A Novel Method of Spike Detection for Interferograms Based on Two-Step Filtering

2014 ◽  
Vol 599-601 ◽  
pp. 1364-1368
Author(s):  
Yao Pu Zou ◽  
Chang Pei Han ◽  
Lei Zhang ◽  
Wen Gui Pan ◽  
Chao Wang
Keyword(s):  
Computer Simulation ◽  
Theoretical Analysis ◽  
Detection Method ◽  
High Accuracy ◽  
Spike Detection ◽  
Novel Method

According to the characteristics of interferogram, we design a new spike detection method, which firstly filters an interferogram with two different ways and then detects spikes based on both results. Theoretical analysis and computer simulation shows that this algorithm performs well in detecting spikes in any position of an interferogram with high accuracy, and can be easily implemented in hardware.

Research on a beef tenderness detection method using a bionic mastication system based on a pressure sensor

2017 ◽  
Vol 9 (32) ◽  
pp. 4695-4701 ◽  
Author(s):  
Xiaodan Wang ◽  
Hongmei Wang ◽  
Yingming Cai ◽  
Jiahui Jin ◽  
Lingtao Zhu ◽  
...  
Keyword(s):  
Pressure Sensor ◽  
Detection Method ◽  
High Accuracy ◽  
Meat Tenderness ◽  
Beef Tenderness ◽  
Novel Method

A novel method using bionic mastication system based on a pressure sensor was developed to predict beef tenderness with convenience, stability and high accuracy. What's more, this method can be applied to detect other meat tenderness such as those of chicken and pork as well, which indicates a universality of this method.

scholarly journals Multi-fidelity Gaussian Process Bandit Optimisation

2019 ◽  
Vol 66 ◽  
pp. 151-196 ◽  
Author(s):  
Kirthevasan Kandasamy ◽  
Gautam Dasarathy ◽  
Junier Oliva ◽  
Jeff Schneider ◽  
Barnabás Póczos
Keyword(s):  
Computer Simulation ◽  
Theoretical Analysis ◽  
Gaussian Process ◽  
Target Function ◽  
Black Box ◽  
Confidence Bound ◽  
Bandit Problem ◽  
Single Function ◽  
Novel Method ◽  
Upper Confidence Bound

In many scientific and engineering applications, we are tasked with the maximisation of an expensive to evaluate black box function f. Traditional settings for this problem assume just the availability of this single function. However, in many cases, cheap approximations to f may be obtainable. For example, the expensive real world behaviour of a robot can be approximated by a cheap computer simulation. We can use these approximations to eliminate low function value regions cheaply and use the expensive evaluations of f in a small but promising region and speedily identify the optimum. We formalise this task as a multi-fidelity bandit problem where the target function and its approximations are sampled from a Gaussian process. We develop MF-GP-UCB, a novel method based on upper confidence bound techniques. In our theoretical analysis we demonstrate that it exhibits precisely the above behaviour and achieves better bounds on the regret than strategies which ignore multi-fidelity information. Empirically, MF-GP-UCB outperforms such naive strategies and other multi-fidelity methods on several synthetic and real experiments.

scholarly journals He’s Max-Min Approach for Coupled Cubic Nonlinear Equations Arising in Packaging System

2013 ◽  
Vol 2013 ◽  
pp. 1-4 ◽  
Author(s):  
Jun Wang
Keyword(s):  
Computer Simulation ◽  
Approximate Solution ◽  
Numerical Solution ◽  
Nonlinear Equations ◽  
High Accuracy ◽  
Packaging System ◽  
Novel Method ◽  
Runge Kutta

He’s inequalities and the Max-Min approach are briefly introduced, and their application to a coupled cubic nonlinear packaging system is elucidated. The approximate solution is obtained and compared with the numerical solution solved by the Runge-Kutta algorithm yielded by computer simulation. The result shows a great high accuracy of this method. The research extends the application of He’s Max-Min approach for coupled nonlinear equations and provides a novel method to solve some essential problems in packaging engineering.

scholarly journals He Chengtian’s Inequalities for a Coupled Tangent Nonlinear System Arisen in Packaging System

