• 한국유통학회지:유통연구
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• 제17권2호
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• pp.63-92
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• 2012

본 연구는 소비자가 지각하는 유통업체의 위치기반 모바일 쇼핑정보 서비스에 대한 정보의 상황관련성과 정보자극에 대한 PAD 감정변수들(환기, 지배력, 즐거움) 간의 상호 인과관계와 이용의도에 대한 이들의 효과를 실증 연구 하였다. 미국 내 모바일 이용자를 대상으로 무작위 표본추출법에 근거하여 추출되었고, 총 335명의 사용가능한 응답이 수거되었다. 분석결과, 환기와 상황관련성은 즐거움에 정(+)의 영향을 주었으나 지배력은 즐거움에 유의한 영향력을 나타내지 않았다. 즐거움은 이용의도에 정(+)의 영향을 주었다. 본 연구를 통해 위치기반 모바일 서비스에 대한 소비자의 인지적 반응과 감정적 반응을 통합적으로 살펴보았으며, PAD 감정차원간의 체계적인 관계를 규명하였다. 연구결과를 바탕으로 모바일 쇼핑서비스 개발자, 유통업체, 그리고 마케팅 실무자를 위한 시사점을 논의하였으며, 연구의 한계점과 더불어 향후 연구 방향을 제시하였다.

• 한국습지학회지
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• 제18권4호
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• pp.404-412
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• 2016

본 연구는 제한된 인력과 비용을 활용하여 습지 지대에서의 일관되고 적절한 수위자료를 획득하기 위한 방안 수립을 목표로 하였다. 이를 위해 기존의 수위관측소 설치 기준에 입각한 상 하류간의 유기적인 상관관계를 파악하여 관측소간의 최적의 수위관측망의 선정 기술을 개발함으로서 유역을 대표할 수 있는 일관된 수위자료 획득에 중점을 두었다. 우선 기존에 습지 유역을 포함한 충주댐 유역을 대상으로 하천을 중심으로 설치되어 있는 수위관측소 현황을 파악한 후, 유출 특성을 나타내는 대표단위도를 산정한 후 확률밀도함수로 변환하였으며, 대상 유역내에서 엔트로피 이론에 의한 정보 전달량을 산정하였다. 마지막으로 각 관측소 간의 공간적인 상관관계를 분석하고, 정보 전달량과 각 관측소의 상관관계를 고려해 수위관측망을 최적화하였다. 즉, 정보 전달량으로 수위관측소의 개수에 따른 조합을 고려하되, 수위관측소간의 상관분석을 적용하여 수위관측소 설치위치와 개수에 대하여 최적화된 수위관측망을 제시할 수 있었다.

• 한국해안해양공학회지
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• 제18권4호
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• pp.283-293
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• 2006

본 연구의 목적은 금강 하구역 표층에 분포하는 점착성 퇴적물의 침식특성을 정량적으로 산정하고, 그 침식특성의 계절적 변화와 타 지역 침식특성 결과와의 비교/분석을 통한 공간적 변화를 해석하는데 있다. 또한 점착성 퇴적물의 침식특성은 퇴적물 자체의 물리 화학적 기본특성에 의해 크게 영향을 받으므로, 본 연구에서는 이러한 퇴적물의 기본특성이 침식특성에 미치는 영향에 대해서도 해석하였다. 침식실험은 균일저면 조건에서 1개 지점에 대해 계절별로(가을과 겨울) 4회씩 총 8회의 실험이 환형수조를 사용하여 수행되었으며 그 결과 저면밀도 $1.15{\sim}1.34g/cm^3$ 범위에서 침식한계전단응력(${\tau}_{ce.s}$)은 $0.12{\sim}0.36N/m^2$, 침식률 계수(${\varepsilon}_{M.S}$)는 $120.91{\sim}6.72mg/cm^2{\cdot}hr$ 범위의 값을 갖는 것으로 확인되었으며, 산정된 침식특성 매개변수들은 다른 점착성 퇴적물(Okeechobee호, Kaolinite)과 비교해 정량적으로 상당한 차이를 보였으나 금강 하구역 내에서의 계절적 변화는 미미한 것으로 나타났다.

