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Nonlinearly Activated Neural Network for Solving Dynamic Complex-Valued Matrix Pseudoinverse

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Nonlinearly Activated Neural Network for Solving Dynamic Com...

Adaptive beamforming and phase bias compensation for GNSS receiver

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作者： XIANG Qiuhong LIAO Bolin JIN Long LIU Mei ZHANG Yinyan college of Mathmatics and Statistics Jishou University college of information Science and Engineering Jishou University college of information Science and Engineering Lanzhou University Department of Computing Hong Kong Polytechnic University

ISBN: (纸本)9781538629185

A special class of recurrent neural network,termed Zhang neural network（ZNN）,has been recently proposed for solving various dynamic problems,and has shown excellent performance in the real-valued domain.In this paper,a new complexvalued ZNN model（termed CVZNN model） is firstly proposed and investigated for online solution of dynamic complex-valued matrix pseudoinverse.Particularly,a novel activation function,called Li activation function,is employed,which is proven to enable the CVZNN model to converge in finite time.For comparative purposes,the linear activation function is exploited for solving such a dynamic complex-valued problem.Computer simulations are conducted to evaluate and compare the performance of CVZNN model with different activation functions for the dynamic complex-valued matrix pseudoinversion.Both theoretical analysis and simulation results verify the efficacy of the CVZNN model with nonlinear activation function.

关键词： Neural Network Complex-Valued Dynamic Li Activation Function Pseudoinverse

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Journal of Systems Engineering and electronics 2015年第1期26卷 10-18页

作者： Hongwei Zhao Baowang Lian Juan Feng School of electronics and information Northwestern Polytechnical University Shaanxi Fiber Home Communication Group Co. Ltd

Adaptive antenna arrays have been used to mitigate the interference on global navigation satellite system（GNSS） receivers. The performance of interference mitigation depends on the beamforming algorithms adopted by the antenna array. However,the adaptive beamforming will change the array pattern in realtime, which has the potential to introduce phase center biases into the antenna array. For precise applications, these phase biases must be mitigated or compensated because they will bring errors in code phase and carrier phase measurements. A novel adaptive beamforming algorithm is proposed firstly, then the phase bias induced by the proposed algorithm is estimated, and finally a compensation strategy is addressed. Simulations demonstrate that the proposed beamforming algorithm suppresses effectively the strong interference and improves significantly the capturing performance of GNSS signals. Simultaneously, the bias compensation method avoids the loss of the carrier phase lock and reduces the phase measurement errors for GNSS receivers.

关键词： global navigation satellite system（GNSS） space-time adaptive processing（STAP） adaptive beamforming bias compensation

Theoretical Studies on Novel Gridspiroarenes: Structures, Noncovalent Interactions and Reorganization Energies

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Chinese Journal of Chemistry 2019年第9期37卷 915-921页

作者： Lei Yang Cheng-Zhu Yin Mohamad Akbar Ali Chao-Yang Dong Xin-Miao Xie Xiang-Ping Wu Jie Mao Yong-Xia Wang Yang Yu Ling-Hai Xie Lin-Yi Bian Jian-Min Bao Xue-Qin Ran Wei Huang Centre for Molecular Systems and Organic Devices(CMSOD) Key Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for BiosensorsInstitute of Advanced Materials(IAM)Jiangsu National Synergetic Innovation Center for Advanced Materials(SICAM)Nanjing University of Posts & Telecommunications9 Wenyuan RoadNanjingJiangsu 210023China Department of Chemistry College of Science King Faisal UniversityAl-Ahsa31982Kingdom of Saudi Arabia Key Laboratory of Flexible electronics(KLOFE)& Institute of Advanced Material(IAM) Jiangsu National Synergetic Innovation Center for Advanced Material(SICAM)Nanjing Tech University(Nanjing Tech)30 South Puzhu RoadNanjingJiangsu 211816China Shaanxi Institute of Flexible electronics(SIFE) Northwestern Polytechnical University(NPU)127 West Youyi RoadXi'anShaanxi 710072China

