• Journal of Korean geriatric psychiatry
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• v.21 no.1
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• pp.35-40
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• 2017

Objective : This study aimed to investigate the effect of community-based Goal-Achieving program in geriatric depressive symptoms preliminarily. Methods : We obtained data from elderly Korean subjects with major depressive disorder (n=51) aged 60 years or older at baseline, taking case management from community mental health center. Subjects were randomly assigned to intervention group (n=24) and control group (n=27). We investigated depressive symptoms through Short Form Geriatric Depression Scale-Korean version (SGDS-K) at baseline and every month for 3 months to all subjects. We tested interaction between group and time in SGDS-K score to evaluate the effect of program. And post hoc test examined between group differences of SGDS-K at each time points. Results : In quadratic linear mixed effects model analysis, interaction between group and time was statistically significant (Total SGDS-K score : coefficient=0.29, p<0.001 ; SGDS-K dysphoria subscale : 0.18, p<0.001 ; SGDS-K hopelessness subscale : 0.05, p=0.089 ; SGDS-K cognitive impairment subscale : 0.06, p=0.003). And significant between group difference was shown in post hoc test at time points of third month (SGDS-K score of control group : SGDS-K score of intervention group=$10.74{\pm}3.482$ : $7.25{\pm}4.475$, p=0.0184). Conclusion : These results may suggest that 'Community-based the Goal-Achieving program' has efficacy in reducing geriatric depressive symptoms.

• Korean Journal of Otorhinolaryngology-Head and Neck Surgery
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• v.60 no.5
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• pp.209-214
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• 2017

Background and Objectives Tinnitus retraining therapy (TRT) is one of the most effective treatment modalities of tinnitus based on the neurophysiological model proposed by Jastreboff and Hazell. This study was performed to evaluate the effect of counselor factor on treatment outcomes of TRT. Subjects and Method The total of 78 patients who had TRT from three different counselors in a tinnitus clinic of tertiary referral center from Jan 2015 to Dec 2015 were included in this study. Their medical records were retrospectively reviewed to evaluate the therapeutic response to TRT. Results Among 78 patients who were followed-up for more than 6 months, 47, 20, and 11 patients were treated by counselors A, B, C (all ENT specialists), respectively. Counselor A had 15-year-experience of TRT counseling, whereas counselor B and C were well trained but beginners of TRT counseling. Initial clinical characteristics including Tinnitus Handicap Inventory (THI) and tinnitus Visual Analogue Scale (VAS) scores of the patients among three groups were not significantly different. Treatment responses evaluated via THI and most of the tinnitus VAS scores after at least 6 months after TRT were significantly improved in all three groups (p<0.05) with no significant difference between the senior (A) and junior (B, C) group. Conclusion TRT seems to be an effective treatment modality of tinnitus even in this short term follow-up study. Treatment outcomes of TRT may not depend on the counselors once they are well trained and follow the same protocol.

• Journal of the Korea Society of Computer and Information
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• v.26 no.2
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• pp.213-220
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• 2021

With the continuing development of the global economy, the scale of international production and management of companies is expanding rapidly nowadays. As a result, it is increasingly important for multinational companies to establish appropriate marketing strategies for products in order to successfully enter overseas markets. When consumers evaluate the quality of products from various countries, they depend heavily on the image of the product as well as the price of the product. Therefore, this study aim to find out how the price, country image, brand image and country of origin image affect on consumer product evaluation and purchase intention. Based on these concepts, the significance of this study is helping local companies make more appropriate marketing strategies by understanding the importance of price and image of a product to companies and knowing more accurate recognition in Korea and Korean-made products of Chinese consumers. The results of this study which used AMOS model showed that 1) The country image and country of origin image for a product had a positive effects on product quality, 2) The price and country image of a product had a positive effects on service quality, 3) And evaluation of product had a positive effects on purchase intention. Based on these results, we made some proposals and presented the future research directions according to the limitations.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.248-258
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• 2021

