• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.1199-1202
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• 2022

본 논문에서는 최근 연구되고 있는 신경망 이미지 부호화(NNIC: Neural Network based Image Coding)를 위한 적응적 크기 조정을 이용한 블록 기반 신경망 이미지 부호화 알고리즘을 제안한다. 제안 방법은 이미지를 여러 개의 2N×2N 블록으로 분할한 후 분할된 각 블록에 대해 두 가지 크기 조정 모드 중 하나로 부호화를 수행한다. 첫번째 모드는 2N×2N 블록을 구성하는 4 개의 N×N 블록을 각각 NNIC 인코더의 입력으로 사용하는 모드 1(크기 미조정 모드)이며, 두번째 모드는 2N×2N 블록을 하나의 N×N 블록으로 다운 스케일링하여 NNIC 입력으로 사용하는 모드 2(크기 조정 모드)이다. 모드 결정은 비트율-왜곡 비용(Rate-distortion Cost)이 더 적도록 이루어진다. 블록 기반 부호화와 제안 알고리즘을 비교하면, BDBR 은 약 -1.75%, BDSNR 은 약 0.073dB 으로 제안 알고리즘에서 성능 향상이 나타났고, 픽처 부호화와 제안 알고리즘을을 비교하면 BDBR 은 약 0.57%, BDSNR 은 -0.029dB 로 픽처 부호화와 거의 유사한 성능을 보인다는 것을 확인할 수 있다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.664-666
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• 2004

본 논문에서는 영상의 누적분포함수(CDF: Cumulative Density Function)를 이용한 콘트라스트 향상 기법을 제안하였다 제안된 알고리즘은 처리된 영상에 영향물 주지 않으면서 최대 콘트라스트를 얻을 수 있었다. 하드웨어의 복잡성을 감소하기 위하여 누적분포함수의 샘플값을 이용한 선형화 방법을 이용하였다. 제안한 방식의 알고리즘 검증을 위하여 C를 이용하였으며, 처리 결과와 원 영상의 화질 평가를 위하여 시각적 검증과 히스토그램 편차를 도입하였다.

• Proceedings of the KAIS Fall Conference
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• 2010.05b
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• pp.1033-1036
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• 2010

본 연구는 한국 의료관광의 국제 경쟁력 향상을 위한 전략으로 한식의 도입가능성을 알아보고 이를 활용할 수 있는 방안을 제시하기 위한 목적으로 연구되었다. 연구 결과 한식은 의료관광에 있어서 잠재적 가능성이 높은 자원으로 활용이 가능하며, 이를 위한 전략으로 약선음식과 같은 전통음식을 차용한 의료관광상품의 개발, 한국 의료관광에 한식의 이미지 도입을 통한 차별화 전략을 제시하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.285-291
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• 2020

In manufacturing, humans are being replaced with robots, but expert skills remain difficult to convert to data, making them difficult to apply to industrial robots. One method is by visual motion recognition, but physical features may be judged differently depending on the image data. This study aimed to improve the accuracy of vision methods for estimating the posture of humans. Three OpenPose vision models were applied: MPII, COCO, and COCO+foot. To identify the effects of face-covering accessories and image preprocessing on the Convolutional Neural Network (CNN) structure, the presence/non-presence of accessories, image size, and filtering were set as the parameters affecting the identification of a human's posture. For each parameter, image data were applied to the three models, and the errors between the actual and predicted values, as well as the percentage correct keypoints (PCK), were calculated. The COCO+foot model showed the lowest sensitivity to all three parameters. A <50% (from 3024×4032 to 1512×2016 pixels) reduction in image size was considered acceptable. Emboss filtering, in combination with MPII, provided the best results (reduced error of <60 pixels).

• The Journal of the Korea Contents Association
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• v.11 no.8
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• pp.211-220
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• 2011

The study conducted a survey on the perception level for radiological technologists with 321 nurses and auxiliary nurses working at university hospitals in Busan in order to supply preliminary data to enhance the status as well as professional images of radiological technologists. The result shows the perception level of $3.02{\pm}0.42$ with the highest score for the professional image and the lowest score for the business image. By question, 'they are professional' gets the highest score while 'they understand problems of patients well' gets the lowest. Among respondents, those who are well aware of education courses as well as leading organization of examination and who answer as a health care provider or a medical technician under the medical law show a high level of perception while those who answer as technician show a low perception level. Those who agree with radiologists as a career and consider their status as high in medical institutions have a high level of perception. In order to improve the perception level, individuals as well as associations' promotion and strategies are required to fix the title and enhance the negative images through active interests and kind attitudes toward patients. Also, efforts to escape from previous images limited to technical colleges, to vitalize academic conference and remedial education, and to frame the law of professional radiological technologists system are asked to heighten the qualification and status of radiological technologists. More than that, advertising and monitoring via mass media are needed to develop the image as professional career men as well.

• Journal of Environmental Policy
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• v.13 no.3
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• pp.109-133
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• 2014

With a growing concern about climate change and green house gases mitigation, carbon labeling policy has been launched in several countries as an environmental policy which connects low carbon production to low carbon consumption. This research aims to propose a model that explains consumers' attitude and brand loyalty toward carbon labeling products. This model specifies the consumer's psychological processes by which consumer values, such as autonomy and environmental values, affect carbon labeling product and corporate images and finally form brand loyalty toward carbon labeling products. Panel data were collected in two separate surveys and analyzed using a structural equation technique. Results are summarized as follows. First, consumers' autonomy value(AV) positively affects locus of control(LC) and corporate image(CI). Second, consumers' environmental value(EV) positively influences perceived consumer effectiveness(PCE), which in turn has a negative effect on perceived barriers(PB). Perceived barriers finally affect product image(PI) negatively. Third, both corporate image and product image have causal relationships with brand loyalty. Our results suggest that carbon labeling policy contributes not only to the reduction of greenhouse gases but also to the increase of consumers' attitude and brand loyalty toward carbon labeling products. This research also provides governments with directions for efficient environmental policy and firms with guidance on effective marketing strategies about carbon labeling.

