• 제목/요약/키워드: Using frequency and period

검색결과 1,565건 처리시간 0.026초

패션소매유통 멀티채널 채택에 영향을 미치는 요인에 관한 연구 -마케팅 특성과 소비자 특성을 중심으로- (A Study on Factors that Affect the Selection of Multichannel in the Apparel Retail -Based on the Characteristics of Marketing and Customer-)

  • 김주희;이진화
    • 한국의류학회지
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    • 제35권7호
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    • pp.801-815
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    • 2011
  • This study examines the characteristics of marketing and customer that influence the selection of multichannel (preference/frequency of use) in the fashion retail. The subjects of this study are men and women live in Seoul/Gyeonggi province and Busan/Gyeongsangnam-do in their 20s-40s who have shopping experiences in fashion items of more than 2 shopping channels among offline stores, catalogs, and the internet. The survey period was from March to May 2010 and 411 forms were used in this survey. The data were analyzed by a reliability analysis (Cronbach's ${\alpha}$), a factor analysis, t-test and one-way ANOVA. The main results of this study are summarized as follows. First, marketing characteristics, which effect the selection of multichannel (preference/frequency of use), consist of sales promotion, service, price, merchandise, and distribution. Those have a significant influence (***p${\leq}$.001) on choosing multichannel of fashion retail. Price has a significant impact on the preference of multichannel and merchandise affect for frequency of use in multichannel shopping. Second, customer characteristics have a significant influence (***p${\leq}$.001) on the monthly average purchasing amount, shopping hours, shopping frequency, brand knowledge, and price sensitivity. Particularly, monthly average purchasing amount & shopping frequency have meaningful differences in the frequency of using multichannel; in addition, shopping hours were affected by preference & frequency of use. Price sensitivity has a greater influence on the frequency of using multichannel and brand knowledge has a greater effect on multichannel preference. Customer's information searching characteristics have main 3 factors through the use of marketing information, personal information and experience information. Application of experience information is the main factor in preference and frequency of using multichannel shopping. The customer demographic characteristics of age (*p${\leq}$.05, **p${\leq}$.01) and gender (*p${\leq}$.05) show a difference for selecting multichannel. There is no difference for marital status, average household income per month, and job.

Probability of exceeding the serviceability limit of antenna masts

  • Kammel, Christian
    • Wind and Structures
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    • 제4권4호
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    • pp.353-366
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    • 2001
  • With respect to serviceability, antenna masts should be designed so that wind-induced motion will not cause unacceptable lack of transmission for broadcasting users and wireless communication. For such antenna masts with directional radio transmission the serviceability limit state is predominantly governed by the tolerable change of the broadcasting angle of the mounted antenna assembly and therefore by the tip distortion of the mast. In this paper it will be shown that refinements of the present state of design of antenna masts are possible by using the statistics of extremes applied to extreme wind situations and by consideration of the statistical and reliability requirements given by the operator such as frequency and return period of passing the serviceability limit.

Fragility assessment for electric cabinet in nuclear power plant using response surface methodology

  • Tran, Thanh-Tuan;Cao, Anh-Tuan;Nguyen, Thi-Hong-Xuyen;Kim, Dookie
    • Nuclear Engineering and Technology
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    • 제51권3호
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    • pp.894-903
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    • 2019
  • An approach for collapse risk assessment is proposed to evaluate the vulnerability of electric cabinet in nuclear power plants. The lognormal approaches, namely maximum likelihood estimation and linear regression, are introduced to establish the fragility curves. These two fragility analyses are applied for the numerical models of cabinets considering various boundary conditions, which are expressed by representing restrained and anchored models at the base. The models have been built and verified using the system identification (SI) technique. The fundamental frequency of the electric cabinet is sensitive because of many attached devices. To bypass this complex problem, the average spectral acceleration $S_{\bar{a}}$ in the range of period that cover the first mode period is chosen as an intensity measure on the fragility function. The nonlinear time history analyses for cabinet are conducted using a suite of 40 ground motions. The obtained curves with different approaches are compared, and the variability of risk assessment is evaluated for restrained and anchored models. The fragility curves obtained for anchored model are found to be closer each other, compared to the fragility curves for restrained model. It is also found that the support boundary conditions played a significant role in acceleration response of cabinet.

