• 해양환경안전학회지
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• 제17권4호
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• pp.331-337
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• 2011

본 연구에서는 동북아시아 NOAA AVHRR 위성관측 16년간(1990-2005) 해양표면 수온영상을 이용하여 에러 값 제거와 결측 자료 보완을 위하여 마르코프 계수를 결정하였고, 이 값에서 현재 수온평년 값을 더하여 구름 없는 해양표면수온 생성 기법을 제시하였다. 마르코프 연쇄 모델의 결과에 의하면, 마르코프 계수는 해류가 강한 쿠로시오 해역 등이 해류가 약한 동해 북서부의 대부분 해역과 동중국해보다 그 계수가 상대적으로 낮게 나타났다. 평균 수온의 변동은 봄과 가을이 겨울과 여름에 비하여 분산이 크게 나타났고, 계절별 일간 수온 차이도 수온의 계절적 변동이 큰 봄과 가을이 여름과 겨울에 비하여 큰 지역적인 차이를 보였다. 그 지역적인 분포는 봄과 가을의 경우 전 해역의 대륙 인접부에서 대부분 크게 나타났고, 동해 극전선 남부해역과 쿠로시오해역에서는 난류에 의한 열수송으로 일간 수온의 차이가 작았다.

• 한국환경농학회지
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• 제11권1호
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• pp.20-25
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• 1992

현재 우리나라에서 수집가능한 데이타를 이용하여 간단한 수질예측 모델의 작성을 목적으로서, 우리나라의 주요한 12개 댐호(湖)를 대상으로 유역정보와 호수 수질과의 관계를 조사하였다. 얻어진 결과는 다음과 같다. 1. 호수의 환경정보가 매우 적기 때문에 데이타의 취사선택에 관해서 충분한 검토를 행하기 어려운 점이 있어서 앞으로 이들 데이타의 확보나 정보의 정비가 필요하다고 판단된다. 2. 댐호(湖)의 영양염 농도의 예측에는 침강속도를 0.4m/년으로서 Dillon과 Kirchner식을 이용하는 것이 좋았다. 3. 엽록소 a의 농도는 엽록소 $a=395\;{\time}\;Nu-1.090$의 식으로 예측할 수 있었다. 4. 앞으로 예측의 정도를 향상시키기 위해서는 발생원단위 및 배출원단위의 검토와 보다 많은 호수나 댐에서의 실측 데이타 및 유역 환경 데이타의 축적 및 정비가 필요하다고 판단된다.

• 한국대기환경학회지
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• 제12권4호
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• pp.495-504
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• 1996

The concentrations of dimethylsulfide (DMS) were determined from both seawater and the overlying atmosphere from a station located in the Masan Bay area during a ten-day field campaign period of January 1996. The resulting data were also used to derive saturation ratios (SR) as well as sea-to-air fluxes of DMS. The concentrations and fluxes of DMS for both reservoirs varied extensively over two to three orders of magnitude: DMS in air and seawater were measured at 9 to 4,300 pptv (mean: 600 $\pm$ 1, 170, N=18) and at 0.24 to 10 nM (4.0 $\pm$ 3.4, N=13), respectively, while its fluxes were found from 0.02 to 23 mol $m^{-2} day^{-1} (3.1 \pm 6.8, N=11)$. A comparative analysis between our data and previously reported ones indicate that its atmospheric concentrations are abnormalously high, but its seawater counterparts are slightly lower than expected. In light of high pollution levels of organic-rich materials in and the associated high biological productivity of the study area, the sea-to-air-fluxes derived are notably low relative to those values typically reported from the coastal areas. These complicated features of DMS distributions/fluxes in the study site indicate that the near-by port- based anthropogenic activities from various industrial plants strongly interfere with natural processes leading to the production and release of DMS. It was however striking to find out relatively strong signals of diel cycle in its saturation ratios, concentration gradients between seawater and atmosphere, and the associated fluxes. Although it is yet difficult to provide meaningful explanations for the observed phenomena, the existence of clear diel cycle in some DMS-related parameters suggests that the natural processes may nonetheless exert important controls on the regional cycling of atmospheric sulfur species, of particular DMS.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권10호
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• pp.2701-2717
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• 2023

