test pulse
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2021 ◽  
Author(s):  
E.P. Gorbaneva ◽  
M.P. Mitsulina ◽  
Yu.V. Ryabchuk

In this study, using the example of the Cooper test, pulse zones were identified in percentage ratio, which allow indirectly judging the contribution of a particular energy supply system for each athlete during cyclic work. Keywords: Cooper's test, energy supply, athletes-game players, pulse zones, heart rate monitoring, Polar.


Author(s):  
Leonid Mironovsky ◽  
Tatiana Solov’eva ◽  
Dmitry Shintyakov

Introduction: When diagnosing the deviations of controllable dynamic system parameters, it is convenient in terms of control simplicity to apply the Schreiber method which uses a set of rectangular pulses of equal duration as a test signal. Since for a single object you can construct many test signals which differ in the number of pulses, the problem arises how to minimize the number of test pulses when using the Schreiber method. Purpose: Simplification of test control and diagnostics of linear controllable dynamic systems. Results: It has been shown that a set of test pulse amplitude vectors is a kernel of the controllability matrix of a discrete analogue of the object under test. The problem is formulated of finding the optimal length of a test pulse in order to minimize the number of pulses in the test signal. For a given pulse length, the pulse amplitudes of an optimal test signal are equal to the coefficients of the control vector minimal polynomial for the discrete analog of the object relative to its system matrix. The number of test pulses can be reduced by choosing the pulse duration calculated from the imaginary component of the object poles. In particular, if an object has at least one pair of complex-conjugate poles, the number of test pulses does not at least exceed the order of the object. An algorithm has been developed for calculating a test signal for linear controllable object FDI by the Schreiber method. The input to the algorithm is the system matrix of the object, and the output is the length of the test pulse and the pulse amplitude vector. The efficiency of the algorithm is illustrated by FDI for two technical objects. Practical relevance: The results of the study can be applied to static parameter FDI of controllable dynamical objects which allow a linear description in their state space.


Author(s):  
Farid Ahmed ◽  
Mahbuba Kaniz Hasna ◽  
Md. Babul Akter ◽  
Md. Tanjilur Rahman Mondal ◽  
K. M. Eadun Nabi

The experiment was carried out in the field of Plant Pathology Department, Bangladesh Agricultural University, Mymensingh, Bangladesh to determine the effect of BARI-biofertilizer and Integrated Pest Management (IPM) biopesticide for controlling foot and root rot diseases of chickpea. It was observed that both BARI-Biofertilizer and IPM biopesticide resulted significantly lower disease incidence of seedlings of the test pulse over the control. Soil treatment with BARI-Biofertilizer resulted the lowest disease incidence of chickpea var. Hyprosola, Binasola-2, Binasola-3 and Binasola-4 at 20 DAS (Days after sowing) that displayed reduction of disease incidence up to 83.77%, 54.48%, 70.76% and 71.45% respectively over control. While at 28 DAS, showedup to 82.82%, 71.92%, 84.72% and 68.39%, respectively, reduction of disease incidence over control. At 35 DAS, exhibited up to 79.91%, 73.18%, 81.32% and 73.44%, respectively, reduction of disease incidence over control. BARI-biofertilizer and IPM biopesticide increased fresh weight of plant, number of nodules per plant and fresh weight of nodules per plant.


2018 ◽  
Author(s):  
Volker Freudenthaler ◽  
Holger Linné ◽  
Anatoli Chaikovski ◽  
Dieter Rabus ◽  
Silke Groß

Abstract. This paper describes the EARLINET quality assurance (QA) check-up tools for the hardware of lidars, developed in the recent years to monitor and improve the quality of the lidar systems and of their products. These check-up tools are the trigger-delay test, the Rayleigh-fit, the lidar test-pulse generator, the dark measurement, the telecover test, and the polarisation calibration.


2017 ◽  
Vol 11 (8) ◽  
pp. 1383-1390 ◽  
Author(s):  
Xingwei Zhou ◽  
Bo Zhou ◽  
Lan Yang ◽  
Liwei Shi

2014 ◽  
Author(s):  
A. Wojenski ◽  
G. Kasprowicz ◽  
K. T. Pozniak ◽  
A. Byszuk ◽  
B. Juszczyk ◽  
...  

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