• 한국공작기계학회논문집
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• 제12권3호
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• pp.8-16
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• 2003

Monitoring of the drill wear :md hole quality change is conducted during the drilling process. Cutting force measured by tool dynamometer is a evident feature estimating abnormal state of drilling. One major difficulty in using tool dynamometer is that the work-piece must be mounted on the dynamometer, and thus the machining process is disturbed and discontinuous. Acoustic transducer do not disturb the normal machining process and provide a relatively easy way to monitor a machining process for industrial application. for this advantage, AE signal is used to estimate the abnormal fate. In this study vision system is used to detect flank wear tendency and hole quality, there are many formal factors in hole quality decision circularity, cylindricity, straightness, and so of but these are difficult to measure in on-line monitoring. The movement of hole center and increasement of hole diameter is presented to determine hole quality. As the results of this experiment AE RMS signal and measurements by vision system are shorn the similar tendency as abnormal state of drilling.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2002년도 춘계학술대회 논문집
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• pp.1038-1042
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• 2002

Monitoring of the drill wear and hole quality change is conducted during the drilling process. Cutting force measured by tool dynamometer is a evident feature estimating abnormal state of drilling. One major difficulty in using tool dynamometer is that the work piece must be mounted on the dynamometer, and thus the machining process is disturbed and discontinuous. Acoustic transducer do not disturb the normal machining process, and provide a relatively easy way to monitor a machining process for industrial application. For this advantage, AE signal is used to estimate the abnormal state. In this study vision system is used to detect flank wear tendency and hole quality, there are many formal factors in hole quality decision circularity, cylindricity, straightness, and so on, but these are difficult to measure in on-line monitoring. The movement of hole center and increasement of hole diameter is presented to determine hole quality As the results of this experiment, AE RMS signal and measurements by vision system are shown the similar tendency as abnormal state of drilling. And detection of the abnormal states using BPNs was achieved 96.4% reliability.

• 한국정밀공학회지
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• 제15권12호
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• pp.142-147
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• 1998

Developing robot hands with multi-degree-of-freedom is one of the topics that researchers have recently begun to improve the limitation by adding flexibility and dexterity. In this study, an articulated servo-pneumatic robot hand system with direct-drive joints has been developed whose main feature is the minimization of the dimension. The servo-pneumatic system is advantageous to fabricate a dexterous robot hand system due to the high torque-to-weight and torque-to-volume ratio. This enables the design of a finger joint with an integrated rotary vane type actuator which produces high output torque without reduction gears, being very robust. In order to control the servo-pneumatic finger joints, a miniature proportional valve that can be attached to the robot hand is required. In this paper, a flapper nozzle type 4/3-way proportional directional valve has been designed and tested. The experimental results show that the developed valve can control a finger joint satisfactorily without much vibratory joint movements and acoustic noises.

• 한국통신학회논문지
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• 제31권9C호
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• pp.853-858
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• 2006

음성인식에서 TMHMM(Tied Mixture Hidden Markov Model)은 자유 매개변수의 수를 감소시키기 위한 좋은 접근이지만, GPDF(Gaussian Probability Density Function) 군집화 오류에 의해 음성인식의 오류를 발생시켰다. 본 논문은 TMHMM에서 발생하는 군집화 오류를 최소화하기 위하여 HCNN(Homogeneous Centroid Neural Network) 군집화 알고리즘을 제안한다. 제안된 알고리즘은 CNN(Centroid Neural Network)을 TMHMM상의 음향 특징벡터에 활용하였으며, 다른 상태에 소속된 확률밀도가 서로 겹쳐진 형태의 이질군집 지역에 더 많은 코드벡터를 할당하기 위해서 본 논문에서 새로 제안이 제안되는 이질성 거리척도를 사용 하였다. 제안된 알고리즘을 한국어 고립 숫자단어의 인식문제에 적용한 결과, 기존 K-means 알고리즘이나 CNN보다 각각 14.63%, 9,39%의 오인식률의 감소를 얻을 수 있었다.

• Smart Structures and Systems
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• 제1권1호
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• pp.63-82
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• 2005

This paper introduces a technology for robust and low maintenance cost sensor network capable to detect accelerations below a micro-g in a wide frequency bandwidth (above 1,000 Hz). Sensor networks with such performance are critical for navigation, seismology, acoustic sensing, and for the health monitoring of civil structures. The approach is based on the fabrication of an array of high sensitivity accelerometers, each utilizing Fabry-Perot cavity with wavelength-dependent reflectivity to allow embedded optical detection and serialization. The unique feature of the approach is that no local power source is required for each individual sensor. Instead one global light source is used, providing an input optical signal which propagates through an optical fiber network from sensor-to-sensor. The information from each sensor is embedded onto the transmitted light as an intrinsic wavelength division multiplexed signal. This optical "rainbow" of data is then assessed providing real-time sensing information from each sensor node in the network. This paper introduces the Fabry-Perot based accelerometer and examines its critical features, including the effects of imperfections and resolution estimates. It then presents serialization techniques for the creation of systems of arrayed sensors and examines the effects of serialization on sensor response. Finally, a fabrication process is proposed to create test structures for the critical components of the device, which are dynamically characterized.

