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Microstructure controlled synthesis of Ni,N-codoped CoP/carbon fiber hybrids with improving reaction kinetics for superior sodium storage

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Journal of Materials science & Technology 2022年第4期99卷 184-192页

作者： Huijun Li Xiaomin Wang Zhenxin Zhao Rajesh Pathak Siyue Hao Xiaoming Qiu Qiquan Qiao College of Materials Science and Engineering Taiyuan University of TechnologyTaiyuan 030024China Shanxi Key Laboratory of New Energy Materials and Devices Taiyuan University of TechnologyTaiyuan 030024China Department of Electrical Engineering and Computer Science Center for Advanced Photovoltaics and Sustainable EnergySouth Dakota State UniversityBrookingsSD 57007USA Mechanical&Aerospace Engineering Syracuse UniversitySyracuseNY 13244USA

Transition-metal phosphides(TMPs)-based hybrid structure have received considerable attention for efficient sodium storage owing to their high capacity and decent ***,the volume expansion&the poor electronic conductivity of TMPs,the poor-rate capability,and fast capacity decay greatly hinder its practical *** address these issues,a low-cost and facile strategy for the synthesis of Ni,N-codoped graphitized carbon(C)and cobalt phosphide(CoP)embedded in carbon fiber(Ni-CoP@CN⊂CF)as self-supporting anode material is demonstrated for the first *** graphitized carbon and carbon fiber improve the electrical conductivity and inhibit the volume expansion *** addition to that,the microporous structure,and ultrasmall sized Ni-CoP offer a high surface area for electrolyte wettability,short Na-ion diffusion path and fast charge transport *** a result,outstanding electrochemical performance with an average capacity decay of 0.04%cycle^(−1)at 2000 mA g^(−1),an excellent rate capability of 270 mAh g^(−1)@2000 mA g^(−1)and a high energy density of~231.1 Wh kg^(−1)is achieved with binder-free self-supporting anode *** work shows a potential for designing binder-free and high energy density sodium-ion batteries.

关键词： Ultrasmall Ni-CoP Carbon shell Microporous structure High Na^(+)diffusion coefficients Sodium-ion batteries

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Interactive Agriculture relying on Artificial Intelligence and Convolution Neural Network 2

Interactive Agriculture relying on Artificial Intelligence a...

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2nd IEEE International Conference on Intelligent and Innovative Technologies in Computing, electrical and Electronics, ICIITCEE 2024

作者： Nandhini, J. Mohanapriya, D. Kalaiarasi, G. Lakshmipriya, N. Arunprasath, M.M. Jai Shriram Engineering College Department of Electronics and Communication Engineering Tamil Nadu Tiruppur India Vignan's Foundation for Science Technology & Research Department of Advanced Computer Science and Engineering Andrapradesh Guntur India Jai Shriram Engineering College Department of Electrical and Electronics Engineering Tamil Nadu Tiruppur India Ksr Institute for Engineering and Technology Department of Electronics and Communication Engineering Tamil Nadu Tiruchengode India

ISBN: (纸本)9798350306415

Crop production is more complicated than farming, as it involves a lot of labor and very specific humid conditions in both the soil as well as the atmosphere in which to grow them. Farming has been made easier by technology, such as smart irrigation and precise plant nutrition, but these systems have a drawback: they spray water uniformly on all crops, even if some of them need little. An agricultural smart spraying system minimizes the impact on the environment while targeting chemical spray applications. In smart sprayers, which in most cases also have a targeted detection and spraying system, the targeted sensor forms the basis of precision spraying management. Despite the fact that excess water can be sprayed, it is not recommended. A crop can be protected against being affected by possible rots if moisture sensors and float sensors are used as part of the Intelligent Spraying System. Using this technology, it is possible to stop crops from being destroyed by climate change. The crop won't be harmed by pest sickness because of using Convolutional Neural Network (CNN) algorithm. This paper examines the conventional techniques for identifying plant diseases and pests. Agriculture productivity is seriously threatened by agricultural illnesses and insect pests. If pests are not found and identified quickly, they might result in considerable economic losses. So by using CNN those disease are classified in earlier stage and crops are being protected. © 2024 IEEE.

