• Title/Summary/Keyword: Model Based Method

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The Suggestion of the Image Registration Using Terrain Relief Correction Based on RFM (유리함수모델 기반 표고시차보상기법을 사용한 Image Registration 방안 제안)

  • Kim, Hyun-Suk;Kim, Moon-Gyu;Seo, Doo-Chun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.30 no.1
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    • pp.21-30
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    • 2012
  • When two bands have different look angle in a space-borne camera system, the registration between two bands is required. The registration cannot be modeled with constant parameters because of dynamic of platform and parallax effect. The parallax effect is caused by terrain relief, hence it causes local distortion between two bands. Therefore, the terrain relief correction in order to reduce the parallax effect is required for better registration result, especially for high resolution image data. Such terrain relief correction also can be applied to image data acquired from multiple detectors with different look angle within a band, which is a one of commonly used configuration for a wider swath in space-borne camera system, in order to reduce the distortion between detectors. The RFM is a popular abstract model in remote sensing field, which gives us the relationship between the image plane and geodetic coordinate system. Therefore, we propose a terrain relief correction method based on the RFM. The experiment showed very promising result.

The P300 Source Localization in the Patients with Obsessive-Compulsive Disorder using the LORETA Imaging and SPM (강박장애에서 LORETA 영상을 이용한 P300 국소원의 통계적 분석)

  • Park, Sung-Kun;Choi, Jung-Seok;Yu, Soh-Young;Lee, Bo Reom;Kang, Seung-Suk;Roh, Kyu Sik;Ha, Tae-Hyun;Kwon, Jun Soo
    • Korean Journal of Biological Psychiatry
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    • v.10 no.2
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    • pp.168-176
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    • 2003
  • Objectives:We investigated the characteristics of P300 generators in obsessive-compulsive disorder(OCD) patients by using voxel-based statistical parametric mapping of current density images. Methods:P300 generators, produced by a rare target tone of 1500Hz under a frequent non-target tone of 1,000Hz, were measured in 15 right-handed OCD patients and 15 controls. Low Resolution Electromagnetic Tomography(LORETA), using a realistic head model of the boundary element method based on individual MRI, was applied to the 128-channel EEG. Statistical parametric mapping(SPM) was applied for the statistical analysis. Results:We found that both groups had the mean current density of P300 in the parietal, temporal and prefrontal lobe. There was a trend for decreased current density in the prefrontal area in OCD patients. The statistical comparison showed current density increase in the supraparietal area, a statistically significant longer P300 latency and a trend for reduced P300 amplitude in OCD patients. Conclusion:It suggests that P300 source of both groups exists in multiple brain regions at the same time. And both groups had no statistically significant differences in the current density of P300 except for increased current density in the supraparietal area in OCD patients. But, considering the statistically significant longer P300 latency, a trend for reduced P300 amplitude and relative mean current density reduction in the prefrontal area in OCD patients, this study suggests that the frontal lobe may have a reduced normal inhibitory process in OCD patients.

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Long-Range Transported SO2 Inflow fromAsian Continent to Korea Peninsula Using OMI SO2 Data and HYSPLIT Backward Trajectory Calculations (OMI 이산화황자료와 HYSPLIT 역궤적 계산을 이용한 동북아지역의 장거리 수송되는 이산화황 유입량 산출)

  • Park, Junsung;Hong, Hyunkee;Choi, Wonei;Lee, Hanlim
    • Korean Journal of Remote Sensing
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    • v.30 no.6
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    • pp.743-754
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    • 2014
  • In this present paper, we, for the first time, calculated $SO_2$ inflow from China to Korea peninsula based on OMI $SO_2$ products and HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory Model) backward trajectory calculations. The major factors used to estimate $SO_2$ flux are long range transported $SO_2$ concentration, transport speed of air mass, and thickness of transported air mass layer. The mean and maximum $SO_2$ fluxes are estimated to be 0.81 and $2.11g{\cdot}m^{-2}{\cdot}h^{-1}$, respectively based on OMI products while, those of $SO_2$ fluxes are 0.50 and $1.18g{\cdot}m^{-2}{\cdot}h^{-1}$ respectively using insitu data obtained at the surface. For most cases, larger $SO_2$ inflow values were found at the surface than those estimated for the air mass layer which extends from surface up to 1.5 km. However, increased transport speed of air mass leads to the enhanced $SO_2$ flux at the altitude up to 1.5 km at the receptor sites. Additionally, we calculate uncertainties of $SO_2$ flux using error propagation method.

