• Title/Summary/Keyword: Diffusion Area

Search Result 830, Processing Time 0.028 seconds

Effects of Emission from Seoul Metropolitan Area on Air Quality of Surrounding Area Using MESOPUFF II Model (MESOPUFF II모델을 이용한 서울시 $SO_2$배출량이 주변지역 대기질에 미치는 영향 분석)

  • 조창래;이종범
    • Journal of Korean Society for Atmospheric Environment
    • /
    • v.14 no.6
    • /
    • pp.563-576
    • /
    • 1998
  • To study the influences of the emission sources during lune 13∼15 1997 in Seoul, MESOPVFF II model has been used. The MESOPVFF II model includes terrain effects, chemical transformation and removal processes. Data of 20 surface meteorological stations and the upper air station on mid-west area in Korea were used as a DWM (Diagnostic Wind Model) input data. This model is likely to be applicable because the predicted SO2 concentration was well matched with measured 502 concentration in Seoul and Kyonggido. In generally air pollutants in Seoul have major influence on the other cities but the result of modeling appeared also air pollutants of the other cities influence on Seoul. Finally, in the case of calculating the air quality by diffusion model, the influences of air pollutants emitted in metropolitan area as well as the emission rate in modeling area should be considered.

  • PDF

A Study on the Developing Strategies of Knowledge based Industry in ChunChon Area for the Digital Age. (디지털시대 춘천지역 지식기반산업의 발전방안에 관한 연구)

  • Kim, Chi-Ho;La, Kong-Woo;Min, Tae-Hong
    • International Commerce and Information Review
    • /
    • v.8 no.3
    • /
    • pp.3-21
    • /
    • 2006
  • This study aims to explore the developing strategies of knowledge based industry in ChunChon Area. This study suggests several strategies for promoting local development in Chunchon Area as follows ; first, building of local innovation system in chunchon area and convergence and diffusion of knowledge based industries. second, making of industrial environment suitable to developing knowledge based industries. third, the establishment of overall industrial supporting systems. fourth, expansion of industrial infra and prevention of the brain drain. fifth, transformation of industrial complex into innovation clusters. The result of this study will be useful for the chief executives officers to make more rational decision making for industrial developing strategies is related to the Knowledge based Industries. The paper also strives to provoke debate in this area with to encouraging further research on the topic.

  • PDF

Influence of Temperature and Affinity of Disperse Dye on Dyeing of PET(Polyethylene Terephthalate) Microfiber (PET 초극세사 염색에서 분산염료의 친화력과 온도 의존성)

  • Lee, Hun
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.20 no.9
    • /
    • pp.532-540
    • /
    • 2019
  • PET microfibers with various diameters (0.5, 0.2, 0.06, and 0.01 dpf) were dyed with a dispersed dye (C.I. Disperse Blue 56) at various temperatures. The dyeing process was conducted under infinite dyebath conditions at constant temperatures. The effects of the dyeing temperature and diameter on the partition coefficient, affinity, and diffusion coefficient of disperse dyes were studied. The curve of isotherms was fitted well to Nernst-type model in a large range of initial dye concentrations. At the same temperature, the partition coefficient and affinity decreased with increasing sample diameter due to the increase in surface area. At all deniers, the partition coefficient and affinity decreased with increasing temperature because the dyeing process is an exothermic reaction. In addition, the decrease in radius of the sample gives rise to a decrease in the heat of dyeing. The fine diameter of the sample resulted in an increased surface area but decreased space between the microfibers. Consequently, decreasing the diameter of the microfibers leads to a decrease in the diffusion coefficient. At the same diameter, the diffusion coefficient increased with increasing temperature because of rapid dye movement and the large free volume of the sample inside. In addition, thermal dependence of the diffusion coefficient increased when the diameter of the sample increased.

Differentiating Uterine Sarcoma From Atypical Leiomyoma on Preoperative Magnetic Resonance Imaging Using Logistic Regression Classifier: Added Value of Diffusion-Weighted Imaging-Based Quantitative Parameters

