• Journal of KIISE:Software and Applications
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• v.31 no.5
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• pp.651-657
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• 2004

This paper proposes incremental LR parsers which are constructed by using pre-determinable reduction goal. The new method requires a relatively small number of memory space and computing time compared to the previous methods.

• Korean Journal of Community Nutrition
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• v.20 no.4
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• pp.281-290
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• 2015

Objectives: Obesity is known to influence physical and mental health as well as the general quality of life. The aim of this study was to evaluate the effect of obesity related quality of life on selecting a goal for weight management in overweight and obese female patients. Methods: A total of 140 overweight or obese (Body mass index $23kg/m^2$) female outpatients aged ${\geq}20$ and ${\leq}60$ years from one clinic participated in this study. Patients' desired weight (goal weight, ideal weight, satisfactory weight, acceptable weight and disappointed weight) and obesity related quality of life measures were evaluated. Univariate and multivariate analysis were performed to evaluate the effect of obesity related quality of life on goal weight reduction (%) and goal body mass index (BMI). Results: Mean BMI of overweight group, mild obesity group and severe obesity group were $62.0{\pm}4.8kg$, $68.5{\pm}5.5kg$ and $83.5{\pm}9.6kg$, respectively. Mean weight loss expectations of the three groups were $16.4{\pm}4.7%$, $19.5{\pm}5.3%$ and $30.2{\pm}6.8%$, respectively and goal weight was significantly different among the three groups. Severe obesity group had a lower total quality of life score including physical, work-related, daily living domains than overweight or mild obesity groups. In univariate and multivariate regression analysis, psychosocial domain of quality of life had an effect on goal weight reduction (%) and goal BMI. Conclusions: The results of this study demonstrated that the obese patients with poorer quality of life and psychosocial health tended to choose higher goal weight reduction and lower goal BMI.

• Journal of Korean Society of Water and Wastewater
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• v.35 no.2
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• pp.121-133
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• 2021

This study set up the estimates of leakage management efficiency evaluation and leakage management goal that could be used in local water distribution networks efficiency business and modernization business. The data were analyzed using data envelopment analysis and multiple regression analysis. To this end, with leakage management input indices concerning leakage reduction activities (e.g., aged pipe replacement, water meter replacement, leakage restoration, and leakage detection) and leakage management calculation indices (e.g., the increase of revenue water ratio and the reduction of leakage ratio), the data on 22 K-water consignment local water supply systems were analyzed for the years from 2004 through 2018. Using the results of efficiency analysis by data envelopment analysis, the other DMUs (Decision Making Unit) benchmarked the DMU with the highest efficiency to maximize the leakage management efficiency for all DMUs. Through this, leakage management goal estimates were drawn with the input indices of four leakage reduction activities and calculation indices of the increase of revenue water ratio and the reduction of leakage ratio by multiple regression analysis for each group based on the revenue water ratio and leakage ratio. The correlation coefficients of the leakage management goal estimate for the criteria for the revenue water ratio amounted to 0.553 and 0.771. The correlation coefficients of the leakage management goal estimate for the criteria for leakage ratio were 0.397 and 0.865. Accordingly, we estimated the quantity and priority of four leakage reduction activities for the target leakage ratio and revenue water ratio.

• Journal of Climate Change Research
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• v.8 no.4
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• pp.313-327
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• 2017

Korea has introduced Korea Emissions In 2015, the United Nations Conference on Climate Change (COP21) was held in Paris. The Paris Agreement indicates that all nations are in charge of mitigating climate change. Prior to COP21, 197 Parties submitted the Nationally Determined Contributions (NDCs), which are greenhouse gas reduction targets. On June 30, 2015, Korea also submitted an NDC target of 37% reduction compared to BAU in 2030. However, Korea's NDC was evaluated as "Inadequate" by the Climate Action Tracker (CAT). In addition, the domestic environmental group expressed a negative opinion as well. In view of this situation, it is necessary to conduct an objective assessment of quantitative analysis of NDC goals in Korea. The goal of this study is to evaluate NDC of Korea by comparing with those of OECD member countries. For comparative analysis, data such as population, GDP, primary energy supply affecting GHG emissions were obtained from the OECD homepage. The results indicate that emission reduction goal of 37% of Korea was $4^{th}$ highest goal among OECD member countries. If Korea achieves the emission reduction goal, the greenhouse gas emissions per capita in 2030 are $10^{th}$among OECD member countries. The greenhouse gas emissions per GDP are $13^{th}$, and emissions per TOE are $9^{th}$ among OECD member countries. The results show that greenhouse gas intensity of Korea is relatively high among OECD member countries. Therefore, it is needed to continuously endeavor to reduce greenhouse gas emissions to mitigate the global climate change. This study can be further used as a fundamental document to establish the future greenhouse reduction policy in Korea.