In this paper, a hybrid fuzzy-based method is suggested for determining India's best system for power generation. This suggested approach was created using a fuzzy-based combination of the Giza Pyramids Construction (GPC) and Recalling-Enhanced Recurrent Neural Network (RERNN). GPC is a meta-heuristic algorithm that deals with solutions for many groups of problems, whereas RERNN has selective memory properties. The evaluation of the current load requirements and production profile information system is the main objective of the suggested method. The Central Electricity Authority database, the Indian National Load Dispatch Centre, regional load dispatching centers, and annual reports of India were some of the sources used to compile the data regarding profiles of electricity loads, capacity factors, power plant generation, and transmission limits. The RERNN approach makes advantage of the ability to analyze the ideal power generation from energy data, however the optimization of RERNN factor necessitates the employment of a GPC technique. The proposed method was tested using MATLAB, and the findings indicate that it is effective in terms of accuracy, feasibility, and computing efficiency. The suggested hybrid system outperformed conventional models, achieving the top result of 93% accuracy with a shorter computation time of 6814 seconds.

• International Journal of Computer Science & Network Security
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• 제21권3호
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• pp.191-197
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• 2021

Ensuring the economic security of agro-industrial complexes of Ukrainian regions has become a top-priority task of state regional policy, as their stable functioning is an essential element of economic security of the whole country. It is overcoming threats to the development of the agro-industrial complex that ensures its further effective functioning and has a significant impact on the economic security of our state. Methods: logical method; methods of system analysis; synthesis; economic and statistical method; method of expert assessment; SWOT analysis; economic and mathematical modelling and planning. Results. Characteristic features of economic security have been given. The essence and significance of the agro-industrial complex in improving the economic security of the state have been determined. It has been noted that in recent years, the agro-industrial complex, which acts as a driver of the domestic economy and has a direct impact on the development of the country, has been growing (in 2019 the cereal and legume harvest exceeded 75 million tons, 20,269 thousand tons of potatoes were dug, more than 15 million tons of sunflower, 9,688 thousand tons of vegetables and 2,119 thousand tons of fruits and berries were harvested, meat and egg production increased by 137.5 thousand tons (or 5.8%) and 545.5 million pieces (or 3.4%), respectively, the number of employed population in agriculture increased by 139.8 thousand people (or 4.9%), the labour productivity in crop production increased by UAH 294.4 thousand (or 44.6%), in livestock production - by UAH 311.3 thousand (or 61.8%)). Based on the system of production and economic indicators, the analysis of the state of the agro-industrial complex has been carried out. Taking into account the results of the obtained data and using SWOT-analysis, the major threats to the development of the agro-industrial complex have been identified. Ways of overcoming threats enhancing the economic security of Ukraine have been proposed.

• Journal of Information Science Theory and Practice
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• 제4권2호
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• pp.21-33
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• 2016

A sustainable development in science, innovation, and technology requires a balanced distribution of scientific wealth in sub-country regions. This paper addresses the issue of geographical distribution of scientific wealth and its goal is to offer a framework to describe and measure the share of provinces in national scientific wealth. Our proposed model divides the indicators of scientific wealth into two groups, production and the use of scientific wealth. To evaluate this model, the scientific wealth of Iran was studied using recorded data on IRANDOC databases. Rich, average, and poor provinces were identified and the results showed that 70% of the scientific wealth belongs to 20% of the provinces. The findings can facilitate planning for a sustainable science and technology policy.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1194-1196
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• 2003

Variations in soil physical and chemical properties can affect agricultural productivity and the environmental implications of crop production. These variations are present and may be important at regional, field, and sub-field (precision agriculture) scales. Because traditional measurements are time-consuming and expensive, reflectance-based estimates of soil properties such as texture, organic matter content, water content, and nutrient status are attractive. Soil properties have been related to reflectance measured with laboratory, in-field, airborne, and satellite sensors. Both multispectral and hyperspectral instruments have been used, with both natural and artificial illumination. Varying levels of accuracy have been obtained, with the best results (r > 0.95) using hyperspectral reflectance data to estimate soil organic matter and water content.

