• 간호행정학회지
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• 제12권2호
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• pp.204-212
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• 2006

Purpose: The aim of this study was to analyze the gap between the nurse's expectation and perception of internal marketing activities. Methods: The participants of this study were 521 nurses working in four general hospitals. The data were collected by self-reporting questionnaires. They were analyzed using descriptive statistics and paired-t test. Results: First, the mean of the nurse's expectation of internal marketing activities was 3.83, and perception was 2.54, showing a significant difference. Second, in all of the five subcategories of internal marketing activities, there were also statistically significant differences. Regarding the vacation system, the expectation score was highest, and support of academic education programs in education and training, payed-leaves during vacation, discounting of medical fees in employee welfare, distress management and two-way intercommunication, and allowances in reward were followed. Conclusion: These results will be used to develop focused internal marketing strategies to enhance the nurses' motivation.

• Journal of Information Processing Systems
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• 제11권4호
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• pp.616-629
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• 2015

A mobile terminal will expect a number of handoffs within its call duration. In the event of a mobile call, when a mobile node moves from one cell to another, it should connect to another access point within its range. In case there is a lack of support of its own network, it must changeover to another base station. In the event of moving on to another network, quality of service parameters need to be considered. In our study we have used the Markov decision process approach for a seamless handoff as it gives the optimum results for selecting a network when compared to other multiple attribute decision making processes. We have used the network cost function for selecting the network for handoff and the connection reward function, which is based on the values of the quality of service parameters. We have also examined the constant bit rate and transmission control protocol packet delivery ratio. We used the policy iteration algorithm for determining the optimal policy. Our enhanced handoff algorithm outperforms other previous multiple attribute decision making methods.

• 지식경영연구
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• 제6권2호
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• pp.149-168
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• 2005

Owing to the limits of IT System-driven knowledge management(KM) for innovation processes, alternative KM methods has been suggested such as: (1) the knowledge network of experts or (2) communities-of-practice. This study analyzes two cases in terms of on-line expert knowledge networks for problem-solving, with the dimensions of analysis based on a theoretical framework. By analyzing the cases of S company's expert network and Naver's Ji-sik-iN, we found that system quality(e.g., ease of use, accessibility, and searching function), information/knowledge quality(e.g., usefulness, accuracy, and timeliness), knowledge-sharing culture, social capital and relevant reward systems are important for stimulating a Q&A-based problem-solving knowledge network. Implications of the findings and future research directions are discussed.

• 대한설비공학회지:설비저널
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• 제13권1호
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• pp.5-13
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• 1984

This analysis of numerical procedure is prediction of laminar flow and heat transfer at two dimension and steady flow in asymmetric sudden expansion channel. At former study, to analyse the flows with separation, the full Navier-Stokes equation is used, but there are many difficulties to analyse, and although significant progress has been made in the development of efficient computational methods for the Navier-Stokes equations, very large computation times are still required. In case of reward-facing flow, boundary-layer equation is used instead of full Navier-Stokes equation to analyse velocity fields, and result of this numerical analysis is good agreement with the given experimental study. In this case, since the computer time required for the boundary-layer calculation is an order of magnitude less than required for the solution of the full Navier-Stokes equation, this boundary-layer model provides a good approximate solution.

• ETRI Journal
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• 제44권1호
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• pp.155-167
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• 2022

The Internet of Things (IoT) is a new paradigm that connects physical and virtual objects from various domains such as home automation, industrial processes, human health, and monitoring. IoT sensors receive information from their environment and forward it to their neighboring nodes. However, the large amounts of exchanged data are vulnerable to attacks that reduce the network performance. Most of the previous security methods for IoT have neglected the energy consumption of IoT, thereby affecting the performance and reducing the network lifetime. This paper presents a new multistep routing protocol based on cellular learning automata. The network lifetime is improved by a performance-based adaptive reward and fine parameters. Nodes can vote on the reliability of their neighbors, achieving network reliability and a reasonable level of security. Overall, the proposed method balances the security and reliability with the energy consumption of the network.

• 한국지역사회생활과학회지
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• 제14권1호
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• pp.13-35
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• 2003

This study aims at analyzing the leadership-types that have been affecting the social capital of community organization. The methods for this study are literatures review and survey to community organizations in Daegucity and Kyungpook. The questionnaires are sent to 426 leaders who are community organization leaders, 35.%(150) of the total returned questionnaire. The statistical methods used for the data were frequency, percentile, and regression. The major findings of this study are summarized as follows: 1)Direction for improving the social capital of community organization aspect of respondent's personal characteristic (1)female members' rate of community organization should be more high. (2)leader's age is to be over fifty, and educational background of high school is resonable. (3)the leader's religious is buddhism, the leaders of community organization should take the adult education program that related to leadership. 2)Resonable leadership-types to improve the social capital of community organization as follow; (1)reformative leadership is more important than trading leadership for affecting positively the social capital of community organization. (2)the authoritative leadership of reformative leadership-types is the most important than anyone else. (3)the condition-reward leadership of trading leadership types is affecting positively the social capital of community organization. And the authoritative leadership is needed for increasing the social capital of community organizations in Daegucity and Kyungpook.