The study analyzed the financial determinants of corporate R&D intensity that require more attention from academics and practitioners in the Korean capital market. Domestic small and medium enterprises (SMEs) may face with developing substitutes by making more R&D investments in scale and scope, given the unprecedented economic conditions such as the limitation of importing core components and materials from other nation(s). KOSDAQ-listed SMEs were selected as sample data, whose R&D expenditures may be less than those of large firms during the post-global financial turmoil period (2010~2018). Static panel data model was applied, along with Tobit and stepwise regression models, for examining the validity of results. Logit, probit, and complementary log-log regressions were also employed for a relative analysis. R&D expenditures in the prior year, the interaction effect between the previous R&D intensity and high-tech sector, firm size, and growth rate were significant to determine R&D intensity. Moreover, a majority of explanatory variables were found to change between the years 2011 and 2018, while time-lagged effects between the R&D intensity and growth rate exist. Results of the study are expected to be used for future research to detect optimal levels of R&D expenditures for the value maximization of SMEs.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.346-356
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• 2020

Purpose: This study was to identify the Health beliefs of the vulnerable group on the prevention of STI and to identify the factors that influence prevention behavior. Methods: The participants were 241 of persons vulnerable to STI. A total of 241 questionnaires were collected by mail or in person through relevant workplace, group members, and visitors to public health centers with structured questionnaires. The SPSS 21.0 program was used to perform descriptive statistics, t-test, one way ANOVA, Pearson's correlation and multiple regression. Results: As a result, the level of perceived susceptibility was 2.70, perceived severity was 3.63, perceived benefits of condom use was 3.82, Perceived barriers of condom use was 2.45, self-efficacy of condom use 3.93 and prevention behavior of STI was 3.51 based on 5-point Likert scale. Condom use self-efficacy(��=.23, p=.003), perceived barriers of condom use(��=-.15, p=.035), and level of education(��=.16, p=.018) were important factors influencing STI prevention behavior and the regression model explained 17% of STI prevention. In conclusion, it is necessary to develop a systematic education program in consideration of factors influencing and improving awareness to prevent STI.

• Convergence Security Journal
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• v.20 no.4
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• pp.187-196
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• 2020

In order to manage information security risk, various information security level evaluation and information security management system certification have been conducted on a larger scale than ever. However, there are continuous cases of infringement of information protection for companies with excellent information security evaluation and companies with excellent information security management system certification. The existing information security risk management methodology identifies and analyzes risks by identifying information assets inside the information system. Existing information security risk management methodology lacks a review of where cyber threats come from and whether security devices are properly operated for each route. In order to improve the current risk management plan, it is necessary to look at where cyber threats come from and improve the containment level for each inflow section to absolutely reduce unnecessary cyber threats. In addition, it is essential to measure and improve the appropriate configuration and operational level of security equipment that is currently overlooked in the risk management methodology. It is necessary to block and enter cyber threats as much as possible, and to detect and respond to cyber threats that inevitably pass through open niches and use security devices. Therefore, this paper proposes additional evaluation items for evaluating the containment level against cyber threats in the ISMS-P authentication items and vulnerability analysis and evaluation items for major information and communication infrastructures, and evaluates the level of security equipment configuration for each inflow.

• Journal of Wetlands Research
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• v.23 no.1
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• pp.27-34
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• 2021

In this study, the main influencing factors of the occurrence of cyanobacteria at each of the eight Multifunctional weirs were derived using a random forest, and a categorical prediction model based on a Algal bloom warning system was developed. As a result of examining the importance of variables in the random forest, it was found that the upstream points were directly affected by weir operation during the occurrence of cyanobacteria. This means that cyanobacteria can be managed through efficient security management. DO and E.C were indicated as major influencers in midstream. The midstream section is a section where large-scale industrial complexes such as Gumi and Gimcheon are concentrated as well as the emissions of basic environmental facilities have a great influence. During the period of heatwave and drought, E.C increases along with the discharge of environmental facilities discharged from the basin, which promotes the outbreak of cyanobacteria. Those monitoring sites located in the middle and lower streams are areas that are most affected by heat waves and droughts, and therefore require preemptive management in preparation for the outbreak of cyanobacteria caused by drought in summer. Through this study, the characteristics of cyanobacteria at each point were analyzed. It can provide basic data for policy decision-making for customized cyanobacteria management.

