• International journal of advanced smart convergence
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• 제12권3호
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• pp.200-210
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• 2023

Until now, it is popular to use question-and-answer-based for human personality. The current inspection of representative personality types includes Myers-Briggs Type Indicator (MBTI) and job suitability evaluations. The problem of these inspection methods is influenced by the user's environment and psychological status during MBTI inspection. To solve this problem, we proposed MBTI Identification Model based on measuring bioelectricity patterns. We adapt traditional Korean medicine, the Eight Constitution, to this model. We develop an automatic MBTI identification algorithm that maps the Eight Constitution via biological current patterns to identify MBTI personality types. By utilizing the algorithm proposed in this research, it is anticipated that users will be able to measure MBTI more easily and accurately.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1990년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 26-27 Oct. 1990
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• pp.68-72
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• 1990

This paper describes a method of calculating the viewing parameters of a camera using a perspective view of a circular pattern. The proposed method determines the angle of pan, tilt, and swing, as well as the distance from the camera to the reference point of a world coordinate system, using simple equations. The proposed method is so simple and accurate that when used in a well-controled environment as in robot vision systems or visual inspection systems it may even seem trivial.

• 한국산학기술학회논문지
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• 제21권5호
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• pp.167-178
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• 2020

본 논문에서는 사용검사 전 하자로 분류되는 미시공과 변경시공을 대상으로 하자분류체계를 설정하여 세부적인 사용검사 전 하자발생 패턴과 특징을 도출하는 것을 목적으로 한다. 이를 위하여 본 논문에서는 실제로 하자 분쟁이 발생한 공동주택 사례 133건, 약 3,110건의 사용검사 전 하자항목을 활용하여 분석을 실시하였다. 주요 분석결과를 살펴보면, 첫째, 하자중요도 관점에서 마감공사에서 발생하는 사용검사 전 하자들이 상대적으로 높은 순위를 차지하였다. 둘째, 일반적으로 외벽 균열 등과 같은 하자도 매우 중요한 하자로 인식되고 있으나, 사용검사 전 하자들의 경우, 외벽에는 상대적으로 나타나지 않는 것으로 확인되었다. 셋째, 방수공사의 경우, 기전실이나 주차장 등에서 사용검사 전 하자가 주로 발생하는 것으로 확인되었다. 또한 하자중요도 상위 20위 내에 포함되는 하자에 대한 세부 내역을 확인한 결과, 분쟁 소송 과정에서 다양한 쟁점이 발생할 수 있음에 따라 이해관계자 간 이견을 합리적으로 해결할 수 있는 기준이나 대응책 마련이 필요하다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2011년도 춘계학술대회
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• pp.805-807
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• 2011

본 논문에서는 라인스캔 기술을 이용하여 자동차 사출성형 부품의 결함을 검사하는 방법을 제안한다. 검사대상의 결함을 검사하기 위한 검사 알고리즘은 라인 검출 알고리즘, 결함 분석 알고리즘으로 구성된다. 라인 검출 알고리즘은 레이저 선의 중심점에 해당하는 픽셀의 좌표를 결정한다. 검사 알고리즘은 해당 검사대상 모델에 대한 패턴 데이터와 라인 검출 알고리즘으로부터 얻은 데이터를 이용하여 제품의 불량 유무를 결정한다. 검사 정확도, 처리 시간 등의 평가를 통해 제안하는 검사 방법이 유효함을 확인하였다.

• Nuclear Engineering and Technology
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• 제51권3호
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• pp.800-806
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• 2019

This paper presents a laboratory experiment on data acquisition technique that applied to the gamma radiation scanning coupled with computed tomography (CT) technique for inspection of broken nozzle inside the vertical vessel. The acquisition technique was developed to inspect a large diameter vessel when suspicious problem location is not easily accessed. This technique allows the installation of gamma radiation source (Cesium 137, Cs-137), and detectors (Sodium Iodine. NaI(Tl)) from the accessible location to the required location and performs the scanning by designed pattern. To demonstrate the designed technique, top opened tank which installed with six cut steel pipes diameter of 76.2 mm (3") at a certain position was selected. They were assumed to be a gas riser pipes inside the vessel. Three studied cases were performed, (a) projection of well installed six pipes, (b) projection of one out of six broken pipe and (c) one of nozzle was assumed to be failure and fell down until one out of six pipes was broken and obstructed by nozzle. Results clearly indicated the capability of developed technique to distinguish between normal situation case and abnormal situation cases.

