• Title/Summary/Keyword: semantic elements

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Content Analysis of Food and Nutrition Unit in High School Textbooks of Home Economics: Focus on the National Curriculums from 7th to 2015 Revised (고등학교 '기술·가정' 교과 식생활 영역의 교육내용 분석: 제7차 교육과정부터 2015 개정 교육과정까지의 교과서 내용을 중심으로)

  • Park, Chae Eun;Kim, Yoo Kyeong
    • Journal of Korean Home Economics Education Association
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    • v.31 no.4
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    • pp.97-113
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    • 2019
  • This study is focused on the examination of changes in textbooks of Home Economics in High school from 7st to 2015 curriculum, especially the 'Food and Nutrition section. We investigated the content elements of the National Curriculum Guide, the changes in learning contents, and the number of pages of Food and Nutrition section. The key words were extracted and the connective relationships between words were visualized using a method of language network analysis through word cloud and Semantic Network Analysis. According to the results of the research, the portion of the Food and Nutrition section has been gradually decreased on the Technology·Home Economics, following the development of the curriculum. Through the whole curriculum, 'invitation', 'Korean food', 'baby·nutrition' are appeared as key words. The education contents of Food and Nutrition section from the 7th to 2015 revised have been developed and advanced with the changes of social needs. However, the reduction of portion and insufficiency of content elements of Food and Nutrition section bring concerns toward the decline of the quality of education on dietary life.

Meaning Structure of Green Infrastructure - A Literature Review about Definitions - (그린인프라스트럭처의 의미구조 - 기존문헌의 정의문 분석을 중심으로 -)

  • Lee, Eun-Sek;Noh, Cho-Won;Sung, Jong-Sang
    • Journal of the Korean Institute of Landscape Architecture
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    • v.42 no.2
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    • pp.65-76
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    • 2014
  • Green Infrastructure(GI) is suggested to recover urban water circulation system as a newly conceptual alternative methodology by Korean landscape field in recent years. In this context, the study considers the essential meaning of GI. The methodology of this study is literature review with 47 published papers which were peer-reviewed in international journals in the recent 5 years. These papers were collected from online database and academic archives. The main analysis targets are definition sentences about GI. The each sentences were interpreted by semantic structure between verbs and objects in the definition sentences. As the results, it figured out 5 aims('Provide', 'Improve', 'Produce', 'Conserve', 'Reduce'), 4 objects('Humanistic', 'Environmental', 'Ecological', 'Hydrological') and 3 spaces('Object space', 'Technically available spaces', 'Object or technically available spaces'). The '5 aims' connected with the elements of '4 objects' based on the '3 spaces'. The elements was connected to the '5 aims' via single form or 2~3 forms of the essential meaning networks of GI. The study provides 83 meaning networks to use landscape architecture planning and urban planning.

Analysis of Urban-to-Rural Migrants' Perceptions of the 'Everyday Landscape' Using Diary-Based Text Mining (일기를 통해 본 귀농·귀촌인 '일상 경관' 인식 - 텍스트 마이닝 적용 -)

  • OH Jungshim
    • Korean Journal of Heritage: History & Science
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    • v.57 no.3
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    • pp.184-199
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    • 2024
  • This study was conducted in response to the global trend of emphasizing the importance of "everyday landscapes", focusing on the perspective of those who have returned to rural life. With a focus on the case of Gokseong-gun in Jeollanam-do, 460 diaries written by these individuals were collected and analyzed using text mining techniques such as "frequency analysis", "topic modeling", and "sentiment analysis". The analysis of noun morphemes was interpreted from a cognitive aspect, while adjective morphemes were interpreted from an emotional aspect. In particular, this study applied semantic network analysis to overcome the limitations of existing sentiment analysis, and extracted a word network list and examined the content of nouns connected to adjectives that express emotions to identify the targets and contents of sentiments. This method represents a differentiated approach that is not commonly found in existing research. One of the intriguing findings is that the urban-to-rural migrants identified everyday landscapes such as "flowers on neighborhood walking paths", "harvest of a garden", "neighborhood events", and "cozy cafe spaces" as important. These elements all contain visual and enjoyable aspects of everyday landscapes. Currently, many rural villages are attempting to add visual elements to their everyday landscapes by unifying roof colors or painting murals on walls. However, such artificial measures do not necessarily leave a lasting impression on people. A critical review of current policies and systems is necessary. This research is significant because it is the first to study everyday landscapes from the perspective of urban-to-rural migration using diaries and text mining. With a lack of domestic research on everyday landscapes, this study hopes to contribute to the activation of related research in Korea.

