• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.207-212
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• 2020

We propose a empirically analyzed the relationship between organizational citizenship behavior, empowerment and job satisfaction of 546 office workers in general companies in Seoul city using SPSS 23.0 and AMOS 21.0. The results of this study were as follows: First, participatory behavior positively influenced self-determination in the relationship between empowerment and organizational citizenship behavior. Second, altruism had a positive effect on job satisfaction in the relationship between organizational citizenship behavior and job satisfaction. Third, looking at the aspect of direct and indirect effects on job satisfaction, it was noticeable that the altruism of organizational citizenship behavior had a higher direct effect, and that participatory behavior had a higher figure of the indirect effect. On the other hand, self-determination and influence/meaning, which are factors of empowerment, showed a higher figure than organizational citizenship behavior. Therefore, it is noticeable that empowerment is the most important factor in terms of affecting job satisfaction. that is, continuous monitoring of the effectiveness of the empowerment granted to members and improvement of the meaning and self-determination of the role at the workplace through training will increase the autonomy and it will contribute to the activation of the organization.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.4
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• pp.387-397
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• 2021

Most of Korea's agricultural water is supplied by reservoirs, so dependence on them is very high. Accordingly, it is important to reduce this dependence and provide a stable agricultural water supply by utilizing an applicable alternative water source. Therefore, in this work, scenarios for different land uses were constructed, and an optimal water supply plan using rainwater and reused sewage water - which are alternative water sources - was created. A study was also conducted to determine the optimal capacity of a rainwater facility. From the analysis, a stable water supply was achieved in the scenario of maximum utilization of rainwater by changing an existing paddy area to a greenhouse area, and about 0.82 ton of flow capacity was required for 1 mm of rainfall on farms utilizing rainwater. As a result of analyzing the optimal scenario to derive the ratio of the storage capacity per unit water collection area, the rainwater storage capacity determined through MODSIM and the storage capacity determined through actual monitoring showed similar results, about 31 and 32 %, respectively, and the optimal capacity of rainwater facilities was calculated to be about 5,796,000-6,182,400 ton.

• Journal of Wetlands Research
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• v.23 no.4
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• pp.372-380
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• 2021

Non-point source pollutants and high-concentration livestock wastewater are reported as major factor of water pollution in water system and wet-land. So, LID is suggested as a method to manage of them. wet-lands is presented as effective method for management of NPS from agriculture and livestock farm area based on various NPS reduction mechanism. In this research, the application of wet-lands was evaluated based on monitoring and modeling of agriculture and livestock farm in J city, Jeollabuk-do. As a resutl, EMC during rainfall event was found to be about 27 times higher than dry season based on a BOD. indicating that the management of non-point pollutants is urgent. Modeling-based wet-land reduction efficiency was BOD 57.5%, TN 48.9% and Tp 64.2%. However, removal efficiency of wet-land tends to decrease during the winter and large amounts of rainfall runoff occur, it is necessary to manage of wet-land. Based on the results of this research, wet-land could be proposed as an alternative to stable management of NPS in agriculture and livestock farm area.

• Korean Journal of Remote Sensing
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• v.37 no.5_2
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• pp.1307-1315
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• 2021

The Changjiang Diluted Water (CDW) spreads over the East China Sea every summer and significantly affects the sea surface salinity changes in the seas around Jeju Island and the southern coast of Korea peninsula. Sometimes its effect extends to the eastern coast of Korea peninsula through the Korea Strait. Specifically, the CDW has a significant impact on marine physics and ecology and causes damage to fisheries and aquaculture. However, due to the limited field surveys, continuous observation of the CDW in the East China Sea is practically difficult. Many studies have been conducted using satellite measurements to monitor CDW distribution in near-real time. In this study, an algorithm for estimating Sea Surface Salinity (SSS) in the East China Sea was developed using the Geostationary Ocean Color Imager (GOCI). The Multilayer Perceptron Neural Network (MPNN) method was employed for developing an algorithm, and Soil Moisture Active Passive (SMAP) SSS data was selected for the output. In the previous study, an algorithm for estimating SSS using GOCI was trained by 2016 observation data. By comparison, the train data period was extended from 2015 to 2020 to improve the algorithm performance. The validation results with the National Institute of Fisheries Science (NIFS) serial oceanographic observation data from 2011 to 2019 show 0.61 of coefficient of determination (R²) and 1.08 psu of Root Mean Square Errors (RMSE). This study was carried out to develop an algorithm for monitoring the surface salinity of the East China Sea using GOCI and is expected to contribute to the development of the algorithm for estimating SSS by using GOCI-II.

