SINS In-Motion Alignment for Initial Attitude Uncertainty

2015 ◽  
Author(s):  
Nie Qi ◽  
Zhao Pengfei
Keyword(s):  
Initial Attitude ◽  
Attitude Uncertainty

The history of a “primary source”: The making of Tûghî's chronicle on the regicide of Osman II

2009 ◽  
Vol 72 (1) ◽  
pp. 41-62
Author(s):  
Baki Tezcan
Keyword(s):  
Seventeenth Century ◽  
Primary Source ◽  
Collective Responsibility ◽  
Careful Examination ◽  
Political Sophistication ◽  
History Of ◽  
Initial Attitude ◽  
Historical Developments ◽  
The Military ◽  
The Way

AbstractA short chronicle by a former janissary called Tûghî on the regicide of the Ottoman Sultan Osman II in 1622 had a definitive impact on seventeenth-century Ottoman historiography in terms of the way in which this regicide was recounted. This study examines the formation of Tûghî's chronicle and shows how within the course of the year following the regicide, Tûghî's initial attitude, which recognized the collective responsibility of the military caste (kul) in the murder of Osman, evolved into a claim of their innocence. The chronicle of Tûghî is extant in successive editions of his own. A careful examination of these editions makes it possible to follow the evolution of Tûghî's narrative on the regicide in response to the historical developments in its immediate aftermath and thus witness both the evolution of a “primary source” and the gradual political sophistication of a janissary.

scholarly journals Application of Federal Kalman Filter with Neural Networks in the Velocity and Attitude Matching of Transfer Alignment

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Lijun Song ◽  
Zhongxing Duan ◽  
Bo He ◽  
Zhe Li
Keyword(s):  
Neural Networks ◽  
Kalman Filter ◽  
Navigation System ◽  
Inertial Navigation System ◽  
Estimation Error ◽  
Inertial Navigation ◽  
Transfer Alignment ◽  
The Neural Networks ◽  
Initial Attitude ◽  
Noise Statistics

The centralized Kalman filter is always applied in the velocity and attitude matching of Transfer Alignment (TA). But the centralized Kalman has many disadvantages, such as large amount of calculation, poor real-time performance, and low reliability. In the paper, the federal Kalman filter (FKF) based on neural networks is used in the velocity and attitude matching of TA, the Kalman filter is adjusted by the neural networks in the two subfilters, the federal filter is used to fuse the information of the two subfilters, and the global suboptimal state estimation is obtained. The result of simulation shows that the federal Kalman filter based on neural networks is better in estimating the initial attitude misalignment angle of inertial navigation system (INS) when the system dynamic model and noise statistics characteristics of inertial navigation system are unclear, and the estimation error is smaller and the accuracy is higher.

scholarly journals Development of Skill Assessment Instrument Service Volly 6th Grade in Physical Education

2019 ◽  
Vol 2 (4) ◽  
pp. 634-641
Author(s):  
Moh. Noer ◽  
Ali Maksum ◽  
Anung Priambodo
Keyword(s):  
Large Scale ◽  
Assessment Tools ◽  
Assessment Instrument ◽  
Skill Assessment ◽  
Small Scale ◽  
Service Reliability ◽  
School Students ◽  
Assessment Guidelines ◽  
Initial Attitude

This research aims to develop instruments for assessing lower and upper service engineering skills in volleyball games for 6th-grade students in elementary schools. This research uses research and development methods, with the following development steps: (1) information gathering in the field, (2) analyze the information collected, (3) developing initial products, (4) expert validation and revision, (5) small-scale trials and revisions, (6) large-scale trials and revisions, (7) manufacturing of final products. The subject of this research is 6th-grade students of elementary students. Data analysis for the validity test was carried out with CVR (content validity ratio) and reliability using Alpha Cronbach. This research resulted in a handbook of instrument assessment tools for service techniques of lower and upper service in volleyball games for 6th-grade elementary school students, which contained instructions for use, student assignments sheets, assessment guidelines, assessment rubrics, and scoring tables, which have high validity. (1) And under service reliability initial attitude: r = 0.975, implementation: r = 0.961, follow-up motion: r = 0, 955. Upper Service for initial attitude: r = 0.961, implementation: r = 0.974, follow-up motion: r = 0.989.

scholarly journals VALIDATION OF LIDAR SURVEY DATA BY COMPARISON OF SEVERAL UNCERTAINTY MODELS

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 1385-1390
Author(s):  
N. Seube
Keyword(s):  
Point Cloud ◽  
A Priori ◽  
A Posteriori ◽  
Data Set ◽  
Timing Errors ◽  
Beam Incidence ◽  
A Priori Uncertainty ◽  
Uncertainty Models ◽  
Attitude Uncertainty ◽  
The Relationship

