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Article ; Online: Modal wavenumber extraction by finite difference vertical linear array data.

Li, Xiaolei / Wang, Pengyu

JASA express letters

2022 Volume 1, Issue 12, Page(s) 126002

Abstract: In shallow water, modal wavenumbers are useful for many applications. This paper presents an approach for wavenumber estimation of range-independent waveguide based on pressure and its finite difference (FD) data matrices built on the vertical linear ... ...

Abstract	In shallow water, modal wavenumbers are useful for many applications. This paper presents an approach for wavenumber estimation of range-independent waveguide based on pressure and its finite difference (FD) data matrices built on the vertical linear array (VLA) data. The core of this method is that wavenumber information is expressed in the singular value decomposition (SVD) of the FD data matrix. Therefore, wavenumbers can be estimated directly by combining the SVDs of the pressure data matrix and FD data matrix. The method is validated on simulated data. The dependence of the proposed method on relevant parameters is discussed.
Language	English
Publishing date	2022-09-26
Publishing country	United States
Document type	Journal Article
ISSN	2691-1191
ISSN (online)	2691-1191
DOI	10.1121/10.0006960
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: High-resolution modal wavenumber estimation in range-dependent shallow water waveguides using vertical line arrays.

Song, Wenhua / Wang, Pengyu

The Journal of the Acoustical Society of America

2022 Volume 152, Issue 1, Page(s) 691

Abstract: Estimation of modal wavenumbers is important for inference of geoacoustic properties and matched field processing in shallow water waveguides. However, it is challenging in a range-dependent environment, because modal content varies locally in response ... ...

Abstract	Estimation of modal wavenumbers is important for inference of geoacoustic properties and matched field processing in shallow water waveguides. However, it is challenging in a range-dependent environment, because modal content varies locally in response to changes in the environment. Moreover, the scales of the spatial variations in the waveguide may be on the same order as the range aperture required for resolvability of the individual modes. To this end, high-resolution (HR) wavenumber estimation methods have been widely used. In this paper, the matrix pencil and MUSIC algorithms are generalized to geometry involving a synthetic horizontal aperture (SHA) formed by a towed acoustic source and a fixed full-spanning vertical line array (VLA). The performance of the proposed methods is evaluated by simulated data in a noisy shallow water environment. Numerical results show that, when compared with the previous methods, the proposed methods significantly outperform the previous methods in terms of aperture requirement.
Language	English
Publishing date	2022-06-01
Publishing country	United States
Document type	Journal Article
ZDB-ID	219231-7
ISSN	1520-8524 ; 0001-4966
ISSN (online)	1520-8524
ISSN	0001-4966
DOI	10.1121/10.0012187
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Article ; Online: Method for Estimating Road Impulse Ahead of Vehicles in Urban Environment with Microelectromechanical System Three-Dimensional Sensor.

Zhao, Shijie / Wang, Minghao / Wang, Pengyu / Wang, Yang / Guo, Konghui

Sensors (Basel, Switzerland)

2024 Volume 24, Issue 4

Abstract: Most automated vehicles (AVs) are equipped with abundant sensors, which enable AVs to improve ride comfort by sensing road elevation, such as speed bumps. This paper proposes a method for estimating the road impulse features ahead of vehicles in urban ... ...

Abstract	Most automated vehicles (AVs) are equipped with abundant sensors, which enable AVs to improve ride comfort by sensing road elevation, such as speed bumps. This paper proposes a method for estimating the road impulse features ahead of vehicles in urban environments with microelectromechanical system (MEMS) light detection and ranging (LiDAR). The proposed method deploys a real-time estimation of the vehicle pose to solve the problem of sparse sampling of the LiDAR. Considering the LiDAR error model, the proposed method builds the grid height measurement model by maximum likelihood estimation. Moreover, it incorporates height measurements with the LiDAR error model by the Kalman filter and introduces motion uncertainty to form an elevation weight method by confidence eclipse. In addition, a gate strategy based on the Mahalanobis distance is integrated to handle the sharp changes in elevation. The proposed method is tested in the urban environment. The results demonstrate the effectiveness of our method.
Language	English
Publishing date	2024-02-11
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s24041192
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Article ; Online: Birch WRKY transcription factor, BpWRKY32, confers salt tolerance by mediating stomatal closing, proline accumulation, and reactive oxygen species scavenging.

