Flow Measurement Wavelet Filtering for Ultrasonic Flow Meter

2013 ◽  
Vol 390 ◽  
pp. 445-449
Author(s):  
Yu Yang ◽  
Wen Wen ◽  
Guang Hua Zong ◽  
Feng Lin Ding ◽  
Yong Li
Keyword(s):  
Integrated Circuit ◽  
Digital Signal ◽  
Power Input ◽  
Haar Wavelet ◽  
Noise Sources ◽  
Flow Meter ◽  
Wavelet Filtering ◽  
Wavelet Filters ◽  
Ultrasonic Flow Meter ◽  
Meyer Wavelet

This paper introduces the wavelet filtering to the digital signal processing of ultrasonic flow meter. The noise sources in ultrasonic flow meter are analyzed, and they are divided into three groups: power input, integrated circuit, and other acoustic ways. Some of the noise is not white noise, so traditional noise reduction filter is not effective. Original signal from ultrasonic flow meter is sampled, and four wavelet filters (Haar wavlet, Daubechies wavelet, Symlets wavlet, and discrete Meyer wavelet) with three threshold methods (SURE threshold, Universal threshold, and Minimax threshold) on the signal is compared through experiment. The result shows Haar wavelet with Universal threshold has the best filtering ability for ultrasonic flow meter.

scholarly journals Machine Learning for Diabetic Retinopathy Detection using Image Processing

2021 ◽  
Vol 9 (5) ◽  
pp. 209-215
Author(s):  
Ujwala W. Wasekar ◽  
R. K. Bathla
Keyword(s):  
Image Processing ◽  
Diabetic Retinopathy ◽  
Early Stage ◽  
Haar Wavelet ◽  
Feature Analysis ◽  
Median Filtering ◽  
Wavelet Filters ◽  
Knn Classifier ◽  
Form Features ◽  
Processing Techniques

he disorder of Diabetic Retinopathy (DR), a complication of Diabetes that may lead to blindness if not treated at an early stage, is diagnosed by evaluating the retina images of eye. However, the manual grading of images for identifying the seriousness of DR disease requires many resources and it also takes a lot of time. Automated systems give accurate results along with saving time. Ophthalmologists may find it useful in reducing their workload. Proposed work presents the method to correctly identify the lesions and classify DR images efficiently. Blood leaking out of veins form features such as exudates, microaneurysms and haemorrhages, on retina. Image processing techniques assist in DR detection. Median filtering is used on gray scale converted image to reduce noise. The features of the pre-processed images are extracted by textural feature analysis. Optic disc (OD) segmentation methodology is implemented for the removal of OD. Blood vessels are extracted using haar wavelet filters. KNN classifier is applied for classifying retinal image into diseased or healthy .The proposed algorithm is executed in MATLAB software and analyze results with regard to certain parameters such as accuracy, sensitivity, and specificity. The outcomes prove the superiority of the new method with sensitivity of 92.6%, specificity of 87.56% and accuracy of 95% on Diaretdb1 database.

A Hybrid Technique Using PCA and Wavelets in Network Traffic Anomaly Detection

2014 ◽  
Vol 6 (1) ◽  
pp. 17-53 ◽  
Author(s):  
Stevan Novakov ◽  
Chung-Horng Lung ◽  
Ioannis Lambadaris ◽  
Nabil Seddigh
Keyword(s):  
Spectral Analysis ◽  
Statistical Analysis ◽  
Wavelet Analysis ◽  
Anomaly Detection ◽  
Network Traffic ◽  
Hybrid Approach ◽  
Haar Wavelet ◽  
Wavelet Filtering ◽  
Analysis Technique ◽  
Network Anomaly Detection

Research into network anomaly detection has become crucial as a result of a significant increase in the number of computer attacks. Many approaches in network anomaly detection have been reported in the literature, but data or solutions typically are not freely available. Recently, a labeled network traffic flow dataset, Kyoto2006+, has been created and is publicly available. Most existing approaches using Kyoto2006+ for network anomaly detection apply various clustering techniques. This paper leverages existing well known statistical analysis and spectral analysis techniques for network anomaly detection. The first popular approach is a statistical analysis technique called Principal Component Analysis (PCA). PCA describes data in a new dimension to unlock otherwise hidden characteristics. The other well known spectral analysis technique is Haar Wavelet filtering analysis. It measures the amount and magnitude of abrupt changes in data. Both approaches have strengths and limitations. In response, this paper proposes a Hybrid PCA–Haar Wavelet Analysis. The hybrid approach first applies PCA to describe the data and then Haar Wavelet filtering for analysis. Based on prototyping and measurement, an investigation of the Hybrid PCA–Haar Wavelet Analysis technique is performed using the Kyoto2006+ dataset. The authors consider a number of parameters and present experimental results to demonstrate the effectiveness of the hybrid approach as compared to the two algorithms individually.

