Stochastic generation is expected to take a large share of the energy production in future power systems. Two basic features of this type of generation distinguish it from the traditional centralized, conventional gen...
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Stochastic generation is expected to take a large share of the energy production in future power systems. Two basic features of this type of generation distinguish it from the traditional centralized, conventional generation: it is highly distributed (large number of small-scale generators) and non-dispatchable (use of an uncontrolled prime mover). The incorporation of such power sources in the lower system levels leads to a new horizontal structure of the power system, where the distribution networks contain both uncertain stochastic generation and load. For the analysis of such systems, the use of a probabilistic approach is necessary. There are two basic problems with the probabilistic formulation of this problem: the large number of random variables involved in the analysis and the presence of complex dependencies between the system inputs. In this contribution, a two-step method is presented for the stochastic modeling of the system: first, clusters of positively correlated variables are defined and modeled based on the concepts of perfect correlation (comonotonicity), and then the exact correlations between these clusters are modeled based on a new proposed technique, the joint normal transform methodology. This powerful computational method can be easily applied to large systems with a high number of stochastic generators. The proposed method has been implemented and applied for the 5-bus/7-branch test system (Hale network) with a high penetration of wind generation. The results are presented in the paper
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 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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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".
This paper describes the safe control method on bilateral control system. The control stability in bilateral control under time variance communication delay does not always stand for operation safety. Local controller...
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This paper describes the safe control method on bilateral control system. The control stability in bilateral control under time variance communication delay does not always stand for operation safety. Local controller is needed to secure the safety when communication delay becomes large. A novel method to change over the local controller and global bilateral controller due to communication delay is suggested. At the same time, the stability of global bilateral control is also assured with the conventional stability assurance method. Experimental system that joints manipulators in Slovenia and Japan is constructed. The validity of the suggested method is shown with this experimental system.
Conformations of a single semiflexible polymer chain dissolved in a low molecular weight liquid crystalline solvent (nematogen) are examined by using a mean field theory. We takes into account a stiffness and partial ...
Conformations of a single semiflexible polymer chain dissolved in a low molecular weight liquid crystalline solvent (nematogen) are examined by using a mean field theory. We takes into account a stiffness and partial orientational ordering of the polymer. As a result of an anisotropic coupling between the polymer and nematogen, we predict a discontinuous (or continuous) phase transition from a condensed‐rodlike conformation to a swollen‐one of the polymer chain, depending on the stiffness of the polymer. We also study a single polymer chain confined in a smectic phase.
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