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      • 연속적 수직 에지 검출 기법

        한성지,한영준,한헌수 제어로봇시스템학회 2009 제어로봇시스템학회 합동학술대회 논문집 Vol.2009 No.12

        This paper present a continuous vertical edge detection method. Because the existing method applies just one threshold to each pixel when the edge image is transformed into binary image, the edge is often disconnected. In this paper, we used two kinds of different masks and two kinds of different threshold. By using these masks and thresholds, we determine the range of vertical edge. So we could detect the continuous vertical edge lines. We show the robustness of this method as comparing with other edge detection methods.

      • KCI등재후보

        50·60대 여성의 라이프스타일에 따른 의복구매동기와 정보원천에 관한 연구

        한성지,김문숙 服飾文化學會 2002 服飾文化硏究 Vol.10 No.2

        The purpose of this study were to analyze the lifestyle of women in their 50's and 60's and to provide the basis for the efficient strategy of silver market by classifying women in their 50's and 60's according to lifestyle types and investigating the effect of consumers' lifestyle and demographic characteristics on consumers' clothing buying motives and information sources. In this study, a self-administered questionnaire was distributed to women in their 50's and 60's. 226 questionnaires of 350 were used in the following analysis. The data were analyzed with the SPSS package. The results of this study were as follows. First, lifestyle were analyzed to find out the underlying factors, and then the subjects were grouped according to factor scores by the cluster analysis. Four lifestyle types were defined. They were the traditional family-oriented, the ostentatious purchase, the economical material-oriented, the active economics-oriented type. Second, a consumer's buying motives and information sources in buying clothing were significantly different depending on the consumer's lifestyle. The ostentatious purchase type attached importance to impurse buying and in diversion in clothing buying motives and display in information sources. The economics-oriented type attached importance to worn out clothing in buying motives.

      • 니트산업 활성화를 위한 구매자의 의사결정 특성 연구

        한성지,김문숙 복식문화학회 2001 服飾文化硏究 Vol.9 No.2

        The purpose of this study was to investigate the effect of demographics and general buying characteristics of knitwear consumers on their buying decision-making process. In this study, a self-administered questionnaire was distributed to young career women and female undergraduate students. Of 580 questionnaires, 496 were used in the following analysis. The data was analyzed with SPSS package. T-test, one-way ANOVA and χ2 analysis were used to investigate the impact of characteristics of the consumers on their buying decision-making process. The results of this study were as follows. First, the knitwear buying motives of consumers were significantly different depending on their demographics. The high school graduate-career women group, relative to other groups, showed significant differences in practical aspects in buying knitwear, Second, the knitwear buying places of consumers were significantly different depending on their demographics and general buying characteristics of knitwear. The higher annual knitwear buying expenses and the lower knitwear buying frequency, the more a consumer shopped in department stores. Third, the knitwear satisfaction level of consumers was significantly different depending on their demographics and general buying characteristics of knitwear. Career women relative to female undergraduate students showed significant differences in satisfaction with design, quality and yarns. Key words : demographics, general buying characteristics of knitwear, buying decision-making process.

      • KCI등재후보

        50·60대 여성의 라이프스타일에 따른 의복구매행동에 관한 연구 : 의복평가기준과 구매장소를 중심으로

        한성지,양리나,김문숙 服飾文化學會 2002 服飾文化硏究 Vol.10 No.5

        The purposes of this study were to analyze the lifestyle of women in their 50's and 60's to provide the basis for the efficient strategy of silver market by classifying women in their 50's and 60's according to lifestyle types and investigating the effect of consumers' lifestyle and demographic characteristics on consumers' clothing evaluation criteria and buying place. In this study, a self-administered questionnaire was distributed to women in their 50's and 60's. 226 questionnaires of 350 were used in the following analysis. The data were analyzed with the SPSS package. The results of this study were as follows. First, lifestyle were analyzed to find out the underlying factors. and then the subjects were grouped according to factor scores by the cluster analysis. Four lifestyle types were defined. They were the traditional family-oriented, the ostentatious purchase, the economical material-oriented, the active economics-oriented type. Second, a consumer's clothing evaluation criteria were classified according to three characteristics - aesthetic, practical and ostentatious. A consumer's clothing evaluation criteria were significantly different depending on the consumer's lifestyle and demographic characteristics. All lifestyle types except ostentatious purchase type considered practical characteristic like easiness of washing/care, harmony with other clothing, quality and price. The higher education, income and clothing expense, the more a customer considered ostentatious characteristic like fashionability and reputation of brand in selection of clothing.

