• Title/Summary/Keyword: 전통적 어업시스템

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A Scheme for listing on FAO GIAHS and Preservation of Juk-Bang-Ryeum in the Southern Coast of Korea (남해안 죽방렴의 세계중요농어업유산 등재 및 보존 방안)

  • Lee, Kyung-Joo;Kwon, Hojong;Jeong, Dae-Yul
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.9 no.4
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    • pp.325-336
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    • 2019
  • There are many bamboo weir (Juk-Bang-Ryeum) with the highest preservation value as a fisheries heritage from Sacheon to Namhae area in the Korea Hanrye National Marine Park. It was designated as a Korea National Cultural Property Sightseeing No. 71, and also as an important fishery asset listed in the Korea National Important Fisheries Heritage No. 3. It is an important cultural heritage that should be preserved for the future as a community asset to the local residents, and should be preserved as it's original form because of unique traditional fishery style in the world as well as natural environment oriented fishing system. The purpose of this study is to review the value of Juk-Bang-Ryeum in the South Sea as well as to preserve the tradition of it. This paper will make a contribution to the registration of it on the list of World Important Agricultural and Fishery Heritage (GIAHS), which is recognized by the United Nations Food and Agriculture Organization (FAO). To make basic data for listing on it, we will analyze the characteristics and structure of Juk-Bang-Ryeum, and also research the value of it from the historical literature review as well state of arts. We also develop a scheme for listing on FAO GIAHS through checking necessary items step by step. Finally, we suggest some idea to preserve it more effectively.

Valuation on Economical Value of Operation Frequencies for the Fishery Communications (어업통신을 위한 운용주파수의 경제적 가치 평가)

  • Choi, Jo-Cheon;Kim, Geon-Ung;Kim, Jeong-Nyun;Lee, Seong-Ro
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39C no.9
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    • pp.774-781
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    • 2014
  • Demand for spectrum resources is increasing with the development of mobile telecommunications and so is their economic value. As a way to enhance the economic efficiency of use of spectrum resources, many countries have focused on the management of public and broadcasting spectrums which have traditionally been undercharged compared to their economic values. In this paper, we discuss the economic value valuation of the frequencies for the fisheries communications. The estimated value is the average value of the total equipment cost of the mobile communication services that their service coverage is nation-wide, and the value that adjusted the auction price for the LTE service frequencies in 2011 to the characteristics of fisheries communications.

A Study on the Search of Optimal Aquaculture farm condition based on Machine Learning (머신러닝 기반의 최적 양식장 조건 검색에 관한 연구)

  • Kang, Min-Soo;Jung, Yong-Gyu;Jang, Du-Hwan
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.17 no.2
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    • pp.135-140
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    • 2017
  • The demand for aquatic products in the domestic and overseas is increased, so that the aquaculture industry can achieve high performance by controlling and standardizing the production even with a relatively small amount of resources compared with existing fisheries. However, traditional method has problems of low productivity such as natural disasters and ecosystem pollution, and it is necessary to develop a new culture system that can move to the optimal culture site. In order to find the optimal location, you need to collect and analyze the necessary data such as temperature and DO in real time. Data analysis was performed by using K-means clustering method based on machine learning, so that it was possible to decision when and where to move the farm by repeated unsupervised learning. The proposed research could solve the problems of low productivity such as natural disasters and ecosystem pollution if applied to regressive fish farmers.

Policy for Rural Population Growth in Shimane, Japan (일본의 농촌 정주촉진 지원 정책 : 시마네현을 중심으로)

