• IEMEK Journal of Embedded Systems and Applications
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• v.19 no.2
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• pp.83-90
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• 2024

CNC tools contribute to the production of high-precision and consistent results. However, employing damaged CNC tools or utilizing compromised numerical control can lead to significant issues, including equipment damage, overheating, and system-wide errors. Typically, the assessment of external damage to CNC tools involves capturing a single viewpoint through a camera to evaluate tool wear. This study aims to enhance existing methods by using only a single manually focused Microscope camera to enable comprehensive external analysis from multiple perspectives. Applying the NeRF (Neural Radiance Fields) algorithm to images captured with a single manual focus microscope camera, we construct a 3D rendering system. Through this system, it is possible to generate scenes of areas that cannot be captured even with a fixed camera setup, thereby assisting in the analysis of exterior features. However, the NeRF model requires considerable training time, ranging from several hours to over two days. To overcome these limitations of NeRF, various subsequent models have been developed. Therefore, this study aims to compare and apply the performance of Instant NGP, Mip-NeRF, and DS-NeRF, which have garnered attention following NeRF.

• 한국정보컨버전스학회:학술대회논문집
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• 2008.06a
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• pp.181-184
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• 2008

This work was supported by the MIC(Ministry of Information and Communication), Korea, under the ITRC(Information Technology Research Center) support program supervised by the IITA(Institute of Information Technology Assessment) and Yonsei University Institute of TMS Information Technology, a Brain Korea 21 program, Korea. CAD Tools were supported by IDEC.

• Korean Journal of Adult Nursing
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• v.27 no.1
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• pp.29-38
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• 2015

Purpose: The purpose of the study was to validate fall risk assessment scales among hospitalized adult patients in South Korea using the electronic medical records by comparing sensitivity, specificity, positive predictive values, and negative predictive values of Morse Fall Scale (MFS), Bobath Memorial Hospital Fall Risk Assessment Scale (BMFRAS), and Johns Hopkins Hospital Fall Risk Assessment tool (JHFRAT). Methods: A total of 120 patients who experienced fall episodes during their hospitalization from June 2010 to December 2013 was categorized into the fall group. Another 120 patients, who didn't experience fall episodes with age, sex, clinical departments, and the type of wards matched with the fall group, were categorized to the comparison group. Data were analyzed for the comparisons of sensitivity, specificity, positive and negative predictive values, and the area under the curve of the three tools. Results: MFS at a cut-off score of 48 had .806 for ROC curves, 76.7% for sensitivity, 77.5% for specificity, 77.3% for positive predictive value, and 76.9% for negative predictive value, which were the highest values among the three fall assessment scales. Conclusion: The MFS with the highest score and the highest discrimination was evaluated to be suitable and reasonable for predicting falls of inpatients in med-surg units of university hospitals.

• Journal of Environmental Impact Assessment
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• v.15 no.3
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• pp.165-178
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• 2006

Environmental Impact Assessment (EIA) and Environmental Management Systems (EMS) are perceived by many to be separate environmental tools. EIA serves as a systematic and predictive tool for assessing the potentially significant impacts of developments on the environment. An EMS, on the other hand, is used to consider the key impacts of operational businesses on the environment. The main difference to note is that during the EIA process impacts on developments are predicted. A proposed development has yet to be built and therefore an element of uncertainty is associated with these assessments. With an EMS, the business or organization's processes are already in operation. Even though there is also an element of prediction involved, it is a comparatively easier task to investigate what the environmental impacts of these processes are. However, in contrast with the orientation of EIA to further development actions, EMS involves the review, assessment and incremental improvement of an existing organization's environmental effects. EMS can thus be regarded as a continuation of EIA principles into the operational stage of a policy, plan, program and project. EIA may be carried out without fully supporting necessary informations to EMS.

• Special Issue of the Society of Naval Architects of Korea
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• 2017.10a
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• pp.80-87
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• 2017

This paper is related to structural assessment considering the hydroelastic response of ultra large container ships, especially from whipping (bow or stern impacts) and from springing (resonance). In general, whipping contributes both to increased fatigue and extreme loading, while springing does mainly contribute to increased fatigue loading. To evaluate the hydroelastic response quantitatively with high accuracy, numerical code considering hydro-structure coupling was applied and fatigue strength of a 13,100 TEU class containership was verified. The segmented model test and full scale measurement were also needed to assess the effect of whipping and springing on the fatigue and extreme capacity in more realistic way and for verification of the numerical tools. With reference to class rule, fatigue assessment considering springing effect and extreme assessment considering whipping effect were introduced.