2013 ◽  
Vol 2013 ◽  
pp. 1-4
Author(s):  
Jun Wang ◽  
Zhi-geng Fan ◽  
Li-xin Lu ◽  
An-jun Chen ◽  
Zhi-wei Wang
Keyword(s):  
Computer Simulation ◽  
Approximate Solution ◽  
Nonlinear System ◽  
High Accuracy ◽  
Packaging System ◽  
Suggested Approach ◽  
Novel Method

He Chengtian’s inequalities from ancient Chinese algorithm are applied to strong tangent nonlinear packaging system. The approximate solution is obtained and compared with the solution yielded by computer simulation, showing a great high accuracy of this method. The suggested approach provides a novel method to solve some essential problems in packaging engineering.

Deep Learning based Thermal Crack Detection on Structural Concrete Exposed to Elevated Temperature

2021 ◽  
pp. 136943322098663
Author(s):  
Diana Andrushia A ◽  
Anand N ◽  
Eva Lubloy ◽  
Prince Arulraj G
Keyword(s):  
Deep Learning ◽  
Crack Detection ◽  
Detection Method ◽  
Concrete Structures ◽  
Vital Role ◽  
Subjective Knowledge ◽  
Thermal Cracks ◽  
Reinforced Cement ◽  
Novel Method ◽  
Human Inspection

Health monitoring of concrete including, detecting defects such as cracking, spalling on fire affected concrete structures plays a vital role in the maintenance of reinforced cement concrete structures. However, this process mostly uses human inspection and relies on subjective knowledge of the inspectors. To overcome this limitation, a deep learning based automatic crack detection method is proposed. Deep learning is a vibrant strategy under computer vision field. The proposed method consists of U-Net architecture with an encoder and decoder framework. It performs pixel wise classification to detect the thermal cracks accurately. Binary Cross Entropy (BCA) based loss function is selected as the evaluation function. Trained U-Net is capable of detecting major thermal cracks and minor thermal cracks under various heating durations. The proposed, U-Net crack detection is a novel method which can be used to detect the thermal cracks developed on fire exposed concrete structures. The proposed method is compared with the other state-of-the-art methods and found to be accurate with 78.12% Intersection over Union (IoU).

A Novel Vertical Lift Machine and its Precise Pose Control

2014 ◽  
Vol 989-994 ◽  
pp. 3105-3109
Author(s):  
Xiao Bo Liu ◽  
Xiao Feng Wei ◽  
Xiao Dong Yuan ◽  
Wei Ni
Keyword(s):  
Control System ◽  
Theoretical Analysis ◽  
Control Method ◽  
High Accuracy ◽  
Inverse Kinematic ◽  
Design Model ◽  
Pose Control ◽  
Vertical Lift ◽  
Position And Orientation ◽  
Control Principle

This paper deals with the design and theoretical analysis on a novel vertical lift machine which can vertically lift above 700 kg load up to 3.2 meters above the floor and located the load with high accuracy of position and orientation. Firstly the design model based on the installment demands of line-replaceable units (LRUs) is constructed. Then theoretical analysis including the number of degree of freedom of the lift machine, the inverse kinematic, the control principle, the lift platform pose error and the precise pose control method are conducted in the article. The validity of the design model and the effectiveness of the precise pose control system are confirmed by experiments using a prototype lift machine.

High-Accuracy Ultrasound Contrast Agent Detection Method for Diagnostic Ultrasound Imaging Systems

2015 ◽  
Vol 41 (12) ◽  
pp. 3120-3130 ◽  
Author(s):  
Koichi Ito ◽  
Kazumasa Noro ◽  
Yukari Yanagisawa ◽  
Maya Sakamoto ◽  
Shiro Mori ◽  
...  
Keyword(s):  
Contrast Agent ◽  
Ultrasound Imaging ◽  
Detection Method ◽  
Ultrasound Contrast Agent ◽  
Diagnostic Ultrasound ◽  
High Accuracy ◽  
Imaging Systems ◽  
Ultrasound Contrast
Sign in / Sign up

Export Citation Format

Share Document