scholarly journals Are low-energy data already hinting at five dimensions?

2022 ◽  
Vol 105 (1) ◽  
Naoyuki Haba ◽  
Nobuchika Okada ◽  
Toshifumi Yamada
1995 ◽  
Vol 48 (5) ◽  
pp. 813 ◽  
FC Barker

Recent fits to low-energy 7Li(p, "Yo)8Be angular distribution and analysing power data suggested a large p-wave strength. It is shown that acceptable fits to the data can be obtained by attributing the p-wave Ml contributions to the tails of the 17 �64 and 18 �15 MeV 1+ levels of 8Be, with p-wave strengths much less than those obtained previously, but only if some of the spectroscopic amplitudes have signs opposite to those suggested by shell model calculations and/or a fit to higher-energy data.

2009 ◽  
Vol 80 (5) ◽  
Li Ye ◽  
Frank Petriello ◽  
Seth Quackenbush

Mathematics ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1564
Katerina Fronckova ◽  
Pavel Prazak

Kalman filters are a set of algorithms based on the idea of a filter described by Rudolf Emil Kalman in 1960. Kalman filters are used in various application domains, including localization, object tracking, and navigation. The text provides an overview and discussion of the possibilities of using Kalman filters in indoor localization. The problems of static localization and localization of dynamically moving objects are investigated, and corresponding stochastic models are created. Three algorithms for static localization and one algorithm for dynamic localization are described and demonstrated. All algorithms are implemented in the MATLAB software, and then their performance is tested on Bluetooth Low Energy data from a real indoor environment. The results show that by using Kalman filters, the mean localization error of two meters can be achieved, which is one meter less than in the case of using the standard fingerprinting technique. In general, the presented principles of Kalman filters are applicable in connection with various technologies and data of various nature.

1995 ◽  
Vol 75 (14) ◽  
pp. 2646-2649 ◽  
Keith R. Dienes ◽  
Alon E. Faraggi

1992 ◽  
Vol 25 (20) ◽  
pp. 4281-4285 ◽  
M Dummler ◽  
M Bartsch ◽  
H Geesmann ◽  
G F Hanne ◽  
J Kessler

Sign in / Sign up

Export Citation Format

Share Document