Geo-ontologies have a key role to play in the development of the geo-semantic Web, with regard to facilitating the search for geographical information and resources. They normally hold large amounts of geographic info...
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Geo-ontologies have a key role to play in the development of the geo-semantic Web, with regard to facilitating the search for geographical information and resources. They normally hold large amounts of geographic information and undergo a continuous process of revision and update to ensure their currency. Hence, means of ensuring their integrity are crucial and needed to allow them to serve their purpose. This paper proposes the use of qualitative spatial reasoning as a tool to support the development of a geo-ontology management system. Spatial integrity rules based on uniform and hybrid spatial reasoning are proposed for the automatic derivation of spatial relationships and for maintaining the spatial consistency of the geographic data. A framework for the representation of and reasoning over geo-ontologies is presented using the Web ontology language OWL and its associated reasoning tools. Spatial reasoning and integrity rules are represented using a spatial rule engine extension to the reasoning tools associated with OWL. To demonstrate the proposed approach, a case study showing a prototype geo-ontology and the implementation of the spatial reasoning engine is presented. This work is a step towards the realisation of a complete geo-ontology management system for the semantic Web
The majority of healthcare workers in hospitals continue to record, access and update important patient information using paper charts. Disparate patient data (clinical information, laboratory results and medical imag...
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The majority of healthcare workers in hospitals continue to record, access and update important patient information using paper charts. Disparate patient data (clinical information, laboratory results and medical imagery) is entered by different caregivers and stored at different locations around the hospital. This is a cumbersome, time consuming process that can result in critical medical errors such as documents being mislaid or prescriptions being misinterpreted due to illegible handwriting. Hospitals everywhere are moving to integrate health data sources using electronic health record (EHR) systems as well as taking advantage of the flexibility and speed of wireless computing to improve the quality and reduce the cost of healthcare. We are developing a mobile application that allows doctors to efficiently access accurate real-time patient information at the point-of-care. The system can assist caregivers in automatically searching through very large repositories of previous patient cases as increasingly large hospital databases are making manual searches of such information unfeasible. The system performs computational prognosis by providing decision support for pre-screening of medical diagnosis. A presenting patient's symptoms can be input to a portable device and the application can quickly retrieve the most similar profiles with known diagnoses from large databases which can be used to compare treatments, diagnosis, test results and other information
We have previously used Markov models to describe movements of patients between hospital states; these may be actual or virtual and described by a phase-type distribution. Here we extend this approach to a Markov rewa...
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We have previously used Markov models to describe movements of patients between hospital states; these may be actual or virtual and described by a phase-type distribution. Here we extend this approach to a Markov reward model for a healthcare system with constant size. This corresponds to a situation where there is a waiting list of patients so that the total number of in-patients remains at a constant level and all admissions are from the waiting list. The distribution of costs is evaluated for any time and expressions derived for the mean cost The approach is then illustrated by determining average cost at any time for a hospital system with two states: acute/rehabilitative and long-stay. In addition, we develop a Markov model to determine patient numbers and costs at any time where, again, there is a waiting list, so admissions are taken from this list, but we now allow a fixed growth which declines to zero as time tends to infinity. As before, the length of stay is described by a phase-type distribution, thus enabling the representation of durations and costs in each phase within a Markov framework. As an illustration, the model is used to determine costs over time for a four phase model, previously fitted to data for geriatric patients. Such an approach can be used to determine the number of patients and costs in each phase of hospital care thus facilitating an intelligent and systematic approach to the planning of healthcare and optimal use of scarce resources
Adjustable speed drives (ASD) are the most common source of harmonics in power distribution systems reducing the power quality. The fewer harmonics injected the better the ASD is; this consideration could be used to c...
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Adjustable speed drives (ASD) are the most common source of harmonics in power distribution systems reducing the power quality. The fewer harmonics injected the better the ASD is; this consideration could be used to choose a good ASD among several possibilities in the market. Even more, there is also an increasing need to check for compliance with ieee 519. Because of this distortion, the electric quantities are difficult to measure. Harmonic or power quality analyzers are expensive equipments for small industries. The test bench proposed is based on a LabView dataacquisition system together with a MatLab FFT program calculation. Hall effect current sensors and transformers used as voltage sensors produce the basic signals to, after conditioning, measure the harmonics at the point of common coupling (PCC). Digital signal-processing techniques produce evaluation data and graphics displayed at the front panel of a virtual instrument (VI). A commercial 1 hp ASD was tested with this VI and the results are reported within
it is suggested to use correlation models in intellectual microprocessor systems for diagnostics and control of processes and state of equipment in power networks..
ISBN:
(纸本)9780780394452
it is suggested to use correlation models in intellectual microprocessor systems for diagnostics and control of processes and state of equipment in power networks..
In this paper basic principles of construction of genetic algorithms of structural identification of interval models of the static systems are formulated on the basis of experimental data. A new criterion Of selection...
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ISBN:
(纸本)9780780394452
In this paper basic principles of construction of genetic algorithms of structural identification of interval models of the static systems are formulated on the basis of experimental data. A new criterion Of selection of models that is offered is the modified criterion of completeness for the case of the known experimental data.
The development and capabilities of closed circuit television surveillance systems in association with distributed computingsystems are reviewed, and the applications to various aspects of surveillance are described.
ISBN:
(纸本)9780780394452
The development and capabilities of closed circuit television surveillance systems in association with distributed computingsystems are reviewed, and the applications to various aspects of surveillance are described.
The paper presents research on a methodology of design Measuring systems (MS) with time limitated data flow. A new method of describing MS model based on Petri Nets is proposed in the paper. The paper provides an over...
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ISBN:
(纸本)9780780394452
The paper presents research on a methodology of design Measuring systems (MS) with time limitated data flow. A new method of describing MS model based on Petri Nets is proposed in the paper. The paper provides an overall description of informal and formal methods, which can be used while designing systems.
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