Printed circuit board layout inspection methods are mostly based on local geometric information, therefore they are well suited to the cellular neural networks (CNN) paradigm. The wire break, the wire and isolation wi...
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Printed circuit board layout inspection methods are mostly based on local geometric information, therefore they are well suited to the cellular neural networks (CNN) paradigm. The wire break, the wire and isolation width violation and an "H" type short circuits detector analogic algorithms were tested on a 20*22 CNN Universal Machine (CNNUM) chip working in the CNN Chip Prototyping system (CCPS) and on the CNN Engine Board (CNNEB), and the results were compared to the commercially available inspection systems.
The selected aspects of design methodology of a telemetric system for monitoring civil engineering constructions-using fiber-optic strain sensors-are considered. A particular attention is paid to the design decisions ...
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The selected aspects of design methodology of a telemetric system for monitoring civil engineering constructions-using fiber-optic strain sensors-are considered. A particular attention is paid to the design decisions concerning the choice of a method for sensor calibration and measurand reconstruction, resulting requirements for computing power and their consequence on the distribution of data processing in the considered telemetric system. The results of this study may be applied for designing a specific telemetric system with fiber-optic sensors of strain.
Electrophoretic analyses of acid extracts from mature sperm of newt, Cynops pyrrhogaster, on acid/urea/Triton X-100 polyacrylamide gel showed the exclusive occurrence of sperm-specific nuclear basic proteins (SBPs), w...
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This paper presents a strategy to formulate 3D structure hypotheses without a-priori knowledge about the objects represented in the scene. The shape of 2D structures that have a high probability of belonging to the vi...
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This paper presents a strategy to formulate 3D structure hypotheses without a-priori knowledge about the objects represented in the scene. The shape of 2D structures that have a high probability of belonging to the visible faces of objects is used to formulate hypotheses about the face orientation and 3D geometrical grouping of these structures is used to reconstruct the objects.
This paper is concerned with an application of a digital adaptive control system to a servo mechanism. Mechanical systems in general include nonlinearities and additional uncertainties and which result from inertia an...
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This paper is concerned with an application of a digital adaptive control system to a servo mechanism. Mechanical systems in general include nonlinearities and additional uncertainties and which result from inertia and friction. So it is difficult to ensure robust performance and high accuracy for motion control. The digital adaptive control system presented here is considered to overcome the above stated problem. Experimental results from a feed drive system demonstrate the effectiveness of the proposed control scheme.
A digital filter is one of the fundamental elements in the digital video transmission, and a multiplier acts as the key factor that determines the operation speed and silicon area of the filter. Even though the coeffi...
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A digital filter is one of the fundamental elements in the digital video transmission, and a multiplier acts as the key factor that determines the operation speed and silicon area of the filter. Even though the coefficients to the filter are desired to be programmable, it is possible to change coefficients in the vertical fly-back interval of television receivers. This allows the preloadability of coefficients to the filter such that each coefficient can be treated as a constant during the filtering operation. Motivated by such functionalities, a novel multiplier together with an FIR filter architecture is described, which has been designed by means of a 0.5 /spl mu/m double metal CMOS technology.
作者:
Eero LassilaDigital Systems Laboratory
Department of Computer Science and Engineering Helsinki University of Technology P.O. Box 1100 FIN-02015 HUT Finland
The study is based on two assumptions: 1) the child is an active, goal-oriented participant in his or her own development; and 2) physical manipulation of objects is a major contributing factor in the development of c...
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The study is based on two assumptions: 1) the child is an active, goal-oriented participant in his or her own development; and 2) physical manipulation of objects is a major contributing factor in the development of cognitive and language skills in a very young child. The CRS robot arm system is used in our study. All the functions are under the control of a computer based software control algorithm. The training program uses either the teach pedant or a series of text commands to train the arm. With the teach pedant, the operator can move the arm in desired directions by pressing the button on the teach pedant. In the text training mode, the arm moves according to the command set predefined. Another important aspect of the project is how to set up the interface and communication environment between the young children and the robot arm. The final program lets the child to accomplish a series of processing complex tasks through simple operation of certain buttons. The programmed activities have a development sequence, which eventually brings the robot arm under the control of the child; at the same time it facilitates the learning process of the child.
This correspondence presents a speech recognition system of speaker-independent Thai polysyllabic words. This development is based on the discrete hidden Markov model in conjunction with vector quantization algorithm,...
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This correspondence presents a speech recognition system of speaker-independent Thai polysyllabic words. This development is based on the discrete hidden Markov model in conjunction with vector quantization algorithm, endpoint detection algorithm for syllable endpoint detection and separation, and time normalization algorithm. The 70-Thai word vocabulary is subdivided into four sets comprising single, double, and triple syllabled words, 20 words in each set, and the last set consists of 10-Thai numeric words, zero to nine. The separated speech training set and testing set are composed of both male and female speakers within the range of 18 to 25 years old. For the tonal characteristics of the Thai language, the algorithms and the model parameters are modified in order to be applicable to the Thai language. The experiments on the effects of model parameter variations on recognition rate are conducted. The model parameters are number of codebooks, number of model states, and number of training speakers. The results show that the increase in the number of codebook and the number of model states have the major effect on the recognition rates. Also, the number of training speakers has less effect than the others. The average recognition rate of this speaker-independent recognition system is 89.906 percent for 40 speakers testing set using 256 vector codebook of 10-order linear prediction coefficients and 15-state model parameters. The recognition rate of the four sets of words are 86.750 percent for single-syllabled words, 92.375 percent for double-syllabled words, 96.250 percent for triple-syllabled words, and 84.250 percent for the numeric words.
It is increasingly important to structure signal processing algorithms and systems to allow for trading off between the accuracy of results and the utilization of resources in their implementation. In any particular c...
It is increasingly important to structure signal processing algorithms and systems to allow for trading off between the accuracy of results and the utilization of resources in their implementation. In any particular context, there are typically a variety of heuristic approaches to managing these tradeoffs. One of the objectives of this paper is to suggest that there is the potential for developing a more formal approach, including utilizing current research in computer Science on Approximate Processing and one of its central concepts, Incremental Refinement. Toward this end, we first summarize a number of ideas and approaches to approximate processing as currently being formulated in the computer science community. We then present four examples of signal processing algorithms/systems that are structured with these goals in mind. These examples may be viewed as partial inroads toward the ultimate objective of developing, within the context of signal processing design and implementation, a more general and rigorous framework for utilizing and expanding upon approximate processing concepts and methodologies.
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