• 제목/요약/키워드: e-Science Environment

검색결과 2,212건 처리시간 0.03초

Evaluation of Iron and Zinc Content in Rice Germplasms

  • Lee, Jeom-Ho;Lee, Kyu-Seong;Hwang, Hung-Goo;Yang, Chang-Ihn;Lee, Sang-Bok;Choi, Young-Hwan;Jeong, O-Young;Virk, Parminder
    • 한국육종학회지
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    • 제40권2호
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    • pp.101-105
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    • 2008
  • The germplasm of 246 rice cultivars was analysed for iron and zinc contents using a Inductively Coupled Argon Plasma (ICP) at International Rice Research Institute (IRRI) Philippines. Iron contents ranged from 2.0 to 12.0, and zinc ranged from 10.0 to 33.0 (mg/kg), showing with the mean values of 4.3 and 22.8 (mg/kg), respectively. In genotypes tested, there was approximately a two-fold difference in iron and zinc concentrations, suggesting a genetic potential to increase these micronutrients in rice grain. A highly significant positive correlation ($r^2=0.503$) was found between iron and zinc contents. Iron contents decreased drastically as polishing time increased, whereas zinc decreased only slightly. In the interaction between genotype and environment on iron contents, genotype (G), environment (E), and the G ${\times}$ E interactions accounted for 69%, 5% and 26% of the sums of squares, respectively. Indicating that genotype is would be the most significant factor for the to improve iron contents of rice in rice breeding, suggesting that therefore identifying genotypes with relatively stable performance across various environments is important as staple food crops.

e-Business 환경에서 e-Business 인력의 능력 측정을 위한 방법론 (A Methodology to Measure e-HR Capability in an e-Business Environment)

  • 배영주;정순석;유지철
    • 대한안전경영과학회지
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    • 제11권4호
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    • pp.293-300
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    • 2009
  • 기업 인력의 e-Business 적용 능력은 e-Business 환경에서 개인에게 주어진 업무를 효율적으로 수행하고 업무성과를 향상하기 위해 필요하다. 본 연구는 e-Business 인력의 측정도구, 측정체계 및 방법을 제시한다. 개발된 측정도구는 요인분석과 신뢰성 분석을 통하여 그 구조의 타당성을 검증하였고, e-Business 인력을 효과적으로 측정할 수 있는 16 개의 측정항목을 갖는 측정 도구를 제시하였다. 개발된 측정도구의 적용성과 활용성은 실제 e-Business 환경의 기업에서 근무하는e-Business 인력에 적용하여 그 결과를 제시함으로써 확인 하였다. 본 연구는 e-Business 환경의 기업에서 근무하는 인력의 e-Business 능력을 측정하고 개선하는 방법론을 개발하는 데 공헌할 것이다.

Assessment of drinking water quality and its health impact on local community in coastal belt Karachi

  • Samo, Saleem Raza;Channa, Raja Siraj Ahmed;Mukwana, Kishan Chand
    • Advances in environmental research
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    • 제6권3호
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    • pp.203-216
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    • 2017
  • For survival of human beings clean water is an essential commodity whereas contamination in drinking water threatens to mankind. The main cause of water contamination is social and development activities of human being along with increasing population. The community in the study area has acute shortage of drinking water along with about 40 to 60% has no access to safe drinking water. This study indicates drinking water quality of two major sources of coastal belt of Karachi one is supplied by Karachi Water & Sewerage Board (KWSB) as tap water and the other through groundwater. The physicochemical analysis was carried out by following the standard methods for checking the quality of drinking water. The analyzed results showed that the quality of groundwater was unfit as potable water. The most critical situation was observed as high level of contamination followed by high turbidity and increased salinity levels. TDS in surface water were found 12% above and TDS in groundwater was 20% below the National Drinking Water Quality Standards (NDWQS) of Pakistan as well as the permissible WHO drinking water quality guidelines.