• 한국방재학회:학술대회논문집
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• 한국방재학회 2011년도 정기 학술발표대회
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• pp.172-172
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• 2011

The interaction between land surface and atmosphere is essentially affected by hydrometeorological variables including soil moisture. Accurate estimation of soil moisture at spatial and temporal scales is crucial to better understand its roles to the weather systems. The KLDAS(Korea Land Data Assimilation System) is a regional, specifically Korea peninsula land surface information systems. As other prior land data assimilation systems, this can provide initial soil field information which can be used in atmospheric simulations. For this study, as an enabling high-resolution tool, weather research and forecasting(WRF-ARW) model is applied to produce precipitation data using GFS(Global Forecast System) with GFS embedded and KLDAS soil moisture information as initialization data. WRF-ARW generates precipitation data for a specific region using different parameters in physics options. The produced precipitation data will be employed for simulations of Hydrological Models such as HEC(Hydrologic Engineering Center) - HMS(Hydrologic Modeling System) as predefined input data for selected regional water responses. The purpose of this study is to show the impact of a hydrometeorological variable such as soil moisture in KLDAS on hydrological consequences in Korea peninsula. The study region, Chongmi River Basin, is located in the center of Korea Peninsular. This has 60.8Km river length and 17.01% slope. This region mostly consists of farming field however the chosen study area placed in mountainous area. The length of river basin perimeter is 185Km and the average width of river is 9.53 meter with 676 meter highest elevation in this region. We have four different observation locations : Sulsung, Taepyung, Samjook, and Sangkeug observatoriesn, This watershed is selected as a tentative research location and continuously studied for getting hydrological effects from land surface information. Simulations for a real regional storm case(June 17~ June 25, 2006) are executed. WRF-ARW for this case study used WSM6 as a micro physics, Kain-Fritcsch Scheme for cumulus scheme, and YSU scheme for planetary boundary layer. The results of WRF simulations generate excellent precipitation data in terms of peak precipitation and date, and the pattern of daily precipitation for four locations. For Sankeug observatory, WRF overestimated precipitation approximately 100 mm/day on July 17, 2006. Taepyung and Samjook display that WRF produced either with KLDAS or with GFS embedded initial soil moisture data higher precipitation amounts compared to observation. Results and discussions in detail on accuracy of prediction using formerly mentioned manners are going to be presented in 2011 Annual Conference of the Korean Society of Hazard Mitigation.

• Fisheries and Aquatic Sciences
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• 제25권9호
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• pp.473-488
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• 2022

To have a better understanding of the impact of the PETRONAS oil and gas platform on commercial fisheries activities, Universiti Malaysia Terengganu (UMT) examined two approaches which are data collection from satellite and data collection from fishermen and anglers. By profiling the anglers who utilize reefed oil and gas structures for fishing, it can determine if the design and location of the reef platforms will benefit or negatively impacts those anglers and fisherman. Furthermore, this assessment will be contributing to the knowledge regarding the value of offshore oil and gas platforms as fisheries resources. Collectively, the apparent fishing activity data included, combined with the findings in the reefing viability index will help to inform PETRONAS's future decommissioning decisions and may help determine if the design and proposed locations for future rigs-to-reefs candidates would benefit commercial fishing groups, further qualifying them as appropriate artificial reef candidates. The method applied in this study is approaching by using a data satellite known as Google's Global Fishing Watch technology, which is one of the applications to measure commercial fishing efforts around the globe. The apparent commercial fishing effort around the selected twelve PETRONAS platforms was analyzed from January 2012 to December 2018. Using the data collection from fishermen which is the total estimation of commercial fish value cost (in Malaysia ringgit, MYR [RM]) in Peninsular Malaysia Asset, Sabah Asset, and Sarawak Operation region. The data were extracted every month from 2016 to 2018 from the National Oceanic and Atmospheric Administration database. Most of the selected platforms that show a high frequency of vessels around the year are platform KP-A, platform BG-A and platform PL-B. The estimated values of commercial fishes varied between platforms, with ranged from RM 10,209.92 to RM 89,023.78. Thus, platforms with high commercial fish value are selected for reefing in-situ and will serve multi-purposes and benefit the locals as well as the country. The current study has successfully assessed the potential reefing area of the Malaysian offshore environment with greater representativeness and this paper focused on its potential as a new fishing ground.

