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오늘 본 자료
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Thiamin Requirements for Vegetative Growth and Fruit Body Formation of Lentinula edodes
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Feynman path integrals
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Design of a Digital PWM Controller for a Soft Switching SEPIC Converter
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Nano-sized anion-exchangers as a stationary phase in capillary electrochromatography for separation and on-line concentration of carboxylic acids
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Photo-Induced Spin Dynamics in Nanoelectronic Devices
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베트남의 한국 언어ㆍ문화 교육 현황에 관한 연구
- 검색키워드
- 저자 : 오준형 (검색결과 3 건)
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승용 디젤 엔진에서의 실린더 압력 정보를 이용한 저압 EGR의 고장 관리 시스템
The dual-loop exhaust gas recirculation (EGR) system is one of the technologies that can effectively cope with the strict emission regulations. Although the control strategy of the dual-loop EGR system is various, in general, the low pressure exhaust gas recirculation (LP EGR) system is controlled by a look-up table (LUT) based feedforward controller considering the complexity of control. In this case, the LP EGR system is sensitive to disturbances. Particulate matters (PM) accumulation through the LP EGR path may hinder to obtain the desired LP EGR rate and thus causes an increase of nitrogen oxides (NOx). The degree of lack of the LP EGR rate should be detected, i.e. an LP EGR fault, and a remedy to compensate for the lack of LP EGR rate via the offset generation of the exhaust throttle valve position should be a mandate to suppress NOx emission, i.e. a fault management. In order to accomplish those objectives, this study developed the LP EGR rate model via a modified orifice valve model by applying in-cylinder pressure information. Using this LP EGR rate model as a virtual sensor, the LP EGR fault diagnosis algorithm and fault tolerant control algorithm is proposed. The fault management system was implemented on the in-house engine management system (EMS) and validated at the fault condition in real-time. This study confirmed the reduction of NOx emissions by managing the LP EGR fault through the proposed fault management system. A modified orifice valve model was designed by applying in-cylinder pressure information to the conventional orifice valve model. The problem of the conventional orifice valve model which was the poor estimation performance in the fault condition was improved using the proposed model. The combustion parameter which had correlation with the LP EGR mass flow rate was derived, which modified the effective area of the conventional orifice valve model. Consequently, the LP EGR rate estimation was improved to the maximum error of 2.38 % and RMSE of 1.34 % at various operating condition even under the fault condition compared to that of the previous model with the maximum error of 7.46 % and RMSE of 5.39 %. The proposed LP EGR rate model was suitable to be used as a virtual sensor for the fault management system since the LP EGR fault was defined as an error of more than 5 % from the set-point. The fault diagnosis algorithm determines an LP EGR fault state through a residual generation and its evaluation. Based on the fault state, the fault tolerant control determines whether or not to generate the offset of the exhaust throttle valve position. This offset combines with the LUT based feedforward controller to control an LP EGR rate. As a result of real-time verification of the fault management system in the fault condition, the RMSE between the set-point and measured LP EGR rate was within 1.5 % and the NOx emission also decreased by up to about 15 %.
