• Title/Summary/Keyword: Volume determination

Search Result 533, Processing Time 0.023 seconds

A STUDY ON THE EVALUATION OF POLYMERIZATION SHRINKAGE OF COMPOSITE AND COMPOMER USING STRAIN GAUGE METHOD (스트레인 게이지법을 이용한 복합레진과 컴포머의 중합수축 평가에 관한 연구)

  • Kim, Yeun-Chul;Kim, Jong-Soo;Kwon, Soon-Won;Kim, Yong-Kee
    • Journal of the korean academy of Pediatric Dentistry
    • /
    • v.29 no.1
    • /
    • pp.19-29
    • /
    • 2002
  • The purpose of this study was to compare the polymerization shrinkage and the compressive strength of composite and compomer cured with two different light sources ; conventional halogen-light curing unit and recently-developed plasma arc curing unit. The 'strain gauge method' was used for determination of polymerization shrinkage and the compressive strength was measured by universal testing machine. The results of the present study can be summarized as follows: 1. Filling materials in polyethylene molds showed the initial expansion in the early phase of polymerization. This was followed by the rapid contraction in volume during the first 60 seconds and gradually diminished as curing process continued. 2. The polymerization shrinkage in tooth samples was generally lower than in the mold samples. 3. The generally lower amount of linear polymerization shrinkage was observed in compomer and plasma arc curing unit group when compared to composite and conventional curing unit. 4. The higher compressive strength values was found in composite groups regardless curing methods. The results of this study strongly support the application of plasma arc system and fluoride-containing compomer in the field of clinical pediatric dentistry claiming its effectiveness in curing the esthetic dental materials and the anticariogenic capacity.

  • PDF

Analysis of Couch Sag Using Image Processing of MVCT Images in Tomotherapy (토모테라피에서 MVCT 영상을 이용한 환자 테이블의 처짐 정도의 분석)

  • Park, Ha Ryung;Kim, Yong Ho;Park, Dahl;Kim, Wontaek;Ki, Yongkan;Kim, Donghyun;Bae, Jin Suk
    • Progress in Medical Physics
    • /
    • v.26 no.2
    • /
    • pp.106-111
    • /
    • 2015
  • In Tomotherapy the couch sags during the treatment due to the weight of the patient. In this study, we developed a simple method to obtain the amount of the sag and the pitch angle of the couch using the image processing technique of MVCT images in Tomotherapy. Using the method we evaluated the sag and pitch of couch for 22 head and neck patients and one craniospinal irradiation (CSI) patient. The sag and the average pitch angle of couch were 0.40~1.54 mm and $0.7^{\circ}$ for head and neck patients, respectively. For head and neck patients, the sag increased as the longitudinal length of the irradiation volume increased and the pitch angle showed no relationship with the longitudinal length. For the CSI patient the sag was 4.97 mm. Using the method the amount of the couch sag could be measured easily and the measured data could be useful in determination of margins considering the table sag error.

A Study for an Automatic Calibration of Urban Runoff Model by the SCE-UA (집합체 혼합진화 알고리즘을 이용한 도시유역 홍수유출 모형의 자동 보정에 관한 연구)

  • Kang, Tae-Uk;Lee, Sang-Ho;Kang, Shin-Uk;Park, Jong-Pyo
    • Journal of Korea Water Resources Association
    • /
    • v.45 no.1
    • /
    • pp.15-27
    • /
    • 2012
  • SWMM (Storm Water Management Model) has been widely used in the world as a typical model for flood runoff analysis of urban areas. However, the calibration of the model is difficult, which is an obstacle to easy application. The purpose of the study is to develop an automatic calibration module of the SWMM linked with SCE-UA (Shuffled Complex Evolution-University of Arizona) algorithm. Generally, various objective functions may produce different optimization results for an optimization problem. Thus, five single objective functions were applied and the most appropriate one was selected. In addition to the objective function, another objective function was used to reduce peak flow error in flood simulation. They form a multiple objective function, and the optimization problem was solved by determination of Pareto optima. The automatic calibration module was applied to the flood simulation on the catchment of the Guro 1 detention reservoir and pump station. The automatic calibration results by the multiple objective function were more excellent than the results by the single objective function for model assessment criteria including error of peak flow and ratio of volume between observed and calculated flow. Also, the verification results of the model calibrated by the multiple objective function were reliable. The program could be used in various flood runoff analysis in urban areas.

