Generation of feasible and optimal reference trajectories is crucial in tracking Nonlinear Model Predictive control. Especially, for stability and optimality in presence of a time varying parameter, adaptation of the ...
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The development of the autonomous driving system is still a hot topic. Especially in the area of the interaction between the autonomous driving system and road crossing pedestrians. Recognizing the pedestrian crossing...
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As the voltage and current waveforms are deformed due to transient during faults, their pattern changes according to the type of fault. The Artificial Neural Network (ANN) can then be used for fault detection due to i...
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ISBN:
(纸本)0780386108
As the voltage and current waveforms are deformed due to transient during faults, their pattern changes according to the type of fault. The Artificial Neural Network (ANN) can then be used for fault detection due to its distinguished behavior in pattern recognition. In order to minimize the structure and timing of the ANN, preprocessing of the voltage and current waveforms was done. The data delivered from a simulated power system using PSCAD (EMTP with cad system) was used for training and testing the ANN. An experimental setup, consists of a 3 phase power supply module and transmission line module, is utilized. A set of signal conditioning circuits is designed and implemented in order to transfer data to a PC which is used as an on-line relay for fault detection. This is done via a data acquisition card (CIO-DAS1602/12). The Matlab program captures and processes real data for training the ANN. Applying different types of faults for testing the system, right tripping action was taken and the type of fault was correctly identified. The suggested artificial neural network algorithm has been found simple and effective hence could be implemented in practical application.
The objective of this paper is to put forward an intelligent system to assist and enable potential users who intend to make investment on Micro Electro Mechanical System (MEMS) products. The system functions as a deci...
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ISBN:
(纸本)9781424423279
The objective of this paper is to put forward an intelligent system to assist and enable potential users who intend to make investment on Micro Electro Mechanical System (MEMS) products. The system functions as a decision support system to help users the potentiality of investment in MEMS industry by predicting future sales and profitability based on past knowledge. In this paper work Fuzzy Logic system (FLs) is proposed, as it is conveniently adaptable to solve such problems. Among the many factors that are important for predicting MEMS industry potential, are sales, price, profit, earning, P/E ratio, PEG, P/S ratio. Some of these factors may be related, but some act independently. These factors are combined together into a finalize result. Data Fusion is the process of combining multiple economic factors in order to produce information of tactical value to the user. Briefly, in this project, the behaviour of an intelligent system is simulated by the Fuzzy Logic toolbox. In fact, the output variable and valuation scale is 'investment'. It is fuzzy variable and compared this output rate with actuality.
Consensus based control of multi-agent systems has a widespread applications in many fields. For example, autonomous computing, wireless sensor networks and robotics etc. It has several interesting results for cluster...
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The emerging trend of distributed and renewable energy sources encourages energy trading in the electricity market. Various forms of energy markets are evolving for successful energy trading. The local energy market i...
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The availability of large historical corpora, such as Google Books Ngram, makes it possible to extract various meta information about the evolution of human languages. Together with advances in machine learning techni...
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The analysis and implementation of UDP-based cross-platform data shows that the advantages of UDP protocol are better understood and it's the best places of application. Further, master the knowledge of data trans...
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In-field test of electronic devices is becoming increasingly important due to the wide adoption of electronic systems in safety-critical applications. Hence, it is crucial to devise and deploy effective solutions supp...
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In today's world, large volumes of medical data are being continuously generated, but their value is severely undermined by our inability to translate them into knowledge and, ultimately, actions. Data mining tech...
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