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SSRN 2025年

作者： Padhiar, Muhammad Amin Ji, Yongqiang Laghari, Rashid Ali Wang, Minqiang Zhang, Shaolin Muhammad, Nisar Xiong, Mengji Khan, Sayed Ali Khan, Noor Zamin School of Physics and Materials Science Guangzhou University Guangzhou510006 China School of Intelligent Manufacturing Shanghai Zhongqiao Vocational and Technical University Shanghai China Institute of Physics Henan Academy of Sciences Zhengzhou450046 China Electronic Materials Research Laboratory Key Laboratory of the Ministry of Education International Center for Dielectric Research Shannxi Engineering Research Center of Advanced Energy Materials and Devices Xi’an Jiao tong University Xi’an710049 China Hefei National Research Center for Physical Sciences at the Microscale Department of Physics University of Science and Technology of China Anhui Hefei230026 China Department of Chemistry and Physics Kean University NJ07083 United States Peking University China Shanghai Zhongqiao Vocational and Technical University China Guangzhou University China CAS Key Laboratory of Materials for Energy Conversion China

Lead-free double perovskite nanocrystals (DPs) (NCs) have emerged as a promising alternative to lead halide perovskite NCs (LHPs) for optoelectronic applications. Especially Cs2AgInCl6 DPs offer great potential in this context however, these NCs limited by their non-emissive nature, which constrains their practical use devices. Herein, we address this limitation by doping Nd³⁺ ions into Cs2AgInCl6 DPs NCs. The introduction of Nd³⁺ ions within Cs2AgInCl6 DP lattice enhances both photoluminescent (PL) performance and charge extraction through alterations in charge carrier processes. The essential energy transfer (ET) which enhances exciton-to-charge-carrier conversion to increase both light absorption and emission properties of the doped DPs NCs. Moreover, the density functional theory (DFT) calculations showed an enhanced bandgap value which proves that experimental observations detected lower non-radiative recombination rates. The measurements yielded an activation energy (Ea) values of 0.369 eV, 0.205 eV, 0.33 eV, with an ET efficiency of 25%, 40% and 28% respectively. Based on time-resolved (TRPL) and temperature-dependent (TDPL) analysis showed improved carrier lifetime and enhanced optoelectronic characteristics in Nd³⁺-doped Cs2AgInCl6 DPs NCs. This work showed the potential of Nd³⁺ doping to enhance the performance of Cs2AgInCl6 particularly for NIR-based applications by facilitating the generation of improved ET, which is crucial for NIR based devices. © 2025, The Authors. All rights reserved.

关键词： Activation energy

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key Techniques on Unified Identity Authentication in OpenMBEE Integration

Key Techniques on Unified Identity Authentication in OpenMBE...

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IEEE International Conference on electronics and Communication Engineering (ICECE)

作者： Junjie Xue Junhua Zhou Guoqiang Shi Chaoqun Feng Penghua Liu Hongyan Quan Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center Beijing China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing China Beijing Simulation Center Science and Technology on Space System Simulation Laboratory Beijing China School of Computer Science and Technology East China Normal University Shanghai China

ISBN: (纸本)9781728188577

In order to make full use of the concept of model-based systems engineering (MBSE) and the collaborative design capability of the open model-based engineering environment (OpenMBEE) in establishing complex product development platform, we propose an effective method to solve the problem of unified identity authentication in OpenMBEE integration. The proposed method is based on the Model View Controller(MVC) architecture in OpenMBEE, which has the characteristics strong plasticity and can be benefit for expanding the function in the controller layer. In our research, we make full use of the Software Development Kit (SDK) of OpenMBEE to expand the existing functions in the controller layer, and increase the function of communicating with the application development platform, then realize the function of sharing user authentication information between the development platform and OpenMBEE. After expansion, the system includes three modules, including the Front-end Service Module(FSM), MQ based Information Receiving Service Module(IFRSM), and the OpenMBEE Backend Server Module(BSM). The effectiveness of the proposed strategies is verified by some practical instances, which verifies that our study can provide an effective design idea for the identity authentication in OpenMBEE integration.

关键词： Analytical models Databases Authentication Computer architecture Control systems Data models Software

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On Pareto-frontier Approximate Computing for Many-core Systems

On Pareto-frontier Approximate Computing for Many-core Syste...

