풀은 인류의 역사 이전에서부터 존재하였던 생명체였다. 인간의 역사보다도 풀의 역사가 훨씬 오래되었다. 풀은 먹을 수 있는 식용의 채소와 인위적이 아닌 자연발생적으로 생겨나는 잡초로 크게 나누어진다. 사찰음 식을 위한 재료를 준비하는 단계에서 풀은 식용의 채소이든지 자연발생적으로 생겨나는 잡초이든지 사찰음식의 제작과 완성의 과정, 시작과 끝 지점에 위치해 있는 중요한 반야행의 대상이다. 풀에 대한 불교와 선학의 관점에서 바라보는 시각은 역사적으로 시간대별로 변화해 왔다. 불교학이 발생한 시간은 얼마 되지 않았기에 불교학적으로 풀을 논의하고 철학적으로 풀에 대한 논의를 한다는 것은 과거의 역사 속에서 불타의 생존 시에 수행자와 불타가 바라본 풀에 대한 시각과 관점을 재해석하는 것이며, 또한 당조 시대를 중심으로 한 선종의 조사들이 풀을 바라보는 시각의 차이점에 대해 논의하는 것을 궁극적으로 의미하는 것이다. 따라서 이 글 에서 불교의 역사 속에서 풀에 대한 시각적인 변화의 과정을 철학적으로 접근하여 학문적으로 해석하며 평가하여 그 의의를 논의하고자 한다. 이 연구가 지니는 의미는 사찰음식의 본질적인 의미에 대한 자연회귀와 선의 시각의 철학적인 해석과 맞물려있는 것이다. 그 원인은 풀에 대한 시 각의 변화를 초래한 궁극적인 불교음식문화가 사찰음식이기 때문이다. 그리고 풀은 지구상에서 어느 곳에서나 존재하는 가장 흔하게 볼 수 있으 면서 값진 지구의 가장 큰 환경의 재산이기 때문이다. 이 환경의 재산에 대한 시각의 차이점을 철학적으로 논의한 연구는 아직 존재하지 않았다. 따라서 이 글에서 풀에 대한 철학적인 논의로 접근하여 제시하여 보고자 하는 것이다. 풀은 인류와 지구의 환경의 파수꾼임을 인식하는 것은 인간 의 환경에 대한 이해와 풀에 대한 철학적인 가치를 음미하는 중요한 논의인 것이다.

This study presents the estimation of crack depth by analyzing temperatures extracted from thermal images and environmental parameters such as air temperature, air humidity, illumination. The statistics of all acquired features and the correlation coefficient among thermal images and environmental parameters are presented. The concrete crack depths were predicted by four different machine learning models: Multi-Layer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB), and AdaBoost (AB). The machine learning algorithms are validated by the coefficient of determination, accuracy, and Mean Absolute Percentage Error (MAPE). The AB model had a great performance among the four models due to the non-linearity of features and weak learner aggregation with weights on misclassified data. The maximum depth 11 of the base estimator in the AB model is efficient with high performance with 97.6% of accuracy and 0.07% of MAPE. Feature importances, permutation importance, and partial dependence are analyzed in the AB model. The results show that the marginal effect of air humidity, crack depth, and crack temperature in order is higher than that of the others.

PURPOSES : This study proposes a method to automatically analyze the shape of asphalt concrete aggregate using computer image analysis technology. METHODS : To develop automatic aggregate shape analysis technology, we developed an aggregate shape boundary analysis algorithm that combines Watershed algorithm and morphology technology. After the algorithm was developed, it was mounted on a separate prototype and compared with the manual aggregate shape analysis method. RESULTS : As a result of the algorithm comparison, the accuracy of the aggregate shape analysis was about 90%, and there was a problem that some noise occurred. This problem was derived from external roughness, the shape of the overlapped aggregate, and sand as the main causes. Therefore, we devised a method to analyze the shape of the aggregate by adjusting the external illuminance constant or using an artificial intelligence model. CONCLUSIONS : The results of this study can be used as basic research data to help improve quality control techniques in the production of asphalt concrete in the future.

