• Journal of Korea Multimedia Society
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• v.13 no.1
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• pp.122-132
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• 2010

The analysis of ocean environment offers us essential information for ocean exploration. But ocean environment has a lot of environmental variables such as the movements of nodes by an ocean current, corrosion by salt water, attenuation of radio wave, occurrences of multi-path and difficulty of sensor nodes' deployment. It is accordingly difficult and complex to gather and process the environmental information through ocean data communication due to these constraints of ocean environment unlike the terrestrial wireless networks. To overcome these problems, we organized ocean communication network for monitoring underwater environment by real experiment in Gyeongpoho similar to ocean environment. Therefore, this paper aims at overcoming major obstacles in ocean environment, effectively deploying sensor nodes for ocean environment monitoring and defining an efficient structure suitable for communication environment by the implementation of ocean environment monitoring system in Gyeongpoho.

• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.7
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• pp.871-878
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• 2023

This paper showcases the study of 150 Coast Guard officers on how work environment compatibility impacts their organization and job attachment. The independent variable, work environment compatibility, is separated into three sub-variables, which are organization compatibility, job compatibility, and supervisor compatibility. The study's results show that job attachment is only influenced by job compatibility while organization attachment is influenced by all three; organization, supervisor, and job compatibility. With these results, we can make suggestions for the development of the Coast Guard organization and further research based on individual characteristics.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.3 no.4
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• pp.203-213
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• 1998

To investigate impacts of waste disposal on the marine environment for 9 years since dumping activity commenced in the Yellow Sea, chemical analysis of seawater has been done in and around the ocean dumping site. Results show that biogeochemical changes have occurred locally in the dumping area compared with the reference area, resulting in low dissolved oxygen saturation, low pH, and high accumulation of nutrients in the bottom layer. According to cluster analysis, chemical environment of the study area can be largely divided into surface layer and bottom layer, and again the bottom layer can be divided into that of dumping area where nutrients are accumulated and that of reference area. Low pH, low dissolved oxygen, high COD and accumulation of nutrients mainly characterize the dumping area. Average concentration of total inorganic nitrogen in the bottom layer below the thermocline has increased from $3.7{\mu}M$ to $9.5{\mu}M$, 250% accumulation in the dumping area since 1988. Therefore, the present results clearly show that the dumping site of Yellow Sea has received excessive sewage input beyond the environmental assimilatory capacity during the last decade. It may result in serious aggravation of seawater quality and basic ecosystem, and devastation of overall fishing grounds of Yellow Sea in the near future.

• Journal of the Korea institute for structural maintenance and inspection
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• v.28 no.5
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• pp.20-29
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• 2024

The chloride diffusion coefficient is a critical indicator for assessing the durability of concrete marine substructures. This study develops a prediction model for the chloride diffusion coefficient using data from concrete bridges located in marine exposure zones (atmospheric, splash, tidal), an aspect that has not been considered in previous studies. Chloride profile data obtained from these bridge substructures were utilized. After data preprocessing, machine learning models, including Random Forest (RF), Gradient Boosting Machine (GBM), and K-Nearest Neighbors (KNN), were optimized through hyperparameter tuning. The performance of these models was developed and compared under three different variable sets. The first model uses six variables: water-to-binder (W/B) ratio, cement type, coarse aggregate volume ratio, service life, strength, and exposure environment. The second model excludes the exposure environment, using only the remaining five variables. The third model relies on just three variables: service life, strength, and exposure environment factors that can be obtained from precision safety diagnostics. The results indicate that including the exposure environment significantly enhances model performance for predicting the chloride diffusion coefficient in concrete bridges in marine environments. Additionally, the three variable model demonstrates that effective predictions can be made using only data from precision safety diagnostics.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2010.10a
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• pp.31-33
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• 2010

ECDIS(Electronic Chart Display and Information System 전자해도정보시스템)와 같이 진보된 IT 기술을 적용한 항해장비는 단순히 항해의 목적으로 사용하는 것 이상으로, 해양환경의 보호와 감시에 응용하는 등의 방법으로 그 활용범위를 직접적이고 적극적으로 확대할 수 있다. 종이해도와 달리, ECDIS는 '시간'이라는 4차원적 요소를 도입함으로써 동적시스템(Dynamic System)으로 전환이 용이하다. 이것은 조석, 조류, 바람과 파도와 같은 시간변수(Time Variables) 데이터를 적용함으로써 가능하다. 이 시간변수들을 어군이동위치, 계절변화에 따른 해저지형, ballast water의 취수를 위한 청수지역 등과 함께 활용을 한다면, green ECDIS를 활용한 green navigation은 현실화가 가능하다. 이에 따라 해상종사자의 환경인식은 뚜렷하게 그리고 유용하게 증가할 것이다. 본 논문에서는 green ECDIS의 개념과 모형의 설계 그리고 프로토타입의 개발을 제안하고자 한다.

