• Title/Summary/Keyword: Coordination Component

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A Study on the Characteristics of Logos in Inner Wear Brand (이너 웨어(Inner Wear) 로고의 특성에 관한 연구)

  • Lee, Min-Gyung;Rha, Soo-Im
    • The Research Journal of the Costume Culture
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    • v.14 no.5
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    • pp.790-801
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    • 2006
  • This study analyzed features of elements that compose a logo of inner wear brands to get the following results: First, it was found that "elegance" was the most frequently used word to express the concept of inner wear brands to be followed by words like dignity, high-end and aristocratic, words emphasizing femininity, such as feminine, romantic and sexy, words emphasizing practicality, such as convenient, practical, modern, functional and reasonable, and words emphasizing hygiene, such as clean, healthy and hygienic. This suggests that consumers nowadays pursue image more than functional aspects in the shopping of inner wear and consumers' pursuit of such values is reflected in the concept of inner wear brands. Second, unlike logos for outerwear brands that generally used initials of brand name, word-type logos for inner wear brands used the full name of brands, thus suggesting that they put more emphasis on delivery of information rather than on the symbolic aspect. In case of combining characters with concrete objects, they were found generally to use objects that give an soft, elegant and feminine image, such as flowers, woman's head and ribbons. Third, colors in the series of pink and red seemed to be used to convey the concept of inner wear brands that pursue such images as romanticism, femininity, elegance and sensibility, while colors in the series of blue, black and grey for such concepts as functionality, practicality, simplicity, health, hygiene and refinement. With reference to typeface used in the design of logos, unlike outerwear brands of which 83% use sans serif typeface for logos, relatively high percentage of inner wear was found to use typefaces of serif series to stress feminine flexibility and delicacy and give the image of elegance and classical tenderness. With reference to language used in logo naming for inner wear brands, 33 brands were found to use English and only three brands used Korean among the 36 brands surveyed. Even with inner wear brand logos that have Korean name, it was found that they used English in the use of logo marks. Like the result of previous studies, the result of this study indicates that methods to design brand logos for clothing should be incessantly sought in a way to build brand power as an important component to represent concept or function of brands and reinforce brand image.

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Analysis on Physical and Mechanical Properties of Fault Materials using Laboratory Tests (실내시험을 통한 단층물질의 물리·역학적 특성 분석)

  • Moon, Seong-Woo;Yun, Hyun-Seok;Seo, Yong-Seok;Chae, Byung-Gon
    • The Journal of Engineering Geology
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    • v.27 no.1
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    • pp.91-101
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    • 2017
  • Fault materials has various properties depending on their areas, rock types, and components because they are formed by heterogeneous and complicated mechanisms. In this study, to understand the physical and mechanical properties of fault materials, 109 fault materials distributed in South Korea were collected to conduct various laboratory tests with them and analyze their physical and mechanical properties (unit weight, specific gravity, porosity, gravel content, silt/clay content, clay mineral content, friction angle, and cohesion) according to areas, rock types, and components. As for the physical and mechanical properties by rock type, gneiss shows the highest medians in the unit weight ($17.1kN/m^3$) and specific gravity (2.73), granite does so in the porosity (45.5%), schist does so in the gravel content (20.0 wt.%) and cohesion (38.1 kPa), and phyllite does so in the silt/clay content (54.4 wt.%), clay mineral content (30.1 wt.%), and friction angle ($38.2^{\circ}$). With regard to the physical and mechanical properties by component, fault gouge was shown to have lower values than cataclasite and damage zones in all factors other than porosity and silt/clay contents.

