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Network Communication (network + communication)

Distribution by Scientific Domains

Engineering	50%

Selected Abstracts

Clinical networks for nursing research

INTERNATIONAL NURSING REVIEW, Issue 3 2002
W. P. Gillibrand MS c
Abstract As a central feature of national research and development strategies, clinical effectiveness emphasizes the importance of rigorous experimental research in nursing. It is naïve to assume that over-worked practitioners, with little research training and supervision, can undertake this type of research. Traditional approaches to research support rely on the practitioner registering for a higher degree and academic supervision. This assumes that the responsibility for research lies with practice, with higher education adopting a reactive stance in supporting research and development in nursing. The literature demonstrates a growing number of innovative models for facilitating nursing research. These, however, tend to focus on single appointments with limited and predefined access to clinical areas and patient populations. This article details a new initiative from the Clinical Nursing Practice Research Unit (CNPRU) that aims to support programmatic research in nursing practice through Clinical Networks for Nursing Research. Our research strategy is to contribute to the development of nursing science by facilitating effective collaboration between clinicians and higher education in core clinical specialties, including stroke rehabilitation, diabetes, mental health and community nursing. Each researcher has developed networks with a number of clinical areas, locally, regionally or nationally, through seminars, conferences or newsletters, to link practitioners and generate answerable research questions. Network communications also rely heavily on the establishment of interactive websites. This strategy has resulted in a number of collaborative, evaluative studies including clinical trials in rehabilitation, diabetic nursing and primary care. [source]

E-model based comparison of multiple description coding and layered coding in packet networks

EUROPEAN TRANSACTIONS ON TELECOMMUNICATIONS, Issue 7 2007
Yugang Zhou
We examine the performance of multiple description coding (MDC) with and without the use of automatic repeat request (ARQ) protocols for packet network communication, in comparison with layered coding (LC). The rate-distortion lower bound of MDC and LC are incorporated into an E-model based performance measure, which accounts for the additional costs of excess rates and delay incurred from using ARQ. The results show that the relative merits of the schemes depend on the values of the packet loss rates and round-trip-time (RTT). LC is superior for small RTT and unaided MDC is superior for large RTT. For moderate RTT, LC is preferred for small packet loss rates and MDC aided by ARQ is preferred for large packet loss rates. Copyright © 2007 John Wiley & Sons, Ltd. [source]

xBCI: A Generic Platform for Development of an Online BCI System

IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, Issue 4 2010
I Putu Susila Non-member
Abstract A generic platform for realizing an online brain,computer interface (BCI) named xBCI was developed. The platform consists of several functional modules (components), such as data acquisition, storage, mathematical operations, signal processing, network communication, data visualization, experiment control, and real-time feedback presentation. Users can easily build their own BCI systems by combining the components on a graphical-user-interface (GUI) based diagram editor. They can also extend the platform by adding components as plug-ins or by creating components using a scripting language. The platform works on multiple operating systems and supports parallel (multi-threaded) data processing and data transfer to other PCs through a network transmission control protocol/internet protocol or user datagram protocol (TCP/IP or UDP). A BCI system based on motor imagery and a steady-state visual evoked potential (SSVEP) based BCI system were constructed and tested on the platform. The results show that the platform is able to process multichannel brain signals in real time. The platform provides users with an easy-to-use system development tool and reduces the time needed to develop a BCI system. Copyright © 2010 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. [source]

Fault-tolerant control of process systems using communication networks

AICHE JOURNAL, Issue 6 2005
Nael H. El-Farra
Abstract A methodology for the design of fault-tolerant control systems for chemical plants with distributed interconnected processing units is presented. Bringing together tools from Lyapunov-based nonlinear control and hybrid systems theory, the approach is based on a hierarchical architecture that integrates lower-level feedback control of the individual units with upper-level logic-based supervisory control over communication networks. The local control system for each unit consists of a family of control configurations for each of which a stabilizing feedback controller is designed and the stability region is explicitly characterized. The actuators and sensors of each configuration are connected, via a local communication network, to a local supervisor that orchestrates switching between the constituent configurations, on the basis of the stability regions, in the event of failures. The local supervisors communicate, through a plant-wide communication network, with a plant supervisor responsible for monitoring the different units and coordinating their responses in a way that minimizes the propagation of failure effects. The communication logic is designed to ensure efficient transmission of information between units, while also respecting the inherent limitations in network resources by minimizing unnecessary network usage and accounting explicitly for the effects of possible delays due to fault-detection, control computations, network communication and actuator activation. The proposed approach provides explicit guidelines for managing the various interplays between the coupled tasks of feedback control, fault-tolerance and communication. The efficacy of the proposed approach is demonstrated through chemical process examples. © 2005 American Institute of Chemical Engineers AIChE J, 2005 [source]

A standard transformation from XML to RDF via XSLT

ASTRONOMISCHE NACHRICHTEN, Issue 7 2009
F. Breitling
Abstract A generic transformation of XML data into the Resource Description Framework (RDF) and its implementation by XSLT transformations is presented. It was developed by the grid integration project for robotic telescopes of AstroGrid-D to provide network communication through the Remote Telescope Markup Language (RTML) to its RDF based information service. The transformation's generality is explained by this example. It automates the transformation of XML data into RDF and thus solves this problem of semantic computing. Its design also permits the inverse transformation but this is not yet implemented (© 2009 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim) [source]

Operative Platform Applied to Building Automation

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, Issue 1 2009
João Figueiredo
This structure is composed by three interrelated levels: the Operational level,where the field equipment is controlled, the Inter-Active level,where inhabitants communicate the building their preferences regarding control variables (lights, temperature, etc.), and the higher-level control, the Overall Building Well-Being Model, which manages the global building, taking into account the optimization of the inhabitants preferences, constrained by the available resources. At this third level, the inter-building communication is available. Each building has the capability to communicate with its neighbors, informing about fires, floods, security problems, power consumption expectations, and so on. This article implements one of the three above-referred interrelated control levels: the Operational-level control. This operative platform is structured over a cascade hierarchical control architecture where inner loops are performed by local PLCs (Programmable Logic Controllers), and the outer loop is managed by a centralized SCADA system (Supervisory Control and Data Acquisition) that interacts with the entire PLC network. The lower-level control loop assures high processing velocity tasks, the upper-level control loop updates the local references, knowing the complete system state. This operative model is tested on two prototypes, where all instrumentation in place is controlled by the industrial PLC network. Both prototypes worked perfectly showing the huge potential of communication systems between distributed processes. These communication systems allow intelligent centralized algorithms to manage decision-making problems in real-time environments. The system presented in this article combines several technologies (local PLCs, SCADA systems, and network communications) to reach the goal of efficient management of intelligent buildings. [source]