Article
Computer Science, Information Systems
Xiangyi Liu, Xiaojie Li, Xianhua Niu, Canghong Shi, Ling Xiong, Qian Qing, Yushi Liu, Tianyu Yang
Summary: Robust audio watermarking algorithm is proposed in this paper to resist cropping attack by combining chaotic system, scale invariant feature transform (SIFT) feature and discrete wavelet transform (DWT). The algorithm applies DWT to the original signal, extracts SIFT features from the obtained DWT low-frequency coefficients, encrypts the watermark with Tent map, and embeds it into the low-frequency components based on the sift features location information. The proposed algorithm outperforms state-of-the-art audio watermarking algorithms in terms of robustness and payload capacity while ensuring good imperceptibility.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Acoustics
Euschi Salah, Khaldi Amine, Kafi Redouane, Kahlessenane Fares
Summary: This paper presents two new substitution schemes for digital audio watermarking based on Fourier transform, demonstrating good imperceptibility and high-quality watermark robust against various attacks in the frequency domain, but with reduced capacity when using small audio files in experiments.
Article
Computer Science, Artificial Intelligence
Mohamed Yamni, Hicham Karmouni, Mhamed Sayyouri, Hassan Qjidaa
Summary: The proposed audio watermarking scheme based on a novel hybrid transform combines DTCWT and FrCMT to achieve high robustness and security by embedding watermark bits in coefficients.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Yu Liu, Feng Zhang, Hongxia Miao, Ran Tao
Summary: This paper introduces the sliding window algorithm for real-time calculation of fractional Fourier transform, proposing the hopping DFrFT algorithm and methods applied in DTFrFT and DFrCT/DFrST/DFrHT. Simulation results confirm that the sliding algorithm can reduce computation complexity without degrading precision.
Article
Engineering, Electrical & Electronic
M. Yamni, H. Karmouni, M. Sayyouri, H. Qjidaa
Summary: This paper proposes a robust audio/speech watermarking algorithm that combines multiple transformation methods to achieve high robustness, high payload capacity, and high security, with a blind extraction strategy.
DIGITAL SIGNAL PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Longting Xu, Daiyu Huang, Syed Faham Ali Zaidi, Abdul Rauf, Rohan Kumar Das
Summary: In this work, a novel audio zero-watermarking technology based on graph Fourier transform is proposed for enhancing the robustness of copyright protection. By encoding the characteristics of the audio segment using K-means algorithm and XOR-ing with the watermark binary sequence, the proposed approach shows more effectiveness in resisting common or synchronization attacks compared to existing state-of-the-art methods.
IEEE SIGNAL PROCESSING LETTERS
(2021)
Article
Mathematics
Vitaly Kober
Summary: This paper introduces the applications of discrete cosine and sine transforms in first-order Markov stationary signals and proposes fast algorithms based on a generalized solution and pruned discrete sine transforms. The performances of the algorithms are compared with other algorithms, demonstrating low complexity and fast execution time.
Article
Computer Science, Hardware & Architecture
Euschi Salah, Khaldi Amine, Kafi Med Redouane, Kahlessenane Fares
Summary: This paper proposes a new integration scheme for blind audio file watermarking to protect audio files, achieving a good Signal-to-Noise Ratio and imperceptibility through insertion in spatial, frequency and multi-resolution domains.
JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS
(2021)
Article
Computer Science, Information Systems
Khalid M. Hosny, Mohamed M. Darwish
Summary: This paper proposes a novel robust color image-watermarking algorithm based on new multiple fractional multi-channel orthogonal moments, fractional-order exponent moments (MFrEMs), fractional-order polar harmonic transforms (MFrPHTs), and fractional-order radial harmonic Fourier moments (MFrRHFMs). The experimental results demonstrate that the proposed approach provides robustness against various attacks and better imperceptibility than the existing methods.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Amita Singha, Muhammad Ahsan Ullah
Summary: This paper presents a digital watermarking technique for ensuring security to an audio signal, developed using discrete wavelet transform (DWT) and singular value decomposition (SVD). The technique incorporates multi-level DWT and multiple images with different sizes as watermarks, distributing the watermark signals' energy throughout the entire host signal. The technique demonstrates robustness with a PSNR of 196.8105 dB and an NCC over 0.9 in experimental results.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Engineering, Electrical & Electronic
Jingxuan Li, Shijun Xiang
Summary: This paper presents a new audio-lossless robust watermarking (ALRW) technique that allows for complete restoration of audio files without any loss in the absence of attacks, while being resistant to challenging desynchronization attacks such as random cropping and time-scale modification.