• 한국방재안전학회논문집
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• 제16권4호
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• pp.19-31
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• 2023

미래 기후 시나리오에 따르면 우리나라 자연재해의 주요 요인인 태풍의 강도는 강해질 것으로 전망된다. 태풍 강도 증가는 내습 파고 상승으로 이어져 주거, 산업, 관광 등의 용도로 인구 및 건물 밀집도가 높은 연안 지역의 대규모 피해발생 가능성이 높은 상황이다. 따라서 본 연구에서는 동해 해양기상부이 관측자료를 분석하여 최대 유의파고가 나타난 태풍 마이삭(202009) 내습 기간에 대해 파랑추산 수치모형실험을 수행하였다. 파랑추산실험 경계조건은 JMA-MSM의 바람장과 SSP5-8.5 미래 기후 시나리오의 태풍 중심기압 감소율을 적용한 바람장을 사용하였다. 파랑추산실험 결과 SSP5-8.5 시나리오에서 속초항 방파제 전면에서의 파고는 4.06 m에서 4.68 m로 15.27% 증가하였다. 또한, 심해설계파 147-2 격자점 위치에서의 재현빈도는 최소 2배 이상 증가하는 것으로 산출되어, 현재 해안구조물 설계 시 관행적으로 적용하는 50년 재현빈도 심해설계파에 대한 제고가 필요하다.

• 한국병원경영학회지
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• 제9권1호
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• pp.66-94
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• 2004

The objective of this study is to examine how to maximize the efficiency of hospital management by minimizing the unit cost of hospital operation. For this purpose, this paper proposes to develop a model of the profit maximization based on the cost minimization dictum using the statistical tools of arriving at the maximum likelihood values. The preliminary survey data are collected from the annual statistics and their analyses published by Korea Health Industry Development Institute and Korean Hospital Association. The maximum likelihood value statistical analyses are conducted from the information on the cost (function) of each of 36 hospitals selected by the random stratified sampling method according to the size and location (urban or rural) of hospitals. We believe that, although the size of sample is relatively small, because of the sampling method used and the high response rate, the power of estimation of the results of the statistical analyses of the sample hospitals is acceptable. The conceptual framework of analyses is adopted from the various models of the determinants of hospital costs used by the previous studies. According to this framework, the study postulates that the unit cost of hospital operation is determined by the size, scope of service, technology (production function) as measured by capacity utilization, labor capital ratio and labor input-mix variables, and by exogeneous variables. The variables to represent the above cost determinants are selected by using the step-wise regression so that only the statistically significant variables may be utilized in analyzing how these variables impact on the hospital unit cost. The results of the analyses show that the models of hospital cost determinants adopted are well chosen. The various models analyzed have the (goodness of fit) overall determination (R2) which all turned out to be significant, regardless of the variables put in to represent the cost determinants. Specifically, the size and scope of service, no matter how it is measured, i. e., number of admissions per bed, number of ambulatory visits per bed, adjusted inpatient days and adjusted outpatients, have overall effects of reducing the hospital unit costs as measured by the cost per admission, per inpatient day, or office visit implying the existence of the economy of scale in the hospital operation. Thirdly, the technology used in operating a hospital has turned out to have its ramifications on the hospital unit cost similar to those postulated in the static theory of the firm. For example, the capacity utilization as represented by the inpatient days per employee tuned out to have statistically significant negative impacts on the unit cost of hospital operation, while payroll expenses per inpatient cost has a positive effect. The input-mix of hospital operation, as represented by the ratio of the number of doctor, nurse or medical staff per general employee, supports the known thesis that the specialized manpower costs more than the general employees. The labor/capital ratio as represented by the employees per 100 beds is shown to have a positive effect on the cost as expected. As for the exogeneous variable's impacts on the cost, when this variable is represented by the percent of urban 100 population at the location where the hospital is located, the regression analysis shows that the hospitals located in the urban area have a higher cost than those in the rural area. Finally, the case study of the sample hospitals offers a specific information to hospital administrators about how they share in terms of the cost they are incurring in comparison to other hospitals. For example, if his/her hospital is of small size and located in a city, he/she can compare the various costs of his/her hospital operation with those of other similar hospitals. Therefore, he/she may be able to find the reasons why the cost of his/her hospital operation has a higher or lower cost than other similar hospitals in what factors of the hospital cost determinants.