• Journal of KIISE:Software and Applications
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• v.30 no.5_6
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• pp.461-465
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• 2003

The technique of reduction goal prediction in LR parsing has several applications such as the computation of right context. An LR parser generating the set of pre-determined reduction goals was previously suggested. The set approach is nondeterministic, and so it is inappropriate in some applications. This paper suggests a deterministic technique to give a uniquely predictable reduction symbol.

• Journal of Korean Society on Water Environment
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• v.28 no.6
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• pp.859-865
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• 2012

It is necessary to evaluate performances hitherto carried out in the management of Total Maximum Daily Loads (TMDLs) and to set up direction so that this system can be improved continuously in the future. This study was investigated load allocation achievement ratio, water quality goal achievement ratio and interrelation between water quality goal and load allocation for the first period (2004~2010). Load allocation achievement and BOD water quality goal achievement ratio were 50% and 73% in Guem River Basin, respectively. The main reason for excess of load allocation and shortfall of water quality goal were unfulfilled reduction plan and pollution sources increment. Therefore, it is necessary to develop enhanced pollution sources prediction method and make a list realizable reduction plan. 63% of the unit watershed was not interrelation between water quality goal and load allocation. The reason why water quality goal and load allocation had not correlation were water quality of upper unit watershed, increment of inflow quantity, effluent water quality of wastewater treatment plant affected the unit watershed, increment of inner productivity by algae, water quality deterioration during the specific period, river management flow, etc.

• Journal of the Korean Institute of Rural Architecture
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• v.26 no.2
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• pp.9-16
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• 2024

In order to achieve carbon neutrality in the architectural field by 2050, this study analyzed the energy impact proportional to CO2 emissions of each technique, such as design methods, the properties of building structures, prefabrication methods, passive houses, and active facilities. In addition, the results were presented quantitatively in terms of carbon reduction, and corresponding housing cases were analyzed. The research method is limited to residential buildings at the Passive House energy level, and carbon reduction techniques and elements in architecture are examined through various literature and materials, and empirical cases are analyzed to determine the specific possibility of realizing carbon reduction in architecture. We want to secure it. Based on these analysis results, it was possible to suggest that it is possible to explore various approaches to carbon reduction in future residential construction. By combining the most efficient techniques according to the energy reduction level or goal setting of the building in question, we expect the possibility of achieving the goal of carbon reduction in the residential sector more realistically.

• Journal of Korean Society of Water and Wastewater
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• v.19 no.5
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• pp.557-564
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• 2005

The objective of this study is to evaluate a criteria of intercepting capacity and a reduction goal of overflow pollution load in combined sewer system. In the current criteria of intercepting capacity in the domestic sewage facility standard, it is known that three times of peak sewage (Q) in dry period or runoff flow by 2mm/hr is not appropriate since the intercepted flow is estimated by runoff and show different result even in the same watershed. Though a reduction goal of overflow pollution load can be determined from 1) same level of storm-water runoff pollution load in separated storm sewer, 2) less than 5% sewage load in dry weather period, by the domestic sewage facility standard, the simulated results from storm-water model show large differences between two criteria. While it is predicted that sewage pollution load standard three time larger than separated storm sewer standard in high population density and urbanized area, it is shown that separate storm sewer standard larger than sewage pollution load standard in middle population density and developing area. Accordingly, it is proposed that more reasonable intercepting flow and reduction goal of overflows pollution load should be established to minimize discharging pollution load in combined sewer systems. For the purpose, a resonable standard has to be amended by pollution load balance considering the characteristics of a watershed for generation, collection, treatment, and discharging flow.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.18 no.1
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• pp.146-153
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• 2004

This paper presents the method for the placement and operation of dispersed generator systems(DGs) using fuzzy goal programming in distribution systems. For the placement and operation of DGs the problem is formulated with reduction of search spaces and flexibility of system situations. Especially, the original objective function and constraints are transformed by fuzzy goal programming to evaluate their imprecise nature for the criterion of power loss minimization, the number or total capacity of DGs and the bus voltage deviation, and then solve the problem using genetic algorithm.

• Proceedings of the Safety Management and Science Conference
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• 2005.05a
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• pp.225-230
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• 2005

A study is for the approach that we could reduce the logistics costs through uprising the efficiency, complying to the demand in time, stock management based on the general production plan in the point of SCM. We will take following steps to get the goal. First, we will overview the physical distribution expenses annually. Second, will find the main cause of optimal load loss by improper container and lack of delivery flexibility to the demand. Third, the goal will be inferred through the fast information share based on organic relationship, the establishment of general production plan, the improvement of stock management plan. By way of this process, it can be accomplished expense reduction as well as flexible establishment of the reduction of worker's load.