Adaptive Piecewise Linear Bits Estimation Model for MPEG Based Video Coding

1997 ◽  
Vol 8 (1) ◽  
pp. 51-67 ◽  
Author(s):  
Jia-Bao Cheng ◽  
Hsueh-Ming Hang
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Chongmao Tang

One huge challenge TBM construction face is to improve the breaking ability of cutters for hard rocks, making the studies on new rock breaking approaches for cutters very important. Although a lot of previous tests have proved that it is feasible to reduce the cutter force by free-face-assisted rock breaking (FM), the mechanisms behind such feasibility and the estimation methods for key parameters involved, including the maximum free face distance, crushing angle, and cutting force, remain to be studied further, limiting its applications in cutterhead design and engineering construction practice. Based on the analysis of the phenomena and laws of FM tests, this paper proposes the tensile-shear failure mechanism of FM and a piecewise linear failure criterion, which could explain the reason for the reduction of cutting force. Subsequently, a series of estimation models for the parameters above are proposed, and a series of FM tests were performed. By comparing the data obtained from the tests and calculations of the estimation model and CSM model, the estimation model in this paper is verified for its feasibility and limitations, which offered some insights on these aspects in follow-up research.


IEEE Access ◽  
2022 ◽  
pp. 1-1
Author(s):  
Dohyeon Park ◽  
Sung-Gyun Lim ◽  
Kwan-Jung Oh ◽  
Gwangsoon Lee ◽  
Jae-Gon Kim

Sensor Review ◽  
2014 ◽  
Vol 34 (3) ◽  
pp. 284-290 ◽  
Author(s):  
Lei Zhang ◽  
Fengchun Tian ◽  
Xiongwei Peng ◽  
Xin Yin ◽  
Guorui Li ◽  
...  

Purpose – The purpose of this paper is to present a novel concentration estimation model for improving the accuracy and robustness of low-cost electronic noses (e-noses) with metal oxide semiconductor sensors in indoor air contaminant monitoring and overcome the potential sensor drift. Design/methodology/approach – In the quantification model, a piecewise linearly weighted artificial neural network ensemble model (PLWE-ANN) with an embedded self-calibration module based on a threshold network is studied. Findings – The nonlinear estimation problem of sensor array-based e-noses can be effectively transformed into a piecewise linear estimation through linear weighted neural networks ensemble activated by a threshold network. Originality/value – In this paper, a number of experimental results have been presented, and it also demonstrates that the proposed model has very good accuracy and robustness in real-time indoor monitoring of formaldehyde.


1981 ◽  
Vol 64 (10) ◽  
pp. 9-17 ◽  
Author(s):  
Toshimichi Saito ◽  
Hiroichi Fujita

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