  • Hokun Kim;Sung Eun Rha;Yu Ri Shin;Eu Hyun Kim;Soo Youn Park;Su-Lim Lee;Ahwon Lee;Mee-Ran Kim
    • Korean Journal of Radiology
    • /
    • v.25 no.1
    • /
    • pp.43-54
    • /
    • 2024
  • Objective: To evaluate the added value of diffusion-weighted imaging (DWI)-based quantitative parameters to distinguish uterine sarcomas from atypical leiomyomas on preoperative magnetic resonance imaging (MRI). Materials and Methods: A total of 138 patients (age, 43.7 ± 10.3 years) with uterine sarcoma (n = 44) and atypical leiomyoma (n = 94) were retrospectively collected from four institutions. The cohort was randomly divided into training (84/138, 60.0%) and validation (54/138, 40.0%) sets. Two independent readers evaluated six qualitative MRI features and two DWI-based quantitative parameters for each index tumor. Multivariable logistic regression was used to identify the relevant qualitative MRI features. Diagnostic classifiers based on qualitative MRI features alone and in combination with DWI-based quantitative parameters were developed using a logistic regression algorithm. The diagnostic performance of the classifiers was evaluated using a cross-table analysis and calculation of the area under the receiver operating characteristic curve (AUC). Results: Mean apparent diffusion coefficient value of uterine sarcoma was lower than that of atypical leiomyoma (mean ± standard deviation, 0.94 ± 0.30 10-3 mm2/s vs. 1.23 ± 0.25 10-3 mm2/s; P < 0.001), and the relative contrast ratio was higher in the uterine sarcoma (8.16 ± 2.94 vs. 4.19 ± 2.66; P < 0.001). Selected qualitative MRI features included ill-defined margin (adjusted odds ratio [aOR], 17.9; 95% confidence interval [CI], 1.41-503, P = 0.040), intratumoral hemorrhage (aOR, 27.3; 95% CI, 3.74-596, P = 0.006), and absence of T2 dark area (aOR, 83.5; 95% CI, 12.4-1916, P < 0.001). The classifier that combined qualitative MRI features and DWI-based quantitative parameters showed significantly better performance than without DWI-based parameters in the validation set (AUC, 0.92 vs. 0.78; P < 0.001). Conclusion: The addition of DWI-based quantitative parameters to qualitative MRI features improved the diagnostic performance of the logistic regression classifier in differentiating uterine sarcomas from atypical leiomyomas on preoperative MRI.

Characteristics of Coagulants Distribution by the Pumping Rate in Pump Diffusion Mixer (Pump Diffusion Mixer에서 압력수량에 따른 응집제 확산분포 특성)

  • Park, Youngoh;Kim, Ki-Don;Park, No-Suk;Lim, Jae-Lim;Lim, Kyung-Ho
    • Journal of Korean Society of Water and Wastewater
    • /
    • v.22 no.1
    • /
    • pp.65-71
    • /
    • 2008
  • This study collected the latest 30-year (1976~2005) continuous rainfall data hourly recorded at 61 meterological observatories in Korea, and the continuous rainfall data was divided into individual rainfall events. In addition, distribution charts of average rainfall event-depth were created to facilitate the application to the overflow risk-based design of detention storage basin. This study shows that 4 hour is appropriate for SST (storm separation time) to separate individual rainfall events from the continuous rainfall data, and the one-parameter exponential distribution is suitable for the frequency distribution of rainfall event depths for the domestic rainfall data. The analysis of the domestic rainfall data using SST of 4 hour showed that the individual rainfall event was 1380 to 2031 times, the average rainfall event-depth was 19.1 to 32.4mm, and ranged between 0.877 and 0.926. Distribution charts of average rainfall event-depth were created for 4hour and 6 hour of SST, respectively. The inland Gyeongsangbuk-do, Western coastal area and inland of Jeollabuk-do had relatively lower average rainfall event-depth, whereas Southern coastal area, such as Namhae, Yeosu, and Jeju-do had relatively higher average rainfall event-depth.

Study on the Effective Focal Volume Change due to Light Intensity Using Fluorescence Correlation Spectroscopy (형광상관분광법을 이용한 광세기에 따른 유효 초점 부피 변화에 대한 연구)

  • Jeong, Chanbae;Lee, Jaeran;Kim, Sok Won
    • Korean Journal of Optics and Photonics
    • /
    • v.24 no.2
    • /
    • pp.71-76
    • /
    • 2013
  • Using fluorescence correlation spectroscopy, we analyzed the change of effective focal volume of a confocal system with light intensity. The fluorescence correlation spectroscopy system was home-built in accordance with the He-Ne laser with a wavelength of 632.8 nm, and two kinds of samples (AlexaFluor657 and Quantum dot655) suitable for the wavelength of the laser beam were used. For each sample, we analyzed and compared the correlation functions obtained while changing the intensity of the light source in a range of 1~50 ${\mu}W$. The result shows that the radius of the focal area increases linearly through the increase of particle number and diffusion time in response to an intensity change in weak light below 10 ${\mu}W$. In the higher intensity region (>10~15 ${\mu}W$), the increasing rate of particle number and diffusion time keep increasing but at a much slower rate. Through this result, it was also found that the radius increasing rate of the focal area was reduced however, the radius still increased slightly.