  • Hwang, Jeong-Im;Choi, Yoon-Ji;Cho, Young-Sook;Won, Ji-Yoon
    • Proceedings of the Korean Society of Community Living Science Conference
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    • 2009.09a
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    • pp.98-98
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    • 2009
  • 농촌 지역의 인구 감소 및 그에 따른 지자체의 위기의식이 심화됨에 따라 국내에서도 지역마다 각종 인구 늘리기 시책을 실행하고, 중앙에서 도시민 농촌유치 프로그램 지원 시범사업을 기획하는 등 지역 발전의 기본 요건이 되는 인구 감소의 해결을 위한 노력이 가시화되고 있다. 이에 따라 본 연구는 일본의 정주촉진 정책 사례에 대한 고찰을 통해 국내 정책에의 시사점을 도출하고자 한다. 시마네현은 일본 혼슈의 동해 연안에 위치하고 있으며, $6707.26km^2$의 면적에 약 74만 2천 명의 인구(2005)가 살고 있는 지역이다. 시마네현의 총 토지면적 중 약 80%가 산림면적이며, 경지면적은 41,000ha로 약 6%를 차지하고 있다. 이 중 논이 80%를 차지하여 논농사 중심의 농업이 이루어지고 있으며, 풍요로운 수산자원을 보유하고 있어 어업활동도 활발하다. 이러한 시마네현에서는 UI턴의 촉진을 위해 '산업체험사업'을 1996년부터 시행하고 있는데, 농림어업에 관한 산업체험을 실시하고, 체험 후의 거주지로 빈집을 활용하는 사업이다. 현 외 거주자가 시마네현 내에서 일정시기 산업체험을 하고자 할 경우, 월 50,000엔이 지급되며, 거주지 확보가 어려울 경우 트레일러하우스나 빈집활용주택, 공영주택 등을 임대해주고 있다. 또 시마네 현 내에서 30세 미만의 청년 미취업자가 일정기간 산업체험을 실시할 경우, 체험에 필요한 경비의 일부를 제공해주고 있다. 그간의 실적을 보면 연간 평균 105명이 체험에 참가하고 있으며, 2000년 이후 정착률은 50%를 넘고 있다. 총 259개의 체험 장소에서 월 평균 4명이 참가하고 있으며, 업종별 참가자수는 농업 및 기타(관광, 전통공예), 어업, 임업, 축산업의 순서로 많은 것으로 나타나고 있다. 또한 시마네현의 고츠시에서는 '도시와의 공생 교류' 실현을 위한 9가지 중점시책을 설정하고 그에 따른 사업을 실행하고 있다. 농산어촌의 취락을 유지하는 것이 첫 번째 중점시책으로서 이를 위해 빈집을 활용한 정주와 교류가 활발히 이루어질 수 있도록 주거 정보를 수집, 관리, 웹을 통해 제공하고 있으며, 농지 유동화 및 농림수산물의 직거래 시스템 확립에 주력하고 있다. 이 밖에도 UI턴자 확보를 위해 지역에서 살고, 일하고, 즐기는데 대한 일체적인 정보 제공 시스템을 마련하고 있으며, '고향교육'을 통해 지역에 대한 애착심을 기르는 동시에 지역에서의 취업 지향을 높이는데 힘쓰고 있다. 농촌 정주촉진을 위한 사업 내용면에서는 일본과 우리나라 간 큰 차이가 없다. 그러나 사업에의 의지와 방향 설정, 사업 추진체계 및 운영방식 등에서 발견되는 차이를 주시함으로써 농촌 지역 인구 증가에 보다 실질적으로 기여할 수 있는 정책으로 만들어가야 할 것이다.

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Performance Assessment of Two-stream Convolutional Long- and Short-term Memory Model for September Arctic Sea Ice Prediction from 2001 to 2021 (Two-stream Convolutional Long- and Short-term Memory 모델의 2001-2021년 9월 북극 해빙 예측 성능 평가)

  • Chi, Junhwa
    • Korean Journal of Remote Sensing
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    • v.38 no.6_1
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    • pp.1047-1056
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    • 2022
  • Sea ice, frozen sea water, in the Artic is a primary indicator of global warming. Due to its importance to the climate system, shipping-route navigation, and fisheries, Arctic sea ice prediction has gained increased attention in various disciplines. Recent advances in artificial intelligence (AI), motivated by a desire to develop more autonomous and efficient future predictions, have led to the development of new sea ice prediction models as alternatives to conventional numerical and statistical prediction models. This study aims to evaluate the performance of the two-stream convolutional long-and short-term memory (TS-ConvLSTM) AI model, which is designed for learning both global and local characteristics of the Arctic sea ice changes, for the minimum September Arctic sea ice from 2001 to 2021, and to show the possibility for an operational prediction system. Although the TS-ConvLSTM model generally increased the prediction performance as training data increased, predictability for the marginal ice zone, 5-50% concentration, showed a negative trend due to increasing first-year sea ice and warming. Additionally, a comparison of sea ice extent predicted by the TS-ConvLSTM with the median Sea Ice Outlooks (SIOs) submitted to the Sea Ice Prediction Network has been carried out. Unlike the TS-ConvLSTM, the median SIOs did not show notable improvements as time passed (i.e., the amount of training data increased). Although the TS-ConvLSTM model has shown the potential for the operational sea ice prediction system, learning more spatio-temporal patterns in the difficult-to-predict natural environment for the robust prediction system should be considered in future work.

Study on the Big Data Platform Construction of Fisheries (수산업 빅데이터 플랫폼 구축 방안에 대한 연구)

  • Choi, Joowon;Jung, Jaewook;Kim, Youngae;Shin, Yongtae
    • KIPS Transactions on Computer and Communication Systems
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    • v.9 no.8
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    • pp.181-188
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    • 2020
  • The fisheries industry is rapidly shifting from a traditional fishery to aquaculture paradigm and it faces various problems such as depletion of fishery resources and aging of fishing villages. We need the establishment of a fisheries big data platform that includes both the data of the central and surrounding industries of the fisheries industry for enhancement of establishment of a fisheries, 6th industrialization of fishing villages, establishment of related technical standards, and discovery of the new industries to overcome this. Data center agencies should collect, link, and pre-processing, and the platform organizer should create a water industry data virtuous circle through the establishment, operation, and data market of big data platforms to help overcome the current crisis, secure smart fisheries hegemony, and use it as a key to value transfer. Through this study, I would like to propose a policy and technical big data platform construction plan to successfully promote it.