• International conference on construction engineering and project management
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• 2009.05a
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• pp.1100-1106
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• 2009

General contractors' overhead costs are increasing relative to direct costs. However, it is difficult to apply the traditional activity-based costing directly to the construction site overhead costing because the resource consumption rate per each activity is varied depending on the attributes of activities. The research develops a methodology of hybrid cost allocation system when resources are assigned to cost objects unlike the traditional activity-based costing. The study also develops a database program and demonstrates how it can be applied to the construction projects using a case study.

• Journal of Cadastre & Land InformatiX
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• v.53 no.1
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• pp.21-36
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• 2023

Activity-based modeling systems have increasingly been developed to address the limitations of widely used traditional four-step transportation demand forecasting models. Accordingly, this paper introduces the Activity-BAsed Traveler Analyzer (ABATA) system. This system consists of multiple components, including an hourly total population estimator, activity profile constructor, hourly activity population estimator, spatial activity population estimator, and origin/destination estimator. To demonstrate the proposed system, the emission impact of land use changes in the 5-1 block Sejong smart city is evaluated as a case study. The results indicate that the land use with the scenario of work facility dispersed plan produced more emissions than the scenario of work facility centralized plan due to the longer travel distance. The proposed ABATA system is expected to provide a valuable tool for simulating the impacts of future changes in population, activity schedules, and land use on activity populations and travel demands.

• Korean Journal of Child Studies
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• v.31 no.5
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• pp.63-77
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• 2010

This study was to investigate the differences of 'math talks' between concept-based storybook reading and context-based storybook reading activities. The teachers carried out storybook reading activities with their children using either four concept-based storybooks or four context-based storybooks. Fifty-six storybook reading activities from seven kindergarten classrooms were observed. The data were collected through participant observations and audio recordings. The transcriptions of 'math talks' during storybook reading activity were classified in terms of the levels of instructional conversation, types of mathematizing, and the mathematical processes involved. The results indicated that the 'math talks' during the concept-based storybook reading activity were higher than those of the context-based storybook reading activity in terms of both the instructional conversation and in quantifying and redescribing of mathematizing. However, the 'math talks' during the context-based storybook reading activity were higher than those of the concept-based storybook reading activity in connecting and reasoning of the mathematical processes involved. These findings suggest that early childhood teachers need to improve the level of instructional conversation during math storybook reading activities.

• Journal of Applied Biological Chemistry
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• v.49 no.3
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• pp.90-94
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• 2006

Bactericidal activity of grapefruit seed extract (GSE)-based disinfectant, as a safe disinfectant, was measured against five bacteria by Korean Food & Drug Administration (KFDA) dilution-neutralization method. GSE-based disinfectant showed a 99.9999% bactericidal activity against Escherichia coli ATCC 10536, Salmonella typhi ATCC 29629, Staphylococcus aureus ATCC 6538, Bacillus cereus ATCC 11778, and Listeria monocytogenes ATCC 1911 at the concentration of 2.15% GSE. It showed better bactericidal activity against Gram-negative bacteria of E. coli ATCC 10536 and S. typhi ATCC 29629 at lower concentration of GSE (0.43%). Based on the results, it was suggested that a possible bactericidal mechanism of GSE active ingredients was due to the abrupt osmotic shift during the bactericidal activity test by KFDA method.

• BMB Reports
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• v.47 no.3
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• pp.149-157
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• 2014

The recent dramatic improvements in high-resolution mass spectrometry (MS) have revolutionized the speed and scope of proteomic studies. Conventional MS-based proteomics methodologies allow global protein profiling based on expression levels. Although these techniques are promising, there are numerous biological activities yet to be unveiled, such as the dynamic regulation of enzyme activity. Chemical proteomics is an emerging field that extends these types proteomic profiling. In particular, activity-based protein profiling (ABPP) utilizes small-molecule probes to monitor enzyme activity directly in living intact subjects. In this mini-review, we summarize the unique roles of smallmolecule probes in proteomics studies and highlight some recent examples in which this principle has been applied.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.23 no.54
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• pp.55-64
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• 2000

Due to change in management environment and paradigms, companies need to the open management system that provides information for real-time costing, customer satisfaction, decision making support, responsibility management etc. We are not ready to implement this system yet. But we must introduce a new management system, i.e., ABMS(Activity- Based Management System) on the basis of the ARC(Activity-Based Costing) by development of production/information technique. This paper realizes foundational concepts of Activity and ABC, reestablishes the concept of ABC correctly and expands ABC for ABMS. Thus this paper is useful for ABMS modeling, leading competitors, total productivity improvement and strategic management for the best quality and service.

