• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.217-217
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• 2019

해안과 하천이 위치해 있는 낙동강하구의 담 염수 경계면 추적 연구에서 담 염수 경계면의 담수기원특성을 분석하기 위해서는 담 염수 경계면을 이루는 담수의 기원이 하천 혹은 지하수 인지를 규명하는 것이 매우 중요하다. 담 염수 경계면에 있는 담수는 일반적으로 하천과 지하수에 의한 것으로, 낙동강하구 일원을 대상으로 지하수공 내 해수침투 여부 파악을 위해 화학적(유기물) 분석을 실시하였다. 이와 아울러 낙동강하구 일원에서 담 염수 경계면에서 채취한 수질시료의 담수기원을 분석하기 위하여 K-water연구원 수질안전센터에 지하수공 7개지점(BH-1~7호공)의 심도별 물시료 2~4개지점(총 23개 지점), 하천(1개 지점), 해수 및 해안유출수(각 1개 지점)를 포함한 26개 시료를 LC-OCD(Liquid Chromatography-Organic Carbon Detector)로 분석하였다. LC-OCD 분석결과 특성은 기본적으로 유기물질이 물에서 유래한 aquagenic 혹은 토양층에서 유래한 pedogenic 유기물질 인지에 달려있다. 댐 또는 하천에서 pedogenic 유기물의 농도는 일반적으로 유역분지의 수문 또는 수리지질학적 경로에 의존한다. pedogenic 유기물들은 주로 상대적으로 작은 분자량을 갖는 친수성, 높은 사슬밀도 및 내화성 분자특성을 갖는 펄빅산으로 구성된다. aquagenic 유기물질은 수생 식물성 생물이나 플랑크톤의 분해 산물로서 세포벽에서 유래된 peptidoglycans와 고분자량의 polysaccharides 등을 포함한다(Chio & Jung, 2008; Buffle, 1988). 담 염수 경계면 추적을 위한 7개 관측공의 심도별 수질시료는 하천, 해수, 그리고 해안유출수의 용존유기탄소를 분석하기 위하여 LC-OCD로 정밀분석하였다. 그 결과, humic, 휴믹물질의 산화물질인 building blocks, 생물고분자 물질(bio-polymers), neutrals, acids로 분석되었으며, 일반적인 자연유기물질의 기원은 pedogenic과 aquagenic 유기물질로 분류된다. IHSS 표준물질 분석 등을 통한 SUVA 값으로부터 자연유기물질의 기원정보를 제공하는 HS-Diagram으로 도시한 결과, 2018년 11월 2일 조사한 26개의 원수시료 전체는 pedogenic fulvic acid〉aquagenic fulvic acid으로 하천의 기원이 우세한 것으로 분석되었다. BH-1호공과 BH-6호공의 특정 1개구간 GL.-6m를 제외한 모든 구간에서 aquagenic FA의 지하수 기원으로 분석되었으며, 나머지 지하수공(BH-2, 3, 4, 5, 7)과 하천 및 해안유출수는 유역분지 수문학적 경로인 pedogenic FA의 하천 기원의 담수인 것으로 분석된다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.271-276
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• 2009

An local area weather condition monitoring system to minimize many disasters from the sudden change of weather condition in local and mountain area is proposed. Firstly, the comparison of present state of the related monitoring systems and the possibility of realization with some merits are investigated. Moreover, this paper present direction of local area weather condition monitoring system based on integration of wireless sensor network and CDMA network following some case study. Through the efficient integration of both networks, the measured weather condition data from sensors can be transmitted to the server or mobile to monitor with high reliability. The proposed monitoring system will guide new type of project in wireless sensor network and support alarm service of the sudden change of weather condition to mobile user from central official regulations.

