• Journal of Digital Convergence
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• v.16 no.2
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• pp.73-82
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• 2018

The purpose of this study was to apply Keller's ARCS motivational model to the business culture lessons and to examine the effects on cultural knowledge, interest, awareness and attitude of university students. To accomplish this purpose, the teaching-learning method applying ARCS model for business culture was designed, aiming to improve all elements of learning motivation such as attention, relevance, confidence and satisfaction. The experiment was conducted with two groups as follows; one experimental group that received instruction using ARCS model and the other comparison group that received traditional lecture instruction. Both the instruction using the ARCS model and the traditional lecture instruction was effective in increasing knowledge of culture. The instruction using the ARCS model was verified to improve interest in culture, understanding of others from other cultures, motivation to create culture, perception of importance of culture, and perception of necessity of culture education. But the traditional lecture instruction did not show statistically meaningful effects on cultural interest, awareness and attitude.

• Safety and Health at Work
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• v.3 no.3
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• pp.181-191
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• 2012

Objectives: Small enterprises have higher exposure to occupational hazards compared to larger enterprises and further, they have fewer resources to control the risks. In order to improve the working environment, development of efficient measures is therefore a major challenge for regulators and other stakeholders. The aim of this paper is to develop a systematic model for the design of tailored intervention programmes meeting the needs of small enterprises. Methods: An important challenge for the design process is the transfer of knowledge from one context to another. The concept of realist analysis can provide insight into mechanisms by which intervention knowledge can be transferred from one context to another. We use this theoretical approach to develop a design model. Results: The model consist of five steps: 1) Defining occupational health and safety challenges of the target group, 2) selecting methods to improve the working environment, 3) developing theories about mechanisms which motivate the target group, 4) analysing the specific context of the target group for small enterprise programmes including owner-management role, social relations, and the perception of the working environment, and 5) designing the intervention based on the preceding steps. We demonstrate how the design model can be applied in practice by the development of an intervention programme for small enterprises in the construction industry. Conclusion: The model provides a useful tool for a systematic design process. The model makes it transparent for both researchers and practitioners as to how existing knowledge can be used in the design of new intervention programmes.

• Journal of Korea Water Resources Association
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• v.44 no.6
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• pp.439-447
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• 2011

This study aims to test the feasibility of combined use of EFDC (Environmental Fluid Dynamics Code) hydrodynamic model and WASP7.3 (Water Quality Analysis Program) model to improve accuracy of water quality predictions of the Yongdam Lake, Korea. The orthogonal curvilinear grid system was used for EFDC model to represent riverine shape of the study area. Relationship between volume, surface and elevation results were checked to verify if the grid system represents morphology of the lake properly. Monthly average boundary water quality conditions were estimated using the monthly monitored water quality data from Korean Ministry of Environment DB system. Monthly tributary flow rates were back-routed using dam discharge data and allocated in proportion to each basin area as direct measurements were not available. The optimum number of grid system was determined to be 372 horizontal cells and 10 vertical layers of the site for 1 year simulation of hydrodynamics and water quality out of iterative trials. Monthly observed BOD, TN, TP and Chl-a concentrations inside the lake were used for calibration of WASP7.3 model. This study shows that EFDC and WASP can be used in series successfully to improve accuracy in water quality modeling. However, it was observed that the amount of data to develop inflow water quality and flow rate boundary conditions and water quality data inside lake for calibration were not enough for accurate modeling. It is suggested that object-oriented data collection systems would be necessary to ensure accuracy of EFDC-WASP model application and thus for efficient lake water quality management strategy development.

• Journal of KIISE:Software and Applications
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• v.33 no.3
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• pp.267-276
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• 2006

IS 15504 and CMMI, etc are already proven models as a framework to improve the maturity of enterprise software development. However, these process maturity models can't present the detail and practical methods with which people can enhance the development competence and efficiency of an enterprise. Each company or organization should develop its own model or tailor the above models to make them suitable to its unique environment such as product or technology domain, scale of business or organization and cultural environment, etc for the practical application. This study introduces experiences that organizational and technical capability was reinforced based on our own process capability improvement model to improve software development strength in Samsung Electronics. We modeled our own improvement model which is expanded from IS 15504 against our experience. Our SPI model expanded its capability to organizational and technical issues including newly introduced capability level for evaluating its implementation. We expect that our study would give contribution for presenting industry experience and reference model for reinforcing software development competence.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.231-243
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• 2021