Retrieval of Aerosol Optical Depth with High Spatial Resolution using GOCI Data (GOCI 자료를 이용한 고해상도 에어로졸 광학 깊이 산출)

  • Lee, Seoyoung;Choi, Myungje;Kim, Jhoon;Kim, Mijin;Lim, Hyunkwang
    • Korean Journal of Remote Sensing
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    • v.33 no.6_1
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    • pp.961-970
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    • 2017
  • Despite of large demand for high spatial resolution products of aerosol properties from satellite remote sensing, it has been very difficult due to the weak signal by a single pixel and higher noise from clouds. In this study, aerosol retrieval algorithm with the high spatial resolution ($500m{\times}500m$) was developed using Geostationary Ocean Color Imager (GOCI) data during the Korea-US Air Quality (KORUS-AQ) period in May-June, 2016.Currently, conventional GOCI Yonsei aerosol retrieval(YAER) algorithm provides $6km{\times}6km$ spatial resolution product. The algorithm was tested for its best possible resolution of 500 m product based on GOCI YAER version 2 algorithm. With the new additional cloud masking, aerosol optical depth (AOD) is retrieved using the inversion method, aerosol model, and lookup table as in the GOCI YAER algorithm. In some cases, 500 m AOD shows consistent horizontal distribution and magnitude of AOD compared to the 6 km AOD. However, the 500 m AOD has more retrieved pixels than 6 km AOD because of its higher spatial resolution. As a result, the 500 m AOD exists around small clouds and shows finer features of AOD. To validate the accuracy of 500 m AOD, we used dataset from ground-based Aerosol Robotic Network (AERONET) sunphotometer over Korea. Even with the spatial resolution of 500 m, 500 m AOD shows the correlation coefficient of 0.76 against AERONET, and the ratio within Expected Error (EE) of 51.1%, which are comparable to the results of 6 km AOD.

Synergistic Effect of Notopterygium incisum with Clematis manshurica in the Anti-inflammatory Activity (강활(羌活)과 위령선(威靈仙)의 항염증 상승작용에 관한 연구)

  • Kim, Seung-Ju;Chun, Jin-Mi;Yang, Won-Kyung;Cheon, Myeong-Sook;Sung, Yoon-Young;Park, Jun-Yeon;Kim, Ho-Kyoung
    • The Korea Journal of Herbology
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    • v.25 no.4
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    • pp.11-16
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    • 2010
  • Objective : Oriental medicines have been combined oriental medical theory which based on the seven modes of emotions. Notopterygium incisum (N. incisum) and Clematis manshurica (C. manshurica) have been used as an anti-rheumatic and analgesic medicine for the treatment of rheumatism, headache, cold, etc. In this study, we evaluate the synergistic anti-inflammatory effect of N. incisum and C. manshurica. Method : To evaluate the synergistic anti-inflammatory effect of a herbal mixture N. incisum and C. manshurica, we examined the changed ear thickness in 12-O-tetradecanoyl-phorbol-13-acetate (TPA)-induced mouse ear edema model after topical application of herbal mixture. In addition, the levels of markers for inflammation, such as tumor necrosis factor (TNF)-${\alpha}$, interleukin (IL)-$1{\beta}$, prostaglandin $G_2$ ($PGE_2$), and nitric oxide (NO) were measured by ELISA assay and Griess reagent in lipopolysaccharide-stimulated Raw 264.7 cells. Results : Our results showed that aqueous extracts of N. incisum and C. manshurica combination significantly inhibited the mouse ear edema induced by TPA. Moreover, the aqueous extracts of N. incisum and C. manshurica combination exhibited synergistic effects in down-regulating TNF-${\alpha}$, IL-$1{\beta}$, $PGE_2$ level, but not NO. Conclusions : This study suggested that combined treatment of N. incisum and C. manshurica, based on seven methods in prescription compatibility, has a synergistic effect in down-regulating inflammatory response both in vitro and in vivo models.

