• Journal of agricultural medicine and community health
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• v.43 no.2
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• pp.97-107
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• 2018

Objectives: The purpose of this study was to examine the success and barrier factors of hypertension registration program in Goseong community health center proven improving hypertension treatment rate by community health survey. Methods: We conducted a qualitative research using both a performance review of the program and in-depth interviews with the 8 operators who had worked for this program in April 2018. Results: In this study, the success factors were analysed as follows: First, the willingness to improve health indicators, second, the implementation of large-scale projects, third, improving program processes, fourth, continuous efforts for achievement of goal, not output or reward, and the barrier factors are as follows. First, uniform output monitering, second, evaluation after the fashion of contest, third, the confusing concept of an integrated health promotion program, fourth, the attitude of the person worried with task change. Conclusions: This study suggested that the health community health center should follow the basic principles of public health, and the central government should introduce a health policy of decentralization.

• Journal of Internet Computing and Services
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• v.21 no.5
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• pp.1-7
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• 2020

Deep neural networks(DNN), which are used as approximation functions in reinforcement learning (RN), theoretically can be attributed to realistic results. In empirical benchmark works, time difference learning (TD) shows better results than Monte-Carlo learning (MC). However, among some previous works show that MC is better than TD when the reward is very rare or delayed. Also, another recent research shows when the information observed by the agent from the environment is partial on complex control works, it indicates that the MC prediction is superior to the TD-based methods. Most of these environments can be regarded as 5-step Q-learning or 20-step Q-learning, where the experiment continues without long roll-outs for alleviating reduce performance degradation. In other words, for networks with a noise, a representative network that is regardless of the controlled roll-outs, it is better to learn MC, which is robust to noisy rewards than TD, or almost identical to MC. These studies provide a break with that TD is better than MC. These recent research results show that the way combining MC and TD is better than the theoretical one. Therefore, in this study, based on the results shown in previous studies, we attempt to exploit a random balance with a mixture of TD and MC in RL without any complicated formulas by rewards used in those studies do. Compared to the DQN using the MC and TD random mixture and the well-known DQN using only the TD-based learning, we demonstrate that a well-performed TD learning are also granted special favor of the mixture of TD and MC through an experiments in OpenAI Gym.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.225-232
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• 2016

The purpose of this study is to analyze the effect of the glass ceiling induction factors on the improvement of the job Commitment on the glass ceiling perception and to analyze the effect of the organizational Commitment on the influence of the local medical institute and private medical institute employees. Purpose. As a research method, structural equation model analysis was carried out to investigate the influence relationship of each factor. In particular, multiple group analysis was performed to analyze the difference of influence relations between public and private medical personnel. Respectively. Result, First, empirical studies on the effect of the glass ceiling inducing factors on job Commitment showed that job Commitment was influenced by stereotype and organizational culture, and the magnitude of the influence was different. Second, the employees of the room medical center were influenced by perceived promotion, job placement, education and training, reward, and job satisfaction. Third, in the hypothesis that job Commitment will be affected by the perception of glass ceiling, only the workers of the private medical center showed significant results. Based on the results of this study, it will be necessary to plan policies to improve the perception of the glass ceiling phenomenon and improve its status in order to improve the personnel and system that women workers in the medical field can enter more senior management positions.

• Journal of Digital Convergence
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• v.9 no.4
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• pp.253-265
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• 2011

A number of organizations have had big interests in studies concerning leadership and not only academia but also psychological areas do also. Until now, leadership has been accentuated by managers or team leaders especially. Recently, however, the concept of self-leadership directing one's own activities through self-control or self-management is being focused on in practices and in academia. This study is to investigate the influence between self-leadership strategies as predictors and learning performance in IT classes as dependents variables mediated by attitude of attendance focused on the social science students in two universities (Korea(116 samples) and India(36 samples)). And this research tried to compare difference between two university students. As a result of empirical analysis, Korean learners making an effort by themselves show a tendency to think constructively. Namely, even though the level of difficulty may be high, by positive self-talk, respondents usually make an effort to get high academic performance. In case of Indian respondents, students who are in behavior-oriented show higher academic performance. Research results can give us direction of task-taking attitudes in firms or learning attitudes in teaching organizations and implications to human resource managers who are in charge of improving learning performance or productivity.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.365-375
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• 2017

This study is executed to investigate convergent factors to Job Satisfaction(JS) among Hospital Administrative Staff(HAS). The survey was administered to 221 staff from 11 general hospitals located in Jeonbuk area from Nov. 1st, 2016 to Jan. 31st, 2017. The structured self-administered questionaries were used. The hierarchical multiple regression analysis shows the following results. The JS of respondents turned out to be significantly higher in following groups: a group without work shift, a group with more employees, a group in which self efficacy is higher, a group in which skill variety in job characteristics is higher, a group in which interpersonal conflict and lack of reward in occupational stress are lower. The results show explanatory power of 61.0%. The results of the study indicate that the efforts, to increase self efficacy, and to manage job characteristics and occupational stress, are required to improve the JS among HAS. The results are expected to be useful for the program and human resource management to related to the JS among HAS. In the following study, the analysis of structural equation modeling about additional factors of the JS among HAS will be needed.

