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Dynamically Tunable Photonic Manipulation and Sensing in Graphene Array-Driven Bragg Gratings

iScience 2025年

作者： Xiaoling Chen Junjie Dong Dong Zhao Hao Ni Fanghua Liu Hao Wu Miaomiao Zhao Junfu Yang School of Electronic and Information Engineering Hubei University of Science and Technology Xianning 437100 China Optical Electromechanical and Intelligent Manufacturing Laboratory Hubei University of Science and Technology Xianning 437100 China State Key Laboratory of Mechanical Transmission for Advanced Equipment Chongqing University Chongqing 400044 China College of Mechanical and Vehicle Engineering Chongqing University Chongqing 400044 China

This study proposes a dynamically tunable optical sensor (DFBG-GA) based on the integration of a distributed feedback Bragg grating (DFBG) and a graphene array (GA). Through theoretical analysis and numerical simulations, we demonstrate that the transmission spectrum of DFBG-GA exhibits prominent resonance peaks, the linewidth and wavelength of which can be dynamically tuned by adjusting the graphene chemical potential, the number of Bragg grating periods, and the cavity thickness. Experimental results reveal that the structure achieves a refractive index sensitivity of up to 10,430 nm/RIU, with a strong linear response (R 2 > 0.98). Furthermore, the average figure of merit (Δλ/Δμ) for graphene chemical potential tuning reaches 9.5904 μm/eV, indicating efficient dynamic modulation capabilities. These findings suggest that this architecture has promising potential for applications in biosensing, environmental monitoring, and related fields.

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DHMM-Based Asynchronous Finite-Time Sliding Mode Control for Markovian Jumping Lur’e Systems

Research Square

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Research Square 2021年

作者： Nie, Rong Du, Wenli Li, Zhongmei Zhou, Zhao He, Shuping Key Laboratory of Smart Manufacturing in Energy Chemical Process East China University of Science and Technology Ministry of Education Shanghai200237 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education School of Electrical Engineering and Automation Anhui University Hefei230601 China School of Electronic Information and Electrical Engineering Chengdu University Chengdu610106 China

This paper is concerned with the asynchronous problem for a class of Markovian jumping Lur’s system (MJLSs) via sliding mode control (SMC) in continuous-time domain. Specifically, the discrete hidden Markovian model (DHMM) is employed to describe the nonsynchronization between the controller modes and the MJLSs modes. In particular, considering the nonlinearity of MJLSs, a novel Lur’e-integral-type sliding surface is constructed. In order to ensure the finite-time stability of sliding mode dynamics and the accessibility of the specified sliding surface, the asynchronous Lur’e-type SMC law of the detector mode is presented. Finally, an example of DC motor is provided to demonstrate the effectiveness of the proposed technique. © 2021, CC BY.

关键词： Sliding mode control

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Simulation Prediction and Experimental Research on Surface Morphology of Ball Head Milling Processing

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Materials (Basel, Switzerland) 2025年第10期18卷 2355页

作者： Youzheng Cui Xinmiao Li Minli Zheng Haijing Mu Chengxin Liu Dongyang Wang Bingyang Yan Qingwei Li Hui Jiang Fengjuan Wang Qingming Hu School of Mechanical and Electronic Engineering Qiqihar University Qiqihar 161006 China. Key Laboratory of Advanced Manufacturing and Intelligent Technology Ministry of Education Harbin University of Science and Technology Harbin 150080 China. QiQiHar Heavy CNC Equipment Co. Ltd. Qiqihar 161005 China. The Engineering Technology Research Center for Precision Manufacturing Equipment and Industrial Perception of Heilongjiang Province Qiqihar 161006 China. The Collaborative Innovation Center for Intelligent Manufacturing Equipment Industrialization Qiqihar 161006 China. School of Mechatronics Engineering Harbin Institute of Technology Harbin 150001 China.

