• Title/Summary/Keyword: Degradation parameters

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GC-MS Analysis of Amur Cork Tree Extract and Its Degradation Products

  • Ahn, Cheun-Soon
    • Journal of the Korean Society of Clothing and Textiles
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    • v.34 no.6
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    • pp.1042-1052
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    • 2010
  • The Degradation of amur cork tree extract is investigated by GC-MS after treating the dye with three thermal degradation systems of, room temperature (RT), $4^{\circ}C$ refrigeration (LT), $100^{\circ}C$ oven (OV), and $H_2O_2$/UV/$O_2$ (PER) degradation system for 0-24 days. It was found that PER degradation system represented the highest intensity of degradation treatment followed by OV treatment among the four degradation parameters. The possible fingerprint products of amur cork tree dye, that yielded 68% (or higher) reliability in the NIST spectral match, were isobenzofuran-1,3-dione,4,5-dimethoxy- (8.37 min, PER only), 1,3-dioxolo[4,5-g]isoquinolin-5(6H)-one,7,8-dihydro (9.41 min, PER only), canthine-6-one (10.24 min, RT, LT, OV only), and dihydroberberine (15.05 min, RT, LT, OV, PER) in the order of higher to lower possibility of detection. Unknown products 7 (13.43 min) and 8 (16.35 min) are two other possible fingerprint products of amur cork tree dye that require future identification.

Thermal Degradation Behavior and Reliability Analysis of Plastic Materials for Household Electric Appliances (가전제품용 플라스틱 재료의 열분해 거동 및 신뢰성 평가)

  • Im, Chang-Gyu;Kim, Jun-Young;Kim, Seong-Hun
    • Polymer(Korea)
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    • v.29 no.5
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    • pp.508-517
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    • 2005
  • The thermal degradation behavior and reliability analysis were investigated using dynamic thermogravimetric analysis (TGA) and accelerated degradation test (ADT) to characterize the dynamic parameters related to thermal degradation of plastic meterials for household electric appliances. In addition, the weathering of the plastic were performed by ADT using Xenon uc, and the color difference of the samples after ADT were measured with Color Eye 3010 specoophotometer. he activation energy for thermal degradation of the samples increased with increasing the rate of weight loss. The Kim-Park method was found to be more effective analysis in describing thermal degradation of plastic meterials. Plastic materials were very sensitive to ultra-violet rays in faster degradation.

APPLICATION OF HISTOGRAM OUTLIER ANALYSIS ON THE IMAGE DEGRADATION MODEL FOR BEST FOCAL POINT SELECTION

  • Shin, Hyun-Kyung
    • Journal of applied mathematics & informatics
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    • v.27 no.1_2
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    • pp.175-182
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    • 2009
  • Microscopic imaging system often requires the algorithm to adjust location of camera lenses automatically in machine level. An effort to detect the best focal point is naturally interpreted as a mathematical inverse problem [1]. Following Wiener's point of view [2], we interpret the focus level of images as the quantified factor appeared in image degradation model: g = $f{\ast}H+{\eta}$, a standard mathematical model for understanding signal or image degradation process [3]. In this paper we propose a simple, very fast and robust method to compare the degradation parameters among the multiple images given by introducing outlier analysis of histogram.

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Quantized CNN-based Super-Resolution Method for Compressed Image Reconstruction (압축된 영상 복원을 위한 양자화된 CNN 기반 초해상화 기법)

  • Kim, Yongwoo;Lee, Jonghwan
    • Journal of the Semiconductor & Display Technology
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    • v.19 no.4
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    • pp.71-76
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    • 2020
  • In this paper, we propose a super-resolution method that reconstructs compressed low-resolution images into high-resolution images. We propose a CNN model with a small number of parameters, and even if quantization is applied to the proposed model, super-resolution can be implemented without deteriorating the image quality. To further improve the quality of the compressed low-resolution image, a new degradation model was proposed instead of the existing bicubic degradation model. The proposed degradation model is used only in the training process and can be applied by changing only the parameter values to the original CNN model. In the super-resolution image applying the proposed degradation model, visual artifacts caused by image compression were effectively removed. As a result, our proposed method generates higher PSNR values at compressed images and shows better visual quality, compared to conventional CNN-based SR methods.

