• Title/Summary/Keyword: 해양과학기술이전

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스마트 항로표지 활용·확산을 위한 법·제도 개선 방안

  • 이주영;권기원;오세웅
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.11a
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    • pp.313-314
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    • 2022
  • 항로표지법은 항로표지를 설치하고 합리적이고 효율적으로 관리하여 해상교통의 안전을 도모하고, 선박 운항의 능률을 향상시키는데 이바지하는 것을 목적하며, 항로표지의 정의와 설치·관리 및 보호, 장비·용품 등의 연구·개발 및 검사 등을 법으로 규정하고 있다. 항로표지는 해상교통의 중요한 인프라로 미래 해상환경 패러다임(MASS, AI Port, Digiral twin 등)에 대응이 가능한 스마트 항로표지로 전향하는 길목에 있다. 스마트 항로표지는 자가 고장진단 및 전원유지, 다중통신 기술 인터페이스를 제공하는 등 다목적 해양플랫폼, 전원관리시스템, 해양용다중통신 플랫폼 등을 국가 R&D를 통해 개발하고 있으며, 국내 해상 실증을 통한 글로벌 표준 제정 등의 과정을 거쳐 최종적으로는 기술이전을 통한 국내 관련 업체들의 해외진출까지를 목표로 하고 있어 기존 항로표지법을 개발될 스마트 항로표지 적용 및 활용·확산을 위한 개선 방안 마련이 필요하다.

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대덕에 연구학원 도시 건설

  • Korean Federation of Science and Technology Societies
    • The Science & Technology
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    • v.6 no.7 s.50
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    • pp.5-6
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    • 1973
  • 정부는 충남 대덕군 유성 탄동 구즉면 일대에 인구 5만을 수용하는 7백만평 규모의 연구학원도시를 건립키로 확정발표했다. 지난 6월 26일 과학기술처가 발표한 연구학원도시 건립계획에 의하면 이 도시는 대전 서북쪽 8km 지점에 위치하며 산업기술개발을 위한 선박연구소 주물기술센터, 정밀기계 센터, 정밀기계 설계 및 가공센터, 해양개발연구소 등 5대 연구기관을 비롯, 서울시에서 이전이 불가능한 12개 국립연구기관을 중심으로 건설될 뿐아니라 충남대학교도 옮겨 건설되는 방대한 규모로 74년부터 8년에 걸쳐 완성, 76년부터는 연구활동을 시작할 수 있게 된다. 과학기술처가 발표한 연구학원도시건설계획은 다음과 같다.

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Classification of bearded seals signal based on convolutional neural network (Convolutional neural network 기법을 이용한 턱수염물범 신호 판별)

  • Kim, Ji Seop;Yoon, Young Geul;Han, Dong-Gyun;La, Hyoung Sul;Choi, Jee Woong
    • The Journal of the Acoustical Society of Korea
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    • v.41 no.2
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    • pp.235-241
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    • 2022
  • Several studies using Convolutional Neural Network (CNN) have been conducted to detect and classify the sounds of marine mammals in underwater acoustic data collected through passive acoustic monitoring. In this study, the possibility of automatic classification of bearded seal sounds was confirmed using a CNN model based on the underwater acoustic spectrogram images collected from August 2017 to August 2018 in East Siberian Sea. When only the clear seal sound was used as training dataset, overfitting due to memorization was occurred. By evaluating the entire training data by replacing some training data with data containing noise, it was confirmed that overfitting was prevented as the model was generalized more than before with accuracy (0.9743), precision (0.9783), recall (0.9520). As a result, the performance of the classification model for bearded seals signal has improved when the noise was included in the training data.

