Repetitive processes are a distinct class of 2D systems (i.e. information propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension o...
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Repetitive processes are a distinct class of 2D systems (i.e. information propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed 1D here) or 2D systems theory. Here we give the first results on how feedback/feedforward control action can be used to influence one form of controllability for processes with discrete dynamics.
A test structure and method for two-dimensional analysis of hot-carrier-induced photoemission in n-MOSFETs are presented. Photoemission intensity profiles along the gate width direction are analyzed and a method to de...
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Ever more complex sensors have become available to create and maintain situational awareness during missions. Choosing the most suited sensor for the execution of a sensor function is based on sensor capabilities and ...
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Ever more complex sensors have become available to create and maintain situational awareness during missions. Choosing the most suited sensor for the execution of a sensor function is based on sensor capabilities and function attributes. When these characteristics change rapidly, sensor allocation for sensor functions will shift. To increase performance of the entire sensor network, the total set of sensors should be scheduled in a single system. This paper puts forward and compares three new methods for scheduling prioritised tasks in sensor networks. The first is based on fuzzy Lyapunov synthesis. The other two use a genetic algorithm (GA) to optimize the set of schedules. The second scheduler uses this set to (re)train a neural network to be used online. The third approach is a novel online use of the GA. Tests showed that the novel online GA leads to a robust scheduling algorithm with high overall performance.
A test structure and method for two-dimensional analysis of hot-carrier-induced photoemission in n-MOSFETs are presented. Photoemission intensity profiles along the gate width direction are analyzed and a method to de...
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A test structure and method for two-dimensional analysis of hot-carrier-induced photoemission in n-MOSFETs are presented. Photoemission intensity profiles along the gate width direction are analyzed and a method to derive the precise peak position of photoemission intensity from the center of the MOSFET gate is proposed. It can measure the variation of the photoemission peak position along the gate width direction. The peak exists in the LDD region, and the distance from the gate edge is about 20/spl sim/30 nm independent of V/sub G/.
An arbitrary pattern exposure system has been developed by employing a liquid crystal display (LCD) with 1600 × 1200 pixels for the formation of projection images in place of a conventional reticle. The minimum p...
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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 desig...
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Throughout the history of wireless communications, spatially diversity's antenna array system has being important in improving the radio link between wireless users. Moreover, this system are proposed to reduce th...
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Smart antenna, which improves the performance of wireless systems, suppress all interfering signals, and increase the system capacity. The objective of this paper is to provide an analysis of system capacity when usin...
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ISBN:
(纸本)0780379381
Smart antenna, which improves the performance of wireless systems, suppress all interfering signals, and increase the system capacity. The objective of this paper is to provide an analysis of system capacity when using smart antenna with the orthogonal code. A new technique which use orthogonal codes in multiple beams to distinguish multi-user is introduced. The properties of LinkAir communications' large area synchronous (LAS) or smart codes, which are claimed to be fully orthogonal code and are used to combat major interferences, are studied. The effect of spatial multiple beams in an area where density of users is very condense in a cell is also examined. Finally, the system performance in term of system capacity is presented.
作者:
Massa, SilviaTesta, StefaniaDIST
Department of Communication Computer and System Science University of Genoa Genoa Italy DIP
Department of Industrial Engineering University of Genoa Genoa Italy
Traditionally, benchmarking has been described as a practice that promotes imitation. However, according to a more recent approach, this paper suggests that benchmarking, looking outside the firm boundaries and enabli...
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The study on speech recognition and understanding has been done for many years. In this paper, we propose a fully-connected hidden layer between the input and state nodes and the output. Besides that, we also investig...
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ISBN:
(纸本)0780385934
The study on speech recognition and understanding has been done for many years. In this paper, we propose a fully-connected hidden layer between the input and state nodes and the output. Besides that, we also investigate and show that this hidden layer makes the learning of complex classification tasks more efficient. We also investigate difference between LPCC and MFCC in feature extraction process. The aim of the study was to observe the difference of Arabic's alphabet like "alif" until "ya". The purpose of this research is to upgrade the people's knowledge and understanding on Arabic's alphabet or word by using Fully-Connected Recurrent Neural Network (FCRNN) and Backpropagation through Time (BPTT) learning algorithm. 6 speakers (a mixture of male and female) are trained in quiet environment. Neural Network is well-known as a technique that has the ability to classified nonlinear problem. Today, lots of researches have been done in applying Neural Network towards the solution of speech recognition [1] such as Arabic. The Arabic language offers a number of challenges for speech recognition [2]. Even though positive results have been obtained from the continuous study, research on minimizing the error rate is still gaining lots of attention. This research utilizes Recurrent Neural Network, one of Neural Network technique to observe the difference of alphabet "alif" until "ya".
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