Comparison of In situ Dry Matter Degradation with In vitro Gas Production of Oak Leaves Supplemented with or without Polyethylene Glycol (PEG)

  • Ozkan, C. Ozgur;Sahin, M.
    • Asian-Australasian Journal of Animal Sciences
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    • v.19 no.8
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    • pp.1120-1126
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    • 2006
  • Dry matter (DM) degradation of leaves from Quercus cercis, Quercus libari, Quercus branti, and Quercus coccifera was determined using two different techniques: (i) in vitro gas production and (ii) the nylon bag degradability technique. In vitro gas production in the presence or absence of PEG and in situ DM disappearance were measured at 3, 6, 12, 24, 48, 72 and 96 h. In situ and in vitro DM degradation kinetics were described using the equation y = a+b ($1-e^{-ct}$). At all incubation times leaves from Quercus branti incubated with or without PEG gave significantly higher gas production than the other oak leaves except for 3 and 6 h incubation when leaves from Quercus branti without PEG supplementation only gave higher gas production than Quercus cercis and Quercus coccifera. At all incubation times except at 3, 6 and 12 h the DM disappearance from Quercus branti was significantly higher than the other species. Generally, PEG supplementation considerably increased the gas production at all incubation times and estimated parameters such as gas production rate ($c_{gas}$), gas production (ml) from the quickly soluble fraction ($a_{gas}$), gas production (b) from the insoluble fraction, potential gas production (a+b). However, all oak leaves did not give the same response to the PEG supplementation. Although the increase in gas production at 96 h incubation time was 8.9 ml for Quercus libari the increase was 5.5 ml for Quercus coccifera. It was concluded that except at early incubation times the relationships between the two methodologies seem to be sufficiently strong to predict degradability parameters from gas production parameters obtained in the presence or absence of PEG.

Photocatalytic degradation of TCE using solar energy in POFR (플라스틱 광섬유 광촉매 반응기에서 태양에너지를 이용한 TCE의 광촉매 분해)

  • Jeong, Hee-Rok;Moon, Il;Joo, Hyun-Ku;Jun, Myung-Seok
    • Journal of the Korean Solar Energy Society
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    • v.22 no.3
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    • pp.57-65
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    • 2002
  • The photocatalytic degradation of TCE using solar energy in POFR was studied. The use of solar energy was investigated in plastic optica fiber photocatalytic reactor (POFR). In POFR, the main parameters of photocatalytic degradation of TCE were lihgt intensity, thickness of $TiO_2$-coated film on plastic fiber core, the same of total $TiO_2$-coated surface area with changed length. We studied the apparent photonic efficiency and photocatalytic degradation rate of TCE in POFR. The apparent photonic efficiency of various light intensities was decreased by an incresed intensities. The photocatalytic activities of $TiO_2$-coated optical fiber reactor system depended on the coating thickness, and total clad-stripped surface area of POF. Photocatalytic degradation of trichloroethylene ($C_2HCl_3$, TCE) in the gas-phase was elucidated by using $TiO_2$-coated plastic optical fiber reactor. In TCE degradation, in-situ FTIR measurement resulted in mineralization into $CO_2$.

Degradation of p-nitrophenol by Gamma Irradiation

  • Lee, O Mi;Kim, Tae-Hun;Yu, Seungho;Jung, In-ha;Lee, Myunjoo
    • Journal of Radiation Industry
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    • v.5 no.4
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    • pp.353-357
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    • 2011
  • Degradation of p-nitrophenol has been carried out using only gamma irradiation or gamma irradiation with $H_2O_2$ or $Na_2S_2O_8$. Effects of different operating parameters such as initial concentration ($50mg\;l^{-1}$, $100mg\;l^{-1}$, $200mg\;l^{-1}$, $300mg\;l^{-1}$, $400mg\;l^{-1}$, $500mg\;l^{-1}$ and $600mg\;l^{-1}$) on the extent of degradation has been investigated. At 5 kGy, $50mg\;l^{-1}$ p-nitrophenol was completely degraded, and the radiolytic degradation of p-nitrophenol was described by the pseudo-first-order kinetic model. The combination of gamma irradiation with $H_2O_2$ or $Na_2S_2O_8$ leads to an enhanced effect, which remarkably increased the degradation efficiency of p-nitrophenol and TOC removal. However, at high $H_2O_2$ concentration, the efficacy of p-nitrophenol degradation is reduced because ${\cdot}OH$ radicals are scavenged by $H_2O_2$ and $Na_2S_2O_8$.

