Article
Computer Science, Information Systems
Chaofeng Lan, Huan Chen, Lei Zhang, Rui Guo, Chuang Han, Dajun Luo
Summary: This paper proposes an improved genetic MUSIC algorithm (GA-MUSIC) by fusing the MUSIC algorithm and genetic algorithm to address the problems of poor real-time capability, a large number of traversals, and long operation time of DOA estimation. The three operators of selection, crossover, and variation of the genetic algorithm are also enhanced. The simulation results demonstrate that the GA-MUSIC algorithm outperforms others in terms of operational performance, reducing iterative computation, ensuring accuracy, and achieving high search success rates above 95%.
Article
Psychology, Multidisciplinary
Yang Li
Summary: The study aims to explore the teaching mode of instrumental music teaching in normal college and establish a more systematic and standardized education model. Based on Orff's music teaching method, a music recommendation model is designed to provide students with a positive and happy learning environment, offering music materials that meet their personal preferences and performance level.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Acoustics
Maoyou Ye, Xiaoan Yan, Ning Chen, Minping Jia
Summary: This research proposes a new intelligent fault diagnosis method for rolling bearing based on variational mode extraction (VME) and an improved one-dimensional convolutional neural network (I-1DCNN), aiming to efficiently learn bearing fault information and improve diagnosis accuracy.
Article
Physics, Multidisciplinary
Dylan Lewis, Asmae Benhemou, Natasha Feinstein, Leonardo Banchi, Sougato Bose
Summary: Research has shown that optimal spatial search can be achieved in one-dimensional spin chains with long-range interactions that decay with distance. Near unit fidelity can be achieved for alpha values close to 1, with a continuous transition from regions where optimal spatial search exists to regions where it does not. Numerical simulations demonstrate the robustness of spatial search to dephasing noise, suggesting that experimental demonstration of optimal spatial search is feasible with alpha values less than or around 1.2.
PHYSICAL REVIEW LETTERS
(2021)
Article
Chemistry, Analytical
Bong-seok Kim, Youngseok Jin, Jonghun Lee, Sangdong Kim
Summary: This paper introduces a high-efficiency super-resolution FMCW radar algorithm based on FFT, which adaptively selects the number of input samples for distance estimation of targets and achieves similar performance to the conventional MUSIC algorithm while significantly reducing complexity.
Article
Engineering, Mechanical
Michael Kwarta, Matthew S. Allen
Summary: This work introduces a new technique for nonlinear system identification using near resonant steady-state harmonically excited vibration measurements. The algorithm is based on a previously proposed formula and can estimate nonlinear modes and damping as a function of amplitude. The method requires accurate identification of linear modes and assumes that the nonlinear normal mode shape does not change significantly with response amplitude.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Computer Science, Information Systems
Yi Lou, Xinghao Qu, Yinheng Lu, Gang Qiao
Summary: The study presents a novel quaternion-based DOA algorithm for coherent underwater sources at low SNR, which efficiently estimates the direction of arrival by utilizing statistical information and the propagator method. The method demonstrates robust performance and high resolution without requiring pair matching between estimated azimuth and elevation angles.
Article
Geochemistry & Geophysics
Aifei Liu, Shengguo Shi, Xinyi Wang
Summary: In this study, a DOA estimation method named ANE MUSIC is proposed to overcome the problem of non-identity covariance matrix for underwater acoustic vector sensors (AVSs). The method eliminates ambient noise by transforming the covariance matrix and employs real-valued singular value decomposition (SVD) for DOA estimation. Compared to the conventional MUSIC method, the ANE MUSIC method does not require prior knowledge of the noise covariance matrix and achieves better performance with reduced computational complexity.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Computer Science, Theory & Methods
Ping Liu, Habib Ammari
Summary: In this paper, a new technique is developed to improve the computational resolution limits in two-dimensional super-resolution problems and a new idea for developing two-dimensional super-resolution algorithms is presented. The main contributions include: (1) Improved resolution estimates for number detection and location recovery in two-dimensional super-resolution problems. (2) Stability result for a sparsity-promoting algorithm in two-dimensional super-resolution problems, indicating its optimal performance. (3) Proposal of a new coordinate-combination-based model order detection algorithm for two-dimensional DOA estimation with demonstrated optimal performance. (4) Proposal of a new coordinate-combination-based MUSIC algorithm for super-resolving sources in two-dimensional DOA estimation with excellent performance and advantages over conventional DOA algorithms.
FOUNDATIONS OF COMPUTATIONAL MATHEMATICS
(2023)
Article
Chemistry, Analytical
Jiajun He, Ping Wu, Yizhi Tong, Xujie Zhang, Meizhen Lei, Jinfeng Gao
Summary: This paper proposes a novel bearing fault diagnosis method using an improved multi-scale convolutional neural network (IMSCNN) to extract multi-scale features and mitigate the effect of noise in vibration signals. Experimental results show the superiority of the proposed method compared to other related methods.
Article
Construction & Building Technology
Yuheng Wang, Xiaofeng Wang, Guojun Liu, Yizhong Tan, Quanping Zheng, Yushuai Zhao, Yingying Zhang
Summary: This paper studied the influence of concrete strength, aggregate size, and steel fiber content on the spalling strength of concrete. It was found that steel fiber reinforced concrete significantly improves the spalling strength of concrete.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Engineering, Multidisciplinary
Yunqiang Zhang, Guoquan Ren, Dinghai Wu, Huaiguang Wang
Summary: This paper proposes a novel fractal dimension estimation method based on VMD, which accurately estimates fractal dimensions through multi-dimensional volume calculation and least square method, further studying the fractal characteristics of vibration signals from rolling bearings.
Article
Chemistry, Physical
Ruixuan Zhu, Xiaohang Fang, Chao Xu, Majie Zhao, Huangwei Zhang, Martin Davy
Summary: In this study, one-dimensional detonations in ammonia/hydrogen-air mixtures were numerically investigated. Pulsating instabilities and periodic coupling and decoupling of shock waves were observed. The oscillatory mode of detonation was determined by the ratio of driver pressure and initial pressure. The effects of hydrogen dilution and mixture equivalence ratio on pulsating detonations were also examined.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Acoustics
Dajun Sun, Ke Zhang, Jidan Mei, Junjie Shi, Yunfei Lv
Summary: This study proposes a method for estimating the three-dimensional (3-D) direction of arrival (DOA) of low frequency line spectra using an arbitrary tetrahedral array on a moving underwater platform. The algorithm solves overdetermined equations to obtain the azimuth and elevation of the line spectra, and enhances the accuracy of DOA estimation. Simulations and sea trials verify the feasibility of the algorithm, and several factors are analyzed that influence the algorithm, including the DOA of the source, frequency, SNR, sensor position error, and phase error. The study shows that the tetrahedral array is suitable for various underwater mobile platforms.
Article
Chemistry, Multidisciplinary
Sayed Elshahat, Israa Abood, Mohamed Saleh M. Esmail, Zhengbiao Ouyang, Cuicui Lu
Summary: The study introduces a novel photonic crystal mirror heterostructure with high-quality factor (Q) and strong sensing ability and performance. It shows a defect mode at the interface with high Q-factor and enhancement of light-matter interaction, suitable for optical sensing, filtering, and switching applications. The introduction of an electro-optical polymer layer at the interface can further tune the defect mode for higher spatial pulse compression and electro-optical sensitivity.
