• Parasites, Hosts and Diseases
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• 제32권4호
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• pp.243-248
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• 1994

질편모충 항원 분석의 일환으로 막항원의 분석을 시도하였다 수확 세척된 질편모충 HY-l의 homogenate를 sucrose step-gradient를 이용하여 differential centrifugation하였으며 25%/45%의 sucrose 경계면으로녁터 막분회을 얻었다. 분리된 막분회은 transmission electron microscopy를 통하여 순수 분리되었는지 확인하였고 효소면역 전기영동 이적법(EITB)을 이용하여 항원성을 관찰하였으며 그 결과는 다음과 같았다. 분리된 막분획은 투과전자 현미경상에서 extended sheet나 concentric vesicle의 형태가 거의 균질하게 분포하고 있었으며 막 분획에서 특징적으로 나타나는 trilaminal appearance를 보여 질편모충의 막분획이 순수 분리된 것으로 간주할 수 있었다. 분리된 막분획은 EITB상에 토끼의 항혈청과 반응하였을 때 46, 60, 110, 120, 130 및 150 kfDa에서 항원성이 있는 반응대가 관찰되었으며 N-hydroxysuccinimido-biotic으로 표지하여 분리된 표면항원의 녁획과 비교하였을 때 60 KDa의 항원 분획이 서로 일치하는 것으로 나타났다. 따라서 60 kfDa 의 항원 분획은 료면 항원임을 확신할 수 있었다.

• 한국해양공학회지
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• 제31권1호
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• pp.28-35
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• 2017

This paper introduces a GPS-aided dead reckoning algorithm that asymptotically estimates the heading bias error of a magnetic compass based on geodetic north, improves the position error accumulated by dead reckoning, and helps the estimated position of an AUV to represent a position in the NED coordinate system, by receiving GPS position information when surfaced. Based on the results of a simulation, the locational error was bounded with a modest distance, after estimating the AUV position and heading bias error of the magnetic compass when surfaced. In other words, it was verified that proposed algorithm improves the position error in the NED coordinate system.

• Smart Structures and Systems
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• 제24권6호
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• pp.693-707
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• 2019

This paper proposes an integrated safety assessment method that can take multiple sources data into consideration based on a data fusion approach. Data cleaning using the Kalman filter method (KF) was conducted first for monitoring data from each sensor. The inclination data from the four tilt sensors of the same monitoring section have been associated to synchronize in time. Secondly, the finite element method (FEM) model was established to physically correlate the external forces with various structural responses of the shield tunnel, including the measured inclination. Response surface method (RSM) was adopted to express the relationship between external forces and the structural responses. Then, the external forces were updated based on the in situ monitoring data from tilt sensors using the extended Kalman filter method (EKF). Finally, mechanics parameters of the tunnel lining were estimated based on the updated data to make an integrated safety assessment. An application example of the proposed method was presented for an urban tunnel during a nearby deep excavation with multiple source monitoring plans. The change of tunnel convergence, bolt stress and segment internal forces can also be calculated based on the real time deformation monitoring of the shield tunnel. The proposed method was verified by predicting the data using the other three sensors in the same section. The correlation among different monitoring data has been discussed before the conclusion was drawn.

• Journal of Positioning, Navigation, and Timing
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• 제6권3호
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• pp.105-116
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• 2017

Several wireless localization algorithms are evaluated for the IR-UWB-based indoor location with the assumption that the ranging measurements contain the channelwise Non-Calibration Error (NCE). The localization algorithms can be divided into the Model-free Localization (MfL) methods and Model-based Kalman Filtering (MbKF). The algorithms covered in this paper include Iterative Least Squares (ILS), Direct Solution (DS), Difference of Squared Ranging Measurements (DSRM), and ILS-Common (ILS-C) methods for the MfL methods, and Extended Kalman Filter (EKF), EKF-Each Channel (EKF-EC), EKF-C, Cubature Kalman Filter (CKF), and CKF-C for the MbKF. Experimental results show that the DSRM method has better accuracy than the other MfL methods. Also, it demands smallest computation time. On the other hand, the EKF-C and CKF-C require some more computation time than the DSRM method. The accuracy of the EKF-C and CKF-C is, however, best among the 9 methods. When comparing the EKF-C and CKF-C, the CKF-C can be easily used. Finally, it is concluded that the CKF-C can be widely used because of its ease of use as well as it accuracy.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2013년도 춘계학술대회
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• pp.911-913
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• 2013

사용자의 행동 추론에서는 수신된 센서 데이터의 신뢰성이 중요하다. 하지만 외 내부 환경, 온도, 진동 등에 따라 센서의 측정값이 달라진다. 이러한 잡음 환경은 센서로부터 수집되는 정보의 신뢰성에 영향을 준다. 때문에 잡음을 감소시키고 사용자의 행동을 추론하는 디지털 필터와 추론 알고리즘이 요구된다. 본 연구는 사용자 행동의 잡음 제거, 왜곡 방지로 칼만 필터와 지수 가중이동 평균 필터의 비교실험을 하였다. 또한 본 제안된 확장가중 이중필터 법과 비교하였다. 결과적으로 제안된 필터가 다른 필터에 비해 잡음 환경에 견고하였다.

• Advances in aircraft and spacecraft science
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• 제7권6호
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• pp.495-516
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• 2020

Nonlinear state estimation is a desirable and required technique for many situations in engineering (e.g., aircraft/spacecraft tracking, space situational awareness, collision warning, radar tracking, etc.). Due to high standards on performance in these applications, in the last few decades, there was an increasing demand for methods that are able to provide more accurate results. However, because of the mathematical complexity introduced by the nonlinearities of the models, the nonlinear state estimation uses techniques that, in practice, are not so well-established which, leads to sub-optimal results. It is important to take into account that each method will have advantages and limitations when facing specific environments. The main objective of this paper is to provide a comprehensive overview and interpretation of the most well-known methods for nonlinear state estimation with Gaussian priors. In particular, the Kalman filtering methods: EKF (Extended Kalman Filter), UKF (Unscented Kalman Filter), CKF (Cubature Kalman Filter) and EnKF (Ensemble Kalman Filter) with an aerospace perspective.

• 한국의류산업학회지
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• 제25권1호
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• pp.82-91
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• 2023

The children who are part of this study are compelled to wear masks at educational facilities for an extended period of time as they continue to be exposed to Asian dust, fine dust, and COVID-19. However, use of masks is currently causing them a lot of inconvenience. This study aimed to gather basic data for the development of a mask that is suitable and comfortable for children to wear. A total of 331 children aged 1 to 9 were investigated through their parents in terms of their lifestyle, mask wearing and purchasing status, mask preferences, mask inconvenience, and mask improvement. According to the survey on mask use, the proportion of children aged 1-3 years old and wearing ultra-small/XS masks, 4-6 year olds wearing small/S, and 7-9 year olds wearing small/S was the highest. More than 80% of children were wearing masks with a standard filter of KF80 or higher. The purchase criteria for children's masks were found to be excellent in terms of wearing comfort and meeting the filter standards. According to the survey on inconvenience of wearing masks, the majority of those surveyed expressed the need to develop children's masks of different sizes. Furthermore, they experienced various kinds of inconveniences from adult masks, such as the material quality and length of earring bands; it was deduced that these aspects need to be taken care of. The vertical folding type was the most popular in the mask design for children. Children have to wear masks for a prolonged period of time, but they are experiencing lot of inconvenience, which need to be addressed.