임계수준 방법을 이용한 물 부족량-지속기간-빈도 곡선의 제안 및 적용 (Proposal and Application of Water Deficit-Duration-Frequency Curve using Threshold Level Method)

  • 성장현;정은성
    • 한국수자원학회논문집
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    • 제47권11호
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    • pp.997-1005
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    • 2014
  • 본 연구에서는 연 최저 유입량과 연 최대 부족량 자료를 이용하여 수문학적 가뭄을 평가하였고, 수자원 시설의 계획 및 관리에 이용할 수 있도록 물 부족량-지속기간-빈도 곡선을 제안하였다. 연 최저 유입량 분석결과, 대부분의 지속기간에서 1989년, 1996년 수문학적 가뭄의 재현기간이 가장 길었다. 연 최대 부족량 분석결과, 비교적 짧은 지속기간인 60일, 90일 부족량의 재현기간은 1982년에서 약 35년으로 가장 길게 나타났으며, 길게 지속되었던 수문학적 가뭄은 1995년으로 재현기간은 약 20년이었다. 가뭄은 크기와 함께 지속기간도 주요한 변수이지만 연 최저 유입량을 이용한 방법은 지속기간을 구분하지 못한다는 단점이 확인되었다.

빅데이터 로그분석을 통한 식품영양정보 선호도 분석 (Determining Food Nutrition Information Preference Through Big Data Log Analysis)

  • 송하나;이해정;이헌주
    • 한국식품위생안전성학회지
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    • 제38권5호
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    • pp.402-408
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    • 2023
  • 국내 소비자들의 식품 영양성분에 대한 관심이 계속적으로 증가하고 있지만 영양성분과 관련된 식품의 소비자 선호도 분석 연구는 부족한 실정이다. 본 연구는 대국민 정보 서비스인 식품영양성분 데이터베이스 플랫폼에 수집된 빅데이터의 로그분석을 수행하여 소비자들이 영양학적 측면에서 관심을 가지는 식품에 대한 선호도 결과를 제시하였다. 수집 기간은 2020년 1월부터 2022년 12월까지의 3개년으로 설정하여 총 2,243,168건의 식품명 검색어가 수집되었으며, 식품명을 병합하여 품목대표 식품명으로 가공하였다. 분석도구는 R프로그램을 이용하였으며, 영양정보를 확인하고자 하는 식품명의 검색 빈도를 전체 기간 및 계절별로 분석하였다. 전체 기간 동안 빈도수 분석 결과, 한국인이 일반적으로 자주 섭취하는 쌀밥, 닭고기, 달걀의 빈도수가 가장 높았다. 계절성에 따른 선호도 분석 결과, 봄과 여름에는 대체적으로 국물이 없고 뜨겁지 않은 음식의 빈도수가 높았으며, 가을과 겨울에는 국물이 있고 따뜻한 음식의 빈도수가 높았다. 또한, 외식업체에서 계절식품으로 판매하는 냉면, 콩국수 등과 같은 식품의 빈도수도 계절성을 가지는 것으로 확인되었다. 이러한 결과는 소비자들이 일반적으로 자주 섭취하는 식품의 영양정보에 관심을 가지는 패턴을 확인할 수 있었으며, 소비 트렌드와 간접적인 연관성을 가진다는 점에서 외식업계에서 계절별 마케팅 전략 수립 시 기초 자료로 활용될 수 있을 것으로 기대된다.

키워드 네트워크 분석을 활용한 과학기술동향 분석 (Analysis of Trends in Science and Technology using Keyword Network Analysis)

  • 박주섭;김나랑;한은정
    • 한국산업정보학회논문지
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    • 제23권2호
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    • pp.63-73
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    • 2018
  • 학계나 연구소에서는 연구동향이나 과학기술동향을 파악하고 예측하기 위해 전문가들의 판단에 의존하는 정성적인 방법을 주로 활용하여 왔다. 이 기법은 많은 시간과 비용이 드는 단점이 있기에 본 논문에서는 키워드 네트워크 분석을 활용하여 과학기술 동향을 예측하였다. 이를 위해 미국 특허 중 AI(Artificial Intelligence) 특허 초록 13,618개를 대상으로 키워드 네트워크 분석을 활용하여 분석 1기(2002.1.1. ~ 2006.12.31.), 분석 2기(2007.1.1. ~ 2011.12.31.), 분석 3기(2012.1.1. ~ 2016.12.31.)로 구분하여 분석하였다. 빈도 분석 결과, 분석 1기에서 3기로 시간이 경과할수록 AI 응용 분야의 방법에 관련된 핵심어들이 부각되었다. 키워드 네트워크 분석에서도 시간이 경과함에 따라 응용 분야의 방법에 관련된 핵심어와 다른 핵심어 간의 연계성이 높아졌다. 또한 분석 전체 기간 중 상승 및 하락 추세를 보인 연계 핵심어를 분석하면 응용 분야의 방법과 관리에 대한 연계성은 강화되는 반면에 기초 분야의 연계성은 약화되었다. 키워드 연결 중심성 분석에서도 기간이 경과할수록 응용 분야에 대한 중심성 수치가 높았다. 키워드 매개 중심성 분석에서 분석 3기는 응용 분야의 방법론 관련 핵심어가 가장 높은 매개 수치를 보였다. 이는 앞으로 응용 분야의 방법들이 AI 분야의 강력한 중개자 역할을 할 것으로 예상된다. 본 논문에서 제시한 기법은 지역혁신과 관련된 과제 발굴이나 사회문제 이슈의 시각화 등 지역혁신 분야에 활용되어 질 수 있을 것이다.

