• Journal of the Institute of Electronics Engineers of Korea SD
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• v.39 no.3
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• pp.85-97
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• 2002

STUMPS has been widely used for built-in self-test of scan design with multiple scan chains. In the STUMPS architecture, there is very high correlation between the bit sequences in the adjacent scan chains. This correlation causes circuits lower the fault coverage. In order to solve this problem, an extra combinational circuit block(phase shifter) is placed between the LFSR and the inputs of STUMPS architecture despite the hardware overhead increase. This paper introduces an efficient test pattern generation technique and built-in self-test architecture for sequential circuits with multiple scan chains. The proposed test pattern generator is not used the input of LFSR and phase shifter, hence hardware overhead can be reduced and sufficiently high fault coverage is obtained. Only several XOR gates in each scan chain are required to modify the circuit for the scan BIST, so that the design is very simple.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.3
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• pp.11-20
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• 2022

Currently, the black-white QR (Quick Response) codes have been used widely in consumer advertising fields and the study of color QR codes have received a growing demand because of much higher data encoding capacity. Color QR codes can be reproduced by the printing and scanning processes, however, these encounter colors distortion caused by insufficient lighting, low resolution of camera and geometric deformation during the capturing processes. In order to overcome these problems, this paper proposes an efficient decoding algorithm for color QR codes with inserted patterns, which are dealt with conventional studies. These are evaluated in view of the recognition rate under different noise conditions, for example, Gaussian noises/blurring and geometric deformation. Experimental results demonstrate that the color QR codes with simple pattern can resist the distortion of Gaussian noises/blurrings.

• Journal of Biomedical Engineering Research
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• v.24 no.6 s.81
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• pp.523-531
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• 2003

We developed a PC-based 8-channel electrical stimulation system for transcutaneous functional electrical stimulation (FES), and applied it to FES exercise and paraplegic walking. The PC program consists of four parts: a database, a stimulation pattern generator, a stimulus parameter converter, and an exercise program. The stimulation pattern can be arbitrarily generated and edited by using the mouse on the PC screen, and the resulting stimulus parameters arc extracted from the recruitment curves, and transmitted to the 8-channel stimulator through the serial port. The stimulator has nine microprocessors: one master and eight slaves, Each channel is controlled by the slave microprocessor, and is operated independently. Clinical application of the system to a paraplegic patient showed significant increase in the knee extensor torque, the fatigue resistance, and the leg circumference, The patient can now walk about 50 meters for more than 2 minutes.

• Journal of Digital Contents Society
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• v.3 no.2
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• pp.197-209
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• 2002

If we reduce the number of vertexes to decrease bit rate in polygon-based shape coding, the distortion of approximated contour increases rapidly. On the other hand, if we reduce the distortion, the number of vertexes increases rapidly and many bits are required to encode the vertexes. To improve this problem, in this paper we propose the approximation vertex search method. The encoder in the proposed method searches the type of distortion patterns that is the most similar to the shape which polygon edge and contour segment form and then encodes it. And then, the decoder mathematically finds the approximated vertexes from decoded distortion pattern information. Therefore, the proposed algorithm results in encoding many vertexes at a low bit rate and having the smoother shape than conventional method. As shown in computer simulation, the proposed method has less distortion than conventional method. It costs less bit rate by $10{\sim}20%$ than conventional algorithm in same distortion.

• Journal of the Korean Institute of Gas
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• v.27 no.3
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• pp.72-76
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• 2023

Among urban gas-using facilities, more and more cases are using gas meters for leakage inspection instead of inspection ports for concealment pipes. Leak alarm alarms were continuously generated according to the boiler's special usage pattern in an environment where there was no actual gas leakage among some households where this meter was installed. It does not perform its original function of detecting actual gas leakage. Based on these problems, this study analyzed the conditions under which the gas meter for leakage inspection generates leakage alarms according to the boiler's special gas use pattern, and sought a set value that can generate an alarm only in the case of actual gas leakage. Through this, it is intended to relieve citizens' anxiety about gas use due to malfunction of the alarm and at the same time perform the original function of the meter that can detect leaking gas.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.4
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• pp.81-99
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• 2020

Origin-destination data have been collected and utilized for demand analysis and service design in various fields such as public transportation and traffic operation. As the utilization of big data becomes important, there are increasing needs to store raw origin-destination data for big data analysis. However, it is not practical to store and analyze the raw data for a long period of time since the size of the data increases by the power of the number of the collection points. To overcome this storage limitation and long-period pattern analysis, this study proposes a methodology for compression and origin-destination data analysis with the compressed data. The proposed methodology is applied to public transit data of Sejong and Seoul. We first measure the reconstruction error and the data size for each truncated matrix. Then, to determine a range of principal components for removing random data, we measure the level of the regularity based on covariance coefficients of the demand data reconstructed with each range of principal components. Based on the distribution of the covariance coefficients, we found the range of principal components that covers the regular demand. The ranges are determined as 1~60 and 1~80 for Sejong and Seoul respectively.

