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Monitoring Capabilities (monitoring + capability)

Distribution by Scientific Domains

Information Science and Computing	60%

Selected Abstracts

Review and Restore for Case-Base Maintenance

COMPUTATIONAL INTELLIGENCE, Issue 2 2001
Thomas Reinartz
Case-base maintenance is one of the most important issues for current research in case-based reasoning (CBR). In this article we propose an extended six-step CBR cycle and discuss its two additional steps as part of the maintenance phase of the CBR process. The review step covers assessment and monitoring of the knowledge containers, whereas the restore step actually modifies the contents of the containers according to recommendations resulting from the review step in order to keep the knowledge containers in a usable state. Here we focus our attention on the case base. For the review step, we define several quality measures based on different case and case-base properties that describe specific characteristics of the case base such as correctness, consistency, uniqueness, minimality, and incoherence. Then we use these measures to realize monitoring capabilities for the case-base container that indicate when the restore step is necessary. Finally, we also describe several methods for modifications of the case base in the restore step and their relation to the review step. An initial experimental evaluation shows the appropriateness of the proposed concepts and methods before we conclude the article with a discussion of related work and an outline of future directions to extend these aspects of maintenance in CBR. [source]

Reasoning about emotional agents

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, Issue 6 2006
John-Jules Ch.
In this article we discuss the role of emotions in artificial agent design, and the use of logic in reasoning about the emotional or affective states an agent can reside in. We do so by extending the KARO framework for reasoning about rational agents appropriately. In particular, we formalize in this framework how emotions are related to the action monitoring capabilities of an agent. © 2006 Wiley Periodicals, Inc. Int J Int Syst 21: 601,619, 2006. [source]

Pacemaker Memory Data Compared to Twenty-Four-Hour Holter Monitoring in Patients with VVI Pacemakers and Chronic Atrial Fibrillation

ANNALS OF NONINVASIVE ELECTROCARDIOLOGY, Issue 3 2005
Michal Chudzik M.D., Ph.D.
Background: In light of the results from the AFFIRM trial, the "rate control" strategy has become an accepted treatment modality for patients with atrial fibrillation (AF). Establishing effective rate control requires long-term monitoring of the heart rate. The aim of the study was to compare the heart rate and rhythm monitoring capabilities of the pacemaker memory data (PMD) algorithm and traditional twenty-four-hour Holter monitoring. Methods: The study included 55 patients with chronic AF and a permanent VVI pacemaker. The mean and maximum heart rate as well as the percentage of sensed and paced events obtained from the twenty-four-hour Holter were compared with the results retrieved from PMD, started simultaneously. The study was performed over two consecutive days with pacemakers programmed in VVI 40 and 80 bpm mode. Results: Data retrieved from PMD regarding percentage of sensed and paced episodes as well as mean heart rate strongly correlated with data obtained from twenty-four-hour Holter monitoring. The maximum heart rate reported by PMD was significantly higher than that found in the Holter. Conclusions: PMD provides accurate information regarding long-term monitoring of heart rate in patients with AF who have an implanted permanent pacemaker and thus may facilitate optimized drug therapy to achieve rate control of AF. [source]

Application of Visual Analytics for Thermal State Management in Large Data Centres

COMPUTER GRAPHICS FORUM, Issue 6 2010
M. C. Hao
I.3.3 [Computer Graphics]: Picture/Image Generation,Display Algorithms; H.5.0 [Information Systems]: Information Interfaces and Presentation,General Abstract Today's large data centres are the computational hubs of the next generation of IT services. With the advent of dynamic smart cooling and rack level sensing, the need for visual data exploration is growing. If administrators know the rack level thermal state changes and catch problems in real time, energy consumption can be greatly reduced. In this paper, we apply a cell-based spatio-temporal overall view with high-resolution time series to simultaneously analyze complex thermal state changes over time across hundreds of racks. We employ cell-based visualization techniques for trouble shooting and abnormal state detection. These techniques are based on the detection of sensor temperature relations and events to help identify the root causes of problems. In order to optimize the data centre cooling system performance, we derive new non-overlapped scatter plots to visualize the correlations between the temperatures and chiller utilization. All these techniques have been used successfully to monitor various time-critical thermal states in real-world large-scale production data centres and to derive cooling policies. We are starting to embed these visualization techniques into a handheld device to add mobile monitoring capability. [source]

Shipboard Fluid System Diagnostic Indicators Using Non-Intrusive Load Monitoring

NAVAL ENGINEERS JOURNAL, Issue 2 2007
GREGORY R. MITCHELL
Field studies have demonstrated that it is possible to evaluate the state of many shipboard systems by analyzing the electrical power that is drawn by electromechanical actuators. This paper demonstrates how a device known as a non-intrusive load monitor (NILM) uses only electrical power data to detect several critical faults in shipboard fluid systems. Using the example of reverse-osmosis units installed aboard the US Coast Guard's Medium Endurance Cutters, it is shown that the NILM can provide ship's force with a highly reliable real-time system monitoring capability. [source]