• Korean Journal of Health Education and Promotion
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• v.32 no.1
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• pp.67-76
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• 2015

Objectives: This study performed to verify Korea National Health and Examination Survey(KNHAES) to monitor recommended physical activity(PA) and to propose an monitoring tools for evidence-based PA projects. Methods: The characteristics of the Global Physical Activity Questionnaire(GPAQ) and its reliability and validity were overviewed based on the current scientific evidence in the field of PA. Relevant articles were identified through multiple sources including PubMed, Science Direct, Scopus, CINAHL, ASP, RISS4U, and KISS. Results: The GPAQ has strong points over the Short Form of International Physical Activity Questionnaire(IPAQ-SF) as a monitoring tool to meet recommended PA levels for three domains separately and reflecting a better understanding about walking. Its reliability and validity also were reported as acceptable in existing studies overall. Some limitations of this questionnaire, however, need to be addressed to improve its quality. Conclusions: For monitoring of evidenced-based physical activity projects, we considered that it is able to be provided an opportunity for in-depth discussion among academic experts and policy-makers about the necessity of complements for KNHAES and applying new tools, and it could be the basis for development of physical activity monitoring tool in the future.

• Natural Product Sciences
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• v.29 no.1
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• pp.1-9
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• 2023

This study assessed in vitro antioxidant activity (ABTS⁺ and DPPH) of Vitex rotundifolia seeds collected from two different regions in Korea (Jungjang City and Sindu City). Three extraction methods using ethanol, methanol, and water were prepared separately and subjected to quantification by reverse-phase high-performance liquid chromatography-photodiode array (HPLC-PDA) analysis as well as antioxidant testing. Among them, the water-based extract exhibited superior activity in the ABTS⁺ compared with the ethanol- and methanol-based extracts, while the DPPH assay analysis, revealed that the methanol-based extract had very low antioxidant activity. The concentrations of vanillic acid (1), luteolin (2), vitexicarpin (3), and artemetin (4) were quantified using HPLC-PDA analysis. Vanillic acid (1) was identified as the main antioxidant in V. rotundifolia seeds. Combining the antioxidant activity and quantitative analysis results, the water-based extract was considered to have the highest antioxidant activity. Furthermore, vanillic acid (1) was detected in the leaves and stems of V. rotundifolia plants from different regions, indicating that this species has the potential for use in future antioxidant-applications.

• Journal of Engineering Education Research
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• v.20 no.2
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• pp.39-49
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• 2017

This research aims to explore the relationships between 'teamwork skills' (often called team activity competence) and 'thinking styles' of engineering students in Korea, and to provide an explanation for the application of team-based environment as well as for the increase of teamwork skills. Teams and team activity are pervasive in today's organization and there has been relatively much research on teamwork skills and its related factors. However, to date, little attention has been paid to the teamwork skills, essential factor in team-based environment and its relationships with thinking styles. This study was conducted with 383 engineering students at P University, and students' teamwork skills as well as thinking styles have been measured before and after team-based learning class (hereafter TBL). Our findings show that firstly, there was a significant increase of teamwork skills between before and after TBL class. Second, team activity competence was found to have a higher correlation with most of creativity generating styles (i.e. legislative, judicial, hierarchical and global styles). Third, hierarchical style was found to influence team activity more than other components, and also legislative, external, global and judicial styles contributed to team-based activity. These findings are expected to provide an explanation for the application of thinking styles in team-based environment and will be useful for the improvement of related courses in engineering school.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.877-885
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• 2022

Vision-based activity recognition has been widely attempted at construction sites to estimate productivity and enhance workers' health and safety. Previous studies have focused on extracting an individual worker's postural information from sequential image frames for activity recognition. However, various trades of workers perform different tasks with similar postural patterns, which degrades the performance of activity recognition based on postural information. To this end, this research exploited a concept of human-object interaction, the interaction between a worker and their surrounding objects, considering the fact that trade workers interact with a specific object (e.g., working tools or construction materials) relevant to their trades. This research developed an approach to understand the context from sequential image frames based on four features: posture, object, spatial features, and temporal feature. Both posture and object features were used to analyze the interaction between the worker and the target object, and the other two features were used to detect movements from the entire region of image frames in both temporal and spatial domains. The developed approach used convolutional neural networks (CNN) for feature extractors and activity classifiers and long short-term memory (LSTM) was also used as an activity classifier. The developed approach provided an average accuracy of 85.96% for classifying 12 target construction tasks performed by two trades of workers, which was higher than two benchmark models. This experimental result indicated that integrating a concept of the human-object interaction offers great benefits in activity recognition when various trade workers coexist in a scene.