• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.431-432
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• 2007

It is necessary for the stabilized operation of the power system even if a severe condition in system operation takes place. There is the need to develop the intelligent Power grid Monitoring System. In this system, the PMU(Phasor Measurement Unit) measures the synchrophasor and transmits it to the PIDS(Power Infrastructure Defense System). The IEEE PC37.118 protocol defines the message format to implement the communication both the PMU and the PIDS. In this paper, We measure and analyze the network traffic from simulated the PMU to simulated the PIDS according to network routing. And, We present the finest network routing in developing the intelligent Power grid Monitoring System.

• International Journal of Quality Innovation
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• v.4 no.2
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• pp.50-64
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• 2003

During IC inspection, which includes the two parts of Mark and Lead, the deviation of IC on the tape occurring in high speed movements usually generates light reflection effect, which in turn causes errors in IC recognition as measured by machine vision system. This research filters the light reflection effect by developing standard components, identifies the correct position of IC Lead, hence fixes the measurement errors or non-measurability caused by light reflection, avoids the resulting discontinued operation of measuring system, and improves the productivity.

• Journal of the Korean Society for Precision Engineering
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• v.21 no.9
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• pp.158-166
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• 2004

A new method to measure residual unbalance of rotor - bearing system was proposed. The method which determine residual unbalance based on polar plot and an analytical method which calculates the residual unbalance of the rotor from the vibration response of the Jeffcott rotor are proposed in this study with respect to a real rotor system of which the residual unbalance is unknown. The unbalance eccentricity of the produced experimental model is 3.78 mil, developing the measurement method of the residual unbalance more convenient than the proposed method of ISO and API standard. The proposed method was experimentally compared with the ISO standard, and the two methods were exactly correspondent to each other within an error of 1%.

• Journal of Information Technology Services
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• v.5 no.1
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• pp.35-46
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• 2006

In recent years, academic scholars and practitioners have given increasing attention to the importance of strategic performance measurement systems including both financial and non-financial performance metrics. The Balanced Scorecard (BSC) is known as integrated performance management framework that helps an enterprise to translate strategic objectives into relevant performance within an organization. While the current literatures and management articles offer BSC design and implementation. there are few reports of detailed validation of using the rationalized sets of CSF (Critical Success Factors) and KPI (Key Performance Indicators) for the Korean construction industry. This paper first propose the perceived sets of CSF/KPI using current literatures and validate with a major construction company's executives and senior managers in Korea. The paper then examines whether the perceived sets of CSF/KPI have co-relationships with the firm performances. The results of the research contribute in heightening of competitiveness of the Korean construction companies in strategic and performance management.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.11a
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• pp.16-17
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• 2019

In order to measure the amount of carbon dioxide emitted from the construction sites, many literature which have been conducted have proposed methodologies for calculating coefficients based on actual data collections for estimating the emission formula. The existing data collected under controlled conditions not on site measurement were too limited to apply in actual sites. The purpose of this study is to conduct analysis based on the data measured in fields and to present predictive models using artificial neural network and nonlinear regression analysis for appropriate predictions and practical applications.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.18 no.35
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• pp.61-70
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• 1995

The objective of this study is In develope on productivity improvement program, which named PPM(Participative Productivity Management). This program consists of 3 stages which are Goal setting and sharing. Productivity measurement and evaluation, and Gain sharing. Each concepts of NGT(Nominal Group Technique), Objectives matrix method and Gain sharing was applied to form this frame. This program rewards members of an organization for their contributions to improve business results. It also fits perfectly with today's participative management philosophies. Furthermore, the company and its employees could be partners a win-win situation, and one more barrier to a high-involvement culture should be eliminated.

• Journal of the Korea Safety Management & Science
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• v.19 no.4
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• pp.221-230
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• 2017

Recently, service quality must reflect several demands of customers who show rapid and various changes so as to be compared with the past. So, objective and rapid methods for them are necessary more. For them, first of all, service company must calculate their standard of service quality accurately by measuring service quality exactly. To measure service quality accurately, this researcher collected and analyzed data by survey for customers who are customers of logistics services, grasped potential satisfaction standard(P) by 5 point Likert scale and one survey for accurate classification of quality attributes through weighted customer satisfaction coefficient changing quality attributes by developing the study on Kano model and Timko's customer satisfaction coefficient, and suggested Potential Customer Satisfaction Improvement index(PCSI) for examining the improvement of customer satisfaction so as to utilize them as an index of differentiated and concrete measurement of service quality.

• Proceedings of the Korean Nuclear Society Conference
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• 1996.05a
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• pp.399-404
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• 1996

We developed a non-contact shape measuring device using computer image processing technology. We present a method of calibrating a CCD video camera and a laser range finder which is the most important step toward making an accurate shape measuring system. An artificial neural network is used for the calibration. Our measurement system is composed of a semiconductor laser. a CCD video camera, a personal computer, and a linear motion table. We think that the developed system could be used for measuring the change in shape of the spent nuclear fuel rod before and after irradiation which is one of the most important tasks for developing a better nuclear fuel. A radiation shield is suggested for the possible utilization of the range finder in radioactive environment.

• Proceedings of the Korean Nuclear Society Conference
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• 1997.05b
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• pp.341-344
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• 1997

A vitrification process is under development in KEPRI for the treatment of low-and medium-level radioactive waste. Although the project is for developing and building Vitrification Pilot Plant in Korea, one of KEPRI's concerns is the quality control of the vitrified glass. This paper discusses a methodology for the estimation of glass composition by on-line measurement of molten glass properties, which could be applied to the plant for real-time quality control of the glass product. By remotely measuring viscosity and density of the molten glass, the glass characteristics such as composition can be estimated and eventually controlled. For this purpose, using the database of glass composition vs. physical properties in isothermal three-component system of SiO$_2$-Na$_2$O-B$_2$O$_3$, a software TERNARY has been developed which determines the glass composition by using two known physical properties(e.g. density and viscosity).

• ETRI Journal
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• v.43 no.5
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• pp.881-890
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• 2021

Photoplethysmography (PPG) is a noninvasive technique that can be used to conveniently measure heart rate (HR) and thus obtain relevant health-related information. However, developing an automated PPG system is difficult, because its waveforms are susceptible to motion artifacts and between-patient variation, making its interpretation difficult. We use deep neural network (DNN) filters to mimic the cognitive ability of a human expert who can distinguish the features of PPG altered by noise from various sources. Systolic (S), onset (O), and first derivative peaks (W) are recognized by three different DNN filters. In addition, the boundaries of uninformative regions caused by artifacts are identified by two different filters. The algorithm reliably derives the HR and presents recognition scores for the S, O, and W peaks and artifacts with only a 0.7-s delay. In the evaluation using data from 11 patients obtained from PhysioNet, the algorithm yields 8643 (86.12%) reliable HR measurements from a total of 10 036 heartbeats, including some with uninformative data resulting from arrhythmias and artifacts.