• Title/Summary/Keyword: demand measure

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Closed-form fragility analysis of the steel moment resisting frames

  • Kia, M.;Banazadeh, M.
    • Steel and Composite Structures
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    • v.21 no.1
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    • pp.93-107
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    • 2016
  • Seismic fragility analysis is a probabilistic decision-making framework which is widely implemented for evaluating vulnerability of a building under earthquake loading. It requires ingredient named probabilistic model and commonly developed using statistics requiring collecting data in large quantities. Preparation of such a data-base is often costly and time-consuming. Therefore, in this paper, by developing generic seismic drift demand model for regular-multi-story steel moment resisting frames is tried to present a novel application of the probabilistic decision-making analysis to practical purposes. To this end, a demand model which is a linear function of intensity measure in logarithmic space is developed to predict overall maximum inter-story drift. Next, the model is coupled with a set of regression-based equations which are capable of directly estimating unknown statistical characteristics of the model parameters.To explicitly address uncertainties arise from randomness and lack of knowledge, the Bayesian regression inference is employed, when these relations are developed. The developed demand model is then employed in a Seismic Fragility Analysis (SFA) for two designed building. The accuracy of the results is also assessed by comparison with the results directly obtained from Incremental Dynamic analysis.

A Comparative Analysis on the Competitiveness of the Korean, Chinese and Japanese Fashion Industries: The Generalized Double Diamond Model Approach

  • Son, Miyoung
    • Journal of Fashion Business
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    • v.18 no.6
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    • pp.67-85
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    • 2014
  • This study compares and analyzes the fashion industry of Korea with that of China and Japan, the two countries geographically and culturally adjacent to Korea, by applying the generalized double diamond model to find useful measures to strengthen the global competitiveness of the Korean fashion industry. The fashion industries of Korea, China and Japan were first compared in terms of the four determinants of the double diamond model: thereafter, the double diamond model of Korea, China and Japan were compared. In this, study 31 sub-variables were extracted to measure the eight determinants and secondary data were collected from selected sources between January 2013 and May 2014. The results of comparing the domestic diamond models showed that: China is considerably better than Korea and Japan in terms of demand conditions, firm strategy, organization, and competition conditions while Japan is superior in terms of demand conditions and Korea shows better related and supporting industries conditions. When comparing and analyzing the international diamond models, Japan is superior in terms of factor conditions and China has better demand conditions, while Korea has failed to lead in any of the four determinants. When comparing and analyzing the comprehensive diamond model per country, China show superior demand conditions and firm strategy, organization, and competition conditions, Japan has better factor conditions, and Korea shows superior related and supporting industries conditions.

3-Dimensional Balancing Technique for Nationwide Travel Demand Model using Toll Collecting System Data (3-D 기법을 이용한 TCS기반 전국 교통수요 추정 연구)

  • 이승재;이헌주
    • Journal of Korean Society of Transportation
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    • v.20 no.4
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    • pp.63-72
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    • 2002
  • We applied 3-D balancing technique to estimate nationwide travel demand using travel behavior of Toll Collecting System data, socio-economic data in the region, and the data of several organizations connected with travel demand estimation. The results from this study were validated by the indices of RMSE(Root Mean Square Error), TLFD(Trip Length Frequency Distribution). TCS based inter-city average travel to measure of reliability and adequacy of estimated travel demand. Finally, 3-D technique seems to reflect more travel behavior of TCS OD than 2-D technique, but we cannot assert that 3-D technique superior to 2-D technique.