• Journal of Nutrition and Health
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• v.54 no.3
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• pp.247-261
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• 2021

Purpose: This study was conducted to identify the association between insulin resistance and the major dietary patterns of Korean adults. Methods: This study used data from the 2015 Korea National Health and Nutrition Examination Survey. The subjects were 2,276 adults aged 19 to 64 years old. Based on the food frequency questionnaire data, 112 food items were reclassified into 30 food groups. The principal component analysis method was applied to identify major dietary patterns. We used homeostatic model assessment of insulin resistance (HOMA-IR) and quantitative insulin sensitivity check index (QUICKI) value as indicators of insulin resistance. The association between major dietary patterns and insulin resistance was investigated using logistic regression analysis. Results: Three major dietary patterns were identified and assigned descriptive names based on the food items with high loadings: 'healthy Korean meal pattern', 'western meal pattern', and 'white rice, alcohol, meat pattern'. As the 'white rice, alcohol, meat pattern' score increased, significant increasing trends for fasting glucose concentration and HOMA-IR and a significant decreasing trend for QUICKI were observed after adjusting for age and sex. The odds ratio of insulin resistance according to the 'healthy Korean meal pattern' and the 'western meal pattern' were not statistically significant. the 'white rice, alcohol, meat pattern' showed a significant positive association with the risk of insulin resistance after adjusting for covariates. Conclusion: These results suggest that the 'white rice, alcohol, meat pattern' is positively associated with the risk of insulin resistance. The white rice, alcohol, meat pattern was related to the high consumption of alcohol together with rice or meat. This pattern was also associated with the high intake of sodium and low intakes of vitamin C, calcium, potassium, and dietary fiber. To confirm the association, further longitudinal studies are required.

• Journal of KIISE:Databases
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• v.36 no.5
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• pp.341-351
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• 2009

Recently high utility pattern (HUP) mining is one of the most important research issuer in data mining since it can consider the different weight Haloes of items. However, existing mining algorithms suffer from the performance degradation because it cannot easily apply Apriori-principle for pattern mining. In this paper, we introduce new high utility pattern mining approach by using a prefix-tree as in FP-Growth algorithm. Our approach stores the weight value of each item into a node and utilizes them for pruning unnecessary patterns. We compare the performance characteristics of three different prefix-tree structures. By thorough experimentation, we also prove that our approach can give performance improvement to a degree.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.910-913
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• 2017

데이터의 양이 증가하면서 인공신경망을 통한 데이터 분석 기술이 주목받고 있으며, 텍스트, 그림, 동영상 등에 이르기까지 다양한 종류의 데이터를 자동으로 분석하여, 번역기, 채팅봇, 그림 캡션 자동 생성 등에 대한 연구 및 서비스 개발에 활용되고 있다. 인공신경망 기반으로 수행된 많은 연구들이 공통적으로 가진 한계가 있는데, 그것은 은닉층에 대한 해석이 어렵다는 것이다. 가령, 입력층, 은닉층, 그리고 결과층으로 이루어진 인공신경망을 임의의 데이터로 학습시키면, 입력층과 은닝층 사이에 존재하는 행렬은 해당 데이터에 존재하는 패턴 정보를 내포하게 된다. 따라서, 행렬에 존재하는 패턴 정보를 직접 분석할 수 있다면, 인공신경망 결과물에 대한 해석이 가능할 뿐만 아니라 성능을 높이기 위해 어떤 조정이 필요한지에 대한 직관도 얻을 수 있을 것이다. 하지만, 이 행렬의 실체는 숫자로 이루어진 벡터이므로 사람이 직접 해석하는 것은 불가능하며, 지금까지 수행되어온 대부분의 인공신경망 연구들은 공통적으로 이러한 한계점을 가지고 있다. 본 연구는 데이터에 존재하는 패턴을 잡아내면서도 해석이 가능한 토픽 모델과 인공신경망의 결과물을 비교함으로써, 인공신경망 은닉층 해석에 대한 실마리를 찾기 위한 연구이다. 실험을 통해 토픽과 은닉층 패턴의 유사성을 검증하고, 향후 인공신경망 연구에서 은닉층에 대한 가능성을 논한다.

• Journal of the korean Society of Automotive Engineers
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• v.9 no.1
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• pp.3-8
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• 1987

자연과학은 계측기술의 발전과 함께 진전하고 있다고 보아도 된다. 여러 가지 자연현상을 정상 적이 아닌 정량적으로 엄밀하고도 정확하게 잡아냄으로서 비로소 한 사물과 다른 사물과의 관련 성과 인과관계를 적절하고도 확실하게 이해할 수가 있다. 최근 전자공학의 발달로 어제의 정밀 계측기와 오늘의 정밀계측기의 성능이나 면모가 일신되어 그 변화발전의 속도가 다른 분야보다 훨씬 앞지르고 있다고 해도 과언이 아니다. 특히 사물을 정상적으로 인식하는 패턴(pattern)과 같은 인식기술 또한 첨단계측기술이라 하겠으나, 이는 목적에 따라서는 일반적으로 불충분하며 수치로써 표현됨으로써 비로서 보편적이고도 타탕성이 있다고 보게되며, 적합하고도 확실한 정 보를 입수하며 지식을 잘 다듬음으로써 비로서 다른 사물에 잘 응용할 수가 있는 것이다. 여러 가지 공업적인 기술에 있어서 이 계측은 모든 것의 기초가 되며 계측기의 발달은 바로 그 분야의 문제해결과 적결되어서, 그 분야의 학문과 기술을 보다 한발 전진시켜주는 요인이 된다고 보아서 앞으로의 정밀계측기의 개발연구는 더울 중요성이 높게 평가되야만 한다고 생각한다. 따라서 자동차공업은 하나의 종합된 정밀기계공업이라고 볼 수 있으며 매년 우리나라 자동차생산은 증 대일락에 있고 그 수출량 또한 증가되어 품질보증은 그 어느때보다도 요구되고 있어, 과학의 기초인 계측에 관해 기초개명에서부터 최근의 정밀계측시스템에 대해서 살펴보고자 한다.