• Journal of Korea Multimedia Society
• /
• v.20 no.8
• /
• pp.1395-1405
• /
• 2017

In this paper, we analyses heart beat data to identify subjects stress state (binary) using heart rate variability (HRV) features extracted from heart beat data of the subjects and implement supervised machine learning techniques to create the mental stress classifier. There are four steps need to be done: data acquisition, data processing (HRV analysis), features selection, and machine learning, before doing performance measurement. There are 56 features generated from the HRV Analysis module with several of them are selected (using own algorithm) after computing the Pearson Correlation Matrix (p-values). The results of the list of selected features compared with all features data are compared by its model error after training using several machine learning techniques: support vector machine, decision tree, and discriminant analysis. SVM model and decision tree model with using selected features shows close results compared to using all recording by only 1% difference. Meanwhile, the discriminant analysis differs about 5%. All the machine learning method used in this works have 90% maximum average accuracy.

• Journal of Korean Society for Atmospheric Environment
• /
• v.20 no.1
• /
• pp.17-31
• /
• 2004

The subway play an important part in serious traffic problems. However, because subway system is a closed environment, many serious air pollution problems occurred in subway stations and injured passenger's health. Therefor, it is a necessary to identify sources and to estimate pollutant sources in order to protect passenger's health and to keep clean subway environment. The purpose of this study was to analyze a air quality in the subway stations and to apply a new receptor methodology for quantitatively estimate of PM10 sources. In this study, the size distributions of particulate matters has been measured by using Aerosizer LD (U.S.A., API, Inc.). It's real time measurement capability of time-of-flight technique offers a significant advantage of user convenience and air pollution management. Also, the mass concentrations of PM 10 has been measured by using mini-vol portable sampler (U.S.A., Airmetrics Co.). The sampling performed in Seoul subway stations during the period of February 2000 and April 2000. The number distribution data used in this study consisted of 26 raw data sets in the Jongno-sam-ga station. Correlation Analysis can be used in subway stations for source separation and identification. Then, number contribution from each source is determined by the particle number balance (PNB). The mass concentration data used in this study consisted of 31 raw data in the 8 different stations. The mass contributions of PM10 sources in the concourse by using PMF/CMB model.

• Journal of the Korean Society of Food Science and Nutrition
• /
• v.23 no.3
• /
• pp.472-480
• /
• 1994

Allicin was synthesized for the purpose of identification an dquantitation of a pharmaceutical dosage form in soft capsules. The identified transformed products fro allicin were dially disulfide , 3-vinyl-[4H]-1, 2-dithiin and 2-vinyl-[4H]-1, 3-dithiin in gas chromatrographic conditions and dially disulfide and ajoene in HPLC. Allicin is thermally unstable , it may be completely decomposed to vinyl dithiin isomers in GC conditions. For that reason, allicin was not found directly in the pharmaceutical dosage forms. In HPLC conditions, mobile phase was methanol /water containing 0.1% formic acid(65/35) and column was $\mu$-Bondapak C18. Detection wa-velength was 254nm. The retention time of allicin was 6.98min. The calibration ranger for allicin was 10 $\mu\textrm{g}$/ml to 200$\mu\textrm{g}$/ml and correlation coefficient(r) was 0.987.

• Journal of Oral Medicine and Pain
• /
• v.14 no.1
• /
• pp.43-55
• /
• 1989

The need of age estimation for identification was increased by complexity of society, and the tooth was used widely for age estimation because of less individual deviation than the other organ. The age estimation using the tooth had several methods. Recently, the one using the racemization of aminoacid in the tooth was admitted more accurate than the other methods, especially in old age. But, this study was not tried in our country, and I would report the result of experiment about age estimation using racemization of dentine. I selected 40-Whole dentine sample from extracted teeth, those were reserved in natural dried condition for 2 weeks~ 1year and calculated the estimation of age from the ratio of D-aminoacid and L-aminoacid (D/L ratio) using gaschromatography and the results were below. 1. The aminoacids showed apparent K/L ratio in dentine were aspartic acid, serine. 2. The aspartic acid showed the highest racemic rate and its rate was 0.0012$\pm$0.0003/yr. 3. The relation between the actual age and K/L ratio was very positive correlation(r+0.954) in the estimation of age using aspartic acid. 4. The deviation between the estimated age using D/L ratio of aspartic acid and actual age was $\pm$3.32.

• IEIE Transactions on Smart Processing and Computing
• /
• v.1 no.1
• /
• pp.17-26
• /
• 2012

This paper presents an image processing-based validation method for unrecognizable numbers in severely distorted license plate images which have been degraded by various factors including low-resolution, low light-level, geometric distortion, and periodic noise. Existing vehicle license plate recognition (LPR) methods assume that most of the image degradation factors have been removed before performing the recognition of printed numbers and letters. If this is not the case, conventional LPR becomes impossible. The proposed method adopts a novel approach where a set of reference number images are intentionally degraded using the same factors estimated from the input image. After a series of image processing steps, including geometric transformation, super-resolution, and filtering, a comparison using cross-correlation between the intentionally degraded reference and the input images can provide a successful identification of the visually unrecognizable numbers. The proposed method makes it possible to validate numbers in a license plate image taken under low light-level conditions. In the experiment, using an extended set of test images that are unrecognizable to human vision, the proposed method provides a successful recognition rate of over 95%, whereas most existing LPR methods fail due to the severe distortion.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2006.11a
• /
• pp.75-81
• /
• 2006

Recently, customers interest about noise of household electric appliance is growing. so, designer of product must study to reduce noise of product. Specially, in case of household electric appliance such as washing machine, there was consumers' complaint about noise that is radiated under dehydrating condition. But, in the case of washing machine, identification of noise source is not easy when washing machine is under dehydrating condition. Because various noise source influence each other, it is difficult to find out pure contribution degree about output noise. Multi-Dimensional Spectral Analysis(MDSA) is method that can remove correlation between inputs each other and express pure contribution degree about output of single input. So in this study, we analyzed contribution of each noise source on transfer pass of noise that is radiated at dehydration of washing machine using MDSA.

