This research adopted a Robust Decision Making framework to re-evaluate four alternative strategies proposed by the Comprehensive Flood Management Plan for the Yeongsan River Basin report (MLTM, 2005) considering uncertainties of future floods under condition of climate change. To reflect the uncertainties, multiple sets of future flood scenarios were used with three uncertainty factors: the change in rainfall intensity based on the RCP climate change scenarios and the changes in the temporal and the spatial flood distributions. With combinations of these factors, 216 plausible flood scenario sets were generated and the performances of the four alternatives under different future states were evaluated. From the results, the most robust alternative among the strategies was identified. Moreover, the key factors which made the tested alternatives poor were discovered through assessment of the uncertainty factors. This information can provide detailed insights to decision makers and can be utilized to overcome alternatives' potential vulnerabilities by modifying the strategy to be more robust.
Korean Journal of Construction Engineering and Management
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v.18
no.3
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pp.42-51
/
2017
Measuring and evaluating project progress and performance are the key element of the construction project success. Construction progress is typically measured quantitatively by evaluating cost and time allocated to the project deliverable, and thus properly integrating cost and time is essential to the project management. This research was performed to propose an alternative methodology to integrate the cost and time and provide a framework for the progress measurement. The researchers developed a typical work process for the cost and schedule planning and also developed an alternative cost-schedule integration method by using progress integration units (PIU). A discipline of a construction phase served as a common level for WBS and CBS integration, so the PIUs'were defined under discipline. A case study project was selected to validate the developed methodology. The result showed the proposed method improved efficiency of cost and time integration. The result also showed the excluding material for the progress measurement purpose significantly reduced the bias of progress measurement.
This paper presents a two-phase quantitative framework to aid the decision making process for effective selection of an efficient freight logistics hub from 8 alternatives in Thailand on the North-South economic corridor. Phase 1 employs both multiple regression and Pearson Feature selection to find the important criteria, as defined by logistics hub score, and to reduce number of criteria by eliminating the less important criteria. The result of Pearson Feature selection indicated that only 5 of 15 criteria affected the logistics hub score. Moreover, Genetic Algorithm (GA) was constructed from original 15 criteria data set to find the relationship between logistics criteria and freight logistics hub score. As a result, the statistical tools are provided the same 5 important criteria, affecting logistics hub score from GA, and data mining tool. Phase 2 performs the fuzzy stochastic AHP analysis with the five important criteria. This approach could help to gain insight into how the imprecision in judgment ratios may affect their alternatives toward the best solution and how the best alternative may be identified with certain confidence. The main objective of the paper is to find the best alternative for selecting freight logistics hub under proper criteria. The experimental results show that by using this approach, Chiang Mai province is the best place with the confidence interval 95%.
Purpose: This study aims to analyze the factors affecting the agenda-setting process and the formation process of school-based mental health policies by applying a policy stream model. Methods: For this purpose, Kingdon's policy stream model was used as the analytical framework. Results: First, when establishing a school-based mental health policy, the agenda was set going through unpredictable and nonlinear changes. Second, for the school-based mental health policy to be selected onto the agenda and to be developed and implemented as an actual policy, the role of policy makers was considered most important in the process. Third, the policy window for school-based mental health policy was closed around the year 2013. Finally, an analysis of the school-based mental health policy stream identified two key features. One is that the school-based mental health policy first emerged when school violence prevention policy expanded its scope into relevant neighboring policies. The other is that the school-based mental health policy has taken shape through a linear decision-making process (being put on the government's agenda, searching for an alternative, selection, and implementation) during the policy implementation period after it has been selected as an alternative policy. Conclusion: Conclusions can be summed up as follows. The school-based mental health policy needs continuous development and improvement in case the window for the policy may open in the coming future. The government's support is needed to draw policy makers' interest and participation who play the biggest role in establishing policies.