Liu, Zhujun / Wang, Pengyu / Wang, Zhibo / Wang, Chao / Wang, Yucheng

Plant physiology and biochemistry : PPB

2024 Volume 210, Page(s) 108599

Abstract: Plant WRKY transcription factors (TFs) play important roles in abiotic stress responses. However, how WRKY facilitate physiological changes to confer salt tolerance still needs to be studied. Here, we identified a WRKY TF from birch (Betula platyphylla ... ...

Abstract	Plant WRKY transcription factors (TFs) play important roles in abiotic stress responses. However, how WRKY facilitate physiological changes to confer salt tolerance still needs to be studied. Here, we identified a WRKY TF from birch (Betula platyphylla Suk), BpWRKY32, which is significantly (P < 0.05) induced by salt stress. BpWRKY32 binds to W-box motif and is located in the nucleus. Under salt stress conditions, fresh weights (FW) of OE lines (BpWRKY32 overexpression lines) are increased by 66.36% than that of WT, while FW of knockout of BpWRKY32 (bpwrky32) lines are reduced by 39.49% compared with WT. BpWRKY32 regulates the expression of BpRHC1, BpNRT1, and BpMYB61 to reduce stomatal, and width-length ratio of the stomatal aperture in OE lines are reduced by 46.23% and 64.72% compared with in WT and bpwrky32 lines. BpWRKY32 induces P5CS expression, but inhibits P5CDH expression, leading to the proline content in OE lines are increased by 33.41% and 97.58% compared with WT and bpwrky32 lines. Additionally, BpWRKY32 regulates genes encoding SOD and POD family members, which correspondingly increases the activities of SOD and POD. These results suggested that BpWRKY32 regulates target genes to reduce the water loss rate, enhance the osmotic potential, and reduce the ROS accumulation, leading to improved salt tolerance.
MeSH term(s)	Betula/genetics ; Betula/metabolism ; Gene Expression Regulation, Plant ; Plant Proteins/genetics ; Plant Proteins/metabolism ; Plant Stomata/physiology ; Plant Stomata/genetics ; Plants, Genetically Modified ; Proline/metabolism ; Reactive Oxygen Species/metabolism ; Salt Tolerance/genetics ; Transcription Factors/genetics ; Transcription Factors/metabolism
Chemical Substances	Plant Proteins ; Proline (9DLQ4CIU6V) ; Reactive Oxygen Species ; Transcription Factors
Language	English
Publishing date	2024-04-03
Publishing country	France
Document type	Journal Article
ZDB-ID	742978-2
ISSN	1873-2690 ; 0981-9428
ISSN (online)	1873-2690
ISSN	0981-9428
DOI	10.1016/j.plaphy.2024.108599
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Low-carbon energy transition multi-agent network evolutionary under carbon trading scheme.

Wei, Zijie / Wang, Heng / Fang, Tao / Han, Zhixin / Wang, Pengyu

PloS one

2024 Volume 19, Issue 4, Page(s) e0300202

Abstract: Transitioning to low-carbon energy is key for reaching carbon neutrality and modernizing our energy systems, but it presents significant cost-related challenges for energy businesses. To foster optimal outcomes, this paper develops a game model including ...

Abstract	Transitioning to low-carbon energy is key for reaching carbon neutrality and modernizing our energy systems, but it presents significant cost-related challenges for energy businesses. To foster optimal outcomes, this paper develops a game model including power generators, high-energy businesses, and consumers in the carbon trading framework. The model explores how different entities evolve their low-carbon strategies under social learning influence to optimize utility. Stability analysis of strategy and simulation experiments reveal the following findings: (1) Greater carbon quotas reduce power generators' low-carbon transition willingness while high-energy-consuming enterprises and consumers remain unchanged. (2) Higher prices for low-carbon products offered by high-energy-consuming enterprises boost low-carbon transition motivation across all parties. (3) Increased green premiums enhance revenue for all parties but are constrained by policy and carbon pricing. (4) Both direct and indirect increases in carbon emissions negatively impact the revenue and utility for all stakeholders. (5) Increasing social learning effect fosters a shift towards low-carbon strategies, accelerating the attainment of game equilibrium, and enhancing market stability and sustainability. This research provides decision support for carbon trading policy design and low-carbon transition of energy enterprises.
MeSH term(s)	Carbon ; Humans ; Commerce
Chemical Substances	Carbon (7440-44-0)
Language	English
Publishing date	2024-04-25
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0300202
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Book ; Online: The Uncertainty-based Retrieval Framework for Ancient Chinese CWS and POS

