• Title/Summary/Keyword: Quantitative estimate

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Comparing Carbon Reduction Estimates for Tree Species from Different Quantitative Models

  • Hyun-Kil Jo;Hye-Mi Park
    • Journal of Forest and Environmental Science
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    • v.39 no.3
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    • pp.119-127
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    • 2023
  • In this study, quantitative models were applied to case parks to estimate the carbon reduction by trees, which was compared and analyzed at the tree and park levels. At the tree level, quantitative models of carbon storage and uptake differed by up to 7.9 times, even for the same species and size. At the park level, the carbon reduction from quantitative models varied by up to 3.7 times for the same park. In other words, carbon reduction by quantitative models exhibited considerable variation at the tree and park levels. These differences are likely due to the use of different growth environment coefficients and annual diameter at breast height growth rates and the overestimation of carbon reduction due to the substitution of the same genus and group model for each tree species. Extending the annual carbon uptake per unit area of the case park to the total park area of Chuncheon a carbon uptake ranging from a minimum of 370.4 t/yr and a maximum of 929.3 t/yr, and the difference can reach up to 558.9 t/yr. This is equivalent to the carbon emissions from the annual household electricity consumption of approximately 2,430 people. These results suggest that the indiscriminate application of quantitative models to estimate carbon reduction in urban trees can lead to significant errors and deviations in estimating carbon storage and uptake in urban greenspaces. The findings of this study can serve as a basis for estimating carbon reduction in urban greening research, projects, and policies.

Demand Forecasting for B2B Electronic Products : The Case of Personal Computer Market (B2B 전자제품 수요예측 모형 : PC시장 사례)

  • Moon, Jeongwoong;Chang, Namsik;Cho, Wooje
    • Journal of Information Technology Services
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    • v.14 no.4
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    • pp.185-197
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    • 2015
  • As the uncertainty of demand in B2B electronics market has increased, firms need a strong method to estimate the market demand. An accurate prediction on the market demand is crucial for a firm not to overproduce or underproduce its goods, which would influence the performance of the firm. However, it is complicated to estimate the demand in a B2B market, particularly for the private sector, because firms are very diverse in terms of size, industry, and types of business. This study proposes both qualitative and quantitative demand forecasting approaches for B2B PC products. Four different measures for predicting PC products in B2B market with consideration of the different PC uses-personal work, common work, promotion, and welfare-are developed as the qualitative model's input variables. These measures are verified by survey data collected from experts in 139 firms, and can be applied when individual firms estimate the demand of PC goods in a B2B market. As the quantitative approach, the multiple regression model is proposed and it includes variables of region, type of industry, and size of the firm. The regression model can be applied when the aggregated demand for overall domestic PC market needs to be estimated.

Quantitative Estimation of the Precipitation utilizing the Image Signal of Weather Radar

  • Choi, Jeongho;Lim, Sanghun;Han, Myoungsun;Kim, Hyunjung;Lee, Baekyu
    • Journal of Multimedia Information System
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    • v.5 no.4
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    • pp.245-256
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    • 2018
  • This study estimated rainfall information more effectively by image signals through the information system of weather radar. Based on this, we suggest the way to estimate quantitative precipitation utilizing overlapped observation area of radars. We used the overlapped observation range of ground hyetometer observation network and radar observation network which are dense in our country. We chose the southern coast where precipitation entered from seaside is quite frequent and used Sungsan radar installed in Jeju island and Gudoksan radar installed in the southern coast area. We used the rainy season data generated in 2010 as the precipitation data. As a result, we found a reflectivity bias between two radar located in different area and developed the new quantitative precipitation estimation method using the bias. Estimated radar rainfall from this method showed the apt radar rainfall estimate than the other results from conventional method at overall rainfall field.

Towards Quantitative Assessment of Human Exposures to Indoor Radon Pollution from Groundwater

  • Donghan Yu;Lee, Han-Soo
    • Journal of Korean Society for Atmospheric Environment
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    • v.17 no.E2
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    • pp.43-51
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    • 2001
  • A report by the national research council in the United States suggested that many lung cancer deaths each year be associated with breathing radon in indoor air. Most of the indoor radon comes directly from soil beneath the basement of foundations. Recently, radon released from groundwater is found to contribute to the total inhalation risk from indoor air. This study presents the quantitative assessment of human exposures to radon released from the groundwater into indoor air. At first, a three-compartment model is developed to describe the transfer and distribution of radon released from groundwater in a house through showering, washing clothes, and flushing toilets. Then, to estimate a daily human exposure through inhalation of such radon for an adult. a physiologically-based pharmacokinetic(PBPK) model is developed. The use of a PBPK model for the inhaled radon could provide useful information regarding the distribution of radon among the organs of the human body. Indoor exposure patterns as input to the PBPK model are a more realistic situation associated with indoor radon pollution generated from a three-compartment model describing volatilization of radon from domestic water into household air. Combining the two models for inhaled radon in indoor air can be used to estimate a quantitative human exposure through the inhalation of indoor radon for adults based on two sets of exposure scenarios. The results obtained from the present study would help increase the quantitative understanding of risk assessment issues associated with the indoor radon released from groundwater.

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ON QUANTITATIVE TWO WEIGHT ESTIMATES FOR SOME DYADIC OPERATORS

  • Chung, Daewon
    • East Asian mathematical journal
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    • v.38 no.3
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    • pp.339-346
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    • 2022
  • In this paper, a comparison of two types of quantitative two weight conditions for the boundedness of the dyadic paraproduct and the commutator of the Hilbert transform is provided. In the case of the commutator [b, H], the conditions of the well-known Bloom's inequality [2] and the slightly different types of two weight inequality introduced in [1] are compared around the A2-conditions on weights and the novel conditions on the function b.

