Search results for "computer.software_genre"
showing 10 items of 3858 documents
Neural networks as effective techniques in clinical management of patients: some case studies
2004
In this paper, we present four examples of effective implementation of neural systems in the daily clinical practice. There are two main goals in this work; the first one is to show that neural networks are especially well-suited tools for solving different kind of medical/pharmaceutical problems, given the complex input output relationships and the few a priori knowledge about data distribution and variable relations. The second goal is to develop specific software applications, which enclose complex mathematical models, to clinicians; thus, the use of such models as decision support systems is facilitated. Four important pharmaceutical problems are considered in this study: identificatio…
Aggregation in Input–Output Tables: How to Select the Best Cluster Linkage
1991
In this paper we try to give a solution to the aggregation problem on working with Input–Output tables. First of all we verify the degree of similarity among the production functions of the industries which aggregate in each sector. Secondly, once we have established the aggregation by using different cluster analysis, we set a number of conditions required to choose the proper linkage method that allows us to characterize the process of aggregation (weighted or unweighted) of the input–output table.
Improving Collective I/O Performance Using Non-volatile Memory Devices
2016
Collective I/O is a parallel I/O technique designed to deliver high performance data access to scientific applications running on high-end computing clusters. In collective I/O, write performance is highly dependent upon the storage system response time and limited by the slowest writer. The storage system response time in conjunction with the need for global synchronisation, required during every round of data exchange and write, severely impacts collective I/O performance. Future Exascale systems will have an increasing number of processor cores, while the number of storage servers will remain relatively small. Therefore, the storage system concurrency level will further increase, worseni…
POSTER: Optimizing scientific file I/O patterns using advice based knowledge
2014
Before us, other works have used data prefetching to boost applications performance [1]–[8]. Our approach differs from these works since we do not rely on precise I/O pattern information to predict and prefetch every chunck of data in advance. Instead we use data prefetching to group many small requests in a few big ones, improving applications performance and utilization of the whole storage system. Moreover, we provide the infrastructure that enables users to access file system specific interfaces for guided I/O without modifying applications and hiding the intrinsic complexity that such interfaces introduce.
Improving Web Prefetching by Making Predictions at Prefetch
2007
Most of the research attempts to improve Web prefetching techniques have focused on the prediction algorithm with the objective of increasing its precision or, in the best case, to reduce the user's perceived latency. In contrast, to improve prefetching performance, this work concentrates in the prefetching engine and proposes the Prediction at Prefetch (P@P) technique. This paper explains how a prefetching technique can be extended to include our P@P proposal on real world conditions without changes in the web architecture or HTTP protocol. To show how this proposal can improve prefetching performance an extensive performance evaluation study has been done and the results show that P@P can…
Learning Content Development methodology for Mobile Devices
2015
Abstract Mobile devices are becoming increasingly popular; basically mobile devices are reaching all levels of society. Thanks to the popularity of mobile devices, mobile learning has become great tool for delivering educational resources. The continuously increasing demand for mobile technology based learning materials, renders adoption of educational resources for these requirements. Technology by itself does not contribute much to education that is why the aim of this research is to present and evaluate methodology for visualisation and production of electronic materials in mobile environments. Methodology focuses on instructional design and mobile content design and the navigation contr…
Progress in 3-D Multiperspective Display by Integral Imaging
2009
Three-dimensional (3-D) imaging techniques have the potential to establish a future mass-market in the fields of entertainment and communications. Integral imaging (InI), which can capture and display true 3-D color images, has been seen as the right technology for 3-D viewing for audiences of more than one person. Due to the advanced degree of its development, InI technology could be ready for massive commercialization in the coming years. This development is the result of a strong research effort performed over the past few years. In this sense, this paper is devoted to reviewing some recent advances in InI, which have allowed improvement in the response of InI systems to the problems of …
In Search for an Integrated Design Basis for Audio and Haptics
2008
Audio and haptics as interaction modalities share properties, which make them highly appropriate to be handled within a single conceptual framework. This paper outlines such framework, gaining ingredients from the literature concerning cross-modal integration and embodied cognition. The resulting framework is bound up with a concept of physical embodiment, which has been introduced within several scientific disciplines to reveal the role of bodily experience and the corresponding mental imagery as the core of meaning-creation. In addition to theoretical discussion, the contribution of the proposed approach in design is outlined.
A Saturation Avoidance Technique for Peer-to-Peer Distributed Virtual Environments
2007
This paper presents a multi-agent framework oriented to animate groups of synthetic humans that properly balance task-oriented and social behaviors. We mainly focus on the social model designed for BDI-agents to display socially acceptable decisions. This model is based on an auction mechanism used to coordinate the group activities derived from the character's roles. The model also introduces reciprocity relations between the members of a group and allows the agents to include social tasks to produce realistic behavioral animations. Furthermore, a conversational library provides the set of plans to manage social interactions and to animate from simple chats to more complex negotiations. Th…
An advanced and distributed control architecture based on intelligent agents and neural networks
2004
A new layered architecture for the implementation of intelligent distributed control systems is proposed. The proposed architecture distinguishes four layers in a distributed control system. Upper layer consists of a digital control layer, where high level decisions are taken. This level is implemented by means of intelligent agents that carry out the discrete control functions, system supervision as well as diagnosis and fault tolerance. Third layer deals with numeric values, performs analog operations and implement analog control loops. It is also in carry of the conversion from numerical variables values to evaluated expressions. This layer has been implemented by means of neural network…