scholarly journals Design of Remote Real-Time Positioning Method for Long-Distance Running under Wireless Network Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Xu Xia
Keyword(s):  
Least Squares ◽  
Real Time ◽  
Partial Least Squares ◽  
Wireless Network ◽  
Least Squares Method ◽  
Network Technology ◽  
Distance Running ◽  
Long Distance ◽  
Time Motion ◽  
Long Distance Running

Aiming at the problems of low precision, long time, and poor effect of current remote real-time motion location methods, a long-distance real-time motion location method based on wireless network technology was proposed. Through the analysis of wireless network technology, the basic structure and positioning technology of wireless sensor networks are studied. In addition, this paper adopts the core matrix Isomap node location algorithm based on partial least squares (PLS). The distance of geodesic between long-distance running nodes is used to characterize the dissimilarity between nodes, and the sample contribution rate of the partial least squares method is used to find and eliminate the phenomenon of short circuits in long-distance running fields. High-dimensional feature interval is mapped by centroid transformation and kernel transformation. The experimental results show that the method can improve the positioning accuracy and shorten the positioning time effectively.

Pacing behaviour of middle-long distance running & race-walking athletes at the IAAF U18 and U20 World Championship finals

2021 ◽  
pp. 1-10
Author(s):  
Stein Gerrit Paul Menting ◽  
Brian Hanley ◽  
Marije Titia Elferink-Gemser ◽  
Florentina Johanna Hettinga
Keyword(s):  
Distance Running ◽  
Long Distance ◽  
World Championship ◽  
Long Distance Running ◽  
Race Walking

Physics of long‐distance running

1985 ◽  
Vol 53 (4) ◽  
pp. 371-373
Author(s):  
J. Strnad
Keyword(s):  
Distance Running ◽  
Long Distance ◽  
Long Distance Running

Real-Time Diagnosis of the Exhaust Recirculation in Diesel Engines Using Least-Squares Parameter Estimation

2009 ◽  
Vol 132 (1) ◽  
Author(s):  
Javad Mohammadpour ◽  
Karolos Grigoriadis ◽  
Matthew Franchek ◽  
Benjamin J. Zwissler
Keyword(s):  
Diesel Engine ◽  
Least Squares ◽  
Real Time ◽  
Diesel Engines ◽  
Least Squares Method ◽  
Recursive Least Squares ◽  
Low Flow ◽  
Robust Version ◽  
Orifice Flow ◽  
Gas Recirculation

In this paper, we present a real-time parameter identification approach for diagnosing faults in the exhaust gas recirculation (EGR) system of Diesel engines. The proposed diagnostics method has the ability to detect and estimate the magnitude of a leak or a restriction in the EGR valve, which are common faults in the air handling system of a Diesel engine. Real-time diagnostics is achieved using a recursive-least-squares (RLS) method, as well as, a recursive formulation of a more robust version of the RLS method referred to as recursive total-least-squares method. The method is used to identify the coefficients in a static orifice flow model of the EGR valve. The proposed approach of fault detection is successfully applied to diagnose low-flow or high-flow faults in an engine and is validated using experimental data obtained from a Diesel engine test cell and a truck.

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