• 한국정보통신학회논문지
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• 제16권11호
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• pp.2569-2574
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• 2012

초계함(천안함급)에 탑재 된 HMS(Hull Mount Sonar) 장비는 능동모드에 적합하도록 설계 되어 있다. 이에 센서 및 시스템 특성이 어뢰 탐지 주파수 대역에 적당하도록 구성되어 있지는 않다. 이에 초계함에 장착 된 기존 HMS 장비를 이용한 어뢰탐지 기능 구현을 위하여, 초계함 함 별 입력 특성을 분석하고, 입력 주파수 신호에 대한 역보상 회로 설계, 입력 신호 크기에 따른 AGC(Auto Gain Control) 기능 구현 및 함별 신호특성에 따른 대역설정 기능을 통하여 함정 별 특성 및 운용환경 특성에 맞는 어뢰방어시스템을 구현하였다.

• 한국음향학회:학술대회논문집
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• 한국음향학회 1997년도 영남지회 학술발표회 논문집 Acoustic Society of Korean Youngnam Chapter Symposium Proceedings
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• pp.27-34
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• 1997

In this study , we tried to test the classification performance of a neural netow and thereby to examine its applicability to the signals distorted by a shallow water einvironment . We conducted an acoustic experiment iin a shallow sea near Pohang, Korea in which water depth is about 60m. The signals, on which the network has been tested, is ilinear frequency modulated ones centered on one of the frequencies, 200, 400, 600 and 800 Hz, each being swept up or down with bandwidth 100Hz. we considered two transforms, STFT(short-time Fourier transform) and PWVD (pseudo Wigner-Ville distribution), form which power spectra were derived. The training signals were simulated using an acoutic model based on the Fourier synthesis scheme. When the network has been trained on the measured signals of center frequency 600Hz,it gave a little better results than that trained onthe simulated . With the center frequencies varied, the overall performance reached over 90% except one case of center frequency 800Hz. With the feature extraction techniques(STFT and PWVD) varied,the network showed performance comparable to each other . In conclusion , the signals which have been simulated with water depth were successully applied to training a neural network, and the trained network performed well in classifying the signals distorted by a surrounding environment and corrupted by noise.

• 음성과학
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• 제14권4호
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• pp.99-114
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• 2007

This study attempted to acoustically analyze the diphthongs of native Jeju speakers in their 70s, 50s, and 20s to observe their diphthong inventories 96 subjects participated in the recording using a set of picture cards. Results show that Jeju dialect speakers in their 70s distinguish /we/ and $/w{\varepsilon}/$, /yo/ and /yc/, but have difficulty pronouncing /ye/, $/y{\varepsilon}/$, and /iy/ correctly. It is interesting to find that the diphthong inventory of Jeju dialect speakers in their 50s are in transitional stage. They share the diphthong inventories of those people in their 70's containing /we/ and $/w{\varepsilon}/$, and /yo/ and /yc/, but they do not produce them as clearly as the latter age group. The former age group also share the common feature with those people in their 20's because both age groups show the same pronunciation of /iy/. The youngest group seldom pronounce /we/ and $/w{\varepsilon}/$, /yo/ and /yc/ correctly unlike native Jeju speakers in their 70s, but they can easily pronounce the diphthong /iy/ like standard Korean speakers.

• 한국정보통신학회논문지
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• 제16권10호
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• pp.2137-2142
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• 2012

수중환경 하에서 표적을 탐지하고 식별하는 문제는 군사적인 목적은 물론 비군사적 목적으로도 많은 연구가 수행되어 왔다. 수중환경에서의 수중음향 신호가 시간 공간적으로 특성이 변화하며 천해 다중경로 환경을 반영하는 복잡한 특성을 보이는 점으로 인해 능동 표적인식 기술은 매우 어려운 기술로 여겨져 왔다. 또한 실제 데이터 수집의 어려움이 따르게 된다. 본 논문에서는 수중환경 하에서 능동 표적신호를 합성, 특징추출 및 표적식별을 수행할 수 있는 시뮬레이터를 구현하였다. 표적신호의 합성에는 하이라이트 모델과 3차원 모델을 사용하였으며, 표적신호의 식별을 위해서는 다중각도에 기반한 은닉 마코프모델을 사용하였다.

• 한국정보통신학회논문지
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• 제17권11호
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• pp.2505-2511
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• 2013

수중환경 하에서 표적을 탐지하고 식별하는 문제는 군사적인 목적은 물론 비군사적 목적으로도 많은 연구가 수행되어 왔다. 수중환경에서의 수중음향 신호가 시간 공간적으로 특성이 변화하며 천해 다중경로 환경을 반영하는 복잡한 특성을 보이는 점으로 인해 능동 표적인식 기술은 매우 어려운 기술로 여겨져 왔다. 또한 실제 데이터 수집의 어려움이 따르게 된다. 본 논문에서는 3차원 하이라이트 분포를 가지는 모델을 이용하여, 능동소나 표적신호를 음선 추적기법을 기반으로 하여 합성하였다. 합성된 표적신호를 대상으로 Fractional Fourier 변환을 적용하여 특징벡터를 추출하였고, 신경회로망 인식기를 이용하여 인식 실험을 수행하였다.