• Title/Summary/Keyword: 오차 허용 범위

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Fault reactivation potential during $CO_2$ injection in the Gippsland Basin, Australia (호주 Gippsland Basin에서 $CO_2$ 주입 중 단층 재활성화의 가능성)

  • Ruth, Peter J. van;Nelson, Emma J.;Hillis, Richard R.
    • Geophysics and Geophysical Exploration
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    • v.9 no.1
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    • pp.50-59
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    • 2006
  • The risk of fault reactivation in the Gippsland Basin was calculated using the FAST (Fault Analysis Seal Technology) technique, which determines fault reactivation risk by estimating the increase in pore pressure required to cause reactivation within the present-day stress field. The stress regime in the Gippsland Basin is on the boundary between strike-slip and reverse faulting: maximum horizontal stress $({\sim}\;40.5\;Mpa/km)$ > vertical stress (21 Mpa/km) ${\sim}$ minimum horizontal stress (20 MPa/km). Pore pressure is hydrostatic above the Campanian Volcanics of the Golden Beach Subgroup. The NW-SE maximum horizontal stress orientation $(139^{\circ}N)$ determined herein is broadly consistent with previous estimates, and verifies a NW-SE maximum horizontal stress orientation in the Gippsland Basin. Fault reactivation risk in the Gippsland Basin was calculated using two fault strength scenarios; cohesionless faults $(C=0;{\mu}=0.65)$ and healed faults $(C=5.4;\;{\mu}=0.78)$. The orientations of faults with relatively high and relatively low reactivation potential are almost identical for healed and cohesionless fault strength scenarios. High-angle faults striking NE-SW are unlikely to reactivate in the current stress regime. High-angle faults oriented SSE-NNW and ENE-WSW have the highest fault reactivation risk. Additionally, low-angle faults (thrust faults) striking NE-SW have a relatively high risk of reactivation. The highest reactivation risk for optimally oriented faults corresponds to an estimated pore pressure increase (Delta-P) of 3.8 MPa $({\sim}548\;psi)$ for cohesionless faults and 15.6 MPa $({\sim}2262\;psi)$ for healed faults. The absolute values of pore pressure increase obtained from fault reactivation analysis presented in this paper are subject to large errors because of uncertainties in the geomechanical model (in situ stress and rock strength data). In particular, the maximum horizontal stress magnitude and fault strength data are poorly constrained. Therefore, fault reactivation analysis cannot be used to directly measure the maximum allowable pore pressure increase within a reservoir. We argue that fault reactivation analysis of this type can only be used for assessing the relative risk of fault reactivation and not to determine the maximum allowable pore pressure increase a fault can withstand prior to reactivation.

In Tomotherapy, for the Maintenance of Body Temperature due to Substance Use, Changes in Dose Assessment in the Organization (TOMO 치료 시 체온 유지를 위한 물질 사용에 따른 조직 내 선량 변화 평가)

  • Hwang, Jae-Woong;Jeong, Do-Hyeong;Kim, Dae-Woong;Yang, Jin-Ho;Choi, Gye-Suk
    • The Journal of Korean Society for Radiation Therapy
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    • v.22 no.2
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    • pp.131-134
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    • 2010
  • Purpose: TOMO therapy treatment for a relatively long run Beam time and temperature-sensitive detector, such as CT clinics in optimal temperature ($20~21^{\circ}$) to maintain a constant temperature in addition to its own Chamber Cooling system is activating. TOMO This clinic has been reduced in the patients' body temperature to keep the sheets and covers over the treated area. Therefore, these materials for any changes in the organization gives the dose were analyzed. Materials and Methods: To compare changes in the organization Dose Phantom cheese (Cheese Phantom) were used, CT-simulation taking the center point of the cheese phantom PTV (Planning Target Volume, treatment planning target volume) by setting Daily dose 200 cGy, 3 meetings planned treatment. PTV, PTV +7 cm, PTV +14 cm, the total count points on the phantom using the Ion chamber cover without any substance to measure the dose, and one of the most commonly used treatment, including the frequently used four kinds of bedding materials (febric 0.8 mm, gown 1.4 mm, rug, 3.3 mm, blanket 13.7 mm) and covered with a phantom and the dose measured at the same location were analyzed 3 times each. Results: PTV, PTV +7 cm, PTV +14 cm from the point of any substance measured in the state are covered with four kinds of materials (fabric, gown, rug, blanket) was measured in the covered states and compares their results, PTV respectively -0.17%, -0.44%, -0.53% and -0.9% change, PTV +7 cm, respectively -0.04%, +0.07%, +0.06%, +0.07%, were changed, PTV +14 cm, respectively 0%, -0.06%, -0.02%, +0.6%, respectively. Conclusion: These results TOMO treatment to patients to maintain their body mass by using PTV thickness of the material decreased in proportion to. PTV +7 cm, but showed slight changes in the point, PTV +14 cm at the point of the dose was increased a little. Sejijeom all the difference in treatment tolerance ${\pm}3%$ range, this is confirmed in the coming treatment will not affect the larger should be considered.

