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SSRN 2023年

作者： Sang, Shengbo Tan, Qiuyun Jiang, Jiaolin Wu, Kaile Xiao, Pengli Zhao, Dong Guo, Xing Yang, Zhuoqing Dong, Xiushan Ge, Yang Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception College of Information and Computer Taiyuan University of Technology Taiyuan030024 China Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan University of Technology Taiyuan030024 China Shanghai200240 China Shanxi Academy of Medical Sciences China Shanxi Research Institute of 6D Artificial Intelligence Biomedical Science Taiyuan030024 China

High sensitivity is key to expand the range of bio-detection, especially in realizing biological detection on single molecular level. Herein, we introduce a novel magnetorheological membrane with enhanced magneto-mechanical effect into the biosensor. Specifically, we made the magnetorheological composite PDMS film (MREF) strengthened by magnetostrictive particles (MSP), and the anisotropic TbDyFe-PDMS can be magnetically deformed to 90 °with 5.8 emu/g, which possesses an initial tensile modulus 55% higher than isotropic. In particular, the modified MR effect equations were proposed considering magnetic dipole interaction and nonlinear magnetostrictive pre-strain of MSP. Such formulae indicate that the enhanced MR effect of MSP-MREF is greatly determined by Ms, remanence, and the flux linkage-like structure. In addition, finite element simulations were carried out to validate and complementarily demonstrate the nonlinear magneto-mechanical behaviors of MSP-MREF theoretically. Finally, the biosensor based on MSP-MREF was fabricated to detect the low concentrations of human serum albumin (HSA), and its sensitivity is around 4 times that of the conventional biosensor. Furthermore, it exhibits high reliability in detecting HSA in real human urine samples, making it the ideal candidate as a practical and effective way for the detection of biomolecules at low concentrations in the future. © 2023, The Authors. All rights reserved.

关键词： Finite element method

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A hybrid-integrated external cavity laser with ultra-wide wavelength tuning range and high side-mode suppression

A hybrid-integrated external cavity laser with ultra-wide wa...

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Optical Fiber Communication (OFC) Conference

作者： Yuyao Guo Xinhang Li Weihan Xu Chuxin Liu Minhui Jin Liangjun Lu Jingya Xie Anton Stroganov Jianping Chen Linjie Zhou State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Institute for Advanced Communication and Data Science Shanghai Jiao Tong University Shanghai China SJTU-Pinghu Institute of Intelligent Optoelectronics Pinghu China Terahertz Technology Innovation Research Institute Terahertz Spectrum and Imaging Technology Cooperative Innovation Center Shanghai Key Lab of Modern Optical System University of Shanghai for Science and Technology Shanghai China LIGENTEC SA EPFL Innovation Park Bâtiment L Ecublens Switzerland

We present a III-V/Si 3 N 4 hybrid-integrated tunable laser. The laser shows a record of ~170-nm tuning range with a side mode suppression ratio above 64 dB and an intrinsic linewidth below 2.8 kHz. © 2022 The A... 详细信息

ISBN: (纸本)9781557524669

关键词： Performance evaluation Couplings Laser modes Optics Optical fiber communication Broadband communication Laser tuning

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Phase-gain Dual-parametric Spectrum Measurement in Chaotic Brillouin Optical Correlation Domain Analysis

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IEEE Sensors Journal 2025年第12期25卷 21658-21664页

作者： Chen, Jing Wang, Yahui Ma, Jinglian Huang, Haochen Zhang, Mingjiang Taiyuan University of Technology Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan030024 China Taiyuan University of Technology College of Physics and Optoelectronics Taiyuan China Shanxi-Zheda Institute of Advanced Materials and Chemical Engineering Taiyuan030024 China

In this paper, the chaotic Brillouin phase-gain dual-parametric spectrum (BDS) is measured for the first time, which can realize high-accuracy and large-range dynamic strain demodulation in chaotic Brillouin optical correlation domain analysis (CBOCDA). The phase of the chaotic probe wave is measured by a Sagnac interferometer (SI) combined with an optical bandpass filter (OBPF) and a beat frequency locking technique. The Brillouin gain spectrum (BGS), Brillouin phase-shift spectrum (BPS), and BDS are measured in the chaotic BOCDA system through both simulation and experiment, and the feasibility of their demodulation with high-accuracy and large-range dynamic strain is verified. The chaotic BPS exhibits good linearity at the Brillouin frequency shift (BFS) and can be used to demodulate high-accuracy tiny strains. The measurement error of a 1 μΕ strain is only 0.0446 μΕ. The linear range of the chaotic BDS is extended to 150 MHz, and more than 10 mΕ dynamic strain measurements can be enabled by incorporating the slope-assisted method. © 2001-2012 IEEE.

