• Proceedings of the KSRS Conference
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• 2002.10a
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• pp.690-695
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• 2002

In this forest fire experiment the ThermoViewer was set up on the platform built on a tree and observed the temperature change, before, during and after the fire. The fire experiment had been carried out not only the day of the forest fire experiment but also continued for four months after the forest fire had been gone. The results from the experiment showed that the temperature difference is significant in the afternoon; therefore, afternoon satellite passing is better and suitable time for active forest fires and burnt scars detection; moreover, after 83 days, the burnt and un-burnt vegetation become almost the same condition, fully regenerated and the temperature difference become nearly 0$^{\circ}$ Celsius, so there is not enough temperature different between burnt and un-burnt vegetation for current sensors to distinguish the difference anymore.

• Journal of Fashion Business
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• v.13 no.3
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• pp.109-117
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• 2009

To set up the outstanding and scientific dyeing method in making the condensed liquid of pigment obtained from onion skins and the improved reliability, the following basic experiments were performed. The pigment was extracted in the distilled water at $70^{\circ}C$ and methanol at room temperature and then it was analyzed with LC/MS/MS system (Liquid Chomatography/Mass Spectroscopy/Mass Spectroscophy, LIQ Advantage Max, Thermo Finnigan, USA) for its pigmental characteristics. The unrefined silk and refined silk were dyed by making use of the derived pigment in such a way. The chromameter (CR-200, Minolta, Japan) was used to measure the change in surface color in textiles to be dyed by the extracting condition and the color difference ${\Delta}E$ was determined according to the color difference formula CIE LAB through measuring the psychometric lightness L* and chromaticity coordinates a* and b*.

• Bulletin of the Korean Chemical Society
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• v.21 no.12
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• pp.1207-1212
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• 2000

The free energy simulation technique is used to evaluate the relative binding affinity of a set of hydroxyethylene isostere inhibitors of the HIV-1 protease. The binding reactions and an alchemical mutation construct the thermodynamic cycle, which reduces the free energy difference of the binding interactions into that of the alchemical processes. In the alchemical process, a methyl group is mutated into a hydrogen atom. Albeit the change is a small perturbation to the inhibitor-protease complex, it results in 25 fold difference in the binding constants. The simulation reproduces the experimentally measured binding affinities within 2% of the free energy difference. The protonation state of the catalytic aspartic acid residues is also investigated through the free energy simulations.

• International Journal of Advanced Culture Technology
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• v.7 no.2
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• pp.1-6
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• 2019

The central purpose of the current research is to identify how 12-week bodybuilding exercise affects muscle dysmorphia. The research subjects consisted of an experimental group and a control group, each with 16 freshmen at college. MDI(muscle dysmorphic inventory), developed by Schlundt, Woodford, Brownlee(2000) was utilized to collect relevant data, which was analyzed by PASW 18.0. An independent two sample t-test was conducted to see whether there exists any significant difference between the two groups in the pre- and the post-tests. A paired t-test, in turn, was performed to identify whether there is any difference between the two tests for each group. The statistical significance level was set at p<.05. It was found that the experimental group marked a higher level of muscle dysmorphia than the control group in the pre-test. It was also found that muscle dysmorphia of the experimental group increased in the post-test, while no significant difference was manifested in the control group in the post-test.

• Korean Journal of Community Nutrition
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• v.3 no.2
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• pp.261-272
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• 1998

The purpose of this study was to develop, implement and evaluate a nutrition education program for middle aged men at a worksite. To be read easily, induce interest, and selected at need, seven 6-page leaflet aets were developed, which was the most preferable from chosen by the subjects. The contents of leaflet set were [Changing life style], [Good food habit],[Weight control and diet],[Cardiovascualr disease and diet], [Alimentary disease and diet],[Diaabetes and diet],and [Liver disease and diet]. Nutrition education was provided for 61 middle aged men(30 professors, 31 office workers) at a worksite from 40 mins to one hour. And the level of nutrition knowledge and nutrition attitude were tested to evaluate the effects of the nutrition education program with a developed leaflet set before and after nutrition education. After the nutrition deucation. the nutrition knowledge score had increased significantly at p<0.001, from average 9.3 point to 11.4 point. The level of nutrition knowledge was increased significantly at p<0.001, and the prevalence of misconceptions and the uncertainty of knowledge were decreased significantly at p<0.05. There was a significant difference between professors and office workers both before and after the program. Also, there was a significant increase in the attitude about nutrition score after the program and this means that the subjects were flexibly more open minded about nutrition than before(from 39.9 point, at p<0.001). The difference in the nutrition attitude score between professors and office workers was not significant both before and after the nutrition deucation. The developed leaflet set was evaluated very positively in understanding, interest, timing, and usage by the subjects.

