• Title/Summary/Keyword: 도구변수

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Mediating Effects of Family Function in the Relationship between Depression and Health Promotion Behavior among University Students (라이프케어증진을 위한 대학생의 우울과 건강증진행위의 관계에서 가족기능의 매개효과)

  • Bae, Eun-Sook;Kang, Hye-Seung;Lee, So-Young
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.3
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    • pp.333-342
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    • 2020
  • The purpose of this study is to identify the mediating effects of family function in the relationship between depression and health promotion behavior among university students. Data were collected from December 1 to December 31, 2018 and the participants included 340 university students, who responded to the question regarding health promotion behavior, family function and depression. The data were analyzed by descriptive statistics, t-test, ANOVA, Spearman's correlation coefficients, and multiple regression, mediation regression analysis of Baron and Kenny using the SPSS/WIN 23.0 program. As a result, A negative correlation is found between health promotion behavior and depression (r=-.48, p<.001), and positive correlation is among family function (r=33, p<.001), negative correlation is found between depression and family function (r=-.45, p<.001). family function have a partial mediating effect on the relationship between depression and health promotion behavior (Sobel test: -2.53, p<.05). Results of this study suggest that it is important to manage family function to improve health promotion behavior caused by depression.

Study of Correlation Between Flash Flood and GcIUH Parameters using GIS (GIS를 이용한 한계유량과 GcIUH 매개변수간의 상관성분석에 관한 연구)

  • Yang, In Tae;Park, Kheun
    • Journal of Korean Society for Geospatial Information Science
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    • v.21 no.4
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    • pp.37-44
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    • 2013
  • Concentrated localized torrential rains due to global warming and climate change have resulted in much water damage each year. GIS is used as a tool for predicting the peak-outflows caused by these regional torrential rains in mountainous rivers. However, the research of the resolution of the data is limited, and most of approaches are about hydrological geographic. This paper estimates the flood discharge needed for decision of standard rainfall of automatic rainfall warning system by using GIS with GcIUH model, and establishes the criteria of flash flood warning. It also has analyzed the terrain in river basin, extracted the morphological characteristics parameters of water shed such as stream width, channel slope, channel length, shape factor, and GcIUH parameters, and analyzed the relationship between them.

Runoff Analysis Based on the Number of Hydrologic Response Unit Using SWAT Model (SWAT모형을 이용한 HRU 분할에 따른 유출량 분석)

  • Kim, Dae-Young;Lee, C㏊ng-Won;Park, Nam-Hee;Kim, Chul
    • 한국공간정보시스템학회:학술대회논문집
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    • 2007.06a
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    • pp.436-440
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    • 2007
  • ArcView와 연동하는 SWAT(Soil and Water Assessment Tool)은 수문평가 도구로써 사용되는 모형이다. 이러한 SWAT모형은 유역의 서로 다른 표면 특성을 반영할 수 있도록 대상유역을 몇 개의 소유역으로 나누고 소유역 내에서 유사한 특성을 나타내는 HRU으로 세분화한다. 모형에서는 유역부분과 수체부분으로 나누어 모의가 이루어지며 각 소유역에서 물수지식에 따라 강우량, 지하수로의 침투량, 증발산량, 그리고 표면 유출량을 산정한다. SWAT 모형은 많은 입력 자료가 있으며 그 중에서도 소유역 개수와 HRU개수가 SWAT 모형의 결과에 많은 영향을 미칠 것으로 생각되어 본 논문에서는 이에 대한 영향을 분석하였다. 연구 대상지역은 함평천 유역으로 전라남도 함평군과 무안군 사이에 위치하고 있으며 유역의 면적은 $196.4km^2$이고 유역의 대부분이 산지와 농업지역으로 이루어져 있다. SWAT 모형을 모의하기 위한 지형자료는 1:25,000 수치지도, 농업과학기술원의 1:25,000 정밀토양도, 환경부의 토지피복도를 사용하였고 기상자료와 강우자료는 목포기상관측소의 자료를 사용하였다. 매개변수를 추정하기위해 환경부의 오염총량관리 세유역을 사용하였으며 모의 결과를 실측치와 비교함으로서 매개변수를 추정하였다. 추정된 매개변수를 이용하고 연구대상지역의 소유역 개수와 HRU개수를 여러 가지로 변화시켜 모의하였으며 그 결과를 실측치와 비교하여 최적 소유역 개수와 HRU 개수를 추정하였다. 본 연구의 결과는 SWAT모형 수행시 소유역의 면적에 대한 객관적인 기준을 제시할 수 있을 것이다.