关键词： Ultraviolet spectroscopy

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AU Nanoparticles Decorated Gan Nanoflowers with Enhanced Nh3 Sensing Performance at Room Temperature

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SSRN 2023年

作者： Han, Dan Chen, Yi Li, Donghui Shi, Jiexu Wang, Hongtao He, Xiuli Zhao, Li Wang, Weidong Sang, Shengbo Ji, Jianlong Shanxi Key Laboratory of Micro Nano Sensors and Artificial Intelligence Perception College of Electronic Information and Optical Engineering Taiyuan University of Technology Taiyuan030024 China Key Lab of Advanced Transducers and Intelligent Control System The Ministry of Education Taiyuan University of Technology Taiyuan030024 China State Key Laboratory of Transducer Technology Aerospace Information Research Institute Chinese Academy of Sciences Beijing100190 China Bioengineering Research Center Medical Innovation Research Division Chinese PLA General Hospital Beijing China Shanxi Research Institute of 6D Artificial Intelligence Biomedical Science China

Surface modification with noble metal is considered as an effective strategy to enhance sensing performance of semiconductor gas sensors. In this work, gold nanoparticles (Au NPs) decorated Gallium Nitride nanoflowers (Au-GaN NFs) have been synthesized successfully by a feasible hydrothermal method combined with high temperature nitridation and followed by in-situ reduction process. The characterizations of the structure and morphology of as-obtained Au-GaN NFs indicated that the Au NPs were successfully loaded on the surface of GaN. The excellent gas sensing performance was observed for GaN of 2 mol% Au loaded, including the high response (86.8%) to 100 ppm NH3 with fast response/recovery time (41 s/169 s) at room temperature, low theoretical limit of detection (72 ppb), good stability and selectivity. Besides, the influence of humidity on the performance of sensors was explored, where the response can be reached 56.5% towards 100 ppm NH3 under 70% RH. The improvement of the sensing performance of Au-GaN NFs sensor can be attributed to the combined action of chemical and electronic sensitization of Au NPs. This work provides a candidate of Au-GaN NFs for the development of wireless sensing system in NH3 monitoring. © 2023, The Authors. All rights reserved.

关键词： Nanoflowers

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NMF: an Efficient Method for Detecting the Fallen Leaves Using Cleaning Robots on the Road

NMF: an Efficient Method for Detecting the Fallen Leaves Usi...

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IEEE International Conference on robotics and Biomimetics

作者： Yanzi Miao Zongwei Zhang Hesheng Wang Artificial Intelligence Research Institute China University of Mining and Technology Xuzhou China China University of Mining and Technology Xuzhou China Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Jiao Tong University Shanghai China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology Beijing China

ISBN: (纸本)9781665405362

The improvement of urban greening level makes sanitary work more complicated and difficult, especially, for the seasonal leaf cleaning on roads in the park, campus etc.. With the rapid development of computer vision, it is a feasible and innovative way to detect and clean the fallen leaves effectively with intelligent robot. However, since the irregular shape and size, uneven distribution of fallen leaves and complex outdoor conditions, especially the densely stacked leaves, even current advanced object detection algorithm has no satisfactory effect on detection of fallen leaves. To deal with the dense leaves detection problem and improve navigation efficiency, we propose a Non-Maximum Fusion(NMF) algorithm. NMF scales the high-confidence box with the pre-defined δ to fuse intersecting and adjacent boxes instead of supressing these boxes. The experiments on the fallen leaves data set shows that NMF improves the fallen leaves detection coverage significantly and the coverage reaches to 95%. Also, NMF greatly reduces the number of goal nodes for path planning. Since NMF functions at the back end of detector to process detection boxes without training, it can be intergrated into any fallen leaves detection pipeline easily.

