• 대한음성언어의학회:학술대회논문집
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• 대한음성언어의학회 1998년도 제10회 학술대회 심포지움
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• pp.208-209
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• 1998

It is generally known that many cases of pathological rough voice are characterized not by simple random perturbations but by quasi-periodic perturbations in the speech wave. However, there are few studies on the characteristics of perturbations in vocal fold vibrations associated with this type of voice. We have been conducting studies of pathological vocal fold vibration using a high-speed digital image recording system developed by our institute, Compared to the ordinary high-speed-motion picture system, the present system is compact and simple to operate and thus, it suited for pathological data collection. (omitted)

• International Journal of Advanced Culture Technology
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• 제7권4호
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• pp.327-333
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• 2019

Wind speed data constitute important weather information for aircrafts flying at low altitudes, such as drones. Currently, the accuracy of low altitude wind predictions is much lower than that of high-altitude wind predictions. Deep neural networks are proposed in this study as a method to improve wind speed forecast information. Deep neural networks mimic the learning process of the interactions among neurons in the brain, and it is used in various fields, such as recognition of image, sound, and texts, image and natural language processing, and pattern recognition in time-series. In this study, the deep neural network model is constructed using the wind prediction values generated by the numerical model as an input to improve the wind speed forecasts. Using the ground wind speed forecast data collected at the Boseong Meteorological Observation Tower, wind speed forecast values obtained by the numerical model are compared with those obtained by the model proposed in this study for the verification of the validity and compatibility of the proposed model.

• 대한전자공학회논문지
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• 제24권2호
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• pp.315-323
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• 1987

Generally, general-purpose image processing system is so expensive that not so many users easily can access the system. In this paper attemps have been made to design and describe a general and economical image processing system for real-time aplications such as image data compression, pattern recognition and target tracking. The system comprises an operator console, image data acquisition/display sistem and IBM PC/XT. The system also utilizes a high speed Fairchild 16-bit microprocessor with ALU speed of 375 nsec for system control, algrithm execution and user computation. The system also can digitize /display a 256x 256x 8 bit image in real time and store two frames of images. All image pixels are directly accessible by the microprocessor for fast and efficient computation. Some experimental and illustrative results such as target tracking are presented to show the efficient performance of the system.

• 한국정보통신학회논문지
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• 제21권9호
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• pp.1681-1688
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• 2017

본 논문에서는 FPGA와 Nor-Flash를 사용하여 컬러 라인 스캔 카메라를 위한 고속 신호처리 하드웨어 시스템을 구현하였다. 기존의 시스템에서는 소프트웨어를 기반으로 한 고속 DSP가 적용되어 왔고 주로 RGB 개별 논리에 의해 결함을 검출하는 방법이었지만 본 논문에서는 RGB-HSL 변환기, FIFO, HSL 풀-컬러 결함 디코더 및 이미지 프레임 버퍼로 구성된 하드웨어 기반의 결함 검출기를 제안하였다. 결함 검출기는 RGB에서 HSL로의 색상 공간 변환을 위한 하드웨어 기반 룩업테이블과 4K HSL 풀-컬러 결함 디코더로 구성되어 있다. 또한 단일 라인 데이터 기반의 로컬 픽셀 처리 대신 2차원 배열 구조의 이미지 단위 처리를 위해 라인 데이터 축적용 이미지 프레임을 포함한다. 설계된 시스템을 기존의 곡물 선별기에 적용하여 땅콩을 대상으로 선별해 본 결과 효과적임을 알 수 있었다.

• 한국항공우주학회지
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• 제38권9호
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• pp.907-913
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• 2010

본 논문에서는 공군에서 운용중인 전투기를 활용한 비행시험 수행 시 비행자료를 얻기 위한 외장형 계측시스템 개발에 대하여 서술하였다. 전투기의 외장형 계측시스템은 계측 포드와 영상 포드로 구성된다. 계측 포드는 GPS/AHRS 센서를 이용하여 전투기 비행자세, 속도 및 고도 등의 비행자료를 측정하며, 영상 포드는 2대의 고속카메라와 1대의 일반카메라를 사용하여 비행영상을 획득한다. 개발한 외장형 계측시스템은 환경시험과 지상시험, 그리고 전투기에 장착하여 비행시험을 수행함으로서 성능을 입증하였다.