In Recent years the way we analyze the breast cancer has changed dramatically. Breast cancer is the most common and complex disease diagnosed among women. There are several subtypes of breast cancer and many options are there for the treatment. The most important is to educate the patients. As the research continues to expand, the understanding of the disease and its current treatments types, the researchers are constantly being updated with new researching techniques. Breast cancer survival rates have been increased with the use of new advanced treatments, largely due to the factors such as earlier detection, a new personalized approach to treatment and a better understanding of the disease. Many machine learning classification models have been adopted and modified to diagnose the breast cancer disease. In order to enhance the performance of classification model, our research proposes a model using A Hybrid Modified K-Means Clustering with Modified SVM (Support Vector Machine) Machine learning algorithm to create a new method which can highly improve the performance and prediction. The proposed Machine Learning model is to improve the performance of machine learning classifier. The Proposed Model rectifies the irregularity in the dataset and they can create a new high quality dataset with high accuracy performance and prediction. The recognized datasets Wisconsin Diagnostic Breast Cancer (WDBC) Dataset have been used to perform our research. Using the Wisconsin Diagnostic Breast Cancer (WDBC) Dataset, We have created our Model that can help to diagnose the patients and predict the probability of the breast cancer. A few machine learning classifiers will be explored in this research and compared with our Proposed Model "A Hybrid Modified K-Means with Modified SVM Machine Learning Algorithm to Enhance the Cancer Prediction" to implement and evaluated. Our research results show that our Proposed Model has a significant performance compared to other previous research and with high accuracy level of 99% which will enhance the Cancer Prediction.

• Journal of the Korea Convergence Society
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• v.13 no.4
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• pp.63-70
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• 2022

Due to the recent changes in the education market and Corona, Consumers have moved to the tutoring and online learning markets, and the large-scale education service franchise business is reorganized into a small-scale franchise, a business model that maximizes the profit structure from a position where sales are important. Recently, a new learning balance model that can provide individualized services from teacher-centered to student-centered, motivate students is required. In this paper, we propose a new mathematical franchise model (K-MODEL) that can improve a company's profit structure while satisfying the recent education trends and consumer needs from the point of view of the franchise. K-MODEL expects franchisor and franchisees to have a stable profit structure by developing differentiated content and services, learning and operating processes, and various programs to improve learning achievement.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.22 no.2
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• pp.169-179
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• 2015

Purpose: The purpose of this study was to improve the quality of fundamental nursing practice course. Methods: Participants were 132 students who took the fundamental nursing practice course at D university in N city. The study included processes of planning, action, observation, and reflection. Quantitative data were analyzed using SPSS 20.0 program and qualitative data were evaluated through content analysis. Results: The 12-step designing college courses model by Fink was applied in the planning. In the acting stage, the course was conducted according to the instruction in designing the course, students wrote reflective journals and the professor gave feedback to the reflective journal and the class observation journal was used for lessons. In the observation stage, the course evaluation was surveyed and analyzed, evaluations were positive with 47.1% of students positively evaluating the teaching strategy. In the reflecting stage, outcomes in course improvement were reflected on and, the number of students at the lower level-of-achievement decreased. Conclusion: Action research was a useful research method that could capture the quality improvement process in college courses. Expression of effort and passion to improve quality of education through action research in various ways and to share quality improvement strategies for nursing education are important.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.12
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• pp.3553-3558
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• 2009

This study has been conducted to improve coolant flow pattern in the gasoline engine. Flow field has been calculated for the coolant passage mainly around the exhaust ports and valves. For the original model, a flow stagnant region has existed between exhaust valves of the second cylinder. To improve coolant flow characteristics, coolant passage area has been re-modeled and optimized. Furthermore, for the improved coolant core model, coolant passage under the exhaust manifold has been added to reduce exhaust-gas temperature. It was found that the flow through a gasket plays a critical role for the flow in the cylinder head and around exhaust valves. Finally, coolant flow around exhaust valves and in the cylinder head has been improved in terms of flow rate distribution.

• Journal of Korean Society for Quality Management
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• v.47 no.4
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• pp.725-737
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• 2019

Purpose: We used a data analysis method to improve semiconductor manufacturing yield. We defined and optimized important factors and applied our findings to a real-world process. The semiconductor industry is very cost-competitive; our findings are useful. Methods: We collected data on 15 independent variables and one dependent variable (yield); we removed outliers and missing values. Using SPSS Modeler ver. 18.0, we analyzed the data both continuously and discretely and identified common factors. Results: We optimized two independent variables in terms of process conditions; yield improved. We used DS Leak software to model netting and Contact CD software to model meshes. DS Leak shows smaller the better characterisrics and Contact CD shows normal the best characteristics Conclusion: Various efforts have been made to improve semiconductor manufacturing yields, and many studies have created models or analyzed various characteristics. We not only defined important factors but also showed how to control processing to improve semiconductor yield.

• Journal of the Korean Solar Energy Society
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• v.29 no.5
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• pp.28-34
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• 2009

The atrium in the building has many advantages including its aesthetic and functional effect. But the upper part of the atrium has the thermal problem of overheating due to insolation through the window. But natural ventilation aided buoyancy effect can be a solution to make comfortable indoor environment. Proper design of openings is very important to improve thermal environment in the atrium. In this study, thermal evaluations were performed to improve thermal environment in the atrium. Indoor thermal environment of an atrium at Seoul was measured in the field and simulated with Computational Fluid Dynamics( CFD) code. The turbulent flow model adopted is $K-{\varepsilon}$ model. The results of computer simulations are compared with the measurements at the point in the atrium. In order to improve the indoor ventilation environment of the atrium, thermal environment evaluations of six alternatives were conducted. After evaluations of the results, the design guidelines of an atrium are suggested.