• Journal of the Korean GEO-environmental Society
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• v.5 no.4
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• pp.25-31
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• 2004

In conventional activated sludge process, COD fractions in wastewater are important parameters, significantly. Depending on characteristics of influent COD fractionation, activated sludge process requires a major change of a process operation to ensure meeting a stricter standards. In order to validate and evaluate the accuracy of the traditional COD fractionation methodologies, readily and slowly biodegradable COD was mixed using glucose and peptone as a sole carbon source in a synthetic wastewater, respectively. In this research, prediction of the COD fraction was made using the OUR(Oxygen Utilization Rate) and the NUR(Nitrate Utilization Rate) experiments. The result showed that COD fractions calculated by OUR experiment were similar to the composition of synthetic wastewater. On the other hand, it was found that an error was generated during the NUR experiment. This error was due to the intracellular storage period for storage microorganisms such as PAOs, and the error in COD fraction was observed about 8-14 % in terms of Total COD.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.4D
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• pp.573-580
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• 2006

The Saturation headway is a major parameter in estimating the intersection capacity and setting the signal timing. But Existing algorithms are still far from being robust in dealing with factors related to the variation of saturation headways at signalized intersections. So this study apply the fuzzy inference system using ANFIS. The ANFIS provides a method for the fuzzy modeling procedure to learn information about a data set, in order to compute the membership function parameters that best allow the associated fuzzy inference system to track the given input/output data. The climate conditions and the degree of brightness were chosen as the input variables when the rate of heavy vehicles is 10-25 %. These factors have the uncertain nature in quantification, which is the reason why these are chosen as the fuzzy variables. A neuro-fuzzy inference model to estimate saturation headways at signalized intersections was constructed in this study. Evaluating the model using the statistics of $R^2$, MAE and MSE, it was shown that the explainability of the model was very high, the values of the statistics being 0.993, 0.0289, 0.0173 respectively.

• Korean Journal of Remote Sensing
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• v.37 no.5_1
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• pp.847-859
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• 2021

Recently, as the number of high-resolution satellite SAR images increases, the demand for precise matching of SAR imagesin change detection and image fusion is consistently increasing. RMSE (Root Mean Square Error) values using GCPs (Ground Control Points) selected by analysts have been widely used for quantitative evaluation of image registration results, while it is difficult to find an approach for automatically measuring the registration accuracy. In this study, a feasibility analysis was conducted on using the FSIM (Feature Similarity) index as a measure to evaluate the registration accuracy. TerraSAR-X (TSX) staring spotlight data collected from various incidence angles and orbit directions were used for the analysis. FSIM was almost independent on the spatial resolution of the SAR image. Using a single SAR image, the FSIM with respect to registration errors was analyzed, then use it to compare with the value estimated from TSX data with different imaging geometry. FSIM index slightly decreased due to the differencesin imaging geometry such as different look angles, different orbit tracks. As the result of analyzing the FSIM value by land cover type, the change in the FSIM index according to the co-registration error was most evident in the urban area. Therefore, the FSIM index calculated in the urban was mostsuitable for determining the accuracy of image registration. It islikely that the FSIM index has sufficient potential to be used as an index for the co-registration accuracy of SAR image.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.36 no.4
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• pp.449-455
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• 2012

During the measurement of the flow rate of gases such as natural gas, flow hunting is observed in most orifice meters but the intensity of flow hunting at each metering system shows different characteristics. In order to investigate why such a difference occurs and whether the difference actually influences metering error, pipeline network analysis on the main factors and characteristics of flow hunting was carried out in a previous study. Following this, in this study, computational fluid dynamics (CFD) analysis was carried out to clarify the relation between flow instability and flow hunting and determine the factors influencing the orifice meter depending on the intensity of upward pressure fluctuation, time interval, and flow rate. Finally, we showed that the pressure hunting rate is a function of the ratio of the pressure difference before and after an orifice meter. On the basis of CFD analysis results, we also presented some major factors and relations influencing flow hunting.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.3
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• pp.405-412
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• 2020