Adaptive Meyer wavelet filters for machinery fault diagnosis based on harmonic infinite-taxicab norm and grasshopper optimization algorithm

2020 ◽  
pp. 095440622097166
Author(s):  
Zhenling Mo ◽  
Heng Zhang ◽  
Jinglin Wang ◽  
Jianyu Wang ◽  
Hongyong Fu ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Optimization Algorithm ◽  
Band Pass Filter ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Wavelet Filters ◽  
Empirical Wavelet Transform ◽  
Grasshopper Optimization Algorithm ◽  
Grasshopper Optimization ◽  
Meyer Wavelet

Meyer wavelet filters are the key building blocks of empirical wavelet transform. In mechanical fault diagnosis, however, the boundaries of Meyer wavelet filters are usually defined empirically. In order to solve the problems, this paper proposes a new index called harmonic infinite-taxicab norm to guide grasshopper optimization algorithm to primarily optimize a band-pass filter and thus, concurrently and secondarily optimize a low-pass filter and a high-pass filter of Meyer wavelet. The proposed index is inspired by spectral Lp/Lq norm and it is closely related to fault characteristic frequency of rotating machinery. In addition, only three Meyer wavelet filters are demanded in each iteration of optimization. The effectiveness of the proposed method is validated by comparing with fast kurtogram method on analyzing faulty bearing data and gearbox data.

scholarly journals Proton Induced Single Event Effect Characterization on a Highly Integrated RF-Transceiver

Electronics ◽  
2019 ◽  
Vol 8 (5) ◽  
pp. 519 ◽  
Author(s):  
Jan Budroweit ◽  
Mattis Paul Jaksch ◽  
Maciej Sznajder
Keyword(s):  
Radio Frequency ◽  
Integrated Circuit ◽  
Digital Signal ◽  
Single Event ◽  
Rf Transceiver ◽  
Space Applications ◽  
Radio System ◽  
Filter Bandwidth ◽  
Single Event Effect ◽  
High Level

Radio frequency (RF) systems in space applications are usually designed for a single task and its requirements. Flexibility is mostly limited to software-defined adaption of the signal processing in digital signal processors (DSP) or field-programmable gate arrays (FPGA). RF specifications, such as frequency band selection or RF filter bandwidth are thereby restricted to the specific application requirements. New radio frequency integrated circuit (RFIC) devices also allow the software-based reconfiguration of various RF specifications. A transfer of this RFIC technology to space systems would have a massive impact to future radio systems for space applications. The benefit of this RFIC technology allows a selection of different RF radio applications, independent of their RF parameters, to be executed on a single unit and, thus, reduces the size and weight of the whole system. Since most RF application sin space system require a high level of reliability and the RFIC is not designed for the harsh environment in space, a characterization under these special environmental conditions is mandatory. In this paper, we present the single event effect (SEE) characterization of a selected RFIC device under proton irradiation. The RFIC being tested is immune to proton induced single event latch-up and other destructive events and shows a very low response to single failure interrupts. Thus, the device is defined as a good candidate for future, highly integrated radio system in space applications.

scholarly journals Performance optimization of ultrasonic flow meter based on computational fluid dynamics

2018 ◽  
Vol 10 (8) ◽  
pp. 168781401879326 ◽  
Author(s):  
Shanbi Peng ◽  
Wen Liao ◽  
Huan Tan
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Performance Optimization ◽  
Evaluation Method ◽  
Flow Meter ◽  
Rectification Effect ◽  
Ultrasonic Flow Meter ◽  
Accuracy Of Measurement ◽  
Nature Gas ◽  
Measuring Tool

As a common nature gas measuring tool, ultrasonic flow meter is more and more put into use. Therefore, the accuracy of measurement is what we concern the most. The performance of ultrasonic flow meter is closely related to fluid state which flows through it. This article identified the evaluation method of rectification effect of gasotron and its implementation steps. It proposed an assessing index Lmin based on dichotomy. Computational fluid dynamics method is used to simulate the model of an upstream straight pipe section with a header and plate gasotron, which obtained the assessing index Lmin in five different transmission conditions. Finally, the feasibility of the gasotron is validated against comparing indication errors in different installation conditions: with a header, benchmark, with a header and gasotron.

Simple Methods for Design of Narrowband High-Pass FIR Filters

2005 ◽  
pp. 2492-2498
Author(s):  
Gordana Jovanovic-Dolecek
Keyword(s):  
Integrated Circuit ◽  
High Reliability ◽  
Low Cost ◽  
Rapid Development ◽  
Digital Signal ◽  
Fir Filters ◽  
Integrated Circuit Fabrication ◽  
Circuit Fabrication ◽  
Analog Systems ◽  
High Pass

Digital signal processing (DSP) is an area of engineering that “has seen explosive growth during the past three decades” (Mitra, 2001). Its rapid development is a result of significant advances in digital computer technology and integrated circuit fabrication (Smith, 2002; Jovanovic-Dolecek, 2002). Diniz, Silva, and Netto (2002) state that “the main advantages of digital systems relative to analog systems are high reliability, suitability for modifying the system’s characteristics, and low cost.”

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