• 산경연구논집
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• 제15권1호
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• pp.31-39
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• 2024

Purpose: Through an ethical supply chain, brands not only catch the eye but win over a fan base of consumers who prize credibility and consistency in what they purchase. Currently, the ethical supply chain is no longer just a manufacturing process; it has become a compelling story. It draws people's attention and wins their loyalty. This research study will examine the benefits of an ethical supply chain in attracting consumer attention and building brand loyalty. Research design, data and methodology: For this research study, A detailed method was used to search and analyze relevant articles. Initial searches used set terms in certain databases. Screening criteria were the thorough scrutiny of titles and abstracts to decide their relevance to the study at hand. Thus, to enhance the quality of data, duplicate entries were deleted. Results: Based on the analysis of the prior literature, the results highlight the power of ethical saliency, showing that consumers themselves are looking for and rewarding products that meet their ethical standards. This attention to ethically transparent brands, in turn, encourages more interest and interaction with them. Conclusions: Therefore, practitioners must transmit the firm's ethical standards through all channels of communication-investor relations materials and financial reports alike.

• 한국컴퓨터그래픽스학회논문지
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• 제14권3호
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• pp.1-9
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• 2008

본 논문에서는 전통적인 사진 기법에 기반하여 대비가 뚜렷한 흑백 영상을 얻기 위한 새로운 방법을 제안한다. 사진가들은 대비가 뚜렷한 흑백 사진을 얻기 위해 촬영 시 대비 필터(consrast filter)를 사용하여 특정 색이 부각된 흑백 필름을 얻고, 인화 시 버닝(burning)과 닷징(dodging) 같이 국지적 노출을 조절하는 기법을 사용하였다. 본 논문에서는 이러한 흑백 사진 기법에 대한 디지털 버전을 제안하고 이에 기반하여 영상의 시각적 특징을 최대한 유지하는 최적화 기법을 제안한다. 또한, 인접 픽셀간의 유사 가중치를 이용하여 경계를 감안한 연속적인 국지적 노출을 얻게 한다. 제안한 기법은 GPU상에서 구현 가능하며 메가픽셀 영상에 대해서도 시각적 특징을 유지하는 흑백 영상을 대화적 시간 안에 획득할 수 있다.

• 아동학회지
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• 제16권1호
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• pp.211-224
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• 1995

The grandmother role may be an important support network for dual-earner families and become more saliency among those children who are living with their grandmothers than those who are not. The purpose of the present study was to investigate the effects of family structure characteristics on children's solidarity with their grandmothers and grandmothers' effects on grandchildren's self-esteem. Questionnaire data were collected from 429 grandchildren in the fifth and sixth grades. The major findings showed that (1)Solidarity between grandmother and grandchild in dual-earner families was associated with living arrangement. (2)Children's self-esteem in dual-earner families was not related to living arrangements with their grandmother. (3)Factors predicting solidarity between grandmother and grandchild and the grandchild's self-esteem differed by living arrangement. Solidarity between grandmother and grandchild was explained by grandmother-mother relationships, health of grandmother, parent-children relationship and occupational status of father for children living with their grandmothers. For those children not living with their grandmothers, grandmother-mother relationship, the educational level of father, families' economic level, parent-child relationship and health of the grandmother were significant predictors of grandmother-grandchild solidarity. (4)The regression of predictor variables on self-esteem for children living with grandmother revealed that grandmother-grandchild solidarity was the most powerful predictor, followed by occupational status of father, the educational level of mother, economic status of the family and parent-child relationship. For those children who were not living with grandmothers, parent-child relationship, economic status of the family, grandmother-grandchild solidarity and the educational level of the mother were also significant factors in that order.