The thermistor mount is used for precise RF power measurement because the calibration factor is constant according to the change of power. The calibration factor of the standard mount can be measured with an uncertainty less than 0.5 % from the 10 MHz to 1 GHz by direct comparison with the transfer standard using the DC substitution method. Recently, as the supply of precision power meter based on DC substitution method allows simple and fast measurement, a simple direct comparison measurement system with the same level uncertainty was designed and the minimum required specifications of components through analysis of mismatch error was proposed. The uncertainty was evaluated for system validation, and the results show that uncertainties have been well maintained within 0.5 % in the measurement frequencies.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.171-177
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• 2022

In this paper, we propose a service method that can provide insight into multi-source agricultural data, way to cluster environmental factor which supports data analysis according to time flow, and curate crop environmental factors. The proposed curation service consists of four steps: collection, preprocessing, storage, and analysis. First, in the collection step, the service system collects and organizes multi-source agricultural data by using an OpenAPI-based web crawler. Second, in the preprocessing step, the system performs data smoothing to reduce the data measurement errors. Here, we adopt the smoothing method for each type of facility in consideration of the error rate according to facility characteristics such as greenhouses and open fields. Third, in the storage step, an agricultural data integration schema and Hadoop HDFS-based storage structure are proposed for large-scale agricultural data. Finally, in the analysis step, the service system performs DTW-based time series classification in consideration of the characteristics of agricultural digital data. Through the DTW-based classification, the accuracy of prediction results is improved by reflecting the characteristics of time series data without any loss. As a future work, we plan to implement the proposed service method and apply it to the smart farm greenhouse for testing and verification.

• Journal of Chest Surgery
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• v.39 no.4 s.261
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• pp.289-297
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• 2006

Background: Surgery for Stanford type A aortic dissection shows a high operative mortality rate and frequent postoperative brain injury. This study was designed to find out the risk factors leading to operative mortality and brain injury after surgical repair in patients with type A aortic dissection. Material and Method: One hundred and eleven patients with type A aortic dissection who underwent surgical repair between February, 1995 and January 2005 were reviewed retrospectively. There were 99 acute dissections and 12 chronic dissections. Univariate and multivariate analysis were performed to identify risk factors of operative mortality and brain injury. Resuit: Hospital mortality occurred in 6 patients (5.4%). Permanent neurologic deficit occurred in 8 patients (7.2%) and transient neurologic deficit in 4 (3.6%). Overall 1, 5, 7 year survival rate was 94.4, 86.3, and 81.5%, respectively. Univariate analysis revealed 4 risk factors to be statistically significant as predictors of mortality: previous chronic type III dissection, emergency operation, intimal tear in aortic arch, and deep hypothemic circulatory arrest (DHCA) for more than 45 minutes. Multivariate analysis revealed previous chronic type III aortic dissection (odds ratio (OR) 52.2), and DHCA for more than 45 minutes (OR 12.0) as risk factors of operative mortality. Pathological obesity (OR 12.9) and total arch replacement (OR 8.5) were statistically significant risk factors of brain injury in multivariate analysis. Conclusion: The result of surgical repair for Stanford type A aortic dissection was good when we took into account the mortality rate, the incidence of neurologic injury, and the long-term survival rate. Surgery of type A aortic dissection in patients with a history of chronic type III dissection may increase the risk of operative mortality. Special care should be taken and efforts to reduce the hypothermic circulatory arrest time should alway: be kept in mind. Surgeons who are planning to operate on patients with pathological obesity, or total arch replacement should be seriously consider for there is a higher risk of brain injury.

• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.795-798
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• 2000

연속음 인식과 음성 합성을 위해서는 정밀한 음성학적 모델과 연속 음성에 적용 가능한 언어 모델의 개발이 중요하다. 이를 위해서는 음성 데이터 베이스에 대한 인식 단위, 혹은 합성 단위의 분할이 필요한데, 수동음성 분할은 일관성의 유지가 어렵고 긴 시간이 소요되므로 최근에는 자동 분할 기술이 많이 연구되고 있다. 자동 음성 분할 기법으로는 시간 영역이나 주파수 영역특징 벡터의 천이를 분석하는 방법과 특징 벡터간의 상관도를 구하여 경계를 추출하는 방법이 있다. LPC smoothed log amplitude spectra는 음성의 주파수 영역의 특징을 잘 나타내며, 동일 음소 내의 상관도가 서로 다른 음소의 상관도보다 더 크고, 음소의 경계구간에서 급격한 상관도의 변화를 보인다. 이 특성을 이용하여 이웃 프레임에 대한 상관도의 방향성이 특정조건을 만족하는가를 검사하여 음소의 경계를 구하는 방법을 찾았다. 또한 LPC. 이득 인자만으로 묵음 구간을 검출하는 방법을 제시한다. 이렇게 하면 묵음 구간검출과 음소 경계 검출의 일관성을 향상시키고 수행 시간을 단축시킬 수 있다. 제안한 기법으로 허용 오차 20ms 이내에서 연속음성에 대한 음소 경계 검출 실험을 수행한 결과, 수작업으로 행한 경계 검출 지점의 약 88%를 정확히 검출하였다.

• 한국유가공학회:학술대회논문집
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• 1997.10a
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• pp.1-49
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• 1997

HACCP팀은 모든 종사자(소유자 포함)에 대한 기구조직표, 역할분담 및 인수인계사항을 작성하고 모든 종사자는 사전에 HACCP system에 대해 충분히 이해시킬것. 또한 자체 위생관리현황이나 법적 관련규정을 정확하게 이해할 것. HACCP(준비)팀은 HACCP system의 적용을 위한 식품 품목 또는 유형, 시설, 공정단계, 지역 및 위해요인 종류의 범위를 정확하게 결정하여 문서화할 것. 제품설명서와 공정흐름도는 이후 단계에 매우 중요한 기초정보를 제공한다. 따라서 현장을 확인하는 등 사실에 입각하여 정확하게 작성할 것. 위해분석은 인내심을 가지고 현실성을 고려한 충분한 기초자료를 이용하여 정확하게 수행할 것. CCP의 결정전에 위해방지방법, 허용수준, 관리자를 결정하고 해당공장내이 현실성을 고려하여 CCP를 결정할 것. 관리기준 및 허용오차는 물리화학적 인자에 대하여 충분한 기초자료를 통해 설정할 것. CCP에 대한 모니터링과 개선조치 방법을 6하원칙에 준하여 현장생산종사자 중심으로 구체적으로 작성할 것. 모니터링과 검증은 명확하게 구분하여 관리할 것.

• Proceedings of the Korean Nuclear Society Conference
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• 1997.10a
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• pp.429-436
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• 1997

운전원 훈련용 시뮬레이터의 국산화 개발계획에 따라 영광 원자력 3,4호기 발전소 운전원 훈련용 시뮬레이터가 국내 최초로 개발되었다. STK(space and time kinetics)와 RETACT (Real Time Advanced Core and Thermohydraulics)코드를 이용하여 영광 3,4호기 시뮬레이터의 실시간 NSSS 모델을 생성하였다. 생성된 모델의 검증(Verification Validation)을 위해 정상상태(Steady State)에서의 주요인자들이 ANS3.5의 오차범위이내임을 확인하였다. 과도상태(Transient)의 검증을 위해 터빈정지 과도상태와 주증기 관파열(Main Steam Line Rupture)사고를 실제 발전소 시험 데이터 및 성능해석 코드(NPA)를 이용하여 분석한 결과와 비교하였다. 비교 결과 기준발전소의 반응과 큰 차이 없이 운전원 훈련용 시뮬레이터의 규격인 ANS 3.5를 잘 만족함을 확인 할 수 있었다.