• Korean Journal of Adult Nursing
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• v.17 no.2
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• pp.219-229
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• 2005

Purpose: The purpose of this study was to evaluate the effectiveness of 8 weeks smoking cessation program(SCP) developed by researchers. Method: One group pretest-posttest design was used in this study. The subjects were 88 male university students who consented to participate in the 8 weeks SCP. The SCP in this study consisted of a stop-smoking class, e-mail, SMS(short message service), cellular phone, internet cafe, displayed panel, and patch or acupuncture for quitting smoking. Korean version of questionnaire for nicotine dependency by Ahn et al.(2002), the smoking self-efficacy scale translated by Choi(1999) and subjects' opinion about the SCP were measured. The data were analyzed by using frequency, Chi-Square test, paired t-test and repeated measures ANOVA with SPSS WIN 10.1 Program. Results: 1) The rate of quitting smoking was 31.8% after 8 weeks SCP. 2) There was no significant decrease in the nicotine dependency score among smoking subjects after SCP. 3) There was a significant increase in self-efficacy after SCP. The mean score of self -efficacy in the quitting smoking group increased significantly, but did not significantly change in the smoking group. 4) The stop-smoking class was the most helpful among contents of the SCP. Contents of the SCP except for internet cafe were useful for quitting smoking in this study. Conclusion: The above results indicated that the 8 weeks SCP would be a helpful intervention to quit smoking for male university students.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.26 no.6
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• pp.525-532
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• 2015

In this paper, we propose an equivalent model of array antennas that use open-ended waveguides for effective EM simulation. We first investigate an individual element that consists of an open-ended waveguide and square ground plane. The waveguide length, aperture size, and ground size of the individual element are adjusted to give a similar radiation pattern to that of the individual element of the original antenna. We then apply the designed equivalent model to two different types of array antennas, such as a microstrip patch array and a waveguide array antenna. Comparison of the simulation results using the equivalent model with the results obtained with the original antenna reveals a difference in gain of less than 0.2 dB and a difference in half power beam width(HPBW) of less than $1^{\circ}$. The designed equivalent model is then mounted on a simple aircraft, and the simulation results are again compared to results from the original antenna. We find a 60 % reduction in simulation resources and time when compared with the original antenna model.

• Journal of the Korea Fashion and Costume Design Association
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• v.16 no.4
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• pp.99-116
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• 2014

The purpose of this study was to examine the state of scrub wearing among scrub uniforms medical staff. The results of the research is the following. First, As for the state of scrub uniforms, they wore scrubs only while they gave medical treatment and took care of routine work. Regarding the design of their current scrubs, type 1 was dominant, and the most common color was dark sky blue. Second, Concerning considerations for scrub design, they answered that scrubs should be designed to give no inconvenience during job performance. As for the image, they placed the most importance in a clean image due to hygiene. In relation to preference for color, pattern and materials, they had the most preference for dark blue, no pattern and materials that would not easily be contaminated. Third, As to preference for the length of the top, they were most fond of hip length, and short sleeves were their favorite length of sleeve. Concerning the design of the front and the back of the top, they had a liking for a box style with no straight cutting line. As for the design of the neckline, hem and pocket of the top, they had the most preference for round neckline, square bottom and round patch pocket respectively. Fourth, when the design preference of the respondents was analyzed, there were a difference between the men and the women in preference for neckline design. The women had a liking for round neck, whereas the men were fond of V neck. And the women showed a higher preference for rubber waistband than the men for the waist design of the pants. No gender differences were found in preference for color, pattern and the length of the top.

• The KIPS Transactions:PartB
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• v.16B no.1
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• pp.47-54
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• 2009

Automatic object recognition in 3D measuring data is of great interest in many application fields e.g. computer vision, reverse engineering and digital factory. In this paper we present a software tool for a fully automatic object detection and parameter estimation in unordered and noisy point clouds with a large number of data points. The software consists of three interactive modules each for model selection, point segmentation and model fitting, in which the orthogonal distance fitting (ODF) plays an important role. The ODF algorithms estimate model parameters by minimizing the square sum of the shortest distances between model feature and measurement points. The local quadric surface fitted through ODF to a randomly touched small initial patch of the point cloud provides the necessary initial information for the overall procedures of model selection, point segmentation and model fitting. The performance of the presented software tool will be demonstrated by applying to point clouds.