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Sensitivity Analysis for Optimization Model in Coastal Area (해안지역 지하수 최적개발 모델의 민감도 분석)

  • Hong Sung-Hun;Park Namsik
    • Proceedings of the Korea Water Resources Association Conference
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    • 2005.05b
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    • pp.1189-1193
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    • 2005
  • 해안지역 지하수 개발에 있어 이익을 최대화하는 동시에 개발로 인한 부정적 영향을 최소화하는 4단계 확보방안이 제시되었다(박남식 등, 2004). 4단계 확보 방안 중 처음 3단계 방안에 대한 의사 결정 지원 도구역할을 할 수 있는 해안지하수 최적개발 모델이 개발되었다(박남식 등, 2003, 홍성훈, 2004). 개발된 모델은 대상 관정의 양수량과 위치에 대한 최적해 뿐만이 아니라 해수침투를 방지 및 제어에 대하여서도 최적화가 가능하다. 본 연구에서는 개발된 모델의 민감도 분석 결과를 다루고 있다. 민감도 분석의 목적은 불확실성을 내포하고 있는 대수층의 주요 매개변수, 경계조건 등에 의해 야기될 수 있는 모델의 불확실성을 정량화하는 것이다(Anderson 등, 1992). 따라서 민감도 분석은 모델의 특성에 대한 이해뿐만이 아니라 모델에 있어 매개변수들의 영향 및 거동을 고찰하는데 중요한 연구이다. 구축된 최적개발 모델을 이용하여 수리전도도, 함양율, 대수층 두께와 같은 주요 매개변수들이 최적양수량 그리고 관정의 최적위치에 미치는 영향을 고찰하였다. 그 결과 회수율은 함양율 증가에 따라 증가하는데, 높은 수리전도도에서는 함양율과 선형관계를, 낮은 수리전도도에서는 비선형관계를 보였다. 관정의 최적위치는 수리전도도에 가장 민감하였으며, 함양율 증가에 따라 해안으로 이동하였다. 마지막으로 최적개발량과 최적위치를 동시에 고려할 경우 최적개발량만을 고려한 경우보다 회수율이 향상되었다.

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A Study on Establishment of the Helicopter Initial Design Model Using the Modified Weight Estimation Equations (수정된 추정식을 적용한 헬리콥터 초기 설계 모델 정립에 관한 연구)

  • Kim, Seung Bum;Choi, Jong Soo
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.43 no.3
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    • pp.213-223
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    • 2015
  • The helicopter initial design model was established by using the latest weight estimation equations based on the Tishchenko's methodology through the study existing initial design tools. The sequential decomposition method is used to reduce analysis time in the sizing. Empirical parameters of the weight estimation equation were also extracted from numerical and regression analysis for a helicopter database. Design input and output values were compared with the RISPECT design tool. Finally, comparison of the re-design resulting for several existing helicopters was presented and showed the good agreement within less than 5% in the weight estimation and main rotor sizing. Established initial design model was proved to be effectively used as initial design tool.

An Optimization Tool for Determining Processor Affinity of Networking Processes (통신 프로세스의 프로세서 친화도 결정을 위한 최적화 도구)

  • Cho, Joong-Yeon;Jin, Hyun-Wook
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.2
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    • pp.131-136
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    • 2013
  • Multi-core processors can improve parallelism of application processes and thus can enhance the system throughput. Researchers have recently revealed that the processor affinity is an important factor to determine network I/O performance due to architectural characteristics of multi-core processors; thus, many researchers are trying to suggest a scheme to decide an optimal processor affinity. Existing schemes to dynamically decide the processor affinity are able to transparently adapt for system changes, such as modifications of application and upgrades of hardware, but these have limited access to characteristics of application behavior and run-time information that can be collected heuristically. Thus, these can provide only sub-optimal processor affinity. In this paper, we define meaningful system variables for determining optimal processor affinity and suggest a tool to gather such information. We show that the implemented tool can overcome limitations of existing schemes and can improve network bandwidth.

