scholarly journals NA‐Reviewer: Reviewing the context to improve the error accumulation issue for multi‐hop QA

2021 ◽  
Author(s):  
Ruiliu Fu ◽  
Han Wang ◽  
Jun Zhou ◽  
Xuejun Zhang
Keyword(s):  
Error Accumulation

Path integration is not always limited by error accumulation

2006 ◽  
Author(s):  
Xiaoang Irene Wan ◽  
Ranxiao Frances Wang ◽  
James A. Crowell
Keyword(s):  
Path Integration ◽  
Error Accumulation

scholarly journals A Low-Cost MEMS Missile-Borne Compound Rotation Modulation Scheme

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4910
Author(s):  
Xiaoqiao Yuan ◽  
Jie Li ◽  
Xi Zhang ◽  
Kaiqiang Feng ◽  
Xiaokai Wei ◽  
...  
Keyword(s):  
Rotation Axis ◽  
Low Cost ◽  
Roll Angle ◽  
Modulation Scheme ◽  
Navigation Systems ◽  
Rotation Scheme ◽  
Compound Rotation ◽  
Error Accumulation ◽  
Axis Rotation ◽  
Single Axis Rotation

Rotation modulation (RM) has been widely used in navigation systems to significantly improve the navigation accuracy of inertial navigation systems (INSs). However, the traditional single-axis rotation modulation cannot achieve the modulation of all the constant errors in the three directions; thus, it is not suitable for application in highly dynamic environments due to requirements for high precision in missiles. Aiming at the problems of error accumulation and divergence in the direction of rotation axis existing in the traditional single-axis rotation modulation, a novel rotation scheme is proposed. Firstly, the error propagation principle of the new rotation modulation scheme is analyzed. Secondly, the condition of realizing the error modulation with constant error is discussed. Finally, the original rotation modulation navigation algorithm is optimized for the new rotation modulation scheme. The experiment and simulation results show that the new rotation scheme can effectively modulate the error divergence of roll angle and improve the accuracy of roll angle by two orders of magnitude.

Long-offset moveout for VTI using Padé approximation

Geophysics ◽  
2016 ◽  
Vol 81 (5) ◽  
pp. C219-C227 ◽  
Author(s):  
Hanjie Song ◽  
Yingjie Gao ◽  
Jinhai Zhang ◽  
Zhenxing Yao
Keyword(s):  
Padé Approximation ◽  
Pade Approximation ◽  
Practical Applications ◽  
Long Offset ◽  
Wide Range ◽  
Isotropic Media ◽  
Transversally Isotropic ◽  
Error Accumulation ◽  
Anisotropy Parameters ◽  
Vti Media

The approximation of normal moveout is essential for estimating the anisotropy parameters of the transversally isotropic media with vertical symmetry axis (VTI). We have approximated the long-offset moveout using the Padé approximation based on the higher order Taylor series coefficients for VTI media. For a given anellipticity parameter, we have the best accuracy when the numerator is one order higher than the denominator (i.e., [[Formula: see text]]); thus, we suggest using [4/3] and [7/6] orders for practical applications. A [7/6] Padé approximation can handle a much larger offset and stronger anellipticity parameter. We have further compared the relative traveltime errors between the Padé approximation and several approximations. Our method shows great superiority to most existing methods over a wide range of offset (normalized offset up to 2 or offset-to-depth ratio up to 4) and anellipticity parameter (0–0.5). The Padé approximation provides us with an attractive high-accuracy scheme with an error that is negligible within its convergence domain. This is important for reducing the error accumulation especially for deeper substructures.

Reducing Cumulative Errors of Incremental CP Decomposition in Dynamic Online Social Networks

2021 ◽  
Vol 15 (3) ◽  
pp. 1-33
Author(s):  
Jingjing Wang ◽  
Wenjun Jiang ◽  
Kenli Li ◽  
Keqin Li
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Prediction Error ◽  
High Efficiency ◽  
Optimization Problems ◽  
Online Social Network ◽  
Reconstruction Error ◽  
Incremental Updating ◽  
Cp Decomposition ◽  
Error Accumulation

CANDECOMP/PARAFAC (CP) decomposition is widely used in various online social network (OSN) applications. However, it is inefficient when dealing with massive and incremental data. Some incremental CP decomposition (ICP) methods have been proposed to improve the efficiency and process evolving data, by updating decomposition results according to the newly added data. The ICP methods are efficient, but inaccurate because of serious error accumulation caused by approximation in the incremental updating. To promote the wide use of ICP, we strive to reduce its cumulative errors while keeping high efficiency. We first differentiate all possible errors in ICP into two types: the cumulative reconstruction error and the prediction error. Next, we formulate two optimization problems for reducing the two errors. Then, we propose several restarting strategies to address the two problems. Finally, we test the effectiveness in three typical dynamic OSN applications. To the best of our knowledge, this is the first work on reducing the cumulative errors of the ICP methods in dynamic OSNs.

