This study was performed to analyze GHG (Greenhouse gas) reduction effectiveness and economic feasibility in the wood pellet fuel switching project using JCDM (Japan Clean Development Mechanism) and KVER (Korea Voluntary Emission Reduction)data. The major data for the analyses consist of investment costs, annual GHG reductions, fuel prices and GHG credit prices. The wood pellet fuel switching projects are the $CO_2$-zero projects. Therefore, these projects are essential to accomplish the GHG mitigation target, especially in Korea. In order to raise the economic feasibility of the wood pellet fuel switching project, the results of this study suggest that the Korean government should reduce the price of wood pellet through the supply on a large scale and raise the KCER price of wood pellet fuel switching project.
Recently, global competition in the manufacturing sector is driving firms in the manufacturing sector to conduct product innovation projects to maintain their competitive edge. The key points of product innovation projects are 1) what the purpose of the project is and 2) what expected results in the target market can be achieved by implementing the innovation. Therefore, this study focuses on the performance of innovation projects with a business viewpoint. In this respect, this study proposes the "achievement rate" of product innovation projects as a measurement of project performance. Then, this study finds the best strategies from various innovation activities to optimize the achievement rate of product innovation projects. There are three major innovation activities for the projects, including three types of R&D activities: Internal, joint and external R&D, and five types of non-R&D activities - acquisition of machines, equipment and software, purchasing external knowledge, job education and training, market research and design. This study applies decision tree modeling, a kind of data-mining methodology, to explore effective innovation activities. This study employs the data from the 'Korean Innovation Survey (KIS) 2014: Manufacturing Sector.' The KIS 2014 gathered information about innovation activities in the manufacturing sector over three years (2011-2013). This study gives some practical implication for managing the activities. First, innovation activities that increased the achievement rate of product diversification projects included a combination of market research, new product design, and job training. Second, our results show that a combination of internal R&D, job training and training, and market research increases the project achievement most for the replacement of outdated products. Third, new market creation or extension of market share indicates that launching replacement products and continuously upgrading products are most important.
In the fourth industrial revolution, fashion students are expected to work with various technologies to show creativity. This study aimed to conduct project-based learning(PBL) in collaboration with industry experts to design and operate artificial intelligence(AI) in the practice subject of fashion curation through the industrial academic teaching method. We first looked at teaching methods and strategies incorporating PBL in various academic fields. Next, we analyzed fashion projects and fashion curation services applying AI. Then through the question-and-answer method and by consulting with industry experts, we developed a curriculum for AI fashion curation, applying PBL(fashion market and trend analysis; new styles and time, place, and occasion planning; AI machine learning data set production; curation model development; and evaluation) suitable for the university's educational environment, information technology company conditions, and fashion students. As part of a close cooperation system with the industry, we conducted a 15-week Fashion Project II (Capstone Design) course and evaluated the outcomes and student satisfaction with the course. Students were able to develop new style, and time, place, and occasion categories and to utilize strategies for AI fashion curation services reflecting the unique needs of Millennials and Generation Z. Students showed high satisfaction with the curriculum. Further, it was confirmed that the study successfully applied PBL in class using AI technology in fashion education.
International conference on construction engineering and project management
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2007.03a
/
pp.186-195
/
2007
Key Performance Indicators (KPIs) are the criteria of measuring project performance in order to attain construction excellence. Previous researchers have examined the abstract concept of success for general new construction and identified its relationship with the factors of success. In fact, most buildings exist to satisfy the needs of people. With the passing of time and change in technology, buildings have to be maintained and renovated in order to continue functioning properly for the benefits of users. Therefore, criteria and factors of success have increasingly attracted the attention of both researchers and practitioners, especially in cities where buildings become ageing. However, the topic of project success for maintenance projects is less discussed in previous research, and project participants, including maintenance surveyors should be able to identify the success measurement and its associated factors for performance improvement. This study fills the research gap by investigating the criteria and factors of success for maintenance projects. It first provides a summary of the literature review on the criteria and factors of success for construction projects. An empirical study has also been carried out with ten practitioners in Hong Kong to further identify the criteria and factors critical for the success of maintenance projects in practice. While most criteria and factors of success for new construction projects are also applicable to maintenance projects, participants in maintenance projects believe that effective communication is in particular important to provide quality service to the end-users.
