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Calibration Method for INS Based on Multiple Actuator Function
Yeong-Bin Seo,Haesung Yu,Myeong-Jong Yu 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.1
This paper presents a calibration method based on a multiple actuator function (MAF) to improve the navigation performance of the inertial navigation system (INS). The navigation performance of the INS can be improved by utilizing a compensation function. Existing calibration methods model the compensation function based on calibration coefficients obtained by indirect calibration. In indirect calibration, the calibration coefficients are calculated using acceleration errors. However, errors such as random walks, white noise, and bias instability can affect the precision of the calculated calibration coefficients. These errors can degrade the accuracy of the calibration coefficients and the compensation function. To overcome these limitations, the proposed method models a compensation function based on the MAF. The accuracy of the compensation function is improved by the accurate actuator angle and actuator position of the MAF. Unlike indirect calibration, the precision of the MAF is improved exclusively by navigation performance. The accurate actuator angle is calculated by adopting gradient descent and Q-learning, and the accurate actuator position is calculated by adopting the Bhattacharyya coefficient. The accuracy and precision of the proposed calibration method is evaluated by static-state tests and vehicle tests. The results show that the proposed calibration method is a valid approach to improve the navigation performance of the INS.
Yeong-Bin Seo,Haesung Yu,Myeong-Jong, Yu,Sang Jeong Lee 제어로봇시스템학회 2018 제어로봇시스템학회 국제학술대회 논문집 Vol.2018 No.10
In this paper, a new compensation method for hysteresis bias error of the ring laser gyroscope (RLG) is proposed. Deep neural networks using temperature and rate of temperature is applied to obtain the RLG bias. In the process of entering the deep neural networks, temperature and rate of temperature are split into several factors for higher accuracy. Through entering these factors to the deep neural networks, more accurate estimation performance is achieved than simply entering the temperature and rate of temperature. The RLG bias estimating performance of deep neural network is evaluated through comparing with various methods – 3rd order function, classic rate of temperature method, and radial basis function network (RBFN). The experimental results show that the proposed compensation method has more precise calibration performance than others.
KIM, YEONG BIN,SEO, HYUN JOO,SEO, KWANG WON,JEON, HYE YOUNG,KIM, DONG KYU,KIM, SHIN WOO,LIM, SUK-KYUNG,LEE, YOUNG JU ational Association for Food Protection 2018 Journal of food protection Vol.81 No.8
<B>ABSTRACT</B><P>Genes encoding ciprofloxacin resistance in enterococci in animals may be transferred to bacteria in the animal gut and to zoonotic bacteria where they could pose a human health hazard. The objective of this study was to characterize antimicrobial resistance in high-level ciprofloxacin-resistant (HLCR) Enterococcus faecalis and Enterococcus faecium isolated from retail chicken meat. A total of 345 enterococci (335 E. faecalis and 10 E. faecium) were isolated from 200 chicken meat samples. Of these, 85 E. faecalis isolates and 1 E. faecium isolate were confirmed as HLCR enterococci. All 86 HLCR enterococci displayed gyrA-parC point mutations consisting of S83I-S80I (94.2%, 81 isolates), S83F-S80I (2.3%, 2 isolates), S83Y-S80I (2.3%, 2 isolates), and S83Y-S80F (1.2%, 1 isolate). Sixty-one (72.9%) of the 86 HLCR enterococci showed multidrug resistance to three to six classes of antimicrobial agents. Multilocus sequence typing revealed that E. faecalis had 17 different sequence types (ST) and E. faecium had 1 different ST, with ST256 observed most often (44 isolates, 51.8%). Although these results cannot exclude the possibility that pathotypes of enterococci isolated from chicken might represent transmission to or from humans, the foodborne HLCR E. faecalis indicated that the food chain is a potential route of enterococcal infection in humans.</P>
Risk mitigation strategy by Passive IN-core Cooling system for advanced nuclear reactors
Seo, Seok Bin,Kim, In Guk,Kim, Kyung Mo,Jeong, Yeong Shin,Bang, In Cheol Elsevier 2018 Annals of nuclear energy Vol.111 No.-
<P><B>Abstract</B></P> <P>After the Fukushima accident, the installation of passive safety systems for nuclear power plants becomes necessary as protection against external power failures. Recently, an innovative safety system was introduced by employing a hybrid heat-pipe concept asa Passive IN-core Cooling system (PINCs). The hybrid heat-pipe concept employs the combination of a control rod and a heat pipe to passively shutdown a reactor in an accident condition and simultaneously remove decay heat from the core. As a result, a PINCs can handle the entire accident sequence in a single system, leading to significant enhancement in nuclear reactor safety. In this study, the safety enhancement of various nuclear reactors has been quantitatively evaluated by using the probabilistic safety assessment method (PSA). PSA models of the APR1400, PGSFR, and SMART nuclear reactors developed in Korea, are developed, and a PINCs model has been applied to each reactor. The PSA model of the PINCs has been developed based on the systematic design and configuration of each reactor. In addition, postulated accident sequences where the PINCs operates have been developed in the PSA model. Finally, the consequence of each accident sequence has been quantitatively evaluated in the form of core damage frequency (CDF) and minimal cut set (MCS) for each nuclear reactor. Based on the PSA results, it is confirmed that the application of the PINCs effectively reduces the overall CDF of all nuclear reactors. In addition, the failure paths causing the core damage are restricted for APR1400 and PGSFR. In conclusion, the employment of the PINCs significantly improved the overall safety degrees of various nuclear reactors.</P> <P><B>Highlights</B></P> <P> <UL> <LI> PINCs combines a control rod and a heat pipe to enhance safety of advanced reactors. </LI> <LI> PSA models of advanced reactors are developed including PINCs. </LI> <LI> The consequences of the accident aided by PINCs are quantitatively evaluated. </LI> <LI> PINCs significantly reduces the overall CDFs of all nuclear reactors. </LI> </UL> </P>