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intelligent technology and Embedded Systems (ICITES), International Conference on

作者： Xinyue Hou Xiaohang Wang Maurizio Palesi Amit Kumar Singh Yingtao Jiang Mei Yang Letian Huang Junying Chen Key Laboratory of Big Data and Intelligent Robot (South China University of Technology) Ministry of Education School of Software Engineering South China University of Technology University of Catania Catania Italy School of Computer Science and Electronic Engineering University of Essex Colchester United Kingdom University of Nevada Las Vegas USA School of Electronic Science and Engineering University of Electronic Science and Technology of China China

Approximate computing is an emerging paradigm that aggressively improves performance or reduces energy consumption by sacrificing computation quality for error forgiving applications. Various approximate techniques, including loop truncation, approximate communication, etc. have been proposed. Previous works focus on optimization using only one approximation knob. However, we have observed that simultaneously optimizing with multiple approximation knobs leads to a large search space and is more likely to find better solutions. Therefore, in this paper, we first develop application models for performance, error, and power, followed by formulation of an optimization problem to maximize system performance under error and power constraints, using three approximation knobs, which are loop truncation, data dropping, and computational precision scaling. In order to solve the problem efficiently, a lightweight algorithm based on interior point algorithm is proposed. Experimental results show that, compared to state-of-the-art approximate approaches, the proposed scheme can reduce the execution time by as much as 33.1%. The overhead of the proposed method is low, making it a suitable approximate scheme for future many-core systems.

关键词： Energy consumption Power demand Embedded systems Computational modeling System performance Approximate computing Approximation algorithms

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Optimization of Simulation Parameters of Input Shaper Based on Genetic Algorithm

Optimization of Simulation Parameters of Input Shaper Based ...

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Advanced Technologies in intelligent Control, Environment, Computing & Communication Engineering (ICATIECE), International Conference on

作者： Tao Yi Quanshen Pei Deying Li Shugong Wei Danping Jia Hualiang Zhang Hunan University of Information Changsha China School of Information Science and Engineering Shenyang University of Technology Shenyang China College of Physics and Electronic Engineering Guangxi Normal University for Nationalities Chongzuo China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9781665493970

In the motion control system, input shaper is often used to suppress the residual oscillation of high-precision positioning system, but the selection of input shaper parameters is difficult. In view of the difficulty of selecting input shaper parameters, this paper proposes to use genetic algorithm to select the parameters of input shaper. Firstly, the input shaper is designed in the light of the three-loop mathematical model of motor; Secondly, because the genetic algorithm directly optimizes the output of the motor and the algorithm can reduce the influence of the deviation of generator parameters on the parameter selection of the input shaper to a certain extent, the parameters of the input shaper are selected by the genetic algorithm to optimize the output of the motor; In the finish, a comparative experiment between a system with input shaper and a system with simple PID control is carried out. The results show that the optimized system can obtain higher robustness and smaller tracking deviation.

关键词： Vibrations Tracking Mathematical models Robustness Decoding Rigidity Motion control

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Dual Functional Mesoporous Silica Colloidal Electrolyte for Lithium-Oxygen Batteries

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SSRN 2022年

作者： Mu, Hailiang Zhuge, Xiangqun Ren, Guogang Luo, Kun Ding, Zhengping Ren, Yurong Luo, Zhihong Bayati, Maryam Xu, Ben Bin Liu, Xiaoteng Changzhou Key Laboratory of Intelligent Manufacturing and Advanced Technology for Power Battery School of Materials Science ＆ Engineering Changzhou University Changzhou213164 China Department of Engineering and Technology School of Physics Engineering and Computer Science University of Hertfordshire Hertfordshire HatfieldAL10 9AB United Kingdom Guangxi Key Laboratory of Optical and Electronic Materials and Devices Guilin University of Technology Guilin541004 China Department of Mechanical and Construction Engineering Faculty of Engineering and Environment Northumbria University Newcastle upon TyneNE1 8ST United Kingdom

Dual functional mesoporous silica (mSiO2) colloidal electrolytes are designed for lithium-oxygen batteries (LOBs) for the purpose of protecting lithium anode and accelerating cathode reaction kinetics. It suppresses the side reactions of Li stripping/plating and enhances the cycling life performance of the LOB by relieving the attack of superoxide intermediates. The co-deposition of mesoporous mSiO2 and Li2O2 also effectively accelerated the decomposition of the discharge product by promoting the mass transfer at the cathode. Testing results show that the battery life of LOB using mSiO2 with a concentration of 80 mg L-1 in the colloidal electrolyte has been extended from 55 to 328 cycles compared with the one using conventional LiClO4/DMSO electrolyte. The rate performance and full-discharge capacity are also significantly enhanced. We discovered that the as-synthesized mSiO2 has a special well-ordered hexagonal mesoporous structure, with a high specific surface area of 1016.30 m2 g-1, which can form a stable colloid after mixing with 1.0 M LiClO4/DMSO. This is a meaningful investigation of suppressing side reactions using non-aqueous electrolytes, and the design principle also impacts research on other types of lithium metal batteries. © 2022, The Authors. All rights reserved.