Seismic microzonation of Kolkata

  • Shiuly, Amit;Sahu, R.B.;Mandal, Saroj
    • Geomechanics and Engineering
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    • 제9권2호
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    • pp.125-144
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    • 2015
  • This paper presents the probabilistic seismic microzonation of densely populated Kolkata city, situated on the world's largest delta island with very soft alluvial soil deposit. At first probabilistic seismic hazard analysis of Kolkata city was carried out at bedrock level and then ground motion amplification due to sedimentary deposit was computed using one dimensional (1D) wave propagation analysis SHAKE2000. Different maps like fundamental frequency, amplification at fundamental frequency, peak ground acceleration (PGA), peak ground velocity (PGV), peak ground displacement (PGD), maximum response spectral acceleration at different time period bands are developed for variety of end users, structural and geotechnical engineers, land use planners, emergency managers and awareness of general public. The probabilistically predicted PGA at bedrock level is 0.12 g for 50% exceedance in 50 years and maximum PGA at surface level it varies from 0.095 g to 0.18 g for same probability of exceedance. The scenario of simulated ground motion revealed that Kolkata city is very much prone to damage during earthquake.

Stepwise Inertial Control of a Doubly-Fed Induction Generator to Prevent a Second Frequency Dip

  • Kang, Mose;Lee, Jinsik;Hur, Kyeon;Park, Sang Ho;Choy, Youngdo;Kang, Yong Cheol
    • Journal of Electrical Engineering and Technology
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    • 제10권6호
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    • pp.2221-2227
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    • 2015
  • To arrest a frequency nadir, a stepwise inertial control (SIC) scheme generates a constant active power reference signal of a wind turbine generator (WTG) immediately after a disturbance and maintains it for the predetermined time. From that point, however, the reference of a WTG abruptly decreases to restore the rotor speed for the predefined period. The abrupt decrease of WTG output power will inevitably cause a second frequency dip. In this paper, we propose a modified SIC scheme of a doubly-fed induction generator (DFIG) that can prevent a second frequency dip. A reference value of the modified SIC scheme consists of a reference for the maximum power point tracking control and a constant value. The former is set to be proportional to the cube of the rotor speed; the latter is determined so that the rotor speed does not reach the minimum operating limit by considering the mechanical power curve of a DFIG. The performance of the modified SIC was investigated for a 100 MW aggregated DFIG-based wind power plant under various wind conditions using an EMTP-RV simulator. The results show that the proposed SIC scheme significantly increases the frequency nadir without causing a second frequency dip.

체감 산업안전 평가지수 개발과 그 응용에 대한 연구 (Development of Effective Industrial Safety Index and Application)

  • 김유창;김의창
    • 산업공학
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    • 제14권1호
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    • pp.106-110
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    • 2001
  • The importance of development of occupational safety index is truly great. It will contribute to the wise direction of safety program. In present, frequency and severity ratios were the standard measure. These terms express the incidence of major injuries and severity of the major injuries experience, each with relation to the employee-hours of work exposure during the period that is measured. But these measure don't expressed the dangerous feeling degree of worker. In this study, Effective Industrial Safety Index(EISI) was developed using dangerous feeling degree of worker, frequency of injuries, and severity of injury. EISI can be used as an aid for effective safety management in workplace.

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A Study on the Change of Tourism Marketing Trends through Big Data

  • Se-won Jeon;Gi-Hwan Ryu
    • International journal of advanced smart convergence
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    • 제13권2호
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    • pp.166-171
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    • 2024
  • Recently, there has been an increasing trend in the role of social media in tourism marketing. We analyze changes in tourism marketing trends using tourism marketing keywords through social media networks. The aim is to understand marketing trends based on the analyzed data and effectively create, maintain, and manage customers, as well as efficiently supply tourism products. Data was collected using web data from platforms such as Naver, Google, and Daum through TexTom. The data collection period was set for one year, from December 1, 2022, to December 1, 2023. The collected data, after undergoing refinement, was analyzed as keyword networks based on frequency analysis results. Network visualization and CONCOR analysis were conducted using the Ucinet program. The top words in frequency were 'tourists,' 'promotion,' 'travel,' and 'research.' Clusters were categorized into four: tourism field, tourism products, marketing, and motivation for visits. Through this, it was confirmed that tourism marketing is being conducted in various tourism sectors such as MICE, medical tourism, and conventions. Utilizing digital marketing via online platforms, tourism products are promoted to tourists, and unique tourism products are developed to increase city branding and tourism demand through integrated tourism content. We identify trends in tourism marketing, providing tourists with a positive image and contributing to the activation of local tourism.