• Journal of the Korean Institute of Landscape Architecture
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• v.49 no.5
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• pp.138-150
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• 2021

This study aims to understand the background and characteristics of the UK's allotments, as the UK is one of the nations participating in allotment invigoration. This study will focus on approaches to policy, active governance, and socioeconomic impact. To address this, allotment-related issues, policies since the beginning of the 19th century were analysed. In addition to this, Sheffield City, UK, was selected as a specific case to analyse the framework of allotment management, active governance concerning allotment management, and the residents' perceptions of allotments through a questionnaire survey. It was found first that the UK government, since 1806, has been consistently producing localism policies aiming to devolve management authority into local governments, which actively obtain sites for allotments. Secondly, the structure of allotment management formed in active governance leads the overall maintenance, partnership, income generation, and monitoring of the allotments. Interestingly, the structure of the department organisation of local government in Sheffield established the position of community manager, who encourages community invigoration. However, a gap between socioeconomic aspects was found in which the allotment invigoration in lesser deprived areas outweighs the invigoration in more deprived areas. In contrast, according to the questionnaire survey, respondents in more deprived areas were more likely to be involved in allotment activities and the community. The key to addressing the socioeconomic gap in the context of allotment invigoration is the adoption of the Public-Community-Private-Partnership framework. This will be of great importance to longer-term promotion of beneficial allotment practices.

• Korean Journal of Environmental Biology
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• v.36 no.4
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• pp.638-646
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• 2018

The purpose of this study was to investigate the long-term habitat morphological alteration resulting from a large dam and weirs in the Tamjin River. To achieve this, we carried out a hydrograph analysis and a substrate size distribution analysis. We also estimated the channel width, bar area and vegetation encroachment using aerial photographs taken before and after the construction of the dam and weirs. The result of the hydrological analysis showed that flooding downstream was greatly reduced with small peaks occurrence after the dam construction. Interestingly, normal hydrographs in the main channel appeared just after tributary conjunction. There was a similar pattern in the substrate size analysis. Despite coarsened substrate just downstream of the dam site, more sand appeared again after introduction of the tributary. However, there was an increase in the bar area downstream of the dam's channels with most bars covered with vegetation. The channel width increased at the upper area of weirs through impoundment, but decreased downstream because of vegetation encroachment. This study indicate that unregulated tributary plays an important role in restoring hydro-physical habitat conditions in mainstream channels below a large dam. However, numerous weirs could be a causal factor to accelerate habitat deterioration in the dam downstream channels.

• Smart Media Journal
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• v.8 no.1
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• pp.74-81
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• 2019

Recently, machine learning technology has had a significant impact on society, particularly in the medical, manufacturing, marketing, finance, broadcasting, and agricultural aspects of human lives. In this paper, we study how to apply machine learning techniques to foods, which have the greatest influence on the human survival. In the field of Smart Farm, which integrates the Internet of Things (IoT) technology into agriculture, we focus on optimizing the crop growth environment by monitoring the growth environment in real time. KT Smart Farm Solution 2.0 has adopted machine learning to optimize temperature and humidity in the greenhouse. Most existing smart farm businesses mainly focus on controlling the growth environment and improving productivity. On the other hand, in this study, we are studying how to apply machine learning with respect to harvest time so that we will be able to harvest fruits of the highest quality and ship them at an excellent cost. In order to apply machine learning techniques to the field of smart farms, it is important to acquire abundant voluminous data. Therefore, to apply accurate machine learning technology, it is necessary to continuously collect large data. Therefore, the color, value, internal temperature, and moisture of greenhouse-grown fruits are collected and secured in real time using color, weight, and temperature/humidity sensors. The proposed FPSML provides an architecture that can be used repeatedly for a similar fruit crop. It allows for a more accurate harvest time as massive data is accumulated continuously.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.24 no.1
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• pp.79-91
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• 2019

