• Journal of Institute of Control, Robotics and Systems
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• v.4 no.3
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• pp.329-333
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• 1998

본 논문에서는, LSI 적층 기술을 이용한 실시간 처리 마이크로 비젼의 개발을 소개하고 있다. 새롭게 개발된 LSI 적층기술을 이용하여, 영상신호의 증폭, 변환, 연산처리등의 기본기능을 가지는 다수의 LSI 웨이퍼를 적층한다. 각 층간의 고밀도 수직배선을 통하여 대량의 영상정보를 동시에 전달하므로써, 대규모 동시 병렬처리를 가능하게 하며, 다수의 층에 걸쳐 파이프 라인 처리가 이루어진다. VLSI 설계시스템을 이용하여, 윤곽 검출기능을 가지는 테스트 칩을 설계(2 .mu.m CMOS design rule)하고, 시뮬레이션을 통하여 양호한 동작(처리시간 10 .mu.s)을 확인하고 있다. 시험제작을 위해서는, 새롭게 개발된 LSI 적층기술이 이용된다. 영상처리의 기본회로가 실려있는 웨이퍼의 기반을 30 .mu.m 의 두께까지 연마하고, 개발된 웨이퍼 aligner를 이용하여 수직배선이 형성된 상하 두 개의 웨이퍼를 미세조정하면서 접착한다. 이상의 제작과정을 반복하여 두께 1mm이하의 인공망막과 같은 마이크로 비젼을 제작한다.

• Journal of the Korean Institute of Telematics and Electronics
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• v.15 no.5
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• pp.7-12
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• 1978

The successive-approximation analog-to digital conversion has been rosed to design the FSK Communication systems. The mathematical Boise is computed under the worst condition and the improved method of the FSK is suggested in the field of the real communication systems. The measured results show that the signal to noise ratio is more than 27dB, and it gives a good agreement with the mathematical analysis.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1964-1965
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• 2007

두 카메라로 받아들인 영상을 매트랩(MATLAB)을 이용하여 각각의 카메라에서 시간차를 두고 찍은 첫 번째 사진과 두 번째 사진의 GRAY변환 후 두 사진의 차로 임의로 나눈 3영역에서 움직임을 확인하고 이동방향을 알 수 있었다. 카메라에서 연속적으로 찍은 세 번째 사진과 네 번째 사진도 차를 내어 자율 이동 로봇은 물체를 쫓아가게 된다. 카메라에서 사진을 계속 캡처한 후 차를 내어 자율 이동 로봇이 물체를 쫓아가도록 설계 및 제작 하였다. 자율 이동 로봇은 사람의 눈과 같은 고정된 두 대의 카메라를 사용했다. 영상 처리와 모터제어의 빠른 연산을 위해 컴퓨터를 사용하였고, 영상 처리된 신호는 프린터포트를 이용하여 모터제어를 하였다.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.7
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• pp.39-46
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• 2016

This paper describes the third order feedforward delta-sigma modulator with inverter-based integrators and a 1.5bit comparator for the application of audio signal processing. The proposed 3rd-order delta-sigma modulator is multi-bit structure using 1.5 bit comparator instead of operational amplifier. This delta-sigma modulator has high SNR compared with single-bit 4th-order delta-sigma modulator in a low OSR. And it minimizes power consumes and simplified circuit structure using inverter-based integrator and using inverter-based integrator as analogue adder. The modulator was designed with 0.18um CMOS standard process and total chip area is $0.36mm^2$. The measured power cosumption is 28.8uW in a 0.8V analog supply and 66.6uW in a 1.8V digital supply. The measurement result shows that the peak SNDR of 80.7 dB, the ENOB of 13.1bit and the dynamic range of 86.1 dB with an input signal frequency of 2.5kHz, a sampling frequency of 2.56MHz and an oversampling rate of 64. The FOM (Walden) from the measurement result is 269 fJ/step, FOM (Schreier) was calculated as 169.3 dB.

• Journal of the Korean Society for Nondestructive Testing
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• v.20 no.4
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• pp.314-321
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• 2000

A gap between a $Al_2O_3/Fe$ thermite and lower head vessel is formed in the lower-plenum arrested vessel attack(LAVA) experiment which is the 1st phase study of simulation of naturally arrested vessel attack in vessel(SONATA-IV). The gap measurement using a conventional ultrasonic method would be lack of a reliability due to the structure complexity and the metallurgical grain size change of the lower head HAZ occurred by a thermite $Al_2O_3/Fe$ melt or a $Al_2O_3$ melt at $2300^{\circ}C$. The grain echoes having false signals and lower S/N ratio signals are detected due to a multiple scattering, a mode conversion and an attenuation of a ultrasonic resulted from at the interface of increased grain size zone. In this test, the signals pattern was classified to understand the behavior of the ultrasonic in a multi-layer specimen of solid-liquid-solid of assuming that the thermite and the lower head vessel is immersed. The polarity threshold algorithm of frequency diversity gives us the enhancement about 6dB of the ratio S/N.

