• Title/Summary/Keyword: Quality Determination

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Design of Automatic Monitoring Network for the Water Quality Management of River Basin (하천 및 호소수 수질관리를 위한 자동측정망의 설계)

  • Choi, Ji-Yong;Park, Won-Kqyu;Lee, Sang-Il
    • Water for future
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    • v.29 no.2
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    • pp.167-178
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    • 1996
  • In designing automatic water quality monitoring networks for a river basin, determination of measurement locations and items is critical to the effectiveness of the total system. In this paper we studied how to decide these two design factors when a monitoring network is designed for the purposse of water quality surveillance and emergency alarm. For measurement locations, candidate sites are chosen based on the intake amount for water supply and the point sources of contamination. Then, detailed locations are decided according to the contaminant flow distance. As for measurement items, characteristics and the accident history of water pollution in the basin must be taken into account. Considering economic aspects, we proposed a two-stage measurement plan: basic components for all locations and selective ones variable for different locations. Proposed methodology is demonstrated through a case study for Nak-dong River Basin.

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The Filtering Method to Reduce Corner Outlier Artifacts in HEVC (Corner Outlier Artifacts를 감소시키기 위한 HEVC 필터링 방법)

  • Ko, Kyung-hwan
    • Journal of Broadcast Engineering
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    • v.22 no.3
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    • pp.313-320
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    • 2017
  • The In-loop filtering methods such as de-blocking filter and SAO(Sample Adaptive Offset) applied to the HEVC standard achieves coding efficiency and subjective quality improvement by reducing the blocking artifacts and the ringing artifacts. However, despite the use of In-loop filtering methods, the artifacts called a corner outlier occurring at the corner points of block boundaries are not removed. In this paper, the corner outlier artifacts are reduced by the detection, determination, and filtering processes on the corner outlier pixels. Experimental results show that the proposed method improves the subjective picture quality and slightly increases the coding efficiency in Inter prediction.

Accurate Determination of Malachite Green and Leucomalachite Green in Fish using Isotope Dilution Liquid Chromatography/Mass Spectrometry (ID-LC/MS)

  • Ahn, Seong-Hee;Kim, Byung-Joo;Lee, Yun-Jung;Kim, Jeong-Kwon
    • Bulletin of the Korean Chemical Society
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    • v.31 no.11
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    • pp.3228-3232
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    • 2010
  • Malachite green (MG) has been used world-widely in aquaculture as a parasiticide or fungicide. Although MG performed successfully, it has not been permitted for use in aquaculture from European Union, USA, and Canada because of its carcinogenicity and mutagenicity. We developed a sensitive and specific method to determine MG and its principal metabolite, leucomalachite green (LMG), respectively by isotope dilution liquid chromatography mass spectrometry (ID-LC/MS). To enhance the extraction recovery of MG and LMG from fish tissue, an additional step, saponification, was introduced in sample preparation process to remove fat in sample extract, which hampered the performance of SPE columns. The residue of MG and LMG in fish was analyzed using liquid chromatography mass spectrometry in the selected ion monitoring (SIM) mode by monitoring at m/z 329 and 334 for MG and $d_5$-MG and at m/z 331 and 337 for LMG and $^{13}C_6$-LMG, respectively. This method was validated by comparing with the value of the reference material provided by Laboratory Government Chemistry (LGC). The results agreed within the measurement uncertainty and the accuracy was much improved than the provided reference value by LGC.

Determination of concrete quality with destructive and non-destructive methods

  • Kibar, Hakan;Ozturk, Turgut
    • Computers and Concrete
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    • v.15 no.3
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    • pp.473-484
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    • 2015
  • In this study, the availability of Schmidt hammer has been investigated as a reliable method to determine the quality of concrete in irrigation networks. For this purpose, the 28-day compressive strength of concrete material used in the construction irrigation channel of Bafra lowland, which is one of the most fertile plains in Turkey was examined by means of concrete compression and as well as concrete Schmidt hammer in laboratory conditions. This study was carried out on cylindrical samples to represent the everyday concrete party ($150m^3$) produced by contractor firm as 3 replications. The statistical analysis of experimental data showed that the correlations between the values of 28-day compressive strength of Schmidt hammer and the rebound number was found to be 0.98. Differences of the compressive strength between compression testing and Schmidt hammer were statistically significant at P<0.01. In this context, it was found that the reliability of compressive strength of the concrete compression test are excellent, also the reliability of compressive strength of Schmidt hammer are fair in assessing the quality of concrete irrigation channels.

