• STI Policy Review
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• v.1 no.2
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• pp.69-88
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• 2010

This paper explores the determinants of the innovation impact of publicly funded R&D projects along three broad dimensions, namely project, firm and market-related factors. In addition to these factors we examine the attributes of the research result per se and aspects of the commercialization process. The observations from empirical and qualitative analyses are based on R&D projects funded by the Fifth and Sixth Research Framework Programmes of the European Union. Firm size, prior experience, innovation culture, the nature of the project itself, explicit intension to commercialize, consortium management and strategy are the factors with the strongest effect on project success, defined in terms of product/process innovation and/or technical knowledge creation. The paper provides important implications for the organization, objectives, and management of public programmes that fund R&D and for project and participant selection.

• Journal of the Korean Chemical Society
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• v.63 no.3
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• pp.166-182
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• 2019

This study examined teachers' difficulties that they encountered free semester science assessment and their problem solutions. Fifteen science teachers who had experiences of free semester teaching and assessment were selected by convenience sampling in this study. The participant teachers mentioned difficulties of accurate scoring in student self/peer assessment and suggested solutions of providing studetns with detailed assessment criteria and opportunities to practice assessment. The participant teachers mentioned a lack of objective assessment criteria for affective domain and suggested solutions of providing criteria prior to assessment and developing assessment framework. The participant teachers mentioned a lack of assessment tools and references for perforamnce assesement. The participant teachers mentioned difficulties of a large teacherstudent ratio for providng feedbacks to students and suggested solutions of decreasing teacher-student ratio and teaching load. The participant teachers mentioned difficulties of identifying student characteristics for assessment reporting and suggested solutions of decreaing teacher work load. The participant teachers mentioned a lack of teacher understanding of process based assessment and inactive attitude to performance assessment and suggested solutions of professional learning community and improving teacher perceptions on performance assessment. The participant teachers mentioned difficulties of a large teacher-student ratio and a lack of time for implementing assessment methods that they learned from professional development programs. With both teacher self-efforts and systematic support, these problems would be solved and success of free semester assessment would be achieved.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.6
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• pp.2230-2250
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• 2015

Multiple projectors with partially overlapping regions can be used to project a seamless image on a large projection surface. With the advent of high-resolution photography, such systems are gaining popularity. Experts set up such projection systems by subjectively identifying the types of errors induced by the system in the projected images and rectifying them by optimizing (correcting) the parameters associated with the system. This requires substantial time and effort, thus making it difficult to set up such systems. Moreover, comparing the performance of different multi-projector display (MPD) systems becomes difficult because of the subjective nature of evaluation. In this work, we present a framework to quantitatively determine the quality of an MPD system and any image projected using such a system. We have divided the quality assessment into geometric and photometric qualities. For geometric quality assessment, we use Feature Similarity Index (FSIM) and distance-based Scale Invariant Feature Transform (SIFT). For photometric quality assessment, we propose to use a measure incorporating Spectral Angle Mapper (SAM), Intensity Magnitude Ratio (IMR) and Perceptual Color Difference (ΔE). We have tested the proposed framework and demonstrated that it provides an acceptable method for both quantitative evaluation of MPD systems and estimation of the perceptual quality of any image projected by them.

• Journal of Digital Contents Society
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• v.19 no.4
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• pp.771-777
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• 2018

This study proposes a big data based risk analysis framework to analyze more comprehensive disaster risk and vulnerability. We introduce a distributed and parallel framework that allows large volumes of data to be processed in a short time by using open-source disaster risk assessment tool. A performance analysis of the proposed system presents that it achieves a more faster processing time than that of the existing system and it will be possible to respond promptly to precise prediction and contribute to providing guideline to disaster countermeasures. Proposed system is able to support accurate risk prediction and mitigate severe damage, therefore will be crucial to giving decision makers or experts to prepare for emergency or disaster situation, and minimizing large scale damage to a region.

• Korean Journal of Occupational Health Nursing
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• v.24 no.4
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• pp.381-391
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• 2015

Purpose: The purpose of this study was to describe the intervention model development of health promotion for women workers working in the traditional marketplace, using community capacity building framework. Methods: Need assessment of the target population, work-related environment investigation, social network group building, and setting health management in the marketplace were performed. Then the interventions including cardiovascular health, musculoskeletal health, and psychological health were conducted. The results were evaluated using NCEP-ATP III(National Cholesterol Education Program's Adult Treatment Panel III), OWAS, and CES-D. Results: It was found that the intervention program for the vulnerable group in marketplace was appropriate, promoting the improvement of metabolic syndrome and the reduction of pain complaints. Therefore, the intervention framework for health promotion of women workers in the marketplace was developed. Work-related environment assessment also was included in the framework development. Several community capacity building strategies, including developing community resources and promoting partnership, making small social network group, and promoting program participation. Conclusion: It is suggested that occupational health nurses and professionals consider the appropriateness of intervention framework development after identifying the needs of women workers' work-related environmental problems.