A Study on the Sleep/Activity pattern in Normal Early Infants using NCASA (Nursing Child Assessment Sleep/Activity Record) (NCASA(Nursing Child Assessment Sleep/Activity Record)를 이용한 초기 영아의 수면/활동 양상 연구)

  • Park, Hae-Sun;Lee, Yeong-Eun
    • Korean Parent-Child Health Journal
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    • v.3 no.1
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    • pp.46-59
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    • 2000
  • The purpose of this study is to determine whether the NCASA (Nursing Child Assessment Sleep/Activity Record) would be suitable to evaluate and to provide the basic resources for a Korean model of sleep/activity patterns during the first 6 months Korean infants' lives and to provide a basis for nursing intervention for mothers of early infants. The subjects of this study were 94 normal infants from birth to 6 months of age who visited the postpartum care center and two general hospitals located in Pusan from February 1 to April 28, 2000. The method of data collection was through convenient sampling. The instrument of this study was the NCASA translated by the Korean parent Child Health Academic Association. The collected data were analysed by mean, standard deviation, frequency percentage and ANOVA, Post Hoc test by use of SPSS/PC. The conclusions obtained from this study are summarized as follows: 1. The mean amount of daytime sleep was 8.06 hours. The mean amount of nighttime sleep was 6.31 hours. The mean amount of total daily sleep was 14.37 hours. The mean of the longest sleep period was 5.20 hours. The mean regularity of daytime sleep was 25.84%. The mean regularity of nighttime sleep was 77.69%. The mean regularity of total daily sleep was 42.60%. The mean frequency of nighttime wakenings was 2.33 times. 2. The mean amount of daytime activity was 8.25 hours. The mean amount of nighttime activity was 1.39 hours. The mean amount of daily total activity was 9.64 hours. The mean of the longest activity period was 3.80 hours The mean frequency of daytime feeding was 5.69 times. The mean frequency of nighttime feeding was 2.08 times. The mean frequency of total daily feeding was 7.74 times. The mean frequency regularity of feeding was 54.62%. The mean frequency of wakenings was 5.14 times. The mean frequency of crying was 1.90 times. 3. According to an analysis of sleep patterns based on an infant's age, there were some significant differences in the following factors: amount of daytime sleep(p<.001), amount of night time sleep(p<.05), amount of total daily sleep (p<.001), longest sleep period(p<.001), regularity of daytime sleep(p<.001), regularity of nighttime sleep(p<.01), regularity of total daily sleep(p<.001), frequency of nighttime wakenings(p<.001). 4. According to an analysis of activity patterns based on an infant's age, there were some significant differences in the following factors: amount of daytime activity(p<.001), amount of nighttime activity(p<.01), amount of total daily activity(p<.001), longest activity period(p<.05), frequency of nighttime feeding(p<.01), frequency of wakenings(p<.001). 5. The mean amount of a mother's day time was 16.30 hours. The mean amount of a mother's night time was 7.70 hours. In conclusion, the initial irregular sleeping and activity patterns of the early infant became regurized as the infant grew older and estabilished firmer patterns of sleeping and of activity.

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Wavelet Thresholding Techniques to Support Multi-Scale Decomposition for Financial Forecasting Systems

  • Shin, Taek-Soo;Han, In-Goo
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 1999.03a
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    • pp.175-186
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    • 1999
  • Detecting the features of significant patterns from their own historical data is so much crucial to good performance specially in time-series forecasting. Recently, a new data filtering method (or multi-scale decomposition) such as wavelet analysis is considered more useful for handling the time-series that contain strong quasi-cyclical components than other methods. The reason is that wavelet analysis theoretically makes much better local information according to different time intervals from the filtered data. Wavelets can process information effectively at different scales. This implies inherent support for multiresolution analysis, which correlates with time series that exhibit self-similar behavior across different time scales. The specific local properties of wavelets can for example be particularly useful to describe signals with sharp spiky, discontinuous or fractal structure in financial markets based on chaos theory and also allows the removal of noise-dependent high frequencies, while conserving the signal bearing high frequency terms of the signal. To data, the existing studies related to wavelet analysis are increasingly being applied to many different fields. In this study, we focus on several wavelet thresholding criteria or techniques to support multi-signal decomposition methods for financial time series forecasting and apply to forecast Korean Won / U.S. Dollar currency market as a case study. One of the most important problems that has to be solved with the application of the filtering is the correct choice of the filter types and the filter parameters. If the threshold is too small or too large then the wavelet shrinkage estimator will tend to overfit or underfit the data. It is often selected arbitrarily or by adopting a certain theoretical or statistical criteria. Recently, new and versatile techniques have been introduced related to that problem. Our study is to analyze thresholding or filtering methods based on wavelet analysis that use multi-signal decomposition algorithms within the neural network architectures specially in complex financial markets. Secondly, through the comparison with different filtering techniques results we introduce the present different filtering criteria of wavelet analysis to support the neural network learning optimization and analyze the critical issues related to the optimal filter design problems in wavelet analysis. That is, those issues include finding the optimal filter parameter to extract significant input features for the forecasting model. Finally, from existing theory or experimental viewpoint concerning the criteria of wavelets thresholding parameters we propose the design of the optimal wavelet for representing a given signal useful in forecasting models, specially a well known neural network models.