Wang, Pengyu / Ren, Zhichen

2023

Abstract: Automatic analysis for modern Chinese has greatly improved the accuracy of text mining in related fields, but the study of ancient Chinese is still relatively rare. Ancient text division and lexical annotation are important parts of classical literature ... ...

Abstract	Automatic analysis for modern Chinese has greatly improved the accuracy of text mining in related fields, but the study of ancient Chinese is still relatively rare. Ancient text division and lexical annotation are important parts of classical literature comprehension, and previous studies have tried to construct auxiliary dictionary and other fused knowledge to improve the performance. In this paper, we propose a framework for ancient Chinese Word Segmentation and Part-of-Speech Tagging that makes a twofold effort: on the one hand, we try to capture the wordhood semantics; on the other hand, we re-predict the uncertain samples of baseline model by introducing external knowledge. The performance of our architecture outperforms pre-trained BERT with CRF and existing tools such as Jiayan.
Keywords	Computer Science - Computation and Language
Publishing date	2023-10-12
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: RVAE-EM

Wang, Pengyu / Li, Xiaofei

Generative speech dereverberation based on recurrent variational auto-encoder and convolutive transfer function

2023

Abstract: In indoor scenes, reverberation is a crucial factor in degrading the perceived quality and intelligibility of speech. In this work, we propose a generative dereverberation method. Our approach is based on a probabilistic model utilizing a recurrent ... ...

Abstract	In indoor scenes, reverberation is a crucial factor in degrading the perceived quality and intelligibility of speech. In this work, we propose a generative dereverberation method. Our approach is based on a probabilistic model utilizing a recurrent variational auto-encoder (RVAE) network and the convolutive transfer function (CTF) approximation. Different from most previous approaches, the output of our RVAE serves as the prior of the clean speech. And our target is the maximum a posteriori (MAP) estimation of clean speech, which is achieved iteratively through the expectation maximization (EM) algorithm. The proposed method integrates the capabilities of network-based speech prior modelling and CTF-based observation modelling. Experiments on single-channel speech dereverberation show that the proposed generative method noticeably outperforms the advanced discriminative networks. Comment: Submitted to ICASSP2024
Keywords	Electrical Engineering and Systems Science - Audio and Speech Processing ; Computer Science - Sound
Subject code	410
Publishing date	2023-09-15
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Computational modeling of seepage in a fractured rock mass during tunnel excavation: a case study from Liaoning Province, China

Yang, Tianjiao / Wang, Pengyu / Wang, Shuhong

Hydrogeol J. 2023 Mar., v. 31, no. 2 p.401-416

2023

Abstract: The research team’s developed GeoSMA-3D (three-dimensional geotechnical structure and model analysis) program was used to enable the visualization analysis of tunnel engineering by determining information about the key blocks and the deterministic ... ...