Abstract. This paper introduce a new method for validating the precision of an airborne or a mobile LiDAR data set. The proposed method is based on the knowledge of an a Combined Standard Measurement Uncertainty (CSMU) model which describes LiDAR point covariance matrix and thus uncertainty ellipsoid. The model we consider includes timing errors and most importantly the incidence of the LiDAR beam. After describing the relationship between the beam incidence and other variable uncertainty (especially attitude uncertainty), we show that we can construct a CSMU model giving the covariance of each oint as a function of the relative geometry between the LiDAR beam and the point normal. The validation method we propose consist in comparing the CSMU model (predictive a priori uncertainty) t the Standard Deviation Alog the Surface Normal (SDASN), for all set of quasi planr segments of the point cloud. Whenever the a posteriori (i.e; observed by the SDASN) level of uncertainty is greater than a priori (i.e; expected) level of uncertainty, the point fails the validation test. We illustrate this approach on a dataset acquired by a Microdrones mdLiDAR1000 system.

Interlaced Attitude Estimation for Spacecraft Using Vector Observations

2021 ◽  
Vol 01 (03) ◽  
Author(s):  
Lubin Chang
Keyword(s):  
Prior Information ◽  
State Of The Art ◽  
Estimation Method ◽  
Attitude Estimation ◽  
The Body ◽  
Body Frame ◽  
Initial Value ◽  
Initial State ◽  
Initial Errors ◽  
Initial Attitude

This paper proposes an interlaced attitude estimation method for spacecraft using vector observations, which can simultaneously estimate the constant attitude at the very start and the attitude of the body frame relative to its initial state. The arbitrary initial attitude, described by constant attitude at the very start, is determined using quaternion estimator which requires no prior information. The multiplicative extended Kalman filter (EKF) is competent for estimating the attitude of the body frame relative to its initial state since the initial value of this attitude is exactly known. The simulation results show that the proposed algorithms could achieve better performance compared with the state-of-the-art algorithms even with extreme large initial errors. Meanwhile, the computational burden is also much less than that of the advanced nonlinear attitude estimators.

About the Efficient Scheme of Initial Attitude Estimation Using Low Accuracy Micro-Electro-Mechanical Sensors

2019 ◽  
Vol 62 (3) ◽  
pp. 387-393
Author(s):  
T. Yu. Gainutdinova ◽  
A. V. Gainutdinova ◽  
V. G. Gainutdinov
Keyword(s):  
Attitude Estimation ◽  
Efficient Scheme ◽  
Initial Attitude ◽  
Mechanical Sensors

Method of large acceleration change for in-flight alignment of projectiles based on double-vector observations

2018 ◽  
Vol 41 (10) ◽  
pp. 2782-2788
Author(s):  
Yun Xu ◽  
Zhen Hong ◽  
Yan Su ◽  
Xin-hua Zhu
Keyword(s):  
Error Analysis ◽  
Rate Equation ◽  
Simulation Experiment ◽  
Attitude Estimation ◽  
Flight Time ◽  
Initial Attitude ◽  
Misalignment Error ◽  
Short Flight

Aiming at the problem that the purposive maneuver of the guided projectile is difficult to be realized during its short flight time, a method based on large acceleration change using double-vector observations for the in-flight alignment was proposed. First, according to the navigation velocity rate equation, double-vector observations were derived, and the Request algorithm was introduced for the initial attitude estimation. Then, error analysis was discussed, which puts forward a large acceleration change for the in-flight alignment. Simulation experiment analyzed and discussed the effectiveness of the proposed large acceleration change for the in-flight alignment. The simulation result indicated that the in-flight alignment can be achieved quickly, and the heading misalignment error is about 0.3°, the pitch and rolling misalignment errors are less than 0.2°.

Persuasion and Emotional Response: A Cross-Cultural Study

1965 ◽  
Vol 16 (2) ◽  
pp. 503-510 ◽  
Author(s):  
Elliott McGinnies ◽  
Hitoshi Aiba
Keyword(s):  
University Students ◽  
Attitude Change ◽  
Emotional Response ◽  
Cross Cultural ◽  
Japanese University ◽  
Persuasive Communications ◽  
Cross Cultural Study ◽  
Skin Responses ◽  
Initial Attitude ◽  
Galvanic Skin Responses

In this experiment we exposed small groups of Japanese university students to persuasive communications dealing with the Cuban situation, recorded galvanic skin responses while they listened to the arguments and measured their attitudes after exposure to each of the communications. The data were examined for relationships between initial attitude, emotional response to persuasion, and attitude change. This study was part of a larger program of experiments designed to determine the responses of Japanese university students to persuasive communications under varying conditions of exposure.

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