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사료용 옥수수 연구 N. 조사료용 CNU 육성 교잡종 옥수수의 수량관련 주요특성
이희봉,정재영,김용일,박보영,지희정,문현귀 충남대학교 농업과학연구소 2006 농업과학연구 Vol.33 No.1
This study was carried out to compare a yield performance about CNU maize hybrids developed at the Maize Genetics and Breeding Lab, in Chungnam National University. Among the hybrids incorporated in the test, CNU 3 and 1 showed higher dry matter per 10a and lower kernel yield per 10a than check hybrid, Kwanganok. Hongchon 5 and Suwon169 showed higher kernel yield than Kwanganok. The average yield of CNU 3 hybrid in dry matter and CNU 4 in kernel yield were 2,106kg/10a and 854kg/10a in regional adaptability test, which were increased 33% and 8% compared with a check hybrid, respectively. Also, these hybrids had better stay green characteristics than check hybrid and showed moderately resistance to corn borer and leaf spot.
Lee, Junhak,Kim, Heyone,Oh, Sang Heon,Do, Jae Chul,Nam, Chang Woo,Hwang, Dong-Hwan,Lee, Sang Jeong The Institute of Positioning 2018 Journal of Positioning, Navigation, and Timing Vol.7 No.2
Conventional inertial measurement units cannot be used in the spinning vehicle with high rotation rate due to gyro's narrow operation range. By the way, angular acceleration can be measured using the accelerometer array distributed in the vehicle. This paper derives a mechanization for the gyro-free INS in the navigation frame, and proposes a gyro-free INS algorithm based on the derived mechanization. In addition, the proposed algorithm is used to estimate angular velocity, attitude, velocity, and position of a spinning vehicle with high rotation rate. A MATLAB-based software platform is configured in order to show validation of the proposed algorithm. The reference trajectory of a spinning vehicle at 3 round per second, 30 round per second are set up, and the outputs of accelerometer are generated when triads of accelerometer are located at the origin and all the axes. Navigation results of the proposed algorithm for the generated output are presented. The results show that the proposed navigation algorithm can be applied to the spinning vehicle with high rotation rate.
Extended Kalman Filter Based GF-INS Angular Velocity Estimation Algorithm
Kim, Heyone,Lee, Junhak,Oh, Sang Heon,Hwang, Dong-Hwan,Lee, Sang Jeong The Institute of Positioning 2019 Journal of Positioning, Navigation, and Timing Vol.8 No.3
When a vehicle moves with a high rotation rate, it is not easy to measure the angular velocity using an off-the-shelf gyroscope. If the angular velocity is estimated using the extended Kalman filter in the gyro-free inertial navigation system, the effect of the accelerometer error and initial angular velocity error can be reduced. In this paper, in order to improve the navigation performance of the gyro-free inertial navigation system, an angular velocity estimation method is proposed based on an extended Kalman filter with an accelerometer random bias error model. In order to show the validity of the proposed estimation method, angular velocities and navigation outputs of a vehicle with 3 rev/s rotation rate are estimated. The results are compared with estimates by other methods such as the integration and an extended Kalman filter without an accelerometer random bias error model. The proposed method gives better estimation results than other methods.
항법전 대응을 위한 다중전파측위융복합 시스템 M&S 소프트웨어의 항법환경생성 모듈 설계
김혜원(Heyone Kim),이준학(Junhak Lee),유원재(Won Jae Yoo),오상헌(Sang Heon Oh),이형근(Hyung Keun Lee),소형민(Hyoungmin So),황동환(Dong-Hwan Hwang) 대한전자공학회 2018 대한전자공학회 학술대회 Vol.2018 No.6
In this paper, a navigation environment generation module design method of a multi-radio integrated navigation system M&S software is proposed for countermeasure to navigation warfare. In the proposed design method, measurements of navigation systems are generated and errors caused by jamming attack are added to the measurements. The proposed method is verified by implementing the navigation environment generation module in the M&S software. The errors by jamming attack are observed in the measurements result of the M&S software.
GR-INS 에서 칼만필터의 차수에 따른 회전 항체의 각속도 추정 성능 비교
이준학(Junhak Lee),김혜원(Heyone Kim),오상헌(Sang Heon Oh),도재철(Jae Chul Do),남창우(Chang Woo Nam),황동환(Dong-Hwan Hwang),이상정(Sang Jeong Lee) 제어로봇시스템학회 2018 제어·로봇·시스템학회 논문지 Vol.24 No.10
In this paper, angular velocity estimation performances of the GR-INS are compared according to the order of the extended Kalman filter. The case in which one axis cannot be measured by a gyroscope and two axes can be measured by gyroscopes is investigated. One triad is placed at the center of gravity and three at axes. Two gyroscopes are placed at the axes where angular velocity can be measured. Mechanization of the GR-INS is derived for the arrangement of accelerometers and gyroscopes. Outputs of MEMS accelerometers and MEMS gyroscopes are generated for the trajectory of the vehicle, which rotates 30 times per second. From the outputs, angular velocity is estimated using an extended Kalman filter for the two cases. In the first case, the extended Kalman filter only estimates an angular velocity of the spinning axis of the vehicle. In the other case, the extended Kalman filter estimates the angular velocities of the three axes of the vehicle. Angular velocity estimation performances of the two cases are compared. The result shows that the angular velocity estimation performance is better when the extended Kalman filter estimates the angular velocities of the three axes. It can be seen from the result that the performance of the GR-INS can be improved by using a Kalman filter with higher order.
가속도계 배열과 항체의 운동에 따른 GF-INS 의 각속도 추정 성능 비교
이준학(Junhak Lee),김혜원(Heyone Kim),오상헌(Sang Heon Oh),도재철(Jae Chul Do),남창우(Chang Woo Nam),황동환(Dong-Hwan Hwang),이상정(Sang Jeong Lee) 제어로봇시스템학회 2018 제어·로봇·시스템학회 논문지 Vol.24 No.8
Although the angular velocity of a spinning vehicle with a high rotation rate cannot be measured by conventional gyroscopes, the angular velocity of the vehicle can be obtained from a distributed array of accelerometers in the vehicle. In this paper, the angular velocity estimation performance of the GF-INS is examined according to the accelerometer arrangement and vehicle motion. The DOPs between accelerometer measurements and angular-velocity estimates are compared for two cases of accelerometer arrays. In the first case, three accelerometers are placed at the center of gravity and six accelerometers are placed at the center of the face of a cube. In the other case, four accelerometer triads are placed at the center of gravity and three axes. The accelerometers’ outputs are generated for the trajectory of the vehicle, which rotates three times per second and 30 times per second. The angular velocity is estimated from these outputs by using an extended Kalman filter. The variances of the estimation error for the two array cases are compared. The results show that the angular-velocity estimation performance is better when the DOP is small and the rotation rate is large. Additionally, the performance of the GF-INS can be improved by selecting a suitable accelerometer array for the dynamic characteristics of the vehicle.