• Journal of Oral Medicine and Pain
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• v.35 no.4
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• pp.245-258
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• 2010

Smoking has been identified not as a major risk factor for circulatory and respiratory diseases but also as causes of various oral diseases. A number of clinical studies and regional health surveys have found an association between smoking and poor oral health status and between smoking and prognosis of dental treatments. However, there is few studies about status of smoking cessation treatment and policies in dentistry in Korea. The purpose of this study was to investigate the smoking patterns of outpatients and outcomes of short-term smoking cessation treatment in dental hospitals in Korea and, subsequently, to seek further smoking cessation services in dentistry. This study was sponsored by Korean Dental Association (KDA) and department of culture and welfare. 825 dental patients were voluntarily participated in a 4-week smoking cessation program with nicotine patch and 297 participants of them completed on smoking-related questionnaires. All participants were recruited from outpatients of 11 dental university hospitals (primarily in the department of oral medicine, oral surgery and periodontology) in Korea during 3-month period from October 2009 to January 2010. The Questionnaires included demographics, duration of smoking, heavy smoking index (HSI), number of thinking of quit smoking, duration of stop smoking and reasons to smoking, awareness of smoking effects on oral health, and their success rate after 4 weeks of nicotine patch program was investigated. The statistical analysis was carried by SPSS version 18.0 program and Chi-square test. According to the results of this study, male in their 30s to 50s were the most prevalent of all the participants and duration of smoking increased with age. Attempt rate to quit smoking (Quit smoking) was the highest in 30s and 40s with duration of quit smoking ranging 1 to 3 months. Emotional stresswas the most frequently reported reason for smoking, followed by habit and pleasure in order. All age group showed high HIS over 71% and awareness of smoking effects on oral diseases such as oral soft tissue diseases, periodontal diseases and dental caries was found relatively high (50~60%) Periodontal implant was the main reason for participation in the smoking cessation services in dental clinics and the success rate of, 4-week nicotine patch program of all the participants was 29.4%, extremely low compared to that of medical clinics. Systemic education for dentists to be able to provide interventions to quit smoking including counseling with the 5As'and development of available measures for smokers is needed as considered that the low success rate of the smoking cessation services in dentistry could be explained mainly by lack of dentists' strategies, experience and attention. Awareness and attention of dentists should be emphasized and their participation be encouraged by long-term, multidisciplinary policies such as establishment of insurance fee, which would made a considerable progress in preventing smoking-related oral diseases and promoting public oral health.

• Korean Journal of Remote Sensing
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• v.38 no.6_2
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• pp.1723-1735
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• 2022

Landslides are one of the most prevalent natural disasters, threating both humans and property. Also landslides can cause damage at the national level, so effective prediction and prevention are essential. Research to produce a landslide susceptibility map with high accuracy is steadily being conducted, and various models have been applied to landslide susceptibility analysis. Pixel-based machine learning models such as frequency ratio models, logistic regression models, ensembles models, and Artificial Neural Networks have been mainly applied. Recent studies have shown that the kernel-based convolutional neural network (CNN) technique is effective and that the spatial characteristics of input data have a significant effect on the accuracy of landslide susceptibility mapping. For this reason, the purpose of this study is to analyze landslide vulnerability using a pixel-based deep neural network model and a patch-based convolutional neural network model. The research area was set up in Gangwon-do, including Inje, Gangneung, and Pyeongchang, where landslides occurred frequently and damaged. Landslide-related factors include slope, curvature, stream power index (SPI), topographic wetness index (TWI), topographic position index (TPI), timber diameter, timber age, lithology, land use, soil depth, soil parent material, lineament density, fault density, normalized difference vegetation index (NDVI) and normalized difference water index (NDWI) were used. Landslide-related factors were built into a spatial database through data preprocessing, and landslide susceptibility map was predicted using deep neural network (DNN) and CNN models. The model and landslide susceptibility map were verified through average precision (AP) and root mean square errors (RMSE), and as a result of the verification, the patch-based CNN model showed 3.4% improved performance compared to the pixel-based DNN model. The results of this study can be used to predict landslides and are expected to serve as a scientific basis for establishing land use policies and landslide management policies.

• The Journal of the Acoustical Society of Korea
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• v.21 no.2
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• pp.150-159
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• 2002

