Aboard current ships, such as the DDG 51, engineering control and damage control activities are manpower intensive. It is anticipated that, for future combatants, the workload demand arising from operation of systems ...
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Aboard current ships, such as the DDG 51, engineering control and damage control activities are manpower intensive. It is anticipated that, for future combatants, the workload demand arising from operation of systems under conditions of normal steaming and during casualty response will need to be markedly reduced via automated monitoring, autonomous control, and other technology initiatives. Current DDG 51 class ships can be considered as a manpower baseline and under Condition III typical engineering control involves seven to eight watchstanders at manned stations in the Central Control Station, the engine rooms and other machinery spaces. In contrast to this manning level, initiatives such as DD 21 and the integrated engineering plant (IEP) envision a partnership between the operator and the automation system, with more and more of the operator's functions being shifted to the automation system as manning levels decrease. This paper describes some human systems integration studies of workload demand reduction and, consequently, manning reduction that can be achieved due to application of several advanced technology concepts. Advanced system concept studies in relation to workload demand are described and reviewed including. Piecemeal applications of diverse automation and remote control technology concepts to selected high driver tasks in current DDG 51 activities. Development of the reduced ship's crew by virtual presence system that will provide automated monitoring and display to operators of machinery health, compartment conditions, and personnel health. The IEP envisions the machinery control system as a provider of resources that are used by various consumers around the ship. Resource needs and consumer priorities are at all times dependent upon the ship's current mission and the availability of equipment pawnbrokers.
This paper describes a neural computation approach to independent component imaging of disease signatures. The novel feature is to separate mixed imagery sources blindly over an informative index subspace. The recover...
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ISBN:
(纸本)078037584X
This paper describes a neural computation approach to independent component imaging of disease signatures. The novel feature is to separate mixed imagery sources blindly over an informative index subspace. The recovery of patterns is achieved by independent component analysis, whose parameters are estimated using the infomax principle. We discuss the theoretic roadmap of the approach, and its applications to the partial volume correction in cDNA microarray expression and the neuro-transporter binding separation in positron emission tomography.
A major trend in recent cluster communication systems is to circumvent the operating system during the actual data transfers. That, on the one hand, reduces latency since there is no user-kernel transition needed and,...
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Differentiated Services (DiffServ), which are currently being standardized in the IETF DiffServ working group, is a solution that can provide different qualities of service to different network users. DiffServ aggrega...
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In a two or three-dimensional image array, the computation of Euclidean distance transform (EDT) is an important task. With the increasing application of 3D voxel images, it is useful to consider the distance transfor...
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We have developed a method for creating a 3D reconstruction of blood flow within the left ventricular (LV) chamber from a set of 2D color flow echocardiographic cine loops. The resulting reconstructions allow a physic...
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We have developed a method for creating a 3D reconstruction of blood flow within the left ventricular (LV) chamber from a set of 2D color flow echocardiographic cine loops. The resulting reconstructions allow a physician to view bloodflow in multiple dimensions, permitting an immediate perception of the dynamic shape, size and direction of the flow structures and patterns in their true nature, without the need for the physician to mentally construct 3D views from a limited number of 2D color flow loops. In addition to their value in qualitative assessment, these 3D reconstructions offer the promise of a more complete quantitative clinical assessment of blood flow based on statistical values derived from these 3D models of flow - as opposed to extrapolated from 2D data, as is done clinically today. The ability to measure LV flow rates and volume is quite important because changes inflow rates and volume may prove critical for analysis of patients with heart failure. These measurements are also keys to understanding the ventricular function. We also have defined an approach for creating a 3D reconstruction of LV blood flow over time - in effect, a 4D model of LV blood flow. We have shown that, in the absence of significant velocity aliasing defects, the models obtained by this technique conform to the conservation of flow. Finally, we note that this study can be used to differentiate between normal dilated cardiomyopathy and reduced ejection fraction, although it offers limited insight into the specific causes of these disorders.
The ability to autonomously generate and execute large angle attitude maneuvers, while operating under a number of celestial and dynamical constraints, is a key factor in the development of several future space platfo...
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In this paper we consider the successful hybridation of a two modern computational schemes, Clustering and Neural Networks, for the Predictive Classification of the future value of insect infestation levels for Integr...
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