Analysis of Synthetic Fragrances (SFs) in Water Using Stir Bar Sorptive Extraction (SBSE) and GC-MS/MS (교반막대 추출법과 GC-MS/MS를 이용한 수중의 합성 향물질류 분석)

  • Seo, Chang-Dong;Son, Hee-Jong;Yoom, Hoon-Sik;Choi, Jin-Taek;Ryu, Dong-Choon;Kwon, Ki-Won;Jang, Seung-Ho
    • Journal of Korean Society of Environmental Engineers
    • /
    • v.36 no.6
    • /
    • pp.387-395
    • /
    • 2014
  • A highly sensitive analytical method based on stir bar sorptive extraction (SBSE) technique and gas chromatography/tandem mass spectrometry (GC-MS/MS) has been developed, allowing the simultaneous multi-analyte determination of 11 synthetic fragrances (SFs) in water samples. The stir bar coated with polydimethylsiloxane (PDMS) was added to 40 mL of water sample at pH 3 and stirred at 1,100 rpm for 120 min. Other SBSE parameters (salt effect and presence of organic solvent) were optimised. The method shows good linearity (coefficients > 0.990) and reproducibility (RSD < 10.9%). The extraction efficiencies were above 83% for all the compounds. The limits of detections (LOD) and limits of quantification (LOQ) were 2.1~4.1 ng/L and 6.6~12.9 ng/L, respectively. The developed method offers the ability to detect 11 SFs at ultra-low concentration levels with only 40 mL of sample volume. Matrix effects in tap water, river water, wastewater treatment plant (WWTP) final effluent water and seawater were investigated and it was shown that the method is suitable for the analysis of trace level of 11 SFs. The method developed in the present study has the advantage of being rapid, simple, high-sensitive and both user and environmentally friendly.

Development of Naïve-Bayes classification and multiple linear regression model to predict agricultural reservoir storage rate based on weather forecast data (기상예보자료 기반의 농업용저수지 저수율 전망을 위한 나이브 베이즈 분류 및 다중선형 회귀모형 개발)

  • Kim, Jin Uk;Jung, Chung Gil;Lee, Ji Wan;Kim, Seong Joon
    • Journal of Korea Water Resources Association
    • /
    • v.51 no.10
    • /
    • pp.839-852
    • /
    • 2018
  • The purpose of this study is to predict monthly agricultural reservoir storage by developing weather data-based Multiple Linear Regression Model (MLRM) with precipitation, maximum temperature, minimum temperature, average temperature, and average wind speed. Using Naïve-Bayes classification, total 1,559 nationwide reservoirs were classified into 30 clusters based on geomorphological specification (effective storage volume, irrigation area, watershed area, latitude, longitude and frequency of drought). For each cluster, the monthly MLRM was derived using 13 years (2002~2014) meteorological data by KMA (Korea Meteorological Administration) and reservoir storage rate data by KRC (Korea Rural Community). The MLRM for reservoir storage rate showed the determination coefficient ($R^2$) of 0.76, Nash-Sutcliffe efficiency (NSE) of 0.73, and root mean square error (RMSE) of 8.33% respectively. The MLRM was evaluated for 2 years (2015~2016) using 3 months weather forecast data of GloSea5 (GS5) by KMA. The Reservoir Drought Index (RDI) that was represented by present and normal year reservoir storage rate showed that the ROC (Receiver Operating Characteristics) average hit rate was 0.80 using observed data and 0.73 using GS5 data in the MLRM. Using the results of this study, future reservoir storage rates can be predicted and used as decision-making data on stable future agricultural water supply.

Study on the Effect of Product Line Pricing on Loading Efficiency and Logistics Cost (상품라인별 가격결정이 적재효율 및 물류비에 미치는 영향에 관한 연구)

