Article
Engineering, Multidisciplinary
Sumika Chauhan, Manmohan Singh, Ashwani Kumar Aggarwal
Summary: A fault identification scheme for bearings is proposed in this paper, involving pre-processing vibration signals, extracting features, training SVM model, and optimizing SVM parameters for efficiency improvement. The efficacy of the proposed algorithm is verified with 100% accuracy.
Article
Computer Science, Information Systems
Tie Zhang, Yuanhang Yang, Yanbiao Zou, Jun Zhao, Shenghong Wu
Summary: This study proposes a prediction method for human defecation based on deep residual attention network using bowel sounds. The method shows high accuracy in predicting defecation for patients with fecal incontinence, which can help them prepare in advance and prevent the occurrence of incontinence-associated dermatitis.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Jisha Anu Jose, C. Sathish Kumar, S. Sureshkumar
Summary: Tuna fish is commercially important and its classification plays a crucial role in the fishing industry. This study presents an automated tuna classification system using textural macro features, achieving high accuracy and performance.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Optics
Muhammad Rafiq Abuturab, Ayman Alfalou
Summary: A new method for multiple color image fusion, compression, and encryption using compressive sensing, chaotic-biometric keys, and optical fractional Fourier transform is proposed in this paper. The proposed cryptosystem has advantages of reduced data storage, uniqueness of biometric keys in CBPMs, very sensitive orders of the FrFT, and a single-channel hybrid optoelectronic setup.
OPTICS AND LASER TECHNOLOGY
(2022)
Article
Mathematics, Applied
U. K. Mandal, Sandeep Kumar Verma, Akhilesh Prasad
Summary: The paper aims to study the composition of continuous Kontorovich-Lebedev wavelet transform and wave packet transform based on the Kontorovich-Lebedev transform. Estimates for these transforms are obtained, along with Plancherel's relation for their composition. Additionally, a reconstruction formula for WPT associated with KL-transform is derived, and Calderon's formula related to KL-transform using its convolution property is obtained.
Article
Chemistry, Analytical
Zengyuan Liu, Xiujuan Feng, Chengliang Dong, Mingzhi Jiao
Summary: This paper proposes an analytical method of PID signal with the adaptive weight of small wave packet decomposition node to suppress noise caused by the photoionization detector monitoring signal of VOCs. The PID signal is transmitted to the upper machine software through a single-chip microcontroller. By comparing with traditional wavelet packet denoising method, the superiority of the proposed method in denoising signals of PID is verified. This method lays a foundation for accurate VOCs monitoring in a high humidity environment by eliminating noise generated by local non-uniformity on the photocathode surface of PID ionization chamber.
Article
Engineering, Biomedical
Mahesh Chandra, Pankaj Goel, Ankita Anand, Asutosh Kar
Summary: The improved high-speed adaptive filter-based denoising architectures proposed in this paper outperform existing adaptive filter architectures and wavelet-based architectures, offering design flexibility and efficiency in denoising ECG signals in noisy environments for low-cost high-performance applications in the medical field. These architectures also require significantly less hardware compared to state-of-the-art wavelet-based architectures.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Article
Optics
Shaocheng Han, Mengdie Lv, Zheng Cheng
Summary: This study proposes a dual-color blind image watermarking algorithm using the graph-based transform (GBT) in the stationary wavelet transform domain (SWT) for color image copyright protection. The algorithm separates the color watermark image and carrier image into their R, G, and B channel components, scrambles the watermark components using the Fibonacci-Lucas transform and encrypts them with the cosine-transform-based chaotic system (CTBCS). The encrypted watermark is then converted into binary sequences and embedded into the GBT low-frequency coefficients of selected image blocks of the corresponding components using parity quantization. Experimental results demonstrate that the algorithm is robust against conventional signal processing attacks and arbitrary angle rotation attacks while ensuring watermark invisibility.
Article
Engineering, Multidisciplinary
Min Shi, Chengyi Yang, Dalu Zhang
Summary: This study proposes a sleep quality detection and management method based on EEG, which achieved high accuracy in detecting sleep quality through methods like wavelet packet decomposition and LSTM model. The mobile terminal software is utilized for managing the detected sleep quality data, including querying historical data and alerting users in case of abnormalities to ensure physical fitness.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Claudia Barile, Caterina Casavola, Giovanni Pappalettera, Vimalathithan Paramsamy Kannan
Summary: Signal-based acoustic emission data were analyzed in this research to identify damage modes in CFRP composites. Novel methodologies were introduced, and the 'dmey' wavelet was chosen for damage process identification through WPT, which showed consistent results with shifting in spectral density for characterizing damage modes.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2022)
Article
Engineering, Multidisciplinary
Zhiwei Qiu, Rui Min, Daozhi Wang, Siwen Fan
Summary: This study proposes an intelligent fault diagnosis method based on energy features fusion to detect seal wear and internal leakage in hydraulic cylinders. By analyzing the flow field using computational fluid dynamics (CFD) technology, the energy features of the pressure signal are found to be related to internal leakage. Wavelet packet transform is applied to extract the energy features, which are then decomposed into statistics using multivariate statistics theory. Experimental investigations confirm the method's robustness and accuracy, outperforming several classical fault diagnosis methods.
Article
Chemistry, Analytical
Feng He, Qing Ye
Summary: A new method for bearing fault diagnosis based on wavelet packet transform and convolutional neural network optimized by a simulated annealing algorithm is proposed, showing better and more reliable diagnosis effect compared to existing machine learning and deep learning methods.
Article
Computer Science, Information Systems
Roop Singh, Alaknanda Ashok, Mukesh Saraswat
Summary: This paper proposes a high embedding capacity-based color image watermarking scheme that employs Arnold transform and redundant discrete wavelet transform to enhance security and embedding capacity, and achieves a balance between imperceptibility and robustness through spiral biogeography-based optimization.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Acoustics
Jian-Da Wu, Jun-Yuan Ke, Fan-Yu Shih, Wen-Jye Shyr
Summary: This study presents a fault diagnosis system for vehicle HVAC acoustic signal using various feature extractions in a deep learning neural network. DWT and WPT are proposed for fault diagnosis and low-frequency decomposition is used to improve performance. The study attempts to use wavelet packet conversion for feature extraction and achieves good fault diagnosis capabilities with deep neural networks.
JOURNAL OF LOW FREQUENCY NOISE VIBRATION AND ACTIVE CONTROL
(2022)
Article
Optics
Deyang Duan, Rong Zhu, Yunjie Xia
Summary: This study introduces a novel color night vision imaging method based on a ghost imaging framework and optimized coincidence measurement using wavelet transformation, which can directly produce color night vision images with high reconstruction ability.