Park, Chang Won;Kim, Sebin;Lee, Junwoo;Lee, Bohwi;Gim, Uhn-soon;Koo, Seungmo
Journal of Korean Society of Rural Planning
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v.25
no.2
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pp.1-13
/
2019
The rural development policies and projects in Korea has been implemented with various related acts. For instance, these acts include Framework Act on the National Land, National Land Planning Utilization Act, Special Act on Balanced National Development, etc, enacted by each of adminstration. However, there are some limitations to encourage the variety of rural development policies due to duplication and overlapping between the relevant acts. Nowadays, the fields of rural development have been evolved and integrated not only by agricultural infrastructures but also in various fields such as multi-functional industry including rural tourism, green care, and cultural welfare, etc. Therefore, the current legal system may not effectively accept and support in various rural development policies and projects at all. This study tried to figure out the necessity of reorganization related legal system through the field survey to planners, residents and analysts regarding the correlation between legal systems and projects. For these reasons, this study tried to find out the problem of current legal system and then, suggested alternative methods related to the legal system for integrated rural development. The scope of the study is as follows; 1)correlation analysis between relevant laws and rural development projects. 2)field survey to figure out the legitimacy and validity for the reorganization of the legal system. At last the result of the research has suggested an alternative method to reorganize the legal system and proposed the new legal system with is good for integrated rural development.
SiYeoul Lee;Seonho Kim;Dongeon Lee;ChunSu Park;MinWoo Kim
Journal of Biomedical Engineering Research
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v.44
no.4
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pp.255-263
/
2023
Clinical ultrasound (US) is a widely used imaging modality with various clinical applications. However, capturing a large field of view often requires specialized transducers which have limitations for specific clinical scenarios. Panoramic imaging offers an alternative approach by sequentially aligning image sections acquired from freehand sweeps using a standard transducer. To reconstruct a 3D volume from these 2D sections, an external device can be employed to track the transducer's motion accurately. However, the presence of optical or electrical interferences in a clinical setting often leads to incorrect measurements from such sensors. In this paper, we propose a deep learning (DL) framework that enables the prediction of scan trajectories using only US data, eliminating the need for an external tracking device. Our approach incorporates diverse data types, including correlation volume, optical flow, B-mode images, and rawer data (IQ data). We develop a DL network capable of effectively handling these data types and introduce an attention technique to emphasize crucial local areas for precise trajectory prediction. Through extensive experimentation, we demonstrate the superiority of our proposed method over other DL-based approaches in terms of long trajectory prediction performance. Our findings highlight the potential of employing DL techniques for trajectory estimation in clinical ultrasound, offering a promising alternative for panoramic imaging.
Purpose - This paper is an empirical investigation of the mediation effect of innovation activity in industry transformation considering the relationship between the semiconductor industry and high-quality economic development. The research questions are whether the semiconductor industry drives high-quality economic development and if so, what is the semiconductor industry's role in high-quality development? We found that the semiconductor industry has clearly improved the quality of economic development, and its comparative advantage has significantly increased per capita national incomes. Furthermore, innovation activity proved to be an intermediary factor for the semiconductor industry to promote high-quality economic development. The world economy should aim to reasonably develop the international semiconductor industry and cultivate innovation markets. Design/methodology - Our empirical model considers the relationship between the semiconductor industry, innovation activity, and high-quality economic development. We constructed an analysis framework based on data from 199 World Bank economies between 1995 and 2019, and we used a mediation effect method to calculate the total effect of the semiconductor industry on promoting high-quality economic development, the indirect effect of the semiconductor industry on promoting innovation activity, and the mediation effect of these innovation activities on the promotion of high-quality economic development. Findings - The results show that the semiconductor industry has significantly promoted high-quality economic development. This is true even after the robustness test of grouping and alternative variables was applied. An analysis of the mechanism shows that promoting patents, scientific research, efficient government, and urban management innovation are important mechanisms for the semiconductor industry to release high-quality development dividends. Originality/value - Although it has been shown that specific industries like semiconductors can affect high-quality economic development through industrial upgrading, few researchers have attempted to empirically test the impact of the semiconductor industry on high-quality economic development. In this paper, we use a mediation effect model, alternative variables and a grouping test to find the internal mechanisms of the comparative advantage of the semiconductor industry in high-quality economic development from the perspective of innovation activity.