Study on the introduction and assessment of the Life Cycle Carbon Emissions in Office Buildings

  • Park, Mincho;Lee, Byeongho;Shin, Sung-Woo
    • KIEAE Journal
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    • v.14 no.1
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    • pp.49-57
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    • 2014
  • Global warming has become a major issue all over the world. Noting the carbon dioxide emissions as a main contributor to global warming, we studied on the methods to reduce the life cycle building carbon emissions. Green Building Certification Criteria(GBCC) has been implemented since 2002 in Korea, but it doesn't estimate the quantities of the $CO_2$ emissions. Therefore, we studied the ways to implement the $CO_2$ emissions in quantity to GBCC. We select a government building which was rated excellent by the GBCC. This office building was regarded to excellent building by GBCC but not good for energy consumption. It was found energy glutton buildings for research by the Ministry of Public Administration and Security in 2010. This part of GBCC is need to be improved.. Also LCA (Life Cycle assessment) was carried out to estimate on carbon footprint on this office building. So we need to implementing quantitative evaluation on the amount of carbon emissions by GBCC. And it is possible to implementing quantitative evaluation on the amount of carbon emissions. Through this study, we expect that quantitative assessment of life cycle carbon emissions of buildings by the GBCC. Also expect to reduce the carbon emissions of the building by improving the GBCC.

An Ergonomic Research on Injurious Factors Causing Musculoskeletal Disorders at a Bakery Workplace (인간공학적 접근을 통한 제빵업의 근골격계 질환 유해요인 조사)

  • 양성환;조문선;강필
    • Journal of the Korea Safety Management & Science
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    • v.6 no.2
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    • pp.35-48
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    • 2004
  • The purpose of this study is to find injurious factors and to propose an improvement plan on workers' musculoskeletal disorders at a bakery workplace through analyzing the symptom, work posture and quantitative estimate. For this study, a survey and ergonomic estimate methods were adopted. According to the survey, it was analyzed that 429 workers corresponding to 68.2% of the response have been experienced the symptoms of musculoskeletal disorders such as an ache, prickle and numbness. The result of QEC analysis shows that shoulder and waist are highly exposed to musculoskeletal disease. The result of RULA analysis shows that injurious factors of muscle, weight and repeated operations are a little higher than those of operation posture. The result of SI estimate shows that pre-treatment of making bread requiring highly repeated operation gets the highest point of 81, on the other hand, chocolate-coating job requiring relatively low speed and short time gets the point of 4.5. Based on the analyzed results, improvement plan to prevent the musculoskeletal disorders against injurious working process of a bakery workplace. The goal of this study is to propose the improved scheme that prevents the workers against musculoskeletal disorders. A questionnaire and an ergonomic assessment method were adopted to analyze the symptoms of workers' musculoskeletal disorders, and an analysis of working postures and a quantitative assessment on various processes were performed to find out harmful factors of workplace.

A Comparison of Wearing Evaluation Method for Bodice Pattern - Focusing on Obese Boys of School Year - (의복원형 설계의 착의 평가방법 비교 - 학령기 비만 남아를 중심으로 -)

  • Jo, Youn-Joo;Lee, Jeong-Ran
    • Fashion & Textile Research Journal
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    • v.4 no.4
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    • pp.383-393
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    • 2002
  • The purpose of this study was to evaluate wearing evaluation method in order to propose well fitted bodice pattern. For this study, the subjects were drawn from obese boys at the ages 9 to 11. Wearing evaluation had use of 3 bodice type and 3 evaluative method. The appearance evaluation was to evaluate subjects by professional group. The functional evaluation was to valued subjects by self-evaluation. The quantitative evaluation was to estimate subjects through Electomyograph. Wearing evaluation was done through questionnaire of 32 item in objectivity, 36 item in subjectivity, and 36 item in quantity. The data were analyzed by using ANOVA. From wearing evaluation, appearance and functional evaluation had significant most of them but quantitative evaluation had not significant. It was known that the human sense was more sensitive the quantitative mechanism. And its obtained by both functional evaluation and quantitative evaluation, respectively was found to be significantly correlated, Independent relation was observed in the results from both appearance evaluation and functional evaluation as well as from both functional evaluation and quantitative evaluation. Therefore, we propose that it is proper to evaluate the propriety of bodice pattern for obese boys of school year, mutually compromising both appearance evaluation and functional evaluation or both functional evaluation and quantitative evaluation.

A Quantitative Model of System-Man Interaction Based on Discrete Function Theory

  • Kim, Man-Cheol;Seong, Poong-Hyun
    • Nuclear Engineering and Technology
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    • v.36 no.5
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    • pp.430-449
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    • 2004
  • A quantitative model for a control system that integrates human operators, systems, and their interactions is developed based on discrete functions. After identifying the major entities and the key factors that are important to each entity in the control system, a quantitative analysis to estimate the recovery failure probability from an abnormal state is performed. A numerical analysis based on assumed values of related variables shows that this model produces reasonable results. The concept of 'relative sensitivity' is introduced to identify the major factors affecting the reliability of the control system. The analysis shows that the hardware factor and the design factor of the instrumentation system have the highest relative sensitivities in this model. T도 probability of human operators performing incorrect actions, along with factors related to human operators, are also found to have high relative sensitivities. This model is applied to an analysis of the TMI-2 nuclear power plant accident and systematically explains how the accident took place.