• Investigative Magnetic Resonance Imaging
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• v.24 no.3
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• pp.123-131
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• 2020

Purpose: Joint label fusion (JLF) is a popular multi-atlas-based segmentation algorithm, which compensates for dependent errors that may exist between atlases. However, in order to get good segmentation results, it is very important to set the several free parameters of the algorithm to optimal values. In this study, we first investigate the feasibility of a JLF algorithm for prostate segmentation in MR images, and then suggest the optimal set of parameters for the automatic prostate segmentation by validating the results of each parameter combination. Materials and Methods: We acquired T2-weighted prostate MR images from 20 normal heathy volunteers and did a series of cross validations for every set of parameters of JLF. In each case, the atlases were rigidly registered for the target image. Then, we calculated their voting weights for label fusion from each combination of JLF's parameters (r_pxy, r_pz, r_sxy, r_sz, β). We evaluated the segmentation performances by five validation metrics of the Prostate MR Image Segmentation challenge. Results: As the number of voxels participating in the voting weight calculation and the number of referenced atlases is increased, the overall segmentation performance is gradually improved. The JLF algorithm showed the best results for dice similarity coefficient, 0.8495 ± 0.0392; relative volume difference, 15.2353 ± 17.2350; absolute relative volume difference, 18.8710 ± 13.1546; 95% Hausdorff distance, 7.2366 ± 1.8502; and average boundary distance, 2.2107 ± 0.4972; in parameters of r_pxy = 10, r_pz = 1, r_sxy = 3, r_sz = 1, and β = 3. Conclusion: The evaluated results showed the feasibility of the JLF algorithm for automatic segmentation of prostate MRI. This empirical analysis of segmentation results by label fusion allows for the appropriate setting of parameters.

• Journal of Fashion Business
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• v.19 no.4
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• pp.153-167
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• 2015

This paper proposes knit slacks patterns by lower body shape of middle-aged women. In addition, this paper aims to propose a design method for a prototype of nice knit slacks using the properties of knitwear. To select basic woven slack patterns which would be used in designing prototype of knit slacks for middle-aged women, two industrial slack patterns and two educational slack patterns were collected, and lab coats were prefabricated using muslin. Then, a shape test was performed by an evaluation board which consisted of eight experts who majored in Clothing Construction. Using blended yarn (1/17's) with 64% wool, 23% rayon and 13% nylon, 12G knit slacks in plain stitch were made. In terms of waist circumference of knit slacks, the front and the back were set to W/4+1+2(D) and W/4-1+2(D), respectively, with 1cm of difference using waist circumference (Omphalion) to cover the abdominal circumference. To make the front-back width of the side line even, the front waist circumference was increased by 1cm. The ease of hip circumference was set to 4cm in total with H/4+1+0.8 in front and H/4+1-0.8 in the back (0.8cm in difference). Crotch length was set by adding 3cm (width of waist belt) after deducting crotch height from waist height (Omphalion). The center front angle was shifted by 1cm while the center back angle was shifted from the center front to the side line by 5cm.

• Imaging Science in Dentistry
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• v.45 no.3
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• pp.153-158
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• 2015

Purpose: The purpose of this study was to evaluate and compare the efficacy of cone-beam computed tomography (CBCT) and digital intraoral radiography in diagnosing simulated small external root resorption cavities. Materials and Methods: Cavities were drilled in 159 roots using a small spherical bur at different root levels and on all surfaces. The teeth were imaged both with intraoral digital radiography using image plates and with CBCT. Two sets of intraoral images were acquired per tooth: orthogonal (PA) which was the conventional periapical radiograph and mesioangulated (SET). Four readers were asked to rate their confidence level in detecting and locating the lesions. Receiver operating characteristic (ROC) analysis was performed to assess the accuracy of each modality in detecting the presence of lesions, the affected surface, and the affected level. Analysis of variation was used to compare the results and kappa analysis was used to evaluate interobserver agreement. Results: A significant difference in the area under the ROC curves was found among the three modalities (P=0.0002), with CBCT (0.81) having a significantly higher value than PA (0.71) or SET (0.71). PA was slightly more accurate than SET, but the difference was not statistically significant. CBCT was also superior in locating the affected surface and level. Conclusion: CBCT has already proven its superiority in detecting multiple dental conditions, and this study shows it to likewise be superior in detecting and locating incipient external root resorption.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.9
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• pp.1069-1080
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• 2016

TDOA(Time Difference Of Arrival)-based localization system such as the passive surveillance system performs the time synchronization between the receivers after separated installing multiple receivers to set the same clock for all receivers. And it estimates 2D(or 3D) location of the target by solving intersection of the multiple hyperbola(or hyperboloid) using TDOA. To perform time synchronization, one receiver must be set to the master, and it provide the reference data to compensate the clock of the rest of the slaves. The positioning accuracy of TDOA-based localization system is changed in accordance with the master that is selected among multiple receivers. So, the optimum receiver which is selected among multiple receivers must be set to master to get best performance in the considered deployment of receivers. In this paper, we propose a selection scheme of master receiver for time synchronization using DOP(Dilution Of Precision) which is based on location of the target and the multiple receivers. The proposed scheme has low complexity and short processing time, and it is easy to automate in the TDOA-based localization systems.

• Korean Journal of Remote Sensing
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• v.15 no.1
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• pp.39-50
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• 1999

It is complicate and time-consuming process to classify a multi-band satellite imagery according to the application. In addition, classification rate sensitively depends on the selection of training data set and features in a supervised classification process. This paper introduced a classification network adopting a fuzzy-based $\gamma$-model in order to select a training data set and to extract feature which highly contribute to an actual classification. The features used in the classification were gray-level histogram, textures, and NDVI(Normalized Difference Vegetation Index) of target imagery. Moreover, in order to minimize the errors in the classification network, the Gradient Descent method was used in the training process for the $\gamma$-parameters at each code used. The trained parameters made it possible to know the connectivity of each node and to delete the void features from all the possible input features.