• Title/Summary/Keyword: Actual data

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Climatic Water Balance Analysis using NOAA/AVHRR Satellite Images

  • KWON Hyung J.;KIM Seong J.;SHIN Sha C.
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.7-9
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    • 2004
  • The purpose of this study was to analyze the climatic water balance of the Korean peninsula using meteorological data and the evapotranspiration (ET) derived from NOAA/AVHRR. Quantifying water balance components is important to understand the basic hydrology. In this study, a simple method to estimate the ET was proposed based on a regression approach between NDVI and Morton's actual ET using NOAA/AVHRR data. The Morton's actual ET for land surface conditions was evaluated using a daily meteorological data from 77 weather stations, and the monthly averaged Morton's ETs for each land cover was compared with the monthly NDVIs during the year 2001. According to the climatic water balance analysis, water deficit and surplus distributed maps were created from spatial rainfall, soil moisture, and actual and potential ETs map. The results clearly showed that the temporal and spatial characteristics of dryness and wetness may be detected and mapped based on the wetness index.

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Development of Construction Cost Estimation Model with the Actual Cost Data for Rural Development Project (실적자료에 의한 농어촌정비사업 사업비 결정에 있어서의 단가모델 구축)

  • 배연정;이정재;윤성수
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 1999.10c
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    • pp.359-364
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    • 1999
  • Providing the reasonable construction cost at the initial stage of the rural development project, is a kety factor of the each step of project , such as propriety analysis , cost planning , design, and planning the progress of work. The explainable construction cost can be estimated at the early stage using the actual cost data by statistical analysis. In this study, the influence factors are extracted by factor analysis with the actual cost data of rural development project, object cost model is developed by multiple regression analysis, and verify the developed cost model by Monte-Carlo simulation .

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A Study on A Fuzzy System to Predict Irrigation Reservoirs Storage Rate (관개용 저수지에서의 저수율 퍼지 예측시스템에 관한 연구)

  • 정건배;박민용
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.12
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    • pp.132-136
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    • 1994
  • Presented is the study on design and implementation of a fuzzy system to approximately reason using measured actual storage rate in irrigation reservoirs. To design Fuzzy reasoning systems. Minimum Operation Rule by Mamdani was applied. Fuzzy variable and membership functions are determined after identifying storage-rate affecting factor and followed simulation. Hydrological model to express actual situation within drought areal boundary is generally too complex. Hereby, considering irregularity of time-rate storage change during irrigation, this system uses irrigation water and meteorological data as a IN-data. It was abvious the results were closely corresponding to the actual data observed.

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Estimation of fabric properties using Cusick Drape simulation (Cusick Drape 시뮬레이션을 이용한 옷감의 물성 예측)

  • Kim, Jin-Kyum;Seo, Young-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.80-81
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    • 2022
  • In this paper, the physical properties of actual fabric data are predicted using the Cusick drape system, which is a means of measuring the physical properties of fabrics. Using a three-dimensional volumetric system, the cloth data of the actual Cusick drape system is acquired in a three-dimensional point cloud format. Cusick drape simulation is performed using mesh data of the same shape and size as the fabric, and the physical parameters of the draped fabric most similar to the actual draped fabric are acquired.

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Vessel traffic geometric probability approaches with AIS data in active shipping lane for subsea pipeline quantitative risk assessment against third-party impact

  • Tanujaya, Vincent Alvin;Tawekal, Ricky Lukman;Ilman, Eko Charnius
    • Ocean Systems Engineering
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    • v.12 no.3
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    • pp.267-284
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    • 2022
  • A subsea pipeline designed across active shipping lane prones to failure against external interferences such as anchorage activities, hence risk assessment is essential. It requires quantifying the geometric probability derived from ship traffic distribution based on Automatic Identification System (AIS) data. The actual probability density function from historical vessel traffic data is ideal, as for rapid assessment, conceptual study, when the AIS data is scarce or when the local vessels traffic are not utilised with AIS. Recommended practices suggest the probability distribution is assumed as a single peak Gaussian. This study compares several fitted Gaussian distributions and Monte Carlo simulation based on actual ship traffic data in main ship direction in an active shipping lane across a subsea pipeline. The results shows that a Gaussian distribution with five peaks is required to represent the ship traffic data, providing an error of 0.23%, while a single peak Gaussian distribution and the Monte Carlo simulation with one hundred million realisation provide an error of 1.32% and 0.79% respectively. Thus, it can be concluded that the multi-peak Gaussian distribution can represent the actual ship traffic distribution in the main direction, but it is less representative for ship traffic distribution in other direction. The geometric probability is utilised in a quantitative risk assessment (QRA) for subsea pipeline against vessel anchor dropping and dragging and vessel sinking.