Micelle Formation of Surfactant Solution(3) -Self-Diffusion and 1H Relaxation for Mixed Micelle of Nonionic and Ionic Surfactants- (계면활성제 수용액에서 미셀형성(제3보) -비이온성과 이온성계면활성제의 혼합 미셀에 있어 자기확산 및 프로톤 이완-)

  • Choi, Seung-Ok;Kwack, Kwang-Soo;Park, Heung-Jo;Nam, Ki-Dae
    • Applied Chemistry for Engineering
    • /
    • v.10 no.6
    • /
    • pp.876-880
    • /
    • 1999
  • The surfactant self-diffusion coefficients of mixed micellar solutions of ionic and nonionic surfactants have been measured by the NMR pulsed field gradient spin echo(FT-PGSE) method. In addition, the line widths of $^1H$ NMR signal have been monitored. The system investgated are $C_{12}EO_5/SDS/D_2O$, $C_{12}EO_5/DTAC/D_2O$, and $C_{12}EO_8/SDS/D_2O$. In the sample series, the molar ratios of $D_2O$ to surfactant(ionic+nonionic) were kept constant while the surfactant mixing ratio was varied. For the $C_{12}EO_5$ system, the surfactant self-diffusion coefficient indicates minimum when the surfactant mixing ratio is about 20% ionic surfactant. The observed decrease in self-diffusion coefficients as nonionic surfactant was replaced by ionic surfactant is interpreted to mainly be due to an increased micelle-micelle repulsion. The increase in self-diffusion coefficients occurring at higher fraction of ionic surfactant is shown to be due to a decrease in micelle size. For the $C_{12}EO_8$ system, the effect of the surfactant mixing ratio is much weaker which can be understood by considering the molecular geometry and large headgroup area. The proton NMR line widths correlate well with the self-diffusion coefficients and broadening of the alkyl chain methylene signals is found when the self-diffusion coefficients is low.

  • PDF

A Study on Improvement of Halftoning using Random Space Filling Curve (무작위 공간 채움 곡선을 이용한 하프토닝의 개선 방안)

  • Jho, Cheung-Wonn
    • Journal of Digital Convergence
    • /
    • v.12 no.1
    • /
    • pp.415-421
    • /
    • 2014
  • In this paper, we proposed problem and improvement of halftoning using random space filling curve. Random space filling curve is developed as a solution for shortcoming which space filling curve has self-similarity. It is used to reduce regular pattern can be occurred in constant brightness area in order that randomness apply to scanning path. But there is a problem that some area along scanning path can show too bright result in halftoning using random space filling curve. In this paper, we analyzed cause of problem and proposed single pixel error diffusion as a solution method. This method can avoid over-accumulated error and show better result in halftoning.

Change of Fractional Anisotropy in the Left Inferior Frontal Area after Motor Learning (운동학습에 의한 왼쪽 하전두영역의 분할비등방성의 변화)

  • Park, Ji-Won;Nam, Ki-Seok
    • The Journal of Korean Physical Therapy
    • /
    • v.22 no.5
    • /
    • pp.109-115
    • /
    • 2010
  • Purpose: This study was to delineate the structural change of neural pathway after sequential motor learning using diffusion tensor imaging (DTI). Methods: The participants were 16 healthy subjects, which were divided by training (n=8) and control (n=8) group. The task for the training was the Serial Reaction Time Task (SRTT) which was designed by Superlab program. When the 'asterisk' shows up in the 4 partition spaces on the monitor, the subject presses the correct response button as soon as possible. The training group participated in the training program of motor learning with SRTT composed of 24 digits pattern in one hour per daily through 10 days during 2 weeks. Results: In the behavioral results the training group showed significant changes in the increase of response number and the reduction of response time than those of the control group. There was significant difference in the left inferior frontal area in the fractional anisotropy (FA) map of the training group in DTI analysis. Conclusion: Motor sequential learning as like SRTT may be needed to the learning of language and visuospatial processing and may be induced for the experience-dependent structural plasticity during short period.

Coordination of Smart Costume based on Complementary Colors using Image Segmentation (이미지 세그먼테이션을 이용한 보색 기반의 스마트 의상 코디네이션)

  • Kim, Hye-Suk;Kim, Ho-Da
    • Journal of Digital Contents Society
    • /
    • v.19 no.8
    • /
    • pp.1453-1462
    • /
    • 2018
  • In this paper, we look photographes of costumes and composed them as image files by extracting only costume part of the photograph excluding the background part. And we calculated representative color value to implement smart costume coordination program using complementary colors corresponding to representative color values in the costume area. And then, We have solved the problem of over-segmentation caused by extracting the costumes area by applying an anisotropic diffusion algorithm that can remove the noise of the image and flatten the gradient. In order to satisfy users' various needs, we plan to add not only complementary colors coordination but also more various color scheme.