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Spherical-Coordinate-Based Guiding System for Automatic 3D Shape Scanning (3D 형상정보 자동 수집을 위한 구면좌표계식 스캐닝 시스템)

  • Park, Sang Wook;Maeng, Hee-Young;Lee, Myoung Sang;Kwon, Kil Sun;Na, Mi-Sun
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.38 no.9
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    • pp.1029-1036
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    • 2014
  • Several types of automatic 3D scanners are available for use in the 3D scanning industry, e.g., an automatic 3D scanner that uses a robot arm and one that uses an automatic rotary table. Specifically, these scanners are used to obtain a 3D shape using automatic assisting devices. Most of these scanners are required to perform numerous operations, such as merging, aligning, trimming, and filling holes. We are interested in developing an automatic 3D shape collection device using a spherical-coordinate-based guiding system. Then, the aim of the present study is to design an automatic guiding system that can automatically collect 3D shape data. We develop a 3D model of this system and measuring data which are collected by a personal computer. An optimal design of this system and the geometrical accuracy of the measured data are both evaluated using 3D modeling software. The developed system is then applied to an object having a highly complex shape and manifold sections. Our simulation results demonstrate that the developed system collects higher-quality 3D data than the conventional method.

Perceived Features of Cycling and Value of Public Bike System (공공자전거시스템의 사회적 가치와 자전거 특성의 관계성 연구)

  • Kim, Junghwa;Choi, Keechoo;Kim, Suk Hee
    • Journal of Korean Society of Transportation
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    • v.33 no.2
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    • pp.125-135
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    • 2015
  • In this study our main focus is to verify the relationship between social value of transportation system and its perceived features. To achieve this objective, we investigated the value of public bike system (PBS) through willingness to pay (WTP) analysis using contingent valuation method (CVM) and the survey was conducted for 1726 respondents who live in Suwon, Korea. Moreover the determinants related to features related to bicycle use were also gathered. The estimated binary logistic regression and censored regression reveal that the value of PBS is influenced by perceived features towards bicycle use incorporating non-congestion, transportation mode like auto and bus, and high mobility system as well as other variables such as income, bicycle ownership etc. Furthermore the results show that the perceiving of positive features to bicycle use leads to higher social value of PBS. Based on the findings, we discuss the importance of pre-review for transport policy implementation, and also explore the possibilities for application to PBS.

Estimation of THI Index to Evaluate Thermal Stress of Animal-occupied Zone in a Broiler House Using BES Method (BES 기법을 이용한 육계사 내부 고온 스트레스 평가를 위한 THI 지수 모의)

  • Ha, Taehwan;Kwon, Kyeong-seok;Hong, Se-Woon;Choi, Hee-chul;Lee, Jun-yeob;Lee, Dong-hyun;Woo, Saemee;Yang, Ka-young;Kim, Rack-woo;Yeo, Uk-hyeon;Lee, Sangyeon;Lee, In-bok
    • Journal of The Korean Society of Agricultural Engineers
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    • v.60 no.2
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    • pp.75-84
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    • 2018
  • Thermal stress of livestock has been issued due to recent climate change trends and this causes reproductive disorders, decreased feed consumption, immunosuppression, and increased mortality of animals. Concept of THI has been widely used to quantitatively evaluate the degree of thermal stress for animals, however use of this concept is restricted for animals living in the enclosed facilities such as mechanically ventilated broiler houses. In this study, time-based internal energy flow and variation trends of temperature and humidity were analyzed based on BES technique. Local weather data, insulation characteristics of building materials, heat and moisture generation rate from broilers according to age, algorithm of ventilation operation were adopted for boundary condition of the model to accurately compute THI values inside the mechanically ventilated broiler house. From the BES computation, excess frequency of THI threshold in Jeju city was highest on the assumption that air conditioning equipments were not installed. When general raising density ($39kg\;m^{-2}$) was adopted, total 2,191 hours were exceeded. Excess hours of THI threshold were strongly related to the cumulative air temperature ($R^2=0.87$).