• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.377-386
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• 2020

The image of beauty professionals who have wide contact with consumers is an important factor that can increase satisfaction and loyalty in consumers by exerting a positive influence on them. The purpose of this study is to investigate the influence of, and relationships among, self-esteem, positive thinking, and job commitment on image-making efficacy in beauty professionals. The method and scope of this study were carried out by theoretical research related to image-making efficacy, positive thinking, self-esteem, job engagement, and survey research with beauty professionals located in Seoul and the Gyeonggi-do area. We used SPSS v. 23.0 and Amos v. 23.0 to analyze demographic characteristics, the coefficient of internal consistency of the survey items, descriptive statistics, Pearson's correlation, and the Sobel Test. The results of the study show that the image-making efficacy of beauty professionals had a positive (+) effect on self-esteem, positive thinking, and job commitment. Second, self-esteem in beauty professionals was found to exert a positive effect (+) on their positive thinking and job commitment. Third, positive thinking by beauty professionals contributed to a positive effect (+) on job commitment. Fourth, the study found that self-esteem and positive thinking mediated the relationship between beauty professionals' image-making efficacy and job commitment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.6
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• pp.192-198
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• 2016

The purpose of this study was to determine the relationship between the brand and awareness of the brand image relationship in a catering company in Gwangju quality(trust, satisfaction). Twenty adults aged 20 years or older residing in Gwangju were surveyed after setting a hypothesis as a convenience sampling method in order to achieve the research objectives via extraction of the sample survey and empirical analysis. Customers using the brand image of catering companies in a relationship significantly affected the quality of the relationship (trust) forming symbolic images, but the images that were empirically related significantly to the trust did not form a significant relationship for trust. Brand image quality significantly impacted the relationship(satisfaction) that is the symbolic image of relations forms a significant relationship between satisfaction. Empirically, however, the image did not form a significant relationship for satisfaction. Brand recognition is significant in relationship quality(trust) and a significant relationship brand recognition, as it has formed a significant relationship on trust. Brand recognition is the quality of the catering companies using the customer significant effect on the relationship (satisfaction) relationship of brand recognition was formed a significant relationship satisfaction. As a result, the catering company's brand image, brand perception and empirical validation suggested a relationship between the quality of the relationship that provided very significant implications in this regard. In the future, overcoming the limitations of this study will necessitate conducting a more in-depth and detailed study.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.103-109
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• 2017

We explored the influence of educational service quality on university image, student satisfaction, and word of mouth, as well as the causal association between university image, student satisfaction, and word of mouth. Second-order structural model testing was conducted with 274 questionnaires being used to analyze the hypotheses. The findings demonstrated, first, that educational service quality positively affected university image, student satisfaction, and word of mouth. The important sub-dimensions of educational service quality were teaching method, followed by lecture content, professor attitude, and communication through the second-order structural analysis. Second, university image positively affected student satisfaction and word of mouth. Third, student satisfaction positively affected word of mouth. Finally, for factor loading, the results of educational service quality indicated that teaching method(0.972) and lecture content(0.934) were the key factors in estimating the quality, revealing their significant and positive impact on university image, student satisfaction, and word of mouth. Thus, service providers should strengthen the teaching method and lecture content of educational service quality to enhance the university image, student satisfaction, and word of mouth of university performance from the perspective of university students.

• Journal of Information Management
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• v.42 no.3
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• pp.71-94
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• 2011