Organic semiconductor materials with low reorganization energy have various applications such as in organic light-emitting diodes (OLEDs),organic field-effect transistor (OFETs) and organic solar cells (OSCs).In this work,we have designed a new class of gridspiroarenes (GS-SFX and GS-SITF) with #-shaped structures,which have novel crisscross geometrical structures compared to widely used spirocyclic arenes-SFX and SITF.The structure electronic properties,adiabatic ionization potentials (IPa),adiabatic electron affinities (EAa) and reorganization energies (λ) of GS-SFX and GS-SITF have been calculated using density functional theory (DFT) method.The calculated HOMO and LUMO spatial distributions suggest that GS-SFX and GS-SITF have better transport properties.The noncovalent interaction analysis shows the weak intramolecular interactions between their arms.The results indicate that the reorganization energies of GS-SFX and GS-SITF are significantly reduced compared to the dimer structures-DSFX and DSITF.Furthermore,the GS-SITF1 which is one of the isomers of GS-SITF exhibits the lowest values for λ(h)(0.067 eV) and λ(e)(0.153 eV).Therefore,we believe the predicted structure,electronic property,and reorganization energy are good indicator for transport materials.This work has systematically studied the effect of gridization,which provides insights to design organic semiconductor materials with excellent charge transport properties.

关键词： organic light-emitting diodes (OLEDs) organic field-effect transistor (OFETs) organic solar cells (OSCs)

High-performance flexible semiconductor fibres for multi-scenario communication applications

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Science China Materials 2024年

作者： Qinghui Lin Yang Li Guozhen Shen School of information Science and Engineering University of Jinan School of Integrated Circuits and electronics Beijing Institute of Technology School of Microelectronics Shandong University

With the advances in the field of flexible fibre technology in recent years, a variety of flexible fibres with different preparation processes have emerged [1,2]. However, most of the flexible fibres in the past have structural breaks, making them unsuitable for long-term use as wearable fabrics [3,4]. Glass semiconductors are widely used in thermally stretched fibres due to their advantages such as controllable fluidity, but they suffer from electronic defects compared with crystalline semiconductors in electronic semiconductors such as silicon (Si) and germanium (Ge)[5].

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Survey on applications of algebraic state space theory of logical systems to finite state machines

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Science China(information Sciences) 2023年第1期66卷 5-24页

作者： Yongyi YAN Daizhan CHENG Jun-E FENG Haitao LI Jumei YUE college of information Engineering Henan University of Science and Technology Institute of Systems Science Chinese Academy of Sciences School of Mathematics Shandong University School of Mathematics and Statistics Shandong Normal University college of Agricultural Equipment Engineering Henan University of Science and Technology

Algebraic state space theory(ASST) of logical systems, developed based on the semi-tensor product(STP) which is a new matrix analysis tool built in recent ten years, provides an algebraic analysis approach for many fields of science, such as logical dynamical systems, finite-valued systems, discrete event dynamic systems, and networked game systems. This study focuses on comprehensively surveying the applications of the ASST method to the field of finite state machines(FSMs). Some necessary preliminaries on the method are first reviewed. Then the applications of the method in the FSM field are reviewed, including deterministic FSMs, nondeterministic FSMs, probabilistic FSMs, networked FSMs, and controlled and combined FSMs. In addition, other applications related to both STP and FSMs are surveyed, such as the application of FSM to Boolean control networks and the application of graph theory to FSMs. Finally, some potential research directions with respect to the ASST method in the FSM field are predicted.

关键词： Boolean control network Boolean network finite state machine learning system semi-tensor product (STP) ASST

A Robust Approach for Detection and Classification of KOA Based on BILSTM Network

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Computer Systems Science & Engineering 2023年第11期47卷 1365-1384页

作者： Abdul Qadir Rabbia Mahum Suliman Aladhadh Computer Science Department UETTaxilaPakistan Department of information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia

