades. We also show how this type of statistical analysis can simplify course design by determining if certain activities and feedback instruments measure the same thing.
A preliminary exploratory and predictive model to correlate the academic performance of a sample of 96 students enrolled in different basic engineering courses with cognitive and social constructs is presented. The model integrates several dimensions regarding Multiple Intelligences, Self-Regulation skills and Learning Styles constructs. The exploratory study is carried out with three statistical...
Recommendation systems is used for the purpose of suggesting items to purchase or to see. They direct users towards those items which can meet their needs through cutting down large database of Information. A various techniques have been introduced for recommending items i.e. content, collaborative and association mining techniques are used. This paper solves the problem of data sparsity problem by...
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