      • 그린 마케팅 차원에서 본 의류제품

        한성지,김문숙 서울여자대학교 자연과학연구소 1996 자연과학연구논문집 Vol.7 No.-

        The research is to observe the apparel products through green marketing perspective. Apparel is different from general recycling product, and especially the characteristics of apparel have an importance to not only function but also aesthetics. So we have difficulties to adopt green marketing in apparel products. But there are several apparel companies which has environmental consciousness in Germany. These companies use Life Cycle Analysis(LCA) from merchandising to recycling. Although the cost of products are somewhat higher than others, Germany readily purchase these brands. To conserve and survive in the international apparel industry, Korean must accept the LCA process. For this, Korean government, company and comsumer must understand the concept of green marketing. Most of all, conscious consumer is most important.

      • KCI등재

        Multi-body dynamics model for spent nuclear fuel transportation system under normal transport test conditions

        한성지,정길언,이현빈,최우석,김진균 한국원자력학회 2023 Nuclear Engineering and Technology Vol.55 No.11

        The transportation of spent nuclear fuel is an important process that involves road and sea transport from an interim storage facility to storage and final disposal sites. As spent nuclear fuel poses a significant risk, carefully evaluating its vibration and shock characteristics under normal transport conditions is essential. In this regard, full-scale multi-modal transport tests (MMTT) have been conducted domestically and internationally. In this paper, we discuss the process of developing a multi-body dynamics (MBD) model to analytically simulate conditions that cannot be considered in tests. The MBD model is based on the KORAD-21 transportation system was validated using the Korean MMTT results from 2020 to 2021. This paper summarizes the details of the development and verification of the MBD model for the KORAD-21 transportation system under normal transport test conditions. This approach can be applicable to various transportation scenarios and systems, and the results of this study will help to ensure that nuclear fuel transportation is conducted safely and effectively

      • KCI등재

        유연 다물체 동역학 시스템의 실시간 해석을 위한 DNN 기반 메타모델링 기법

        한성지(Seongji Han),최희선(Hee-Sun Choi),최주환(Juhwan Choi),최진환(Jin Hwan Choi),김진균(Jin-Gyun Kim) 대한기계학회 2021 大韓機械學會論文集A Vol.45 No.10

        본 연구에서는 유연 다물체 동역학 시스템에 포함된 유연체의 절점 위치, 응력 및 변형률을 지정된 설계 변수 입력을 통해 실시간으로 얻기 위한 심층신경망 기반 메타모델링 기법을 제시하였다. 유연체의 거동을 학습시키기 위해 적절한 형태의 입력 및 출력 데이터 구조를 구성하였으며, 수많은 유연체 절점 자유도로 인한 데이터 증가로 발생하는 학습 시간을 단축하기 위한 효율적인 훈련 알고리즘을 개발하였다. 알고리즘은 확률적 경사 하강(SGD: stochastic gradient descent) 단계와 오차 보정 단계로 구성되며, 전체 데이터의 일부만을 사용하여 학습된다. 확률적 경사 하강 단계에서 심층신경망은 거친 데이터 모음(coarse data set)을 사용하여 순차적/반복적으로 학습되며, 이 과정에서 심층신경망 모델의 개선이 충분하지 않은 경우 오차 보정 단계를 통해 정확도를 추가적으로 향상시킬 수 있다. 개발된 알고리즘의 효율성 및 정확성, 실시간성을 수치 예제를 통해 확인하였다. In this study, a deep neural network-based metamodeling technique is proposed to obtain the positions, stresses, and strains of the nodes of a flexible body in real-time using the input of designated design variables for the flexible multibody dynamics systems. To train the responses of a flexible body, an appropriate type of input and output data structure is constructed, and an efficient training algorithm is developed to reduce the computational resources caused by data increase owing to the numerous degrees of freedom of nodes in the flexible body. The algorithm includes a stochastic gradient descent (SGD) step and an error correction step, and the deep neural network model is trained using only a part of the entire data. In the SGD step, the model is trained sequentially and iteratively using a coarse data set. As the iterations proceed, when the improvement of the model is insufficient, the accuracy is further improved by an error correction step. The efficiency, accuracy, and the possibility of real-time simulation of the proposed algorithm are presented through a numerical example.

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