Determining Factors of Intention to Actual Use of Charged Long-term Care Services for the Aged (유료노인장기요양보호서비스 이용의사 결정요인)

  • Yoo, Jin-Yeong;Chun, Jin-Ho
    • Journal of Preventive Medicine and Public Health
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    • v.38 no.1
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    • pp.16-24
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    • 2005
  • Objectives : To help develop strategies to cope with the changes arising from the rapid aging process by predicting the determining factors of intention to actual use of the charged long-term care services for elderly as perceived by the middle aged who play the major role of supports. Methods : Subjects were the parents (men 177, women 507) in their 40s of the students selected from a university of Busan city. A questionnaire survey was conducted for 4 weeks in October 2003 about the knowledge for long-term care service, the intention of actual use, and the preferences about the type of service suppliers. Data analysis was performed with frequency, chi-square test, and t-test using SPSS program (ver 10.0K), along with data mining using decision tree of Enterprise Miner V8.2 by SAS. Results : About half of the subjects (53.7%) had the actual experiences of elderly supports. Intentions to use the charged services were relatively high in home visiting nursing care service (40.1%) and long-term care facilities service (40.4%), and were influenced by previous knowledge about the services. The intentions were stronger in women, those with higher education, and those with greater income levels. Actual elderly supports were mostly (80%) done by women, and the perceived burdens for the supports were bigger in women and those of lower socioeconomic level. Desired charges were about 10,000 won for the bath service, 20,000 won for the rests services per day, and about 500,000 won for the long-term care facilities service per month. From the result of decision tree analysis, the job professionalism was the most important determining factor of intention to actual use of the services with validation as $63{\sim}71%$. Health and welfare mixed type facilities were preferred, and the most important consideration was the level of professionalism. Conclusions : Intention to actual use of the charged services was largely determined by the aspects of time and cost. Polices to increase the number of service suppliers and to decrease the burdens perceived by actual supporters were strongly recommended.

A Study on Basic Data for the Architectural Plan of Small and medium-sized Local Airports - Focused on Analysis of Airline Demands and the Actual Conditions of Passenger Facilities - (중소형 지방공항의 건축계획을 위한 기초자료 연구 -항공수요 및 여객이용시설 실태 분석을 중심으로-)

  • Park, Chung-Keun
    • Journal of the Korean Institute of Rural Architecture
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    • v.16 no.3
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    • pp.9-18
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    • 2014
  • Small and medium-sized local airports have suffered from chronic operating deficits due to many factors except for large airports in Incheon, Gimpo, Jeju and Gimhae. These small and medium-sized local airports have currently been degraded to inefficient airports handling the significantly lower airline demand than their carrying capacities. In this context, this study conducted a survey on the actual conditions of the airline demand in small and medium-sized local airports for the last 10 years after the opening of the Korea Train eXpress and investigated the causes and actual conditions of an increase and a decrease in the airline demand. In addition, it analyzed the functionality, convenience and economic feasibility, competition elements in comparison with other means of transportation, and the actual competitive conditions of local airports. It investigated facility improvements through a field visit for local airports and analyzed the performance rate of passenger demands and the use rate of terminal facilities according to a change in the airline demand. This study aimed to provide basic data in the architectural planning field, needed to establish a plan for the airport revitalization of local airports with the results of an analysis on the actual conditions of small and medium-sized local airports.