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Preparation of Polystyrene Beads by Suspension Polymerization with Hydrophobic Silica as a Stabilizer in Aqueous Solution (소수성 실리카를 안정제로 이용하는 수용액 상에서의 현탁중합법에 의한 폴리스티렌 입자 합성)

  • Park, Moon-Soo
    • Polymer(Korea)
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    • v.30 no.6
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    • pp.498-504
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    • 2006
  • A suspension polymerization of styrene In aqueous phase was employed to study if polystyrene particles ranging from 1 to $20{\mu}m$ can be produced. Hydrophobic silica was selected as a stabilizer and azo-bisisobutyronitrile (AIBN) as an initiator. Polymerization reaction was carried out at a selected temperature in the range of $65{\sim}95^{\circ}C$. Stabilizer concentration was varied from 0.17 to 3.33 wt% compared to the water while the concentration of the initiator was raised from 0.13 to 6.0 wt% compared to the monomer. Dispersion of hydrophobic silica into the water phase was achieved by precise control of pH. Optimum dispersion of silica was obtained at pH 10. Average particle diameter decreased with increasing amounts of stabilizer concentration initially, exhibiting the minimum average diameter at 1.67 wt% of stabilizer concentration, after which it started to Increase. It is speculated that an excessive presence of stabilizer encouraged a secondary reaction in the reaction medium, which led to particle agglomeration, and as a result an increase in average particle diameter. Molecular weight was found to be independent of stabilizer concentration between 0.13 and 1.00 wt% whereas, it increased when stabilizer concentration exceeded 1.67 wt%. Variation of molecular weight was probably caused by the reduced activity and efficiency of initiator due to the high concentration of silica, and the secondary reaction in the reaction medium, as well. An increase in the Initiator concentration and/or reaction temperature resulted in an increase in both reaction rate and particle diameter. Consequently, we have confirmed that spherical polystyrene particles with $1{\sim}20{\mu}m$ in diameter can be prepared by careful selection of the concentration of stabilizer, initiator, pH and reaction temperature.

Sugar Contents Analysis of Retort Foods (레토르트식품에 함유되어 있는 당 함량 분석)

  • Jeong, Da-Un;Im, Jun;Kim, Cheon-Hoe;Kim, Young-Kyoung;Park, Yoon-Jin;Jeong, Yoon-Hwa;Om, Ae-Son
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.44 no.11
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    • pp.1666-1671
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    • 2015
  • The purpose of this study was to provide trustworthy nutritional information by analyzing sugar contents of commercial retort foods. A total of 70 retort food samples were collected, which included curry (n=21), blackbean- sauce (n=16), sauce (n=17), and meat (n=16) from markets in Seoul and Gyeonggi-do. Contents of sugars such as glucose, fructose, sucrose, maltose, and lactose were analyzed in retort foods by using a high performance liquid chromatography-refractive index detector and compared to their assigned values on nutritional information labels. Analyzed sugar contents of curries, black-bean-sauces, sauces, and meats ranged from 1.05~4.63 g/100 g, 1.76~5.16 g/100 g, 0.35~25.44 g/100 g, and 1.98~11.07 g/100 g, respectively. Sauces were found to contain the highest amounts of total sugar. These analysis values were equivalent to the reference values indicated on nutrition labels, which were 40~119.5% for curries, 29~118% for black-bean-sauces, 18~118% for sauces, and 70~119.8% for meats. Therefore, this study provides reliable analytical values for sugar contents in retort foods.

A Study on Fat Content in Commercial Retort Foods - Crude Fat, Saturated Fatty Acid and Trans Fatty Acid - (시판 레토르트식품의 지방함량 조사 - 조지방, 포화지방, 트랜스지방산 중심으로 -)

  • Jeong, Da-Un;Im, June;Kim, Cheon-Hoe;Kim, Young-Kyoung;Park, Yoon-Jin;Om, Ae-Son
    • Korean journal of food and cookery science
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    • v.31 no.5
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    • pp.652-659
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    • 2015
  • The aim of this study was to provide nutrition information to consumers by analyzing crude fat, saturated and trans fatty acids in commercial retort foods (n=70). The following sauce products of curries (n=21) and black-bean-sauces (n=16), other sauces (n=17) and instant cooking foods (n=16) were collected. Crude fat contents were quantified with the Rose-Gottlieb method using acid digestion. While saturated and trans fatty acids were examined by gas chromatography with a flame ionization detector (FID). Crude fat, saturated and trans fatty acid content ranges were $0.47{\pm}0.42{\sim}12.80{\pm}0.07g/100g$, $0.24{\pm}0.02{\sim}17.41{\pm}0.41g/100g$, $0.00{\pm}0.00{\sim}0.46{\pm}0.05g/100g$, respectively. Maximum recovery of analysis values was crude fat (119.7%), saturated fat (119%) and trans fatty acid (90%) compared the actual amounts based on the reference value indicated on the nutrition label. The analyzed samples were found to be compliant with nutrition label standard, because the contents of crude fat, saturated fatty acid, trans fatty acid were less than 120% of the reference value indicated on the nutrition label in retort foods. Therefore, the nutrition information on retort foods available to consumers was found to be trustworthy.

