Aluminum Foil Packaging Sealing Testing Method Based on Gabor Wavelet and ELM Neural Network

2018 ◽  
Author(s):  
Yibang Zhou ◽  
Qimeng Liu ◽  
Yueteng Zhao ◽  
Weijun Li
Keyword(s):  
Neural Network ◽  
Aluminum Foil ◽  
Gabor Wavelet ◽  
Testing Method

scholarly journals A nondestructive testing method for soluble solid content in Korla fragrant pears based on electrical properties and artificial neural network

2020 ◽  
Vol 8 (9) ◽  
pp. 5172-5181
Author(s):  
Haipeng Lan ◽  
Zhentao Wang ◽  
Hao Niu ◽  
Hong Zhang ◽  
Yongcheng Zhang ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Electrical Properties ◽  
Nondestructive Testing ◽  
Solid Content ◽  
Soluble Solid Content ◽  
Testing Method ◽  
Soluble Solid ◽  
Artificial Neural ◽  
Nondestructive Testing Method

Pedestrian Attribute Recognition using Gabor Wavelet Layers

2021 ◽  
Author(s):  
Imran N. Junejo
Keyword(s):  
Neural Network ◽  
Public Spaces ◽  
Convolution Neural Network ◽  
Gabor Wavelet ◽  
Gabor Wavelets ◽  
Age Group ◽  
Clothing Style ◽  
Public Dataset ◽  
Attribute Recognition ◽  
Almost All

We address the problem of Pedestrian Attribute Recognition (PAR) in this paper. Owing to the presence of surveillance cameras in almost all outdoor and indoor public spaces, keeping and eye on pedestrian is a sought-after task with many useful applications. The problem entails recognizing attributes such as age-group, clothing style, accessories, footwear style etc. This is a multi-label problem and challenging even for human observers. We propose using a convolution neural network (CNN) with trainable Gabor wavelets (TGW) layers. The proposed layers are learnable and adapt to the dataset for a better recognition. The proposed multi-branch neural network is a mix of TGW and convolutional layers and we show its effectiveness on a public dataset.

scholarly journals CDF Space Covariance Matrix of Gabor Wavelet With Convolutional Neural Network for Texture Recognition

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 30693-30701 ◽  
Author(s):  
Chaorong Li ◽  
Xiaoyun Guan ◽  
Peihui Yang ◽  
Yuanyuan Huang ◽  
Wei Huang ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Covariance Matrix ◽  
Gabor Wavelet ◽  
Texture Recognition

The Dynamic Testing Method for Damage Diagnosis of Multi-Story Masonry Buildings

2011 ◽  
Vol 368-373 ◽  
pp. 1148-1151
Author(s):  
Feng Ge Li ◽  
Hong Yu
Keyword(s):  
Neural Network ◽  
Numerical Computation ◽  
Bp Neural Network ◽  
Dynamic Testing ◽  
Masonry Structure ◽  
Masonry Buildings ◽  
Damage Diagnosis ◽  
Testing Method ◽  
Damage Indicator ◽  
Artificial Network

A new method to diagnose the damage of masonry structure using artificial network is brought forward. The frequencies and the ratio of change for any two orders various frequencies is chosen as a damage indicator and is used to train the BP neural network, which can diagnose the damage of masonry structure. The result of the numerical computation shows that the BP neural network can diagnose the damage of masonry structure.

scholarly journals Identification of Water Vapour Transmission Rate (WVTR) of Aluminum Foil Packaging Barrier using The Gravimetric Testing Method

2020 ◽  
Vol 6 (1) ◽  
pp. 49-54
Author(s):  
Syafira Syafira ◽  
Supardianningsih Supardianningsih ◽  
Mawan Nugraha
Keyword(s):  
Water Vapour ◽  
Transmission Rate ◽  
Food Product ◽  
Aluminum Foil ◽  
Food Products ◽  
Main Function ◽  
Test Results ◽  
Product Packaging ◽  
Testing Method ◽  
Water Vapour Transmission Rate

The packaging is the most important thing for packing the food product. The main function of packaging is protecting the product from external factors such as light, water vapour, oxygen, and humidity. Sometimes the damage of food products occurs because of the contaminations of water vapour like a clumping on powdered food products. However, aluminum foil is a good barrier to protect food products. The packaging barrier needs to be tested to assure which one is the best to protect food products, especially from water vapour. Water vapour transmission rates are used to test how much the vapour can be absorbed by the packaging and the test results can be used as a reference for product packaging. The identification of water vapour transmission absorbed on the aluminum foil is tested using the gravimetric testing method and refers to the ASTM E96 standard. The result shows the thicker aluminum foil has used to protect the food products, the lower they absorb water vapour.

scholarly journals A State of the art Survey on Face Recognition Methods

2022 ◽  
Vol 12 (1) ◽  
pp. 0-0
Keyword(s):  
Neural Network ◽  
Face Recognition ◽  
State Of The Art ◽  
Hidden Markov ◽  
Gabor Wavelet ◽  
Support Vector ◽  
Illumination Variation ◽  
Software Application ◽  
Pose Variation ◽  
Wavelet Pca

Face Recognition is an efficient technique and one of the most liked biometric software application for the identification and verification of specific individual in a digital image by analysing and comparing patterns. This paper presents a survey on well-known techniques of face recognition. The primary goal of this review is to observe the performance of different face recognition algorithms such as SVM (Support Vector Machine), CNN (Convolutional Neural Network), Eigenface based algorithm, Gabor Wavelet, PCA (Principle Component Analysis) and HMM (Hidden Markov Model). It presents comparative analysis about the efficiency of each algorithm. This paper also figure out about various face recognition applications used in real world and face recognition challenges like Illumination Variation, Pose Variation, Occlusion, Expressions Variation, Low Resolution and Ageing in brief. Another interesting component covered in this paper is review of datasets available for face recognition. So, must needed survey of many recently introduced face recognition aspects and algorithms are presented.

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