• Title/Summary/Keyword: 제주-11

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전력신기술 워크샵 개최

  • Korea Electric Association
    • JOURNAL OF ELECTRICAL WORLD
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    • s.348
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    • pp.2-4
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    • 2005
  • 대한전기협회는 11월 25일부터 26일까지 양일간 제주도 라마다 호텔에서 중소기업의 전력신기술 개발의욕을 높이고 개발된 신기술의 활용도를 증진시키기 위한‘전력신기술 워크샵’을 개최했다.

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태양-풍력 복합발전 시스템의 개발 및 현황

  • 이춘식
    • 전기의세계
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    • v.33 no.11
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    • pp.666-676
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    • 1984
  • 본고의 내용은 다음과 같다. 1. 도서.벽지 전화 현황 2. 태양 및 풍력발전시스템의 개발현황 3. 태양-풍력 복합발전시스템 4. 제주도 태양-풍력 복합발전시스템의 구성

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Determining locations of bus information terminals (BITs) in rural areas based on a passenger round-trip pattern (왕복통행 특성을 이용한 지방부 버스정보안내기(BIT) 지점 선정)

  • Kim, Hyoung-Soo;Kim, Eung-Cheol
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.11 no.2
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    • pp.1-9
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    • 2012
  • This study proposed a method to determine the number and location of bus information terminals (BIT), which is a device to provide passengers with bus arrival time at bus stops in a Bus Information System (BIS). In low-density area, it is not efficient to survey bus demands such as the number of passengers at all bus stops due to time and cost. This kind of a survey would, however, competently cover all bus stops if performed inside the bus. The number of riding-on and -off passengers is observed for every bus stop, and this data collection is repeated over all day. Data obtained from the survey are aggregated each bus stop. This study defines Utility Index (UI), an aggregate each bus stop. Bus stops are ranked according to UI and determined for a BIT within budget limitation. As a case study, a bus line in Jeju island, Korea, was dealt with. This case showed that the more aggregate the better data quality. This study is expected to contribute to solving a location problem of BITs in a BIS.

Hydrous Minerals (Phlogopite and Amphibole) from Basaltic Rocks, Jeju Island: Evidences for Modal Metasomatism (제주도 현무암에 산출되는 함수광물(금운모와 각섬석): 모달교대작용의 증거)

  • Heo, Seo-Young;Yang, Kyoung-Hee;Jeong, Hoon-Young
    • The Journal of the Petrological Society of Korea
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    • v.21 no.1
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    • pp.13-30
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    • 2012
  • Phlogopite and kaersutite, showing distinctively different textural characteristics compared to the common phenocrysts, are observed in alkali basalt from Jeju Island. They occur as large crystals (2-10 mm) in host basalts, whereas fine-grained phlogopite and kaersutite occur in ultramafic mantle xenoliths and mafic gabbroic xenoliths, respectively, as an interstitial and microvein phases, or in corona textures (<1 mm). This textural characteristics of fine-grained grains clearly indicates secondary in origin. Phlogopite contains high $TiO_2$(4.1-6.9 wt%) and F(2.8-4.6 wt%) and relatively high mg#[=100Mg/(Mg+$Fe^t$) in mols, where $Fe^t$ is total iron](88-80), whereas kaersutite has high $TiO_2$(5.6-6.11 wt%) and much lower mg#s(68-64). Our textural observations and the geochemical character of these hydrous minerals suggest that they were unrelated to each other and mica formation happened early in the upper mantle before the mantle xenoliths had been trapped. In contrast, kaersutite formation has happened later, probably during the late stage of crystallization as intracrustal processes. The presence of phlogopite and kaersutitic amphibole is a direct evidence for K-, Ti-, F- and $H_2O$-bearing fluid/melt percolation in the lithosphere beneath Jeju Island, indicating that they are product of interaction between host rock/peridotite/fluid-melt. Thus, the upper mantle/lower crust beneath Jeju Island are metasomatized to various extents, characterized by a change in major metasomatic hydrous minerals from phlogopite to amphibole with decreasing depth.