• Journal of Adhesion and Interface
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• v.22 no.4
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• pp.136-143
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• 2021

Polyurea has been investigated as a polymer matrix for composite materials because of its high mechanical strength. Although polyurea has a similar chemical structure to polyurethane, it has much higher strength and durability. In this study, the fabrication of polyurea composites reinforced with carbon nanotube (CNT) and graphene oxide (GO) is demonstrated to enhance the tensile strength of the glass fibers composite. Using FTIR and Raman spectroscopies, the chemical structures of polyurea, CNT, and GO are investigated. As a result, spectroscopy analysis reveals that the chemical structure of CNT, GO, and polyurea is maintained during the fabrication of the composite structure. Scanning electron microscopy reveals the uniform distribution of CNT and GO across the polyurea matrix. The reinforcement of 1 wt% CNT in polyurea enhances the tensile strength of CNT/polyurea composites. In contrast, the reinforcement of GO in polyurea induces the degradation of the tensile strength of GO/polyurea composites.

• Journal of the Korea Society of Computer and Information
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• v.26 no.11
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• pp.237-245
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• 2021

In this study, using data completed in the 11th year of the Panel Study on Korean Children, discourse management, situational adjustment and application ability, communication intention, and non-verbal communication were investigated by the child pragmatic language checklist tool in the field of cognitive and language development. It is to find a significant influence by analyzing the relationship between the factors of the observed variables on the latent variables of communication. The subject of this study is 4th grade elementary school students in 1,392 households, excluding 36 non-respondents to the language development question, out of 2150 households in the 11th year of the Panel Study on Korean Children(2018) data, 1428 households excluding 722 households who did not participate in the survey. As a result of the study, it was found that the total effect, direct effect, and indirect effect among the three latent variables except for communication intention were all significant in the effect analysis of the research model. Specifically, not only did nonverbal communication have a direct effect on discourse management ability, but also the indirect influence mediated by situational control and application ability was significant in the relationship between nonverbal communication and discourse management ability. As a result, it was found that the higher the non-verbal communication and situational adjustment and adaptation ability, the higher the discourse management ability.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.523-531
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• 2018

The purpose of this paper is to derive priorities and implications for the organic resource conservation policy in the livestock sector. We conducted a survey on the importance-performance of the organic waste resource reclamation of livestock sector using a 5-point Likert scale. The importance average for the resource recycling of livestock organic waste was 3.63 and the average of performance was 3.04. As a result of the IPA on livestock manure recycling measures, it is necessary to improve feed quality, establish a local recycling system, increase demand for compost and liquid, enhance customer linkages, and develop cost reduction technologies. It requires intensive support for promoting the spread of odor reduction technologies and integrated management of biomass. It is necessary to introduce mid- and long-term measures such as the revival of feed in tariff, promote by-product feeding, establish solid fuel process management standards, create hygiene safety standards, develop eco-beads and promotion of feed conversion. It is required to strengthen support for the development of odor reduction technologies and prepare consultative organizations among related departments, develop eco-friendly solid fuel technology, and support policies for renewable energy certification.

• Journal of Internet of Things and Convergence
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• v.6 no.4
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• pp.7-14
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• 2020

This study analyzed the effect of the number of deaths of circulatory system diseases according to 12-day short-term exposure of carbon monoxide from January 2010 to December 2018, and predicted the future treatment cost of circulatory system diseases according to increased carbon monoxide concentration. Data were extracted from Air Korea of Korea Environment Corporation and Korea Statistical Office, and analyzed using Poisson regression analysis and ARIMA intervention model. For statistical processing, SPSS Ver. 21.0 program was used. The results of the study are as follows. First, as a result of analyzing the relationship between the impact of short-term carbon monoxide exposure on death of circulatory system diseases from the day to the previous 11 days, it was found that the previous 11 days had the highest impact. Second, with the increase in carbon monoxide concentration, the future circulatory system disease treatment cost was estimated at 10,123 billion won in 2019, higher than the observed value of 9,443 billion won at the end of December 2018. In addition, when summarized by month, it can be seen that the cost of treatment for circulatory diseases increases from January to December, reflecting seasonal fluctuations. Through such research, the future for a healthy life for all citizens can be realized by distributing various devices and equipment utilizing IoT to preemptively respond to the increase in air pollutants such as carbon monoxide.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.197-206
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• 2021

There is growing interest in the function and role of public research institutes as "entrepreneurial actors" that can contribute to industrial development by commercializing excellent research outputs. On the other hand, their performance in the commercialization phase is insufficient because of the insufficient technological technology readiness level or repeatability. This study conducted probit model analysis to examine the effect of the technology readiness level and commercialization activities on the success of technology commercialization. The results showed that the possibility of success in technology commercialization increased with increasing TRL at the time of acquisition. In addition, the difference between the TRL at the time of acquisition and the current TRL (TRL Gap) does not affect technology commercialization on its own. It generates additional effects in conjunction with the TRL at the time of acquisition. Finally, the results show that technology commercialization is most likely to succeed if technology with a TRL 4-6 level is improved to TRL 9 level through a marginal effect estimation.

