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Rule Set (rule + set)

Distribution by Scientific Domains

Information Science and Computing	60%

Selected Abstracts

Fuzzy torque distribution control for a parallel hybrid vehicle

EXPERT SYSTEMS, Issue 1 2002
Jong-Seob Won
A fuzzy torque distribution controller for energy management (and emission control) of a parallel hybrid electric vehicle is proposed. The proposed controller is implemented in terms of a hierarchical architecture which incorporates the mode of operation of the vehicle as well as empirical knowledge of energy flow in each mode. Moreover, the rule set for each mode of operation of the vehicle is designed in view of an overall energy management strategy that ranges from maximal emphasis on battery charge sustenance to complete reliance on the electrical power source. The proposed control system is evaluated via computational simulations under the FTP75 urban drive cycle. Simulation results reveal that the proposed fuzzy torque distribution strategy is effective over the entire operating range of the vehicle in terms of performance, fuel economy and emissions. [source]

Incremental learning of collaborative classifier agents with new class acquisition: An incremental genetic algorithm approach

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, Issue 11 2003
Sheng-Uei Guan
A number of soft computing approaches such as neural networks, evolutionary algorithms, and fuzzy logic have been widely used for classifier agents to adaptively evolve solutions on classification problems. However, most work in the literature focuses on the learning ability of the individual classifier agent. This article explores incremental, collaborative learning in a multiagent environment. We use the genetic algorithm (GA) and incremental GA (IGA) as the main techniques to evolve the rule set for classification and apply new class acquisition as a typical example to illustrate the incremental, collaborative learning capability of classifier agents. Benchmark data sets are used to evaluate proposed approaches. The results show that GA and IGA can be used successfully for collaborative learning among classifier agents. © 2003 Wiley Periodicals, Inc. [source]

Using hospital administrative data to evaluate the knowledge-to-action gap in pressure ulcer preventive care

JOURNAL OF EVALUATION IN CLINICAL PRACTICE, Issue 2 2009
Pieter Van Herck Msc RN
Abstract Rationale, aims and objectives, Issues of overuse, underuse and misuse are paramount and lead to avoidable morbidity and mortality. Although evidence-based practice is advocated, the widespread implementation of this kind of practice remains a challenge. This is also the case for evidence-based practice related to the prevention of pressure ulcers, which varies widely in process and outcome in Belgian hospital care. One major obstacle to bridging this knowledge-to-action gap is data availability. We propose using large-scale hospital administrative data combined with the latest evidence-based methods as part of the solution to this problem. Method, To test our proposal, we applied this approach to pressure ulcer prevention, using an administrative dataset with regard to 6030 patients in 22 Belgian hospitals as a sample of nationally available data. Methods include a systematic review approach, evidence grading, recommendations formulation, algorithm construction, programming of the rule set and application on the database. Results, We found that Belgian hospitals frequently failed to provide appropriate prevention care. Significant levels of underuse, up to 28.4% in pressure ulcer prevention education and 17.5% in the use of dynamic systems mattresses, were detected. Figures for overuse were mostly not significant. Misuse couldn't be assessed. Conclusions, These results demonstrate that this approach can indeed be successfully used to bridge the knowledge-to-action gap in medical practice, by implementing an innovative method to assess underuse and overuse in hospital care. The integrative use of administrative data and clinical applications should be replicated in other patient groups, other datasets and other countries. [source]

Concepts for computer center power management

CONCURRENCY AND COMPUTATION: PRACTICE & EXPERIENCE, Issue 2 2010
A. DiRienzo
Abstract Electrical power usage contributes significantly to the operational costs of large computer systems. At the Hypersonic Missile Technology Research and Operations Center (HMT-ROC) our system usage patterns provide a significant opportunity to reduce operating costs since there are a small number of dedicated users. The relatively predictable nature of our usage patterns allows for the scheduling of computational resource availability. We take advantage of this predictability to shut down systems during periods of low usage to reduce power consumption. With interconnected computer cluster systems, reducing the number of online nodes is more than a simple matter of throwing the power switch on a portion of the cluster. The paper discusses these issues and an approach for power reduction strategies for a computational system with a heterogeneous system mix that includes a large (1560-node) Apple Xserve PowerPC supercluster. In practice, the average load on computer systems may be much less than the peak load although the infrastructure supporting the operation of large computer systems in a computer or data center must still be designed with the peak loads in mind. Given that a significant portion of the time, systems loads can be less than full peak, an opportunity exists for cost savings if idle systems can be dynamically throttled back, slept, or shut off entirely. The paper describes two separate strategies that meet the requirements for both power conservation and system availability at HMT-ROC. The first approach, for legacy systems, is not much more than a brute force approach to power management which we call Time-Driven System Management (TDSM). The second approach, which we call Dynamic-Loading System Management (DLSM), is applicable to more current systems with ,Wake-on-LAN' capability and takes a more granular approach to the management of system resources. The paper details the rule sets that we have developed and implemented in the two approaches to system power management and discusses some results with these approaches. Copyright © 2009 John Wiley & Sons, Ltd. [source]

Ontology-enabled validation of connectivity relationships in a home theater system

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, Issue 10 2006
Mark Austin
This article describes a vision for team-based synthesis of engineering systems, enhanced by technologies for ontology-based computing, cast in a Semantic Web framework. Our long-term research objective is to fully understand the extent to which relationships and constraints in ontology-based descriptions of problem domains, working together with description logic reasoning engines, can influence and improve system-level design procedures, particularly in the early stages of development where errors may have a significant long-term impact, but if detected early are cheap to correct. As a first step, we develop a port,jack ontology for a home theater system and exercise rule sets for combinations of correct/incorrect connectivity. The model checking procedure begins with the formulation of a port,jack ontology that will describe allowable constraining relationships in the port and jack connectivity. Allowable types of connections are expressed in the form of domain restrictions. © 2006 Wiley Periodicals, Inc. Int J Int Syst 21: 1111,1125, 2006. [source]