• Journal of Distribution Science
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• v.20 no.4
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• pp.33-50
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• 2022

Purpose: This pilot study aims to conceptualize a new green marketing mix for retail consumers based on Stimulus-Organism-Response (SOR) model. Moreover, it also aims to conceptualize a testable research model of new green marketing mix with consumers' green purchasing behavior, and to validate the measurement model with traditional as well as modern suggested validating techniques. Research design, data and methodology: A pilot test data from 75 respondents of retail buyers of energy-efficient electric appliances in Pakistan were tested for the confirmatory factor analysis (CFA) by examining a measurement model of the construct through different validation techniques (like Composite Reliability, McDonald's Omega (ω), rho (ρA), HTMT, etc.) as heretofore these scales were not validated through these modern methods. Results: The results revealed that the instrument has a certain degree of reliability and validity through different validating techniques. All the measurement items reach the suggested threshold values. Conclusions: Therefore, this study conceptualized an integrated framework of all the three stakeholders of the environment (government, companies, and public or consumers) to achieve environmental sustainability. Hence, future studies can extend these findings and conduct a full-scale study to establish an empirical relationship between the 5G's of green marketing for retailing businesses and consumers' green purchase behavior.

• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.87-106
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• 2024

Vehicle-to-Home (V2H) and Home Centralized Photovoltaic (HCPV) systems can address various energy storage issues and enhance demand response programs. Renewable energy, such as solar energy and wind turbines, address the energy gap. However, no energy management system is currently available to regulate the uncertainty of renewable energy sources, electric vehicles, and appliance consumption within a smart microgrid. Therefore, this study investigated the impact of solar photovoltaic (PV) panels, electric vehicles, and Micro-Grid (MG) storage on maximum solar radiation hours. Several Deep Learning (DL) algorithms were applied to account for the uncertainty. Moreover, a Reinforcement Learning HCPV (RL-HCPV) algorithm was created for efficient real-time energy scheduling decisions. The proposed algorithm managed the energy demand between PV solar energy generation and vehicle energy storage. RL-HCPV was modeled according to several constraints to meet household electricity demands in sunny and cloudy weather. Simulations demonstrated how the proposed RL-HCPV system could efficiently handle the demand response and how V2H can help to smooth the appliance load profile and reduce power consumption costs with sustainable power generation. The results demonstrated the advantages of utilizing RL and V2H as potential storage technology for smart buildings.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.39 no.6
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• pp.505-511
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• 2015

Solid oxide fuel cell operate at high temperature ($800{\sim}1000^{\circ}C$). High temperature have an advantage of system efficiency, but a weak durability. In this study, linear state space controller is designed to handle the temperature of solid oxide fuel cell system for proper thermal management. System model is developed under simulink environment with Thermolib$^{(R)}$. Since the thermally optimal system integration improves efficiency, very complicated thermal integration approach is selected for system integration. It shows that temperature response of fuel cell stack and catalytic burner are operated at severe non-linearity. To control non-linear temperature response of SOFC system, gain scheduled linear quadratic regulator is designed. Results shows that the temperature response of stack and catalytic burner follows the command over whole ranges of operations.

• The Journal of the Korea Contents Association
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• v.18 no.7
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• pp.484-494
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• 2018

Middle East Respiratory Syndrome (MERS), which occurred in the Middle East in 2015, is the most acute respiratory infectious disease in Korea. The limitations of the government's ability to respond to the spread of MERS and the inadequate communication of the government to the public have reduced the public's confidence in the government's infectious disease management policy. And it became an opportunity to raise awareness that infectious diseases could easily break down the national anti-virus system. Therefore, this study investigated the emergency response system of the infectious disease in the United States and sought to improve the infection control system in Korea. In order to achieve the purpose of the study, we analyzed the government's response to the MERS in 2015, analyzed the organization structure and role of the US CDC, and IMS.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.255-260
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• 2021

The collaboration that seeks to complement each other by judging and sharing the comparative advantages between companies is currently being actively progressed as a new and unusual collaboration that is not routine among not only the same industry but also different industries. This trend is increasing consumer interest based on enjoyment and fun. However, these collaborations cannot consistently lead to positive effects, and rather, if all companies collaborate, it could have an adverse effect. The current study explored the consumer's response to the attitude toward product and purchase intention of collaboration through consumption value and brand trust based on the consumer's understanding, assuming that the consumer's response cannot always be positive. As a result, brand trust played a mediating role in the intention to purchase and attitude toward product. This study examines the relationship between consumption value and collaboration products between brands, and from the perspective of a company, it can provide practical implications for establishing brand management and strategy through a unique collaboration strategy based on the understanding of consumers.