Journal of the Korea Academia-Industrial cooperation Society
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v.21
no.1
/
pp.138-147
/
2020
The construction field is one of the most representative job creation businesses, but it has been pointed out that the overall quality of the jobs is low because of the nature of the order-made production industry, such as unstable employment structure, aging workforce, etc.. Accordingly, the government plans to implement the "prevailing wage system" that guarantees a minimum wage for construction site workers. In reality, however, only a market wage could be used for a construction cost estimation because there was no standard for the prevailing wage. A comparative analysis of the prevailing wage and market wage was performed. This paper proposes a framework for estimating the reasonable prevailing wage in the construction industry. The results showed that the prevailing wage was estimated to be 4.7% lower than the market wage when the proposed framework is applied to the carpenters' case. This suggests that the proposed model could be used as an alternative for market wage considering the original purpose of the prevailing wage. This study will construct the basic data for scientific analysis on the wage, and finally, help estimate the reliable prevailing wage in the future.
Unlike water or air quality standards that have been established by legislation using potential human health impact as the primary criterion, soil quality depends on the soils primary function and its relevant environmental factors, which is much more site- and soil specific. A properly characterized soil quality assessment system should serve as an indicator of the soil capacity to produce safe and nutritious food, to enhance human and animal health, and to overcome degrative processes. For our proposed example, a high quality soil with regard to maintaining an adequate soil productivity as a food production resources must accommodate soil and water properties, food chain, sustainability and utilization, environment, and profitability, that (i) facilitate water transfer and absorption, (ii) sustain plant growth, (iii) resist physical degradation of soil, (iv) produce a safe food resources, (v) cost-effective agricultural management. Possible soil quality indicators are identified at several levels within the framework for each of these functions. Each indicator is assigned a priority or weight that reflects its relative importance using a multi-objective approach based on principles of systems to be considered. To do this, individual scoring system is differentiated by the several levels from low to very high category or point scoring ranging from 0 to 10, And then weights are multiplied and products are summed to provide an overall soil quality rating based on several physical and chemical indicators. Tlne framework and procedure in developing the soil quality assessment are determined by using information collected from an alternative and conventional farm practices in the regions. The use of an expanded framework for assessing effects of other processes, management practices, or policy issues on soil quality is also considered. To develop one possible form for a soil quality index, we should permit coupling the soil characteristics with assessment system based on soil properties and incoming and resident chemicals. The purpose of this paper is to discuss approaches to defining and assessing soil quality and to suggest the factors to be considered.
In this study, we analyzed the relationship between the physical science domain of TIMSS 2019 and the Korean science curriculum. Twelve subjects are presented in the physical science domain of the TIMSS 2019 4th grade evaluation framework. Research group consisting of elementary and middle school teachers and science education experts, a total of 12, participated to analyze in which grade these subjects were included in the Korea 2009 revised and 2015 revised science curriculum. As a results of analyzing whether the achievement standards of the TIMSS 2019 evaluation framework and Korean science curriculum are consistent, the subjects pertinent to chemistry like 'chemical changes in everyday life,' 'heat transfer,' and 'electricity and simple electrical circuits' appeared not covered at all until the 4th grade curriculum in Korea. Given that the TIMSS 2019 evaluation framework is an international achievement standard, we are proposing to improve the Korean curriculum as follows: first, for the development of the next science curriculum, there is a need for science curriculum organized from the 1st grade of elementary school to connect the content and scope of chemistry in elementary, middle, and high schools as a whole including the Nuri curriculum. Second, as an alternative to the problem of suitability of learning volume and level of learning, it is possible to think of a method to readjust the grade of dealing with related concepts by lowering the difficulty or simplifying the concept. Third, it is necessary to discuss about introducing essential concepts and standard terms into Korea science curriculum according to international trends.
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