Data Rate Estimation Method For Wi-Fi Networks Operating Under Intra-system Interference Influence

2020 ◽  
Author(s):  
S. V. Kozlov
Keyword(s):  
Estimation Method ◽  
Data Rate ◽  
Rate Estimation

Satellite Spin Rate Estimation Method by Measuring the Received Power Data at Two Points

2017 ◽  
Vol 137 (3) ◽  
pp. 547-548
Author(s):  
Ryuichi Mitsuhashi ◽  
Ryosuke Hayasaka ◽  
Shin Satori ◽  
Masami Sasaki
Keyword(s):  
Estimation Method ◽  
Rate Estimation ◽  
Received Power ◽  
Satellite Spin

scholarly journals Experimental Verification of Real-Time Flow-Rate Estimations in a Tilting-Ladle-Type Automatic Pouring Machine

2021 ◽  
Vol 11 (15) ◽  
pp. 6701
Author(s):  
Yuta Sueki ◽  
Yoshiyuki Noda
Keyword(s):  
Real Time ◽  
Molten Metal ◽  
Flow Rate ◽  
Kalman Filters ◽  
Estimation Method ◽  
Estimation Methods ◽  
Liquid Volume ◽  
Model Parameters ◽  
Rate Estimation ◽  
Time Flow

This paper discusses a real-time flow-rate estimation method for a tilting-ladle-type automatic pouring machine used in the casting industry. In most pouring machines, molten metal is poured into a mold by tilting the ladle. Precise pouring is required to improve productivity and ensure a safe pouring process. To achieve precise pouring, it is important to control the flow rate of the liquid outflow from the ladle. However, due to the high temperature of molten metal, directly measuring the flow rate to devise flow-rate feedback control is difficult. To solve this problem, specific flow-rate estimation methods have been developed. In the previous study by present authors, a simplified flow-rate estimation method was proposed, in which Kalman filters were decentralized to motor systems and the pouring process for implementing into the industrial controller of an automatic pouring machine used a complicatedly shaped ladle. The effectiveness of this flow rate estimation was verified in the experiment with the ideal condition. In the present study, the appropriateness of the real-time flow-rate estimation by decentralization of Kalman filters is verified by comparing it with two other types of existing real-time flow-rate estimations, i.e., time derivatives of the weight of the outflow liquid measured by the load cell and the liquid volume in the ladle measured by a visible camera. We especially confirmed the estimation errors of the candidate real-time flow-rate estimations in the experiments with the uncertainty of the model parameters. These flow-rate estimation methods were applied to a laboratory-type automatic pouring machine to verify their performance.

scholarly journals A Novel Real-Time Human Heart Rate Estimation Method for Noncontact Vital Sign Radar Detection

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 88689-88699
Author(s):  
Yipeng Ding ◽  
Xiali Yu ◽  
Chengxi Lei ◽  
Yinhua Sun ◽  
Xuemei Xu ◽  
...  
Keyword(s):  
Heart Rate ◽  
Real Time ◽  
Vital Sign ◽  
Human Heart ◽  
Estimation Method ◽  
Radar Detection ◽  
Rate Estimation ◽  
Heart Rate Estimation

Wavelet Variance Maximization: A contactless respiration rate estimation method based on remote photoplethysmography

2021 ◽  
Vol 63 ◽  
pp. 102263
Author(s):  
Duncan Luguern ◽  
Richard Macwan ◽  
Yannick Benezeth ◽  
Virginie Moser ◽  
L. Andrea Dunbar ◽  
...  
Keyword(s):  
Respiration Rate ◽  
Estimation Method ◽  
Rate Estimation ◽  
Remote Photoplethysmography ◽  
Wavelet Variance

scholarly journals A tags’ arrival rate estimation method using weighted grey model(1,1) and sliding window in mobile radio frequency identification systems

2020 ◽  
Vol 16 (10) ◽  
pp. 155014772096789
Author(s):  
Liqian Zhang ◽  
Xueliang Fu ◽  
Honghui Li
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Estimation Method ◽  
Sliding Window ◽  
Arrival Rate ◽  
Mobile Radio ◽  
Grey Model ◽  
Identification System ◽  
Rate Estimation ◽  
Frequency Identification

In order to guarantee the tag identification accuracy and efficiency in mobile radio frequency identification system, it is necessary to estimate the tags’ arrival rate before performing identification. This research aims to develop a novel estimation method based on improved grey model(1,1) and sliding window mechanism. By establishing tags’ dynamic arrival model, this article emphasizes the importance of tags’ arrival rate estimation in mobile radio frequency identification system. Using sliding window mechanism and weighted coefficients method, weighted grey model(1,1) with sliding window (WGMSW(1,1)) is proposed based on traditional grey model(1,1). For experimental verification, three kinds of data are used as original data in WGMSW(1,1). The experimental results show that the proposed method has lower estimation error rate, lower computation complexity, and high system stability.

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