• Journal of radiological science and technology
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• v.32 no.3
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• pp.313-323
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• 2009

Diffusion-weighted imaging (DWI) has been demonstrated to be a practical method for the diagnosis of various brain diseases such as acute infarction, brain tumor, and white matter disease. In this study, we used two techniques to examine the average signal intensity (SI) and apparent diffusion coefficient (ADC) of the brains of patients who ranged in age from 10 to 60 years. Our results indicated that the average SI was the highest in amygdala (as derived from DWI), whereas that in the cerebrospinal fluid was the lowest. The average ADC was the highest in the cerebrospinal fluid, whereas the lowest measurement was derived from the pons. The average SI and ADC were higher in $T_2^*$-DW-EPI than in FLAIR-DW-EPI. The higher the b-value, the smaller the average difference in both imaging techniques; the lower the b-value, the greater the average difference. Also, comparative analysis of the brains of patients who had experienced cerebral infarction showed no distinct lesion in the general MR image over time. However, there was a high SI in apparent weighted images. Analysis of other brain diseases (e.g., bleeding, acute, subacute, chronic infarction) indicated SI variance in accordance with characteristics of the two techniques. The higher the SI, the lower the ADC. Taken together, the value of SI and ADC in accordance with frequently occurring areas and various brain disease varies based on the b-value and imaging technique. Because they provide additional useful information in the diagnosis and treatment of patients with various brain diseases through signal recognition, the proper imaging technique and b-value are important for the detection and interpretation of subacute stroke and other brain diseases.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.6
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• pp.1271-1276
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• 2011

Recently, the emergence of various terminal devices increases desire for information exchanges. USB technology is the one of useful devices which is used for connection between them. Especially, it has been introduced some technologies that are able to convergence between UWB wireless technologies and USB transmission technologies. In this paper, we designed and implemented the way to extension virtually desktop computing environment by using USB transfer technology. It leads virtual desktop environment that was able to extend up to 8 units by using USB to VGA/HDMI adapter. And we can control quality of services and signal by USB transfer software.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.470-473
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• 2021

In this study, we developed the biometric ultrasound transducer, residual thickness measurement algorithm and optimized ultrasound operation methods to diagnose precise conditions of implanted medical prosthetic material inserted during total hip artificial joint replacement. In detail, ultrasound transducers having 8 MHz and 20 MHz center frequencies with similar sensitivity and bandwidth were fabricated to measure various thicknesses of commercial polyethylene-based artificial hip liners, resulting in a comparative analysis of signal-to-noise ratio and axial resolution to conduct an optimization study of ultrasound operations in vivo.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.3
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• pp.289-294
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• 2002

A valid speech-sound block can be classified to provide important information for speech recognition. The classification of the speech-sound block comes from the MRA(multi-resolution analysis) property of the DWT(discrete wavelet transform), which is used to reduce the computational time for the pre-processing of speech recognition. The merging algorithm is proposed to extract valid speech-sounds in terms of position and frequency range. It needs some numerical methods for an adaptive DWT implementation and performs unvoiced/voiced classification and denoising. Since the merging algorithm can decide the processing parameters relating to voices only and is independent of system noises, it is useful for extracting valid speech-sounds. The merging algorithm has an adaptive feature for arbitrary system noises and an excellent denoising SNR(signal-to-nolle ratio).

• KIPS Transactions on Software and Data Engineering
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• v.7 no.3
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• pp.113-120
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• 2018

In this study, we proposed a monitoring system for identifying and handling faulty sensing stream data on manufacturing equipments where low-cost sensors can be safely used. Low cost sensors will lessen the cost of implementing distributed monitoring system, but suffer from sensor noises and inaccurate sensed data. Therefore, a distributed monitoring system with low cost sensors should identify faulty signal data as either of sensor fault or machine fault, and filter out faulty signals from sensing fault. To this end, we adopted a fourier transform based diagnostic approach mixed with a weighed moving averaging method, in order to identify faulty signals. We measured how effective our approach is and found out our approach can filter out one-third faulty signals from our experimental environment. In addition, we attached wireless communication modules to reduce sensor and network installation cost. To handle massive sensor data efficiently, we employed unstructured data format with NoSQL based database.