Query by visual example is the principal query paradigm for expressing queries in a content-based image retrieval environment. Query by image and query by sketch have long been purported as being viable methods of query formulation yet there is little empirical evidence to support their efficacy in facilitating query formulation. The ability of the searcher to express their information problem to an information retrieval system is fundamental to the retrieval process. The aim of this research was to investigate the query by image and query by sketch methods in supporting a range of information problems through a usability experiment in order to contribute to the gap in knowledge regarding the relationship between searchers' information problems and the query methods required to support efficient and effective visual query formulation. The results of the experiment suggest that query by image is a viable approach to visual query formulation. In contrast, the results strongly suggest that there is a significant mismatch between the searchers information problems and the expressive power of the query by sketch paradigm in supporting visual query formulation. The results of a usability experiment focusing on efficiency (time), effectiveness (errors) and user satisfaction show that there was a significant difference, p<0.001, between the two query methods on all three measures: time (Z=-3.597, p<0.001), errors (Z=-3.317, p<0.001), and satisfaction (Z=-10.223, p<0.001). The results also show that there was a significant difference in participants perceived usefulness of the query tools Z=-4.672, p<0.001.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.25 no.3
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• pp.101-118
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• 2014

Given the context of rapid developing ubiquitous computing environment, it is imperative for users to search and use images based on affective meanings. However, it has been difficult to index affective meanings of image since emotions of image are substantially subjective and highly abstract. In addition, utilizing low level features of image for indexing affective meanings of image has been limited for high level concepts of image. To facilitate the access points of affective meanings of image, this study aims to utilize user-provided responses of images. For a data set, emotional words are collected and cleaned from twenty participants with a set of fifteen images, three images for each of basic emotions, love, sad, fear, anger, and happy. A total of 399 unique emotion words are revealed and 1,093 times appeared in this data set. Through co-word analysis and network analysis of emotional words from users' responses, this study demonstrates expanded word sets for five basic emotions. The expanded word sets are characterized with adjective expression and action/behavior expression.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.6
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• pp.1243-1248
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• 2006

Object tracking in a real time image is one of interesting subjects in computer vision and many practical application fields past couple of years. But sometimes existing systems cannot find object by recognize background noise as object. This paper proposes a method of object detection and tracking using adaptive background image in real time. To detect object which does not influenced by illumination and remove noise in background image, this system generates adaptive background image by real time background image updating. This system detects object using the difference between background image and input image from camera. After setting up MBR(minimum bounding rectangle) using the internal point of detected object, the system tracks object through this MBR. In addition, this paper evaluates the test result about performance of proposed method as compared with existing tracking algorithm.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2000.11a
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• pp.233-243
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• 2000

대부분의 현존하는 인터넷쇼핑몰은 평면적인 2차원으로 운영되고 있으나 최근 가상현실(Virtual Reality)을 이용하여 웹에 적용시키는 기법들이 속속 선보이게 되었다. 현재의 3D기술은 크게 사진 이미지를 기반으로 방식과 폴리곤(Polygon)을 기반으로 하는 3차원 모델링 기술의 두 가지로 구분할 수 있다. 이들 기법은 각각 장단점이 있으며 이들을 이용하는 사이트들 역시 이용하는 기법에 따라 다소간의 문제점들을 노출하고 있다. 본 논문에서는 사진 이미지 기법을 이용하는 부분은 현재 브라우저에서 기본적으로 지원하는 자바를 이용하여 구현했으며, 네비게이션이나 물체의 3차원 렌더링 구현 등은 java3d를 이용하여 상호간의 상반되는 단점들을 최소화하였다. 사용자는 Java3d로 구현된 3차원 쇼핑몰 내에서 원하는 물체를 클릭하여 위에서 언급한 2가지 방식으로 살펴볼 수 있다. 사진 이미지 형식으로 구현된 제품은 이미 실세계의 전자상거래 쇼핑몰에서 구현되었으며, 3차원 모델링으로 구현된 제품은 VRML97, OBJ, 3DS 등의 화일 포맷을 Java3d 로더를 이용하여 다양한 방식으로 구현하여 기존 방식과의 차별화 및 성능 향상을 꾀하였다.