Perception toward Happiness and Department Satisfaction in Nursing Students (간호대학생의 행복 인식과 학과만족도)

  • Kwon, Hyuk-Mi;Han, Hye-Sook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.1
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    • pp.527-536
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    • 2018
  • This study was conducted to classify the factors influencing nursing students' subjectivity toward happiness and to identify differences in department satisfaction according to happiness factors. Q-methodology, which is effective at studying human subjectivity, was employed. Sixty-four students were asked to sort the 34 Q-statements along a 9-point scale ranging from most disagree (-4) to most agree (+4). The Q-sorts were analyzed using pc-QUNAL program, which subjects the data to principle component factor analysis, followed by varimax rotation. Moreover, the data were collected using a questionnaire that consisted of 27 questions pertaining to department satisfaction and analyzed using the SPSS 21.0 program. The result was classified into four factors that explained 58.0% of the total variance. Factor 1 was a progressive self-realization type, factor 2 an isolated flow type, factor 3 an optimistic friendly type, and factor 4 a self-centered relationship seeking type. Moreover, there was a significant difference in department satisfaction according to happiness factors (F=4.53, p=.006). To enhance department satisfaction and nursing professionalism, education and counseling in consideration of these types are needed.

Importance of Education Contents and Competencies on Home Care Nursing of the Hospital and Public Health Nurses in Korea (임상간호사와 보건간호사가 지각한 가정간호 교육내용의 중요도 및 업무수행능력)

  • Yu, Sook-Ja;Kim, Soon-Lae;Baek, Hee-Chong;Lee, Jong-Eun
    • Journal of Home Health Care Nursing
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    • v.7 no.1
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    • pp.5-14
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    • 2000
  • This study was conducted during the time period of September 1997 to February 1999. in order to provide data concerning important facets of horne care nursing and the degree to which practicing hospital and public health nurses believe themselves to be competent in each area. The study subjects consisted of 610 hospital nurses, 158 public health nurses and 21 other nurses from Seoul and the province of Kyunggi. Korea. Data was collected through self-reporting questionnaires which was used by Kim et al.(1999) to evaluate the status of home health nursing and the varying ideas of self-competence that practicing nurses have. The results of the study were as follows: 1) The mean scores of perceived important components and competencies on home health nursing measured on the Likert 4 point scale were $3.15{\pm}0.36$ for importance. and $2.56{\pm}0.36$ for competency. Of the four categories regarding nursing services, the 'Nursing skill' factor had the highest importance and competency. 2) There were significantly higher scores for hospital nurses' importance components and competencies of home care nursing as compared to those scores for public health nurses. 3) The significant factors of the importance component of home care nursing listed in order of priority were 'general infection control', 'bed sore care skill', 'rehabilitation care', 'keeping maintenance of the client's confidentiality', 'malpractice', 'diabetes patient care', 'ability for problem solving' respectively. In contrast, of low priority in the importance components of home care nursing were 'referring nursing as a job to others'. 'record keeping', 'family dynamics', 'medical equipment', 'economic problems', 'environmental assessment', 'suture removal', 'multidisciplinary coordination' respectively. 4) The high priority of the degree to which practicing nurses believe themselves to be competent in home health nursing were the 'blood sugar test', 'enema skill', 'injection skill', 'skin care', 'bed sore care skill', etc. In contrast, lower competence for home care nursing as perceived by nurses were 'AIDS care', 'family violence care', 'substance abuse care', 'mental health care' respectively.

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Compositions and Provenience Studies on Horse Armour Excavated from Changnyeong Gyo-dong and Songhyeon-dong Tumuli (창녕 교동과 송현동 고분군 출토 마구류(馬具類)의 조성 및 원료 산지 추정)

  • Han, Woorim;Park, Jiyeon;Kim, Sojin
    • Korean Journal of Heritage: History & Science
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    • v.54 no.1
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    • pp.4-17
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    • 2021
  • This study analyzed 19 samples of harness fittings and pendants, which were excavated in Tomb No. 15 in Songhyeon-dong, Changnyeong. Harness fittings and pendants are used for ostentation, rather than practicality, and were excavated from ancient tombs in Gaya culture. So, they are considered artifacts that compare the production techniques and raw materials. This study aimed to examine the production techniques and provenience studies of Bihwa Gaya, which is estimated to be from the 5th to 6th centuries. According to the research, harness fittings were made of pure copper and were gilded with Au·Ag alloys on their surfaces. Hg was detected together and plated with a mercury amalgam method. As a result of the pendant (fish scales-pattern, oval and fish-tail shape), analysis showed that Fe in the background metal, Cu in the middle layer, and Au and Ag on the surface were the main components. The method of adhesion between Cu and Au·Ag gilded layers are plated by a mercury amalgamation method. So, it was identified by the gilt-iron·gold·bronze technique. Since the pendant (heart shaped) is found to be the main component of Fe in the background metal and Ag in the surface layer, the metal was made gilt-iron·silver technique. The background metal and gilding were additionally fixed using a rivet. The raw materials of 3 harnesses excavated from Changnyeong are plotted in zone 2 in the southern Korean Peninsula. And 16 harnesses were plotted in Chinese copper ore by Mabuchi Hishao in the Chinese Peninsula.

