• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.103-104
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• 2006

In this paper, we analyze the UAV datalink design with calculating link budget of long-distance (200 km) Ku-band LOS wireless link. We calculate C/N of the real system and compare it with the required C/N, using the CCIR reports. In the rainy day of summer on the Korean peninsula, to maintain percent reliability 90% and BER 10^(-5) together, link budget of uplink of the system has a lot of margin at 200 km, link budget of downlink using the block turbo code is enough for distance 200 km.

• Korean Journal of Agricultural and Forest Meteorology
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• v.14 no.1
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• pp.11-18
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• 2012

Daily temperature data produced by harmonic analysis of monthly climate summary have been used as an input to plant phenology model. This study was carried out to evaluate the performance of the harmonic based daily temperature data in prediction of major phenological developments and to apply the results in improving decision support for agricultural production in relation to the climate change scenarios. Daily maximum and minimum temperature data for a climatological normal year (Jan. 1 to Dec. 31, 1971-2000) were produced by harmonic analysis of the monthly climate means for Seoul weather station. The data were used as inputs to a thermal time - based phenology model to predict dormancy, budburst, and flowering of Japanese cherry in Seoul. Daily temperature measurements at Seoul station from 1971 to 2000 were used to run the same model and the results were compared with the harmonic data case. Leaving no information on annual variation aside, the harmonic based simulation showed 25 days earlier release from endodormancy, 57 days longer period for maximum cold tolerance, delayed budburst and flowering by 14 and 13 days, respectively, compared with the simulation based on the observed data. As an alternative to the harmonic data, 30 years daily temperature data were generated by a stochastic process (SIMMETEO + WGEN) using climatic summary of Seoul station for 1971-2000. When these data were used to simulate major phenology of Japanese cherry for 30 years, deviations from the results using observed data were much less than the harmonic data case: 6 days earlier dormancy release, 10 days reduction in maximum cold tolerance period, only 3 and 2 days delay in budburst and flowering, respectively. Inter-annual variation in phenological developments was also in accordance with the observed data. If stochastically generated temperature data could be used in agroclimatic mapping and zoning, more reliable and practical aids will be available to climate change adaptation policy or decision makers.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.3
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• pp.325-330
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• 2016

Sea level is upward trend since the end of 19th century, it is accelerating after 20th century. Because sea level height has regional differences, we concerned sea level change in Korean Peninsula. We used Topex/Poseidon, Jason-1 and Jason-2 satellite altimetry data which has $1/4^{\circ}$ resolution. From 1993 to 2013, for 21 years, monthly mean sea level anomaly was negative between January and April, positive between March and October. Bohai Bay in China, affected the continental climate, showed big sea level changes. Mean sea level data showed remarkably affecting the continental climate in Bohai Bay in China, the Kuroshio Current and eddy affects the sea level change.

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.4
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• pp.733-739
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• 2012

In this paper, a smoke detection algorithm robust to brightness and color variations depending on time and weather is proposed. The proposed smoke detection algorithm specifies the candidate region using difference images of input and background images, determines smoke by comparing feature coefficients of Gaussian mixture model of difference images. Thresholds for specifying candidate region is divided by four levels according to average brightness and chrominance of input images. Clusters of Gaussian mixture models of difference images are aligned according to average brightness. Smoke is determined by comparing distance of Gaussian mixture model parameters. The proposed algorithm is implemented by media dedicated DSP. As results of experiments, it is shown that the proposed algorithm is effective to detect smoke with camera installed outdoor.

• The Magazine for Energy Service Companies
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• s.73
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• pp.52-55
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• 2011

'2011 대한민국 녹색에너지대전'이 지식경제부 주최, 에너지관리공단 주관으로 지난 10월 19일 서울 삼성동 코엑스(A,B홀)에서 개최되었다. 올 해로 31회를 맞이한 대한민국 녹색에너지대전은 '세이브 에너지, 스마트 라이프(Save Energy, Smart Life)라는 주제로 13개국, 247개 업체가 참가하였으며, 에너지절약 및 효율 향상 분야, 신재생에너지분야, 기후변화대응분야 등 녹색에너지 분야 전반을 총망라한 최신 녹색기술 제품들이 전시되었다. 이번 전시회는 코트라 주관의 수출상담회, 신재생에너지 유공자 포상이 열렸으며, 일반인 대상의 '신재생에너지 체험관'을 전시기간 내내 운영해 일반 관람객들이 태양광 선풍기 풍력자동차 등을 직접 조립해 보도록 해 관람객들의 호응을 얻었다. 21일 개최된 ESCO투자 사례 발표회에서는 산업체 건물에서 추진된 ESCO 투자 사례 정보를 제공해 주는 뜻 깊은 시간이 되었다. 특히 이번 전시회에는 대내외적으로 에너지절약에 대한 뜨거운 관심이 고조되는 가운데 롯데, LG전자, 삼성전자를 비롯해 효성, 삼천리 등 대기업이 대거 참가, 에너지효율 및 온실가스 저감 최신 기술을 선보였다. 이번 전시회에서는 에너지효율과 신재생에너지에 관심이 많은 관람객들과 최신에너지 기술을 도입하고자 하는 산업체 임직원, 신재생에너지 및 기후 변화대응분야 신규 사업에 관심이 있는 투자자 등 전시장을 찾는 모두에게 유익한 정보를 제공하는 뜻깊은 시간이 되었다.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.4
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• pp.813-818
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• 2018