Abstraction Method of Sensibility Factors for Streetscape Design (도로경관 설계를 위한 감성요인 추출 방법에 관한 연구)

  • Lee, Byung-Joo;Kim, Myung-Soo;Jo, Kyung-Do;NamGung, Moon
    • International Journal of Highway Engineering
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    • v.12 no.2
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    • pp.51-61
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    • 2010
  • According as the quality of life is improved along with economic growth, in the road plan and design sector also, it is now progressed that function oriented design is changed into the landscape oriented design that considers eyesight and emotion, which are psychological properties of users. Accordingly this study tries to come up with reasonable and objective methods to extract various emotional adjectives, which were found by the survey, while minimizing difference among characteristics of emotion and cognition of individuals. First, given semantic differential, based on various emotional adjectives that were found through the survey with the scale up to five points, the author extracted representative emotional adjectives through an element analysis, which is a conventional method of the previous research, and through an identification analysis which is suggested by this study, and then established model I of Quantification. And by using the established quantification model, the author presumed satisfaction degree, and through verifying pair wise comparison with actual satisfaction degree, the author found the results from identification and correlation analysis methods are most similar to actual satisfaction degree. As a result, the author could check the above emotional and correlation analyses were appropriate methods for comprehending which emotional elements are applicable when a continuous road landscape is designed by identification and correlation analyses.

Implementation of the Metadata Registry-based Framework for Semantic Interoperability of Application in Ubiquitous Environment (유비쿼터스 환경에서 어플리케이션의 의미 상호운용성을 위한 메타데이터 레지스트리 기반의 프레임워크 구현)

  • Kim, Jeong-Dong;Jeong, Dong-Won;Kim, Jin-Hyung;Baik, Doo-Kwon
    • Journal of the Korea Society for Simulation
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    • v.16 no.1
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    • pp.11-19
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    • 2007
  • Under ubiquitous environment, applications can gather and utilize various sensing information. There are many issues such as energy management, protocol standardization, independency on sensor fields, and security to be resolved for the complete ubiquitous computing. Especially, the independent information access in the sensor field is one of the most important issues to maximize the usability of sensors in various sensor fields. However, existing frameworks are not suitable for the ubiquitous computing environment because of data heterogeneity between data elements in sensor fields. Existing applications are dependent to sensor fields and sensors in the existing ubiquitous computing on environment is dependent to the application in the sensor field. In other word, an application can utilize just information from a specific sensor field. To overcome this restriction, many issues from a hardware or software view must be resolved. In this paper, we provide the design and implementation of the Metadata Registry-based framework (UbiMDR) of the Ubiquitous environment. This framework can provides the semantic interoperability among ubiquitous applications or various sensor fields. In addition, we describe comparison evaluation between conventional Ubiquitous computing framework and UbiMDR framework with data accuracy of interoperability.

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Exploring the Cognitive Factors that Affect Pedestrian-Vehicle Crashes in Seoul, Korea : Application of Deep Learning Semantic Segmentation (서울시 보행자 교통사고에 영향을 미치는 인지적 요인 분석 : 딥러닝 기반의 의미론적 분할기법을 적용하여)

  • Ko, Dong-Won;Park, Seung-Hoon;Lee, Chang-Woo
    • The Journal of the Korea Contents Association
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    • v.22 no.5
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    • pp.288-304
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    • 2022
  • Walking is an eco-friendly and sustainable means of transportation that promotes health and endurance. Despite the positive health benefits of walking, pedestrian safety is a serious problem in Korea. Therefore, it is necessary to investigate with various studies to reduce pedestrian-vehicle crashes. In this study, the cognitive characteristics affecting pedestrian-vehicle crashes were considered by applying deep learning semantic segmentation. The main results are as follows. First, it was found that the risk of pedestrian-vehicle crashes increased when the ratio of buildings among cognitive factors increased and when the ratio of vegetation and the ratio of sky decreased. Second, the humps were shown to reduce the risk of pedestrian-related collisions. Third, the risk of pedestrian-vehicle crashes was found to increase in areas with many neighborhood roads with lower hierarchy. Fourth, traffic lights, crosswalks, and traffic signs do not have a practical effect on reducing pedestrian-vehicle crashes. This study considered existing physical neighborhood environmental factors as well as factors in cognitive aspects that comprise the visual elements of the streetscape. In fact, the cognitive characteristics were shown to have an effect on the occurrence of pedestrian- related collisions. Therefore, it is expected that this study will be used as fundamental research to create a pedestrian-friendly urban environment considering cognitive characteristics in the future.

Evaluating the Impact of Walkability Environments on Leisure Walking Using Google Street View and Deep Learning - A Case Study of Yongsan District, Seoul - (구글 스트리트 뷰와 딥러닝을 활용한 보행 친화적 환경이 여가보행에 미치는 영향 평가 - 서울특별시 용산구를 대상으로 -)

