• 한국광학회지
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• 제14권4호
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• pp.383-391
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• 2003

개인의 신원정보 보호를 위하여 새로운 광 정보보호 시스템을 제안하였다. 개인 신원정보의 확인과 인증을 위하여 얼굴영상과 개인식별번호로 구성된 신원정보를 사용하였다. 영상 암호화는 4-f 광상관기의 입력과 푸리에영역에서 랜덤위상패턴을 사용하는 위상암호화 기술을 사용하였다. 그렇지만 암호화된 영상을 복원하는 과정에서 개인의 신원정보가 유출될 가능성이 있다. 이에 대처하기 위하여 신원확인 과정에서 영상을 복원하지 않고 암호화된 영상을 그대로 사용하였다. 암호화된 개인식별번호는 제안된 MMACE_p 필터를 사용하여 분류ㆍ인식하였고, 개인정보의 인증은 OWMF를 사용하여 얼굴영상의 상관치를 구하여 확인하였다. 제안된 MMACE_p 필터는 10개의 암호화된 숫자를 한꺼번에 인식할 수 있도록 4개의 MACE_p필터를 다중화하여 합성하였고, OWMF는 얼굴영상의 분리인식 능력과 SNR을 향상시킬 수 있도록 하였다. 컴퓨터 시뮤레이션을 통하여 제안된 정보보호기술이 개인신원정보 보호에 적용될 수 있음을 보였다.

• 마케팅과학연구
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• 제17권3호
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• pp.21-37
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• 2007

This research investigates relationships between a company's corporate image and consumer attitudes toward brands in the company. It also examines the fit between a company and its individual products and consumer-company identification as intervening variables between the relationships. Data for this research were collected from 347 undergraduate students through a survey. They were asked to provide their perceptions on two brands for each of 8 large Korean companies. The results indicate that corporate image directly influences brand trust, whereas it does not affect brand trust indirectly, through company-product fit. Also, the results indicate that corporate image does not directly influence brand affect, whereas it does influence brand affect indirectly, through consumer-company identification.

• 전자공학회논문지
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• 제53권3호
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• pp.91-98
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• 2016

소나 영상에서 수중 물체의 검출과 분류는 도전적인 과제이다. 본 논문에서는 소나 영상과 영상처리기법을 이용하여 해저의 물체를 식별하는 시스템을 제안한다. 수중 물체의 식별 과정은 수중 물체 후보 영역 검출과 물체 식별의 두 단계로 구성된다. 영상 정합(image registration) 기법을 이용하여 수중 물체 후보 영역을 검출하고, 기존에 획득된 기준 배경 영상과 현재 스캔된 영상 사이의 공통된 특징점을 검출하여 정합한 후, 두 영상의 차 영상(difference image)을 구하여 검출한다. 검출된 물체는 고유벡터와 고유값을 특징으로 사용하여 데이터베이스내의 패턴과 가장 유사한 패턴으로 분류한다. 제안하는 수중 물체 식별 시스템은 최단 소행 항로(Q route) 확보와 같은 응용에 효율적으로 사용될 수 있을 것으로 기대된다.

• 한국콘텐츠학회논문지
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• 제8권5호
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• pp.215-223
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• 2008

본 연구는 세무공무원들을 대상으로 세무업무의 전문분야의 특성상 전문인으로서의 자긍심과 외부이미지 그리고 조직 동일시가 조직몰입에 어떤 영향을 미치는지를 실증적으로 검증한 연구이다. 검증결과, 자긍심과 외부이미지 그리고 조직 동일시에 대한 만족도가 높을수록 조직몰입도가 높아진다는 것을 알 수 있었다. 높아져가는 국민들의 세금에 대한 관심과 시대적인 요구에 적극적으로 부응하기 위해서는 세무전문인으로서의 자긍심과 세무행정의 외부이미지 제고를 위한 본질적이고 실질적인 노력이 필요하다. 그리고 조직이 효과적으로 기능하기 위해 조직 구성원간에 조직 동일시를 일으킬 수 있도록 하여 조직몰입을 증대시킨다면 조직성과의 향상을 가져올 수 있을 것으로 판단된다.

