• 여성건강간호학회지
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• 제11권1호
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• pp.67-76
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• 2005

Purpose: This study was to identify the influence of sexual behavior, body image, social support, and other characteristics on sexual satisfaction in patients with breast cancer according to their participation in a support group. Method: Data was collected by self-report questionnaires. Participants included 63 patients attending a support group and 76 patients who did not participate in the support group. The questionnaire sections consisted of sexual satisfaction, sexual behavior, body image, social support and information on general characteristics, disease-related characteristics, and sexual life-related characteristics. Result: There was no statistically significant difference in sexual behavior, body image and sexual satisfaction between the two groups. Social support scores were significantly higher in the support group. Sexual satisfaction was positively related with sexual behavior, post-op change of sexual intercourse frequency, body image, and patient's education level, and negatively related to age in the support group. Sexual satisfaction was positively related with sexual behavior, social support and body image in the non support group. Sexual behavior is predictable 37.0% of sexual satisfaction in the support group. Sexual behavior, body image, and social support is predictable for 38.0% of the sexual satisfaction in non support group participants. Conclusion: Implications point to the need for the development and implementation of programs that focus specifically on sexual life issues for breast cancer patients, as well as further research measuring the effects of such intervention programs. Continuous education and counseling through participation in support groups can contribute to promote and affirm a healthy sexual life for patients with breast cancer.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2006년도 가을 학술발표논문집 Vol.33 No.2 (C)
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• pp.218-221
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• 2006

본 논문은 인터넷의 대표적인 문제점중의 하나인 Adult Image 분류 연구에 대해 기술한다. 특히 우리는 이러한 Adult Image를 분류하기 위한 Data Set을 5가지 타입으로 구성한다. 이러한 각 Image에 대해 Color, Gradient, Edge Direction 특성의 Feature들을 추출하고 이를 Histogram으로 구성한다. 이렇게 구성된 Histogram을 Support Vector Machine에 적용하여 Adult Image를 분류한다. 그 결과, 우리는 8250개의 Test Set에 대하여 Recall(96.53%), Precision(97.33%), False Positive(2.96%), F-Measure(96.93%)의 성능 결과를 보여준다.

• 대한간호학회지
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• 제35권7호
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• pp.1343-1352
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• 2005

Purpose: This study was designed to identify the degree of self-image and social support among Korean-Chinese adolescents and investigate the relationship between these variables. Method: A total of 621 Korean-Chinese adolescents in five middle schools in YanBian, China were recruited from March 1st to the 9th, 2005. Data was analysed using descriptive statistics, Pearson correlation coefficient, t-test, and ANOVA with the SPSS 11.5 program. Result: In Korean-Chinese adolescents, the total self-image score was statistically different for age, parents' education status, parents' job and living with parents. In the 12 subscales, scoresof emotional tone, impulse control, sexuality, social functioning, vocational attitudes and self-reliance had significant differences between groups regarding gender. The total self-image was in the average range. However, areas of mental health and family function were lower than average and the scale of idealism washigher than average. The adolescents perceived parent's support was higher then friend's support. There was a positive correlation between self-image and social support. Conclusion: The findings suggest there is a need to examine self-image and social support of Korean- Chinese adolescents according to their parents' marital status and a need to develop a program to help these broken family's adolescents.

• 항공우주산업기술동향
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• 제8권1호
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• pp.25-32
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• 2010

2006년에 발사된 다목적실용위성 2호는 다목적실용위성 1호에 비해 공간해상도가 43.5배나 향상되어 영상의 활용도가 높아졌다. 이에 위성영상 상용화 지원을 위하여 다목적실용위성 사용자 지원팀(KOCUST; KOMPSAT Customer & User Support Team)을 구성하여 상용화 운영 절차를 정립하고 각 절차에 상응하는 업무를 정의하고 위상영상 상용화 지원시스템을 구축하였다. 현재 영상운영지원팀에서 다양한 수요자에 맞게 지속적으로 위성영상 상용화 지원시스템을 구축 및 개발하고 있다. 본 연구에서는 현재까지 개발된 상용 수요자에 맞는 지원시스템의 구성 및 기능과 이와 관련된 운영업무를 기술하고 향후 개발방향을 논의해보고자 한다.

• 한국정보기술학회논문지
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• 제15권12호
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• pp.165-171
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• 2017

본 논문은 서포터 생성 기법으로 형태학적 기하학 연산을 대신하여 층 단면 영상에 형태학적 영상 처리를 적용함으로 서포터를 생성하는 방법을 제안하였다. 기하학적 연산 비용은 일반적으로 형태에 의존적이지만 본 방법은 영상 내의 형태에 무관하게 적용된다. 돌출부에 대한 외부 서포터 영역을 얻는 방법으로 2개의 층 단면 영상에 대한 형태학적 영상 처리 방법 및 처리 과정의 예를 보였다. 내부 서포터 영역에 대하여 하나의 층 단면으로부터 침식과 열림을 통해 얻는 과정을 나타내었다. 그리고 이러한 서포터 영역을 얻고 서포터 구조를 통한 서포터를 생성하였다. 이어서 제작한 DLP 프린터에 서포터 구조를 가진 조형물을 제작하였다. 또, 서포터 형태에 따라 조형되는 소재의 특성이 조형에 주는 변화를 통해 소재에 따른 개별적인 서포터 구조를 통한 서포터 생성 방법의 필요성을 확인하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제2권3호
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• pp.150-170
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• 2008