• The Journal of the Korea Contents Association
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• v.21 no.8
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• pp.356-366
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• 2021

The high-tech industry, a leader in the national economy, has a larger investment cost compared to general buildings, a shorter construction period, and requires continuous investment. Therefore, accurate construction cost prediction and quick decision-making are important factors for efficient cost and process management. Overseas, the construction information classification system has been standardized since 1980 and has been continuously developed, improving construction productivity by systematically collecting and utilizing project life cycle information. At domestic construction sites, attempts have been made to standardize the classification system of construction information, but it is difficult to achieve continuous standardization and systematization due to the absence of a standardization body and differences in cost and process management methods for each construction company. Particular, in the case of the high-tech industry, the standardization and systematization level of the construction information classification system for high-tech facility construction is very low due to problems such as large scale, numerous types of work, complex construction and security. Therefore, the purpose of this study is to construct a construction information classification system suitable for high-tech facility construction through collection, classification, and analysis of related project data constructed in Korea. Based on the WBS (Work Breakdown Structure) and CBS (Cost Breakdown Structure) classified and analyzed through this study, a code system through hierarchical classification was proposed, and the cost model of buildings by linking WBS and CBS was three-dimensionalized and the utilized method was presented. Through this, an information classification system based on inter-relationships can be developed beyond the one-way tree structure, which is a general construction information classification system, and effects such as shortening of construction period and cost reduction will be maximized.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.385-393
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• 2022

This study conducted a survey of social welfare facility workers in Mokpo, Jeollanam-do from May 21 to May 24, 2019 to empirically analyze the effect of job rotation on work efficiency and job satisfaction. Individual development of job rotaion (independent variable), job satisfaction (dependent variable), work efficiency (mediating variable), and work overload (moderating variable) were set as variables of the research model. For the questions of all variables, the Likert 5-point scale was used, the SPSS version 24.0 was used as an empirical analysis tool to verify the hypothesis, descriptive statistics and reliability analysis were performed, and the mediating effect and moderating effect were analyzed using SPSS PROCESS macro 4.0. The results of this study are as follows. First, it was analyzed that the individual development of job rotation did not significantly affect job satisfaction. Second, it was found that work efficiency fully mediated the relationship between individual development of job rotation and job satisfaction. Finally, it was found that the interaction term between work efficiency and job overload had a negative effect on job satisfaction and had a moderated mediating effect.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.4
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• pp.193-198
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• 2021

Recently, interests in the 4th industry have increased the level of demand for pest control by farmers in the field of rice farming, and the interests and use of agricultural pest control drones. Therefore, the diversification of agricultural control drones that spray high-concentration pesticides and the increase of agricultural exterminators due to the acquisition of national drone certifications are rapidly developing the agricultural sector in the drone industry. In addition, as detailed projects, an effective platform is required to construct large-scale big data due to pesticide management, exterminator management, precise spraying, pest control work volume classification, settlement, soil management, prediction and monitoring of damages by pests, etc. and to process the data. However, studies in South Korea and other countries on development of models and programs to integrate and process the big data such as data analysis algorithms, image analysis algorithms, growth management algorithms, AI algorithms, etc. are insufficient. This paper proposed an online drone pest control management information platform to meet the needs of managers and farmers in the agricultural field and to realize precise AI pest control based on the agricultural drone pest control processor using drones and presented foundation for development of a comprehensive management system through empirical experiments.