  • Lee, Da-Yeon;Lee, Ji-Yun;Lee, Jae Ho
    • Journal of the Korean Institute of Landscape Architecture
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    • v.52 no.4
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    • pp.45-55
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    • 2024
  • This study aims to distinguish between utilitarian walking and leisure walking activities and analyze the correlation between these types of walking and the walking environment. To measure the walking environment, we utilized Google Street View (GSV) and employed semantic segmentation deep learning techniques to quantitatively assess urban walking environment elements as perceived by pedestrians. A survey was conducted to measure utilitarian walking, leisure walking, and perceived walking environment satisfaction, collecting valid responses from 192 participants. Using the survey data, we visualized utilitarian walking, leisure walking, and perceived walking environment satisfaction, and analyzed the correlation between these variables and the walkability scores. The results indicated that leisure walking had a significant positive correlation with walkability (Pearson's r = 0.121, p-value = 0.012), while there was no significant correlation between utilitarian walking and walkability (Pearson's r = 0.093, p-value = 0.055). These findings suggest that people prioritize mobility efficiency over the walking environment for utilitarian walking, whereas the quality of the walking environment significantly influences the frequency of leisure walking. Based on these results, the study proposes specific strategies to improve the walking environment around residential areas to promote leisure walking. These strategies include creating vertical gardens or various forms of three-dimensional gardens on narrow walkways and improving sidewalk design. The findings of this study can contribute to promoting leisure walking by creating walk-friendly environments, ultimately enhancing urban sustainability and the quality of life for residents.

The Effect of Elements of Apparel Design on Impression Formation Part I : Emphasis on the Effect of Form and Color of Cloths (의상디자인요소가 의복착용자의 인상에 미치는 영향(제1보) -의복 형태와 색채의 영향을 중심으로-)

  • 이주현;조긍호
    • Journal of the Korean Society of Clothing and Textiles
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    • v.19 no.5
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    • pp.747-764
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    • 1995
  • The purpose of the present study were 1) to identify the dimensional structure of impression formed of a female figure, 2) to analyze effects of several elements of apparel design on impression formation of the figure in suit. The experimental materials developed for this study were a set of stimuli and a response scale. The stimuli consisted of 60 drawings made by identical manipulations of 3 indepndent variables in 3 clothing styles(suit, dress and pants with blouse). The independent variables were (1) five clothing colors (red, blue, yellow, white and black), (2) two lengths(short/long) of suit skirt, dress, and pants (3) two types of blouse and dress collars (shirt collar/ribbon collar). The 7-point semantic differential response scale to measure the dependent variables (formed impressions of the female figure) was composed of 37 bipolar adjectives. Further- more, two open-ended questions were used for interpretation of the reponses. The study proceeded in three independent experimental part was based on the 3 clothing styles using a 5(color)$\times$2(length)$\times$2(collar) factorial design. Subject were 200 female undergraduate students reandomly assigned to one of 20 combinations in each part of the experiment. The data were analyzed by factor analysis, 3-way ANOVA and Multiple Classification Analysis. Five factors emerged to account for the dimensional structure of impression of the female figure in specific attire. These factors included three basic dimensions of impression identified as potency, activity and evaluation, confirming the results of previous studies. Result from open-ended questionaire supported the theoretical perspective of Schneider, Hastorf and Ellsworth on the procedure of impression formation.

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Navigator for OWL Ontologies Generated from Relational Databases (관계형 데이터베이스로부터 생성된 OWL 온톨로지를 위한 탐색기)

  • Choi, Ji Woong;Kim, Myung Ho
    • The Journal of the Korea Contents Association
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    • v.14 no.10
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    • pp.438-453
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    • 2014
  • This paper proposes a system to translate an RDB into an OWL ontology which enables the users to navigate the ontology in GUI. In order to accomplish the goals mentioned previously, the system overcame two difficulties. First, our system defines a new mapping algorithm to map between DB elements and ontology ones. Comparing with existing solutions, our algorithm is able to generate ontologies from more DB structures. Second, our system provides the same data generated by a reasoner to the users. Note that this operation does not load ABox ontology on a reasoner. In addition, Tableau-based reasoners have the tractability problem on a large ABox (e.g., large ABoxes translated from DBs practically cannot be served). To solve this, our system internally runs SQL queries to retrieve the same data as the one from a reasoner every time ABox elements are queried.

A Research on Gender Discourse of Animation Character: Focused on Female Characters of Disney Animation Frozen (애니메이션 캐릭터의 젠더 담론에 관한 연구: 디즈니 애니메이션 <겨울왕국>의 여성 캐릭터를 중심으로)

  • Oh, Dong-Il;Choi, Hye-Rim
    • Journal of Digital Contents Society
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    • v.15 no.5
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    • pp.613-620
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    • 2014
  • Gender Representation of animation character that is discussed in this essay is a semantic discourse that is related to communication with contemporary audience. For gender Representation of animation character, as it can be thought that linguistic elements for signification with audience are materialized, it has a significant value when it comes to communication with audience. Commercial success of Disney's feature length animation Frozen is from excellent aesthetic principles and techniques and global marketing capabilities of Disney studio. However, independent and active gender representation of Elsa and Anna in Frozen are more important commercial successful elements. Especially, Gender representation of these two characters reflects myth of women who live in this modern society so their linguistic meaning can appear affluently. That also means that those two characters have advantages, in terms of communication, that can have effective signification with contemporary audience as linguistic sign. And those advantages are signification foundation that Frozen can be commercially successful by communicating with audience all around the world.