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Prostaglandin E2를 이용한 과민성 방광 유발 흰쥐에서 비마취하 요역동학 검사를 통한 Propiverine이 배뇨에 미치는 영향
오준형 인하대학교 대학원 일반대학원 2009 국내석사
목적: 항콜린성 제제는 과민성 방광의 일차치료제로서, 작용이 저장시기 뿐만 아니라 배뇨시기에도 경쟁적인 길항작용을 할 수 있기 때문에, 배뇨시에 배뇨근 수축을 억제하여 배뇨를 위해 더 많은 복압이 필요할 가능성이 있다. 흰쥐에서 과민성 방광을 유발한 후 Propiverine을 주입하여 배뇨 시 실제로 복압을 증가시키는지를 관찰하였다. 대상 및 방법: Sprague Dawley 쥐 24마리에서 비마취하 요역동학 검사를 시행하였다. 무작위로 4군으로 나누어, 한군은 propiverine 1mg/kg만을 i.v.로, 나머지 세군은 모두 PGE2 50uM를 방광내에 주입하면서, i.v. 로 saline only (n=6), propiverine 1mg/kg (n=4), 3mg/kg (n=6)를 주어 약물주입 전후의 압력 및 용적 변수, 배뇨근 과활동성 변수의 변화를 관찰하였다. 결과: 과민성 방광 쥐는 대조군에 비해 배뇨근압과 방광내압의 증가는 있었으나 복압의 증가는 보이지 않았다. 과민성 방광 쥐에 propiverine 1mg/kg를 주었을 때 PGE2를 준 군에 비해 의미 있는 증가한 소견은 보이지 않았다. Propiverine 3mg/kg을 사용한 군에서 복강 내 압력 중 임계압은 대조군과 과민성 방광쥐 두 군에 비해 모두 의미 있게 증가하였다. 배뇨근 과활동성의 지표에 있어서 과민성 방광쥐에 propiverine 1mg/kg를 주었을 때, 배뇨근 과활동성의 출현 개수 및 출현 빈도는 감소하였으나 통계적 유의성은 없었다. 그러나 propiverine 3mg/kg을 준 군에서는 출현 개수 와 출현 빈도 모두 과민성 방광쥐에 비해 의미 있게 감소한 소견을 보였다. 결론: 비마취하 요역동학 검사결과 정상 쥐는 propiverine을 주었을 때 배뇨 시 복압의 증가나 배뇨근 과활동성의 변화를 보이지는 않았다. 그러나 과민성 방광 모델에서 propiverine 주입 시 그 사용량에 따라 배뇨근 과 활동성의 빈도를 줄일 수 있고, 복압의 증가를 일으킬 수 있다. 이러한 결과는 실제 임상에서 환자들이 호소하는 급성요폐, 복압배뇨등의 항콜린성 제제의 부작용을 연구하는 하나의 실험적 근거가 될 수 있을 것이라 생각된다.
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Data de-identification framework
오준형 Graduate School of Cybersecurity, Korea University 2021 국내박사
As the technology level is advanced, the amount of information used is increasing. Each company learns big data and provides customized services to consumers. Accordingly, collecting and analyzing data subject data has become one of the core competencies of companies. However, when collecting and using data subject information, the authority of the data subject may be violated. Data by itself is often identifiable, and even if it cannot be personal information that infringes on an individual's authority, the moment they are connected, it becomes important, sensitive, or personal information that you never thought of. Therefore, recent trends in privacy regulation such as GDPR are changing toward more and more guaranteeing the rights of data subjects. In order to use data effectively without infringing on the rights of the data subject, the concept of de-identification was created. Researchers and companies can lower the identification of personal information through appropriate de-identification / pseudonymization and use the data for research and statistical purposes. De-identification / pseudonymization techniques have been studied a lot, but it is difficult for companies and researchers to know how and how specifically to identify data / pseudonymization. This is because the organization of knowledge is not properly organized. And it is difficult to clearly understand how and to what extent each organization should take de-identification measures, and how it will affect them. Currently, each organization does not systematically analyze and conduct the situation, but is taking minimal action while looking at the guidelines distributed by each country. We solved this problem from the perspective of risk management. Several steps are required from securing the dataset and starting from pre-processing until the dataset is released. We can analyze the dataset, analyze the risk, evaluate the risk, and treat the risk appropriately. When analyzing a dataset, it includes classifying identifiers and selecting sensitive attributes from various viewpoints such as cultural, historical, and context. When analyzing risk, it can be analyzed based on scenarios, and various re-identification cases that have existed can be organized and analyzed by reference. In addition, risk can be analyzed by quantifying the vulnerability of each threat. We can analyze the risk and assess the risk through a cost benefit study or adequacy evaluation. The outcomes of each step can then be used to take appropriate action on the dataset to eliminate or reduce the risk. Then, you can release the dataset according to your purpose. These series of processes were reconstructed according to the current situation by analyzing various standards such as ISO/IEC 20889, NIST IR 8053, NIST SP 800-188, and ITU-T X.1148. Then, we propose an integrated framework based on situational awareness model and risk management model.
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