World events as the 2014 World Cup not only need a good physical infrastructure, but also need a virtual infrastructure consisting of intelligent information systems that can assist users in locating games, drills, interviews, among other events and services associated with the Cup and their preferences. Spatial Data Infrastructure (SDI) context information associated with the mapped ontology i...

BACKGROUND Limited knowledge exists on injuries among professional alpine skiers. OBJECTIVE To describe the risk of injury and the injury pattern among competitive World Cup alpine skiers during the competitive season. METHODS Retrospective interviews were performed with all World Cup athletes from 10 nations at the end of the 2006-7 and 2007-8 winter seasons, and all acute injuries occurri...

Transportation sector generates a considerable part of each nation's gross domestic product and considered among the largest consumers of oil products in the world. This paper proposes a heuristic method for the vehicle routing problem with hard time windows while incorporating the costs of fuel, driver, and vehicle. The proposed heuristic uses a novel speed optimization algorithm to reach its ...

We introduce here a new technique for segmenting optic cup using two-dimensional fundus images. Cup segmentation is the most challenging part of image processing of the optic nerve head due to the complexity of its structure. Using the blood vessels to segment the cup is important. Here, we report on blood vessel extraction using first a top-hat transform and Otsu's segmentation function to det...

This paper presents a Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) for the optimal operation of a complex multipurpose and multi-reservoir system. Firstly, MOEA/D decomposes a multi-objective optimization problem into a number of scalar optimization sub-problems and optimizes them simultaneously. It uses information of its several neighboring sub-problems for optimizin...

In this paper, we describe our approach to track 2 of the KDD Cup 2011. The task was to predict which 3 out of 6 candidate songs were positively rated – instead of not rated at all – by a user. The candidate items were not sampled uniformly, but according to their general popularity. We develop an adapted version of the Bayesian Personalized Ranking (BPR) optimization criterion [9] that takes t...

We develop an adapted version of the Bayesian Personalized Ranking (BPR) optimization criterion (Rendle et al., 2009) that takes the non-uniform sampling of negative test items — as in track 2 of the KDD Cup 2011 — into account. Furthermore, we present a modified version of the generic BPR learning algorithm that maximizes the new criterion. We use it to train ranking matrix factorization model...

so far various methods for optimization presented and one of most popular of them are optimization algorithms based on swarm intelligence and also one of most successful of them is particle swarm optimization (pso). prior some efforts by applying fuzzy logic for improving defects of pso such as trapping in local optimums and early convergence has been done. moreover to overcome the problem of i...

With the rapid growth of Internet in recent years, network intrusion has been a difficult problem to solve. Security of computers from harmful attacks has become a crucial issue. Recognition of attacks is becoming a harder problem to crack in the field of Computer Network Security. Denial of Service (DoS) attack is an attack which affects large number of computers in the world daily. Detection ...