Opens in BICMOS structures are analyzed here. It is shown that some opens cannot be detected by stuck-fault or other functional tests, since some transistors in BiCMOS gates do not affect the logical function of the g...
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Opens in BICMOS structures are analyzed here. It is shown that some opens cannot be detected by stuck-fault or other functional tests, since some transistors in BiCMOS gates do not affect the logical function of the gate. A switch-level model for CMOS circuits is extended to include bipolar devices. With this switch-level model, opens that cannot be detected by stuck-faults or other functional tests are easily identified. It is also shown that, in BICMOS circuits, an open defect in one transistor can accelerate the wearout of another nondefective transistor.
Iterative least-squares estimation requires accurate reflectance models to retrieve geometrical parameters of 3-D objects from an image projection. We investigate the use of separating the diffuse (body) reflection fr...
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Iterative least-squares estimation requires accurate reflectance models to retrieve geometrical parameters of 3-D objects from an image projection. We investigate the use of separating the diffuse (body) reflection from the specular (surface) reflection, where the latter is responsible for image highlights. The performance of several models has been analysed by comparing local higher-order derivatives of the least-squares error function. Experiments show that the (smooth) diffuse component yields the best convergence properties, while the (sharp) specular component cast be utilized to improve noise insensitivity.
Large-scale data storage systems rely on magnetic tape cartridges to store millions of data objects. As these tapes age, the resident data objects become invalid; consequently, less and less of the tape potential capa...
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Large-scale data storage systems rely on magnetic tape cartridges to store millions of data objects. As these tapes age, the resident data objects become invalid; consequently, less and less of the tape potential capacity is effectively utilized. To address this problem, data storage systems have a facility, called "recycle" in this paper, that transfers valid data objects from sparsely populated tapes onto new tapes, thus creating empty tapes for reuse. A high performance recycle process is needed to keep the number of tape cartridges to a minimum, and to maintain a continuous supply of empty tapes for storing newly created data objects. The performance of such processes is not easy to determine, and depends strongly on the data stored on the tapes, the speed and characteristics of the computer on which recycle is executed, and the nature of the algorithms themselves. This paper documents an extensive effort to evaluate a proposed recycle algorithm, using held workload data, laboratorymeasurements, and modeling. The results of the study were used to improve the recycle process, and were later verified through field trials. In addition yielding the results themselves, the effort illustrated that modeling and measurement, in an industrial setting, can indeed be used successfully in the design process.< >
This paper describes the implementation of transmission-line matrix (TLM) method algorithms on a massively parallel computer (DECmpp 12000), the technique of distributed computing in the UNIX environment, and the comb...
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This paper describes the implementation of transmission-line matrix (TLM) method algorithms on a massively parallel computer (DECmpp 12000), the technique of distributed computing in the UNIX environment, and the combination of TLM analysis with Prony's method as well as with autoregressive moving average (ARMA) digital signal processing for electromagnetic field modelling. By combining these advanced computation techniques, typical electromagnetic field modelling of microwave structures by TLM analysis can be accelerated by a few orders of magnitude.
We describe a programming environment which is being developed for the automatic generation of parallel image processing applications. Through the use of model-based software synthesis, we transparently create large g...
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We describe a programming environment which is being developed for the automatic generation of parallel image processing applications. Through the use of model-based software synthesis, we transparently create large grained data parallel applications which can be executed on arbitrary processor networks. The high-level abstractions provided by the modeling paradigm isolates the user from the complexity of the underlying implementation, allowing developers with little or no experience in parallel programming to rapidly create parallel applications. The data parallel modeling facilities perform the same tasks as the data alignment and distribution compiler directives of High Performance Fortran and the aggregate objects of pC++. However, we have found that by introducing the parallelism on the system level, instead of in the algorithm, we can use traditional compilers and leave the application specific code unchanged. This allows us to take advantage of existing well developed image processing code libraries. Here we describe a system which generates data parallel versions of applications created in Khoros, the popular image processing package developed by the University of New Mexico. This system retains the best qualities of Khoros: its interactive and experimental nature, and its visual interface, but adds the capability for automatically generating much higher performance parallel implementations when needed. This system demonstrate the suitability of the model-based approach for developing parallel imaging software.< >
This paper introduces an analytic method to determine the sensitivity to random parameter variations of analog VLSI neural network architectures for linear image filtering. The authors compare the robustness of severa...
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This paper introduces an analytic method to determine the sensitivity to random parameter variations of analog VLSI neural network architectures for linear image filtering. The authors compare the robustness of several different circuit architectures for low pass filtering. This method can also determine which components within a particular architecture should specified the most precisely.< >
A two-layer continuous-time cellular neural network for finding the Radon transform of a binary image is presented. The functionality of this cellular neural network follows from the functionality of the connected com...
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A two-layer continuous-time cellular neural network for finding the Radon transform of a binary image is presented. The functionality of this cellular neural network follows from the functionality of the connected component detector cellular neural network.
We analyze the temperature dependence and material properties of InGaAsP/lnP quarter wave mirrors used in optoelectronic devices such as surface emitting lasers and resonant cavity photodetectors. We measure the varia...
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The programmability (as a stored program) of the CNN Universal Machine is discussed first. It is shown why and in which sense this machine is universal. A new type of algorithm, the analogic one, is introduced. The ap...
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