The possibility of a broadband noise reduction of piezoelectric smart panels is experimentally studied. Piezoelectric smart panel is basically a plate structure on which piezoelectric patch with shunt circuits is mounted and sound absorbing material is bonded on the surface of the structure. Sound absorbing materials can absorb the sound transmitted at mid frequency region effectively while the use of piezoelectric shunt damping can reduce the transmission at resonance frequencies of the panel structure. To be able to tune the piezoelectric shunt circuit, the measured electrical impedance model is adopted. Resonant shunt circuit composed of register and inductor in stories is considered and the circuit parameters are determined based on maximizing the dissipated energy through the circuit. The transmitted noise reduction performance of smart panels is investigated using an acoustic tunnel. The tunnel is a square crosses sectional tunnel and a loud speaker is mounted at one side of the tunnel as a sound source. Panels are mounted in the middle of the tunnel and the transmitted sound pressure across the panels is measured. Noise reduction performance of a double smart panel possessing absorbing material and air gap shows a good result at mid frequency region except the first resonance frequency. By enabling the piezoelectric shunt damping, noise reduction is achieved at the resonance frequency as well. Piezoelectric smart panels incorporating passive method and piezoelectric shunt damping are a promising technology for noise reduction in a broadband frequency.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.27 no.5
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• pp.619-628
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• 2009

LiDAR has capability of rapid data acquisition and provides useful information for reconstructing surface of the Earth. However, Extracting information from LiDAR data is not easy task because LiDAR data consist of irregularly distributed point clouds of 3D coordinates and lack of semantic and visual information. This thesis proposed methods for automatic extraction of buildings and 3D detail modeling using airborne LiDAR data. As for preprocessing, noise and unnecessary data were removed by iterative surface fitting and then classification of ground and non-ground data was performed by analyzing histogram. Footprints of the buildings were extracted by tracing points on the building boundaries. The refined footprints were obtained by regularization based on the building hypothesis. The accuracy of building footprints were evaluated by comparing with 1:1,000 digital vector maps. The horizontal RMSE was 0.56m for test areas. Finally, a method of 3D modeling of roof superstructure was developed. Statistical and geometric information of the LiDAR data on building roof were analyzed to segment data and to determine roof shape. The superstructures on the roof were modeled by 3D analytical functions that were derived by least square method. The accuracy of the 3D modeling was estimated using simulation data. The RMSEs were 0.91m, 1.43m, 1.85m and 1.97m for flat, sloped, arch and dome shapes, respectively. The methods developed in study show that the automation of 3D building modeling process was effectively performed.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.18 no.2 s.117
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• pp.158-165
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• 2007

In this paper, the circularly polarized $4{\times}4$ array antenna is proposed for the X-band. A single antenna consists of square patch and unequal cross-aperture coupled feeding. The RHCP(Right Handed Circularly Polarization) is generated by unequal cross-aperture coupled feeding. By reducing space among elements of way antenna from 0.8 ${\lambda}_0$ to 0.45 ${\lambda}_0$, the mounting area of array antenna is miniaturized. The $2{\times}2$ array antenna is designed using sequential rotation feeding network. The good level of gain, axial ratio, and impedance bandwidth are achieved. The $4{\times}4$ array antenna is extended by ${\lambda}/4$ transformer and T-junction power divider. The simulated maximum radiation gain is 15.09 dBi at 10 GHz. The simulated 3 dB Axial Ratio bandwidth is from 9.05 to 10.4 GHz(13.5%). Also the measured impedance bandwidth($VSWR{\leq}2$) of manufactured $4{\times}4$ array antenna is from 8.45 to 11.84 GHz(33.9%). The measured maximum radiation gain is 11.10 dBi at 10 GHz. The measured 3 dB Axial Ratio bandwidth is from 9.42 to 10.47 GHz(10.5%).

• Journal of the Korea Academia-Industrial cooperation Society
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• v.3 no.1
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• pp.49-57
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• 2002

The possibility of a transmission noise reduction of piezoelectric smart panels using piezoelectric shunt damping is experimentally studied. Piezoelectric smart panel is basically a plate structure on which piezoelectric patch with shunt circuits is mounted and sound absorbing materials are bonded on the surface of the structure. Sound absorbing materials can absorb the sound transmitted at mid frequency region effectively while the use of piezoelectric shunt damping can reduce the transmission at resonance frequencies of the panel structure. To be able to reduce the sound transmission at low panel resonances, piezoelectric damping using the measured electrical impedance model is adopted. Resonant shunt circuit for piezoelectric shunt damping is composed of register and inductor in series, and they are determined by maximizing the dissipated energy throughout the circuit. The transmitted noise reduction performance of smart panels is investigated using an acoustic tunnel. The tunnel is a tube with square crosses section and a loud-speaker is mounted at one side of the tube as a sound source. Panels are mounted in the middle of the tunnel and the transmitted sound pressure across panels is measured. Noise reduction performance of a smart panels possessing absorbing material and/or air gap shows a good result at mid frequency region but little effect in the resonance frequency. By enabling the piezoelectric shunt damping, noise reduction of 10dB, 8dB is achieved at the resonance frequencise as well. Piezoelectric smart panels incorporating passive method and piezoelectric shunt damping are a promising technology for noise reduction in a broadband frequency.