• Title/Summary/Keyword: 유행예측

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A Study on the determinants of Wedding furniture design in modern period (현대 혼례가구 디자인의 결정 요인에 관한 연구)

  • 김정근
    • Archives of design research
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    • v.13 no.1
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    • pp.149-156
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    • 2000
  • This study focuses on the analyzing the factors that determined Wedding furniture design in Modern period. Final conculusions based of the above mentioned findings are as follows; First, Jangnong has been an essential Wedding furniture item since modern period and little change in the style has been found. Second, Wedding furniture items became more various in kind such as Jangnong, Moon gap, dresser, etc,. The design of these were became bigger in size and more various furniture for storing was included. Third, factors that determired Wedding furniture design were change of family, marriage and Korea's Honsu norms, economic development, industrialization, commercialism, housing and lifestyle. Factors of housing and lifestyle were mainly affected in Wedding furniture design. Fourth, criteria for Wedding furniture design were functionality, fashion, decorativeness, tradition and symbol. But the symbolic importance of Wedding furniture has been weakened as a variety of essential Honsu items. Fifth, it was concluded that a proposed theoretical model of this study was appropriate for analyzing Wedding furniture design.

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Design and Implementation of User-Interactive Crowd Accident Avoiding System (CAAS) (공공데이터와 인공지능을 활용한 상호작용형 군중 사고 예방 시스템 설계 및 구현)

  • JunWan Kim;YoungBae Kong;ByeongHo Kim;MinJae Park;JeongEun Nah
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.914-915
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    • 2023
  • COVID-19 대유행 및 이태원 압사 사고로 인해 안전 관점의 인구 밀집에 관심이 높아졌으며, 기존 CCTV를 통한 단순 관찰방식을 넘어 유동 인구의 흐름까지 예측한 인구 밀집도 파악이 필요하게 되었다. 본 논문에서는 기존 관찰방식 공공데이터 CCTV에 컴퓨터 비전(CV) 및 다중 객체 추적(MOT) 기술을 추가 적용하여 사용자 중심(시각, 장소)의 유동 인구수와 인구 밀집 지역을 파악할 수 있는 모델을 제안하고 구현하였다. 이 모델을 적용함으로써 시민들은 안전한 환경에서 인구 밀집에 관련된 사고로부터 보호받을 수 있을 것으로 기대한다.

Analysis of Influenza Virus Isolates in Seoul during 2003-2004 Season (2003-2004 절기 서울지역의 인플루엔자 바이러스 분리 및 아형 분석)

  • Hwang Young-Ok;Lee Jae-In;Seo Byung-tae
    • Korean Journal of Microbiology
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    • v.41 no.1
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    • pp.53-59
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    • 2005
  • Influenza is an important public health problem which occurs almost every winter in temperate climates and is often associated with increased rates of hospitalization and death. In 1999, our influenza surveillance was initiated with 4 voluntary sentinel physicians and the Public Health Center. During the 2003-2004 influenza season, 124 influenza viruses were isolated from 401 clinical specimens, which were collected from patients with Influenza-like illness(ILI) in Seoul. The case definition of ILI is a case with fever more than $38^{\circ}C$ and systemic symptoms; cough, or sore throat. ILI was the highest at the 20-49 age $group(23\%)$ and the rate of virus isolation was the highest at the 7-19 age $group(50\%)$. Among 124 influenza viruses, isolates 83 were identified as A/H3N2 type and others were subtyped as influenza B viruses in 2003-2004 season. Influenza viruses were collected $39.1\%$ at Nowon-Gu, $13.5\%$ Gangnam-Gu and Seocho-Gu etc. and the isolate rate of virus had the area difference; Yongsan-Gu $66.7\%$, Gangnam-gu $50.0\%$, Nowon-Gu $39.9\%$, Kangbuk-Gu $36.8\%$, Seocho-Gu $27.8\%$, Dongjak-Gu $21.2\%$. Out of 401 individuals, 160 was vaccinated $(40\%)$ and the vaccination rate was the highest at the 20-49 age $group(32\%)$. These findings may contribute to the recommondation of the influenza vaccine formulation and the development of influenza control measure.

Characterization and Outbreak Pattern of Isolated Influenzavirus in Busan, 2000-2002 Years. (최근 3년 부산지역에서 분리한 인플루엔자바이러스의 특성 및 발생 양상)

  • 정명주;조경순
    • Microbiology and Biotechnology Letters
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    • v.31 no.4
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    • pp.329-333
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    • 2003
  • Influenzavirus were isolated from patients with acute respiratory infections in Busan during 2000-2002 and characterized their antigenic properties. In 2000, 39 viruses were isolated and they were identified as Influenzavirus. Among the isolated influenzavirus, 23 were A type influenzavirus and 16 were B type influenzavirus. As a result of antigenic characterization, the influenzavirus were determined to A/Sydney/05/97 (H3N2)-like, A/Beijing/262/95 (H1N1)-like, and B/Harbin/07/94-like virus. In 2001, 56 viruses were isolated and all of the viruses were identified as influenzavirus. They were A/Panama/2007/99 (H3N2)-like and A/Newcaledonia/20/99 (H1N1)-like virus In 2002, 114 Influenzaviruses were isolated. Among the isolated influenzavirus, 83 were A type influenzaviruses, and 31 were B type influenzaviruses. They were A/Panama/2007/99 (H3N2)-like, A/Newcaledonia/20/99 (H1N1)-like and B/Beijing/243/97, B/Honkong/22/2001, B/Sichuam/379/99-like virus when determined their antigenic properties. These results may be useful for the establishment of reliable epidemic data.