• 제어로봇시스템학회논문지
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• 제3권6호
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• pp.626-631
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• 1997

This paper represents the design of a real-time image preprocessing system. The preprocessing system performs hardware-wise mask operations and thresholding operations at the speed of camera output single rate. The preprocessing system consists of the preprocessing board and the main processing board. The preprocessing board includes preprocessing unit that includes a $5\times5$ mask processor and LUT, and can perform mask and threshold operations in real-time. To achieve high-resolution image input data($20485\timesn$), the preprocessing board has a linescan camera interface. The main processing board includes the image processor unit and main processor unit. The image processor unit is equipped with TI's TMS320C32 DSP and can perform image processing algorithms at high speed. The main processor unit controls the operation of total system. The proposed system is faster than the conventional CPU based system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제4권2호
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• pp.117-137
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• 2010

Iris recognition is a biometric technique which uses unique iris patterns between the pupil and sclera. The advantage of iris recognition lies in high recognition accuracy; however, for good performance, it requires the diameter of the iris to be greater than 200 pixels in an input image. So, a conventional iris system uses a camera with a costly and bulky zoom lens. To overcome this problem, we propose a new method to restore a low resolution iris image into a high resolution image using a single image. This study has three novelties compared to previous works: (i) To obtain a high resolution iris image, we only use a single iris image. This can solve the problems of conventional restoration methods with multiple images, which need considerable processing time for image capturing and registration. (ii) By using bilinear interpolation and a constrained least squares (CLS) filter based on the degradation model, we obtain a high resolution iris image with high recognition performance at fast speed. (iii) We select the optimized parameters of the CLS filter and degradation model according to the zoom factor of the image in terms of recognition accuracy. Experimental results showed that the accuracy of iris recognition was enhanced using the proposed method.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 춘계학술대회 논문집
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• pp.1590-1597
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• 2007

This paper deals with the noise source localization of the Korean High Speed Train (KTX) at the speed of 300 km/h. Using Microfonarray system and beamforming technology typical pass-by noise sources and their frequency characteristics are investigated. It is primarily aimed at investigating the location and characteristics of the high speed train emission. The results from the microphone array tests are also analyzed in relation to the remarks from analytic studies and experimental investigations on the high speed train that have been done with the intention of understanding the interior noise mechanism. The acoustical image shows the low frequency noise sources mainly at the position of the under part of the train at high speeds and the related source mechanism are discussed.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.537-539
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• 2007

Telemetry processing system requires minimum bit transition level in data streams to maintain a bit synchronization while receiving telemetry signal. PN code has a capability of providing the bit transition and is widely used in the packet communication of CCSDS. CCSDS PN code that generator polynomial is $h(x)=x^{8}+x^{7}+x^{5}+x^{3}+1$, and the random bit sequence that is generated from this polynomial is repeated with the cycle of 255 bits. As the resolution of satellite image increases, the size and transmission rate of data increases. To process of huge and bulky size of satellite image, the speed of CCSDS PN Processing is very important. This paper introduces the way of improving the CCSDS PN Processing speed through processing 128 bits at one time using the feature of cyclic structure that repeats after first 255 bytes by grouping the random bit sequence with 1 byte and Intel Streaming SIMD Extensions 2. And this paper includes the comparison data of processing speed between SSE2-applied implementation and not-applied implementation, in addition, the measured value of speed improvement.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2001년도 춘계종합학술대회
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• pp.265-268
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• 2001

본 논문에서는 프랙탈 영상압축 알고리즘의 고속처리를 위한 효율적인 일차원 VLSI 어레이를 설계한다 프랙탈 영상압축 알고리즘은 영상을 정의역블럭과 치역블럭을 나누고, 블럭간의 자기유사성을 비교하여 데이터를 압축시킨다. 이때 정의역블럭은 치역블럭의 두배크기로 인접한 정의역블럭과 50% 중첩시켜 분할한다. 인접한 두 정의역 블럭의 픽셀들이 중첩되므로, 이 픽셀들을 재사용하여 데이터의 입력수를 줄이고 처리속도를 향상시킬수 있다. 이 결과 최소한의 레지스터와 MUX, DEMUX의 추가만으로 약 25%의 처리속도 향상을 얻을 수 있다.