关键词： Training Navigation Shape Roads Pipelines Green products Object detection

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Biocompatible chitosan/polyethylene glycol/multi-walled carbon nanotube composite scaffolds for neural tissue engineering

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2022年第1期23卷 58-73页

作者： Shengbo SANG Rong CHENG Yanyan CAO Yayun YAN Zhizhong SHEN Yajing ZHAO Yanqing HAN Shanxi Key Laboratory of Micro Nano Sensors&Artificial Intelligence Perception College of Information and ComputerTaiyuan University of TechnologyTaiyuan030024China Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education Taiyuan University of TechnologyTaiyuan030024China College of Information Science and Engineering Hebei North UniversityZhangjiakou075000China Shanxi Six-Dimensional Artificial Intelligence Biomedical Research Institute Taiyuan030031China Department of Neurology Shanxi Provincial Cardiovascular HospitalTaiyuan030024China

Carbon nanotube(CNT)composite materials are very attractive for use in neural tissue engineering and biosensor *** scaffolds are excellent mimics of extracellular matrix due to their hydrophilicity,viscosity,and *** can also impart conductivity to other insulating materials improve mechanical stability guide neuronal cell behavior and trigger axon *** performance of chitosan(CS)/polyethylene glycol(PEG)composite scaffolds could be optimized by introducing multi-walled CNTs(MWCNTs).CS/PEG/CNT composite scaffolds with CNT content of 1%,3%,and 5%(1%=0.01 g/mL)were prepared by *** physical and chemical properties and biocompatibility were *** electron microscopy(SEM)showed that the composite scaffolds had a highly connected porous *** electron microscope(TEM)and Raman spectroscopy proved that the CNTs were well dispersed in the CS/PEG matrix and combined with the CS/PEG nanofiber *** enhanced the elastic modulus of the *** porosity of the scaffolds ranged from 83%to 96%.They reached a stable water swelling state within 24 h,and swelling decreased with increasing MWCNT *** electrical conductivity and cell adhesion rate of the scaffolds increased with increasing MWCNT *** showed that rat pheochromocytoma(PC12)cells grown in the scaffolds had characteristics similar to nerve *** measured changes in the expression of nerve cell markers by quantitative real-time polymerase chain reaction(qRT-PCR),and found that PC12 cells cultured in the scaffolds expressed growth-associated protein 43(GAP43),nerve growth factor receptor(NGFR),and class IIIβ-tubulin(TUBB3)*** research showed that the prepared CS/PEG/CNT scaffold has good biocompatibility and can be further applied to neural tissue engineering research.

关键词： Multi-walled carbon nanotube(MWCNT) Cell-scaffold PC12 cells Biocompatibility

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Efficient Random Subspace Decision Forests with A Simple Probability Dimensionality Setting Scheme

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SSRN 2022年

作者： Wang, Quan Wang, Fei Li, Zhongheng Jiang, Peilin Ren, Fuji Nie, Feiping Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Shaanxi Xi’an710049 China Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications Beijing Institute of Spacecraft System Engineering Beijing100094 China School of Software Engineering Xi’an Jiaotong University Shaanxi Xi’an710049 China School of Computer Science and Engineering University of Electronic Science and Technology of China Sichuan Chengdu611731 China Northwestern Polytechnical University Shaanxi Xi’an710072 China

The random subspace concept is widely used in decision forests. However, there is not a reasonable approach to specify the appropriate number of randomly selected features. Previous random subspace decision forests simply specify the random subspace dimensionality d s to a preset function value such as [log 2 d ] or [√ d ] where d is the number of the total feature dimensions. Actually, this preset value may be a relatively poor choice for high dimensional data sets. In this paper, a novel framework named Efficient Random Subspace decision forest (ERS) is proposed which pays attention to how to set the random subspace dimensionality for each decision tree of decision forests. Specifically, a simple discrete uniform distribution is employed to set with probability the number of randomly selected features for each tree in random subspace decision forests. The proposed Half Range Discrete Uniform distribution-based Varied Dimensionality setting (HRDUVD) method removes the hesitation of how to preset an appropriate d s for different data sets but also results in good enough classification performance along with relatively short running time. Plenty of experiments on public benchmark data sets have demonstrated the effectiveness and the efficiency of the proposed ERS. © 2022, The Authors. All rights reserved.

