This paper presents a rotor position controller for sensorless vector control of permanent magnet synchronous machines (PMSM) based on a synchronous d-q frame phase-locked loop (PLL). Extending the capabilities of PLL...
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A family of binary sequences is presented and proved to have optimal correlations and large linear span. It includes the small set of Kasami sequences, No sequence set and TN sequence set as special cases. A lower bou...
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The aim of this paper is to analyze the behavior of a sensorless control system based on a high-frequency signal injection combined with an inset PM motor. The rotor position of a synchronous permanent magnet (PM) mot...
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The aim of this paper is to analyze the behavior of a sensorless control system based on a high-frequency signal injection combined with an inset PM motor. The rotor position of a synchronous permanent magnet (PM) motor with anisotropic rotor can be detected by the control system which superimposes a high-frequency signal to the steady-state stator voltage. The corresponding high-frequency current is modulated by the rotor anisotropy and used to determine the rotor position. These techniques are effective at zero and at low motor speed. Both saturation and cross-coupling have a heavy influence on the correct rotor position detection. In order to highlight the effectiveness of the sensorless technique, the tests are carried out at various operating conditions
Reliability evaluation of power distribution system is very important to both power utilities and customers. It presents the probabilistic number and duration of interruption such as failure rate, SAIDI, SAIFI, and CA...
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Reliability evaluation of power distribution system is very important to both power utilities and customers. It presents the probabilistic number and duration of interruption such as failure rate, SAIDI, SAIFI, and CAIDI. However, it has a fatal weakness at reliability index because of accuracy of failure rate. In this paper, the time-varying failure rate (TFR) of power distribution system equipment is extracted from the recorded failure data of Korea Electric Power Corporation (KEPCO) in Korea. For TFR extraction, it is used that the fault data accumulated by KEPCO during 10 years. The TFR is approximated to bathtub curve using the exponential (random failure) and Weibull (aging failure) distribution function. In addition, Kaplan-Meier estimation is applied to TFR extraction because of incomplete failure data of KEPCO. Finally, probability plot and regression analysis is applied. It is presented that the extracted TFR is more effective and useful than mean failure rate (MFR) through the comparison between TFR and MFR
This paper presents an approach to resolve the problem of authoring and interchanging educational material, based on web services. Here we describe the ultimate goal, of reusing and interchanging freely adaptive eleam...
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This paper first gives a brief literature review about relevant technology, including sate-of-the-art surgical robotics, state-of-the-art image-guided neurosurgery and applications, and internet-based robotics. The ar...
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This paper first gives a brief literature review about relevant technology, including sate-of-the-art surgical robotics, state-of-the-art image-guided neurosurgery and applications, and internet-based robotics. The architecture of the proposed tele-robotic skull drill system is presented in the paper, including the client/server control architecture for the telerobotic skull drill system, the mechanical interface between robotic arm and the skull drill, and control system for the telerobotic skull drill system. Trajectory planning for this telerobotic system is also given in the paper, including three phases, free motion position trajectory planning, free motion orientation trajectory planning, and position trajectory planning under constraints. Finally, the experiment is concluded in the paper.
The potential of brain-computer interfaces (BCI) in serving a useful purpose, e.g., supporting communication in paralyzed patients, hinges on the quality of the classification of the brain waves. This paper proposes a...
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The potential of brain-computer interfaces (BCI) in serving a useful purpose, e.g., supporting communication in paralyzed patients, hinges on the quality of the classification of the brain waves. This paper proposes a novel method to construct a classifier with improved generalization performance. A feature selection method is applied to features calculated from the EEG signals so that unnecessary or redundant features can be removed and only effective features are left for the classification task. Kernel support vector machines (kernel SVM) were used as a classifier and the best combinations of features were searched by backward stepwise selection, i.e., by eliminating unnecessary features one by one, and by evaluating the resulting generalization performance through cross validation. Experiments showed that the generalization performance of the classifier constructed from the best set of features was higher than that of the classifier using all features.
Creating a good quality Adaptive Educational Hypermedia (AEH) system involves a great expenditure of time, effort and money, especially to author the materials in order to implement adaptivity. Moreover, authoring AEH...
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ISBN:
(纸本)1595934537
Creating a good quality Adaptive Educational Hypermedia (AEH) system involves a great expenditure of time, effort and money, especially to author the materials in order to implement adaptivity. Moreover, authoring AEH systems is as hard as maintaining them. Furthermore, with the new advances in AEH development, the authored content in a given system can become outdated very rapidly. When the massive overhead in authoring is combined with the possibility of the current AEH system becoming unavailable due to lack of maintenance, providing interoperability of adaptive systems becomes necessary. This paper describes our research on providing interoperability of user models between different AEH systems via a one-to-one conversion between two AEH systems, MOT and WHURLE. Here, we identify the differences and commonalities and address how these influence the efficiency of the conversion of the two systems' user models. Although this conversion is done via simple peer-to-peer interaction, it can be easily extended to make use of semantic web technologies, as for example RDF or XML conversion formats, or web services for user model exchange. Therefore, we consider that our work on feature extractions sets the basis for such conversions for the Web and Semantic Web. Copyright 2006 ACM.
This paper presents an approach to resolve the problem of authoring and interchanging educational material, based on Web services. Here we describe the ultimate goal, of reusing and interchanging freely adaptive e-lea...
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This paper presents an approach to resolve the problem of authoring and interchanging educational material, based on Web services. Here we describe the ultimate goal, of reusing and interchanging freely adaptive e-learning material, shortly sketch previous solutions, showing their benefits but also limitations and then introduce our Web-service based approach. Finally, we discuss the gains brought by our proposed solution
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