In recent years, main focus of research on image retrieval techniques is on content-based image retrieval. Text-based image retrieval schemes, on the other hand, provide semantic support and efficient retrieval of matching images. In this paper, based on Formal Concept Analysis (FCA), we propose a new image indexing and retrieval technique. The proposed scheme uses keywords and textual annotations and provides semantic support with fast retrieval of images. Retrieval efficiency in this scheme is independent of the number of images in the database and depends only on the number of attributes. This scheme provides dynamic support for addition of new images in the database and can be adopted to find images with any number of matching attributes.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.808-811
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• 2006

The KOMPSAT-2 was developed by KARI and it was successfully launched from Plesetsk, Russia on 28th July 2006. The Korean government decided the commercialization of the KOMPSAT-2 image data and direct reception services worldwide. SPOT Image, based in Toulouse (France) was selected by KARI through an international open bidding as a foreign company for the KOMPSAT-2 image promotion over the entire world except the territory of Republic of Korea including the North Korea, the United States of America, UAE, Saudi Arabia, Kuwait, Qatar, Oman, Yemen, Egypt, Iran, Iraq, Jordan, Lebanon, and Syria. KAI (Korea Aerospace Industry Ltd.) is an engaged Korean company for this area. KARI has responsibility to operate the satellite, data acquisition, archiving for the worldwide commercialization. For the processing and delivery of the KOMPSAT-2 image data to the users of KAI and SPOT Image, KAI has the binding contract with KARI. So KAI has the responsibility for the commercial ground station operation such as user support, data processing, and the data delivery. The KOMPSAT-2 ground station is hosted in KARI, so KARI has developed the concept of KOCUST (KOMPSAT-2 Commercial User Support Team) jointly with KAI to support the data processing and delivery as KOMPSAT-2 developer and satellite operator. The main purpose of the KOCUST is to support the operational activities to provide the data and service quality to satisfy customers. KOCUST will be organized by the members of KARI and KAI together. KARI members will mainly take the role of KOCUST coordination, data processing and user support in a public sector. KAI members are going to take user desk, data validation and delivery et cetera, which are related with users. This paper describes a summarized concepts of KOCUST like organization, dedicated tasks of each part and work flow of daily operation.

• 한국산학기술학회논문지
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• 제9권6호
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• pp.1889-1893
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• 2008

본 논문은 영상 분류 문제를 위한 support vector machines (SVMs)의 적용을 통한 분류의 성능을 다루고 있다. 본 연구에서는 영상 분류 문제에서 자연영상을 대상으로 색상, 질감, 형상 특징벡터를 추출하고, 각각의 특징벡터와 이들을 결합한 특징벡터를 사용하여 역전파 신경망과 SVM 기반의 방법을 적용하여 영상 분류의 정확성을 비교한다. 실험결과는 각각의 특징벡터중에는 색상 특징벡터값을 이용한 영상 분류가 그리고 각각의 특징벡터보다는 이들을 결합한 특징벡터를 이용한 영상 분류가 보다 우수함을 보여준다. 그리고 알고리즘간의 비교에서는 정확성과 일반화성능 측면에서 역전파 신경망보다 SVMs이 우수함을 보였다.

• Journal of Information Processing Systems
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• 제18권1호
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• pp.48-58
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• 2022

Blind restoration for motion-blurred images is always the research hotspot, and the key for the blind restoration is the accurate blur kernel (BK) estimation. Therefore, to achieve high-quality blind image restoration, this thesis presents a novel windowed-total-variation method. The proposed method is based on the spatial scale of edges but not amplitude, and the proposed method thus can extract useful image edges for accurate BK estimation, and then recover high-quality clear images. A large number of experiments prove the superiority.

• 반도체디스플레이기술학회지
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• 제10권3호
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• pp.75-81
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• 2011

This paper presents a novel method for image classification based on a hybrid genetic algorithm (GA) and support vector machine (SVM) approach which can significantly improve the classification performance for content-based image retrieval (CBIR). Though SVM has been widely applied to CBIR, it has some problems such as the kernel parameters setting and feature subset selection of SVM which impact the classification accuracy in the learning process. This study aims at simultaneously optimizing the parameters of SVM and feature subset without degrading the classification accuracy of SVM using GA for CBIR. Using the hybrid GA and SVM model, we can classify more images in the database effectively. Experiments were carried out on a large-size database of images and experiment results show that the classification accuracy of conventional SVM may be improved significantly by using the proposed model. We also found that the proposed model outperformed all the other models such as neural network and typical SVM models.