Long-term trends and recent variations of upwelling index (UI), which affects significantly ecosystem in southwestern part of the East Sea, were investigated. The UI was calculated with the NCEP/NCAR reanalysis data from January 1948 to September 2018. The mean UI has positive value that causes upwelling in April to August with a peak in July. The long-term reducing trend of UI was in statistically significant in June and July, and the sum of UI in May, June and July also showed same result. Through the atmospheric pressure analysis around the Korean peninsula, it was found that the trend of the UI was the influence of the pressure change trend in the northwestern region ($35-50^{\circ}N$, $114-129^{\circ}E$) of the southwestern part of the East Sea. Investigating UI in recent 7 years from 2012 to 2018, it was revealed that the UI was bigger than 3 times of standard deviation in July 2013. This was result from the sea level pressure difference became larger in the southwestern part of the East Sea than normal year due to the lowered air pressure in the northeastern region of China and the strengthened high air pressure of western peripheral of the North Pacific High. On the other hand, the UI in July 2018 was negative when the impact of the North Pacific High and the low air pressure in the northeastern China was weak. Due to the decreasing trend of UI and its large year-to-year variation in southwestern part of the East Sea, continuous monitoring is necessary to know the influence of coastal upwelling on the ecosystem.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.2
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• pp.324-339
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• 2021

In this study, we determined the correlation between the wave characteristics and the change in the area of Haeundae Beach, conducted regression analysis between the wave characteristics and the change in beach area, and derived a formula for calculating the change in beach area. The change in beach area was calculated by applying the derived formula to wave observation data corresponding to a period of approximately 10 months, and the formula was subsequently validated by comparing the obtained results with the observed area. It is found that the error associated with the formula for calculating the change in beach area ranges from 1.5 m to 2.7 m based on the average beach width, and the correlation coefficient corresponding to the observed area ranges from 0.91 to 0.94. Furthermore, it is observed that the change in beach area is af ected by the wave direction in the western zone, wave height in the central zone, and wave height and wave period in the eastern zone. These results can contribute to understanding the impact of a coastal improvement project on the beach area fluctuation characteristics of Haeundae Beach and the ef ectiveness of such a coastal improvement project. By applying the aforementioned derived formula to highly accurate wave prediction data, the change in beach area can be calculated and incorporated for predicting significant long-term changes in beach areas. Furthermore, such a prediction can be considered as the basis for making decisions while establishing preemptive countermeasure policies to prevent coastal erosion.

• Journal of Korean Society of Health-System Pharmacists
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• v.35 no.4
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• pp.391-399
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• 2018

Background : The Antimicrobial Stewardship Program promotes interdisciplinary interventions and targeted recommendations for the proper utilization of antibiotics. In particular, the aim of the program is to avoid indiscriminate use of broad-spectrum antibiotics based on the documented literature on the significant impact of unsystematic usage of antibiotics on the distribution of antibiotic-resistant microorganisms. To improve the care process for pneumonia treatment using antimicrobial agents, institution-level guidelines were established and disseminated at the Seoul National University Bundang Hospital in April 2016. In this study, we evaluated changes in the physicians'antibiotic prescribing patterns both before-and after-the implementation of the guidelines. Methods : The electronic medical records of inpatients who were prescribed with one or more antibiotics in May 2014 (Group A) and May 2016 (Group B) were reviewed. Data on demographic characteristics, clinical outcomes, and antibiotic prescriptions were collected and the prescription records were compared both before- and after- the implementation of the guidelines. Results : A total of 180 patients were included in the study: 77 patients in group A and 103 patients in group B. The baseline characteristics of the patients were not significantly different between the two groups. Community-acquired pneumonia was the most common diagnosis in both the groups and the difference was not significant (68.8% vs. 67.9%; p=0.67). The type of antibiotic prescriptions used for empirical treatment was not different between the two groups. The most commonly prescribed empirical antibiotics were cephalosporins, with no significant difference (p=0.31). One of the most inappropriately used antibiotics was piperacillin/tazobactam and the rate of prescription was similar in both the groups (p=0.68). The rates of appropriate empirical selection of antibiotics remained unaltered between the two groups (67.5% vs. 71.8%; p=0.53). Conclusions : Implementation of the guidelines only exhibited no significant effect on the antibiotic prescribing patterns of physicians for the treatment of pneumonia. To improve the adequate use of empiric antibiotics, more active interventions and closer monitoring of the feedbacks should be additionally considered and evaluated in future studies.