关键词： Electrolytes

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Equation of state of LiCoO_2 under 30 GPa pressure

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Chinese Physics B 2019年第1期28卷 518-521页

作者： Yong-Qing Hu Lun Xiong Xing-Quan Liu Hong-Yuan Zhao Guang-Tao Liu Li-Gang Bai Wei-Ran Cui Yu Gong Xiao-Dong Li School of Intelligent Manufacturing Sichuan University of Arts and Science DaZhou Industrial Technology Institute of Intelligent Manufacturing School of Materials and Energy University of Electronic Science and Technology Research Branch of Advanced Materials&Green Energy Henan Institute of Science and Technology National Key Laboratory of Shock Wave and Detonation Physics Institute of Fluid Physics China Academy of Engineering Physics Institute of High Energy Physics Chinese Academy of Sciences

LiCoO_2 is one of the most important cathode materials for high energy density lithium ion batteries. The compressed behavior of LiCoO_2 under high pressure has been investigated using synchrotron radiation x-ray diffraction. It is found that LiCoO_2 maintains hexagonal symmetry up to the maximum pressure of 30.1 GPa without phase transition. The elastic modulus at ambient pressure is 159.5(2.2) GPa and its first derivative is 3.92(0.23). In addition, the high-pressure compression behavior of LiCoO_2 has been studied by first principles calculations. The derived bulk modulus of LiCoO_2 is 141.6 GPa.

关键词： equation of state high pressure LiCoO2

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St-Kan-Former: A Novel Spatiotemporal Transformer Neural Network for Air Quality Prediction

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SSRN 2025年

作者： Zhang, Wenyong Xia, Dawen Chang, Guoyan Zheng, Zhiquan Hu, Yang Huo, Yujia Wang, Ziqiang Feng, Fujian Li, Yantao Li, Huaqing College of Data Science and Information Engineering Guizhou Minzu University Guiyang550025 China School of Computer Science and Engineering South China University of Technology Guangzhou510006 China Engineering Research Center of Micro-nano and Intelligent Manufacturing Ministry of Education Kaili University Kaili556011 China Affiliated Hospital of Guizhou Medical University Guiyang550001 China State Key Laboratory of Public Big Data Guizhou University Guiyang550008 China College of Computer Science Chongqing University Chongqing400044 China College of Electronic and Information Engineering Southwest University Chongqing400715 China

Accurate and timely air quality prediction is important for supporting daily activities and safeguarding respiratory health. However, the complex aerodynamic properties of air pollutants pose significant challenges to accurate air quality prediction. Most existing spatiotemporal prediction models extract spatial features in a coarse-grained manner, which cannot fully utilize the spatial feature data, resulting in poor prediction accuracy. To this end, we propose a novel air quality prediction method based on a Spatiotemporal Transformer with a Kolmogorov-Arnold Network (ST-KAN-Former). Specifically, in the temporal dimension, we use the wavelet transform, KAN, and ProbAttention network to construct the temporal feature extraction model. Based on this, the temporal dimension data are decomposed into high-frequency and low-frequency components, and then feature extraction is performed for fine-grained acquisition of temporal dimension features. Then, in the spatial dimension, we divide the spatial region into four subregions according to the distance parameter between the master site and the slave site and build a spatial feature extraction model for each subregion using KAN and ProbAttention networks. Next, we simulate the attenuation of pollutants during their dispersion to introduce the concept of diffusion coefficients. This approach allows us to apply diffusion processing to data from each subregion, enabling a finer granularity in capturing spatial characteristics. Finally, we employ the KAN and ProbAttention networks to construct a spatiotemporal feature fusion model that integrates temporal and spatial characteristics. Extensive experiments on the Beijing dataset demonstrate that ST-KAN-Former achieves better results compared with the other 11 benchmarks. © 2025, The Authors. All rights reserved.

关键词： Prediction models

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Automatic basketball detection in sport video based on R-FCN and soft-NMS 2019

Automatic basketball detection in sport video based on R-FCN...