• 품질경영학회지
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• 제50권4호
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• pp.717-734
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• 2022

Purpose: The purpose of this study is to effectively detect violations that occur simultaneously against Good Manufacturing Practice, which were concealed by drug manufacturers. Methods: In this study, we present an analysis framework for analyzing regulatory violation patterns using Association Rule Mining (ARM), Text Mining, and t-distributed Stochastic Neighbor Embedding (t-SNE) to increase the effectiveness of on-site inspection. Results: A number of simultaneous violation patterns was discovered by applying Association Rule Mining to FDA's inspection data collected from October 2008 to February 2022. Among them there were 'concurrent violation patterns' derived from similar regulatory ranges of two or more regulations. These patterns do not help to predict violations that simultaneously appear but belong to different regulations. Those unnecessary patterns were excluded by applying t-SNE based on text-mining. Conclusion: Our proposed approach enables the recognition of simultaneous violation patterns during the on-site inspection. It is expected to decrease the detection time by increasing the likelihood of finding intentionally concealed violations.

• 전기학회논문지P
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• 제52권1호
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• pp.35-41
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• 2003

In this paper, a machine vision system for recognizing and classifying the patterns and marks engraved by die molding or laser marking on the glass panels of computer monitors is suggested and evaluated experimentally. The vision system is equipped with a neural network and an NGC pattern classifier including searching process based on normalized grayscale correlation and adaptive binarization. This system is found to be applicable even to the cases in which the segmentation of the pattern area from the background using ordinary blob coloring technique is quite difficult. The inspection process is accomplished by the use of the NGC hypothesis and ANN verification. The proposed pattern recognition system is composed of three parts: NGC matching process and the preprocessing unit for acquiring the best quality of binary image data, a neural network-based recognition algorithm, and the learning algorithm for the neural network. Another contribution of this paper is the method of generating the training patterns from only a few typical product samples in place of real images of all types of good products.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2003년도 춘계학술대회
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• pp.304-309
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• 2003

In this study, natural flaws in welding parts are classified using the signal pattern classification method. The storage digital oscilloscope including FFT function and enveloped waveform generator is used and the signal pattern recognition procedure is made up the digital signal processing, feature extraction, feature selection and classifier design. It is composed with and discussed using the distance classifier that is based on euclidean distance the empirical Bayesian classifier. Feature extraction is performed using the class-mean scatter criteria. The signal pattern classification method is applied to the signal pattern recognition of natural flaws.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 제38회 하계학술대회
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• pp.95-96
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• 2007

Dissolved gas analysis (DGA) is one of the most widely used diagnostic tools for detecting and evaluating faults in electrical equipment. However, interpretation of DGA results is often complex and should always be done with care, involving experienced insulation maintenance personnel. KEPCO (Korea Electric Power Cooperation) has been using DGA technique since KEPCO established the criteria of DGA in 1985. In this paper, we introduce the DGA criteria of KEPCO and analyze the result of DGA. Also we sort pattern in result of DGA. Then, relation between pattern and inner inspection was studied. 67 DGA data was used for analyzing pattern. Some patterns have something to do with cause of incipient fault.

• 한국컴퓨터정보학회논문지
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• 제17권4호
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• pp.11-18
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• 2012

침입 탐지에 가장 시간이 많이 소요되는 작업은 패킷 데이터에 침입 패턴이 있는지를 검사하는 심층 패킷검사이다. 고속 네트워크에서 이 작업을 실시간으로 처리하기 위해서는 하드웨어 기반 패턴매칭이 필요하다. 본 논문에서는 침입탐지 시스템 구현에 하드웨어 기반 패턴매칭을 사용할 수 있도록 네트워크의 패킷을 수집하여 Snort 패턴규칙에 따라서 패턴매칭을 수행하고 결과를 소프트웨어에게 제공할 수 있도록 하는 하드웨어를 Virtex-6 FPGA를 사용하여 Microblaze 기반의 SoC 형태로 설계하여 구현하였다. 구현된 시스템은 인위적인 트래픽 생성과 실제 트래픽을 사용하여 동작을 검증하였고 패킷이 네트워크 인터페이스에서 메모리로 복사되는 동안 패턴매칭 동작을 정확하게 수행하여 소프트웨어에게 결과를 제공하였다. 본 연구 결과는 실시간 처리가 가능하도록 침입탐지 시스템을 고속화 하기위한 하드웨어로 사용될 수 있다.