Kai. Li.;Robert Tiong L. K.;Maria Balatbat ;David Carmichael
International conference on construction engineering and project management
/
2009.05a
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pp.272-275
/
2009
Carbon finance is the investment in Greenhouse Gas (GHG) emission reduction projects in developing countries and countries with economies in transition within the framework of the Kyoto Protocol's Clean Development Mechanism (CDM) or Joint Implementation (JI) and with creation of financial instruments, i.e., carbon credits, which are tradable in carbon market. The additional revenue generated from carbon credits will increase the bankability of projects by reducing the risks of commercial lending or grant finance. Meantime, it has also demonstrated numerous opportunities for collaborating across sectors, and has served as a catalyst in bringing climate issues to bear in projects relating to rural electrification, renewable energy, energy efficiency, urban infrastructure, waste management, pollution abatement, forestry, and water resource management. Establishing additionality is essential for successful CDM project development. One of the key steps is the investment analysis. As guided by UNFCCC, financial indicators such as IRR, NPV, DSCR etc are most commonly used in both Option II & Option III. However, economic indicator such as Economic Internal Rate of Return(EIRR) are often overlooked in Option III even it might be more suitable for the project. This could be due to the difficulties in economic analysis. Although Asian Development Bank(ADB) has given guidelines in evaluating EIRR, there are still large amount of works have to be carried out in estimating the economic, financial, social and environmental benefits in the host country. This paper will present a case study of a CDM development of a 18 MW hydro power plant with carbon finance option in central Vietnam. The estimation of respective factors in EIRR, such as Willingness to Pay(WTP), shadow price etc, will be addressed with the adjustment to Vietnam local provincial factors. The significance of carbon finance to Vietnam renewable energy development will also be addressed.
International conference on construction engineering and project management
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2009.05a
/
pp.1140-1147
/
2009
Productivity measurement of construction machinery is a significant issue faced by many contractors especially those involved in earthwork projects. Traditionally, equipment production rate has been estimated using data available in manufacturers' catalogues, results of previous construction projects, or personal experience and assessments of the site personnel. Actual production rates obtained after the completion of a project demonstrate the fact that most of these methods fail to provide accurate results and as a direct consequence, may lead to unrealistic project cost estimations prepared by the contractors. What makes this more critical is that in most cases, inadequate cost estimations lead the entire project to exceed the initial budget or fall behind the schedule. In this paper, a linear regression method to estimate bulldozer productivity is introduced. This method has been developed using SPSS-16 software package. The presented method is used to estimate the productivity of Komatsu D-155A1 series which is commonly used in many earthmoving operations in Iran. The data required for the numerical analysis has been collected from actual site observation and productivity measurement of 60 pieces of D-155A1 series currently being used in several earthmoving projects in Iran. Comparative analysis of the output data of the presented regression method and the existing productivity tables provided by the manufacturer shows that when compared to the actual productivity data collected on the jobsite, a significant increase in accuracy and a remarkable reduction of data variance can be achieved by using the presented regression method.
Kim, Minjeong;Hur, Sumin;Kim, Kwang H.;Cho, Yejin;Kim, Keunyoung;Kim, Ha Ryong;Nam, Ki Taek;Lim, Kyung-Min
Biomolecules & Therapeutics
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v.30
no.2
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pp.126-136
/
2022
Liver fibrosis is part of the wound healing process to help the liver recover from the injuries caused by various liver-damaging insults. However, liver fibrosis often progresses to life-threatening cirrhosis and hepatocellular carcinoma. To overcome the limitations of current in vivo liver fibrosis models for studying the pathophysiology of liver fibrosis and establishing effective treatment strategies, we developed a new mouse model of liver fibrosis using polyhexamethylene guanidine phosphate (PHMG-p), a humidifier sterilizer known to induce lung fibrosis in humans. Male C57/BL6 mice were intraperitoneally injected with PHMG-p (0.03% and 0.1%) twice a week for 5 weeks. Subsequently, liver tissues were examined histologically and RNA-sequencing was performed to evaluate the expression of key genes and pathways affected by PHMG-p. PHMG-p injection resulted in body weight loss of ~15% and worsening of physical condition. Necropsy revealed diffuse fibrotic lesions in the liver with no effect on the lungs. Histology, collagen staining, immunohistochemistry for smooth muscle actin and collagen, and polymerase chain reaction analysis of fibrotic genes revealed that PHMG-p induced liver fibrosis in the peri-central, peri-portal, and capsule regions. RNA-sequencing revealed that PHMG-p affected several pathways associated with human liver fibrosis, especially with upregulation of lumican and IRAK3, and downregulation of GSTp1 and GSTp2, which are closely involved in liver fibrosis pathogenesis. Collectively we demonstrated that the PHMG-p-induced liver fibrosis model can be employed to study human liver fibrosis.