Bias-error Accumulation Analysis for Inertial Navigation Methods

2021 ◽  
pp. 1-1
Author(s):  
Xinyu Liu ◽  
Qingfeng Zhou ◽  
Xiang Chen ◽  
Lisheng Fan ◽  
Chi-Tsun Cheng
Keyword(s):  
Inertial Navigation ◽  
Bias Error ◽  
Error Accumulation

scholarly journals AN INDOOR SLAM METHOD BASED ON KINECT AND MULTI-FEATURE EXTENDED INFORMATION FILTER

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 327-332
Author(s):  
M. Chang ◽  
Z. Kang
Keyword(s):  
Point Cloud ◽  
Information Matrix ◽  
Depth Image ◽  
Point Cloud Data ◽  
A Posteriori ◽  
Cloud Data ◽  
Information Filter ◽  
Error Accumulation ◽  
Priori Information ◽  
Information Vector

Based on the frame of ORB-SLAM in this paper the transformation parameters between adjacent Kinect image frames are computed using ORB keypoints, from which priori information matrix and information vector are calculated. The motion update of multi-feature extended information filter is then realized. According to the point cloud data formed by depth image, ICP algorithm was used to extract the point features of the point cloud data in the scene and built an observation model while calculating a-posteriori information matrix and information vector, and weakening the influences caused by the error accumulation in the positioning process. Furthermore, this paper applied ORB-SLAM frame to realize autonomous positioning in real time in interior unknown environment. In the end, Lidar was used to get data in the scene in order to estimate positioning accuracy put forward in this paper.

scholarly journals An Algorithm of Automatic Administrative Region Index Map Generation for National-level Map Production

2019 ◽  
Vol 2 ◽  
pp. 1-4
Author(s):  
Ruolei Wang ◽  
Jianjun Liu ◽  
Zhao Li ◽  
Jun Zhang
Keyword(s):  
National Level ◽  
Production Lines ◽  
Recognition Error ◽  
Multi Scale ◽  
Administrative Region ◽  
Database Construction ◽  
Map Generation ◽  
Error Accumulation ◽  
Dynamic Updating ◽  
Information Database

<p><strong>Abstract.</strong> Since the project of dynamic updating of national fundamental geographic information database was launched, National Geomatics Center of China has published the newest version of multi-scale databases, derived databases and subdivision maps once a year. As one of the derived cartographic databases, administrative region index database allows users to find maps covering their regions of interest quickly by input the name or number of the relevant map. Due to the boundaries or attributes of some administrative regions may often change, updating of administrative region index database is necessary. To improve efficiency and quality in the national-level map production and database construction, an algorithm of administrative region index map automatic generalization has been proposed in this paper to replace the traditional manual production lines, which are time-consuming and uncontrollable in quality. The method goes in depth with handling coordinate recognition error accumulation and residue lines caused by the clip.</p>

SOC Estimation of Power Battery in Electric Vehicle Based on MC9S12DG128

2013 ◽  
Vol 318 ◽  
pp. 167-170
Author(s):  
Wen Li Xu ◽  
Ji Ming Lyu ◽  
Hong Hui Zhao ◽  
Zhi Yu Lan
Keyword(s):  
Equivalent Circuit Model ◽  
State Of Charge ◽  
Hardware In The Loop ◽  
Test Results ◽  
Single Chip ◽  
Single Chip Microcomputer ◽  
Hardware Platform ◽  
Soc Estimation ◽  
Power Battery ◽  
Error Accumulation

This paper explored how to make use of extended Kalman filter (EKF) technique to estimate the state of charge (SOC) of battery. Based on the equivalent circuit model of battery, a mathematical model of EKF was established, and an EKF algorithm of SOC estimation was presented. By single chip microcomputer (MCU) of MC9S12DG128, a hardware platform for experimenting with this algorithm was built up. Then this algorithm was verified by two kinds of discharge tests on the hardware in the loop platform. The test results show that this algorithm is able to satisfy the requirement of SOC estimation. It has a high accuracy, and a low error accumulation.

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