The External Benefits of Research and Development Investment in Waste-to-Energy Technology in Korea

  • Lim, Seul-Ye;Kim, Hyo-Jin;Yoo, Seung-Hoon
    • Asian Journal of Innovation and Policy
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    • 제5권2호
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    • pp.208-224
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    • 2016
  • The Korean government considers expanding the WtE share of total energy from 1% to 5% by 2020 through research and development (R&D) in waste-to-energy (WtE) technologies. This study attempts to measure the external benefits of investing in R&D in these technologies. To this end, a contingent valuation (CV) is employed. More specifically, a 2016 national survey of randomly selected 1,000 households was carried out across the nation to gauge the willingness to pay (WTP) for the investment. One-and-one-half-bounded dichotomous choice question was used in the CV survey, and the spike model was applied to dealing with zero WTP responses. The mean yearly WTP is estimated to be KRW 4,175 (USD 3.57) per household, which is statistically significant at the 1% level. Expanding the value to the entire nation translates into an investment of about KRW 79.1 billion (USD 67.6 million), which can be interpreted as the annual external benefit of the R&D investment in WtE technology.

Washout Removal Efficiencies of Major Air Pollutants by Precipitation

  • Kim, Dong-Sool;Lim, Deuk-Yong;Heo, Jeong-Sook
    • Journal of Korean Society for Atmospheric Environment
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    • 제18권E2호
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    • pp.97-106
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    • 2002
  • The purpose of this study was to quantitatively estimate the washout removal efficiencies of criteria air pollutants such as SO$_2$, TSP, PM10, CO, NO$_2$, and O$_3$corresponding to the amounts and durations of precipitation. The removal patters by washout were studied with air pollutants data and the corresponding precipitation data in Seoul, Korea during the periods of 1990 to 1999. In addition, washout patterns were classified into four seasons and four time Bones, i.e., night, morning, afternoon, and evening. In this study, natures of air pollutants by sequential precipitation were also intensively studied by examining the linear relationships between removal efficiencies and the amounts and durations of precipitation for each pollutant. The results of this study showed that SO$_2$, TSP, and O$_3$were rapidly removed by initial precipitation; however, NO$_2$was slowly removed 2-hour after precipitation. Both CO and PM10 were weakly removed by washout and their removal patters showed to be irregular.

APEX(Agricultural Policy/Environmental eXtender) Model: An Emerging Tool for Agricultural Environmental Analyses

  • Kim, Min Kyeong;Choi, Soon Kun;Jung, Goo Buk;Kim, Myung Hyun;Hong, Seong Chang;So, Kyu Ho;Jeong, Jae Hak
    • 한국토양비료학회지
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    • 제47권3호
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    • pp.187-190
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    • 2014
  • The agricultural policy/Environmental eXtender (APEX) model was developed by the Blackland Research and Extension Center in Temple, Texas. APEX is a flexible and dynamic tool that is capable of simulating a wide array of management practices, cropping systems, and other land uses across a broad range of agricultural landscapes, including whole farms and small watersheds. The model can be configured for novel land management strategies, such as filter strip impacts on pollutant losses from upslope crop fields, vegetated grassed waterways in combination with filter strip impacts, and land application of manure removed from livestock feedlots or waste storage ponds. The APEX model has continually evolved since its inception, and the process of adaptation and modification will likely continue as use of the model expands for an ever-increasing range of environmental problems and conditions. Several improvements to specific model subroutines have already been initiated, while other potential improvements have been identified that will require future research and code modification efforts.

