• Journal of Biomedical Engineering Research
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• v.31 no.1
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• pp.27-32
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• 2010

Noninvasive detection of patients with probable Alzheimer's disease (AD) is of great importance for assisting a medical doctor's decision for early treatment of AD patients. In the present study, we have extracted quantitative electroencephalogram (qEEG) variables, which can be potentially used to diagnose AD, from resting eyes-closed continuous EEGs of 22 AD patients and 27 age-matched normal control (NC) subjects. We have extracted qEEG variables from mean phase coherence (MPC) and EEG coherence, evaluated for all possible combinations of electrode pairs. Preliminary trials to discriminate the two groups with the extracted qEEG variables demonstrated that the use of MPC as a supplementary or alternative measure for the EEG coherence may enhance the accuracy of noninvasive diagnosis of AD.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.21 no.48
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• pp.165-175
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• 1998

The purpose of this study is to propose and to apply new Revised Simulator Sickness Questionnaire(RSSQ) that is effective quantification tool by revising and complementing SSQ because Simulator Sickness Questionnaire(SSQ), which is being used generally to quantify Simulator Sickness has several problems. For this study, we reduced 31 symptoms that are related to Simulator Sickness to 22 symptoms and derived weighting for each other from 15 experts. We developed new RSSQ with 22 symptoms and implemented factor analysis by using 142 RSSQ which is questioned before and after getting on simulator. It was classified to four major symptom groups as the result of the factor analysis. They are Disorientation, Oculomotor, Nausea, and Confuse. The scoring system of RSSQ provides subscales score of Disorientation, Oculomotor, Nausea, and Confuse as well as total severity. The scoring system of RSSQ which is proposed by this study is expected to improve accuracy of measure compared with an existing scoring system of SSQ, and to contribute with understanding the effect of Simulator Sickness more adequately and clearly.

• Proceedings of the Korean Environmental Health Society Conference
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• 2003.06a
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• pp.192-195
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• 2003

To identify the difference between Korean-Chinese and Korean children's variation of pulmonary function with personal factors (suck as age, height, and weight), we performed pulmonary function test (PFT) and measured personal factors of 200 Korean-Chinese children participants from two elementary schools of Beijing and Melons city in China. Regression analysis was utilized to determine which personal factors were significantly correlated with PFT measure (FVC and FEV$_1$). We compared the regression model from this study with those of other studies of Korean children. Similar to other studies, we found that the most important variable, influencing PFT measure, was height, whereas addition of either age or weight in the regression virtually did not increase the accuracy. As the result of comparison of the regression model from this study with those of other studies of Korean children, variation in FVC or FEV$_1$ with height were similar.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.3
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• pp.369-374
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• 2004

A cluster merging algorithm that merges convex clusters resulted by the Fuzzy Convex Clustering(FCC) method into non-convex clusters was proposed. This was achieved by proposing a fast and reliable distance measure between two convex clusters using Support Vector Machines(SVM) to improve accuracy and speed over other existing conventional methods. In doing so, it was possible to reduce cluster number without losing its representation of the data. In this paper, results for several data sets are given to show the validity of our distance measure and algorithm.

• Proceedings of the KIEE Conference
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• 1999.07b
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• pp.832-834
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• 1999

This paper is a study on the real-position measurements of mobile object using n network. 2-D PSD sensor is used to measure th position of moving object with light source. Position Sensitive Detector(PSD) is an useful which can be used to measure the position o incidence light in accuracy and in real-time. T the position of light source of moving target, neural network technique are proposed and applied. Real-time position measurements of the mobile robot with light source is examined to validate the proposed method. It is shown that the proposed technique provides accurate position estimation of the moving object.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1992.10a
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• pp.28-33
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• 1992

The paper describes a new mean specific cutting pressure model in order to improve the accuracy of prediction of cutting force for face milling. The new mean specific cutting pressure model produces a mean specific cutting pressure and coefficients applied to existing cutting model not by traditional method but by considering intermittence and variation of chip width according to insert cutting position to take into cutter geometry machining condition and width of workpiece, and considering a mean measure force according to spindle eccentricity and mean measure force according to spindle eccentricity and insert initial position errors.. The simulated forces in X, Y, Z directions resulted from the simulated cutting model and the new cutting model are compared with measured forces in the time end frequency domains. The simulated forces in the time and frequency domains. The simulated forces resulted from the new cutting model have a good degreement with measured forces in comparison with these resulted from the existing cutting model

• Proceedings of the KSME Conference
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• 2002.08a
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• pp.217-220
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• 2002

The assessment of PIV to measure the mean velocity and turbulence was carried out over a train of fixed two-dimensional dunes. The agreement between the PIV and LDV is good enough even in regions of flow reversals and high shear. Though limited in the wall normal direction field-of-view, PIV provides instantaneous flow fields, which reveal the complex nature of flow over dunes, as well as more sophisticated analyses such as two-point space correlation and quadrant analysis with a reasonable accuracy.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.30 no.6 s.249
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• pp.637-642
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• 2006

A plastic zone size is regarded as a measure of material resistance, and also it determines the fracture behavior. The importance of estimating or measuring the plastic zone size cannot be too emphasized. In this article, SDSP(Stereo Digital Speckle Photography) is examined as a new techniques to measure the plastic zone developed in a ductile metal. This technique is simple, vibration free and non-contact, and measures simultaneously in-plane displacements as well as out-of plane displacements like the side necking. Experimental results for a CT specimen are presented to demonstrate the accuracy in comparison with those obtained by recrystallization technique and finite element analysis.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.1220-1223
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• 2003

The UV nanoimprint technology uses the UV light as the energy source. Because the imprint process is carried out in room temperature and low pressure, this technology has its own merits compared to the thermal nanoimprint. However, in UV nanoimprint technology, a resin which has low viscosity is essential for the improvement of accuracy. In this research, a resin (named as IMS01) which has relatively low viscosity was developed. And a measurement system was developed in order to measure the degree of cure of the resin. The measurement system which is composed of FT-IR, UV light source and optical guide can measure the degree of cure in real time. From the experimental results, it was found that the IMS01 is cured more rapidly than existing resin (PAK01).

• New & Renewable Energy
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• v.4 no.4
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• pp.23-29
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• 2008

Wind farm development project contains high business risks because that a wind farm, which is to be operating for 20 years, has to be designed and assessed only relying on a year or little more in-situ wind data. Accordingly, long-term correction of short-term measurement data is one of most important process in wind resource assessment for project feasibility investigation. This paper shows comparison of general Measure-Correlate-Prediction models and neural network, and presents new method using neural network for increasing prediction accuracy by accommodating multiple reference data. The proposed method would be interim step to complete long-term correction methodology for Korea, complicated Monsoon country where seasonal and diurnal variation of local meteorology is very wide.