Article
Engineering, Electrical & Electronic
Khalid M. Hosny, Mohamed M. Darwish
Summary: The paper proposes a reversible and robust color image watermarking method using a new set of multi-channel fractional-order polar harmonic transforms and their geometric invariants in the watermarking process. The binary watermark bits are scrambled using a 1D chaotic sine map to enhance security. Experimental results demonstrate high visual imperceptibility and superior robustness against attacks compared to recent color image watermarking methods with similar colors.
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
(2021)
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
Computer Science, Information Systems
Yuan-Min Li, Deyun Wei, Lina Zhang
Summary: This paper proposes a robust double-encrypted watermarking algorithm based on FRFT and DCT in the invariant wavelet domain, achieving high robustness against different attacks by utilizing RIDWT and cosine transform to obtain a hybrid domain. The algorithm enhances security by double-encrypting the watermark with the Arnold transform and FRFT before applying singular value decomposition. The optimal embedding factors are obtained using multiparameter particle swarm optimization to balance invisibility and robustness.
INFORMATION SCIENCES
(2021)
Article
Computer Science, Information Systems
Guosheng Gu, Huihong Lu, Jiehang Deng, Hao Wang, Haomin Wei, Jie Ling
Summary: This paper proposes a synergetic encryption algorithm that combines DFrRT and chaotic maps to overcome the linear flaw in the original DFrRT. The experimental results show that the algorithm has better cryptographic performances in multiple aspects.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Materials Science, Multidisciplinary
Feng Yu, Le Pang, Hong-Xia Wang
Summary: In this study, a mulberry-like RuO2 electrode material with large specific surface area was successfully synthesized via a hydrothermal method. The electrochemical characterization demonstrated that RuO2 exhibited a high specific capacitance of 400 F.g(-1) at a current density of 0.2 A.g(-1) and retained 84.7% capacitance after 6000 charge/discharge cycles at a current density of 10 A.g(-1). The energy and power densities of the RuO2-AC supercapacitor ranged from 25.0 to 11.7 Wh.kg(-1) and 160 to 10,560 W.kg(-1) at different current densities.
Article
Nanoscience & Nanotechnology
Weijian Chen, Ngoc Duy Pham, Hongxia Wang, Baohua Jia, Xiaoming Wen
Summary: Optimized additives significantly improve charge carrier transfer in perovskite solar cells.
The hole mobility and conductivity of hole transport layers are crucial in suppressing mobile-ion accumulation at solar cell interfaces.
Engineering additives plays a key role in accelerating the commercialization of perovskite photovoltaics.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Nanoscience & Nanotechnology
Xue-Liang Zhang, Zhi-Qin Ruan, Qiao-Tong He, Xu-Jia Hong, Xin Song, Qi-Feng Zheng, Jia-Hui Nie, Yue-Peng Cai, Hongxia Wang
Summary: By investigating the mechanism of formation of a novel 3D nanostructured substrate, a stable environment for lithium metal deposition and stripping was proposed, preventing the generation of lithium dendrites effectively.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Review
Chemistry, Physical
Disheng Yao, Minh Tam Hoang, Hongxia Wang
Summary: Low-dimensional-networked (LDN) perovskites are materials with molecular structures arranged in 2D, 1D, or 0D, which have more flexible crystal structure and robust stability compared to conventional 3D perovskites. They have been increasingly studied for applications in optoelectronic devices such as solar cells, LEDs, and photodetectors to overcome the limitations of conventional materials.
Article
Construction & Building Technology
Sen Wang, Lloyd Gainey, Daniel Baxter, Xiaodong Wang, Ian D. R. Mackinnon, Yunfei Xi
Summary: The study on mineralogical transformation of clay material for brick manufacturing revealed that a slower ramp rate decreases onset temperature of reactions, while an increase in firing temperature significantly enhances compressive strength of brick buttons.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Review
Materials Science, Multidisciplinary
Le Pang, Hongxia Wang
Summary: This article discusses the use of aqueous anionic redox liquid electrolyte (AARLE) to enhance the energy density of supercapacitors, summarizes the performance of supercapacitors using AARLE, and analyzes the impact of different redox species on the performance of supercapacitors. The challenges and opportunities of AARLE for supercapacitors are also presented, offering a new perspective for developing high-performance supercapacitors in the future.