• Journal of The Korean Society of Agricultural Engineers
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• v.61 no.4
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• pp.75-86
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• 2019

Recently, natural disasters due to abnormal climates are frequently outbreaking, and there is rapid increase of damage to aged agricultural infrastructure. As agricultural infrastructure facilities are in contact with water throughout the year and the number of them is significant, it is important to build a maintenance management system. Especially, the current maintenance management system of pumping and drainage stations among the agricultural facilities has the limit of lack of objectivity and management personnel. The purpose of this study is to develop a performance evaluation model using the factors related to performance degradation of pumping and drainage facilities and to predict the performance of the facilities in response to climate change. In this study, we focused on the pumping and drainage stations belonging to each climatic zone separated by the Korea geographical climatic classification system. The performance evaluation model was developed using three different statistical models of POLS, RE, and LASSO. As the result of analysis of statistical models, LASSO was selected for the performance evaluation model as it solved the multicollinearity problem between variables, and showed the smallest MSE. To predict the performance degradation due to climate change, the climate change response variables were classified into three categories: climate exposure, sensitivity, and adaptive capacity. The performance degradation prediction was performed at each facility using the developed performance evaluation model and the climate change response variables.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.229-237
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• 2021

The purpose of this study is to verify the effects of Simulation-based Chest Tube Drainage Management Nursing Education on the Nursing Students' Response to Scenario Experiences, Confidence in Learning, and Problem Solving Abilities. This study was performed with a one-group pretest-posttest design, and a total of 133 junior nursing students have participated in the research (31 teams of simulation-based education). According to the results of the study, most of the students have shown a positive response to the scenario experience after the simulation training, while their confidence in learning and problem-solving skills have improved significantly. This proves that simulation-based training using simulators can be very effective in practical nursing training. It is expected that this research could make a meaningful contribution to improving the overall quality of field-oriented practical training and clinical practice.

• International conference on construction engineering and project management
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• 2020.12a
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• pp.257-264
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• 2020

Objective: To investigate test-retest reliability and responsiveness of Equivital Lifemonitor and photoplethysmography based wristwatch tools in assessing physiological parameters during a simulated fatigue task. Methods: Ten university students (Mean age, 30.6 ± 1.7 years) participated in this pilot study. Participants were asked to perform a 30-minute of a simulated fatigue task in an experimental setup in a lab. The physiological parameters (e.g., heart rate, heart rate variability, respiratory rate, electrodermal activity, and skin temperature) were measured at baseline and immediately after the fatigue task. An intraclass correlation coefficient (ICC2,1) was used to evaluate the test-retest reliability of each tool in assessing physiological measures. In addition, the responsiveness of each tool to measure changes from baseline to posttest was calculated using a standardized response mean. Results: The Equivital Lifemonitor has shown good to excellent test-retest reliability for the assessment of heart rate (ICC, 0.97), heart rate variability (ICC, 0.86), respiratory rate (ICC, 0.77), and local skin temperature (ICC, 0.76). However, photoplethysmography based wristwatch showed moderate to good test-retest reliability for the assessment of heart rate (ICC, 0.71), heart rate variability (ICC, 0.73), electrodermal activity (ICC, 0.80), and skin temperature (ICC, 0.72). A large standardized response mean (>0.8) indicates that both tools can capture the changes in heart rate, heart rate variability, respiratory rate, skin temperature, and electrodermal activity after a 30-minute of fatigue task. Conclusions: The Equivital Lifemonitor and photoplethysmography based wristwatch devices are reliable in measuring physiological parameters after the fatigue task. Additionally, both devices can capture the fatigue response after a simulated construction task. Future field studies with a larger sample should investigate the sensitivity and validity of these tools in measuring physiological parameters for fatigue assessment at construction sites.

• Journal of the Korean Society of Costume
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• v.66 no.5
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• pp.1-15
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• 2016

Within globalization of fashion business Korean culture is affecting fashion business. Although Korean culture is creating new content and economic value presently, the research on Korean fashion culture has been limited. Therefore, this study has identified attributes influencing cognitive, affective response as well as consumer preference and purchase towards contemporary Korean culture clothing. This study aims to do the following: (1) examine the effect of the identified contemporary cultural apparel product attributes on cognitive, affective response (2) Analyze the effect of cognitive, affective response on preference and purchase intention (3) Determine the relationship between preference and purchase intention. This study result defines the importance of studying contemporary cultural apparel product attributes for better fashion marketing business in the fashion and cultural field to attract consumers.

• Journal of Korean Academy of Nursing
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• v.36 no.5
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• pp.751-760
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• 2006

Purpose: This study was to evaluate the effects of a comprehensive life style modification program on glycemic control and stress response in type 2 diabetes. Method: The participants(n=34) with type 2 diabetes were divided into either a usual care(control) or treatment(experimental) group. The experimental group(n=21) received a program that was based on a comprehensive life style modification protocol at a weekly meeting for 16 weeks. They also participated in individually prescribed exercise and diet along with stress management and self monitoring. The participants were followed for 6 months, during which postprandial glucose, HbA$_{1C]$, and stress response inventory were measured. Result: The experimental group showed a significant lower postprandial glucose and stress response compared to those of the control group. However, there was no significant change in the HbA$_{1C]$ value in either group. Conclusions: These results suggest that a type 2 diabetes comprehensive lifestyle modification program may lead to clinical improvement in glycemic control and reduce the stress response.