• Journal of Korea Water Resources Association
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• v.55 no.2
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• pp.121-133
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• 2022

The drought resulting from insufficient rainfall compared to the amount in an ordinary year can significantly impact a broad area at the same time. Another feature of this disaster is hard to recognize its onset and disappearance. Therefore, a reliable and fast way of predicting both the suffering area and the amount of water shortage from the upcoming drought is a key issue to develop a countermeasure of the disaster. However, the available drought scenarios are about 50 events that have been observed in the past. Due to the limited number of events, it is difficult to predict the water shortage in a case where the pattern of a natural disaster is different from the one in the past. To overcome the limitation, in this study, we applied the four RCP climate change scenarios to the water balance model and the annual amount of water shortage from 360 drought events was estimated. In the following chapter, the deep neural network model was trained with the SPEI values from the RCP scenarios and the amount of water shortage as the input and output, respectively. The trained model in each sub-basin enables us to easily and reliably predict the water shortage with the SPEI values in the past and the predicted meteorological conditions in the upcoming season. It can be helpful for decision-makers to respond to future droughts before their onset.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.3
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• pp.343-350
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• 2022

High-resolution data are needed to understand water body mixing patterns at river junctions. In particular, in river analysis, hydrological and water quality characteristics are used as basic data for aquatic ecological health, so observation through continuous monitoring is necessary. In addition, since measurement is carried out through a one-dimensional and fixed measurement method in existing monitoring systems, a hydrological and water quality characteristics investigation of an entire river, except for in the immediate vicinity of the measurement point, is not undertaken. In order to obtain high-resolution measurement data, a measurer has to consider multiple factors, and the area or time that can be measured is limited. Although the resolution might be lowered, an appropriate interpolation method must be selected in order to acquire a wide range of data. Therefore, in this study, a high-elevation measurement method at a river junction was introduced, and the interpolation method according to the measurement results was compared. The overall hydraulic and water quality information of the river was indicated through the visualization of the prediction and interpolation method in the low-resolution measurement result. By comparing each interpolation method, Inverse Distance Weighting, Natural Neighbor, and Kriging techniques were applied in river mapping to improve the precision of river mapping through visualized data and quantitative evaluation. It is thought that this study will offer a new method for measuring rivers through spatial interpolation.

• Journal of Korean Society of Disaster and Security
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• v.16 no.1
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• pp.105-113
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• 2023

Jeollanam-do has 25 land-to-island and island-to-island bridges, the largest number in Korea. It is a local government rich in specialized marine and tourism resources centered on the archipelago and the sea bridges connecting them. However, in the case of sea-crossing bridges, when strong winds or typhoons occur, there is an issue that increases anxiety among users and local residents due to excessive vibration of the bridge, apart from structural safety of the bridge. In fact, in the case of Cheonsa Bridge in Shinan-gun, which was recently opened in 2019, vehicle traffic restrictions due to strong winds and excessive vibrations frequently occurred, resulting in complaints from local residents and drivers due to increased anxiety. Therefore, based on the data measured using IoT measurement technology, it is possible to relieve local residents' anxiety about the safety management of marine bridges by providing quantitative and accurate bridge vibration levels related to traffic and wind conditions of bridges in real time to local residents. This study uses the existing measurement system and IoT sensor to constantly observe the wind speed and vibration of the marine bridge, and transmits it to local residents and managers to relieve anxiety about the safety and traffic of the sea-crossing bridge, and strong winds and to develop technologies capable of preemptively responding to large-scale disasters.