• Smart Structures and Systems
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• v.30 no.3
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• pp.287-301
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• 2022

The machine-vision based structural displacement measurement methods are widely used due to its flexible deployment and non-contact measurement characteristics. The accuracy of vision measurement is directly related to the image resolution. In the field of computer vision, super-resolution reconstruction is an emerging method to improve image resolution. Particularly, the deep-learning based image super-resolution methods have shown great potential for improving image resolution and thus the machine-vision based measurement. In this article, we firstly review the latest progress of several deep learning based super-resolution models, together with the public benchmark datasets and the performance evaluation index. Secondly, we construct a binocular visual measurement platform to measure the distances of the adjacent corners on a chessboard that is universally used as a target when measuring the structure displacement via machine-vision based approaches. And then, several typical deep learning based super resolution algorithms are employed to improve the visual measurement performance. Experimental results show that super-resolution reconstruction technology can improve the accuracy of distance measurement of adjacent corners. According to the experimental results, one can find that the measurement accuracy improvement of the super resolution algorithms is not consistent with the existing quantitative performance evaluation index. Lastly, the current challenges and future trends of super resolution algorithms for visual measurement applications are pointed out.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.05a
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• pp.171-172
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• 2018

Performance measurement and management in the construction industry has traditionally been regarded as the major factor for successful business execution. In addition, there is emphasis on the function of performance measurement and management that can early warn potential risks and poor performance in project execution environment changes. Previous studies have made various attempts to measure the quantitative performance of construction projects, and the research to derive the link between the results and the issue that can meet the future needs is expected to provide valuable information. The purpose of this study is to analyze the research trends based on the keywords presented in previous studies on the performance measurement and management of construction projects. Considering that the results presented in the existing literature can be an indicator of the evolution of the sector before it is applied to industry, the result of this study is expected to be used as a basic data to support the establishment of research direction in the future.

• The Journal of Information Systems
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• v.13 no.2
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• pp.195-226
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• 2004

SCM becomes the key information systems in small and medium enterprises followed by ERP. One of the critical success factors for successful implementation of SCM is to develop a performance measurement framework. Previous study, however, shows that there are not appropriate performance measurements for small and medium enterprises. The purpose of this study is to develop a SCM performance measurement for small and medium enterprises. Based on the analysis of previous studies, a performance framework and measurement are developed. A case study has been conducted to validate a framework. The results show that a framework is valid, but needs to be improved. Using a framework, more successful implementation of SCM would be expected.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.219-231
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• 2013

Many companies are adopting performance measurement systems(PMS) in order to acquire competitive advantage the promote long-term growth in Coping with the rapidly changing business environment. Prior research has focused on the relation between PMS and organizational performance. However, there is limited empirical research that examines the behavioural consequences of PMS. Further, there is little empirical research that examines whether measurement diversity have direct and/or indirect effects on work performance. As such, I examine how the relation between measurement diversity and managerial performance can be explained by the intervening variables of justice and organizational citizenship behaviour. This study is summarized as follows: this study finds that measurement diversity affect managerial performance indirectly through justice and organizational citizenship behaviour.

• Korean Journal of Construction Engineering and Management
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• v.5 no.2 s.18
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• pp.202-210
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• 2004

Under the current competitive business environment, the complexity of procurement method, and the lack of engineering capacity in the construction engineering industry, a construction engineering firms require the business strategy and its performance measurement system. This study suggests a performance measurement model that could follow 'H' construction engineering firm's vision and strategy. The model utilizes the concept of Balanced Scorecard. The study proposes the four main performance perspectives such as financial, growth, internal efficiency, and improvement & learning through the long-term strategy analysis, SWOT analysis, and interviews of the employees. Also the study develops the critical success factor and the key performance indicators. The usefulness of the performance measurement model is validated through the gap analysis such as alignment analysis and consensus analysis.

• Journal of the Korean Society for Precision Engineering
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• v.26 no.3
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• pp.47-54
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• 2009

In the manufacturing industry, there has been a significant increase in the use of coordinate measuring machines(CMM). In this paper, the sources of CMM measurement performance are discussed. The effects of workpiece position, length and orientation are analyzed by using the design of experiments. Both a fractional factorial design and a factorial design are employed to conduct the experimental study. The analysis of variance is performed to determine the significance of factors in the experiment and regression analysis is applied to make the measurement approximate model. The results show that position along the Z axis, length and orientation affect the CMM measurement performance.

• Journal of the Korean Solar Energy Society
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• v.27 no.1
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• pp.39-45
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• 2007

In this paper, we analyzed the elements of measurement uncertainty on electrical performance test which are the most important things in photovoltaic module performance test. Repeating the performance test by 6 men, the measurement uncertainty could be calculated. In this experiment, Solar Simulator (A-Class pulse type) used for domestic certificate test of PV module is Pasan IIIb (Balval, Switzerland). The possible elements of the measurement uncertain that could effect electrical performance test of PV module are reference cell, spectrum correction, error from measurement repetition, test condition, stability and uniformity of artificial solar simulator. To find the measurement uncertainty, 6 men repeated the test by 10 times. And the results were that numerical average value was 124.44W and measurement uncertainty was $124.44W{\pm}0.36W$ with 95% confidence level for 125W PV module(KD-5125).

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2006.06a
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• pp.5-7
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• 2006

In this paper, we analyzed the elements of measurement uncertainty on electrical performance test which are the most important things in photovoltaic module performance test. Repeating the performance test by 6 men, the measurement uncertainty could be calculated. In this experiment, Solar Simulator (A-Class pulse type) used for domestic certificate test of PV module is Pasan IIIb (Balval, Switzerland). The possible elements of the measurement uncertain that could effect electrical performance test of PV module are reference cell, spectrum correction, error from measurement repetition, test condition, stability and uniformity of artificial solar simulator. To find the measurement uncertainty, 6 men repeated the test by 10 times. And the results were that numerical average value was 124.44W and measurement uncertainty was $124.44W{\pm}0.75W$ with 95% confidence level for 125W PV module.

• Proceedings of the Korean Society for Quality Management Conference
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• 1998.11a
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• pp.345-352
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• 1998

Performance measurement is increasingly becoming a vital issue for promoting quality management within an organization. This research proposes a new performance measurement approach, called the Hierarchically Associated Performance Measurement, for the organizations which emphasize long term quality thrust through a balanced interface between the quality efforts of various units. The proposed approach is unique in that it considers relationships between internal quality activities and national quality award criteria and that it identifies and utilizes the quality responsibilities of functional units in order to encompass organizational roles in the evaluation process. The approach is illustrated via a numerical evaluation of a fictitious organization.

• Journal of Information Technology Services
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• v.9 no.4
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• pp.109-121
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• 2010

Most organizations adopt their own performance measurement systems. Those organizations select performance measures to meet their goals. Organizations can give only limited description of what performance measures are. Kaplan and Norton suggest that the Balanced Scorecard (BSC) to complement the conventional performance measures. The BSC can provide management system with a comprehensive strategic vision and integrates non-financial measures with financial measures. The BSC is widely used for measuring corporate performance. This paper investigates how the BSC-based performance measures can be applied to Learning City. The Learning City's performance measures and strategy map on the basis of the BSC are suggested in this research. This paper adopt the AR(assurance region)-DEA model which could limit the range of weight on performance measures to prevent each viewpoint of BSC from having unlimited elasticity. The proposed model is based on CCR model including a property of unit invariance to use the data without normalization process.