Numerical Approach to Predict the Long Term Behavior of Tunnel Considering the Degradation of Tunnel Members (수치해석을 이용한 터널 부재의 열화로 인한 장기 거동 예측)

  • Hoki, Ban;Donggyou, Kim
    • Journal of the Korean GEO-environmental Society
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    • v.23 no.12
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    • pp.33-39
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    • 2022
  • This paper presents the long-term behavior of tunnel considering the degradation of concrete lining and surrounding soil. Tunnel is a composite structure which has supporting elements (shotcrete, lining, and rockbolt) and surrounding soils. These supporting elements and surrounding soils undergo the degradation as time goes. A proposed degradation function which has two parameters which control the residual strength and degradation shape was applied to the numerical analysis. The results showed the plastic zone was spread around tunnel due to the degradation leading to the increase in unstability of tunnel.

Degradation analysis of horizontal steam generator tube bundles through crack growth due to two-phase flow induced vibration

  • Amir Hossein Kamalinia;Ataollah Rabiee
    • Nuclear Engineering and Technology
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    • v.55 no.12
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    • pp.4561-4569
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    • 2023
  • A correct understanding of vibration-based degradation is crucial from the standpoint of maintenance for Steam Generators (SG) as crucial mechanical equipment in nuclear power plants. This study has established a novel approach to developing a model for investigating tube bundle degradation according to crack growth caused by two-phase Flow-Induced Vibration (FIV). An important step in the approach is to calculate the two-phase flow field parameters between the SG tube bundles in various zones using the porous media model to determine the velocity and vapor volume fraction. Afterward, to determine the vibration properties of the tube bundles, the Fluid-Solid Interaction (FSI) analysis is performed in eighteen thermal-hydraulic zones. Tube bundle degradation based on crack growth using the sixteen most probable initial cracks and within each SG thermal-hydraulic zone is performed to calculate useful lifetime. Large Eddy Simulation (LES) model, Paris law, and Wiener process model are considered to model the turbulent crossflow around the tube bundles, simulation of elliptical crack growth due to the vibration characteristics, and estimation of SG tube bundles degradation, respectively. The analysis shows that the tube deforms most noticeably in the zone with the highest velocity. As a result, cracks propagate more quickly in the tube with a higher height. In all simulations based on different initial crack sizes, it was observed that zone 16 experiences the greatest deformation and, subsequently, the fastest degradation, with a velocity and vapor volume fraction of 0.5 m/s and 0.4, respectively.

Data-Base of Statistical Parameters from PD generated in Solid Insulation (고체절연재료에서 발생하는 부분방전 특성량의 Data-Base 구축)

  • Kang, S.H.;Lee, H.G.;Park, Y.G.;Kim, W.S.;Lee, Y.H.;Park, J.N.;Lim, K.J.
    • Proceedings of the KIEE Conference
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    • 2000.07c
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    • pp.1927-1929
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    • 2000
  • PD indicates the inception and progress of degradation of solid insulation system, so it has been used to determine degradation of insulation. PD provides means for detection and recognition of defects. However, there is still marked difficult to recognize defects by PD methods. In this paper, we investigated properties of PD in solid insulation by using statistical method with surface discharge, electrical tree and void discharge with source of discharge, we used statistical parameters of PD distributions specified such as $H_n(q)$, $H_{an}(\phi)$, $H_n(\phi)$, $H_a(\phi)$. The parameters induced from its specified distributions are average discharge, average repetition rate, Skewness, Kurtosis, asymmetry and correlation. From the parameters, we classified PD patterns and built up DB(data-base).

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