• Korean Journal of Environmental Biology
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• v.39 no.1
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• pp.88-99
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• 2021

In this study, a land-based marine closed mesocosm (LMCM) experiment was performed to objectively assess the initial stability of an artificial ecosystem experiment against biological and non-biological factors when evaluating ecosystem risk assessment. Changes in the CV (coefficient of value) amplitude were used as data to analyze the stability of the experimental system. The CV of the experimental variables in the LMCM groups (200, 400, 600, and 1,000 L) was maintained within the range of 20-30% for the abiotic variables in this study. However, the difference in CV amplitude in biological factors such as chlorophyll-a, phytoplankton, and zooplankton was high in the 600 L and 1,000 L LMCM groups. This result was interpreted as occurring due to the lack of control over biological variables at the beginning of the experiment. In addition, according to the ANOVA results, significant differences were found in biological contents such as COD (chemical oxygen demand), chlorophyll-a, phosphate, and zooplankton in the CV values between the LMCM groups(p<0.05). In this study, the stabilization of biological variables was necessary to to control and maintain the rate of changes in initial biological variables except for controllable water quality and nutrients. However, given the complexity of the eco-physiological activities of large-scale LMCMs and organisms in the experimental group, it was difficult to do. In conclusion, artificial ecosystem experiments as a scientific tool can distinguish biological and non-biological factors and compare and analyze clear endpoints. Therefore, it is deemed necessary to establish research objectives, select content that can maintain stability, and introduce standardized analysis techniques that can objectively interpret the experimental results.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.486-486
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• 2022

미세플라스틱은 해양, 육상, 담수 및 대기환경에서 광범위하게 검출되고 있고 미세플라스틱에 대한 사람들의 우려가 커지고 있다. 담수환경에서의 미세플라스틱의 이동, 분포, 축척에 대한 연구는 해양환경에 비해 한정적으로 이루어지며, 하천은 종종 내륙에서 해양으로 미세플라스틱을 운반하는 경로로만 고려된다. 추후의 미세플라스틱의 저감정책 수립이나 이행에 있어서 미세플라스틱의 거동파악은 우선적으로 이루어져야한다. 따라서 오염의 생성에 영향을 미치는 유역의 작용을 가장 잘 표현하고, 단순히 전체의 상태를 설명하기보다는 인과관계를 밝히는 데에는 모델이 적합하다. 기후, 표면 유출, 토양이나 영양물질을 비롯한 오염물질의 부하 등을 잘 표현하고 수체 내부에서의 수질까지 동시에 시뮬레이션 가능한 기존의 잘 개발된 유역 모델의 주요 변수들은 미세플라스틱의 하천에서의 거동을 모의할 수 있다. 그 예로서 본 연구에서 HSPF의 유사(Sediment) 컴포넌트를 수정하여, 유역모델을 활용한 미세플라스틱 거동 모의 가능성을 입증하려고 한다.

• Journal of the Korean Society of Marine Environment & Safety
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• v.19 no.1
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• pp.23-30
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• 2013

The fleet crew of Korea Coast Guard(KCG) have a wide range of roles to perform. It is already recognized that they carry dutie in inferior working conditions. Therefore, a research on leadership that concerns organizational effectiveness seemed necessary for them. This study examines whether transformational leadership style is appropriate in job satisfaction for the fleet crew of KCG. This study also proves the effect of a leadership style on job satisfaction by suggesting a hypothesis from preceding studies. In this study transformational leadership is fixed as independent variables and job satisfaction as dependent variables and six factors as demographic characteristics. It is found that Intellectual stimulation is the most influential factor, but individualized consideration is an uninfluential factor concerning job satisfaction.

• 한국신재생에너지학회:학술대회논문집
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• 2011.05a
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• pp.164.2-164.2
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• 2011

지구온난화에 따른 대체에너지 자원확보가 국가적으로 중요한 과제로 대두되고 있고 여러 대체에너지원 중 국내의 해양에너지는 잠재량이 매우 높다. 여러 해양에너지 중에서 빠른 흐름을 이용하는 조류발전은 서해안과 남해안에 적용하기에 적합하며 해양환경을 보존하면서 많은 에너지를 생산할 수 있는 장점이 있다. 조류발전에서 1차적으로 에너지를 변환시키는 로터는 주요한 장치중의 하나로 여러 변수에 의해 그 성능이 결정된다. 로터의 블레이드 수, 형상, 단면적, 허브, 직경 등 여러 요소를 고려하여 설계되어야 한다. 또한 조류발전을 적용하는 해양환경에서 최대 출력을 생산할 수 있는 로터가 적용될 수 있도록 블레이드의 후류 영향을 고려해야한다. 본 논문에서는 날개요소이론을 바탕으로 수평축 조류발전 터빈을 설계하여 실험 및 유동해석을 통해 성능을 평가하고, 후류에 미치는 영향을 분석하였다.

• Journal of Korea Port Economic Association
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• v.39 no.3
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• pp.155-178
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• 2023

The purpose of this study is to derive factors that affect the acceptance of digital transformation in ports and empirically analyze the impact of these factors on the acceptance of digital transformation through a survey of port workers. Additionally, we test whether acceptance attitude plays a mediating role in the relationship between these factors and digital transformation acceptance. The variables used in this study are as follows. First, knowledge, self-efficacy, and involvement were included as variables related to individual characteristics, relative advantages, complexity, observability were included as variables related to innovation characteristics, and government regulations and competitor pressure were included as variables relate to environmental characteristics, so that a total of eight latent variables were selected. The results of this study are summarized as follows. First, two variables among individual characteristics, self-efficacy and involvement, were able to confirm a positive(+) causal relationship with the attitude of accepting digital transformation, and knowledge initially expected a positive(+) causal relationship with the attitude of accepting digital transformation, but the result was a negative(-) causal relationship, so that the hypothesis was rejected. Second, among the characteristics of innovation, complexity has a negative(-) causal relationship with the attitude of accepting digital transformation, and relative advantages and technological innovation have a positive(+) causal relationship with the attitude of accepting digital transformation. Finally, among the environmental characteristics, government regulations and competitor pressure, confirmed a positive(+) causal relationship with the attitude of accepting digital transformation. In addition, it was found that the attitude of accepting digital transformation had a positive(+) causal relationship with personal acceptance and social acceptance of digital transformation.