• Title/Summary/Keyword: Data trend analysis

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A Research Trend on the Stages of Interior Design Process - Focused on The Analysis of KIID Journal - (디자인 과정 단계별 실내디자인 연구 경향 - 한국 실내디자인학회 논문집 분석을 중심으로 -)

  • 이민아
    • Korean Institute of Interior Design Journal
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    • no.39
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    • pp.54-61
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    • 2003
  • The purpose of this paper was to study interior design research trend through categorizing the research in interior design process and investigating the research method used at each stage of the process. The ultimate aim was to evaluate the relationship of design process and interior design research and to indicate the guide line of future research. As results of the study, interior design research did not reflect recently increasing renovation and remodeling trend since evaluation research was less performed than data collection, program and design development research. Only educational/research space showed higher rate in evaluation research. In recent years, interior design research is interested in objective design problem solving since programming research Increased, and in user-participation planning since questionnaire and interview research Increased as data collection method. For the future research, it is expected researchers to show creative thinking process on the stage of design development and to develop various research method on the stage of evaluation.

A Study on the Characteristics of Change by Observation Area which changes as the observation time passes in Interior Space (실내공간에서 주시시간의 경과에 따른 구역별 주시특성에 관한 연구)

  • Kim, Jong-Ha;Ban, Young-Sun
    • Korean Institute of Interior Design Journal
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    • v.21 no.2
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    • pp.84-91
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    • 2012
  • The total data of observing interior space was divided into a few time frames for analysis. If we can understand the changing process of observation degree as the observation time passes, we will be able to analyse the characteristic and process of information obtainment in the case of space observation. For this purpose, the observation time was parted into 30 second units and the changing characteristic by time frame and observation area was analysed. The conclusion derived from this study is as the following: First, analysis of observation frequency and time on the basis of the average data of each subject showed that the observation time increased compared with the subject's frequency and the overall trend but that it was difficult for me to think there was a certain trend in the observation time of each subject. However, when I examined the time change by using the trend line which is a dynamic average line representing the observation time from the subjects as the trend element of time series, I could see the trend that the subject's observation time increased at a fixed rate as the frequency increased. Second, when I compared and analysed the average observation area at Area I set up by the time of 30 second unit and the observation area of Area I from the all data, I could see that the former had more degree of concentration at Area I. This analysis enabled me to get the degree of concentration on the observed area every time, and accordingly I could also see that when the data of intensive observation by time frame is analysed, the degree of concentration is dispersed for the subjects to observe very intensively or the area with overlapping observations each time frame can be seen as Area I out of the entire observation data. Third, when I analysed the observation characteristics by time frame at the 6 areas divided at 30 second unit at the rate of the number to the time of observation areas, I could see that as the observation time passed while the number of the observation areas defined as decreased the observation time increased, which means that when the area numbers decreases the area intensively observed by the subjects decreases as the time passes. In spit of that, the increase of time can be interpreted as more intensive observation of a specific area.

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Hotel Uniform Proposal for Jeju I

  • Kwon, Sookhee
    • Fashion & Textile Research Journal
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    • v.16 no.6
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    • pp.987-994
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    • 2014
  • The purpose of this research is to propose employee uniforms for tourist hotels on Jeju Island, such uniforms that embrace Jeju's unique culture and promote the tourism of Jeju Island. It has been suggested that there exists a need for hotel employee uniforms to attract more tourist attention and boost Jeju's tourism industry. We designed the uniform after analyzing the empirical data collected from academia thesis, periodicals, papers and pictures from internet search, and fashion industry magazines. The uniform analysis and production procedures are as follows: (1) precedent research case review (2) current (existing) uniform status survey (3) latest fashion trend analysis (2010 - 2014) (4) creating the uniform implementing the trend-based design with Gal Cheon, Jeju's cultural product material. We found tipping points of the design through literature and trend analysis; we developed appropriate uniforms accordingly that are harmonious with Jeju's unique identity. We received great evaluations on the appearance and comfort as well. A new concept of uniform featuring Gal Cheon has been proposed. It is expected that the uniforms will promote the brand image of Jeju as an international freedom city and its culture.