A Case Study on Forecasting Inbound Calls of Motor Insurance Company Using Interactive Data Mining Technique (대화식 데이터 마이닝 기법을 활용한 자동차 보험사의 인입 콜량 예측 사례)

  • Baek, Woong;Kim, Nam-Gyu
    • Journal of Intelligence and Information Systems
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    • v.16 no.3
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    • pp.99-120
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    • 2010
  • Due to the wide spread of customers' frequent access of non face-to-face services, there have been many attempts to improve customer satisfaction using huge amounts of data accumulated throughnon face-to-face channels. Usually, a call center is regarded to be one of the most representative non-faced channels. Therefore, it is important that a call center has enough agents to offer high level customer satisfaction. However, managing too many agents would increase the operational costs of a call center by increasing labor costs. Therefore, predicting and calculating the appropriate size of human resources of a call center is one of the most critical success factors of call center management. For this reason, most call centers are currently establishing a department of WFM(Work Force Management) to estimate the appropriate number of agents and to direct much effort to predict the volume of inbound calls. In real world applications, inbound call prediction is usually performed based on the intuition and experience of a domain expert. In other words, a domain expert usually predicts the volume of calls by calculating the average call of some periods and adjusting the average according tohis/her subjective estimation. However, this kind of approach has radical limitations in that the result of prediction might be strongly affected by the expert's personal experience and competence. It is often the case that a domain expert may predict inbound calls quite differently from anotherif the two experts have mutually different opinions on selecting influential variables and priorities among the variables. Moreover, it is almost impossible to logically clarify the process of expert's subjective prediction. Currently, to overcome the limitations of subjective call prediction, most call centers are adopting a WFMS(Workforce Management System) package in which expert's best practices are systemized. With WFMS, a user can predict the volume of calls by calculating the average call of each day of the week, excluding some eventful days. However, WFMS costs too much capital during the early stage of system establishment. Moreover, it is hard to reflect new information ontothe system when some factors affecting the amount of calls have been changed. In this paper, we attempt to devise a new model for predicting inbound calls that is not only based on theoretical background but also easily applicable to real world applications. Our model was mainly developed by the interactive decision tree technique, one of the most popular techniques in data mining. Therefore, we expect that our model can predict inbound calls automatically based on historical data, and it can utilize expert's domain knowledge during the process of tree construction. To analyze the accuracy of our model, we performed intensive experiments on a real case of one of the largest car insurance companies in Korea. In the case study, the prediction accuracy of the devised two models and traditional WFMS are analyzed with respect to the various error rates allowable. The experiments reveal that our data mining-based two models outperform WFMS in terms of predicting the amount of accident calls and fault calls in most experimental situations examined.

Evaluation of Spectral Band Adjustment Factor Applicability for Near Infrared Channel of Sentinel-2A Using Landsat-8 (Landsat-8을 활용한 Sentinel-2A Near Infrared 채널의 Spectral Band Adjustment Factor 적용성 평가)

  • Nayeon Kim;Noh-hun Seong;Daeseong Jung;Suyoung Sim;Jongho Woo;Sungwon Choi;Sungwoo Park;Kyung-Soo Han
    • Korean Journal of Remote Sensing
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    • v.39 no.3
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    • pp.363-370
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    • 2023
  • Various earth observation satellites need to provide accurate and high-quality data after launch. To maintain and enhance the quality of satellite data, it is crucial to employ a cross-calibration process that accounts for differences in sensor characteristics, such as the spectral band adjustment factor (SBAF). In this study, we utilized Landsat-8 and Sentinel-2A satellite imagery collected from desert sites in Libya4, Algeria3, and Mauritania2 among pseudo-invariant calibration sites to calculate and apply SBAF, thereby compensating the uncertainties arising from variations in bandwidths. We quantitatively compared the reflectance differences based on the similarity of bandwidths, including Blue, Green, Red, and both the near-infrared (NIR) narrow, and NIR bands of Sentinel-2A. Following the application of SBAF, significant results with reflectance differences of approximately 1% or less were observed for all bands except NIR. In the case of the Sentinel-2A NIR band, it exhibited a significantly larger bandwidth difference compared to the NIR narrow band. However, after applying SBAF, the reflectance difference fell within the acceptable error range (5%) of 1-2%. It indicates that SBAF can be applied even when there is a substantial difference in the bandwidths of the two sensors, particularly in situations where satellite utilization is limited. Therefore, it was determined that SBAF could be applied even when the bandwidth difference between the two sensors is large in a situation where satellite utilization is limited. It is expected to be helpful in research utilizing the quality and continuity of satellite data.