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This paper presents collaborative experience teacher-students to achieve an improvement in student evaluation results, and to provide quality content on Internet about Networks, which is a subject of the Degree in Telecommunication Engineering of the University of Alicante.
For the wide area surveillance various ip-based sensors should collaborate to understand the situation. It consists of transferring of huge multimedia data as well as feature data recognized. Cognitive multi-agent systems on sensors retrieve and classify features extracted from images and videos. To enable collaborative reasoning between agents on sensors, interoperable sensor data deployment scheme...
This study proposes a novel diversity-enhanced Particle Swarm Optimization (PSO) scheme for optimal control of overflow in multi-reservoir sewer networks. To this aim, first two diversity boosting methodologies, cyclic neighborhood-based learning mechanism and three-phase velocity control mechanism for the particle's behavior, are proposed, and then these are combined with the constrained PSO method...
The interest in distance learning (DL) in agronomic sciences, where students are in a place far from the teacher and communicate with each other via computer and other means of communication is growing fast. Thus distance learning becomes the most flexible and adaptable one to the budget of working people, (mother - raising their children, people living in remote locations, seasonal and timely work...
Cloud computing infrastructure that currently exists will give birth to a new generation of mobile applications, different from traditional applications. Several projects underway to explore this promising new market. In this context we propose as an exploration tool in this field, the ISO standard RM-ODP which allows architecting and designing of interoperable and distributed systems. in this article...
According to our statistical analysis based on the datasets provided by Yahoo!, most users have a favored score which is used most frequently in their music ratings. We call the frequency of a user's most favored score the polarization ratio since the rating distributions depict apparent polarizations: 66.99% of the total users have the frequency larger than 0.5; while 80.37% of the total users' most...
An efficient colorization scheme for images based on prioritized source propagation is proposed in this work. A user first scribbles colors on a set of source pixels in an image. The proposed algorithm then propagates those colors to the other non-source pixels. Specifically, the proposed algorithm identifies the non-source pixel with the highest priority, which can be most reliably colorized. Then,...
Universities are major centers of production and dissemination of knowledge. Because of proximity of knowledge to decisions more data can improve the performance and quality of service organizations. On the other hand, Knowledge management is a systematic issue Categories that successful implementation requires a pathology and holistic approach to organizational various factors. In this paper, we...
Text Classification and Feature Selection are mostly used for organizing the text document in the digitized form. Due to the enormous increased in number of documents in digitized form, text categorization and feature selection approach becomes most important and promising in the last decades. The problem arises for text categorization is the large number of features available in the document. Now...
Clustering has to do with the identification of interesting distribution patterns and similarities, natural groupings or clusters, within a collection of objects in a dataset. Clustering is an unsupervised learning problem and can be distance-based or conceptual. In distance-based clustering the similarity criterion is based on distance. Objects belong to the same cluster if they are close according...
Support vector machine (SVM) is a popular method for classification in data mining. The canonical duality theory provides a unified analytic solution to a wide range of discrete and continuous problems in global optimization. This paper presents a canonical duality approach for solving support vector machine problem. It is shown that by the canonical duality, these nonconvex and integer optimization...
Since there is significant increase in adoption of cloud computing, securing users emails is also a growing concern. This paper reviews the boundaries, privacy, vulnerabilities, varying legislations of cloud based emails, and how to mitigate such to provide reliable and secure cloud based email services for users and organizations. We propose a new framework to improve security of cloud based email...
Cloud computing is an emergent technology in the process of becoming ubiquitous. This requires strategies to deal with challenging situations. While a P2P structure is suitable under usual circumstances, other structures may be required in case of strong perturbations and disruptions. This paper describes a partial blackout scenario: the Cloud uses self-management properties to switch from a peer-to-peer...
Mobile networks have gone through various stages of evolution with each stage aimed at addressing a wide range of challenges and limitations. During the early evolutions of mobile networks - 2G, 2.5G, 3G -, the key challenge was to investigate efficient and cost effective ways of delivering higher data speeds. This led to the proposals and development of 4G LTE networks based on a flat all-IP architecture...
Roll-out of future cloud systems will be influenced by regulations from the standardisation bodies, if made available across the community. Trends in cloud deployment, operation and management to date have not been guided by any regulatory standards, and resources have been deployed in an ad hoc manner as demanded according to the business objectives of service providers. This is the least costly...
The use of lessons learned in project management is still not fully satisfactory. The current web-based project management systems (WPMS) mainly support project lifecycle with no much consideration to project initiation and closing. The main objective of this paper is to incorporate the features of semantic web and features of wiki technology to capture project lessons learned knowledge. This paper...
With the advancement of computing the arena of software development life cycle and its traditional software architectural models are moving towards more flexible and agile techniques. Service oriented architecture is one of the modern architecture techniques which are composed of loosely coupled and flexible software components called services. Service oriented architecture supports usability, scalability...
ERP systems are complex software systems that organizations use to manage their resources. From the beginning of ERP system life cycle to its end it faces lots of risks that have to be identified and appropriate measures should be taken to reduce or avoid these risks throughout project life cycle. The ERP system risk expands to all major risk dimensions majorly six which are 1) control & plan...
The wear of Ultra-high Molecular Weight (UHMWPE) Polyethylene inserts, it continues affecting the longevity of the total knee replacement (TKR) together with the aseptic loosening, and both constitute the two main causes of failure [1]. Considering this, it is necessary to find appropriate solutions to avoid the excessive wear and until the rupture of the polyethylene elements. The main purpose of...
Cloud computing and multi agent systems are two different but correlated flavors of distributed computing. Cloud computing is a business oriented model with efficient infrastructural usage as the prime focus while the multi agent system research is oriented towards the development of intelligent applications on distributed infrastructure. The commonality between the two appears when agents in a multi-agent...
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