중국의 관광산업은 이미 도상학과 스마트문화관광 체험의 단계에 들어섰으며, 특별한 관광이미지는 점차 목표 관광객의 시선을 끌뿐 아니라 여행지의 경쟁력을 높이는 핵심 요인이 되었다. 계림 여행지 이미지 조사의 과학성과 지향성을 한 층 더 높이기 위해 계림을 방문한 관광객과 현지 관광객을 대상으로 설문조사를 실시하였다. 특히 본 연구에서는 독립 t-검증과 설명적 통계량 그리고 IPA 를 통해 계림 관광객의 탐방 중요도와 만족도에 대한 비교 분석을 실시함으로써 관광객들이 계림시 관광이미지에 대한 지각 특성을 분석하고자 하였다. 계림 관광객들은 자연경관을 주축으로, 인문경관을 부축으로 하는 여행환경 인지가 드러났지만 인문경관에 대한 향유와 체험인식은 부족한 것으로 나타났다. 또한 계림 여행지 이미지의 IPA 분석 결과, 사회치안 및 교통편리성에 대한 만족도가 중요도에 비해 낮은 편으로 중점 개선해야 할 중요 요인으로 밝혀졌다. 또한 계림 여행지 이미지 최적화 전략, 계림시 여행지 이미지 확보와 홍보·개선 등 뉴미디어 마케팅의 보완이 필요한 것으로 드러났으며, 이밖에 교통 인프라와 치안 문제 또한 시급히 개선해야 할 문제로 건의하였다.

The objective of this study was to develop a fashion therapy program for improving body image and self-esteem among male workers. Accordingly, the demand for fashion therapy programs was examined by conducting a literature review, survey, and in-depth interviews with men working in the Daegu and Gyeongbuk areas. The results are summarized as follows. The fashion therapy program followed a framework of “introduction-development-final” and was 60 minutes in length, for four sessions (one per week). The contents of the program consisted of a study of the participants’ appearance and any concerns they had about their body in Session 1. In Session 2, differences in image perception were examined according to color coding of menswear and personal color. Session 3 comprised understanding what styling is required to supplement men’s body shape and what style is suitable for each participant. The content of Session 4 determined how to build social performance or positive image using nonverbal elements. Overall, this study has great significance in that it has developed a study on fashion therapy program originally applied for psychological treatment with women that has been adapted as a program to help improve positive emotions and social competitiveness of male workers in an office environment.

The important thing in the field of deep learning is to find out the appropriate hyper-parameter for image classification. In this study, the main objective is to investigate the performance of various hyper-parameters in a convolutional neural network model based on the image classification problem. The dataset was obtained from the Kaggle dataset. The experiment was conducted through different hyper-parameters. For this proposal, Stochastic Gradient Descent without momentum (SGD), Adaptive Moment Estimation (Adam), Adagrad, Adamax optimizer, and the number of batch sizes (16, 32, 64, 120), and the number of epochs (50, 100, 150) were considered as hyper-parameters to determine the losses and accuracy of a model. In addition, Binary Cross-entropy Loss Function (BCLF) was used for evaluating the performance of a model. In this study, the VGG16 convolutional neural network was used for image classification. Empirical results demonstrated that a model had minimum losses obtain by Adagrad optimizer in the case of 16 batch sizes and 50 epochs. In addition, the SGD with a 32 batch sizes and 150 epochs and the Adam with a 64 batch sizes and 50 epochs had the best performance based on the loss value during the training process. Interestingly, the accuracy was higher while performing the Adagrad and Adamax optimizer with a 120 batch sizes and 150 epochs. In this study, the Adagrad optimizer with a 120 batch sizes and 150 epochs performed slightly better among those optimizers. In addition, an increasing number of epochs can improve the performance of accuracy. It can help to create a broader scope for further experiments on several datasets to perceive the suitable hyper-parameters for the convolutional neural network. Dataset: https://www.kaggle.com/c/dogs-vs-cats/data

본 논문에서는 제인 오스틴의 『오만과 편견』과 『맨스필드 장원』의 성직자 인물들을 중심으로 19세기 초반 영국 성직자의 모습과 종교적 분위기를 살펴보 고자 한다. 무책임하고 이기적인 성직자의 전형인 『오만과 편견』의 윌리엄 콜린즈 목사에 대한 풍자를 통해 작가는 도덕적 해이에 빠져 세속화된 목사들의 타락상을 비판하고 교회의 도덕적 각성을 요구하고 있다. 『맨스필드 장원』에서 오스틴은 도덕성과 소명의식, 사회적 책임감을 갖춘 에드먼드 버트람이라는 바람직한 성직자 상을 형상화함으로써 복음주의 운동으로 불붙여진 성직 쇄신과 교회의 정화에 대한 당대의 사회적 요구를 더욱 적극적으로 반영하였다. 아울러 작가는 두 성직자 인물들의 대조적인 가정생활의 성격을 통하여 성직자로서의 자질과 사적 영역인 가정생활의 행복 간의 밀접한 관계에 대하여서도 깊은 관심을 보인다.