Title translation	Modélisation informatique de l’infiltration dans une masse rocheuse fracturée pendant l’excavation d’un tunnel: une étude de cas dans la province de Liaoning, Chine Modelado computacional de la infiltración en un macizo rocoso fracturado durante la excavación de un túnel: un estudio de caso en la provincia de Liaoning, China 隧道开挖过程中裂隙岩体渗流计算模型:以中国辽宁省为例 Modelagem computacional da infiltração em um maciço rochoso fraturado durante a escavação de túnel: um estudo de caso da província de Liaoning, China
Abstract	The research team’s developed GeoSMA-3D (three-dimensional geotechnical structure and model analysis) program was used to enable the visualization analysis of tunnel engineering by determining information about the key blocks and the deterministic fracture surfaces in Diaoyutai Tunnel in Liaoning Province, China. The seepage characteristics of rough fractures with varied intersecting angles were investigated under excavation disturbance, and the effective permeability of the surrounding rock blocks was estimated. Three-dimensional morphology scanning and a point cloud splicing algorithm were used to characterize the geometric properties of the rough fractures quantitatively. The numerical model of rough fractures with varied intersecting angles was investigated via COMSOL Multiphysics software. Besides this, the seepage characteristics (as flow velocity distribution and the water pressure evolution) in the rough fractures were simulated and analyzed. The simulation results assisted in understanding the evolution of seepage characteristics in rough fractures with varied intersecting angles under different stresses. In this study, for rock matrix, the anti-analysis technique was employed to import the kriging method into MATLAB based on the surface permeability of the rock blocks. Furthermore, the cuboid model developed by COMSOL™ and MATLAB was used to characterize the internal permeability of the rock blocks to obtain the effective permeability by using the obtained permeability spatial distribution. In this context, the total flow through the nonuniform area was estimated and the geometric mean was proposed as an appropriate measure. Moreover, the developed program provides a nondestructive method to estimate the effective permeability of large rock samples under excavation disturbance.
Keywords	algorithms ; case studies ; computer software ; data collection ; evolution ; geometry ; kriging ; mathematical models ; nondestructive methods ; permeability ; seepage ; China
Language	English
Dates of publication	2023-03
Size	p. 401-416.
Publishing place	Springer Berlin Heidelberg
Document type	Article ; Online
ZDB-ID	1227482-3
ISSN	0941-2816 ; 1431-2174
ISSN	0941-2816 ; 1431-2174
DOI	10.1007/s10040-023-02598-6
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Modal wavenumber estimation by combining physical informed neural network.

Li, Xiaolei / Wang, Pengyu / Song, Wenhua / Gao, Wei

The Journal of the Acoustical Society of America

2023 Volume 153, Issue 5, Page(s) 2637

Abstract: Estimation of modal wavenumbers is important for inference of geoacoustic properties and data-driven matched field processing in shallow water waveguides. This paper introduces a deep neural network called combining physical informed neural network ( ... ...

Abstract	Estimation of modal wavenumbers is important for inference of geoacoustic properties and data-driven matched field processing in shallow water waveguides. This paper introduces a deep neural network called combining physical informed neural network (CPINN) for modal wavenumber estimation using a vertical linear array (VLA). Note that the sound field recorded by a VLA can be expressed as a linear superposition of finite modal depth functions, and the differential equations satisfied by the modal depth functions are related to the corresponding modal wavenumbers. CPINN can estimate the modal wavenumbers by introducing the proxies of the modal depth functions and constraining them to satisfy the corresponding differential equations. The performance of the CPINN is evaluated by simulated data in a noisy shallow water environment. Numerical results show that, when compared with the previous methods, CPINN does not need to know the exact horizontal distance between the sound source and the VLA. Moreover, CPINN can estimate the modal wavenumbers at the VLA position in the case where the range segment traversed by the source, i.e., the aperture in the range direction, is smaller than the maximum modal cycle distance and in a range-dependent waveguide.
Language	English
Publishing date	2023-05-02
Publishing country	United States
Document type	Journal Article
ZDB-ID	219231-7
ISSN	1520-8524 ; 0001-4966
ISSN (online)	1520-8524
ISSN	0001-4966
DOI	10.1121/10.0019305
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Article ; Online: The "Gesture" teaching method in microvascular decompression surgery for the trigeminal nerve.

Zhang, Xiaojun / Zhang, Zhilong / Wang, Pengyu / Wang, Zhong

Asian journal of surgery

2023 Volume 46, Issue 12, Page(s) 5480–5481

MeSH term(s)	Humans ; Microvascular Decompression Surgery ; Trigeminal Nerve/surgery ; Treatment Outcome ; Trigeminal Neuralgia/surgery
Language	English
Publishing date	2023-08-16
Publishing country	Netherlands
Document type	Letter
ZDB-ID	1068461-x
ISSN	0219-3108 ; 1015-9584
ISSN (online)	0219-3108
ISSN	1015-9584
DOI	10.1016/j.asjsur.2023.07.122
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