• Journal of Korean Society of Forest Science
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• v.108 no.3
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• pp.454-467
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• 2019

This study proposed a forest landscape (patch) fragmentation monitoring framework using a cadastral forest land dataset and validated the feasibility of such monitoring. The following results were found. First, the forest landscape has fragmented too quickly. Hence, immediate national monitoring and management are required. Second, forest landscape monitoring should be linked to other survey frameworks. Horizontal fragmentation monitoring based on the forest landscape (geographic information system [GIS] polygons) is insufficient to determine ecological processes. Third, precautionary principle regulation to link forest landscape fragmentation monitoring to assessment systems such as environmental impact analysis or disaster impact analysis should follow.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.294-298
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• 2015

In the United States, the completion of Construction Work Zone (CWZ) impact assessments for all federally-funded highway infrastructure improvement projects is mandated, yet it is regarded as a daunting task for state transportation agencies, due to a lack of standardized analytical methods for developing sounder Transportation Management Plans (TMPs). To circumvent these issues, this study aims to create a spatiotemporal modeling framework, dubbed "SWAT" (Spatiotemporal Work zone Assessment for TMPs). This study drew a total of 43,795 traffic sensor reading data collected from heavily trafficked highways in U.S. metropolitan areas. A multilevel-cluster-driven analysis characterized traffic patterns, while being verified using a measurement system analysis. An artificial neural networks model was created to predict potential 24/7 traffic demand automatically, and its predictive power was statistically validated. It is proposed that the predicted traffic patterns will be then incorporated into a what-if scenario analysis that evaluates the impact of numerous alternative construction plans. This study will yield a breakthrough in automating CWZ impact assessments with the first view of a systematic estimation method.

• International conference on construction engineering and project management
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• 2017.10a
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• pp.14-23
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• 2017

In high-density high-rise cities such as Hong Kong, buildings account for nearly 90% of energy consumption and 61% of carbon emissions. Therefore, it is important to study the design of buildings, especially high-rise buildings, to achieve lower carbon emissions in the city. The carbon emissions of a building consist of embodied carbon from the production of construction materials and operational carbon from energy consumption during daily operation (e.g., air-conditioning and lighting). An integrated analysis of both types of carbon emissions can strengthen the design of low carbon buildings, but most of the previous studies concentrated mainly on either embodied or operational carbon. Therefore, the primary objective of this study is to develop a holistic methodology framework considering both embodied and operational carbon, in order to enhance the sustainable design of low carbon high-rise buildings. The framework will be based on the building information modeling (BIM) technology because BIM can be integrated with simulation systems and digital models of different disciplines, thereby enabling a holistic design and assessment of low carbon buildings. Structural analysis program is first coupled with BIM to validate the structural performance of a building design. The amounts of construction materials and embodied carbon are then quantified by a BIM-based program using the Dynamo programming interface. Operational carbon is quantified by energy simulation software based on the green building extensible Markup Language (gbXML) file from BIM. Computational fluid dynamics (CFD) will be applied to analyze the ambient wind effect on indoor temperature and operational carbon. The BIM-based framework serves as a decision support tool to compare and explore more environmentally-sustainable design options to help reduce the carbon emissions in buildings.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.551-562
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• 2021

Strategic management of universities is crucial for the regional competitiveness due to the high impact of universities on the economic growth of regions through entrepreneurial training and support. The study aimed to investigate the HEInnovate self-assessment tool, valuable in building entrepreneurship-oriented strategy, by considering the case of Turan University. The tool can be used to study entrepreneurial capabilities of the university and make strong management decisions. The self-assessment allows getting feedback from all stakeholders, including external ones, which helps to make institutional changes to influence the regional economic growth. The framework of the research is based on the theories of strategic management and regional competitiveness, which can be deployed with the HEInnovate self-assessment recommendations and findings. The research methodology comprises objective and functional approaches to system analysis. HEInnovate self-assessment by Turan university revealed some weaknesses in the university strategy and helped make some recommendations, namely, the university's entrepreneurial ecosystem must act as part of a regional business support ecosystem to provide input into local economic development, attract more international faculty and faculty with more practical experience, create an entrepreneurial culture across staff of the university, address a lack of internal structures to support staff, and improve university-business cooperation.

• Journal of Engineering Education Research
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• v.23 no.1
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• pp.47-58
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• 2020

Kunsan National University obtained accreditation for its Architecture & Building Engineering Program from the Accreditation Board for Engineering Education in Korea (ABEEK) in 2004 and has offered an ABEEK-accredited degree pathway ever since. Then, in 2018, the university introduced the course-embedded outcomes assessment system as per ABEEK's KEC2015 accreditation criteria. One year into its implementation, the new system allows the measurement and assessment of 10 program outcomes covering 19 curricular modules and 1 non-curricular licensing examination. The system incorporates the four areas of specialization within architectural engineering as well as the three course categories of the math, science, and computer; liberal arts; and engineering core modules under the accreditation scheme. It also takes the students' academic years into account, especially for the mandatory modules offered to all students. Its rubric clarifies the performance criteria, performance level, assessment tools, objectives, and modules. The 2018 course-embedded outcomes assessment system is an ever-evolving structure with regular CQI: Continuous Quality Improvements along the circular process of system establishment → implementation → evaluation as per the virtuous cycle model required for an accredited engineering program.