• 제어로봇시스템학회논문지
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• 제12권9호
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• pp.935-944
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• 2006

EMG pattern recognition is essential for the control of a multifunction myoelectric hand. The main goal of this study is to develop an efficient feature projection method for EMC pattern recognition. To this end, we propose a linear supervised feature projection that utilizes linear discriminant analysis (LDA). We first perform wavelet packet transform (WPT) to extract the feature vector from four channel EMC signals. For dimensionality reduction and clustering of the WPT features, the LDA incorporates class information into the learning procedure, and finds a linear matrix to maximize the class separability for the projected features. Finally, the multilayer perceptron classifies the LDA-reduced features into nine hand motions. To evaluate the performance of LDA for the WPT features, we compare LDA with three other feature projection methods. From a visualization and quantitative comparison, we show that LDA has better performance for the class separability, and the LDA-projected features improve the classification accuracy with a short processing time. We implemented a real-time pattern recognition system for a multifunction myoelectric hand. In experiment, we show that the proposed method achieves 97.2% recognition accuracy, and that all processes, including the generation of control commands for myoelectric hand, are completed within 97 msec. These results confirm that our method is applicable to real-time EMG pattern recognition far myoelectric hand control.

• 한국정보통신학회논문지
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• 제3권1호
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• pp.235-244
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• 1999

본 논문에서는 새로운 동적 컴팩션(dynamic compaction) 알고리즘을 제안하고 이용하여 CMOS 디지털 회로의 IDDQ 테스트패턴 생성한다. 제안된 알고리즘은 프리미티브 게이트 내부에서 발생하는 GOS, 브리징 고장을 검출할 수 있는 프리미티브 고장패턴을 이용하여 초기 테스트패턴을 구하고, 초기 테스트패턴에 있을 수 있는 don't care(X)의 수를 줄여 테스트 패턴의 수를 감소시킨다. 그리고 난수와 4 가지 제어도(controllability)를 사용하여 백트레이스를 수행시키는 방법을 제안한다. ISCAS-85 벤치마크 회로를 사용하여 모의 실험한 결과 큰 회로에서 기존의 정적 컴팩션 알고리즘에 비하여 45% 이상 테스트패턴 수가 감소함을 확인하였다.

• 한국산학기술학회논문지
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• 제6권5호
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• pp.432-438
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• 2005

본 논문에서는 반도체 제조를 위한 AC 서보 모터의 고정도 위치 제어에 관하여 연구하였다. 제어기는 150 MIPS의 고속 처리가 가능한 Tl사의 차세대 모터 제어용 DSP TMS320F2812를 이용하여 컨트롤러를 구성하였으며, 2,500 PPR 분해능의 광학식 증분형 엔코더가 장착 된 100W 용량의 PMSM을 위치 제어 하였다. 위치 제어기를 구성하기 위하여 속도 제어기와 전류 제어기를 하위 루프로 구성하였으며, 회전형 엔코더 4체배 된 신호를 이용하여 최대 10,000 PPR의 위치 제어를 수행 하였다. 이로부터 보다 많은 PPR을 지원하는 엔코더에서도 같은 방법으로 고정도 위치제어가 가능할 것이다.

• 대한전기학회논문지:전력기술부문A
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• 제48권1호
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• pp.22-30
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• 1999

This paper presents an efficient algorithm to estimate the maximum load level for heavily loaded power systems with the load-generation vector obtained by ELD (Economic Load Dispach) and/or short term load forecasting while utilizing the elliptic pattern of the P-e curve. It is well known the power flow equation in the rectangular corrdinate is jully quadratic. However, the coupling between e and f makes it difficult to take advantage of this quadratic characteristic. In this paper, the elliptic characteristics of P-e curve are illustrated and a simple technique is proposed to reflect the e-f coupling effects on the estimation of maximum loadability with theoretical analysis. An efficient estimation algorithm has been developed with the use of the elliptic properties of the P-e curve. The proposed algorithm is tested on IEEE 14 bus system, New England 39 bus system and IEEE 118 bus system, which shows that the maximum load level can be efficiently estimated with remarkable improvement in accuracy.

• 산업공학
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• 제11권2호
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• pp.65-78
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• 1998

The letters of the automobile tire are usually engraved on the side-wall. The shape of the side-wall is a sculptured surface generated by the rotational sweeping of a profile curve. The letters laid on the side-wall are usually designed by a 2-dimensional CAD. It is impossible to machine the letters on the surface accurately by 3-axis NC machining, because the axis of cutter should be tilted to align with the normal vector of the surface. In this case. the degree of freedom for the machine is at least four. This paper describes an idea for tool path generation of a 4-axis machine by using the 2-dimensional CAD data of the letters and the surface of the side-wall. This study includes the following procedures; (1) measuring the profile of the side-wall surface and curve-fitting of the measured points. (2) the 'non-parallel projection' of the letters on the side-wall, and (3) an inverse kinematics of the 4-axis lettering machine. Procedures in this paper are programmed in C-language on Windows95 environment. With a PC based CNC controller and a 4-axis lettering machine. these are tested sucessfully for the practical use.