With the aim of improving the machined surface quality of die steel, this paper takes Cr12MoV quenched die steel as the research object and proposes a ball head milling surface morphology prediction model that comprehensively considers influencing factors, including tool vibration, eccentricity, as well as deformation. By setting key parameters, such as line spacing, feed per tooth, cutting depth, and phase difference, the system analyzed the influence of each parameter on the residual height and surface roughness of the machined surface. High-speed milling experiments were conducted, and the surface morphology of the samples was observed and measured under a microscope. The simulation results show good agreement with the experimental data, with errors within 7%~15%, proving the accuracy of the model. This study can provide theoretical support and methodological guidance for surface quality control and processing parameter optimization in complex mold surface machining.

关键词： Cr12MoV Z-map algorithm ball-end milling surface morphology simulation tool vibration

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Architecture and key Technologies of Parallel Dispatching System for Railway Technical Operation Stations

Architecture and Key Technologies of Parallel Dispatching Sy...

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Complex Systems and intelligent Science (CSIS-IAC), International Annual Conference on

作者： Gang Xiong Donghu Yang Wei Xu Runmei Li Shichao Chen Bing Song Xisong Dong Fenghua Zhu State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China Signal and Communication Research Institute China Academy of Railway Science Corporation Limited Beijing China The School of Electronic and Information Engineering Beijing Jiaotong University Beijing China Beijing Huairou Academy of Parallel Sensing Beijing China Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Chinese Academy of Sciences Dongguan China

A railroad technical operation station is an extensive and complex operation system and a variety of random disturbing factors further increase the complexity of its command and dispatching. To enhance the railroad technical operation stations' intelligence, and integration level, and enhance its dispatching management ability of complex operation plans, based on the ACP approach, this paper designs the parallel dispatching system (PDS) architecture, and describes its key technologies including the artificial dispatching system (ADS), computing experiments, parallel execution, etc. On the basis of the artificial dispatching system, computational experiments can optimize various types of technical operations and the overall operational process, to achieve parallel execution between the actual dispatching system and ADS. PDS can provide more efficient and intelligent command and dispatching solutions for railroad technical work stations, and promote the development of the railroad transportation industry in the direction of higher quality and efficiency.

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Graph-Order Optimization Algorithm Based on Equal-in-Space Distance Model for High-Resolution Image Matting

Graph-Order Optimization Algorithm Based on Equal-in-Space D...

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IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS)

作者： Fujian Feng Han Huang Yihui Liang School of Software Engineering South China University of Technology Guangzhou China School of Data Science and Information Engineering Guizhou Minzu University Guiyang China Key Laboratory of Big Data and Intelligent Robot South China University of Technology Ministry of Education Guangzhou China School of Computer Science Zhongshan Institute University of Electronic Science and Technology of China Zhongshan China

ISBN: (纸本)9781665441506

Image matting is an essential image processing technology. optimized-based image matting methods can significantly improve the alpha matte quality of high-resolution images. However, the local information of the foreground may be similar to the background, which causes the inversion problem of the alpha matte in the single-point optimized. In this paper, we propose an image matting mathematical model of the equal-in-space distance. The model transforms the high-resolution image matting problem into several small-scale combinatorial optimization problems according to the similarity among pixel features. Inspired by spanning tree, we propose a graph-order optimization strategy, which generates the optimization sequence of small-scale optimization problems according to the edge weight among graph nodes. In addition, we designed a graph-order optimization algorithm based on optimized information transfer to solve each node in the graph. Experimental results show that the proposed model solves the alpha matte inversion problem of single-point optimization matting. Besides, the proposed algorithm outperforms the state-of-the-art optimization algorithms for the high-resolution image matting problem.

关键词： Cloud computing Image processing Image edge detection Conferences Computational modeling Transforms Information processing

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Remaining useful life prediction method of centrifugal pump rolling bearings based on digital twins

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Scientific reports 2025年第1期15卷 19513页

作者： ShengWen Zhou Li Zhang Xiaoming Yang Ruiping Luo BaiGang Du Wenhui Zeng School of Mechanical and Electrical Engineering Hubei Polytechnic University Huangshi Hubei 435003 People's Republic of China. Hubei Key Laboratory of Intelligent Convey Technology and Device Hubei Polytechnic University) Huangshi Hubei 435003 People's Republic of China. School of Intelligent Manufacturing Jingchu University of Technology Jingmen 448000 People's Republic of China. zhangli@***. School of Intelligent Manufacturing Jingchu University of Technology Jingmen 448000 People's Republic of China. School of Mechanical and Electronic Engineering Wuhan University of Technology Wuhan 430070 People's Republic of China.

