• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2012.04a
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• pp.88-93
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• 2012

Recently data centers are being established or expanded according to IT industry development. A data center must be to install emergency generator. In case of the data center located the densely populated urban area, the operating noise of an emergency generator can be the cause of complains. In this case, in order to establish an effective and economical measure and quantitative and thorough review is needed by noise & vibration specialists. To achieve this, in this study, it is suggested noise reduction measure using noise measurement data and 3D noise analysis method.

• Proceedings of the KIEE Conference
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• 2006.04a
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• pp.342-344
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• 2006

During last years, large investments have been directed to development and research of nano-technological products like semiconductor, display panel, optic-fiber communication components, life technology, and ultra-precision components. All quantitative measurements at nanometre scale should guarantees accurate results and high quality. Laser interferometer is one of most famous nanometre scale devices to be able to measure metre-scale distance with nanometre scale resolution, but it is easily affected by various error causes like geometrical, instrumental and environmental factor. On the other side, capacitive sensor is robust to above error factors, but it is able to measure relatively shorter distance, under $100{\mu}m$, than laser interferometer. New error correction method for laser interferometry using capacitive sensor will be introduced in this paper.

• International Journal of Safety
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• v.7 no.1
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• pp.39-43
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• 2008

With ever increasing number of citizen using subway stations everyday, safety, health and comfort of passengers and occupants (mostly metro personnel) have become important social issues. Considering the fact that various physical variables and pollutants such as particulate, VOCs and biological agents are closely related to indoor air quality (IAQ) which may cause health problems, a method of quantitative assessment using information-theoretic measure on such variables needs to be devised and implemented for comfort, health and safety of passengers and occupants in the subway station. A basic framework for assessing indoor air quality (for comfort and health) and safety in subway station is suggested. In particular, application of information-theoretic measure for the assessment of indoor air quality, comfort and safety in subway station is discussed. Some examples are presented as well.

• Journal of the Korean Applied Science and Technology
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• v.27 no.2
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• pp.144-151
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• 2010

Over the years, scientists have developed many test methods to evaluate the efficacy of skin care products. The needs for objective assessment have stimulated to develop instruments that are capable of reliably monitoring some parameters in evaluating skin conditions. The beauty is evaluated as a measure of smoothness of skin surface. Quantitative size measurements of skin pores is also important concept to evaluate the their conditions. The purpose of this paper is to measure the temperature change of skin and the size of pores in the skin. The pore sizes were changed by its varying skin temperature. They were decreased by applying a essence which is contained with propellant and contents.

• Journal of Information Technology Services
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• v.7 no.2
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• pp.13-23
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• 2008

This research is to study the core factors for knowledge information database service and very important database service quality factors to improve customer satisfaction. The database service quality has been critical issue rather than just information service in these days, because the qualitative aspect is becoming more important factors rather than quantitative aspect. As database service quality has been influenced by satisfaction of database user, it needs to try to get excellent results by enhancing ability to obtain information. In order to satisfy this condition, it needs to measure database service quality more accurately first. In this study, we apply conjoint analysis to measure how much to give quality condition to achieve customer satisfaction.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.1
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• pp.42-45
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• 2017

In this letter, we present an experimental comparative study of background subtraction algorithms for soccer video analysis. We investigated five different background subtraction algorithms under the same experimental setup. For the quantitative comparison, we employed the precision, recall, and F-measure. We believe that this comprehensive comparative study serves as a reference point and guide for developers and practitioners in choosing an appropriate background subtraction algorithm adopted for building intelligent soccer video analysis systems.

• Korean Management Science Review
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• v.24 no.2
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• pp.1-18
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• 2007

This paper presents a consolidated patent index to measure national technology innovation and science technology activation, as well as index for the main constituent such as corporation, research organization by comprehensive analysis of existing patent index. It is classified by macroscopic index and analytical index in the consolidated patent index, in which macroscopic index is to present a degree of innovation in national scientific innovation and is divided into the Consolidated Patent Index and Index for comparison between countries. The analytical index basically designed to measure R&D activity by the main constituent is divided to present by quantitative index utilizing bibliographical data in patent and other technical publication related therein, and qualitative index for analysis of bibliographical data. In this paper, the Consolidated Patent Index is presented by adding Creation Index representing for patent by developing excellent technology, Evaluation Index representing valuable technology thereof, and Utility Index representing applicability diffused.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2004.11a
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• pp.361-368
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• 2004

The purpose of the study was to explore the potential of the Social Network Analysis as an analytical tool for scientific investigation of learner-learner, or learner-tutor interaction within an Computer Supported Corporative Learning (CSCL) environment. Theoretical and methodological implication of the Social Network Analysis had been discussed. Following theoretical analysis, an exploratory empirical study was conducted to test statistical correlation between traditional performance measures such as achievement and team contribution index, and the centrality measure, one of the many quantitative measures the Social Network Analysis provides. Results indicate the centrality measure was correlated with the higher order learning performance and the peer-evaluated contribution indices. An interpretation of the results and their implication to instructional design theory and practices were provided along with some suggestions for future research.

• Journal of Information Display
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• v.2 no.2
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• pp.32-38
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• 2001

PDP(plasma display panel) represents the gray levels by the pulse number modulation technique that results in undesirable dynamic false contours on moving images. This paper proposes a LUT(Look-up table) based error diffusion algorithm for reduction of the dynamic false contours. A quantitative measure of the dynamic false contours is defined first. The measure of the dynamic false contours is calculated through simulation of every gray level combination of two consecutive frames. Based on the calculated measures, a modified gray level for a pair of gray levels of two consecutive frames is chosen to reduce the dynamic false contours. The chosen gray levels serve as contents of a gray level conversion LUT. Given a pair of gray levels of two consecutive frames, the gray level of current frame is modified based on the gray level conversion LUT. The new gray level is displayed on PDP. An error diffusion algorithm is, then, applied to compensate for the differences in the gray levels.

• Journal of the Korea Society of Computer and Information
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• v.22 no.5
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• pp.65-72
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• 2017

Premature Ventricular Contraction(PVC) arrhythmia is most common abnormal-heart rhythm that may increase mortal risk of a cardiac patient. Thus, it is very important issue to identify the specular portraits of PVC pattern especially from the patient. In this paper, we propose a new method to extract the characteristics of PVC pattern by applying K-means machine learning algorithm on Heart Rate Variability depicted in Poinecare plot. For the quantitative analysis to distinguish the trend of cluster patterns between normal sinus rhythm and PVC beat, the Euclidean distance measure was sought between the clusters. Experimental simulations on MIT-BIH arrhythmia database draw the fact that the distance measure on the cluster is valid for differentiating the pattern-traits of PVC beats. Therefore, we proposed a method that can offer the simple remedy to identify the attributes of PVC beats in terms of K-means clusters especially in the long-period Electrocardiogram(ECG).