• Journal of Construction Engineering and Project Management
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• v.2 no.1
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• pp.27-34
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• 2012

Recent requirements in component management of building systems have focused on the requirement for improving methods and metric tools to support component condition assessment and appropriate decisions for infrastructure owned facilities. Although engineers and researchers have focused on developing methodologies for component assessment in recent years but there is not enough attention dedicate to facilities and components that have been constructed. This paper is a literature study of scientific papers within the topic of component condition index system (CCIS) in the period 1976 to 2009. Infrastructure component condition index had existed for some 40 years. The purpose of this paper is to provide an overview of CCIS to identify the suitable method for component condition assessment during its service life. This paper finds that the focus of CCIS, surveyed in several aspects during the 40 years that have been investigated, from technology to measurement and from assessment function to component maintenance as an integrated part of the infrastructure component management. This study offers help to researchers in understanding the selection of an appropriate method for component condition assessment in building and non-building systems.

• Journal of the Korea Society of Computer and Information
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• v.16 no.4
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• pp.29-42
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• 2011

This study deals with the assessment indices about greening performance of datacenter. To do this, we survey existing standards and guidelines about datacenter. Those are used constructing new model of datacenter regarding greening performance. In this model, the relationship between major components will be represented by job-energy-thermal notation. Items, criteria and methods are created in order to complete the assessment indices. The existing assessment indices of the datacenter level and equipment level are investigated. Parameters, the degree of virtualization and energy efficiency also affects the performance of the green performance. Finally, to determine the improvements, the proposed indices is compared with the existing assessment tools.

• 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.

• Journal of Engineering Education Research
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• v.12 no.1
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• pp.57-63
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• 2009

This Paper presents a clearly explained and richly illustrated case study of assessment and evaluation for program outcomes in accreditation for engineering education, which describe what Program students are expected to be able to do by the time of graduation. In particular, the performance criteria based on performance level, assessment tools, and level-of-achievement rubrics for assessment of program outcomes in electrical engineering program of Kwangwoon university will be briefly addressed. Obviously, the assessment, evaluation, and improvement processes for the specified program outcomes should be continuously carried out to demonstrate that the program objectives and outcomes are being met.

• Journal of the Korean earth science society
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• v.44 no.4
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• pp.318-330
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• 2023

This study aimed to verify the validity of a measurement tool for Vietnamese high school students' systems thinking abilities. Two quantitative assessment tools, the Systems Thinking Measuring Instrument (Lee et al., 2013) and the Systems Thinking Scale (Dolansky et al., 2020), were used to measure students' systems thinking after translation into Vietnamese. As a result, it was revealed that Cronbach-α for each tool (i.e., STMI and STS) was .917 and .950, respectively, indicating high reliability for both. To validate the construct validity of the translated questionnaire, exploratory factor analysis was performed using SPSS 26.0, and confirmatory factor analysis was performed using AMOS 21.0. For concurrent validity, correlation analysis using structural equation modeling was performed to validate the translated questionnaire. Exploratory factor analysis revealed that 10 items from the STMI and 12 items from the STS loaded on the intended factors and appropriate factor loading values were obtained. For confirmatory factor analysis, a structural equation model organized with 10 items from the STMI and 12 items from the STS was used. The result of this showed that the convergent validity values of the model were all appropriate, and the model fit indices were analyzed to be χ²/df of 1.892, CFI of .928, TLI of .919, SRMR of .047, and RMSEA of .063, indicating that the model consisting of the 22 items of the two questionnaires was appropriate. Analysis of the concurrent validity of the two tools indicated a high correlation coefficient (.903) and high correlation (.571-.846) among the subfactors. In conclusion, both the STMI and STS are valid quantitative measures of systems thinking, and it can be inferred that the systems thinking of Vietnamese high-school students can be quantitatively measured using the 22 items identified in our analysis. Using the tool validated in this study with other tools (e.g., qualitative assessment) can help accurately measure Vietnamese high school students' systems thinking abilities. Furthermore, these tools can be used to collect evidence and support effective education in ODA projects and volunteer programs.