The Journal of the Convergence on Culture Technology
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v.10
no.3
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pp.181-188
/
2024
Fueled by the digital transformation era, the 150th anniversary of Marcel Proust's birth (2021) and 100th anniversary of his death (2022) witnessed a surge in digital humanities research. This goes beyond supplementing traditional methods; it fosters new approaches like Nicolas Lagonneau's 'Proustonomics' website (archiving online/offline Proust discourse) and 'Proustographe' (quantifying and visualizing data related to Proust). The Buffalo Proust Project (2021) provided online access to materials on his life and works, while the Corr-Proust project digitized his correspondence. While Korea lacks established digital Proust research, recent analysis of academic paper vocabulary (through word frequencies and word clouds) reveals significant thematic and quantitative development around 2000, paving the way for future Korean ventures in this exciting field. Digital humanities research offers the potential to unearth new research topics, enhance efficiency, and promote international collaboration, ultimately leading to a deeper understanding of Proust and groundbreaking advancements in the field.
Kim, Young-Gil;Park, Jae-Yong;Kam, Sin;Han, Chang-Hyun;Cha, Byung-Jun
Journal of agricultural medicine and community health
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v.23
no.2
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pp.175-192
/
1998
This study was performed investigate the opinion of civil servants in Health center about Rural Health Service Improvement Project The survey by mail was carried out for 447 servants of 25 health centers in Kyungsangbuk-do and the data were collected through self-administered questionnaires to servants about need, participation, concern, and comprehension for the project and satisfied with current facility and equipment of health center. The results were as follows. Generally considered, 48.2% of the improved health center servants was satisfied with health center building and 14.0% or 24.1% of the improving or unimproved center was. About the location of health center, 37.7% of the improved health center servants was satisfied, 25.9% of the unimproved center was. Of the improved health center servants, 43% was satisfied with the medical equipment but in unimproved place, the dissatisfaction was appeared higher than any other place. 49.7% of respondents was participated in making out the Rural Health Service Improvement Project. 50.6% was interested in this project. In the improved area. 65.5% of health center servants replied that the mayor's or county executive's concern about this project was high and 46.5% in councilors but in the unimproved area. their concern was low. About the contents of the project. 24,6% of the servants in the improved center, only 15.2% in unimproved center replied that they had known well. After making out the plan, 13.6% of respondents was unsatisfied with this plan and 17.1% replied that the estimating method of selecting the project area was not good. After the improvement of institution and equipment, 86.1% of health center servants answered that the medical service provided by health center would increase but 59.2% replied that the residents' utilization rate of private medical facility would decrease. The servants of the improved health center replied that the recognition about the developing will of health service(91.2%), the efficiency(91.2%), the quality of health and medical service(93.0%), the amount of health project(91.2%) were improved. In health center which had already improved the institution and equipment, 88.5% of servants replied that the residents' utilization for health center was increased. So, this project should be continuously carried out for health center and health center must develope new project to fit region condition.
Nowadays, the IS project is getting more and more complicated and large-scaled. Many researchers and practitioners are interested in the IS development methodologies, automated tools and techniques to decrease project failure and to increase IS project performance. This research is to seize the management level of PMO affecting on the IS project, as a new method to increase the IS project development performance. As a result of surveying the present PMO operation state with banks which are the leading industry to accept the PMO in Korea, technology support management and infrastructure management are the core functions to affect the IS performance including schedule management, quality management, and user and stakeholders' satisfaction. Also, the PMO management level is the important point of IS project success. Among the 5 levels PMI suggested, PMO can implement the project effectively at least at the third level. Korean companies introducing the PMO have to do research the PMO core functions and the management levels according to the project scale, and review the distinctive features of their organization to increase the maturity of IS project. This research has been proved through the Full Structural Equation Model. The results show that the five core functions of PMO have relationship with the IS project performance.
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