In this paper, the assessment items were selected for water by drought, water quality by drought, and thermal diseases by heat wave. We described the selection background for these assessment items. and then we weighted the selected vulnerability assessment items. The vulnerability assessment procedures also describe the calculation methods applied in phases and the actual cases. The vulnerability assessment database was analyzed and a climate change vulnerability assessment system for heat waves and droughts using these vulnerability assessment procedures was designed.

• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.1
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• pp.94-105
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• 2016

This study was carried out to assess the distributional probability for Evergreen Broad-Leaved Forests(EBLFs) using the field data and digital climate data that were occurred during the period of 1980 to 2010. For the validation of logistic regression model, the probabilistic value ranged from 33 to 84%, especially the probabilistic value of growing distribution becomes lower patterns with higher altitude. In addition, it has been estimated that the probabilistic value of growing distribution is the highest with 63~83% among the regional units in temperate/warm-temperate forests.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2022.10a
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• pp.57-58
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• 2022

지속되는 기후변화에 의한 풍수해의 발생 빈도와 강도가 증가함에 따라 풍수해 등 극한 기상현상이 지역 및 상황에 따라 재난으로 이어지는 위험성이 높아지고 있어 기상정보 사용자 및 환경에 따라 서로 다른 기상정보의 중요성과 필요성이 급증하고 있다. 이와 같은 수요를 맞추고자 기상 재난에 의한 피해 위험 지역 거주 주민과 재난 현장에서 재난에 대응하는 방재 관계기관 등 특정 사용자의 요구와 필요에 특화된 맞춤형 기상긴급정보를 다양한 매체의 특성에 맞게 즉각적으로 생성하여 전달하기 위한 기상긴급정보전달시스템이 개발되고 있으며 인공지능을 활용한 긴급성의 식별과 정보 생성 방안이 연구되고 있다.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.4
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• pp.35-45
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• 2011

The purpose of this study is visualizing climate change contents from Weather Research and Forecasting model and providing useful tool to anyone who want to use them for communication and actual movement. As a results, we have built a process and user interface for publishing Arrow KML, BWS KML, and DI KML. Arrow KML provide wind rose service and wind attribute information for each arrow. BWS KML provide a wind power index and DI KML provide a thermal comfort. All KML contents are more reliable because those are visualized from the scientifically verified climate change prediction model. Further study will focus on searching for climate change contents mining and useful contents design for wide range of climate change mitigation/adaptation activity.

• Journal of Climate Change Research
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• v.4 no.4
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• pp.409-416
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• 2013

Recently, the property damage has been increasing due to climate change in South Korea. While the general public has become more aware of the environmental issues, but the environmental education system has not been able to meet up with the demands of the public. The purpose of this study is to suggest preliminary data which is needed for developing a environmental textbook. A survey was conducted to meet the following requirements. Respondent's level of interest in problems or situations concerning the following eight themes: fundamental science, health and medicine, aerospace engineering, life science, electrical electronics, telecommunication, mineral and energy resources, environment. The data was collected from 139 students in Seoul and Gyeonggi province. The results showed that health and medicine issues interest students the most (49.6%), followed by environment (46.8%). We asked the respondents who were very interested in each question for their reasons, and they answered that environmental issue is related to the improvement of their life quality (53.8%) than their curiosity (38.5%). Students were very interested in the other issues because of just curiosity. Most students (90.6%) said seasonal change was not same each year. 18.0% of respondents replied that they and their friends had experienced climate change. The majority of students (94.2%) thought that they will experience natural disaster blamed on climate change during their life. In other words, climate change is already the day-to-day events of their lives. The majority of their opinions, more then three than ten students(30.9%) said the South Korean government should conduct an energy saving campaign to climate change problems followed by expanding new renewable energy (24.5%), conducting adaptation policies of climate change(22.3 %), introducing of a system as like $CO_2$ emissions trading(20.9%) and so on. There are more Stu- dents (69.1%) who know of new renewable energy than students who don't know it; however, respondents who know the meaning very well were just 18.7% showing that most students dimly know the meaning of new renewable energy.