Accident Rate Forecasting Model by Using Speed on Freeway (속도를 이용한 고속도로 구간 사고율 예측 모형)

  • Jeong, Eun-Bi;O, Cheol
    • Journal of Korean Society of Transportation
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    • v.29 no.4
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    • pp.103-111
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    • 2011
  • The speed is one of the significant factors affecting accident occurrence. In particular, freeway accidents are highly associated with the speed because vehicles travel on the freeway at higher speed leading to greater potential of severer injury. Efforts attempting to relating speed with accident occurrence have not been significantly made in Korea. The objective of this study is to model the relationship between speed and accident rate on freeways. Loop detector data and accident data obtained from a stretch of Kyungboo freeway during the recent five years, 2005-2009, were used to establish the model. Multiple linear regression analyses showed that median, minimum and standard deviation of speed were contributing variables in the model. The statistical significance identified by the analyses supports the feasibility of the model in evaluating various transportation policies and operations strategies in terms of traffic safety.

Latent class model for mixed variables with applications to text data (혼합모드 잠재범주모형을 통한 텍스트 자료의 분석)

  • Shin, Hyun Soo;Seo, Byungtae
    • The Korean Journal of Applied Statistics
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    • v.32 no.6
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    • pp.837-849
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    • 2019
  • Latent class models (LCM) are useful tools to draw hidden information from categorical data. This model can also be interpreted as a mixture model with multinomial component distributions. In some cases, however, an available dataset may contain both categorical and count or continuous data. For such cases, we can extend the LCM to a mixture model with both multinomial and other component distributions such as normal and Poisson distributions. In this paper, we consider a LCM for the data containing categorical and count data to analyze the Drug Review dataset which contains categorical responses and text review. From this data analysis, we show that we can obtain more specific hidden inforamtion than those from the LCM only with categorical responses.

Prediction and Evaluation of Progressive Failure Behavior of CFRP using Crack Band Model Based Damage Variable (Crack Band Model 기반 손상변수를 이용한 탄소섬유강화 복합재료 적층판의 점진적 파손 거동 예측 및 검증)

  • Yoon, Donghyun;Kim, Sangdeok;Kim, Jaehoon;Doh, Youngdae
    • Composites Research
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    • v.32 no.5
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    • pp.258-264
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    • 2019
  • In this paper, a progressive failure analysis method was developed using the Hashin failure criterion and crack band model. Using the failure criterion, the failure initiation was evaluated. If the failure initiation is occurred, the damage variables at each failure modes (fiber tension & compression, matrix tension & compression) was calculated according to linear softening degradation behavior and the variables are used to derive the damaged stiffness matrix. The damaged stiffness matrix is reflected to damaged material and the progressive failure analysis is continued until the damage variables to be 1 that complete failure of material. A series of processes were performed using FE commercial code ABAQUS with user defined material subroutine (UMAT). To evaluate the proposed progressive failure model, the experimental results of open hole composite laminate tests was compared with numerical result. Using digital image correlation system, the strain behavior also was compared. The proposed numerical results were coincided well with the experimental results.

The Trends and Prospects of Mobile Forensics Using Linear Regression

  • Choi, Sang-Yong
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.10
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    • pp.115-121
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    • 2022
  • In this paper, we analyze trends in the use of mobile forensic technology, focusing on cases where mobile forensics are used, and we predict the development of future mobile forensics technology using linear regression used in future prediction models. For the current status and outlook analysis, we extracted a total of 8 variables by analyzing 1,397 domestic and foreign mobile forensics-related cases and newspaper articles. We analyzed the prospects for each variable using the year of occurrence as an independent variable, seven variables such as text (text message usage information), communication information (cell phone communication information), Internet usage information, messenger usage information, stored files, GPS, and others as dependent variables. As a result of the analysis, among various aspects of the use of mobile devices, the use of Internet usage information, messenger usage information, and data stored in mobile devices is expected to increase. Therefore, it is expected that continuous research on technologies that can effectively extract and analyze characteristic information of mobile devices such as file systems, the Internet, and messengers will be needed As mobile devices increase performance and utilization in the future and security technology.