Calculating the Benefit of Distributed Combined Heat Power Generators from Avoiding a Transmission Expansion Cost by Solving a Mixed Integer Linear Programming (혼합 정수 선형 계획법 기반의 최적 경제 급전을 활용한 분산형 열병합 발전원의 송전선로 건설비용 회피 편익계산)

  • Kwon, Wook Hyun;Park, Yong-Gi;Roh, Jae Hyung;Park, Jong-Bae;Lee, Duehee
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.68 no.4
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    • pp.513-522
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    • 2019
  • We calculate the benefit of distributed combined heat power generators from avoiding a transmission expansion cost by building distributed generators near electricity demand centers. We determine a transmission expansion plan by solving a mixed integer linear problem, where we modify capacities of existing transmission lines and build new transmission lines. We calculate the benefit by comparing the sum of generation and transmission expansion costs with or without distributed generators through two simulation frames. In the first frame, for the current demand, we substitute existing distributed generators for non-distributed generators and measure an additional cost to balance the generation and demand. In the second frame, for increased future demand, we compare the cost to invest only in distributed generators to the cost to invest only in non-distributed generators. As a result, we show that the distributed generators have at least 5.8 won/kWh of the benefit from avoiding the transmission expansion cost.

Prediction of the number of public bicycle rental in Seoul using Boosted Decision Tree Regression Algorithm

  • KIM, Hyun-Jun;KIM, Hyun-Ki
    • Korean Journal of Artificial Intelligence
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    • v.10 no.1
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    • pp.9-14
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    • 2022
  • The demand for public bicycles operated by the Seoul Metropolitan Government is increasing every year. The size of the Seoul public bicycle project, which first started with about 5,600 units, increased to 3,7500 units as of September 2021, and the number of members is also increasing every year. However, as the size of the project grows, excessive budget spending and deficit problems are emerging for public bicycle projects, and new bicycles, rental office costs, and bicycle maintenance costs are blamed for the deficit. In this paper, the Azure Machine Learning Studio program and the Boosted Decision Tree Regression technique are used to predict the number of public bicycle rental over environmental factors and time. Predicted results it was confirmed that the demand for public bicycles was high in the season except for winter, and the demand for public bicycles was the highest at 6 p.m. In addition, in this paper compare four additional regression algorithms in addition to the Boosted Decision Tree Regression algorithm to measure algorithm performance. The results showed high accuracy in the order of the First Boosted Decision Tree Regression Algorithm (0.878802), second Decision Forest Regression (0.838232), third Poison Regression (0.62699), and fourth Linear Regression (0.618773). Based on these predictions, it is expected that more public bicycles will be placed at rental stations near public transportation to meet the growing demand for commuting hours and that more bicycles will be placed in rental stations in summer than winter and the life of bicycles can be extended in winter.

Relationships between Psychosocial Work Environment and Health Outcomes among Nurses in Integrated Nursing Care Wards and General Wards (간호·간병통합서비스 병동과 일반병동 간호사의 심리사회적 업무환경과 건강결과와의 관련성)

  • Kwon, Jaeyoung;Cho, Sung-Hyun
    • Korean Journal of Occupational Health Nursing
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    • v.33 no.3
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    • pp.129-139
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    • 2024
  • Purpose: This study aimed to examine the differences in nurses' psychosocial work environment (PWE) in integrated nursing care wards (IWs) with higher nurse staffing and general wards (GWs) with lower staffing, and to analyze the effect of PWE on their health outcomes. Methods: Data were collected from 151 nurses in IWs and 156 nurses in GWs at a tertiary hospital in Seoul in 2023. The Korean version of the Copenhagen Psychosocial Questionnaire III was used to measure PWE and health outcomes. Regression analyses were conducted to examine the effect of PWE on health outcomes. Results: The most negative aspects of the nurses' work environment were found in the work demand domain. IW nurses (vs. GW nurses) reported lower work demand, better work organization and job contents, and a more positive work-individual interface. Nurse health outcomes were also better in the IWs. Lower work demand and better work-individual interfaces were positively associated with improved health outcomes, while ward type (IW vs. GW) was not significantly related to health outcomes. Conclusion: Reducing work demand by expanding integrated nursing care services nationwide and improving nurse staffing in GWs is crucial for improving health outcomes.