A Study on R&D Performance Analysis of Marine Technology (해양수산 연구개발사업 성과분석 연구)

  • Choi, Sang Sun;Oh, Inha;Lee, Dongmyeng
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.19 no.2
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    • pp.165-171
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    • 2016
  • In this study, the characterization of projects and analysis of R&D products and commercialization performances were done to serve some implications on the policy decisions related to the commercialization of R&D in marine and fisheries sector. A total of 212 R&D projects with 144 ones for marine and 68 for fisheries performed for 5 years, from 2010 to 2014, were sorted and analyzed on the respect of government budget, main performing body, and research period. The R&D result and commercialization performance were substituted to quantitative indicators, such as the number of published papers, the number of patents, the amount of the technology royalty, the number of technology transfers, and the improvement of public service, which were subjects to be analysed. Based on the results, this study suggests the policy implications for the success of national R&D program; 1) diversifying the main performing body, 2) operating the system for sharing research infrastructures among researchers, 3) introducing the adaptable R&D program management, 4) expending the portion of grants without detailed requests for proposal, and 5) leaning the investigation of R&D budgets on projects focusing on the practicalization and commercialization.

Sediment Trap Studies to Understand the Oceanic Carbon Cycling: Significance of Resuspended Sediments (퇴적물 트랩을 이용한 해양 탄소 순환 연구 동향: 재부유 퇴적물의 중요성)

  • KIM, MINKYOUNG
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.26 no.2
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    • pp.145-166
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    • 2021
  • For several decades, sediment traps have served as one of the key tools for constraining the biological carbon pump (BCP), a process that vertically exports particulate organic carbon (POC) and associated biogenic materials from marine primary production in surface waters to the deep ocean interior. In this paper, I introduced the general methods, the current status of global sediment trap studies, and importance of it to understand the deep ocean carbon cycling. Recent studies suggest that sinking POC in the deep ocean are more complex and spatio-temporally heterogeneous than we considered. Especially researches those studied resuspended and laterally transported particles are presented. Researches that used organic (radiocarbon; 14C) and inorganic (Al) tracers to understand the oceanic POC cycling and the significance of resuspended particles are reviewed, and the importance of radiocarbon study by using MICADAS (Mini radioCarbon Dating Systems) is emphasized.

Monitoring of Bathymetry Changes in the Coastal Area of Dokdo, East Sea (동해 독도 연안 해저지형 변동 모니터링 연구)

  • Chang Hwan Kim;Soon Young Choi;Won Hyuck Kim;Hyun Ok Choi;Chan Hong Park;Yun Bae Kim;Jong Dae Do
    • Economic and Environmental Geology
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    • v.56 no.5
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    • pp.589-601
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    • 2023
  • We compare high-resolution seabed bathymetry data and seafloor backscattering data acquired, using multi-beam, between 2018 and 2021 to understand topographic changes in the coastal area of Dokdo. The study area, conducted within a 500 m × 500 m in the southern coast between the islands where Dongdo Port is located, has been greatly affected by human activities, waves and ocean currents. The depth variations exhibit between 5 - 70 m. Irregular underwater rocks are distributed in areas with a depth of 20 m or less and 30 - 40 m. As a whole, water depth ranges similar in the east-west direction and become flatter and deeper. The bathymetry contour in 2020 tends to move south as a whole compared to 2018 and 2019. The south moving of the contours in the survey area indicates that the water depth is shallower than before. Since the area where the change in the depth occurred is mainly formed of sedimentary layers, the change in the coast of Dokdo were mainly caused by the inflow of sediments, due to the influence of wind and waves caused by these typhoons (Maysak and Haishen) in 2020. In the Talus area, which developed on the shallow coast between Dongdo and Seodo, the bathymetry changed in 2020 due to erosion or sedimentation, compared to the bathymetry in 2019 and 2018. It is inferred that the changes in the seabed environment occur as the coastal area is directly affected by the typhoons. Due to the influence of the typhoons with strong southerly winds, there was a large amount of sediment inflow, and the overall tendency of the changes was to be deposited. The contours in 2021 appears to have shifted mainly northward, compared to 2020, meaning the area has eroded more than 2020. In 2020, sediments were mainly moved northward and deposited on the coast of Dokdo by the successive typhoons. On the contrary, the coast of Dokdo was eroded as these sediments moved south again in 2021. Dokdo has been largely affected by the north wind in winter, so sediments mainly move southward. But it is understood that sediments move northward when affected by strong typhoons. Such continuous coastal change monitoring and analysis results will be used as important data for longterm conservation policies in relation to topographical changes in Dokdo.