关键词： Artificial Intelligence CNN Image Processing Smart Irrigation

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Practical aberration correction using deep transfer learning with limited experimental data

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Optics Express 2025年第6期33卷 14431-14444页

作者： Kok, Yong En Bentley, Alexander Parkes, Andrew J. Somekh, Michael G. Wright, Amanda J. Pound, Michael P. University of Nottingham School of Computer Science NottinghamNG8 1BB United Kingdom Optics and Photonics Group Department of Electrical and Electronic Engineering University of Nottingham NottinghamNG7 2RD United Kingdom Research Center for Humanoid Sensing Zhejiang Laboratory Hangzhou3111100 China

Adaptive optics is a technique for correcting aberrations and improving image quality. When adaptive optics was first used in microscopy, it was common to rely on iterative approaches to determine the aberrations present. It is advantageous to avoid iteration, and therefore there has been a shift to deep learning for aberration prediction. However, issues remain regarding the practicalities of machine learning for adaptive optics, an important one being the requirement for a large training dataset. Here, we explore transfer learning to overcome this need for data by pre-training a network on a large simulated dataset and fine-tuning it with reduced experimental data for application in an experimental setting. We demonstrate that the pre-trained network can make noticeable improvements with fine-tuning on just 24 experimental samples. To further enhance practicality, we significantly extend the range of aberrations present, predicting up to 25 Zernike modes with each coefficient ranging from −1 to 1, and perform a thorough analysis of the type and magnitude of phase-diversity required in the input data for a successful network. Our approach demonstrates substantial aberration reduction on experimental data for 10 Zernike modes, with an average 73% decrease in RMS wavefront error from 1.81 to 0.48 rad when correction is applied. This method achieves complete experimental image capture and aberration inference at rates comparable to the image acquisition time of a typical laser scanning microscope. Additionally, we consider the benefits of further improvements via an iterative step. As such, this work addresses some of the key practical hurdles that remain in the use of deep learning for aberration prediction and correction. © 2025 Optica Publishing Group (formerly OSA). All rights reserved.

关键词： Adaptive optics

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Learning Multi-scale Representations with Single-stream Network for Video Retrieval

Learning Multi-scale Representations with Single-stream Netw...

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2023 IEEE/CVF Conference on computer Vision and Pattern Recognition Workshops, CVPRW 2023

作者： Wang, Chia-Hui Tseng, Yu-Chee Chiang, Ting-Hui Chen, Yan-Ann National Yang Ming Chiao Tung University Department of Computer Science Taiwan National Yang Ming Chiao Tung University College of AI Taiwan Chunghwa Telecom Laboratories Advanced Technology Laboratory Taoyuan Taiwan Yuan Ze University Department of Computer Science and Engineering Taiwan

ISBN: (纸本)9798350302493

With the explosive growth of video contents in the Internet, video retrieval has become an important issue that can benefit video recommendation and copyright detection. Since the key features of a video may distribute in distant regions of a lengthy video, several works have made a success by exploiting multi-stream, multi-scale architectures to learn and merge distant features. However, a multi-stream network is costly in terms of memory and computing overhead. The number of scales and these scales are handcrafted and fixed once a model is finalized. Further, being more complicated, multi-stream networks are more prone to being overfitting and lead to poorer generalization. This paper proposes a single-stream network with built-in dilated spatial and temporal learning capability. By combining with modern techniques, including Denoising Autoencoder, Squeeze-and-Excitation Attention, and Triplet Comparative Mechanism, our model achieves state-of-the-art performance in several video retrieval tasks on the FIVR200K, CC WEB VIDEO, and EVVE datasets. © 2023 IEEE.

关键词： Excited states

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A Study of Trot Gait Control System of a Quadruped Robot Using IMU Sensor 61

A Study of Trot Gait Control System of a Quadruped Robot Usi...

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61st Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2022

作者： Mori, Kimihiro Ohkubo, Tomoyuki Kobayashi, Kazuyuki Watanabe, Kajiro Tian, Kaiqiao Sebi, Nashwan J. Cheok, Ka C. Hosei University Graduate School of Science and Engineering Tokyo Japan Advanced Institute of Industrial Technology Tokyo Japan Oakland University School of Engineering & Computer Science Electrical & Computer Engineering Department RochesterMI United States

ISBN: (数字)9784907764784

ISBN: (纸本)9784907764784

This paper describes a stable trot gait control system for a quadruped robot that enables faster walking with stability. Compared to other gait types, it is possible to walk faster with relatively little energy expenditure, which means trot gait is suitable to control for the quadruped robot. However, trot gait does not prevent roll and pitch angle fluctuations, essentially, even when walking on flat terrain, because two legs temporarily support the robot body. Therefore, to suppress the effect of this fluctuation and stabilize the posture of the robot body, we proposed a trot gait control system using an IMU sensor and achieved faster walking without slipping. To confirm the validity of the proposed stable trot gait control system, we built a quadruped robot based on TurtleBot3 chassis and implement our system. To validate the system's effectiveness, we carried out several experiments running on various types of terrain, including sloping terrain. © 2022 The Society of Instrument and Control Engineers - SICE.

