• 전력전자학회:학술대회논문집
• /
• 전력전자학회 2000년도 전력전자학술대회 논문집
• /
• pp.258-261
• /
• 2000

A non-contact battery charger which transfers energy using magnetic field has a difficulty with a feed-back control due to the interaction between the power and signal processing This paper proposes an effective method which uses auxiliary windings of transformer as signal path and copes with cross-talk using the MOSFET ringing phenomenon and ceramic filter. The power stage is half-bridge series resonant converter. Design procedure and experimental verification are presented.

• 대한전자공학회:학술대회논문집
• /
• 대한전자공학회 1998년도 하계종합학술대회논문집
• /
• pp.603-606
• /
• 1998

In a large number of words and the continued speech recognition system using a phoneme as teh recognition unit, it is necessary to segment processing. In this paper, a normalized AMDF new method. The suggested parameter represents a degree of sharpness at valley point. This method can detect the speech segment between the steady state and transient region to the continued speech without a prior information of speech signal.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 1995년도 추계학술대회 논문집 학회본부
• /
• pp.95-98
• /
• 1995

In this paper, a good fault location algorithm will be presented, which uses novel signal processing techniques and takes a new paradigm to overcome some drawbacks of the conventional methods. The main feature of the method is that it uses the high frequency components in fault signal and considers the influence of the source network by using a traveling wave concept.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 1997년도 하계학술대회 논문집 B
• /
• pp.459-461
• /
• 1997

This paper describes a simulation method of the correlation-signal output, which has Doppler effect (variation of amplitude, phase, and frequency) caused by the moving-effect of target and encounter conditions. Using these results, we can develope and verify the algorithm of the signal processing parts of the code correlation range sensor with ease.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2006년 학술대회 논문집 정보 및 제어부문
• /
• pp.600-602
• /
• 2006

Some abnormal signals diagnostics and analysis through an important equivalent circuits modeling for passive elements under severe accident conditions have been performed. Unlike the design basis accidents, there are inherently some uncertainties in the instrumentation capabilities under the accident conditions. So, the circuit simulation analysis and diagnosis methods are used to assess instruments in detail when they give apparently abnormal readings as an accident alternative method. The simulations can be useful to investigate what the signal and circuit characteristics would be when similar to a variety of symptoms that can result from the environmental conditions such as high temperature, humidity, and pressure condition. In this paper, a new simulator through an analysis of the important equivalent circuits modeling under temperature accident conditions has been designed, the designed simulator is composed of the LabVIEW code as a main tool and the out-put file of the Multi-SIM code as an engine tool is exported to in-put file of the LabVIEW code. The procedure for the simulator design was divided into two design steps, of which the first step was the diagnosis method, the second step was the circuit simulator for the signal processing tool. It has three main functions which are a signal processing tool, an accident management tool, and an additional guide from the initial screen. This simulator should be possible that it could be applied a output signal analysis to some transient signal by variation of the resistance passive elements in the R-L-C equivalent circuit modeling under various degraded conditions in NPPs.

• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2015년도 추계학술대회
• /
• pp.717-719
• /
• 2015

국내외적으로 무인자동차에 대한 연구와 개발이 활발히 진행되고 있다. 기존에 2D 기반의 네비게이션과 같은 시스템의 단점을 보완하고 더 안전한 주행을 할 수 있도록 다양한 서비스를 제공하기 위해 연구되고 있다. 본 논문에서는 동영상에서 교통 신호등의 위치 검출 및 신호인식 기법을 구현하여 보다 효과적으로 실시간 영상처리가 가능하도록 그 방법을 제안한다. 차량 전방의 깊이 정보를 측정하는 방법의 한계와 무인자동차 구현을 위한 신호등 인식기능의 한계, 그리고 기존 신호등 인식프로그램은 밝기변화에 민감하여 신호분석에 장애가 있다는 점을 고려하여 영상처리를 이용해 차량 전방의 깊이정보를 파악하고, 신호등을 검출하여 신호를 분석하고 전방에 검출된 신호등의 색성분과 신호등-차량 간의 거리를 구하는 프로그램을 구현한다.