• 한국의류산업학회지
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• 제15권1호
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• pp.12-21
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• 2013

This study examines the effectiveness of brand awareness, brand image and brand identification on brand loyalty for the Nike brand. The subjects of this study were 336 elementary school boys. The statistical methods used for this study were factor analysis, Cronbach's alpha analysis, confirmatory factor analysis and path analysis with SPSS 19.0 and AMOS 19.0. The results of this study were as follows. First, brand awareness had a direct effect on brand image and brand loyalty. Brand awareness also had an indirect effect on brand loyalty. Second, brand image directly or indirectly influenced brand loyalty as well as directly influenced brand identification. Third, brand identification directly influenced brand loyalty. The $5^{th}$ grade group and $6^{th}$ grade group had different paths; however, the most powerful path was the same as brand awareness to brand image. The results of this study will help fashion companies understand the importance of new consumer groups in their early teens or elementary school.

• KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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• 제5B권4호
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• pp.350-357
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• 2005

This paper presents a mechanical sensorless vector-controlled system with parameter identification by the aid of image processor. Based on the flux observer and the model reference adaptive system method, the proposed sensorless system includes rotor speed estimation and stator resistance identification using flux errors. Since the mathematical model of this system is constructed in a synchronously rotating reference frame, a linear model is easily derived for analyzing the system stability, including motor operating state and parameter variations. Because it is difficult to identify rotor resistance simultaneously while estimating rotor speed, a low-accuracy image processor is used to measure the mechanical axis position for calculating the rotor speed at a steady-state operation. The rotor resistance is identified by the error between the estimated speed using the estimated flux and the calculated speed using the image processor. Finally, the validity of this proposed system has been proven through experimentation.

• 반도체디스플레이기술학회지
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• 제19권1호
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• pp.6-10
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• 2020

Unlike modern photography technology, in the early days, efforts to physically compose an image with a concept similar to the current photograph have not been popular or commercially successful. The limitation of the use of images as artistic media or recordings has reached the stage of introducing the technology of image analysis to automate the function that humans recognize and judge through vision. In addition, the accuracy of the image has exceeded the human visual ability, enabling the technology that enables the step of recognizing and informing the fact that the human is not aware of it. Based on such a base, the range that can be applied through the image data in the future era can be said to be unpredictable, and the technology that targets large scale image database instead of an image is also expanding the possibilities as a new application technology. In order to identify a particular image from a massive database, different methodologies have been introduced. In this paper, we discuss image identifier production methods based on multi-resolution pyramid.

• 대한임베디드공학회논문지
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• 제6권1호
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• pp.48-54
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• 2011

As personal or compact devices with image acquisition functionality are becoming easily available for common users, the voluminous images that need to be managed by image related services or systems demand efficient and effective methods in the perspective of image identification. The objective of image identification is to associate an image with a unique identifier. Moreover, whenever an image identifier needs to be regenerated, the newly generated identifier should be consistent. In this paper, we propose three image identifier generation methods utilizing image features: linear component, luminance area, and combination of both features. The linear component based method exploits the information of distribution of partial lines over an image, while the luminance area based method utilizes the partition of an image into a number of small areas according to the same luminance degree. The third method is proposed in order to take advantage of both former methods. In this paper, we also demonstrate the experimental evaluations for uniqueness and similarity analysis that have shown favorable results.

• 한국전기전자재료학회논문지
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• 제33권4호
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• pp.303-309
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• 2020

This study proposes a crack identification algorithm to analyze the surface condition of porcelain insulators and to efficiently visualize cracks. The proposed image processing algorithm for crack identification consists of two primary steps. In the first step, the brightness is eliminated by converting the image to the lab color space. Then, the background is removed by the K-means clustering method. After that, the optimum image treatment is applied using morphological image processing and median filtering to remove unnecessary noise, such as blobs. In the second step, the preprocessed image is converted to grayscale, and any cracks present in the image are identified. Next, the region properties, such as the number of pixels and the ratio of the major to the minor axis, are used to separate the cracks from the noise. Using this image processing algorithm, the precision of crack identification for all the sample images was approximately 80%, and the F1 score was approximately 70. Thus, this method can be helpful for efficient crack monitoring.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1999년도 제14차 학술회의논문집
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• pp.234-237
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• 1999

In this paper, a new method for identification of two-dimensional(2D) impulse response is presented. As is well known, identification of 2D impulse response is an important and necessary theme for image processing or signal processing. Here, the authors extend M-transform which has been proposed by some of the authors to 2D case where an image is used instead of signal, and M-array is used instead of M-sequence. Firstly, we show that 2D impulse response can be obtained by use of M-array. Next 2D M-transform is defined where any 2D image can be considered to be the output of 2D filter whose input is 2D M-array. Simulation results show the effectiveness of identification of 2D impulse response by either using M-array or by 2D M-transform.