In this paper, we present a distributed locking protocol that enables multiple client nodes to simultaneously write their data to distinct data portions of a file, while providing the consistent view of client cached ...
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In this paper, we present a distributed locking protocol that enables multiple client nodes to simultaneously write their data to distinct data portions of a file, while providing the consistent view of client cached data, and conclude with an evaluation of the performance of our locking protocol on a Linux cluster.
An architecture design of the intelligent agent for speech recognition and translation is presented in this paper. The design involves the agent architecture and the method of the agent is used. The architecture desig...
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An architecture design of the intelligent agent for speech recognition and translation is presented in this paper. The design involves the agent architecture and the method of the agent is used. The architecture design shows the relationship between the intelligent agent and speech recognition also translation. The intelligent agent for speech recognition is called S-AGENT and T-AGENT for translation. The purpose of the S-AGENT is to facilitate for transmitting the speech data via Internet or network. The S-AGENT is acting as a data transmit control to ensure the transmitted speech data is securely delivered. The task of the T-AGENT is different from the S-AGENT. The T-AGENT is acting as information retrieval. It processes the output from the speech recognition and translates the output based on its information memory database. If the information cannot be found on its memory, it searches the information required from the database dictionary provided. At the same time, it learns the information and saves the information to its memory for the future purpose.
作者:
周炳海余传猛奚立峰曹永上School of Mechanical Engineering
Shanghai Jiaotong University Shanghai 200030 School of Mechanical Engineering Shanghai University of Engineering Science Shanghai 200336 School of Mechanical Engineering
Shanghai Jiaotong University Shanghai 200030 School of Mechanical Engineering
Shanghai University of Engineering Science Shanghai 200336o monitor control and manage the work process of computer numerical control machine tools in a flexible manufacturing system (FMS) effectively the distributed numerical coutrol (distributed-NC) software should be innovated with the characteristics of modularization and reconfiguration. In this paper firstly distributed-NC functions in the FMS environment are described. Then we present a design and development method of the real time distributed-NC that is on the basis of the re-coufigurable software and hardware platform and with an object-oriented model concept. Finally to verify the proposed method the distributed-NC software has been implemented in VC++ 6.0 and has been tested in connection with the different physical flexible manufacturing shops.
To monitor, control and manage the work process of computer numerical control machine tools in a flexible manufacturing system (FMS) effectively, the distributed numerical coutrol (distributed-NC) software should be i...
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To monitor, control and manage the work process of computer numerical control machine tools in a flexible manufacturing system (FMS) effectively, the distributed numerical coutrol (distributed-NC) software should be innovated with the characteristics of modularization and reconfiguration. In this paper, firstly, distributed-NC functions in the FMS environment are described. Then, we present a design and development method of the real time distributed-NC that is on the basis of the re-coufigurable software and hardware platform and with an object-oriented model concept. Finally, to verify the proposed method, the distributed-NC software has been implemented in VC++ 6.0 and has been tested in connection with the different physical flexible manufacturing shops.
Some of currently available field programmable gate arrays (FPGAs) can be reconfigured partially, which makes it possible to build up dynamic systems that can be adapted to changing demands during runtime. One basic a...
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Some of currently available field programmable gate arrays (FPGAs) can be reconfigured partially, which makes it possible to build up dynamic systems that can be adapted to changing demands during runtime. One basic aspect of such a system is the way the dynamic hardware modules are placed on the FPGA. As most FPGAs offer partial reconfiguration in a column wise manner, a 1D placement of column wise implemented modules seems to be promising. Within This work we present a design study that determines the effects of a column wise module implementation on the resulting frequency and power consumption.
Adaptive algorithms are increasingly acknowledged in leading parallel and distributed research. In the past, algorithms were manually tuned to be executed efficiently on a particular architecture. However, interest ha...
ISBN:
(纸本)9783540241287
Adaptive algorithms are increasingly acknowledged in leading parallel and distributed research. In the past, algorithms were manually tuned to be executed efficiently on a particular architecture. However, interest has shifted towards algorithms that can adapt themselves to the computational resources. A cost model representing the behavior of the system (i.e. system parameters) and the algorithm (i.e algorithm parameters) plays an important role in adaptive parallel algorithms. In this paper, we contribute a computational model based on Bulk Synchronous Parallel processing that predicts performance of a parallelized split-step Fourier transform. We extracted the system parameters of a cluster (upon which our algorithm was executed) and showed the use of an algorithmic parameter in the model that exhibits optimal behavior. Our model can thus be used for the purpose of self-adaption.
Speech recognition and understanding have been studied for many years. The neural network is well-known as a technique that is able to classify nonlinear problems. Much research has been done in applying neural networ...
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Speech recognition and understanding have been studied for many years. The neural network is well-known as a technique that is able to classify nonlinear problems. Much research has been done in applying neural networks to solving the problem of recognizing speech such as Arabic. Arabic offers a number of challenges to speech recognition. We propose a fully-connected hidden layer between the input and state nodes and the output. We also investigate and show that this hidden layer makes the learning of complex classification tasks more efficient. We also investigate the difference between LPCC (linear predictive cepstrum coefficients) and MFCC (Mel-frequency cepstral coefficients) in the feature extraction process. The aim of the study was to observe the differences in the 29 letters of the Arabic alphabet from "alif" to "ya". The purpose of this research is to upgrade the knowledge and understanding of Arabic alphabet or words using a fully-connected recurrent neural network (FCRNN) and backpropagation through time (BPTT) learning algorithm. Six speakers (a mixture of male and female) in a quiet environment are used in training.
Adaptive algorithms are increasingly acknowledged in leading parallel and distributed research. In the past, algorithms were manually tuned to be executed efficiently on a particular architecture. However, interest ha...
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Until now, many researches based on metadata have been studied for data integration in various fields. However, there exists a problem in that the existing approaches still require much cost to build an initial guidel...
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In this paper we present the structure of the simulator which would allow diving beginners to experience the effect of buoyancy control mechanisms before actually entering the *** believe such training would be less s...
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