Analysis of Global Research Trend on Information Security (정보보안에 대한 연구 트렌드 분석)

  • Kim, Won-pil
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.5
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    • pp.1110-1116
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    • 2015
  • This paper analyzes global research trend on information security. All technical fields based on information requires security so that discovering technologies (technical terms) which are developing newly or dramatically is able to guide the future direction of the field of information security. In this paper, the ultimate of this research is to figure out the technologies related to information security and to forecast the future through understanding their trends. The paper, as a beginning for the analysis on macroscopic viewpoint, contains measurement of yearly relatedness between technical terms from 2001 to 2014 by using temporal co-occurrence and interpretation of its meaning through comparing the relatedness with trends of top-related technical terms. And to conclude, we could find that Android platform, Big data, Internet of things, Mobile technologies, and Cloud computing are emerging technologies on information security.

Trend analysis on the financial soundness of contract foodservice management companies(CFMC) : approach to the financial statements from 1999 to 2011 (국내 위탁급식전문업체 재무건전성 추세 분석 - 1999년부터 2011년 재무제표를 중심으로 -)

  • Park, Moon-Kyung
    • Korean journal of food and cookery science
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    • v.28 no.4
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    • pp.451-461
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    • 2012
  • The purposes of this study were to examine the financial statements and analyze the financial soundness of contract foodservice management companies(CFMC) using the financial ratio. The statistical data analysis was completed using Microsoft Excel(ver.2007) for the trend line equation and using SPSS Win(ver.18.0) for wilcoxon-rank sum test. Increased asset, debt, capital and sales occurred in most of the CFMCs, but the financial trend of firm D decreased for operating profit and net profit. The financial ratio for investigating a firm's financial soundness was based on liquidity, stability, profitability, activity, and growth through financial statements. Most of the CFMCs had maintained outstanding financial soundness from 1999 to 2011. The financial statements during the decade were verified and fluctuated. The directly affected CFMCs by a school foodservice' sanitation accident had maintained better financial statements than those of other CFMCs. Therefore, there was opportunity for directly affecting CFMCs involved in school foodservice' sanitation accident to diversify the business portfolio of the firms.

A Trend Analysis of Meteorological Elements in the Main Producing Areas of Vegetables (채소 주산지의 기상요소별 경향성 분석)

  • Kim, Yong Seok;Shim, Kyo Moon;Jung, Myung Pyo;Choi, In Tae
    • Journal of Climate Change Research
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    • v.6 no.4
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    • pp.283-290
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    • 2015
  • This study was carried out a trend analysis for analyzing change of meteorological elements in the main producing areas of Chinese cabbage, radish, pepper, garlic and onion. As meteorological elements, we selected air temperature (maximum, minimum), precipitation and duration of sunshine. We used monthly data of meteorological elements obtained from the main producing areas of vegetables for 30 years from 1981 to 2010. Mann-Kendall test used for significance test of trend and Sen's estimator of slope for computing the variance of meteorological elements. The study results showed that air temperature tended to increase, but duration of sunshine tended to decrease in most regions.

Analysis of the Characteristic of Railroad(level-crossing) Accident Frequency (철도 건널목 사고의 발생빈도 특성분석 연구)

  • Park, Jun-Tae;Kang, Pal-Moon;Park, Sung-Ho
    • Journal of the Korean Society of Safety
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    • v.29 no.2
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    • pp.76-81
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    • 2014
  • Railroad traffic accident consists of train accident, level-crossing accident, traffic death and injury accident caused by train or vehicle, and it is showing a continuous downward trend over a long period of time. As a result of the frequency comparison of train accidents and level-crossing accidents using the railway accident statistics data of Railway Industry Information Center, the share of train accident is over 90% in the 1990s and 80% in the 2000s more than the one of level-crossing accidents. In this study, we investigated time series characteristic and short-term prediction of railroad crossing, as well as seasonal characteristic. The analysis data has been accumulated over the past 20 years by using the frequency data of level-crossing accident, and was used as a frequency data per month and year. As a result of the analysis, the frequency of accident has the characteristics of the seasonal occurrence, and it doesn't show the significant decreasing trend in a short-term.