The purpose of this study was to investigate brand slognas that are effective in explaining how brand identity affects consumers. The effect of congruity between brand slogan and self-image (low and high) on attitude to slogans and brands were anaylzed. The moderating effect of self-monitoring (low and high) was also investigated. Survey data from 177 people in their 20s-30s were analyzed through descriptive statistics, exploratory factor analysis, and two-way ANOVA. First, congruity between slogan and self-image had a positive effect on both slogan and brand attitude. In other words, the higher the congruity between slogan and self-image, the more positive the attitude toward the slogan and brand. Second, no interactive effect was found in congruity between slogan and self-image and self-monitoring on slogan attitude; however it was identified for brand attitude. Again, in a group with high congruity between slogan and self-image, attitude toward the brand was more positive when self-monitoring was higher than when it was low. In conclusion, brand slogans that can represent the self-image of highly self-monitoring consumers are effective. In particular, this is meaningful as it has revealed its relationship with the impact of identity self-image congruity and self-monitoring on brand attitudes in fashion brands. These results offer meaningful guidance in determining brand slogans according to consumers’ personal characteristics.

PURPOSES : This study uses deep learning image classification models and vehicle-mounted cameras to detect types of pavement distress — such as potholes, spalling, punch-outs, and patching damage — which require urgent maintenance. METHODS : For the automatic detection of pavement distress, the optimal mount location on a vehicle for a regular action camera was first determined. Using the orthogonal projection of obliquely captured surface images, morphological operations, and multi-blob image processing, candidate distressed pavement images were extracted from road surface images of a 16,036 km in-lane distance. Next, the distressed pavement images classified by experts were trained and tested for evaluation by three deep learning convolutional neural network (CNN) models: GoogLeNet, AlexNet, and VGGNet. The CNN models were image classification tools used to identify and extract the combined features of the target images via deep layers. Here, a data augmentation technique was applied to produce big distress data for training. Third, the dimensions of the detected distressed pavement patches were computed to estimate the quantity of repair materials needed. RESULTS : It was found that installing cameras 1.8 m above the ground on the exterior rear of the vehicle could provide clear pavement surface images with a resolution of 1 cm per pixel. The sensitivity analysis results of the trained GoogLeNet, AlexNet, and VGGNet models were 93 %, 86 %, and 72 %, respectively, compared to 62.7 % for the dimensional computation. Following readjustment of the image categories in the GoogLeNet model, distress detection sensitivity increased to 94.6 %. CONCLUSIONS : These findings support urgent maintenance by sending the detected distressed pavement images with the dimensions of the distressed patches and GPS coordinates to local maintenance offices in real-time.

Live-streaming commerce business is growing as the consumption of video content and Smartphone shopping increases. This study examines the following three aspects: whether para-social interaction influences perceived interactivity; whether seller trust affects satisfaction with the experience; whether relationships are controlled by a moderated mediator of self-image congruity. An online survey was conducted with 203 women aged 20-30 years. They were asked to respond to the survey after watching a beauty category live-streaming commerce broadcast. The results revealed that the para-social interaction had a significant effect on perceived interactivity, seller trust and satisfaction with the experience. The findings also indicated that the perceived interactivity and seller trust mediated the relationship between para-social interaction and satisfaction with the experience. Regarding the mediated moderation effect of self-image congruity, it was statistically significant between para-social interaction and perceived interactivity through seller trust. A higher level of consumer’s self-image congruity influenced the greater effect of para-social interaction on live commerce experience. This study makes important theoretical contributions to the para-social interaction in mobile commerce industry by emphasizing the mediating role of perceived interactivity and seller trust. This is achieved by examining the moderating effects of self-congruity on satisfaction with the experience. The results also verify the seller’s crucial role in live-streaming commerce market which leads to the consumers greater fulfillment.

The image of “Ocean” in Li Bai’s poems is mostly constructed from the external images of the ocean and his inner emotional images to show the beauty of “words beyond the meaning”. Some of Li Bai’s poems about “ocean” were written near the ocean based on his feeling, but most of them were about “virtual ocean”, which was the illusory ocean in his mind through bold imagination and exaggeration based on the allusions. Some of them expressed his depression or his perception about life, or expressed his feelings through allusions and the ocean of immortals. The image of the ocean in his works was just like himself. From this point of view, the image of the ocean is more like “materialized poet himself”. While describing and expressing the ocean, the poet was more like expressing himself. Li Bai sighed in his The 35th Ancient Style Poem that “Thinking of Emperor Wen of Zhou Dynasty in reading Taiga, and the influence of Song have collapsed for a long time." On the principle of style and creation, Li Bai inherited the “self” in Li Sao and the “elegance”, “beauty” and “reality” spirits of the Book of Songs. Therefore, this paper takes the text of Fifty-nine Ancient Style Poems as the subject, and starting from the “image of the ocean” involved in it, analyzes the poet’s inner feelings and inner mind through the “image of the ocean”.

