• Journal of the Institute of Electronics Engineers of Korea SC
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• v.48 no.2
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• pp.64-70
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• 2011

Portable artificial electronic nose (E-nose) system suffers from noisy fluctuation in surroundings such as temperature, vapor concentration, and gas flow, because its measuring condition is not controled precisely as in the laboratory. It is important to develop a simple and robust vapor recognition technique applicable to this uncontrolled measurement, especially for the portable measuring and diagnostic system which are expanding its area with the improvements in micro bio sensor technology. This study used a PDA-based portable E-nose to collect the uncontrolled vapor measurement signals, and applied the image matching algorithm developed in the previous study on the measured signal to verify its robustness and improved accuracy in portable vapor recognition. The results showed not only its consistent performance under noisy fluctuation in the portable measurement signal, but also an advanced recognition accuracy for 2 similar vapor species which have been hard to discriminate with the conventional maximum sensitivity feature extraction method. The proposed method can be easily applied to the data processing of the ubiquitous sensor network (USN) which are usually exposed to various operating conditions. Furthermore, it will greatly help to realize portable medical diagnostic and environment monitoring system with its robust performance and high accuracy.

• Journal of Biomedical Engineering Research
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• v.25 no.5
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• pp.329-334
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• 2004

The electronic nose (E-nose) recently finds its applications in medical diagnosis, specifically on detection of diabetes, pulmonary or gastrointestinal problem, or infections by examining odors in the breath or tissues with its odor characterizing ability. The odor recognition performance of E-nose can be improved by manipulating the sensor array responses of vapors in time-profile forms. The different chemical interactions between the sensor materials and the volatile organic compounds (VOC's) leave unique marks in the signal profiles giving more information than collection of the conventional piecemal features, i.e., maximum sensitivity, signal slopes, rising time. In this study, to use them in vapor recognition task conveniently, a novel time-profile method was proposed, which is adopted from digital image pattern matching. The degrees of matching between 8 different vapors were evaluated by using the proposed method. The test vapors are measured by the silicon-based gas sensor array with 16 CB-polymer composites installed in membrane structure. The results by the proposed method showed clear discrimination of vapor species than by the conventional method.

• Fashion & Textile Research Journal
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• v.18 no.2
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• pp.184-193
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• 2016

This study investigates the recognition and preference of functional textile material about outdoor clothing widely used in the current fashion market. The study targeted 216 males and females in their 20s to 50s who wear outdoor clothing as casual wear. To analyze data, frequency analysis, cross tabulation analysis and ANOVA were conducted with the SPSS 21.0 statistical package. The results are as follows. First, recognition of functional textile material of outdoor clothing showed that 20s was the lowest preference and all age groups preferred lightweight textile material. In information recognition of functional outdoor clothing, 40s showed the highest recognition, while 20s showed the lowest recognition. Second, 40s and 50s preferred functional material to 20s and 30s. In particular, 40s and 50s preferred clothing items with water vapor permeability & water repellent material to 20s and 30s. All age groups preferred insulation material jumpers, water vapor permeability & water repellent material jumpers and stretch pants. Third, reasons for purchasing functional material clothing was: design for the age group 20s and 30s versus health and function for the age group 40s and 50s. It is necessary to develop functional clothing products based on exact consumer information and preferences.

• Korean Chemical Engineering Research
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• v.48 no.5
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• pp.574-582
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• 2010

In this study, the possibility of a quartz crystal micro-balance(QCM) modification of crystallization of L-Penicillamine and D-Penicillamine with a Vapor Diffused Molecular Assembly Technique and its application to the R-(-)-Mandelic acid and S-(+)- Mandelic acid measurement was investigated. The 3-dimensional structures of L-Penicillamine and D-Penicillamine on the surface of QCM were verified to be different from each other through QCM and AFM analyses. The D-Penicillamine modified QCM had specific recognition to the R-(-)-Mandelic acid, but L-Penicillamine modified QCM had no specificity to the R-(-)-Mandelic acid and S-(+)- Mandelic acid. From these results, it was known that the QCM could be modified with various selective meterials via VDMA, and the chiral isomer such as a Mandelic acid isomer could be detected by using a modified QCM.

• Journal of Sensor Science and Technology
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• v.14 no.2
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• pp.69-77
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• 2005

The electronic nose (e-nose) has been used in food industry and quality controls in plastic packaging. Recently it finds its applications in medical diagnosis, specifically on detection of diabetes, pulmonary or gastrointestinal problem, or infections by examining odors in the breath or tissues with its odor characterizing ability. Moreover, the use of portable e-nose enables the on-site measurements and analysis of vapors without extra gas-sampling units. This is expected to widen the application of the e-nose in various fields including point-of-care-test or e-health. In this study, a PDA-based portable e-nose was developed using micro-machined gas sensor array and miniaturized electronic interfaces. The rich capacities of the PDA in its computing power and various interfaces are expected to provide the rapid and application specific development of the diagnostic devices, and easy connection to other facilities through information technology (IT) infra. For performance verification of the developed portable e-nose system, Six different vapors were measured using the system. Seven different carbon-black polymer composites were used for the sensor array. The results showed the reproducibility of the measured data and the distinguishable patterns between the vapor species. Additionally, the application of two typical pattern recognition algorithms verified the possibility of the automatic vapor recognition from the portable measurements. These validated the portable e-nose based on PDA developed in this study.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.50 no.spc1
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• pp.200-203
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• 2005

