The new trend in the process of data-intensive management indicates the importance of a distributed file system for both Internet large scale services and cloud computing environments. I/O latency and application buff...
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ISBN:
(纸本)9781479904051
The new trend in the process of data-intensive management indicates the importance of a distributed file system for both Internet large scale services and cloud computing environments. I/O latency and application buffering sizes are two of a number of issues that are essential to be analysed on different class of distributed file systems. In this paper, it is presented a research work comparing four different high performance distributed file systems. Those systems were employed to support a medical image server application in a private storage environment. Experimental results highlight the importance of an appropriate distributed file system to provide a differential level of performance considering application specific characteristics.
Telemedicine is a very important area in medical field that is expanding daily motivated by many researchers interested in improving medical applications. In Brazil was started in 2005, in the State of Santa Catarina ...
Telemedicine is a very important area in medical field that is expanding daily motivated by many researchers interested in improving medical applications. In Brazil was started in 2005, in the State of Santa Catarina has a developed server called the CyclopsDCMServer, which the purpose to embrace the HDF for the manipulation of medical images (DICOM) using a distributed file system. Since then, many researches were initiated in order to seek better performance. Our approach for this server represents an additional parallel implementation in I/O operations since HDF version 5 has an essential feature for our work which supports parallel I/O, based upon the MPI paradigm. Early experiments using four parallel nodes, provide good performance when compare to the serial HDF implemented in the CyclopsDCMServer.
Nowadays, there is a growing interest in telemedicine in Brazil, because the country is the fifth largest country in the world and there is a huge gap between the population size and the number of available doctors. I...
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Nowadays, there is a growing interest in telemedicine in Brazil, because the country is the fifth largest country in the world and there is a huge gap between the population size and the number of available doctors. Institutions and the government are considering solutions for the integration and availability of data produced by several different systems. In this paper we present a contribution that is characterized by an asynchronous replication strategy between distributed medical databases. The contribution, named PGR, is an enhancement to the postgreSQL database software that introduces lightweight asynchronous operations. In addition, we have implemented a multi-master engine with partial replication and hybrid fragmentation in order to allow interoperability between different telemedicine systems. Our early results indicate that the model and its implementation have reached a successful level in terms of performance and interoperability.
Hybrid Neural Systems that integrate symbolic algorithms or fuzzysystems to Artificial Neural Networks (ANN) are a potential alternativeto the more traditional ANN models. However, in contrast with the ANNmodels, thes...
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This article intends to make an analysis about the Artificial Intelligence (AI) and the knowledgemanagement (KM). Faced with the dualism mind and body how we be able to see it AI? It doesn't intent to create iden...
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ISBN:
(纸本)0387346546
This article intends to make an analysis about the Artificial Intelligence (AI) and the knowledgemanagement (KM). Faced with the dualism mind and body how we be able to see it AI? It doesn't intent to create identical copy of human being, but try to find the better form to represent all the knowledge contained in our minds. The society of the information lives a great paradox, at the same time that we have access to an innumerable amount of information, the capacity and the forms of its processing are very limited. In this context, institutions and centers of research devote themselves to the finding of ways to use to advantage the available data consistently. The interaction of the knowledgemanagement with Artificial Intelligence makes possible the development of filtering tools and pre-analysis of the information that appear as a reply to the expectations to extract resulted optimized of databases and open and not-structuralized source, as the Internet.
This paper intends to discuss the concepts of knowledge, information and data and their use on a Competitive Intelligence process. An information concept is presented and the information science influences on the way ...
This paper intends to discuss the concepts of knowledge, information and data and their use on a Competitive Intelligence process. An information concept is presented and the information science influences on the way that it has been used, as so data gathering as internal expert service process support. A relationship between the Competitive Intelligence process approach and the use of the established resources for information process using electronic media is displayed. There is a difference among data, information and knowledge taking the reader up to the Competitive Intelligence and knowledgemanagement concepts found at current literature over this subject. A user connection to knowledge is described in order to make a distinction between the knowledge universe and the user universe, taking the recorded knowledge as a “bridge” connecting both universes. The knowledge universe access way is taken by the language that is in use, while at user universe is represented by the retrieval system that is adopted. A discussion over the frontiers and aspects of each universe is held, as well as the condition for inter-relationship, resulting in an idealistic representation for the user and knowledge relationship. Finally, this paper presents a few points that illustrate the Information Science contributions for the knowledgemanagement process.
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