A study on changes in the food service industry about keyword before and after COVID-19 using big data

  • Jung, Sukjoon
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.3
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    • pp.85-90
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    • 2022
  • In this study, keywords from representative online portal sites such as NAVER, Google, and Youtube were collected based on text mining analysis technique using TEXTOM to check the changes in the restaurant industry before and after COVID-19. The collection keywords were selected as dining out, food service industry, and dining out culture. For the collected data, the top 30 words were derived, respectively, through the refinement process. In addition, comparative analysis was conducted by defining data from 2018 to 2019 before COVID-19, and from 2020 to 2021 after COVID-19. As a result, 8272 keywords before COVID-19 and 9654 keywords after COVID-19, a total of 17926 keywords, were derived. In order for the food service industry to develop after the COVID-19 pandemic, it is necessary to commercialize the recipes of restaurants to revitalize the distribution of home-use food products that replace home-cooked meals such as meal kits. Due to the social distancing caused by COVID-19, the dining out culture has changed and the trend has changed, and it has been confirmed that the consumption culture has changed to eating and delivering at home more safely than visiting restaurants. In addition, it has been confirmed that the consumption culture of existing consumers is changing to a trend of cooking at home rather than visiting restaurants.

Trend Analysis of Pet Plants Before and After COVID-19 Outbreak Using Topic Modeling: Focusing on Big Data of News Articles from 2018 to 2021

  • Park, Yumin;Shin, Yong-Wook
    • Journal of People, Plants, and Environment
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    • v.24 no.6
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    • pp.563-572
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    • 2021
  • Background and objective: The ongoing COVID-19 pandemic restricted daily life, forcing people to spend time indoors. With the growing interest in mental health issues and residential environments, 'pet plants' have been receiving attention during the unprecedented social distancing measures. This study aims to analyze the change in trends of pet plants before and during the COVID-19 pandemic and provide basic data for studies related to pet plants and directions of future development. Methods: A total of 2,016 news articles using the keyword 'pet plants' were collected on Naver News from January 1, 2018 to August 15, 2019 (609 articles) and January 1, 2020 to August 15, 2021 (1,407 articles). The texts were tokenized into words using KoNLPy package, ultimately coming up with 63,597 words. The analyses included frequency of keywords and topic modeling based on Latent Dirichlet Allocation (LDA) to identify the inherent meanings of related words and each topic. Results: Topic modeling generated three topics in each period (before and during the COVID-19), and the results showed that pet plants in daily life have become the object of 'emotional support' and 'healing' during social distancing. In particular, pet plants, which had been distributed as a solution to prevent solitary deaths and depression among seniors living alone, are now expanded to help resolve the social isolation of the general public suffering from COVID-19. The new term 'plant butler' became a new trend, and there was a change in the trend in which people shared their hobbies and information about pet plants and communicated with others in online. Conclusion: Based on these findings, the trend data of pet plants before and after the outbreak of COVID-19 can provide the basis for activating research on pet plants and setting the direction for development of related industries considering the continuous popularity and trend of indoor gardening and green hobby.

A Convergence Study on the Relationship between Cereal Intake Level and Food and Nutrients Intake of Chinese Middle-aged Women (중국 중년여성의 곡류 섭취수준과 식품 및 영양소 관련성에 대한 융합연구)

  • Park, Pil-Sook;Zhao, Han-Qing;Park, Mi-Yeon
    • Journal of the Korea Convergence Society
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    • v.10 no.2
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    • pp.113-124
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    • 2019
  • This is a convergence study to investigate the relationship between cereal intake level and food and nutrient intake in 218 Chinese middle aged women aged 40 to 65 years. Data were analyzed by ${\chi}^2$ test, ANOVA, correlation analysis and Jonckheere-Terpstra trend test using SPSS 22.0 program. The results of the study were as follows. The higher the level of cereal intake in the subjects, the lower were the rate of breakfast fasting (p for trend=0.000), overeating (p for trend=0.019), and eating out (p for trend=0.003). The intake of root and tuber crops(p for trend=0.008), meat(p for trend=0.043), pulses(p for trend=0.020), and light colored vegetables(p for trend=0.015) per 1,000 kcal of energy increased when the level of cereal intake was 6 to 9 units. Therefore, it is necessary to discuss and study for continuous education and improvement through the feedback so that the middle-aged women can take the cereal appropriately.