• 한국대기환경학회지
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• 제10권4호
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• pp.260-280
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• 1994

The STEM II(Sulfur Transport Eulerian Model II) was adapted to simulate transport/ chemistry/deposition of air Pollutants in the Eastern China and Korea. A 32 hour model simulation starting from 9 A.M. of 1989 November 25 during which no preciptation was observed. The Prevailing wind direction is from west to east. The MM4(Meteorological Model Version 4) was used to generate meteorological data such as temperatures, horizontal wind velocities and directions, humidities, air densities. Eddy diffusivities, dry deposition velocities and vertical wind velocities were calculated from the meteorological data. The initial condition and the emission data base were constructed from the measurements and governmental reports respectively. The model predictions of NO, NO$_2$, SO$_2$, $O_3$ at Seoul, Inchon and Pusan agree reasonably well with measurements. The model's predictability for the primary air pollutants is improved considerably as the time passes. Thus, it is concluded that the model's predictability can be significantly enhanced by reducing the uncertainties of initial conditions.

• The Journal of Asian Finance, Economics and Business
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• 제5권4호
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• pp.117-125
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• 2018

As various types of information technology systems are becoming more pervasive than ever, many studies have evaluated the systems from the user perspective. Some of them have used surveys to measure consumers' cognitive responses to the target technology. However, this method may cause problems if the survey participants do not have a useful frame of reference for evaluating an unfamiliar system. To examine this issue, the current study empirically tested the effect of personal product knowledge on the predictability of a behavioral model, such as Technology Acceptance Model. A series of measurement invariance tests as well as multi-group comparison tests were conducted for rigorous examination of the data. Our analysis showed that the variance of attitude that is explained by the two believes (perceived usefulness and ease of use) was relatively small when the survey respondents had lower amount of product knowledge. Moreover, the group had weaker causal relationship between attitude and intention to use the technology, hindering the predictability of the research model. The results indicated that respondents should have a certain amount of knowledge of the target system in order to form accurate beliefs and behavioral decisions. The findings of this study provide important implications on sampling strategies for researchers with new technology.

• 한국의류학회지
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• 제22권5호
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• pp.617-627
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• 1998

In marketing reserach, the ultimate goal is to increase predictability of consumer's purchse behavior. However, most of the marketing researchers measure purchase intention rather than behavior assuming that the consumer's purchase behaviors will coincide with their intentions. Lately, there have been many arguments whether purchase intention is meaningful as a determinant or a predictor for purchase behavior. Additionally, many studies reported substantial variations among the 'product categories. The purpose of this study was to find out the relationship between consumer's purchase intention and purchase behavior of apparel products. Two research questions were set up. One was to find out the relationship between the intention and behavior, and the other was to find out the factors affecting the relationship. It was found out that mere intention could neither explain nor predict behavior, and that the factors affecting intenting intention- behavior inconsistency had to be submitted for explanation and prediction. These factors could explain inconsistency between the intention and the behavior. Regression equations in the past researches explained aggregate results, but coludn't explain each consumer's intention-behavior inconsistency. The integration of the specific intention and the affecting factors can increase predictability of each consumer's purchase behavior.

• 대기
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• 제22권4호
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• pp.455-464
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• 2012

This study investigates a 12 month-lead predictability of PNU Coupled General Circulation Model (CGCM) V1.1 hindcast, for which an oceanic data assimilated initialization is used to generate ocean initial condition. The CGCM, a participant model of APEC Climate Center (APCC) long-lead multi-model ensemble system, has been initialized at each and every month and performed 12-month-lead hindcast for each month during 1980 to 2011. The 12-month-lead hindcast consisted of 2-5 ensembles and this study verified the ensemble averaged hindcast. As for the sea-surface temperature concerns, it remained high level of confidence especially over the tropical Pacific and the mid-latitude central Pacific with slight declining of temporal correlation coefficients (TCC) as lead month increased. The CGCM revealed trustworthy ENSO prediction skills in most of hindcasts, in particular. For atmospheric variables, like air temperature, precipitation, and geopotential height at 500hPa, reliable prediction results have been shown during entire lead time in most of domain, particularly over the equatorial region. Though the TCCs of hindcasted precipitation are lower than other variables, a skillful precipitation forecasts is also shown over highly variable regions such as ITCZ. This study also revealed that there are seasonal and regional dependencies on predictability for each variable and lead.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제8권4호
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• pp.270-275
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• 2008

Under ubiquitous environment, recommendation system is using the collaborative filtering methods by quantifying context information, but insufficient context information can cause inaccurate recommendation result. In order to solve such problems, the researcher used context information and user's profile. But service history information in users' profiles can have the problems of being influenced by change of the user's taste or fashion as time passes by. In addition, context information and user's profile can't be properly inter-locked according to situation, which can cause inaccurate predictability. In this paper, in case a user's taste or fashion is changed as time passes by, the researcher didn't apply bundled-up value to the user's profile but applied different weight according to change of time. And the researcher could solve the problem that context information and a user's profile can't be properly inter-locked according to situation by applying different weight to the result gained by means of collaborative filtering and then by unifying it. In such ways, the researcher could improve predictability.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2004년도 춘계학술대회
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• pp.1801-1806
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• 2004