  • Jung, Sung-Tae;Yoon, Nam-Soo;Han, Kyu-Chul
    • Journal of Distribution Science
    • /
    • v.12 no.8
    • /
    • pp.55-69
    • /
    • 2014
  • Purpose - Despite the importance of price, many companies do not implement pricing policies smoothly, because typical price management strategies insufficiently consider logistics efficiency and an increase in logistics costs due to logistics waste. This study attempts to examine the effect of product line pricing, which corresponds to product mix pricing, on logistics efficiency in the case of manufacturer A, and analyzes how logistics performance changes in response to these variables. Research design, data, and methodology - This study, based on the case of manufacturer A, involved research through understanding the current status, analyses, and then proposing improvement measures. Among all the products of manufacturer A, product group B was selected as the research object, and its distribution channel and line pricing were examined. As a result of simulation, for products with low loading efficiency, improvement measures such as changing the number of bags in the box were suggested, and a quantitative analysis was conducted on how these measures influence logistics costs. The TOPS program was used for the Pallet loading efficiency simulation tool in this study. To prevent products from protruding out of the pallet, the maximum measurement was set as 0.0mm, and loading efficiency was based on the pallet area, and not volume. In other words, its size (length x width) was focused upon, following the purpose of this study and, then, the results were obtained. Results - As a result of the loading efficiency simulation, when the number of bags in the box was changed for 36 products with low average loading efficiency of 73.7%, as shown in

    , loading efficiency improved to 89.9%. Further, from calculating logistics cost based on the cost calculation standard of manufacturer A, the amount of annual logistics cost reduction amounted to 101,458,084 KRW. Given that the sum of the logistics cost of the product group B of manufacturing enterprises A is 400,340,850 KRW, it can be reduced by 25%, to 298,882,766 KRW. Although many methods improve loading efficiency, this study proved that logistics cost could be reduced by changing the number of bags within boxes. If this measure is applied to other items, visible logistics cost reduction effects will be realized through improvements in loading efficiency. Conclusions - Future pricing policies should consider their correlation with quality, loading efficiency, product specifications, and logistics standardization to prevent logistics waste, enabling management to improve earnings for companies. Thus, when companies decide pricing policies for new products, the aspects of merchandising and marketing should take priority; however, the aspect of logistics also needs to be considered as significant. Measures revealed by the study results are not only the responsibilities of manufacturing enterprises. Pricing policy agreements between manufacturing enterprises and distribution companies, and logistics factors related to price determination should be considered; further, governments should also support them for their collaborations. This will enable consumers to purchase quality products with low prices.

  • Assessment of Climate Change Impact on Imha-Dam Watershed Hydrologic Cycle under RCP Scenarios (RCP 기후변화 시나리오에 따른 임하댐 유역의 미래 수문순환 전망)

    • Jang, Sun-Sook;Ahn, So-Ra;Joh, Hyung-Kyung;Kim, Seong-Joon
      • Journal of the Korean Association of Geographic Information Studies
      • /
      • v.18 no.1
      • /
      • pp.156-169
      • /
      • 2015
    • This study was to evaluate the RCP climate change impact on hydrological components in the Imha-Dam watershed using SWAT(Soil and Water Assessment Tool) Model. The model was calibrated for six year(2002~2007) and validated for six year(2008~2013) using daily observed streamflow data at three watershed stations. The overall simulation results for the total released volume at this point appear reasonable by showing that coefficient of determination($R^2$) were 0.70~0.85 and Nash-Sutcliffe model efficiency(NSE) were 0.67-0.82 for streamflow, respectively. For future hydrologic evaluation, the HadGEM3-RA climate data by scenarios of Representative Concentration Pathway(RCP) 4.5 and 8.5 of the Korea Meteorological Administration were adopted. The biased future data were corrected using 34 years(1980~2013, baseline period) of weather data. Precipitation and temperature showed increase of 10.8% and 4.9%, respectively based on the baseline data. The impacts of future climate change on the evapotranspiration, soil moisture, surface runoff, lateral flow, return flow and streamflow showed changes of +11.2%, +1.9%, +10.0%, +12.1%, +18.2%, and +11.2%, respectively.

    A Study on the Determination of Indicators for the Risk Assessment of Ground Depression Using SAR Imageson (SAR 영상을 활용한 지반침하의 위험평가를 위한 지표결정에 대한 연구)

    • Lee, Hyojin;Yoon, Hongsic;Han, Hak
      • Journal of the Korean GEO-environmental Society
      • /
      • v.22 no.7
      • /
      • pp.13-20
      • /
      • 2021
    • The problem of subsidence of the roadbed near the Honam High Speed Railway, which opened in April 2015, continues to be raised, and the ground stability of the area near the Honam High Speed Railway may also be problematic. It is very important to select the factors that determine the indicators and indicators in producing the risk maps. Existing risk indicators are calculated as the final displacement volume based on the last observed date of the observed period, and time-series indicator displacement must be identified to analyze the cause of subsidence and the behavior of the indicator. Furthermore, for a wide range of regions, it is economically inefficient to conduct direct level measurements, so we wanted to observe surface displacement using SAR images. In this paper, time series indicator displacement was observed using PS-InSAR techniques, and risk was compared by rating each factor using the difference between final indicator displacement, cumulative indicator displacement, minimum displacement and maximum displacement as factors for determining risk indicators. As a result, the risk rating of the final displacement is different from that of each factor, and we propose adding factors from different perspectives in determining risk indicators. It is expected to be an important study in finding the cause of ground subsidence and finding solutions.