ADVANCED MATERIALS TECHNOLOGIES
(2022)
Article
Chemistry, Physical
Sen Wang, Lloyd Gainey, Xiaodong Wang, Ian D. R. Mackinnon, Yunfei Xi
Summary: The effects of adding palygorskite containing clay on the firing process and properties of brick buttons were studied. It was found that adding palygorskite improved the physical, mechanical, and thermal properties of the fired brick buttons, but its effect on vitrification was nonlinear and non-uniform. By controlling the addition ratio of palygorskite containing clay, the optimum compressive strength and thermal diffusivity can be achieved.
APPLIED CLAY SCIENCE
(2022)
Article
Construction & Building Technology
Sen Wang, Lloyd Gainey, Julius Marinelli, Brianna Deer, Xiaodong Wang, Ian D. R. Mackinnon, Yunfei Xi
Summary: The study investigates the effects of vermiculite on the production of bricks. Through various analysis methods, the thermal behavior, microstructure, physical, and compressive characteristics of brick samples with vermiculite have been studied. The results show that the addition of vermiculite changes the chemical composition and physical properties of the bricks, and it also affects the mechanical performance.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Materials Science, Multidisciplinary
Amandeep Singh, Minh Tam Hoang, Ngoc Duy Pham, Tony Wang, Joshua Mcdonald, Qin Li, Kostya (Ken) Ostrikov, Hongxia Wang, Prashant Sonar
Summary: Halide perovskite nanocrystals can be used to address light-emission technology issues, with the help of a self-assembled carbon dots layer to balance electron and hole carriers, thus improving the stability and efficiency of LEDs.
ADVANCED MATERIALS TECHNOLOGIES
(2022)
Article
Chemistry, Physical
Wei Li, Qingdong Ou, Xiaodong Wang, Kaijian Xing, Tuquabo Tesfamichael, Nunzio Motta, Dong-Chen Qi
Summary: This study reports a scalable NO2 gas sensor based on centimeter-sized single-crystalline alpha-MoO3. The sensor exhibits outstanding sensitivity, selectivity, and reversibility towards NO2, with a limit of detection as low as 5 ppb. The scalability and intrinsic sensing response are demonstrated by fabricating microscale sensor devices on individual exfoliated alpha-MoO3 nanoribbons. The study presents promising opportunities for developing a high-performance gas sensing platform based on crystalline alpha-MoO3.
APPLIED SURFACE SCIENCE
(2022)
Article
Chemistry, Physical
Minh Tam Hoang, Yang Yang, Bryan Tuten, Hongxia Wang
Summary: The appeal of metal halide perovskite solar cells (PSCs) lies in their excellent optical and electrical properties, as well as their compatibility with flexible substrates. These lightweight solar cell devices hold the highest record of specific power, indicating great potential for space applications. However, PSCs face challenges in space environments due to radiation and thermal cycling. This Perspective provides a brief summary of research on PSCs for space applications, discussing their radiation tolerance, thermal stability, and fundamental mechanisms, while highlighting the key challenges in future space applications and the prospect of PSCs as the next frontier in space PV technology.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2022)
Article
Chemistry, Multidisciplinary
Amandeep Singh Pannu, Suvankar Sen, Xiaodong (Tony) Wang, Robert Jones, Kostya (Ken) Ostrikov, Prashant Sonar
Summary: Organic-inorganic hybrid lead trihalide perovskites have shown promise in various optoelectronic devices. Red-emitting perovskite-based LEDs have been less developed compared to green and blue ones. This study utilizes red-emitting 2D perovskites and carbon dots to create a stable composite material for red-emitting LEDs with improved performance.