Under the new social background of the close relationship between intellectuals and businessman in the Ming Dynasty, “Sanyan and Erpai” broke the role design paradigm of opposition between intellectuals and businessman and shaped it in the works the new role of the integration of intellectuals and businessman. The design of this role is a true reflection of the convection phenomenon of social scholars and merchants at that time, and has new characteristics of the times. Different from ordinary intellectuals and ordinary businessmen, they have all experienced the choice of seeking official positions and doing business at the same time in their lives. They have the same skills in terms of mannerism, business spirit, and management wisdom. Different characteristics of the general merchant roles portrayed in literary works. In the late Ming Dynasty, the dual social characteristics of respecting Confucianism and respecting officials at the same time attaching importance to the commodity economy were the social roots of the author's design of this role. This role was also of practical significance on the stage of the real society at that time.

본 연구는 서울시에 조성되어 있는 수직정원공간의 경관적 이미지를 파악하고 향후 수직정원 을 효과적으로 유지하기 위해서 어떠한 변수 들이 중요한 역할을 하는지를 확인하기 위한 목적 으로 수행되었다. 대상은 네이처리퍼블릭 명동유네스코점과 돈의문박물관마을 외벽의 수직정 원이고 네이버 설문조사 툴을 이용하여 조사를 시행하였다. 분석기법은 기술통계분석과 인자 분석 및 다중회귀분석을 실시하였다. 네이처리퍼블릭 명동점 전면부 수직정원에 대한 시각적 이미지 평가는 깨끗하고 아름다우며 흥미로운 공간이미지를 구축하고 있는 것으로 파악되었 다 ‘신비로운-신비롭지 않은’, ‘연속적인-단절된’ 등의 변인은 상대적으로 낮은 평가치를 보이 고 있는 바 이는 명동 한복판의 독립된 사각형 건물로 인한 영향으로 생각된다. 돈의문박물관 마을 수직정원은 특이하고 아름다운 경관으로 인지됨을 볼 수 있다. 반면 ‘높은-낮은’, ‘넓은- 좁은’, ‘정돈된-정돈되지 않은’ 등의 변인은 다소 부정적 의미의 평가를 받았다. 모두 4개의 인 자군으로 공간이미지가 함축되어 분석되었고 전체 변량 중 이들 인자군의 설명력은 69.88%였 으며 30.20%는 오차변량과 특수변량이라 볼 수 있다. 인자분석 결과를 토대로 수직정원의 시각 적 이미지를 설명하는 인자를 ‘특이성인자’, ‘자연성인자’, ‘정연성인자’, ‘개방성인자’ 등 4개로 분류하였다. 수직정원 경관에 대한 시각선호에 가장 영향을 높게 미치는 변인은 자연성인자 및 정연성인자로 나타나 수직정원의 전반적인 경관이미지가 자연적 아름다움에 의해 좌우되고 있 음을 보여주고 있다.

Tis study was an attempt to systematically analyze the characteristics of modern Korean food styling using the menu image photos of the Michelin Guide Seoul 2020 restaurants. The first sampling was conducted on the 27th of March 2020 and the second on the 27th of October 2020. A collection of images on the web and 442 photographic cases obtained by a search through theoretical background literature and research papers were studied by a qualitative analysis method. First, the food styling contents were analyzed and based on that, the food styling characteristics of the menus of 11 restaurants in Korea including the contemporary restaurants were considered. The analysis revealed several aspects of Korean food styling. First, food styling appeared to have three major characteristics: color, shape, and container styling. Color styling was further subdivided into single color/similar color, color contrast, source type, and accent color type. The shape/formative styling was classified into figure type, shape type, accessory type, and garnish type, and container styling was categorized as container color type, container shape type, and container material type. Second, the modern Korean food color styling characteristics of Michelin restaurants were categorized in the order of monochromatic/similar type, sauce type, accent color type, and color contrast. In the formative styling category, it was categorized in the order of shape type, small piece type, garnish/garnish type, and figure type. In container styling, container material type and formative type accounted for the major portion of the category. The food styling characteristics of the modern Korean menu were systematized and image examples were presented visually. Please use it as food styling educational material or personal food styling skill.