• Journal of Korean Academy of Nursing
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• v.32 no.3
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• pp.327-335
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• 2002

The main purpose of this study was to compare the clinical competency in different instructio nal methods for funda- mentals of nursing practicum, standardized patients methods story as text method ,and traditional lecture/model method. Method: The study was designed as a quasi-experimental, nonequivalent control group post-test design with three separate classes of sophomore students attending fundamentals of nursing classes at one baccaleureate nursing school located in metropoli tan Seoul area. Control group was taught by traditiona lecture/ model method and two experimental groups were taught by standardized patients method and story as text method. Data were collected from September, 1999 to June 2001. There were 36 students in the standardized patient method group, 38 students in story as text group, and 40 students in the control group. Data analysis was done using SPSS WINDOW 9.0. Result: The results showed that the standardized patients method and story as text method groups were significantly better in clinical judgement and communication skills than the traditional lecture/model method group. The standardized patients method group was significantly better in clinical nursing skills performance than two other groups. However, there was no significant difference among the three groups in student satisfaction. Conclusion: The standardized patients method is an effective in teaching clinical cometency for student nurses. It is necessary to explore more efficient way to develop standardized patients cases for wider areas of nursing education. Also, it is recommended to develop more research projects with many nursing programs.

• Journal of KSNVE
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• v.10 no.3
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• pp.410-422
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• 2000

This paper proposes a model of standardized noise map in korea, The standardization of noise map is accomplished by standardizing the way of map description and by applying international noise mapping criteria to Korean environment. The proposed model can be an useful star or the production of national standardized noise map in Korea.

• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.18-26
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• 2023

The use of holographic standardized patient (HSP) with mixed reality can provide students with the opportunity to enhance clinical reasoning skills. This is still relatively new, so there is a lack of guidelines for educators. Thus, we aimed to develop the instructional model of HSP-based education, for enhancing clinical reasoning skills in undergraduate healthcare education, which could systematically guide educators in designing and implementing HSP-based teaching and learning activities appropriately. Using a design and development research, a theoretically constructed initial mode in this study was iteratively improved and underwent validation through expert review and model usability test. Features of the model were discussed, along with theoretical and practical implications and suggestions for further research.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.5
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• pp.289-296
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• 2022

In this paper, we developed a deep learning-based recyclable object detection model. The model is developed based on YOLOv5 that is a one-stage detector. The deep learning model detects and classifies the recyclable object into 7 categories: paper, carton, can, glass, pet, plastic, and vinyl. We propose two methods for recyclable object detection models to solve problems during training. Bounding Box CutMix solved the no-objects training images problem of Mosaic, a data augmentation used in YOLOv5. Standardized Distance-based IoU replaced DIoU using a normalization factor that is not affected by the center point distance of the bounding boxes. The recyclable object detection model showed a final mAP performance of 0.91978 with Bounding Box CutMix and 0.91149 with Standardized Distance-based IoU.

• Journal of Nutrition and Health
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• v.31 no.3
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• pp.354-362
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• 1998

The purposes of this study were to develop standardized indices of staffing needs in each school, foodservice system through work sampling methodology . Conventional school foodservices were classified into 5 groups depending on size of meals served. Commissary school foodservices were also classified into 5 groups by cluster analysis using number of meals served, number of satellite schools, and time for transportation of food. Work measurement through work sampling methodology was conducted in 15 conventional and 21 commissary foodservices during 3 consecutive days from September to October in 1995. Statistical data analysis was completed using the SAS programs for descriptive analysis, cluster analysis, and simple linear regression. The results were as follows : Average points of leveling factors of conventional and commissary foodservices were 1.066 and 1.061 , respectively. Mean labor hours per work force was 328 minutes and 366 minutes in conventional and commissary foodservice , respectively. Standardized work time was calculated using leveling factor, ILO allowance rate (175) , and observational work time. The model for standardized indices of staffing needs was developed based on simple linear regression in each school foodservice system. In conventional school foodservice systems(for 100-1,900 meals per day) standardized staffing needs=3.2497 +0.005267$\times$number of meals served (F=273.1, R-square 0.9750, p<0.001). In commissary school foodservice systems (for 200-1,600 meals per day ) Standardized staffing needs=3.393384 +0.0063$\times$number of meals served (F=30.78, R-square 0.6580, p<0.001).