• 한국음향학회:학술대회논문집
• /
• 한국음향학회 2004년도 춘계학술발표대회 논문집 제23권 1호
• /
• pp.275-278
• /
• 2004

In TV sound system, loudspeakers are subject to severe size constraints. The small size of the transducer affects the low frequency signal performance of the system. Bass signal performance contributes significantly to the user perceived sound quality and a good bass signal reproduction is essential. Increasing the sound energy in the bass signal range is an unviable solution since the gain required are exceedingly high and signal distortion occurs because of the speaker overload. Recently methods are being proposed to invoke low frequency illusion using psychoacoustic phenomena of the missing fundamental. This paper proposes a simple and effective signal processing method to create bass signal illusion in TV speakers using the missing fundamental effect, at a complexity of 12 MIPS on Motorola 56371 audio DSP.

• 디지털산업정보학회논문지
• /
• 제12권1호
• /
• pp.43-50
• /
• 2016

This paper is on an acoustic echo canceller solving the double-talk problem by using the blind signal separation technology. The acoustic echo canceller may be deteriorated or diverged during the double-talk period. So we use the blind signal separation to detect the double talking by separating the near-end speech signal from the mixed microphone signal. The blind signal separation extracts the near-end signal from dual microphones by the iterative computations using the 2nd order statistical character in the closed reverberation environment. By this method, the acoustic echo canceller operates irrespective of the double-talking. We verified performances of the proposed acoustic echo canceller in the computer simulations. The results show that the acoustic echo canceller with this algorithm detects the double-talk periods well, and then operates stably without diverging of the coefficients after ending the double-talking. The merits are in the simplicity and stability.

• 융합신호처리학회논문지
• /
• 제23권4호
• /
• pp.249-255
• /
• 2022

포트홀은 아스팔트 포장도로의 구조적 결함을 나타내는 중요한 단서임과 동시에 많은 인명 피해와 재산 피해를 일으킨다. 따라서 정확한 포트홀 탐지는 도로 표면의 유지보수에 있어서 중요한 과제이다. 포트홀 탐지를 위해 많은 머신러닝 기술이 도입되고 있으며 딥러닝 모델의 효율성을 높이기 위해 데이터 전처리가 필요하다. 본 논문에서는 포트홀 데이터셋에서 중요한 질감과 형태를 강조하는 전처리 방법을 제안한다. 제안된 전처리 방법은 Intensity transformation을 사용해 도로의 불필요한 요소를 줄이고 포트홀의 질감과 형태를 부각한다. 또한 Superpixel, Sobel edge detection을 사용해 포트홀의 특징을 검출한다. 제안된 전처리 방법과 기존의 전처리 방법의 성능 비교를 통해 포트홀 검출에서 제안된 전처리 방법이 기존 방법보다 더 효과적인 방법이라는 것을 보여준다.

• 대한인간공학회지
• /
• 제30권6호
• /
• pp.689-694
• /
• 2011

Objective: The aim of this study is to evaluate the fluctuation of signal amplitude during repetitive dynamic contraction based on surface electromyography(EMG). Background: The most previous studies were considered isometric muscle contraction and they were difference to smoothing window length by moving average filter. In practical, the human movement is dynamic state. Dynamic EMG signal which indicated as the nonstationary pattern should be analyzed differently compared with the static EMG signal. Method: Ten male subjects participated in this experiment, and EMG signal was recorded by biceps brachii, anterior/posterior deltoid, and upper/lower trapezius muscles. The subject was performed to repetitive right horizontal lifting task during ten cycles. This study was considered three independent variables(muscle, amplitude processing technique, and smoothing window length) as the within-subject experimental design. This study was estimated muscular activation by means of the linear envelope technique(LE). The dependent variable was set coefficient of variation(CV) of LE for each cycle. Results: The ANOVA results showed that the main and interaction effects between the amplitude processing technique and smoothing window length were significant difference. The CV value of peak LE was higher than mean LE. According to increase the smoothing window length, this study shows that the CV trend of peak LE was decreased. However, the CV of mean LE was analyzed constant fluctuation trend regardless of the smoothing window length. Conclusion: Based on these results, we expected that using the mean LE and 300ms window length increased reproducibility and signal noise ratio during repetitive dynamic muscle contraction. Application: These results can be used to provide fundamental information for repetitive dynamic EMG signal processing.