• KDI Journal of Economic Policy
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• v.36 no.2
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• pp.175-196
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• 2014

This paper is a theoretical attempt to analyze and understand Yeonjulmang and Yeongyeolmang, which are terms for social networks with negative and positive connotation respectively in Korean Sociology. To do that, we analyze a social network where unilateral help are reciprocated. A social network in this context is a network where the past behaviors of its members are transmitted. With the information how the members behaved before, a social norm can emerge in the network, which facilitate the indirect reciprocation of unilateral help. In this norm, an agent's helping now will be rewarded by his being helped in the future. Since the reward happens in the future, this norm may not be sustained even if it is efficient. To sustain the reciprocation of the help, a norm can evolve to punish the violation of the norm more severely. If the punishment becomes too severe, the reciprocation of the help can be sustained even if it is not efficient any more in that the cost of help exceeds the benefit. If we allow the exit of the network, members have incentive to do it as belonging to the network is not beneficial any more. Then the social network may collapse. To avoid the collapse of the network, the exclusive norm, which exclude even mutually beneficial relationship with outsiders, may emerge. This can explain the emergence of Yeonjulmang, or a closed network, which is inefficient in double senses; 1) it may sustain inefficient reciprocation of help, and 2) the mutually beneficial relationship is excluded between an insider and an outsider of the network.

• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.44-59
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• 2023

Purpose: In the event of mass casualties, triage must be done promptly and accurately so that as many patients as possible can be recovered and returned to the battlefield. However, medical personnel have received many tasks with less manpower, and the battlefield for classifying patients is too complex and uncertain. Therefore, we studied an artificial intelligence model that can assist and replace medical personnel on the battlefield. Method: The triage model is presented using reinforcement learning, a field of artificial intelligence. The learning of the model is conducted to find a policy that allows as many patients as possible to be treated, taking into account the condition of randomly set patients and the medical capability of the military hospital. Result: Whether the reinforcement learning model progressed well was confirmed through statistical graphs such as cumulative reward values. In addition, it was confirmed through the number of survivors whether the triage of the learned model was accurate. As a result of comparing the performance with the rule-based model, the reinforcement learning model was able to rescue 10% more patients than the rule-based model. Conclusion: Through this study, it was found that the triage model using reinforcement learning can be used as an alternative to assisting and replacing triage decision-making of medical personnel in the case of mass casualties.

• Korean Journal of Forensic Psychology
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• v.12 no.1
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• pp.35-51
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• 2021

People's belief in free will is important in determining the causes and responsibilities of human behavior. Over the past decades, there has been debate about belief in free will in the fields of neuroscience, philosophy, ethics, and criminal law. The Free Will and Determinism Scale (FAD-Plus; Paulhus & Carey, 2011) is a test tool that measures the components related to the belief in an individual's free will. This study conducted a confirmatory factor analysis of 1,000 ordinary people of various age groups and socio-economic backgrounds based on previous studies that conducted an exploratory factor analysis (Study 1). The author has secured the reliability and validity of a number of measures. Furthermore, it was examined how the sub-item of the FAD-Plus scale, 'belief in free will,' was related to correspondence bias and locus of control (Study 2). As a result of analyzing a total of 83 subjects, high belief in free will had a positive correlation with punishment judgment for negative behavior and internal attribution, but there was no significant relationship in reward judgment for positive behavior. Based on the study results, it was proven that the FAD-Plus is valid for the general public as well, and the relationship between belief in free will, attribution bias, locus of control and behavior judgment was examined. The limitations of this study, policy implications, and research directions are discussed.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.365-370
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• 2023

Royalty contributed to the development of the non-fungible token (NFT) ecosystem as a reward system that pays a portion of the sales to the creator whenever transactions occur. This study quantitatively analyzes the impact of the abolition of royalties, which is being expanded by some NFT marketplaces, on the NFT market, and qualitatively analyzes the results of the impact. The analysis results are as follows. First, the number of NFT mints is decreasing by causing creators to leave the NFT market and reducing new entry. Second, major NFT projects have refused to trade with marketplaces that have abolished royalties, leading to a decrease in the number of transactions. Third, the abolition of royalties has undermined the motivation of NFT creators to continue to develop their projects, leading to a drop in NFT floor prices. This study is expected to contribute to reducing the current negative impact in the short term by suggesting how the NFT community provides incentives to owners who voluntarily pay royalties independently of the policy of the NFT marketplace. In addition, it suggests that in the long run, fundamental solutions to the problem of abolishing royalties require improvements in technology related to royalty payments, cooperation between NFT marketplaces and NFT creators, and institutional support related to royalties.