The Analysis of Fashion Trend Cycle using Big Data (패션 트렌드의 주기적 순환성에 관한 빅데이터 융합 분석)

  • Kim, Ki-Hyun;Byun, Hae-Won
    • Journal of the Korea Convergence Society
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    • v.11 no.12
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    • pp.113-123
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    • 2020
  • In this paper, big data analysis was conducted for past and present fashion trends and fashion cycle. We focused on daily look for ordinary people instead of the fashion professionals and fashion show. Using the social matrix tool, Textom, we performed frequency analysis, N-gram analysis, network analysis and structural equivalence analysis on the big data containing fashion trends and cycles. The results are as follows. First, this study extracted the major key words related to fashion trends for the daily look from the past(1980s, 1990s) and the present(2019 and 2020). Second, the frequence analysis and N-gram analysis showed that the fashion cycle has shorten to 30-40 years. Third, the structural equivalence analysis found the four representative clusters. The past four clusters are jean, retro codi, athleisure look, celebrity retro and the present clusters are retro, newtro, lady chic, retro futurism. Fourth, through the network analysis and N-gram analysis, it turned out that the past fashion is reproduced and evolves to the current fashion with certain reasoning.

A Study on the Analysis of Fashion Trends in 1990s -Focus on the Themes of Womens'Fashion- (1990년대 패션트렌드 분석연구 -여성패션의 테마를 중심으로-)

  • Nahm, Jae-Kyung;Geum, Key-Sook
    • Journal of the Korean Society of Clothing and Textiles
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    • v.25 no.9
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    • pp.1645-1654
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    • 2001
  • 패션은 지속적으로 변화하며 이는 새로운 패션 트렌드의 출현을 의미한다. 특히 지난 1990년대 패션은 사회, 과학, 경제, 문화 등 사회환경의 급격한 변화로 새롭고 다양한 가치의 추구로 패션분야에서도 새로운 것에 대한 욕구가 급증하였다. 따라서 본 연구는 1990년대 패션 트렌드를 분석하여 패션의 특성을 파악하여 미래의 패션을 예측하고 대응하기 위한 자료를 구축하는 것을 목적으로 하였다. 패션트렌드는 향후 예측되는 유행테마, 스타일, 색채 , 소재 , 디테일 등을 제시하고 있는데 , 본 연구에서는 시대상을 보다 심층적으로 파악하기 위하여 패션테마만을 집중적으로 분석하고 고찰하였다. 일반적으로 패션테마로 제시되는 개념 이 나 용어들은 동시대의 사회현상과 패션 분야에서 요구될 것으로 예상되는 내용이 비교적 자유분방하게 제 시 하고 있으므로, 패션 테마의 분석과 고찰은 패션의 실체를 이해하는데 매우 유용하다 하겠다. 따라서 본 연구에서는 패션테마로 제시된 용어들을 수집하고 분석하여 , 패션경향는 물론 패션의 실체를 파악하고자 하였다. 연구 대상은 1990년대 10년간의 패션트렌드로 설정했으며, 분석자료는 구체적으로 국내패션정보사인 K·F·S와 S· F·I에서 제시한 트렌드지를 사용하였다. 연구결과 1990년대 패션은 종래의 상식적인 디자인 개념을 넘어서서 여러 가지 다채로운 스타일들이 역사적 시간과 여러 문화의 공간을 오가며 교류되는 포스트모더니즘적 인 특성을 강하게 나타냈으며 , 이러한 경향은 매우 깊고 광범위하게 1990년대 의 패션트렌드에 반영되어 나타났다. 최근의 첨단 과학 기술의 발달과 이에 반하는 자연으로의 회귀욕구와 인간의 본질을 추구하는 인식의 전환 또한 패션 트랜드에 영향을 주었다. 이들을 포용하는 패션 주제는 크게 자연주의, 세계주의, 미래주의, 복고주의 등으로 분석되었다. 이 와 같은 패션 테마들은 각각 독립 적 이 기보다는 서로 상호 보완하고 조화를 이루는 가운데 1990년대 패션으로 형상화되었다. 이러한 1990년대 패션 경향의 분석 결과는 동시대의 사회상을 반영하는 동시에 패션의 특징인 주기성과 반복성을 그대로 보여주고 있었다. 이러한 연구 결과는 패션의 특징을 파악하고, 21세기 패션 경향을 보다 정확하게 예측하고 제시할 수 있는 중요한 자료로 사용될 수 있을 것으로 기대한다.