Article
Chemistry, Physical
Yongyue Yu, Minh Tam Hoang, Yang Yang, Hongxia Wang
Summary: C-PSCs with carbon electrodes have the advantages of low cost, high stability, and easy fabrication, making them a promising technology for cost-effective solar electricity. However, the power conversion efficiency of C-PSCs is lower than that of gold-based counterparts due to inefficient charge transfer and poor perovskite/carbon interfacial contact. This review summarizes the research on carbon pastes (CPs) for desirable properties of carbon electrodes and discusses the various structures and fabrication techniques of C-PSCs. Future perspectives on efficient, stable, and scalable C-PSCs are also presented.
Article
Chemistry, Physical
Minh Tam Hoang, Yang Yang, Wei Hsun Chiu, Yongyue Yu, Ngoc Duy Pham, Paul Moonie, Andrew Koplick, Gavin Tulloch, Wayde Martens, Hongxia Wang
Summary: The effects of alkali fluoride salts on the properties of SnO2 and perovskite solar cell (PSC) performance were investigated. The results showed that larger alkali cations passivate the surface defects of SnO2 while smaller cations reduce trap density in the perovskite layer. A dual cation treatment with RbF and CsF on the SnO2 layer achieved a significantly higher power conversion efficiency of 21.66% compared to the pristine PSC with a PCE of 19.71%.
Article
Chemistry, Multidisciplinary
Athukoralalage Don K. Deshan, Lalehvash Moghaddam, Luqman Atanda, Hongxia Wang, John P. Bartley, William O. S. Doherty, Darryn W. Rackemann
Summary: To reduce the production cost of chemicals from renewable resources, a study has been conducted using a low-cost and efficient catalyst to convert concentrated sugar solutions into 5-hydroxymethylfurfural (HMF) within a short reaction time. It has been found that the presence of glucose significantly improves the HMF yield compared to using fructose alone. The formation of glucose-fructose dimers during the reaction plays a critical role in achieving higher-than-expected HMF yields.
Article
Computer Science, Hardware & Architecture
Jia Ke, Ying Wang, Mingyue Fan, Xiaojun Chen, Wenlong Zhang, Jianping Gou
Summary: This study integrates the emotional correlation analysis model and Self-organizing Map (SOM) to construct fine-grained user emotion vector based on review text and perform visual cluster analysis, which helps platform merchants quickly mine user clustering and characteristics.
COMPUTERS & ELECTRICAL ENGINEERING
(2024)
Article
Computer Science, Hardware & Architecture
Shi Qiu, Huping Ye, Xiaohan Liao, Benyue Zhang, Miao Zhang, Zimu Zeng
Summary: This paper proposes a multilevel-based algorithm for hyperspectral image interpretation, which achieves semantic segmentation through multidimensional information fusion, and introduces a context interpretation module to improve detection performance.
COMPUTERS & ELECTRICAL ENGINEERING
(2024)
Article
Computer Science, Hardware & Architecture
Jianteng Xu, Qingguo Bai, Zhiwen Li, Lili Zhao
Summary: This study constructs two optimization models for the omnichannel closed-loop supply chain by leveraging the combined power of leader-follower game and mean-variance theories. The focus is on analyzing the performance of manufacturers who distribute products through physical stores. The results show that the risk-averse attitude of the physical store has a positive impact on the overall system profitability, but if the introduced physical store belongs to another firm, total profit experiences a decline.
COMPUTERS & ELECTRICAL ENGINEERING
(2024)
Article
Computer Science, Hardware & Architecture
Jiahao Xiong, Weihua Ou, Zhonghua Liu, Jianping Gou, Wenjun Xiao, Haitao Liu
Summary: This paper proposes a novel remote photoplethysmography framework, named GraphPhys, which utilizes graph neural network to extract physiological signals and introduces Average Relative GraphConv for the task of remote physiological signal measurement. Experimental results show that the methods based on GraphPhys significantly outperform the original methods.
COMPUTERS & ELECTRICAL ENGINEERING
(2024)
Article
Computer Science, Hardware & Architecture
Zhiyao Tong, Yiyi Hu, Chi Jiang, Yin Zhang
Summary: The rise of illicit activities involving blockchain digital currencies has become a growing concern. In order to prevent illegal activities, this study combines financial risk control with machine learning to identify and predict the risks of users with poor credit. Experimental results demonstrate high performance in user financial credit analysis.
COMPUTERS & ELECTRICAL ENGINEERING
(2024)