A considerable portion of the population now experiences osteoarthritis of the knee,spine,and hip due to lifestyle changes.Therefore,early treatment,recognition and prevention are essential to reduce damage;nevertheless,this time-consuming activity necessitates a variety of tests and in-depth analysis by physicians.To overcome the existing challenges in the early detection of Knee Osteoarthritis(KOA),an effective automated technique,prompt recognition,and correct categorization are required.This work suggests a method based on an improved deep learning algorithm that makes use of data from the knee images after segmentation to detect KOA and its severity using the Kellgren-Lawrence(KL) classification schemes,such as Class-I,Class-II,Class-III,and Class-IV.Utilizing ResNet to segregate knee pictures,we first collected features from these images before using the Bidirectional Long Short-Term Memory(BiLSTM)architecture to classify them.Given that the technique is a pre-trained network and doesn’t require a large training set,the Mendeley VI dataset has been utilized for the training of the proposed model.To evaluate the effectiveness of the suggested model,cross-validation has also been employed using the Osteoarthritis Initiative(OAI)dataset.Furthermore,our suggested technique is more resilient,which overcomes the challenge of imbalanced training data due to the hybrid architecture of our proposed model.The suggested algorithm is a cuttingedge and successful method for documenting the successful application of the timely identification and severity categorization of KOA.The algorithm showed a cross-validation accuracy of 78.57%and a testing accuracy of 84.09%.Numerous tests have been conducted to show that our suggested algorithm is more reliable and capable than the state-of-the-art at identifying and categorizing KOA disease.

关键词： KOA image classification knee osteoarthritis deep learning neural networks human computer interaction(HCI) medical imaging

Efficient unequal error protection for online fountain codes

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Journal of Systems Engineering and electronics 2024年第2期35卷 286-293页

作者： SHI Pengcheng WANG Zhenyong LI Dezhi LYU Haibo School of electronics and information Engineering Harbin Institute of TechnologyHarbin 150001China Shenzhen Academy of Aerospace Technology Shenzhen 518057China

In this paper,an efficient unequal error protection(UEP)scheme for online fountain codes is proposed.In the buildup phase,the traversing-selection strategy is proposed to select the most important symbols(MIS).Then,in the completion phase,the weighted-selection strategy is applied to provide low overhead.The performance of the proposed scheme is analyzed and compared with the existing UEP online fountain scheme.Simulation results show that in terms of MIS and the least important symbols(LIS),when the bit error ratio is 10-4,the proposed scheme can achieve 85%and 31.58%overhead reduction,respectively.

关键词： online fountain code random graph unequal error protection(UEP) rateless code

Lead-free perovskite Cs_(2)AgBiBr_(6)photodetector detecting NIR light driven by titanium nitride plasmonic hot holes

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Photonics Research 2024年第3期12卷 522-533页

作者： ZIJIAN LIU YUYING XI WENBO ZENG TING JI WENYAN WANG SITONG GUO LINLIN SHI RONG WEN YANXIA CUI GUOHUI LI college of Physics College of Electronic Information and Optical EngineeringKey Laboratory of Advanced Transducers and Intelligent Control System of Ministry of EducationTaiyuan University of TechnologyTaiyuan 030024China Shanxi-Zheda Institute of Advanced Materials and Chemical Engineering Taiyuan 030032China

Lead-free perovskite Cs_(2)AgBiBr_(6)manifests great potential in developing high-performance,environmentally friendly,solution-processable photodetectors(PDs).However,due to the relatively large energy bandgap,the spectrum responses of Cs_(2)AgBiBr_(6)PDs are limited to the ultraviolet and visible region with wavelengths shorter than 560 nm.In this work,a broadband Cs_(2)AgBiBr_(6)PD covering the ultraviolet,visible,and near infrared(NIR)range is demonstrated by incorporating titanium nitride(TiN)nanoparticles that are prepared with the assistance of self-assembled polystyrene sphere array.In addition,an atomically thick Al2O3layer is introduced at the interface between the Cs_(2)AgBiBr_(6)film and TiN nanoparticles to alleviate the dark current deterioration caused by nanoparticle incorporation.As a result,beyond the spectrum range where Cs_(2)AgBiBr_(6)absorbs light,the external quantum efficiency(EQE)of the TiN nanoparticle incorporated Cs_(2)AgBiBr_(6)PD is enhanced significantly compared with that of the control,displaying enhancement factors as high as 2000 over a broadband NIR wavelength range.The demonstrated enhancement in EQE arises from the photocurrent contribution of plasmonic hot holes injected from TiN nanoparticles into Cs_(2)AgBiBr_(6).This work promotes the development of broadband solution-processable perovskite PDs,providing a promising strategy for realizing photodetection in the NIR region.

关键词： perovskite titanium ultraviolet

A New Kind of Data Acquisition Used in Laser Particle Size Analyzer

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A New Kind of Data Acquisition Used in Laser Particle Size A...