• 한국응급구조학회지
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• 제25권3호
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• pp.163-178
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• 2021

Purpose: This study explored a plan for improving the overall preventive activity of Korean Citizen-Corps-Active-in-Disaster (CAIND). Methods: The study used the documentary survey and the technical approach methods. This way, detailed information regarding civil anti-disaster organizations was found in scholarly monographs, specialty publications, and master's/doctoral dissertations. It further utilized the statistical yearbooks between 2015 and 2018 from the Korean Ministry of Public Administration, Security, and Fire Service, and the National Statistical Office, to discover practical problems through a statistical analysis. Volunteer activities being inherent, related issues were reviewed at the same time to for purposes of clarifying the characteristics of disaster prevention activity by CAIND. Results: The study provided four major suggestions for improvement. First, the quota management system of Korean CAIND considering the characteristics of rural areas should be supplemented. Second, the education and training systems of Korean CAIND should be established to satisfy regional conditions. Third, management members' readership competency in operating organizations, including that of the Korean CAIND captain in charge, should be strengthened. Fourth, the reward system for Korean CAIND activities should be improved. Conclusion: In the future, the results of this study are expected to be utilized as a basic data to develop Korean CAIND.

• International journal of advanced smart convergence
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• 제11권2호
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• pp.194-204
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• 2022

This study is a one-group pretest-posttest design to evaluate the effect of problem-based learning (PBL) for patient safety on self-leadership, patient safety competencies, and reflective thinking of nursing students. The research was conducted from March 2 to April 15, 2022, in which 57 nursing students participated. PBL for patient safety was examined in a total of 8 sessions in the order of motivation, problem identification, task performance planning, problem-solving methods, summary and solution, presentation, and evaluation. The following topics of patient safety were selected for each team: nursing records, high-alert medication, medication error and intravenous fluid regulation, blood transfusion care, fall, bedsore, infection control, and pain management. We provided feedback on the learning process and outcomes of nursing students. According to the results, self-leadership showed a statistically significant improvement in self-expectations (t=2.60, p=0.01), goal setting (t=2.84, p<0.01), self-reward (t=3.32, p<0.01), and self-criticism (t=2.32, p=0.02). Patient safety competencies showed a statistically significant improvement in patient safety knowledge (t=13.05, p<0.001) and patient safety skills (t=4.87, p<0.001) but not in reflective thinking. The results prove that PBL for patient safety is an effective teaching-learning strategy to improve self-leadership and patient safety competencies. Future studies must develop and validate specific and long-term teaching-learning methods to improve reflective thinking.

• Asia pacific journal of information systems
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• 제32권2호
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• pp.226-248
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• 2022

The existing model for sentiment analysis of product reviews learned from past data and new data was labeled based on training. But new data was never used by the existing system for making a decision. The proposed Aspect-based multi-agent Deep Reinforcement learning Sentiment Analysis (ADRSA) model learned from its very first data without the help of any training dataset and labeled a sentence with aspect category and sentiment polarity. It keeps on learning from the new data and updates its knowledge for improving its intelligence. The decision of the proposed system changed over time based on the new data. So, the accuracy of the sentiment analysis using deep reinforcement learning was improved over supervised learning and unsupervised learning methods. Hence, the sentiments of premium customers on a particular site can be explored to other customers effectively. A dynamic environment with a strong knowledge base can help the system to remember the sentences and usage State Action Reward State Action (SARSA) algorithm with Bidirectional Encoder Representations from Transformers (BERT) model improved the performance of the proposed system in terms of accuracy when compared to the state of art methods.

• 대한치과기공학회지
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• 제46권3호
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• pp.114-125
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• 2024

Purpose: This study aimed to identify the social responsibility, self-leadership, and career-preparation behavior of fourth-year students graduating from the 4-year program of the department of dental technology and provide basic data for developing specific methods and related programs to help graduates adopt positive and active career preparation behavior. Methods: The final analysis was performed using 143 questionnaires from fourth-year students of the 4-year department of dental technology at Gyeonggi-do, Gangwon-do, and Busan Metropolitan City. T-tests, analysis of variance, correlation analysis, and linear regression analysis were performed in IBM SPSS Statistics ver. 21.0 (IBM). Results: A significant positive correlation was found (p<0.01) between social responsibility, self-leadership, and career preparation behavior factors, and the detailed factors of self-leadership that influence career preparation behavior, "attitude" (p<0.05), "natural reward strategies" (p<0.001), "behavior-focused strategies" (p<0.01), and "constructive thought pattern strategies" (p<0.01) demonstrated significant relationships. The explanatory power values of the models were 50.7% and 52.9%, respectively. Conclusion: This study concluded that to improve career preparation behaviour, social participation through various major volunteer activities is needed to ensure students feel professional responsibility and guide and encourage participation in various self-development programs during their time in university. In addition, universities and departments need to develop step-by-step and various career-preparation behavior programs for each year level.