Stochastic nature of subgrid-scale stress causes the predictability problem in large eddy simulation (LES) by which the LES solution field decorrelates with field from filtered directnumerical simulation (DNS). In order to evaluate the predictability limit in a priori sense, the information on the interplay between resolved scale and subgrid-scale (SGS) is required. In this study, the analysis on the inter-scale interaction is performed by applying tophat and cutoff filters to DNS database of flow over a circular cylinder at Reynolds number of 3900. The effect of filter shape is investigated on the interpretation of correlation between scales. A critique is given on the use of tophat filter for SGS analysis using DNS database. It is shown that correlations between Karman vortex and SGS kinetic energy drastically decrease when the cutoff filter is used, which implies that the small scale universality holds even in the presence of the large scale coherent structure.

• 대한기관식도과학회:학술대회논문집
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• 대한기관식도과학회 1993년도 제27차 학술대회 초록집
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• pp.104-104
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• 1993

갑상선결절에서는 양성질환과 악성질환의 감별이 치료방침의 결정에 매우 중요하다. 술전검사 방법으로 세침흡인세포검사는 비교적 간단하고 정확하여 널리 시행되고있다. 이에 저자들은 1989년 1월부터 1992년 12월까지 원자력병원 이비인후과에서 갑상선질환으로 수술을 받은 203명의 환자중 110명을 대상으로, 세침흡인세포검사를 술후 병리조직학적 진단과 비교하여 다음과 같은 결과를 얻었다. 병리조직학적으로 전체 110명중 악성종양이 79명으로 70.9%를 차지하였고 세침흡인세포 검사의 민감도는 86.5%, 특이도 90.4%, 위음성율 13.5%, 위양성율 9.6%, 양성예측도 97.5%, 음성예측도 60.1%, 진단적 정확도는 87.3%이었다.

• 한국직업건강간호학회지
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• 제24권2호
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• pp.114-121
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• 2015

Purpose: The purpose of this study was to assess the psychosocial work environment of hospital nurses to identify influences of psychosocial work environment on stress, depression, sleep disorder, and burnout. Methods: A total of 219 nurses working in one hospital were surveyed by using the Korean version of the Copenhagen Psychosocial Questionnaire (COPSOQ-K) mental health and psychosocial work environment. The impact of the psychosocial work environment on mental health was analyzed using multiple regression. Results: Mental health variables are correlated with each other. The psychosocial work environment variables and mental health variables are mostly correlated. To assess the psychosocial work environment that affects mental health the most, multiple regression was used. Work-family conflict was the most powerful explanation of all the mental health variables. Work pace, social community at work, mutual trust among employees, predictability, and influence were found to be affecting some mental health variables. Conclusion: To improve the mental health of nurses, it is necessary to consider work pace, social community at work, mutual trust among employees, predictability, influence focus on work-family conflict.

• 한국농림기상학회:학술대회논문집
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• 한국농림기상학회 2011년도 학술발표회
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• pp.20-27
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• 2011

A system for fine-resolution long-range weather forecast is introduced in this study. The system is basically consisted of a global-scale coupled general circulation model (CGCM) and Weather Research and Forecast (WRF) regional model. The system makes use of a data assimilation method in order to reduce the initial shock or drift that occurs at the beginning of coupling due to imbalance between model dynamics and observed initial condition. The long-range predictions are produced in the system based on a non-linear ensemble method. At the same time, the model bias are eliminated by estimating the difference between hindcast model climate and observation. In this research, the predictability of the forecast system is studied, and it is illustrated that the system can be effectively used for the high resolution long-term weather prediction. Also, using the system, fine-resolution climatological data has been produced with high degree of accuracy. It is proved that the production of agrometeorological variables that are not intensively observed are also possible.

• 한국환경과학회지
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• 제31권7호
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• pp.555-567
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• 2022

With the introduction of the tele-monitoring system (TMS) in South Korea, monitoring of the concentration of pollutants discharged from nationwide water quality TMS attachments is possible. In addition, the Ministry of Environment is implementing a smart sewage system program that combines ICT technology with wastewater treatment plants. Thus, many institutions are adopting the automatic operation technique which uses process operation factors and TMS data of sewage treatment plants. As a part of the preliminary study, a multilayer perceptron (MLP) analysis method was applied to TMS data to identify predictability degree. TMS data were designated as independent variables, and each pollutant was considered as an independent variables. To verify the validity of the prediction, root mean square error analysis was conducted. TMS data from two public sewage treatment plants in Chungnam were used. The values of RMSE in SS, T-N, and COD predictions (excluding T-P) in treatment plant A showed an error range of 10%, and in the case of treatment plant B, all items showed an error exceeding 20%. If the total amount of data used MLP analysis increases, the predictability of MLP analysis is expected to increase further.