Study on Prediction of Internal Quality of Cherry Tomato using Vis/NIR Spectroscopy (가시광 및 근적외선 분광기법을 이용한 방울토마토의 내부품질 예측에 관한 연구)

  • Kim, Dae-Yong;Cho, Byoung-Kwan;Mo, Chang-Yeun;Kim, Young-Sik
    • Journal of Biosystems Engineering
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    • v.35 no.6
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    • pp.450-457
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    • 2010
  • Although cherry tomato is one of major vegetables consumed in fresh vegetable market, the quality grading method is mostly dependant on size measurement using drum shape sorting machines. Using Visible/Near-infrared spectroscopy, apparatus to be able to acquire transmittance spectrum data was made and used to estimate firmness, sugar content, and acidity of cherry tomatoes grown at hydroponic and soil culture. Partial least square (PLS) models were performed to predict firmness, sugar content, and acidity for the acquired transmittance spectra. To enhance accuracy of the PLS models, several preprocessing methods were carried out, such as normalization, multiplicative scatter correction (MSC), standard normal variate (SNV), and derivatives, etc. The coefficient of determination ($R^2_p$) and standard error of prediction (SEP) for the prediction of firmness, sugar, and acidity of cherry tomatoes from green to red ripening stages were 0.859 and 1.899 kgf, with a preprocessing of normalization, 0.790 and $0.434^{\circ}Brix$ with a preprocessing of the 1st derivative of Savitzky Golay, and 0.518 and 0.229% with a preprocessing normalization, respectively.

Quantitative Analysis of Aucklandia Lappa Using Costunolide and Dehydrocostuslactone (Costunolide와 Dehydrocostuslactone을 이용한 목향의 함량분석)

  • Eom, Min Rye;Weon, Jin Bae;Yun, Bo-Ra;Lee, Jiwoo;Ma, Choong Je
    • Korean Journal of Pharmacognosy
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    • v.44 no.3
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    • pp.235-241
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    • 2013
  • Aucklandia lappa Decne (Compositae) has been used for treatment of abdominal pain, vomiting, diarrhea, chronic inflammation, and antibacterial effect. The quality of these herbs has been affected by many factors such as collection time, place, temperature, cultivation environment and manufacturing process. We used costunolide and dehydrocostuslactone as marker compounds for quality evaluation of rhizome of Aucklandia lappa. 66 samples of Aucklandia lappa were collected from those habitats in Korea and China. The developed HPLC-DAD method was applied to investigate for quality control of Aucklandia lappa samples. The average contents of the costunolide and dehydrocostuslactone were 2.3895% and 0.9258%, respectively. The principal component analysis (PCA) exhibited that classification of Aucklandia lappa according to origin not separated. Results of this study may be satisfactory applied to determination of content criteria of Aucklandia lappa.

A Generalized Image Interpolation-based Reversible Data Hiding Scheme with High Embedding Capacity and Image Quality

  • Tsai, Yuan-Yu;Chen, Jian-Ting;Kuo, Yin-Chi;Chan, Chi-Shiang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.9
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    • pp.3286-3301
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    • 2014
  • Jung and Yoo proposed the first image interpolation-based reversible data hiding algorithm. Although their algorithm achieved superior interpolation results, the embedding capacity was insufficient. Lee and Huang proposed an improved algorithm to enhance the embedding capacity and the interpolation results. However, these algorithms present limitations to magnify the original image to any resolution and pixels in the boundary region of the magnified image are poorly manipulated. Furthermore, the capacity and the image quality can be improved further. This study modifies the pixel mapping scheme and adopts a bilinear interpolation to solve boundary artifacts. The modified reference pixel determination and an optimal pixel adjustment process can effectively enhance the embedding capacity and the image quality. The experimental results show our proposed algorithm achieves a higher embedding capacity under acceptable visual distortions, and can be applied to a magnified image at any resolution. Our proposed technique is feasible in reversible data hiding.