확률분포모형을 이용한 하루살이속(Ephemera) 종들의 물리적 미소서식처 적합도 평가 (Estimation on Physical Microhabitat Suitability for Species of the Mayfly Genus Ephemera (Ephemeroptera: Ephemeridae) Using Probability Distribution Models)

  • 공동수;송재하
    • 한국물환경학회지
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    • 제39권5호
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    • pp.396-412
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    • 2023
  • Species from the mayfly genus Ephemera (Order Ephemeroptera) was assessed for their physical microhabitat suitability (namely E. strigata, E. separigata, and E. orientalis-sachalinensis). Probability distribution models (Exponential, Normal, Lognormal, Logistic, Weibull, Gamma, Beta, and Gumbel) based on the data collected from 23,957 sampling units of 6,787 sites in Korea from 2010 to 2021 were used. Mode and standard deviation calculated from the best-fitting models to species distribution along a water depth gradient were 265 cm and 159 cm in E. orientalis-sachalinensis; 10 cm and 83 cm in E. strigata; 20 cm and 15 cm in E. separigata, respectively. The current velocity gradient was 22 cm/s and 40 cm/s in E. orientalis-sachalinensis; 60 cm/s and 53 cm/s in E. strigata; 82 cm/s and 25 cm/s in E. separigata, respectively. The mean diameter (phi scale) of substrate grains were -3.6 and 2.2 in E. orientalis-sachalinensis; -7.4 and 1.5 in E. strigata; -5.8 and 0.9 in E. separigata, respectively. Habitat suitability range of E. orientalis-sachalinensis was estimated to be 161~369 cm (water depth), 5~44 cm/s (current velocity), -5.2~-2.0 (mean diameter); 3~34 cm (water depth), 36~94 cm/s (current velocity), -8.1~-6.3 (mean diameter) for E. strigata; 12~32 cm (water depth), 63~96 cm/s (current velocity), -6.3~-5.2 (mean diameter) for E. separigata. In relative comparison, E. orientalis-sachalinensis was estimated to be rheophobic, eurybathophilic, and eurypsephophilic; E. strigata to be euryrheophilic, bathophobic, and lithophilic; E. separigata to be stenomesorheophilic, stenobathophobic, stenolithophilic.

e-Science를 위한 웹 기반 병렬 문제 해결 환경의 설계 및 구현 (Design and Implementation of Web-Oriented Parallel Problem Solving Environment for e-Science)

  • 김희운;전경원;김형규;정영주
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2009년도 추계학술발표대회
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    • pp.229-230
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    • 2009
  • e-Science는 차세대 가상 협업 연구 패러다임으로, 필요한 연구 자원들을 융합하여 연구자들에게 제공함으로써 언제 어디서든지 자유롭게 협동 연구를 할 수 있도록 하는 환경 또는 연구 활동 그 자체를 의미한다. 이러한 e-Science의 필수 요소들 중 하나로 문제 해결 환경을 들 수 있는데, 문제 해결 환경이란 어떤 특정 영역의 문제를 풀기위해 필요한 모든 계산 자원을 제공하는 하나의 컴퓨터 시스템을 말한다. 본 논문에서는 e-Science 환경을 위한 웹 기반의 병렬 문제 해결 환경을 제안한다. 이 시스템은 전자기파 관련 분야의 전산모사를 병렬로 수행하며, 웹 기반의 인터페이스를 제공한다.

Intelligent Automated Cognitive-Maturity Recognition System for Confidence Based E-Learning

  • Usman, Imran;Alhomoud, Adeeb M.
    • International Journal of Computer Science & Network Security
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    • 제21권4호
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    • pp.223-228
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    • 2021
  • As a consequence of sudden outbreak of COVID-19 pandemic worldwide, educational institutes around the globe are forced to switch from traditional learning systems to e-learning systems. This has led to a variety of technology-driven pedagogies in e-teaching as well as e-learning. In order to take the best advantage, an appropriate understanding of the cognitive capability is of prime importance. This paper presents an intelligent cognitive maturity recognition system for confidence-based e-learning. We gather the data from actual test environment by involving a number of students and academicians to act as experts. Then a Genetic Programming based simulation and modeling is applied to generate a generalized classifier in the form of a mathematical expression. The simulation is derived towards an optimal space by carefully designed fitness function and assigning a range to each of the class labels. Experimental results validate that the proposed method yields comparative and superior results which makes it feasible to be used in real world scenarios.