• Korean Journal of Computational Design and Engineering
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• v.19 no.1
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• pp.80-90
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• 2014

In architecture projects, BIM library has widely been using for prefabrication of products and design process. However, since the shape of structures is different by each project in civil engineering projects and a shape representation system is complicated, it is not easy to develop a standardized BIM library. To solve these issues, this study develops BIM library based on standardized 2D shop drawings for civil structures. The standardized shop drawings, which are the targets of the BIM library model, should be first selected. Besides, in order to define modeling scope with the level of general and shop drawings for each structure, LOD(Level of Detail) and breakdown structure are determined, and development methods of families of 3D object type including 2D profile and rebar through commercial software are established. With these, properties of BIM library are configured, and a utilization model of the BIM libraries is constructed for 3D modeling and a simulation using the BIM library. Therefore, this study can identify properties that are necessary when IFC schema is configured for civil engineering projects. For future, it is expected that easiness of BIM design for the civil engineering projects and generation, management, and analysis system of BIM library for road projects will be secured.

• Journal of the Korean Data and Information Science Society
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• v.26 no.2
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• pp.505-516
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• 2015

We consider sparse high-dimensional linear regression models. Penalized regressions have been used as effective methods for variable selection and estimation in high-dimensional models. In penalized regressions, it is common practice to standardize variables before fitting a penalized model and then fit a penalized model with standardized variables. Finally, the estimated coefficients from a penalized model are recovered to the scale on original variables. However, these procedures produce a slightly different solution compared to the corresponding original penalized problem. In this paper, we investigate issues on the standardization of variables in penalized regressions and formulate the definition of the standardized penalized estimator. In addition, we compare the original penalized estimator with the standardized penalized estimator through simulation studies and real data analysis.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2005.04a
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• pp.680-687
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• 2005

This study presents a schema matching technique which can be applied to XML semantic model of structural calculation reports of steel-box bridges. The semantic model of structural calculation documents was developed by extracting the optimized common elements from the analyses of various existing structural calculation documents, and the standardized semantic model was schematized by using XML Schema. In addition, the similarity measure technique and the relaxation labeling technique were employed to develop the schema matching algorithm. The former takes into account the element categories and their features, and the latter considers the structural constraints in the semantic model. The standardized XML semantic model of steel-box bridge's structural calculation documents called target schema was compared with existing nonstandardized structural calculation documents called primitive schema by the developed schema matching algorithm Some application examples show the importance of the development of standardized target schema for structural calculation documents and the effectiveness and efficiency of schema matching technique in the examination of the degree of document standardization in structural calculation reports.

• Journal of Korean Society of societal Security
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• v.1 no.3
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• pp.83-91
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• 2008

Most construction information is being recorded in the form of electronic document. However, design documents generated in current practice are not suitable in share and exchange of information for disaster management. This study proposes how to develop th e XML Schema based semantic model of structural calculation document (SCD) for systematic storage and management of SCD information. in addition, 5 basic data types are developed for various expression forms appeared in the structural calculation documents. A prototype semantic model for steel bridge superstructure is developed based on the proposed method, and it is observed that the proposed method can be effectively used to build a standardized semantic model of SCD.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.31 no.4
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• pp.307-325
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• 1995

IN order to gain a fundamental data for forecast or control of fish behavior and evaluated the feasibility of an application of the modeling technique to a field, in this paper a numerical model for describing the behavior of fishes in a water tank was presented. The parameters of the model were estimated by using the time-series data on the three-dimensional position of fishes and by applying the least squares algorithm. The estimated parameters were standardized to examine the variation of parameters according to the number of individuals and flow speed that the mean values of parameters were to be zero and their variances were to be one. The results obtained can be summarized as follows: (1) The standardized parameter $a^*$of propulsive force decreased according to increased the number of individuals and the flow speed. (2) The standardized parameter ${k_b}^*$ of interactive force increased according to increased the number of individuals, but decreased according to the flow speed. (3) The standardized parameter ${k_c}^*$ of schooling force increased according to │increased the number of individuals and the flow speed. (4) The standardized parameter │${k_w}^{+*}$│ of repulsive force against wall or bottom increased according to increased the number of individuals, but decreased according to the flow speed. (5) The standardized parameter │${k_w}^{-*}$│ of attractive force against wall or bottom was generally constant according to increased the number of individuals, but increased according to the flow speed. (6) The standardized parameter $\upsilon$ super(*) of damping force increased according to increased the number of individuals, but decreased according to the flow speed.