• Archives of design research
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• v.17 no.4
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• pp.233-240
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• 2004

Living in the modern age with well-developed scientific technologies, all of us are enjoying convenient lives because of 'energy'. Korea, poor in resources, is importing a large portion of its energy sources from abroad but energy consumption shows an upward tendency due to the continuing economic growth and the improvement of living conditions. The atomic energy is considered a self-reliant, alternative energy source like our country. However, it is necessary to educate the people on and publicize atomic power generation in the face of the widespread negative recognition that the atomic power plant is a hazardous facility. The study approaches to these matters with a human-friendly and environment-friendly coloring plan in the perspective of environment coloring plan. The study aims to minimize negative images of the atomic power, while highlighting its friendly and positive images so as to enhance the confidence of the people on the atomic power and to create a clean image for the atomic power. For this goal, the study examined and analyzed cases of Japanese nuclear power plants and domestic nuclear power plants, and also carried out an on-site survey in the sites in which nuclear power plants would be constructed to extract concrete colors through the analyses of their natural environment and actual conditions. The study also carried out a survey of residents in the regions to induce their participation, and reflected the survey results to the coloring plan. The study is expected to create a stable and friendly image of the nuclear power plant through materializing its environment-friendly image and remove negative recognition that the people have on the nuclear power plant. It also attempted an external environment-coloring plan a s a strategic means for positive publicity and through this, is expected to ultimately contribute to the creation of the new images of nuclear ower plants.

• Journal of Convergence for Information Technology
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• v.9 no.5
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• pp.55-64
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• 2019

The purpose of this study was to investigate levels of self-efficacy, nurse image, vocational identity, and clinical practice satisfaction, to examine relationships among them, and finally to investigate predictors affecting of clinical practice satisfaction in nursing students. The participants were 227 nursing students in D city who were surveyed in September 2018 using self-report questionnaires. Self-efficacy, nurse image, vocational identity, and clinical practice satisfaction were related positively among variables. In the multiple regression analysis, self-efficacy, nurse image, vocational identity, health condition, relationship with practical colleague and 'satisfaction of nursing students in patient's recognition of nursing students' were influential factors significantly associated with the clinical practice satisfaction. Those factors explained 17.9% of the clinical practice satisfaction of nursing students. The most important factors were 'satisfaction of nursing students in patient's recognition of nursing students' and nurse image. In order to improve clinical practice satisfaction of nursing students, whole nurses should consider helping nursing students and patients to build up positive nurse image.

• Quality Improvement in Health Care
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• v.17 no.1
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• pp.61-66
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• 2011

문제: 병원에서는 잘못 사용하는 신체 관련 언어, 문법적으로 틀린 말, 비속어, 지나친 겸양어, 잘못 사용하는 존칭어, 격에 안 맞는 준말 등으로 내부 및 외부 고객과의 의사전달이 정확하지 않은 경우가 흔히 있다. 병원 직원의 부적절한 언어 사용은 외부 고객 유치 및 유지를 방해하며, 병원의 이미지 실추와도 관련이 있다. 목적: 바른 언어 표현법 매뉴얼과 동영상 구축 및 활용으로 내부 및 외부 고객의 만족도를 향상시키고자 한다. 의료기관: 서울시 종로구에 소재한 대학병원 질 향상 활동: 바른 언어 표현법 매뉴얼 구축 후 동영상을 완성하여 병원의 모든 직원들이 학습하여 활용할 수 있도록 하였다. 개선효과: 바른 언어 표현법을 잘 학습하면 바른 언어를 사용하는 습관을 가지게 되어 의사전달이 명확해지고 표현이 풍부해지며 상호간 이해하는 폭이 넓어져 내부 고객 및 외부 고객의 만족도가 향상될 것이다. 또한 병원직원 전체 언어생활의 품격이 높아질 뿐만 아니라 병원의 위상도 높아질 것이다.

• Journal of KIISE
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• v.41 no.11
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• pp.943-957
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• 2014

Removing noise, called denoising, is an essential factor for the more intuitive and more accurate results in boundary image matching. This paper deals with a partial denoising problem that tries to allow a limited amount of partial noise embedded in boundary images. To solve this problem, we first define partial denoising time-series which can be generated from an original image time-series by removing a variety of partial noises and propose an efficient mechanism that quickly obtains those partial denoising time-series in the time-series domain rather than the image domain. We next present the partial denoising distance, which is the minimum distance from a query time-series to all possible partial denoising time-series generated from a data time-series, and we use this partial denoising distance as a similarity measure in boundary image matching. Using the partial denoising distance, however, incurs a severe computational overhead since there are a large number of partial denoising time-series to be considered. To solve this problem, we derive a tight lower bound for the partial denoising distance and formally prove its correctness. We also propose range and k-NN search algorithms exploiting the partial denoising distance in boundary image matching. Through extensive experiments, we finally show that our lower bound-based approach improves search performance by up to an order of magnitude in partial denoising-based boundary image matching.