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.
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.
Combined with antenna diversity, space-time coding is an attractive candidate for high-rate transmission systems such as orthogonal frequency division multiplexing (OFDM) systems. In this paper, we propose space-time ...
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Combined with antenna diversity, space-time coding is an attractive candidate for high-rate transmission systems such as orthogonal frequency division multiplexing (OFDM) systems. In this paper, we propose space-time block coded OFDM systems that use training symbols coded by STBC. We use two training symbols at the beginning of each of two OFDM frames that are simultaneously transmitted from two corresponding transmit antennas. Based on the orthogonality of space-time block codes, we perform channel estimation by using training symbols, and compare to EM-based channel estimation methods. From the simulation results, we observe that our space-time block coding technique offers a good approach to channel estimation and better signal quality than the EM-based method.
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.
The juxtaposition of computation and biology opens up a new world of science and technology. Richard Feynman characterizes the young and fast-developing world of computer science as follows: "[it] is like enginee...
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The juxtaposition of computation and biology opens up a new world of science and technology. Richard Feynman characterizes the young and fast-developing world of computer science as follows: "[it] is like engineering-it is all about getting something to do something."1 Viewed from this perspective, the scope of research and development at this intersection is a vast, two-way street that computer science has to offer to biological science and biotechnology and vice versa. Computational thinking helps characterize, predict, and influence the dynamics of biological processes from molecular to cellular to organ in a way that revolutionizes our understanding of health and drug design. In turn, understanding the architecture and principles of natural biological processes and organization might require new models of computation, which could lead to robustness in the design of large-scale software and hardware systems, a hitherto elusive goal.
Robotic industrial applications are very well established in the manufacturing industry, while they are relatively in their infancy phase in the construction sector. The need for automation in construction is clear es...
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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 ...
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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.
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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The effects of exercise, nutrition, and aging on the development of human skeletal muscles can be observed from the morphological changes of the Z-band under the electron microscope. Quantification of the Z-band damag...
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