Investigating the Relationship Between Vehicle Front Images and Voice Assistants (자동차 전면부와 음성 어시스턴트의 스타일 관계 분석)

  • Min-Jung Park;So-Yeong Min;Tae-Su Kim;Hyeon-Jeong Suk
    • Science of Emotion and Sensibility
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    • v.25 no.4
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    • pp.129-138
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    • 2022
  • In the context of the increasing applications of voice assistants in vehicles, we focused on the association between the visual appeal of the cars and the acoustic characteristics of the voice assistants. This study aimed to investigate the relationship between the visual appeal of the vehicle and the voice assistant based on their emotional characteristics. A total of 15 adjectives were used to assess the emotional characteristics of 12 types of cars and six types of voices. An online interview was carried out, instructing participants to match three adjectives with the presented car images or voices. This was followed with a brief interview to allow the participants to reflect on the adjective matches. Based on the assessments, we performed principal component analysis (PCA) to determine factors. We aimed to deploy the cars and voices and analyze the patterns of clustering. The PCA analysis revealed two factors profiled as "Light-Heavy" and "Comfortable-Radical." Both car and voice stimuli were deployed in a two-dimensional space showing the internal relationship within and between the two substances. Based on the coordination data, a hierarchical cluster grouped the 18 stimuli into four groups labeled as challenge, elegance, majesty, and vigor. This study identified two latent factors describing the emotional characteristics of both car images and voice types clustered into four groups based on their emotional characteristics. The coherent matches between car style and voice type are expected to address the design concept more successfully.

Research Trend and Futuristic Guideline of Platform-Based Business in Korea (플랫폼 기반 비즈니스에 대한 국내 연구동향 및 미래를 위한 가이드라인)

  • Namn, Su Hyeon
    • Management & Information Systems Review
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    • v.39 no.1
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    • pp.93-114
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    • 2020
  • Platform is considered as an alternative strategy to the traditional linear pipeline based business. Moreover, in the 4th industrial revolution period, efficiency driven pipeline business model needs to be changed to platform business. We have such success stories about platform as Apple, Google, Amazon, Uber, and so on. However, for those smaller corporations, it is not easy to find out the transformation strategy. The essence of platform business is to leverage network effect in management. Thus platform based management can be rephrased as network management across the business functions. Research on platform business is popular and related to diverse facets. But few scholars cover what the research trend of the domain is. The main purpose of this paper is to identify the research trend on platform business in Korea. To do that we first propose the analytical model for platform architecture whose components are consumers, suppliers, artifacts, and IT platform system. We conjecture that mapping of the research work on platform to the components of the model will make us understand the hidden domain of platform research. We propose three hypotheses regarding the characteristics of research and one proposition for the transitional path from pipeline to platform business model. The mapping is based on the research articles filtered from the Korea Citation Index, using keyword search. Research papers are searched through the keywords provided by authors using the word of "platform". The filtered articles are summarized in terms of the attributes such as major component of platform considered, platform type, main purpose of the research, and research method. Using the filtered data, we test the hypotheses in exploratory ways. The contribution of our research is as follows: First, based on the findings, scholars can find the areas of research on the domain: areas where research has been matured and territory where future research is actively sought. Second, the proposition provided can give business practitioners the guideline for changing their strategy from pipeline to platform oriented. This research needs to be considered as exploratory not inferential since subjective judgments are involved in data collection, classification, and interpretation of research articles.