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4th International Conference on Automation, Control and robotics Engineering, CACRE 2019

作者： Liang, Qiaokang Mei, Li Wu, Wanneng Sun, Wei Wang, Yaonan Zhang, Dan Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing National Engineering Laboratory for Robot Vision Perception and Control Hunan University Changsha410082 China Department of Mechanical Engineering York University TorontoM3J 1P3 Canada

ISBN: (纸本)9781450371865

In basketball videos, the ball is always so small in the camera that its appearance feature is hard to be extracted. In this paper, we introduce a deep-learning technology to detect the basketball. Specifically, we train our basketball detection model based on the Region-based Fully Convolutional Networks (R-FCN) which uses the fully convolutional Residual Network (ResNet) as the backbone network. What’s more, we apply some new techniques including Online Hard Example Mining (OHEM), Soft-NMS and multi-scale training strategy to achieve higher detection accuracy. In detail, the OHEM method can reduce the cost of fine-tuning during training by calculating the loss of the RoIs. Soft-NMS can reduce the false positive rate by decreasing the object detection score between the overlap object. And the multi-scale training can improve the detection performance by receiving the good feature from the object with different scale. Finally, we achieve a mean average precision (mAP) value of 89.7% on a public basketball dataset. It proves that applying the deep-learning approach to basketball detection is effective. © 2019 Copyright is held by the owner/author(s).

关键词： Object recognition

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Improved interfacial bonding strength of laser TC4/UHMWPE joints via a hybrid surface pretreatment

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Applied Surface Science 2025年 708卷

作者： Zhaoyang Chen Jin Yang Yinjiao He Ruijun Wang Yulong Li Ruijie Hao Yixuan Zhao Caiwang Tan Xiaoguo Song Jianguang Zhai School of Materials Science and Engineering Shanghai University of Engineering Science Shanghai 201620 China School of Intelligent Manufacturing Shanghai Zhongqiao Vocational and Technical University Shanghai 201514 China Key Lab for Robot & Welding Automation of Jiangxi Province School of Advanced Manufacturing Nanchang University Nanchang 330031 China State Key Laboratory of Advanced Welding and Joining Harbin Institute of Technology Harbin 150001 China

Titanium alloys and ultra-high molecular weight polyethylene (UHMWPE) are extensively utilized in biomedical implants due to their biocompatibility. As a kind of non-polar polymer, UHMWPE exhibits low surface activity and hydrophobicity, hindering a strong bonding to titanium alloys. This study introduced a novel hybrid modification method aimed at improving the reliability of artificial joint prostheses with a hybrid structure of Ti-6Al-4V titanium alloy (TC4) and UHMWPE. Firstly, the introduction of polar groups on the UHMWPE surface using an ultraviolet (UV) lamp/ozone. Secondly, the textured grids were processed on the TC4 surface using laser processing. The two materials were laser joined via heat transfer mode with a TC4-on-UHMWPE configuration. The bonding interface and fracture were characterized and analyzed by scanning electron microscopy (SEM), energy spectroscopy (EDS), X-ray photoelectron spectroscopy (XPS), and X-ray diffraction (XRD), which indicated the formation of mechanical interlocking and the generation of new chemical bonds at the interface. The bonding mechanism at the joint interface was also confirmed by density functional theory (DFT) calculations. The bidirectionally modified TC4-UHMWPE hybrid structure obtained a maximum tensile shear of 1233 N, realizing joint strength matching. This provides a new solution for the joining of non-polar polymers to metals. It is also essential for the development of more durable and reliable biomedical implants and prostheses.

关键词：

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Multi-UAV collaborative system with a feature fast matching algorithm

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Frontiers of Information technology & electronic Engineering 2020年第12期21卷 1695-1712页

作者： Tian-miao WANG Yi-cheng ZHANG Jian-hong LIANG Yang CHEN Chao-lei WANG School of Mechanical Engineering&Automation Beihang UniversityBeijing 100191China School of Physics and Mechatronics Engineering Longyan UniversityLongyan 364000China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System EngineeringBeijing 100040China

We present a real-time monocular simultaneous localization and mapping(SLAM)system with a new distributed structure for multi-UAV collaboration *** system is different from other general SLAM systems in two aspects:First,it does not aim to build a global map,but to estimate the latest relative position between nearby vehicles;Second,there is no centralized structure in the proposed system,and each vehicle owns an individual metric map and an ego-motion estimator to obtain the relative position between its own map and the neighboring vehicles'.To realize the above characteristics in real time,we demonstrate an innovative feature description and matching algorithm to avoid catastrophic expansion of feature point matching workload due to the increased number of *** on the hash and principal component analysis,the matching time complexity of this algorithm can be reduced from 0(logN)to 0(1).To evaluate the performance,the algorithm is verified on the acknowledged multi-view stereo benchmark dataset,and excellent results are ***,through the simulation and real flight experiments,this improved SLAM system with the proposed algorithm is validated.

关键词： Multiple UAVs Collaboration Simultaneous localization and mapping(SLAM) Feature description and matching

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