To address challenges in extracting health indicator (HI) curves and making accurate predictions with limited datasets in mechanical system prognostics, this study proposes a digital twin (DT)-driven framework for estimating remaining useful life (RUL). To minimize the deviation between simulated and measured data, we introduce a finite element model correction method using a stacked autoencoder-long short-term memory (SAE-LSTM) network. To reduce reliance on manual expertise and prior knowledge, the LSTM network is used to directly extract features from the frequency-domain vibration data and construct initial HI curves representing equipment performance degradation. Finally, this study employs a relevance vector machine (RVM) model to predict the HI curve trend by integrating failure criteria with twin data to establish the failure threshold. Experimental validation using the PHM2012 public dataset showed that the DT-based RUL prediction reduces the average relative error by 5.4% compared with traditional RUL prediction methods.

关键词： Centrifugal pump Digital twins Health indicators Remaining useful life Rolling bearings

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35-2:Invited Paper:High entropy metal oxides as dielectric layers prepared by spin-coating and application in thin film transistors

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SID Symposium Digest of Technical Papers 2024年第S1期55卷 286-286页

作者： Zhihao Liang Weijing Wu Xiao Fu Honglong Ning Dongxiang Luo Tian Qiu Zhao Yang Guoping Su Rihui Yao Junbiao Peng State Key Laboratory of Luminescent Materials and Devices School of Materials Sciences and Engineering South China University of Technology 510640 Guangzhou China School of Chemistry and Chemical Engineering/Institute of Clean Energy and Materials/Guangzhou Key Laboratory for Clean Energy and Materials Guangzhou University Guangzhou China 510006 Department of Intelligent Manufacturing Wuyi University Jiangmen China 529020 State Key Laboratory of Advanced Materials and Electronic Components Fenghua Electronic Industrial Park No. 18 Fenghua Road Zhaoqing China 526020

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First-principles study of Bi3+-related luminescence and traps in the perovskites CaMO3(M=Zr,Sn,Ti)

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Physical Review B 2021年第7期103卷 075109-075109页

作者： Bibo Lou Jun Wen Jiajia Cai Yau-Yuen Yeung Min Yin Chang-Kui Duan Hefei National Laboratory for Physical Sciences at the Microscale and School of Physical Sciences University of Science and Technology of China Hefei 230026 China CAS Key Laboratory of Strongly-Coupled Quantum Matter Physics University of Science and Technology of China Hefei 230026 China School of Electronic Engineering and Intelligent Manufacturing Anqing Normal University Anqing 246133 China Department of Science and Environmental Studies the Education University of Hong Kong 10 Lo Ping Road Tai Po NT Hong Kong China

The Bi3+ ion is an excellent activator and sensitizer for luminescent materials. However, the complexity and variety of the Bi3+-related transitions bring a great challenge to the study of luminescence processes of Bi3+ doped materials. Here, we presented first-principles calculations to determine the excitation, relaxation, and emission processes of Bi3+ activated materials by using CaMO3:Bi3+(M=Zr,Sn,Ti) as prototype systems, where Bi3+ substitutes Ca2+ in similar coordinate environments but presents tremendously different excitation and emission spectra. The equilibrium geometric structures of excited states were calculated based on density-functional theory (DFT), with appropriately constraining the electron occupation and including the spin-orbit couplings. Then the hybrid DFT calculations were carried out to obtain the electronic structures and defect levels. Different metastable excited states and Stokes shift were obtained for M=Zr, Sn, and Ti, which explain the remarkable differences in the measured emission spectra. The energies of three types of transitions are obtained from the calculations, including intra-Bi3+ bands transition and charge transfer between Bi3+ ions and the band edges. This leads to a clear and reliable interpretation of all the excitation spectra in the series. The method and its applications to CaMO3:Bi3+ show the potential of first-principles calculations in analyzing and predicting luminescent properties of Bi3+ activated materials.

