Existing software allows the development of high quality interactive applications that permit their implementation in laboratories, both virtual and remote. To perform an experiment, the user needs to know how these a...
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Laboratory experimentation plays an essential role in control education. To reduce the high costs of maintaining apparatus in traditional labs and to support distance and blended learning, online laboratories are used...
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Peer-assessment can be used to evaluate the knowledge level achieved by learners, while exposing them to a significant leaning activity at the same time. Here we see an approach to semi-automatic grading of school wor...
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We propose a comprehensive framework to support the personalization and adaptivity of courses in e-learning environments where the traditional activity of individual study is augmented by social-collaborative and grou...
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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.
In this paper we build on previous work exploring a formal way to assess the composition of learning groups. We start from our existing framework, designed to provide support to personalization in e-learning environme...
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Fault monitoring and diagnostics are important to ensure reliability of electric motors. Efficient algorithms for fault detection improve reliability, yet development of cost-effective and reliable classifiers for dia...
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The paper analyzes optimization strategies for Multiprotocol Label Switching (MPLS) Traffic Engineering in three different areas: Quality of Service awareness, network awareness and the design of routing algorithms. R...
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The paper analyzes optimization strategies for Multiprotocol Label Switching (MPLS) Traffic Engineering in three different areas: Quality of Service awareness, network awareness and the design of routing algorithms. Recent developments in MPLS technology are discussed while identifying the main balancing possibilities within and between the three areas.
Structures with inverse model represent one of the successful solutions for the real-time control of the nonlinear processes. The use of these structures imposes solving some specific problems, like determination of s...
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Structures with inverse model represent one of the successful solutions for the real-time control of the nonlinear processes. The use of these structures imposes solving some specific problems, like determination of static characteristic of the process, construction of inverse model or robust control law design. The paper proposes a structure and the correspondent original methodology of designing and physically implementation based on inverse model command. The applicability of the structure is proved using a real-time structure with an RST control algorithm. In the end, its software implementation and the obtained results are also shown.
Blockchain (BC)-driven applications ensure trust and transparency among multiple stakeholders through different consensus mechanisms. In consensus mechanisms, a dishonest node (or application), might collude with peer...
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