Data Processing System for the Geostationary Ocean Color Imager (GOCI) (천리안해양관측위성을 위한 자료 처리 시스템)

  • Yang, Hyun;Yoon, Suk;Han, Hee-Jeong;Heo, Jae-Moo;Park, Young-Je
    • KIISE Transactions on Computing Practices
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    • v.23 no.1
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    • pp.74-79
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    • 2017
  • The Geostationary Ocean Color Imager (GOCI), the world's first ocean color sensor operated in a geostationary orbit, can be utilized to mitigate damages by monitoring marine disasters in real time such as red tides, green algae, sargassum, cold pools, typhoons, and so on. In this paper, we described a methodology and procedure for processing GOCI data in order to maximize its utilization potential. The GOCI data processing procedure is divided into data reception, data processing, and data distribution. The kinds of GOCI data are classified as raw, level 1, and level 2. "Raw" refers to an unstructured data type immediately generated after reception by satellite communications. Level 1 is defined as a radiance data type of two dimensions, generated after radiometric and geometric corrections for raw data. Level 2 indicates an ocean color data type from level-1 data using ocean color algorithms.

The Significance and Implications of Establishing Marine Economic Development Pilot Zones in the Viewpoint of China's Marine Industry Policy (중국 해양산업정책에서 해양경제개발 시범구 설정의 의미와 시사점)

  • Liang, Yin-Jing;Choi, Sung-Doo
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.20 no.1
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    • pp.59-70
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    • 2014
  • In recent years, Chinese government established 4 pilot zones at Shandong, Zhejiang, Guangdong, Fujian. The national marine development pilot zones policy is formed in order to promote development of Chinese marine economy, as if Chinese government selected 4 special economic zones as the policy experiment areas for economic structural reform at the beginning stage of reform and opening-up. This article utilizes the policy-making theory of Incrementalism Model and aims at searching for the essence, historical formation process, implementation state, implications of 4 Chinese marine economic development pilot zones policy. Moreover, the prospect of their future development is analyzed. The marine pilot zone policy has the following features: new development model with advanced industries and sciences & technology, highly civil participation, plural policy goals. These research results would be able to contribute not only to getting better understanding of China's marine industry policy, but also to drawing lessons for the construction of Korea's marine economic special zone in the viewpoint of policy transfer.

Estimation of Surface fCO2 in the Southwest East Sea using Machine Learning Techniques (기계학습법을 이용한 동해 남서부해역의 표층 이산화탄소분압(fCO2) 추정)

  • HAHM, DOSHIK;PARK, SOYEONA;CHOI, SANG-HWA;KANG, DONG-JIN;RHO, TAEKEUN;LEE, TONGSUP
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.24 no.3
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    • pp.375-388
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    • 2019
  • Accurate evaluation of sea-to-air $CO_2$ flux and its variability is crucial information to the understanding of global carbon cycle and the prediction of atmospheric $CO_2$ concentration. $fCO_2$ observations are sparse in space and time in the East Sea. In this study, we derived high resolution time series of surface $fCO_2$ values in the southwest East Sea, by feeding sea surface temperature (SST), salinity (SSS), chlorophyll-a (CHL), and mixed layer depth (MLD) values, from either satellite-observations or numerical model outputs, to three machine learning models. The root mean square error of the best performing model, a Random Forest (RF) model, was $7.1{\mu}atm$. Important parameters in predicting $fCO_2$ in the RF model were SST and SSS along with time information; CHL and MLD were much less important than the other parameters. The net $CO_2$ flux in the southwest East Sea, calculated from the $fCO_2$ predicted by the RF model, was $-0.76{\pm}1.15mol\;m^{-2}yr^{-1}$, close to the lower bound of the previous estimates in the range of $-0.66{\sim}-2.47mol\;m^{-2}yr^{-1}$. The time series of $fCO_2$ predicted by the RF model showed a significant variation even in a short time interval of a week. For accurate evaluation of the $CO_2$ flux in the Ulleung Basin, it is necessary to conduct high resolution in situ observations in spring when $fCO_2$ changes rapidly.