Development Strategy for New Climate Change Scenarios based on RCP (온실가스 시나리오 RCP에 대한 새로운 기후변화 시나리오 개발 전략)

  • Baek, Hee-Jeong;Cho, ChunHo;Kwon, Won-Tae;Kim, Seong-Kyoun;Cho, Joo-Young;Kim, Yeongsin
    • Journal of Climate Change Research
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    • v.2 no.1
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    • pp.55-68
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    • 2011
  • The Intergovernmental Panel on Climate Change(IPCC) has identified the causes of climate change and come up with measures to address it at the global level. Its key component of the work involves developing and assessing future climate change scenarios. The IPCC Expert Meeting in September 2007 identified a new greenhouse gas concentration scenario "Representative Concentration Pathway(RCP)" and established the framework and development schedules for Climate Modeling (CM), Integrated Assessment Modeling(IAM), Impact Adaptation Vulnerability(IAV) community for the fifth IPCC Assessment Reports while 130 researchers and users took part in. The CM community at the IPCC Expert Meeting in September 2008, agreed on a new set of coordinated climate model experiments, the phase five of the Coupled Model Intercomparison Project(CMIP5), which consists of more than 30 standardized experiment protocols for the shortterm and long-term time scales, in order to enhance understanding on climate change for the IPCC AR5 and to develop climate change scenarios and to address major issues raised at the IPCC AR4. Since early 2009, fourteen countries including the Korea have been carrying out CMIP5-related projects. Withe increasing interest on climate change, in 2009 the COdinated Regional Downscaling EXperiment(CORDEX) has been launched to generate regional and local level information on climate change. The National Institute of Meteorological Research(NIMR) under the Korea Meteorological Administration (KMA) has contributed to the IPCC AR4 by developing climate change scenarios based on IPCC SRES using ECHO-G and embarked on crafting national scenarios for climate change as well as RCP-based global ones by engaging in international projects such as CMIP5 and CORDEX. NIMR/KMA will make a contribution to drawing the IPCC AR5 and will develop national climate change scenarios reflecting geographical factors, local climate characteristics and user needs and provide them to national IAV and IAM communites to assess future regional climate impacts and take action.

Derivation of Inherent Optical Properties Based on Deep Neural Network (심층신경망 기반의 해수 고유광특성 도출)

  • Hyeong-Tak Lee;Hey-Min Choi;Min-Kyu Kim;Suk Yoon;Kwang-Seok Kim;Jeong-Eon Moon;Hee-Jeong Han;Young-Je Park
    • Korean Journal of Remote Sensing
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    • v.39 no.5_1
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    • pp.695-713
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    • 2023
  • In coastal waters, phytoplankton,suspended particulate matter, and dissolved organic matter intricately and nonlinearly alter the reflectivity of seawater. Neural network technology, which has been rapidly advancing recently, offers the advantage of effectively representing complex nonlinear relationships. In previous studies, a three-stage neural network was constructed to extract the inherent optical properties of each component. However, this study proposes an algorithm that directly employs a deep neural network. The dataset used in this study consists of synthetic data provided by the International Ocean Color Coordination Group, with the input data comprising above-surface remote-sensing reflectance at nine different wavelengths. We derived inherent optical properties using this dataset based on a deep neural network. To evaluate performance, we compared it with a quasi-analytical algorithm and analyzed the impact of log transformation on the performance of the deep neural network algorithm in relation to data distribution. As a result, we found that the deep neural network algorithm accurately estimated the inherent optical properties except for the absorption coefficient of suspended particulate matter (R2 greater than or equal to 0.9) and successfully separated the sum of the absorption coefficient of suspended particulate matter and dissolved organic matter into the absorption coefficient of suspended particulate matter and dissolved organic matter, respectively. We also observed that the algorithm, when directly applied without log transformation of the data, showed little difference in performance. To effectively apply the findings of this study to ocean color data processing, further research is needed to perform learning using field data and additional datasets from various marine regions, compare and analyze empirical and semi-analytical methods, and appropriately assess the strengths and weaknesses of each algorithm.