• 한국산학기술학회논문지
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• 제14권2호
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• pp.681-687
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• 2013

본 연구는 학습 환경의 실내 온도와 학습재료 색채와의 조합이 학습수행에 어떠한 영향을 미치는 지를 살펴보고자 하였다. 이를 위해 학습활동 적정온도($22.5{\sim}24^{\circ}C$)를 중심으로(중립 실내 온도 조건), 그 이상인 조건(고온 실내온도 조건), 그리고 그 이하인 조건(저온 실내 온도 조건)으로 각각 실내 온도 조건을 구분하였으며, 난색계열인 빨간색과 한색계열인 파란색, 그리고 중성인 검은색과 연두색으로 각각 색채 조건을 구분하였다. 학습과 관련된 과제로는 음운 작업기억 과제를 사용하여 집단 간 실내 온도 조건에 따른 색채 조건에서의 과제 수행을 살펴보았다. 그 결과, 학습과제의 반응시간에서는 각 독립변수들에 의한 차이가 유의하지 않은 반면, 정확률에서는 색채 조건 중 빨간색과 검은색 조건에서 보다 정확한 수행이 나타났다. 이는 빨간색이 가진 현저성과 색채 온도감 및 검정색이 가진 친숙성과 다른 색에 비해 유일하게 현저성을 가지지 않는 특이성이 존재하기 때문에 나타난 결과로 해석할 수 있다.

• 한국멀티미디어학회논문지
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• 제10권8호
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• pp.967-980
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• 2007

동영상에서의 관심 객체를 추출하는 것은 비디오 내용 분석과 비디오 검색 및 압축의 성능을 개선시키는데 큰 역할을 한다. 관심 객체는 단순히 사람 눈의 시선을 끄는 대상물이 아니라 내용전개의 중심이 되거나 제작자가 표현하려고 하는 핵심 객체를 의미한다. 이러한 관심 객체는 움직이는 객체뿐만 아니라 정지해 있는 객체도 될 수 있으나, 사람의 관심을 절차적으로 표현하는 것이 어렵기 때문에 관심 객체를 명확하게 정의하기가 곤란하다. 이에, 본 논문에서는 동영상 샷에서의 움직이는 객체의 위치, 크기, 움직임 패턴의 변화에 대한 조건을 정의하여 필터링에 의해 사람의 관심을 끄는 움직임 관심 객체를 추출하는 방법을 제시하고, 아울러 동영상 샷에서 정지되어 있는 객체에 대해서도 컬러/텍스처 특이성, 위치, 크기, 출현 빈도 등에 대한 조건을 정의하여 정지 관심 객체도 추출할 수 있는 방법을 제안한다. 제안한 방법을 50개의 동영상 샷에 대하여 실험한 결과, 사람이 선정한 움직임 및 정지 관심 객체를 84% 정도 추출할 수 있음을 확인할 수 있었다.

• 정보과학회 논문지
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• 제44권12호
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• pp.1282-1289
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• 2017

최근 심층 컨볼루션 신경망을 활용한 이미지 분할과 물체 위치감지 연구가 활발히 진행되고 있다. 특히 네트워크의 최상위 단에서 추출한 특징 지도뿐만 아니라, 중간 은닉 층들에서 추출한 특징 지도를 활용하면 더욱 정확한 물체 감지를 수행할 수 있고 이에 대한 연구 또한 활발하게 진행되고 있다. 이에 밝혀진 경험적 특성 중 하나로 중간 은닉 층마다 추출되는 특징 지도는 각기 다른 특성을 가지고 있다는 것이다. 그러나 모델이 깊어질수록 가능한 중간 연결과 이용할 수 있는 중간 층 특징 지도가 많아지는 반면, 어떠한 중간 층 연결이 물체 분할에 더욱 효과적일지에 대한 연구는 미비한 상황이다. 또한 중간층 연결 방식 및 중간층의 특징 지도에 대한 정확한 분석 또한 부족한 상황이다. 따라서 본 연구에서 최신 깊은 신경망에서 중간층 연결의 특성을 파악하고, 어떠한 중간 층 연결이 물체 감지에 최적의 성능을 보이는지, 그리고 중간 층 연결마다 특징은 어떠한지 밝혀내고자 한다. 그리고 이전 방식에 비해 더 깊은 신경망을 활용하는 물체 분할의 방법과 중간 연결의 방향을 제시한다.