关键词： Decision trees

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Quantum Interference between Photons and Single Quanta of Stored Atomic Coherence

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Physical Review Letters 2022年第8期128卷 083605-083605页

作者： Xingchang Wang Jianmin Wang Zhiqiang Ren Rong Wen Chang-Ling Zou Georgios A. Siviloglou J. F. Chen Shenzhen Institute for Quantum Science and Engineering and Department of Physics Southern University of Science and Technology Shenzhen 518055 China International Quantum Academy (SIQA) and Shenzhen Branch Hefei National Laboratory Futian District Shenzhen 518055 China State Key Laboratory of Precision Spectroscopy School of Physics and Electronic Science East China Normal University Shanghai 200241 China Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan 030024 Shanxi China CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei 230026 Anhui China Guangdong Provincial Key Laboratory of Quantum Science and Engineering Southern University of Science and Technology Shenzhen 518055 China

Essential for building quantum networks over remote independent nodes, the indistinguishability of photons has been extensively studied by observing the coincidence dip in the Hong-Ou-Mandel interferometer. However, indistinguishability is not limited to the same type of bosons. For the first time, we hereby observe quantum interference between flying photons and a single quantum of stored atomic coherence (magnon) in an atom-light beam splitter interface. We demonstrate that the Hermiticity of this interface determines the type of quantum interference between photons and magnons. Consequently, not only the bunching behavior that characterizes bosons is observed, but counterintuitively, fermionlike antibunching as well. The hybrid nature of the demonstrated magnon-photon quantum interface can be applied to versatile quantum memory platforms, and can lead to fundamentally different photon distributions from those occurring in boson sampling.

关键词： Electromagnetically induced transparency Quantum description of light-matter interaction Quantum optics Single photon sources Atomic ensemble Atom & ion cooling Coherent control Photon counting

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Model Free Adaptive Predictive Control of Desulfurization Slurry pH Based on CPS Framework

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Journal of Beijing institute of technology 2020年第4期29卷 544-555页

作者： Jian Liu Xiaoli Li Kang Wang Fuqiang Wang Guimei Cui Faculty of Information Technology Beijing University of TechnologyBeijing 100124China Beijing Key Laboratory of Computational Intelligence and Intelligent System Ministry of EducationBeijing 100124China Beijing Advanced Innovation Center for Future Internet Technology Beijing University of TechnologyBeijing 100124China Technology Research Center Shenhua Guohua(Beijing)Electric Power Research Institute CorporationBeijing 100025China School of Information Engineering Inner Mongolia University of Science and TechnologyBaotou 014010China

In order to improve the slurry pH control accuracy of the absorption tower in the wet flue gas desulfurization process,a model free adaptive predictive control algorithm for the desulfurization slurry pH which is based on a cyber physical systems framework is ***,aiming to address system characteristics of non-linearity and pure hysteresis in slurry pH change process,a model free adaptive predictive control algorithm based on compact form dynamic linearization is proposed by combining model free adaptive control algorithm with model predictive control ***,by integrating information resources with the physical resources in the absorption tower slurry pH control process,an absorption tower slurry pH optimization control system based on cyber physical systems is *** is turned out that the model free adaptive predictive control algorithm under the framework of the cyber physical systems can effectively realize the high-precision tracking control of the slurry pH of the absorption tower,and it has strong robustness.

关键词： wet flue gas desulfurization slurry pH cyber physical systems model free adaptive predictive control tracking control

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A Low Delay AES Round Transform Architecture Using Constant Matrix Multiplications Merging Technologies

A Low Delay AES Round Transform Architecture Using Constant ...

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Xinxing Zheng Xiaoqiang Zhang Fan Yang Mingyu Xu Han Yan College of Information Engineering Wuhu Institute of Technology Wuhu China Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment Ministry of Education Wuhu China Engineering Research Center of Vehicle-Mounted Display Integration System Wuhu China College of Electrical Engineering Anhui Polytechnic University Wuhu China

ISBN: (纸本)9781665409858

This paper presents a low delay architecture design method for the hardware implementation of the advanced Encryption Standard (AES) algorithm. The proposed architecture is designed by using constant matrix multiplications (CMM) merging technologies. To reduce the area cost in hardware implementations, S-box/InvS-box is usually implemented with composite field arithmetic (CFA) technologies. In this paper, CMM in CFA-based S-box/InvS-box are further merged with constant coefficient multiplications in MixColumns/ InvMixColumns, which can also be expressed as CMM forms. By the merging, the delay of the hardware implementation of encryption round transform is reduced at the cost of slight area cost increasing, and both delay and area cost are reduced in hardware implementations of decryption round transform. Hardware complexities analysis indicates that our designs have less delay compared with previous works.

关键词： Industrial electronics Costs Design methodology Merging Transforms Hardware Delays

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