• 조명전기설비학회논문지
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• 제28권5호
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• pp.60-67
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• 2014

Wind power is one of the fastest growing renewable energy sources. The blades length and tower height of wind turbine have been growing steadily in the last 10 years in order to increase the output amount of wind power energy. The amount of wind turbine energy is increased by increasing the capacity of wind turbine, but the costs of preventive, corrective and replacement maintenance are also increased accordingly. Recently, Condition Monitoring System that can repair the fault diagnose and repair of wind turbine in the real-time. However, these system have a problem that cannot predict and diagnose of the fault. In this paper, wind turbine predict methodology is proposed by using the SVM method. In the case study, correlation analysis between wind turbine fault and external environmental factors is performed by using the SVM method.

• Journal of Power Electronics
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• 제15권4호
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• pp.1026-1034
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• 2015

In this paper, a unified control strategy using the current space vector modulation (CSVM) technique is proposed and applied to a bidirectional three-phase DC/AC converter. The operation of the converter changes with the direction of the power flow. In the charging mode, it works as a buck type rectifier; and during the discharging mode, it operates as a boost type inverter, which makes it suitable as an interface between high voltage AC grids and low voltage energy storage devices. This topology has the following advantages: high conversion efficiency, high power factor at the grid side, tight control of the charging current and fast transition between the charging and discharging modes. The operating principle of the mode analysis, the gate signal generation, the general control strategy and the transition from a constant current (CC) to a constant voltage (CV) in the charging mode are discussed. The proposed control strategy has been validated by simulations and experimental results obtained with a 1kW laboratory prototype using supercapacitors as an energy storage device.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2012년도 추계학술발표대회
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• pp.1154-1157
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• 2012

축산농가의 경제성과 직결되는 암소 발정기의 조기 탐지는 IT 농 축산 학계에서도 매우 중요한 문제 중 하나이며 반듯이 해결해야만 하는 문제로 알려져 있다. 이를 해결하기 위한 다양한 연구 방법들 중, 본 논문에서는 소리 센서 환경에서의 암소의 발정기 탐지 시스템에 관한 연구를 대상으로 한다. 특히, 발정기 발성음의 특징 벡터 생성에 초점을 맞춘다. 특징은 크게 분별력과 차원이라는 두 가지 기준에 대해 우수해야 한다. 즉, 좋은 특징이란 서로 다른 부류를 잘 분별해 주어야 할 뿐만 아니라, 특징 벡터의 차원이 낮을수록 계산 효율이 좋고 차원의 저주에서 멀어 진다. 본 논문에서는 통계학에 기초한 체계적인 특징 벡터 생성에 관한 알고리즘을 제안하고, 실제 축사에서 녹취한 한우 발정기 발성음을 대상으로 낮은 차원의 특징 벡터 생성 과정을 보인다. 또한 이상상황 탐지기로 잘 알려진 단일 클래스 SVM의 대표 모델인 SVDD를 탐지기로 설정하여 생성된 특징 벡터의 분별력을 실험적으로 검증한다.

• Nuclear Engineering and Technology
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• 제53권11호
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• pp.3563-3579
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• 2021

Measured decay heat data of light water reactor (LWR) spent nuclear fuel (SNF) assemblies are adopted to train machine learning (ML) models. The measured data is available for fuel assemblies irradiated in commercial reactors operated in the United States and Sweden. The data comes from calorimetric measurements of discharged pressurized water reactor (PWR) and boiling water reactor (BWR) fuel assemblies. 91 and 171 measurements of PWR and BWR assembly decay heat data are used, respectively. Due to the small size of the measurement dataset, we propose: (i) to use the method of multiple runs (ii) to generate and use synthetic data, as large dataset which has similar statistical characteristics as the original dataset. Three ML models are developed based on Gaussian process (GP), support vector machines (SVM) and neural networks (NN), with four inputs including the fuel assembly averaged enrichment, assembly averaged burnup, initial heavy metal mass, and cooling time after discharge. The outcomes of this work are (i) development of ML models which predict LWR fuel assembly decay heat from the four inputs (ii) generation and application of synthetic data which improves the performance of the ML models (iii) uncertainty analysis of the ML models and their predictions.

• Journal of Smart Tourism
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• 제1권1호
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• pp.53-64
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• 2021

Upselling is often a critical factor in revenue generation for businesses in the tourism and travel industry. Utilizing passenger data from a major international airline company, we develop the PAX (Passenger, Airline, eXternal) model to predict passengers that are most likely to accept an upgrade offer from economy to premium. Formulating the problem as an extremely unbalanced, cost-sensitive, supervised binary classification, we predict if a customer will take an upgrade offer. We use a feature vector created from the historical data of 3 million passenger records from 2017 to 2019, in which passengers received approximately 635,000 upgrade offers worth more than $422,000,000 U.S. dollars. The model has an F1-score of 0.75, outperforming the airline's current rule-based approach. Findings have several practical applications, including identifying promising customers for upselling and minimizing the number of indiscriminate emails sent to customers. Accurately identifying the few customers who will react positively to upgrade offers is of paramount importance given the airline 'industry's razor-thin margins. Research results have significant real-world impacts because there is the potential to improve targeted upselling to customers in the airline and related industries.