• Journal of Korean Society for Atmospheric Environment
• /
• v.13 no.1
• /
• pp.51-63
• /
• 1997

Total suspended particulate matters in the ambient air were analyzed for eight chemical elements (Ca, Co, Cu, Fe, Mn, Pb, Si, and Zn) using an x-ray fluorescence spectrometry (XRF) at the Kyung Hee University - Suwon Campus during 1989 to 1994. To use these data as basis for source identification study, membership of each sample was selected to represent one of the well defined sample groups. The data sets consisting of 83 objects and 8 variables were initially separated into two groups, fine (d$_{p}$<3.3 ${\mu}{\textrm}{m}$) and coarse particle groups (d$_{p}$>3.3 ${\mu}{\textrm}{m}$). A hierarchical clustering method was examined to obtain possible member of homogeneous sample classes for each of the two groups by transforming raw data and by applying various distances. A disjoint principal component analysis was then used to define homogeneous sample classes after deleting outliers. Each of five homogeneous sample classes was determined for the fine and the coarse particle group, respectively. The data were properly classified via an application of logarithmic transformation and Euclidean distance concept. After determining homogeneous classes, correlation coefficients among eight chemical variables within all the homogeneous classes for calculated and meteorological variables (temperature. relative humidity, wind speed, wind direction, and precipitation) were examined as well to intensively interpret environmental factors influencing the characteristics of each class for each group. According to our analysis, we found that each class had its own distinct seasonal pattern that was affected most sensitively by wind direction.ion.

• Ocean and Polar Research
• /
• v.33 no.2
• /
• pp.127-133
• /
• 2011

The comet assay, also called single-cell electrophoresis (SCGE) assay, is a potential sensitive monitoring tool for DNA damage in cells. The primary objective of this study was to use comet assay to ascertain if the blood cells of flounder (Pleuronichthys olivaceus) and muscle cells of clam (Saxidomus purpurata) are suitable for genotoxicity screening. This was achieved by initially exposing blood and muscle cells under in vitro conditions to the reference genotoxin hydrogen peroxide ($H_2O_2$); strong correlation between $H_2O_2$ concentration and comet values were found. Subsequently, the identification of DNA damage in isolated cells from flounder and clam was performed under in vivo exposure to benzo(a)pyrene (BaP) and tributyltin (TBT). Flounder and clam were exposed to different concentrations (1, 10, 50, 100 ${\mu}g/L$) of BaP or TBT for 4 days. Regardless of treated chemicals, blood cells of flounder were more prone to DNA breakage compared to muscle cells of clam. In conclusion, in vivo genotoxicity of BaP and TBT can be biomonitored using the comet assay. This study suggests that flounder and clam do show potential as mediums for monitoring genotoxic damage by comet assay.

• Transactions of the Korean Society for Noise and Vibration Engineering
• /
• v.18 no.9
• /
• pp.972-981
• /
• 2008

The blower which is installed in a FCEV(fuel cell electric vehicle) may cause noise due to misalignment and unbalance of mechanical components that rotate at high speed. One of the key points in efforts to minimize the noise radiation from a blower is the knowledge of the main radiating component and the relation between the surface vibration of a blower and the sound pressure. In this research, the blower model is developed based on FEM(finite element method). FE(finite element) model is reliable by correlation of frequencies and MAC(modal assurance criterion) values between EMA(experimental modal analysis) and FEA(finite element analysis). This model is applied to predict the vibration of a blower by using inverse force identification method and predict the radiating noise by using BEM(boundary element method). Comparing the frequencies of resonance and those mode shapes between EMA and FEA, a structural modification of the FE model is evaluated for reducing the parameters of the blower noise.

• The Korean Journal of Community Living Science
• /
• v.21 no.2
• /
• pp.191-200
• /
• 2010

The purpose of this study was to research the differences between gender roles and creativity. This study was done based on 178 pre-service teachers who were from the Department of Early Childhood Education in Universities around the Busan area. The researchers have collected statistical data by questioning pre-service teachers about creative thinking tests, creative personality tests, and gender role identification awareness tests. The data was interpreted by the Paerson's Simple Product-moment Correlation Coefficient method, the one-way ANOVA method, and the $Sch\acute{e}ffe$ Post-hoc comparison method. According to this study, the group perceived of high androgyny type group showed the highest level in important factors of creative thinking, such as fluency, elaborateness, ness, and openness. This result meant that the more a pre-service teacher was aware of the identity of gender roles, the more she or he thought creatively. Additionally, the acceptance of authority, an element of the creative personality factor, showed the highest level in a high feminity type group. On the other hand, self confidence, inquisitiveness, and disciplined imagination showed the highest level in a group which perceived the identity of androgyny type roles.