Study on Automatic External Defibrillators deployed at General Supermarkets

  • PARK, Sang-Kyu;KIM, Jee-Hee;UHM, Tai-Hwan
    • Journal of Distribution Science
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    • v.17 no.12
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    • pp.63-70
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    • 2019
  • Purpose: This study was to propose effective deployment of automatic external defibrillators (AEDs) installed at general supermarkets. Research design, data, and methodology : We conducted interview and data surveys on 72 large distributors in Seoul and Gyeonggi province in South Korea. The content of this survey was consisted of general status on the general supermarkets, AED deployment and management regarding public access defibrillation (PAD). GPower (v 3.1.9.4; Universität Kiel, Kiel, Germany) was also used to analyze statistical power. Radius and actual distance, radius and retrieval time were compared by t-test at α=.05. respectively. Results : Difference between the radius (102.7 meters) and the actual distance (187.8 meters) was 85.1m, it had statistically significant difference (p<.001). The actual distance was longer compared to the radius distance. Difference between the radius (114.1 seconds) and the retrieval time (208.7 seconds) was 94.6s, it had statistically significant difference (p<.001). The retrieval time took longer compared to the radius time as well. Conclusions : The finding shows that only 45.9% of the general supermarkets are satisfied with the actual AED coverage within 3 minutes. This needs to enhance AED deployment to reduce defibrillation time and AED management to boost application in South Korea.

Relationship among Pro-environmental Attitude, Behavior to Decrease Exposure, Knowledge of Endocrine Disruptors, and Obesity-related Profiles in Nursing Students (간호대학생들의 환경친화적 태도, 노출저감화 행동, 내분비계 장애물질에 대한 지식과 비만의 관련성 연구)

  • Kim, Min A
    • Journal of Korean Biological Nursing Science
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    • v.18 no.3
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    • pp.160-168
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    • 2016
  • Purpose: This study was conducted to examine the pro-environmental attitude (actual commitment domain, verbal commitment domain, affect domain), behavior to decreased exposure and knowledge of endocrine disruptors by obesity -related profiles (BMI, body fat percentage, visceral fat percentage, skeletal muscle mass percentage, waist circumference, waist-hip ratio). Methods: A cross-sectional study was conducted with 102 nursing students. Data were collected from November to December, 2015 using self-report questionnaires and physical measurements. Data were analyzed using t-test, Pearson correlation and coefficients with SPSS 18.0. Results: The study results showed that actual commitment domain of pro-environmental attitude and behavior to decreased exposure level on endocrine disruptors were significantly related to visceral fat percentage. Actual commitment domain of a pro-environmental attitude was significantly related to body fat percentage. Pro-environmental attitude was significantly related to the behavior to decreased exposure level on endocrine disruptors and knowledge thereof. Conclusion: These findings suggest that visceral fat and body fat percentages were significantly related to the actual commitment domain of a pro-environmental attitude. Therefore, a replication study is recommended to understand the connection between endocrine disruptors and obesity. In addition, developing an education program about endocrine disruptors for nursing students is recommended. In particular, a pro-environmental attitude, especially on actual commitment domain, could be involved as an education program.

A Comparative Study between BPNN and RNN on the Settlement Prediction during Soft Ground Embankment (연약지반상의 성토시 침하예측에 대한 BPNN과 RNN의 비교 연구)

  • Kim, Dong-Sik;Chae, Young-Su;Kim, Young-Su;Kim, Hyun-Dong;Kim, Seon Hyung
    • Journal of the Society of Disaster Information
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    • v.3 no.1
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    • pp.37-53
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    • 2007
  • Various difficult problems occur due to insufficient bearing capacity or excessive settlements when constructing roads or large complexes. Accurate predictions on the final settlement and consolidation time can help in choosing the ground improvement method and thus enables to save time and expense of the whole project. Asaoka's method is probably the most frequently used for settlement prediction which are based on Terzaghi's one dimensional consolidation theory. Empirical formulae such as Hyperbolic method and Hoshino's method are also often used. However, it is known that the settlement predicted by these methods do not match with the actual settlements. Furthermore these methods cannot be used at design stage when there is no measured data. To find an elaborate method in predicting settlement in embankments using various test results and actual settlement data from domestic sites, Back-Propagation Neural Network(BPNN) and Recurrent Neural Network(RNN) were employed and the most suitable model structures were obtained. Predicted settlement values by the developed models were compared with the measured values as well as numerical analysis results. Analysis of the results showed that RNN yielded more compatible predictions with actual data than BPNN and predictions using cone penetration resistance were closer to actual data than predictions using SPT results. Also, it was found that the developed method were very competitive with the numerical analysis considering the number of input data, complexity and effort in modelling. It is believed that RNN using cone penetration test results can make a highly efficient tool in predicting settlements if enough field data can be obtained.

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