Forecasting Export Loaded Container Throughput of Incheon Port (인천항의 수출 적컨테이너화물 물동량 추정에 관한 연구)

  • Go, Yong-Gi;Kim, Eun-Ji;Sin, Jeong-Yong;Kim, Tae-Ho
    • Journal of Korea Port Economic Association
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    • v.24 no.3
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    • pp.57-77
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    • 2008
  • The aim of this paper is to make projection of the demand for export loaded container throughput originating at Incheon port in Korea over the period in question. Systematic analysis is used as a forecasting method instead of quantitative analysis. First of all, the method explores coincident indicators which may reflect the square measure of neighboring industrial complexes which originate/destinate general cargo in export traffic trends. It is noted that in terms of the export loaded container throughput, per unit production scale is intermediated transforming from square measure of production facilities to freight weight in Korea. Consequently, the future progress of the volume can be anticipated relying on the development schemes for developing square measure out of the total square of the industrial complexes. Thus, moving-into percentage of the industrial complexes, percentage of business categories, percentage of capacity and percentage of passing through via Incheon port are adopted and the future traffic demand is projected taking advantage of them.

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A Method to Separate Respiration and Pulse Signals from BCG Sensing Data for Companion Animals

  • Kwak, Ho-Young;Chang, Jin-Wook;Kim, Soo Kyun;Song, Woo Jin;Yun, Young-Min
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.2
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    • pp.163-170
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    • 2022
  • Currently, as the number of families living with companion animals increases, the demand for information about the health status of companion animals has increased. As the demand for this increases, there is a need for a method to measure respiration and pulse in companion animals. Considering the characteristics of hairy companion animals, we want to measure respiration and pulse signals using BCG, which is different from adsorption ECG. Since this BCG method is made by mixing respiration and pulse signals into one signal, it is necessary to separate the respiration signal waveform and the pulse signal waveform from one signal waveform. In this paper, a wearable device for BCG measurement was implemented to measure the signal, and a method of separating the signal input from the BCG wearable device into a respiration signal and a pulse signal was proposed.

A Study of the Housing Characteristics and Apartment Choice as a Social Class (사회계층에 따른 주거특성 및 아파트 선택에 관한 연구)

  • Ha, Jeung-Soon
    • Korean Journal of Human Ecology
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    • v.16 no.2
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    • pp.443-454
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    • 2007
  • Survey questionnaires were conducted on housewives under 60 who had bought an apartment in Daegu. The data used in this study is collected Dalseo-Gu, Soosung-Gu and Buk-Gu by means of cluster sampling and from those chosen samples I use convenience sampling. The data were analyzed by SPSS WIN 10.0 program. The purpose of this study is to examine housing characteristics and apartment choice as a social class closely in order to improve value of apartment and to provide housing plan of apartment supply which is distinguished by a social class and moreover, to achieve efficient marketing strategy according to a recent recognition that housing is a kind of commodities. Objective and subjective measure of value are used to classify a social class. Objective measure of value includes scale apartment, a form of possession, a price of apartment, an occupation of husband, family income and academic background and subjective measure of value includes the standard of living out of people's own head. These measure of value are classified by giving consequence to each item with reference to ISC (index of status characteristics) of Wanner. There is a difference of housing characteristics and apartment choice as a social class as a consequence of this study. Therefore, this study suggests repeatedly that it should need not standardized housing supply but apartment supply of diverse demand desire because there is a difference of housing characteristics and apartment choice as a social class.

A Study on Problems and Improvement of Living Measure System - Focused on SH'Moonjung Project - (이주자 생활대책 제도의 문제점과 개선방안에 관한 연구 - SH공사 문정지구를 중심으로 -)

  • Park, Yong-Han
    • The Journal of the Korea institute of electronic communication sciences
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    • v.7 no.6
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    • pp.1505-1511
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    • 2012
  • This study intends to find out a solution to the problems with living measure system. Korea with great economic growth increase the demand of lands for housing, factories and public facilities. Under this circumstance, public developments have been driven in, loss compensation has changed from property compensation into living compensation. The improvements on practical compensation business is : First, it is necessary to legally stipulate living measure in the Act on Land. Second, beekeeping compensation should be tightened. Third, preferential hiring, job recommendation and vocational training should be offered to residents'. These living measures will promote smoothly public development projects.