Density Functional Theory calculation on many-cores hybrid CPU-GPU architectures

The implementation of a full electronic structure calculation code on a hybrid parallel architecture with Graphic Processing Units (GPU) is presented. The code which is on the basis of our implementation is a GNU-GPL code based on Daubechies wavelets. It shows very good performances, systematic convergence properties and an excellent efficiency on parallel computers. Our GPU-based acceleration fully preserves all these properties. In particular, the code is able to run on many cores which may or may not have a GPU associated. It is thus able to run on parallel and massive parallel hybrid environment, also with a non-homogeneous ratio CPU/GPU. With double precision calculations, we may achieve considerable speedup, between a factor of 20 for some operations and a factor of 6 for the whole DFT code.Comment: 14 pages, 8 figure

A new block cipher algorithm that adopts the magic square of the fifth order with messages of different lengths and multi-function in GF(28)

This paper is considered as a development of encryption algorithms based on Magic Square of Order Five. Both GF(P) and GF(28) are used to encode both images and text. Where two different algorithms were used, the first using message length = 10 and the second message length = 14, and an unspecified number of rounds were added and a mask will be used in the even round will use the addition operation and in the odd round will used the multiplication operation so that the text resulting from the first round will be as input text for the next Round, and thus. The speed, complexity, NIST tests and histogram for the first ten rounds were calculated and compared with the results of the previous algorithm before the rounds were made, where the complexity in the first algorithm was = ((256)^ 15)^(r+1)× (256)^10 + or × (256)^25 and the complexity in the second algorithm = ((256)^11)^(r+1) ×(256)^14 + or × (256)^25 where r represents the number of round used

Virtual Reality Games for Motor Rehabilitation

This paper presents a fuzzy logic based method to track user satisfaction without the need for devices to monitor users physiological conditions. User satisfaction is the key to any product’s acceptance; computer applications and video games provide a unique opportunity to provide a tailored environment for each user to better suit their needs. We have implemented a non-adaptive fuzzy logic model of emotion, based on the emotional component of the Fuzzy Logic Adaptive Model of Emotion (FLAME) proposed by El-Nasr, to estimate player emotion in UnrealTournament 2004. In this paper we describe the implementation of this system and present the results of one of several play tests. Our research contradicts the current literature that suggests physiological measurements are needed. We show that it is possible to use a software only method to estimate user emotion

Advanced tracking techniques for Active Target Time Projection Chamber detectors in Nuclear Physics experiments

Tracking detectors for low-energy nuclear physics experiments, acting at the same time as reaction targets, are very promising devices in a wide range of research topics. The ability to measure and reconstruct the trajectory of all of the reaction products with high efficiency and good geometrical resolution allows particle spectroscopy studies to be performed under experimental conditions below the sensitivity threshold of standard techniques. This is possible only if solid, efficient, and computationally fast reconstruction codes are implemented and validated. In the presented thesis project, reconstruction codes and classification techniques have been developed aimed at processing experimental data from the ACTAR Active Target. The purpose of such codes was to provide accurate information about track geometry, particle energy, and identification. In particular, the reaction $^{20}$O(d,$^3$He)$^{19}$N$^\star$ has been first analyzed using the Hough transform and RANSAC algorithms, comparing their efficiencies. In the second part, the results obtained applying machine learning techniques on the same data will be presented, with the aim of achieving a fast event classification employing for the first time on ACTAR these cutting-edge techniques

Products and Services

Today’s global economy offers more opportunities, but is also more complex and competitive than ever before. This fact leads to a wide range of research activity in different fields of interest, especially in the so-called high-tech sectors. This book is a result of widespread research and development activity from many researchers worldwide, covering the aspects of development activities in general, as well as various aspects of the practical application of knowledge

Tangible user interfaces : past, present and future directions

In the last two decades, Tangible User Interfaces (TUIs) have emerged as a new interface type that interlinks the digital and physical worlds. Drawing upon users' knowledge and skills of interaction with the real non-digital world, TUIs show a potential to enhance the way in which people interact with and leverage digital information. However, TUI research is still in its infancy and extensive research is required in or- der to fully understand the implications of tangible user interfaces, to develop technologies that further bridge the digital and the physical, and to guide TUI design with empirical knowledge. This paper examines the existing body of work on Tangible User In- terfaces. We start by sketching the history of tangible user interfaces, examining the intellectual origins of this field. We then present TUIs in a broader context, survey application domains, and review frame- works and taxonomies. We also discuss conceptual foundations of TUIs including perspectives from cognitive sciences, phycology, and philoso- phy. Methods and technologies for designing, building, and evaluating TUIs are also addressed. Finally, we discuss the strengths and limita- tions of TUIs and chart directions for future research