• 대한인간공학회지
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• 제31권6호
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• pp.705-713
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• 2012

Objective: The aim of this study is to predict human visual target search using ACT-R cognitive architecture in real scene images. Background: Human uses both the method of bottom-up and top-down process at the same time using characteristics of image itself and knowledge about images. Modeling of human visual search also needs to include both processes. Method: In this study, visual target object search performance in real scene images was analyzed comparing experimental data and result of ACT-R model. 10 students participated in this experiment and the model was simulated ten times. This experiment was conducted in two conditions, indoor images and outdoor images. The ACT-R model considering the first saccade region through calculating the saliency map and spatial layout was established. Proposed model in this study used the guide of visual search and adopted visual search strategies according to the guide. Results: In the analysis results, no significant difference on performance time between model prediction and empirical data was found. Conclusion: The proposed ACT-R model is able to predict the human visual search process in real scene images using salience map and spatial layout. Application: This study is useful in conducting model-based evaluation in visual search, particularly in real images. Also, this study is able to adopt in diverse image processing program such as helper of the visually impaired.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권2호
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• pp.769-786
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• 2016

Object recognition and object location have always drawn much interest. Also, recently various computational models have been designed. One of the big issues in this domain is the lack of an appropriate model for extracting important part of the picture and estimating the object place in the same environments that caused low accuracy. To solve this problem, a new Salient Based Bag of Visual Word (SBBoVW) model for object recognition and object location estimation is presented. Contributions lied in the present study are two-fold. One is to introduce a new approach, which is a Salient Based Bag of Visual Word model (SBBoVW) to recognize difficult objects that have had low accuracy in previous methods. This method integrates SIFT features of the original and salient parts of pictures and fuses them together to generate better codebooks using bag of visual word method. The second contribution is to introduce a new algorithm for finding object place based on the salient map automatically. The performance evaluation on several data sets proves that the new approach outperforms other state-of-the-arts.

• 전기학회논문지
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• 제65권3호
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• pp.411-418
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• 2016

In accordance with global energy conservation policies such as MEPS(Minimum Energy Performance Standard), electric motor industry is moving to super-high-efficiency machines and research to develop IE4 (International Energy Efficiency Class4) motors has been launched. In this situation, SynRM (Synchronous Reluctance Motor) has been attracting attention in place of induction motor which hardly provides super premium efficiency. As a result, much research on SynRM is being performed at home and abroad. Also, some products have already been appearing in the market. Compared to induction motor, SynRM has better efficiency per unit area and wider operating range. Although the utilization of control system in synchronous motor results in higher prices, we still need to concentrate on developments of SynRM so as to comply with the new policies. This study demonstrated the electromagnetic design methods of super-premium SynRM while maintaining the frame of existing IE3 induction motor for blower. We documented the design procedures for generating high saliency which is the most essential and mechanical stress analysis is also treated. In conclusion, we proved the validity of our design by manufacturing and testing our SynRM models.

• International Journal of Computer Science & Network Security
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• 제24권2호
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• pp.158-168
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• 2024

There is hardly any person in modern times who has not taken soft drinks instead of drinking water. The rate of people taking soft drinks being surprisingly high, researchers around the world have cautioned from time to time that these drinks lead to weight gain, raise the risk of non-communicable diseases and so on. Therefore, in this work an image-based tool is developed to monitor the nutritional information of soft drinks by using deep convolutional neural network with transfer learning. At first, visual saliency, mean shift segmentation, thresholding and noise reduction technique, collectively known as 'pre-processing' are adopted to extract the location of drinks region. After removing backgrounds and segment out only the desired area from image, we impose Discrete Wavelength Transform (DWT) based resolution enhancement technique is applied to improve the quality of image. After that, transfer learning model is employed for the classification of drinks. Finally, nutrition value of each drink is estimated using Bag-of-Feature (BoF) based classification and Euclidean distance-based ratio calculation technique. To achieve this, a dataset is built with ten most consumed soft drinks in Bangladesh. These images were collected from imageNet dataset as well as internet and proposed method confirms that it has the ability to detect and recognize different types of drinks with an accuracy of 98.51%.