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Forecasting Study for the Future Automotive Design Trend (자동차디자인의 미래 트렌드 예측에 관한 여구)

  • 이명기
    • Archives of design research
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    • v.15 no.1
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    • pp.101-112
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    • 2002
  • technologies have now placed high hopes and expectations on the significance of design more than in any other time. This is because under current trends where technically and functionally advanced technologies are equalized, our success in the international markets depends on how we can differentiate designs to meet consumers'needs. In this research, we sought to forecast modern and future trends in automotive design, and thus secure competitiveness in automotive design. We first analyzed the movement of design value in respective times following changes in design trends (one aspect of social change in the 21st century), and consequent changes in consumers' value\ulcorner We further compared and researched design trends for automobiles and products by time and region, through surveys, analysis and collation of automotive design phenomena from various aspects recently occurring in advanced countries such as the U.S.A., European national and Japan.

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COVID-19 Surveillance using Wastewater-based Epidemiology in Ulsan (울산지역 하수기반역학을 이용한 코로나19 감시 연구)

  • Gyeongnam Kim;Jaesun Choi;Yeon-Su Lee;Dae-Kyo Kim;Junyoung Park;Young-Min Kim;Youngsun Choi
    • Journal of Food Hygiene and Safety
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    • v.39 no.3
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    • pp.260-265
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    • 2024
  • During the coronavirus 2019 (COVID-19) pandemic, wastewater-based epidemiology was used for surveying infectious diseases. In this study, wastewater surveillance was employed to monitor COVID-19 outbreaks. Wastewater influent samples were collected from four sewage treatment plants in Ulsan (Gulhwa, Yongyeon, Nongso, and Bangeojin) between August 2022 and August 2023. The samples were concentrated using the polyethylene glycol-sodium chloride pretreatment method. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA was extracted and detected using real-time polymerase chain reaction. Next generation sequences was used to perform correlation analysis between SARS-CoV-2 concentrations and COVID-19 cases and for COVID-19 variant analysis. A strong correlation was observed between SARS-CoV-2 concentrations and COVID-19 cases (correlation coefficient, r = 0.914). The COVID-19 variant analysis results were similar to the clinical variant genomes of three epidemics during the study period. In conclusion, monitoring COVID-19 via analyzing wastewater facilitates early recognition and prediction of epidemics.

Mechanical Assessments Development of Through The EV-Relay's Impurse Prediciton (EV Relay의 충격량 예측을 통한 기계적 시험법 개발)

  • Kim, Eung-Nam;Park, Guk-Nam;Ryu, Hang-Su;Park, Hong-Tae
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.868-869
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    • 2011
  • Domestic Foreign automaker's are focused on the high-efficiency, low emission cars development. On the way, the hybrid car is the first priority. Hybrid electric vehicle battery pack configurations, EV Relay one of the key components of the engine driving, to assist in the drive motor to supply electrical energy to the battery is a device for opening and closing of the output device. EV Relay determine the longevity and the replacement cycle, The EV Relay environmental conditions and duty cycle considering the reliability tests are essential requirements of many automotive companies to respond to RFQ, this test is essential. This paper using Maxwell Software for Prediction of the Ev Relay impulse, the theoretical data to obtain the impulse to develop methods for mechanical testing after to take advantage of it.

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Predictive Factors of Nurses' Turnover Intention during the COVID-19 Pandemic (COVID-19 유행 동안 간호사의 이직의도 예측요인)

  • Lee, Eun Joo;Park, Hyun Jin;Kim, Eun Ji;Kim, Ji Su
    • Journal of Korean Public Health Nursing
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    • v.35 no.3
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    • pp.469-480
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    • 2021
  • Purpose: Nurses are exposed to stressful circumstances during the COVID-19 outbreak, which increases their turnover intention. This study aimed to identify predictive factors of turnover intention among nurses during the COVID-19 outbreak. Methods: This study was a cross-sectional design using self-report questionnaires. A total of 164 nurses working at three hospitals participated voluntarily in the study. Questionnaires included nursing professionalism, job satisfaction, control belief and COVID-19 stress. Data were collected from February 1, 2021, to March 15, 2021. Data were analyzed with SPSS WIN 23.0 program using descriptive statistics, x2-test, independent t-test and logistic regression. Results: The turnover intention rate of nurses was 33.5%. Two significant predictors of nurses' turnover intention were identified, including risk acceptance in caring for patients with COVID-19 (odds ratio [OR] 4.24, 95% confidence interval [CI]=1.76~10.49) and nursing professionalism (OR=1.06, 95% CI=1.02~1.10). Conclusion: Hospital administrations should provide an improved work environment, such as individual protective equipment, compensation and protective system to nurses to avoid turnover intention in COVID-19 outbreak.