关键词： Defects Luminescence Perovskites First-principles calculations

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Portable Raspberry Pi Based Spectrometer for Rapid On-Site Spectral Testing

SSRN

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SSRN 2022年

作者： Zhu, Lin Yang, Shuwei Huang, Huachuan Yan, Keding Jiang, Zhilong He, Xiaoliang Kong, Yan Liu, Cheng Wang, Shouyu Computational Optics Laboratory School of Sciences Jiangnan University Jiangsu Wuxi214122 China School of Intelligent Science and Information Engineering Xi’an Peihua University Shaanxi Xi’an710125 China School of Manufacture Science and Engineering Key Laboratory of Testing Technology for Manufacturing Process Ministry of Education Southwest University of Science and Technology Sichuan Mianyang621010 China School of Electronic Information Engineering Xi’an Technological University Shaanxi Xi’an710032 China Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Shanghai201800 China OptiX+ Laboratory Jiangsu Wuxi214000 China

We designed a portable Raspberry Pi based spectrometer, which mainly consists of a white LED acting as the wide spectrum source, a reflection grating for light dispersion and a CMOS imaging chip aiming at spectral recording. All the optical elements and Raspberry Pi were integrated by 3-D printing structures with a size of 118 mm × 92 mm × 84 mm, and a home-built software was also designed for spectral recording, calibration, analysis and display implemented with a touch LCD. Additionally, the portable Raspberry Pi based spectrometer was equipped with internal battery, thus well supporting on-site applications. Tested by a series of verifications and applications, the portable Raspberry Pi based spectrometer could reach the spectral resolution of 0.056 nm/pixel within the visible band, and it could provide spectral detection in high accuracy. Therefore, it can be used in rapid on-site spectral testing in various fields. © 2022, The Authors. All rights reserved.

关键词： Spectrometers

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A novel starch-based film integrated with Nisin-A and curcumin nanoemulsion for real-time monitoring of salmon freshness

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Food chemistry 2025年 489卷 145041页

作者： Jiahao Ren Yiting Fan Ruoxin Chen Yifang Cao Xinglong Xiao Fengsong Liu School of Food Science and Engineering South China University of Technology Guangzhou 510640 China. School of Food Science and Engineering South China University of Technology Guangzhou 510640 China. Electronic address: fexxl@***. Guangxi Key Laboratory of Clean Pulp & Papermaking and Pollution Control School of Light Industry and Food Engineering Guangxi University Nanning 530004 China Guangdong Provincial Key Laboratory of Intelligent Food Manufacturing Foshan University Foshan 528225 China. Electronic address: liufengsong@***.

Freshness deterioration of salmon during cold storage poses significant safety concerns, highlighting the need for real-time monitoring strategies. Herein, a novel starch-pectin film incorporating Nisin-A and curcumin nano-emulsion (SP-NC film) was developed for real-time monitoring of salmon freshness. FTIR, XRD, and molecular dynamics simulations confirmed strong molecular compatibility and stable hydrogen bonding among film components. The SP-NC film exhibited high mechanical strength, with a tensile strength of 4.51 MPa and elongation at break of 43.58 %, as well as outstanding barrier properties reflected by low water vapor permeability (6.82 × 10 g·mm·s·Pa) and oxygen permeability (6.10 × 10 g·mm·mm·s). Under blue light, the SP-NC film reduced S. aureus and Salmonella survival rates to 1.85 % and 3.79 %, respectively. When applied to 4 °C refrigerated salmon, the SP-NC film extended shelf life from 4 to 8 days and provided visual spoilage indication. Overall, this study offers a valuable reference for the design of intelligent food packaging.

关键词： Antibacterial activity Curcumin nano-emulsion intelligent food packaging Nisin-a Salmon preservation Starch-based film

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