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.
In this paper, we present an overview of a system architecture proposed by our team for NASA to use in medical emergencies for long duration space flights or missions at the International Space Station (ISS). We propo...
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The University of Notre Dame has developed a new first year engineeringprogram, and central to that program is a two-course sequence entitled "Introduction to engineering Systems." These courses use a seque...
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The University of Notre Dame has developed a new first year engineeringprogram, and central to that program is a two-course sequence entitled "Introduction to engineering Systems." These courses use a sequence of team-based, multidisciplinary projects to introduce students to the engineering profession and to assist them in developing fundamental problem-solving skills common to all engineering disciplines. This paper describes how these new courses were developed and outlines the learning objectives for the courses. It includes details on the implementation of the courses and the four projects that are central to these two courses. The paper details the ongoing assessment activities and the progress toward achieving the various desired outcomes set-forth for the courses.
We present a variable pricing policy for the dynamic allocation of bandwidth capacity. Simulation studies using different scenarios illustrate the different features of a dynamic and scalable service delivery policy t...
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We present a variable pricing policy for the dynamic allocation of bandwidth capacity. Simulation studies using different scenarios illustrate the different features of a dynamic and scalable service delivery policy that provides an improved level of bandwidth utilization. The recommended policy generates an increased revenue stream without sacrificing quality of service (QoS) demanded by the users. The proposed policy is based on a scalable pricing model that extends previous work done with a concentration on video on demand (VOD) applications. The proposed dynamic resource planning approach encourages the users to request a wider range of bandwidth as a scalable part of the bandwidth resource. Users, in our model, decide what on a desired service start time (t/sub s/) and end time (t/sub e/), and on the low and the high level of bandwidth for an acceptable level of quality. Our results show that, by selecting an appropriate bandwidth allocation policy and a corresponding pricing mechanism, it is possible to maintain specified levels of QoS and achieve increased revenue, reduce the number of blocked users, and improve resource utilization.
This paper presents a novel approach to ultrasound backscatter characterization based on generalized entropy. This approach makes no assumptions about the specific scattering distribution. Low order Renyi and Tsallis ...
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This paper presents a novel approach to ultrasound backscatter characterization based on generalized entropy. This approach makes no assumptions about the specific scattering distribution. Low order Renyi and Tsallis entropies have a higher dynamic range than Shannon entropy over a range of scattering conditions, and are therefore useful in estimating scatterer density and regularity. A neural network estimator is constructed to illustrate the validity of this approach.
Biomedical image registration often requires local elastic matching after initial global alignment. Due to their universal approximation property, neural networks may be used for landmark-based elastic registration. A...
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Biomedical image registration often requires local elastic matching after initial global alignment. Due to their universal approximation property, neural networks may be used for landmark-based elastic registration. A supervised learning approach using backpropagation, Bayesian regularization, Gauss-sigmoid networks, and radial basis function networks is presented for 2D elastic registration.
We present the fuzzy Markov predictor (FMP), a hybrid system that is applied to the task of monthly electric load forecasting. The FMP is a modification we introduce in the hidden Markov model in order to enable it to...
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We present the fuzzy Markov predictor (FMP), a hybrid system that is applied to the task of monthly electric load forecasting. The FMP is a modification we introduce in the hidden Markov model in order to enable it to predict numerical values. The FMP can be seen as an extension of the fuzzy Bayes predictor (FBP) that was modified from the naive Bayes classifier. For verifying the efficiency of the FMP's prediction, we compare it with the FBP, one fuzzy system and two traditional forecasting methods, Box-Jenkins and Winters exponential smoothing.
We propose sink insertion as a new technique to improve the mesh quality of Delaunay triangulations. We compare it with the conventional circumcenter insertion technique under three scheduling regimes: incremental, in...
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In this paper we present a new, adaptive spatial-derivative circuit for CMOS image sensors. The circuit removes its offset as a natural part of its operation using a combination of electron tunneling and hot-electron ...
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In this paper we present a new, adaptive spatial-derivative circuit for CMOS image sensors. The circuit removes its offset as a natural part of its operation using a combination of electron tunneling and hot-electron injection to add or remove charge on a floating-gate of an auto-zeroing amplifier. We designed, fabricated and successfully tested a chip with the circuit. Test results show that the circuit reduces the offsets by more than an order of magnitude.
Bragg gratings fabricated on top of ion exchanged glass waveguides using PECVD-deposited silicon overlays are reported. The resulting Bragg gratings are characterized and transmission dips at 1536 nm in excess of 18 d...
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