Prediction models of rock quality designation during TBM tunnel construction using machine learning algorithms

  • Byeonghyun Hwang;Hangseok Choi;Kibeom Kwon;Young Jin Shin;Minkyu Kang
    • Geomechanics and Engineering
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    • v.38 no.5
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    • pp.507-515
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    • 2024
  • An accurate estimation of the geotechnical parameters in front of tunnel faces is crucial for the safe construction of underground infrastructure using tunnel boring machines (TBMs). This study was aimed at developing a data-driven model for predicting the rock quality designation (RQD) of the ground formation ahead of tunnel faces. The dataset used for the machine learning (ML) model comprises seven geological and mechanical features and 564 RQD values, obtained from an earth pressure balance (EPB) shield TBM tunneling project beneath the Han River in the Republic of Korea. Four ML algorithms were employed in developing the RQD prediction model: k-nearest neighbor (KNN), support vector regression (SVR), random forest (RF), and extreme gradient boosting (XGB). The grid search and five-fold cross-validation techniques were applied to optimize the prediction performance of the developed model by identifying the optimal hyperparameter combinations. The prediction results revealed that the RF algorithm-based model exhibited superior performance, achieving a root mean square error of 7.38% and coefficient of determination of 0.81. In addition, the Shapley additive explanations (SHAP) approach was adopted to determine the most relevant features, thereby enhancing the interpretability and reliability of the developed model with the RF algorithm. It was concluded that the developed model can successfully predict the RQD of the ground formation ahead of tunnel faces, contributing to safe and efficient tunnel excavation.

A study on the monitoring of high-density fine particulate matters using W-station: Case of Jeju island (W-Station을 활용한 고밀도 초미세먼지 모니터링 연구: 제주도 사례)

  • Lee, Jong-Won;Park, Moon-Soo;Won, Wan-Sik;Son, Seok-Woo
    • Particle and aerosol research
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    • v.16 no.2
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    • pp.31-47
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    • 2020
  • Although interest in air quality has increased due to the frequent occurrence of high-concentration fine particulate matter recently, the official fine particulate matter measuring network has failed to provide spatial detailed air quality information. This is because current measurement equipment has a high cost of installation and maintenance, which limits the composition of the measuring network at high resolution. To compensate for the limitations of the current official measuring network, this study constructed a spatial high density measuring network using the fine particulate matter simple measuring device developed by Observer, W-Station. W-Station installed 48 units on Jeju Island and measured PM2.5 for six months. The data collected in W-Station were corrected by applying the first regression equation for each section, and these measurements were compared and analyzed based on the official measurements installed in Jeju Island. As a result, the time series of PM2.5 concentrations measured in W-Station showed concentration characteristics similar to those of the environmental pollution measuring network. In particular, the results of comparing the measurements of W-Station within a 2 km radius of the reference station and the reference station showed that the coefficient of determination (R2) was 0.79, 0.81, 0.67, respectively. In addition, for W-Station within a 1 km radius, the coefficient of determination was 0.85, 0.82, 0.68, respectively, showing slightly higher correlation. In addition, the local concentration deviation of some regions could be confirmed through 48 high density measuring networks. These results show that if a network of measurements is constructed with adequate spatial distribution using a number of simple meters with a certain degree of proven performance, the measurements are effective in monitoring local air quality and can be fully utilized to supplement or replace formal measurements.

Determination of Additives Content in Aviation Turbine Fuel Using Multi-dimensional GC-MS (Multi-dimensional GC-MS를 이용한 항공터빈유의 첨가제 분석)

  • Youn, Ju Min;Jang, Yoon Mi;Yim, Eui Soon;Kim, Seong Lyong;Kang, Yong
    • Journal of the Korean Applied Science and Technology
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    • v.35 no.4
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    • pp.1260-1268
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    • 2018
  • To improve fuel performance and specific characteristics of long storage and moving through fuel systems additives should be added in kerosene type aviation turbine fuel (AVTUR) such as antioxidant, fuel system icing inhibitor (FSII), electric conductivity improvers and so on. The dosage of additives has to be analyzed qualitatively and quantitatively due to inspect the quality of abnormal fuel and distinguish other petroleum products. Multi-dimensional GC-MS (MDGC-MS) with Deans switching technique are applied the determination of antioxidant and FSII, which are added with AVTUR containing complex mixture of hydrocarbons. Antioxidant and FSII in the range of 2.5-20 mg/L was quantitatively and qualitatively analyzed using MDGC-MS and the detection limit was about twice as low as that of the 1-dimensional GC-MS results. The method in this study has been higher peak resolution compared with GC-MS and could be simultaneously analyzed different two additives without sample pre-treatment.