• 무역학회지
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• 제45권4호
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• pp.171-194
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• 2020

Although there is a lot of literature on the effectiveness of regional trade agreements(RTAs), it is usually analyzed only using trade-related theories and data. However, this paper has a differentiation in that we examine the linkage between international trade and financial markets through the stock markets reactions when the trade agreements related news arrived. Specifically, using an event study, we look into the Korea-US free trade agreement(KORUS FTA) which is the most commercially significant FTA in almost two decades for both the countries. Korean stock market generally responded more sensitively to FTA news than the US stock market, especially in 'Auto & Parts', 'Electrical Equipment' and 'Chemicals' industries. And the investors' perception toward the effect of KORUS FTA on Korean industries changed from negative to positive as negotiations proceed. Korea has a comparative advantage in the production of labor-intensive goods relative to US, but the economies of scale hypothesis does not hold.

• 농촌계획
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• 제22권4호
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• pp.131-138
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• 2016

Recently, the cultivated area is reduced, the ratio of upland-field in the total cultivated area is increasing relative appeared in 36.2% in 1990 from 43.7% in 2013. If upland-field can be applied well designed-infrastructure, good income crop production is possible, however, maintenance of infrastructure and a significant portion of the upland-field is maintained under insufficient infrastructure. While imports of agricultural products expanded since the 2000s in progress, looking at the self-sufficiency of upland-field crops, it is reduced to from 90% to 42% for the pepper, it is from 90% to 74% for the garlic, cereals is reduced from 42% by 26%. As a result of these conditions, the competitiveness of farmers has weakened, the risk to meet the challenges of this area of production and supply reduction increased. This study was the first to conduct a basic evaluation index, data analysis and evaluation of indicators to diagnose the agricultural production capacity of the upland field. 12 kinds classified index of producing conditions from the natural environment and eight factors for the cultivation and production capabilities have developed for the assessment of productivity of upland-field (especially Kimchi cabbage). Through this regional imbalance was found, based on the production capabilities conditions are good in Haenam, Gangneung, Pyeongchang. 3 Regions have been low and the lowest Youngwol to 0.8992. Climate(Cultivation conditions) indicators of Mungyeong region is the highest, relatively low areas were in Taebaek. In particular, it is determined to be preferred that the area required for the enhancing the production environment based on providing the convenience for the producing and maintenance of the first production area. It is necessary Increasing part of mechanization, agro-industrial competitiveness through aggressive management plans for facilities as required in the process of post-harvest storage, processing, distribution line can be improved.

• 대한지리학회지
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• 제29권3호
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• pp.360-368
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• 1994

地理學에서는 地域의 特性을 규명하고자 수많은 計量的 分析手法을 사용하여 왔다. 본 고에서는 일종의 判別分析技法으로 최근에 도입된 CHAID技法을 사용하여 都市와 都市 機能에 관한 통계처리를 시도하였다. 2종류의 자료를 가지고 두 차례 처리를 실시하였는데, 하나는 인구 25만명 이상의 도시 20개를 예측변수로 하고, 行政, 市場, 金融機能 그리고 生 産機能을 반응변수로 하여 도시의 기능을 분류해 내었다. 두번째 처리에서는 앞서 언급한 행정, 시장, 금융, 생산기능 이외에 交通, 敎育, 의료, 文化, 그리고 運送機能의 9가지를 예측 변수로 선정하고, 수도권, 부산권, 대구권, 광주권, 충청권의 5개 권역을 반응변수로 하여 각 권역에서 탁월한 기능을 판별, 분류해 내었다. 이상에서 CHAID기법은 큰 양의 범주형 자료 를 처리할 수 있고, 樹形圖로 결과를 산출하여 해석이 용이하므로 地域을 分類하거나 특성 을 判別하는데 유용한 또 하나외 새로운 분석틀로 여겨진다.