    Relationship between Corrosion in Reinforcement and Influencing Factors Using Half Cell Potential Under Saturated Condition (습윤 상태에서의 반전위를 이용한 철근 부식과 영향 인자 간의 상관성 분석)

    • Jeong, Gi-Chan;Kwon, Seung-Jun
      • Journal of the Korean Recycled Construction Resources Institute
      • /
      • v.9 no.2
      • /
      • pp.191-199
      • /
      • 2021
    • In this study, the correlation between the influencing factors on corrosion and Half Cell Potential(HCP) measurement was analyzed considering the three levels of W/C ratio, cover depth, and chloride concentration. The HCP increased with enlarged cover depth, so it was confirmed that the increment of cover depth was effective for control of corrosion. Based on the criteria, the case of 60mm cover depth showed excellent corrosion control with under -200mV, indicating increase of cover depth is an effective method for reducing intrusion of external deterioration factors. When fresh water was injected to the upper part of specimens, very low level of HCP was monitored, but in the case that concentrations of chloride were 3.5% and 7.0%, HCP dropped under -200mV. In addition, the case with high volume of unit binder showed lower HCP measurement like increasing cover depth. Multiple regression analysis was performed to evaluate the correlation between the corrosive influence factors and HCP results, showing high coefficient of determination of 0.97. However, there were limitations such as limited number of samples and measuring period. Through the additional corrosion monitoring and chloride content evaluation after dismantling the specimen, more reasonable prediction can be achieved for correlation analysis with relevant data.

    Analysis of Plant Height, Crop Cover, and Biomass of Forage Maize Grown on Reclaimed Land Using Unmanned Aerial Vehicle Technology

    • Dongho, Lee;Seunghwan, Go;Jonghwa, Park
      • Korean Journal of Remote Sensing
      • /
      • v.39 no.1
      • /
      • pp.47-63
      • /
      • 2023
    • Unmanned aerial vehicle (UAV) and sensor technologies are rapidly developing and being usefully utilized for spatial information-based agricultural management and smart agriculture. Until now, there have been many difficulties in obtaining production information in a timely manner for large-scale agriculture on reclaimed land. However, smart agriculture that utilizes sensors, information technology, and UAV technology and can efficiently manage a large amount of farmland with a small number of people is expected to become more common in the near future. In this study, we evaluated the productivity of forage maize grown on reclaimed land using UAV and sensor-based technologies. This study compared the plant height, vegetation cover ratio, fresh biomass, and dry biomass of maize grown on general farmland and reclaimed land in South Korea. A biomass model was constructed based on plant height, cover ratio, and volume-based biomass using UAV-based images and Farm-Map, and related estimates were obtained. The fresh biomass was estimated with a very precise model (R2 =0.97, root mean square error [RMSE]=3.18 t/ha, normalized RMSE [nRMSE]=8.08%). The estimated dry biomass had a coefficient of determination of 0.86, an RMSE of 1.51 t/ha, and an nRMSE of 12.61%. The average plant height distribution for each field lot was about 0.91 m for reclaimed land and about 1.89 m for general farmland, which was analyzed to be a difference of about 48%. The average proportion of the maize fraction in each field lot was approximately 65% in reclaimed land and 94% in general farmland, showing a difference of about 29%. The average fresh biomass of each reclaimed land field lot was 10 t/ha, which was about 36% lower than that of general farmland (28.1 t/ha). The average dry biomass in each field lot was about 4.22 t/ha in reclaimed land and about 8 t/ha in general farmland, with the reclaimed land having approximately 53% of the dry biomass of the general farmland. Based on these results, UAV and sensor-based images confirmed that it is possible to accurately analyze agricultural information and crop growth conditions in a large area. It is expected that the technology and methods used in this study will be useful for implementing field-smart agriculture in large reclaimed areas.


    (34141) Korea Institute of Science and Technology Information, 245, Daehak-ro, Yuseong-gu, Daejeon
    Copyright (C) KISTI. All Rights Reserved.