• Proceedings of the KAIS Fall Conference
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• 2008.11a
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• pp.257-259
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• 2008

자연이미지에 내포된 텍스트는 많은 정보를 제공함으로 이를 효과적으로 검출하여 다양한 응용분야에 활용될 수 있다. 본 논문에서는 텍스트 영역의 에지 특징과 국부 최소/최대 변환을 이용하여 자연이미지로부터 텍스트 영역 검출 방법을 제안한다. 에지 검출은 캐니-에지 검출기로 추출하고, 국부 최소/최대 변환을 이용하여 텍스트 영역의 연결성분을 추출한다. 각각 추출된 에지 및 연결성분으로부터 텍스트 영역 후보를 검출하고, 각각의 결과를 결합하여 최종적인 텍스트 후보 영역을 검출하고, 후보 텍스트 영역에 대한 검증을 수행함으로서 최종적인 텍스트 영역을 검출한다. 제안한 방법은 다양한 종류의 자연이미지를 대상으로 실험한 결과, 에지 및 연결성분의 두 가지 특징을 결합함으로서 자연이미지에 존재하는 다양한 형태의 텍스트 영역을 효과적으로 검출하였다.

• Annual Conference of KIPS
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• 2024.05a
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• pp.229-230
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• 2024

최근 드론으로 극한 환경에서 범죄 수배자 및 실종자를 탐색하는 시도가 활발하다. 이때 생체 인증 기술인 얼굴 인증 기술을 사용하면 탐색 효율이 높아지지만, 암호화되지 않은 인증 프로토콜 적용 시 생체 정보 유출의 위험이 있다. 본 논문에서는 드론이 수집한 얼굴 이미지 템플릿을 암호화하여 안전하게 인증할 수 있는 효율적인 생체 인증 프레임워크인 DF-PPHDM(Privacy-Preserving Hamming Distance biometric Matching for Drone-collected Facial images)을 제안한다. 수집된 얼굴 이미지는 암호문 형태로 서버에 전달되며 서버는 기존 등록된 암호화된 템플릿과의 Hamming distance 분석을 통해 검증한다. 제안한 DF-PPHDM을 RaspberryPI 4B 환경에서 직접 실험하여 분석한 결과, 한정된 리소스를 소유한 드론에서 효율적인 구현이 가능하며, 인증 단계에서 7.83~155.03 ㎲ (microseconds)가 소요된다는 것을 입증하였다. 더불어 서버는 드론이 전송한 암호문으로부터 생체 정보를 복구할 수 없으므로 프라이버시 침해 문제를 예방할 수 있다. 향후 DF-PPHDM에 AI(Artificial Intelligence)를 결합하여 자동화 기능을 추가하고 코드 최적화를 통해 성능을 향상시킬 예정이다.

• Proceedings of the KAIS Fall Conference
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• 2008.11a
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• pp.281-283
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• 2008

오늘날 대학환경은 과거에 비해 급변해 가고 있다. 특히, 대학경영의 어려움을 극복하기 위해서 대학경쟁력 강화 방안과 대학 이미지 제고와 같은 중장기 발전계획을 수립하고 있다. 특히, 학생 및 대학에서는 취업률 목표에 사활을 걸고 이는 실정이다. 기존의 취업안내 및 공지하던 형태에서 학생에게 맞는 맞춤형 취업 서비스 모델이 요구되는 실정이다. 이에 많은 대학에서는 유비쿼터스 캠퍼스 (u-Campus) 구축을 통해 대외적인 대학이미지 제고와 학생에게 보다 편리한 서비스를 제공하기 위해 노력하고 있다. 그러나, 현재 구축되고 있는 유비쿼터스 캠퍼스의 서비스 환경은 학생들을 위한 효율적인 서비스가 제공되지 못하고 있으며 신기술의 도입이나 연구개발을 통한 기술적 성격이 짙은 형태로 구축되고 있는 현실이다. 이에 본 논문에서는 유비쿼터스 캠퍼스를 구성하는 가장 중요한 요소인 모바일을 이용한 학생 중심의 맞춤형 취업 서비스 모델을 제안한다. 제시한 모델을 기반으로 유비쿼터스 캠퍼스의 여러 서비스 등에서도 활용할 수 있다.