A Preliminary Study on Calculating Eruptive Volumes of Monogenetic Volcanoes and Volcanic Hazard Evaluation in Jeju Island (제주도 단성화산의 분화량 계산과 화산재해 평가에 대한 예비연구)

  • Ko, Bokyun;Yun, Sung-Hyo
    • The Journal of the Petrological Society of Korea
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    • v.25 no.2
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    • pp.143-149
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    • 2016
  • Eruptive volumes of three monogenetic volcanoes (Songaksan tuff ring, Biyangdo scoria cone, and Ilchulbong tuff cone) with the youngest eruption age are calculated using the model, applied to Auckland Volcanic Field in New Zealand, to investigate the volcanic eruption scale and to evaluate volcanic hazard of Jeju Island. Calculated eruptive volumes of the volcanoes are $24,987,557m^3$, $9,652,025m^3$, and $11,911,534m^3$, respectively, and the volumes include crater infill, tuff ring (tuff cone), scoria cone, and lava flow. Volcanic explosivity indices of Songaksan tuff ring, Biyangdo scoria cone, and Ilchulbong tuff cone are estimated based on the eruptive volumes to be 3, 2, and 3 respectively, and eruption type is Strombolian to Surtseyan. It is assumed that the amount of emitted sulfur dioxide gas is $2-8{\times}10^3kt/y$ according to the correlation between volcanic explosivity index and volcanic sulfur dioxide index. Recent age dating researches reveal evidences of several volcanic activities during the last 10,000 years indicating the possible volcanic eruption in Jeju Island in the near future. Therefore, it is necessary for appropriate researches regarding volcanic eruption of the island to be accomplished. In addition, establishment of the evaluation and preparation system for volcanic hazard based on the researches is required.

Address-Internetworking Scheme between Wireless Sensor Network and Internet Using TCP Port-Numbers (TCP 포트번호를 이용한 센서 네트워크와 인터넷(IPv4/IPv6)의 주소 연동)

  • Kim, Jeong-Hee;Kwon, Hoon;Kim, Do-Hyeu;Kwak, Ho-Young;Do, Yang-Hoi;Kim, Dae-Young;Byun, Yung-Cheol
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.1
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    • pp.114-123
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    • 2007
  • As a promising technology that enables ubiquitous computing and will lead the information technology industries of the next generation, the new field of sensor networks is one of the most active research topics today. From now on, each node, the network formation, and even the sensor network itself will interact with the generic network and evolve dynamically according to environmental changes, in a process of continual creation and extinction. In this paper, we propose a address-Internetworking scheme for interactive networking between a sensor network and the Internet based on the TCP port-numbers. The proposed scheme enables internetworking between a sensor network address scheme based on Zigbee and the Internet address scheme based on the Internet Protocol version 6 (IPv6). We implement the proposed address-Internetworking scheme using Berkeley TinyOS, Mica Motes, and IP. In addition we verify the proposed scheme by an interconnection experiment, which involves wireless sensor networks and the Internet, using IPv4/IPv6.

Prediction of Carbon Accumulation within Semi-Mangrove Ecosystems Using Remote Sensing and Artificial Intelligence Modeling in Jeju Island, South Korea (원격탐사와 인공지능 모델링을 활용한 제주도 지역의 준맹그로브 탄소 축적량 예측)

  • Cheolho Lee;Jongsung Lee;Chaebin Kim;Yeounsu Chu;Bora Lee
    • Ecology and Resilient Infrastructure
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    • v.10 no.4
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    • pp.161-170
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    • 2023
  • We attempted to estimate the carbon accumulation of Hibiscus hamabo and Paliurus ramosissimus, semimangroves native to Jeju Island, by remote sensing and to build an artificial intelligence model that predicts its spatial variation with climatic factors. The aboveground carbon accumulation of semi-mangroves was estimated from the aboveground biomass density (AGBD) provided by the Global Ecosystem Dynamics Investigation (GEDI) lidar upscaled using the normalized difference vegetation index (NDVI) extracted from Sentinel-2 images. In Jeju Island, carbon accumulation per unit area was 16.6 t C/ha for H. hamabo and 21.1 t C/ha for P. ramosissimus. Total carbon accumulation of semi-mangroves was estimated at 11.5 t C on the entire coast of Jeju Island. Random forest analysis was applied to predict carbon accumulation in semi-mangroves according to environmental factors. The deviation of aboveground biomass compared to the distribution area of semi-mangrove forests in Jeju Island was calculated to analyze spatial variation of biomass. The main environmental factors affecting this deviation were the precipitation of the wettest month, the maximum temperature of the warmest month, isothermality, and the mean temperature of the wettest quarter. The carbon accumulation of semi-mangroves predicted by random forest analysis in Jeju Island showed spatial variation in the range of 12.0 t C/ha - 27.6 t C/ha. The remote sensing estimation method and the artificial intelligence prediction method of carbon accumulation in this study can be used as basic data and techniques needed for the conservation and creation of mangroves as carbon sink on the Korean Peninsula.