This study was performed to investigate the differences among three varieties of Mugwort by using the electronic nose. Volatile components from these products were discriminated by the $VaporPrint^{TM}$ without pretreatment. Pattern recognition was carried out, $VaporPrint^{TM}$ analysis showed the differences among locally produced ones. Polar derivative pattern for the collected mugwort using $VaporPrint^{TM}$ between Sajabalssuk and Sajuarissuk had no difference, but Ssajuarissuk nnd Injinssuk had a lot of difference. Thus aroma pattern between locally produced ones could be distinguished.

• Korean Journal of Food Science and Technology
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• v.35 no.5
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• pp.994-997
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• 2003

Domestic and imported Cnidium officinale were investigated using GC based on a SAW sensor. Volatile components from the herb were detected by GC with a Surface Acoustic Wave (SAW sensor without any pretreatment. This system produced a frequency proportional to the amount of column effluent deposited on the SAW sensor. It could discriminate between domestic and imported Cnidium officinales. This was achieved by using a pattern recognition and a visual pattern called a $VaporPrint^{TM}$, derived from the frequency and chromatogram of the GC-SAW sensor. The origins of Cnidium officinale was well discriminated with the direct use of $VaporPrint^{TM}$.

• Journal of the Korean Society of Earth Science Education
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• v.7 no.3
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• pp.313-326
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• 2014

The purpose of this study is to explore the applying possibility of the Earth Systems Education(ESE) in elementary school science education through the improving of students' recognition with the earth systematic nature by systems thinking education - for this was the recognizing as earth systematic nature was the key element of ESE, and the systems thinking skill is accredited very effective tool for the understanding with earth systematic nature. For this, the systems thinking's teaching-learning programs were developed and applied to the 6th students (21s) for 10hours' classes. The results of this study are as follows; In most of the 6th students didn't recognize with earth systematic nature from a lack of understanding of the vapor being in every nature environments. In systems teaching-learning classes, most of students participated positively in learning activities and achieved the aim of a lesson. In the testing results for students' recognition improving to earth systematic nature after the systems thinking education, about 24% students were showed the improving results of the recognition with earth systematic nature. Consequently, It is suggested that just as the achieving of the points of ESE in elementary school science education, the approaching method of the systems thinking education is worth attempting to applying of the ESE.

• Journal of Sensor Science and Technology
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• v.27 no.3
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• pp.186-191
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• 2018

Smart textile industries have been precipitously developed and extended to electronic textiles and wearable devices in recent years. In particular, owing to an increasingly aging society, the elderly healthcare field has been highlighted in the smart device industries, and pressure sensors can be utilized in various elderly healthcare products such as flooring, mattress, and vital-sign measuring devices. Furthermore, elderly healthcare products need to be more lightweight and flexible. To fulfill those needs, textile-based pressure sensors is considered to be an attractive solution. In this research, to apply a textile to the second layer using a pressure sensing device, a novel type of conductive textile was fabricated using vapor phase polymerization of poly(3,4-ethylenedioxythiophene) (PEDOT). Vapor phase polymerization is suitable for preparing the conductive textile because the reaction can be controlled simply under various conditions and does not need high-temperature processing. The morphology of the obtained PEDOT-conductive textile was observed through the Field Emission Scanning Electron Microscope (FESEM). Moreover, the resistance was measured using an ohmmeter and was confirmed to be adjustable to various resistance ranges depending on the concentration of the oxidant solution and polymerization conditions. A 3-layer 81-point multi-pressure sensor was fabricated using the PEDOT-conductive textile prepared herein. A 3D-viewer program was developed to evaluate the sensitivity and multi-pressure recognition of the textile-based multi-pressure sensor. Finally, we confirmed the possibility that PEDOT-conductive textiles could be utilized by pressure sensors.

• Journal of the Korean Society of Industry Convergence
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• v.6 no.1
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• pp.31-36
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• 2003

8개의 수정진동자 위에 서로 다른 종류의 Lipid를 코팅하여서 만든 센서 배열을 가지고 유기용매를 인식할 수 있는 System을 구성한다. 유기용매 인식센서에 대한 수학적 모델을 사용하여 여러 가지 유기용매에 대한 센서의 응답으로부터 센서 표면과 유기용매 간의 물질 전달속도 패턴과 친화력 패턴을 얻어 유기용매 종류를 인식하였다. 패턴인식은 인공신경망을 이용하였으며 인공신경망의 연결 강도 수정은 Levenberg-Marquardt 알고리즘을 사용하였다. 신경망의 출력은 4개로 하였고, 디지털 신호인 0과 1의 조합으로 유기용매 종류를 구분하였다. 이 시스템을 이용하여 9개의 유기용매 Acetone, Benzene, Chloroform, Carbon-tetrachloride, Ethylacetate, Buthylacetate, Cyclohexane, Dichloromethane, 1,1,2,2,Tetrachloroethane, 2,2,4Trimethylpentane을 구분하여 인식할 수 있었다.