关键词： Control systems

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SF_(6)decomposition and insulation condition monitoring of GIE:A review

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High Voltage 2021年第6期6卷 955-966页

作者： Fuping Zeng Haotian Li Hongtu Cheng Ju Tang Yilu Liu School of Electrical Engineering and Automation Wuhan UniversityWuhanChina Department of Electrical Engineering and Computer Science USA Oak Ridge National Laboratory KnoxvilleTennesseeUSA

The statistics of the Conference International des Grands Reseaux Electriques(CIGRE)indicate that the operational reliability of SF6 gas‐insulated equipment(GIE)is very high;however,the failure rate of the GIE in operation is much higher than that of the IEC standard,and the fault occurs frequently in the GIE at a high voltage *** reason is due to the complex and strong on‐site electromagnetic interference environment and fully enclosed structure of *** key method and technology for effective on‐line monitoring and fault diagnosis of GIE are still *** the partial strong electromagnetic energy and high temperature induced by early latent insulation faults in the equipment,SF6 gas insulation presents different degrees of *** decomposition products mainly include SO_(2)F_(2),SOF_(2),SO_(2),HF,and *** decomposition characteristics of SF6 are closely related to the property of insulation *** present,this area is attracting attention from the power industry and research *** study summarises the current research on SF_(6)decomposition component analysis(DCA).The content mainly includes the latest progress of SF_(6)decomposition characteristics and mechanism under fault conditions,and fault diagnosis methods based on decomposition components.

关键词： insulation fault diagnosis

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Ultrastable supported oxygen evolution electrocatalyst formed by ripening-induced embedding

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science (New York, N.Y.) 2025年第6735期387卷 791-796页

作者： Shi, Wenjuan Shen, Tonghao Xing, Chengkun Sun, Kai Yan, Qisheng Niu, Wenzhe Yang, Xiao Li, Jingjing Wei, Chenyang Wang, Ruijie Fu, Shuqing Yang, Yong Xue, Liangyao Chen, Junfeng Cui, Shiwen Hu, Xiaoyue Xie, Ke Xu, Xin Duan, Sai Xu, Yifei Zhang, Bo State Key Laboratory of Molecular Engineering of Polymers Department of Macromolecular Science Fudan University Shanghai China Collaborative Innovation Center of Chemistry for Energy Materials Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials MOE Key Laboratory of Computational Physical Sciences Department of Chemistry Fudan University Shanghai China Department of Chemistry and Department of Electrical and Computer Engineering Northwestern University Evanston IL United States Hefei National Laboratory Hefei China

The future deployment of terawatt-scale proton exchange membrane water electrolyzer (PEMWE) technology necessitates development of an efficient oxygen evolution catalyst with low cost and long lifetime. Currently, the stability of the most active iridium (Ir) catalysts is impaired by dissolution, redeposition, detachment, and agglomeration of Ir species. Here we present a ripening-induced embedding strategy that securely embeds the Ir catalyst in a cerium oxide support. Cryogenic electron tomography and all-atom kinetic Monte Carlo simulations reveal that synchronizing the growth rate of the support with the nucleation rate of Ir, regulated by sonication, is pivotal for successful synthesis. A PEMWE using this catalyst achieves a cell voltage of 1.72 volts at a current density of 3 amperes per square centimeter with an Ir loading of just 0.3 milligrams per square centimeter and a voltage degradation rate of 1.33 microvolts per hour, as demonstrated by a 6000-hour accelerated aging test.

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Fast Erasure Decoding of Reed-Solomon Codes Based on Decomposition of Vandermonde Matrix 16

Fast Erasure Decoding of Reed-Solomon Codes Based on Decompo...

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16th International Conference on Wireless Communications and Signal Processing, WCSP 2024

作者： Lin, Zebing Lv, Jingjie Li, Pingping Song, Linqi Liang, Hui Hou, Hanxu School of Computer Science and Technology Dongguan University of Technology China School of Electrical Engineering & Intelligentization Dongguan University of Technology China Shenzhen Institute for Advanced Study University of Electronic Science & Technology of China China City University of Hong Kong Department of Computer Science Hong Kong City University of Hong Kong Shenzhen Research Institute Hong Kong

ISBN: (纸本)9798350390643

Reed-Solomon (RS) codes are widely applied in storage systems. The main bottleneck of RS codes is that the high decoding complexity defined as the number of multiplications and additions. In this paper, we propose a fast decoding algorithm for RS codes that requires fewer number of multiplications. Our fast decoding algorithm is designed by a decomposition of Vandermonde matrices. We show that our decoding algorithm requires fewer number of multiplications than the existing best known algorithm when the number of parities T is large. When the codeword length N=16, our decoding algorithm reduces the number of multiplications by 7% and 29% when T=4 and T=7, respectively, compared with the best known decoding algorithm. © 2024 IEEE.

关键词： Reed-Solomon codes

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Childhood Adversity’s Impact on Dynamic Mental Health During and Post Pregnancy

Childhood Adversity’s Impact on Dynamic Mental Health Durin...

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2023 Workshop on Data science Techniques for Datasets on Mental and Neurodegenerative Disorders, DSTNDS 2023

作者： Yu, Jennifer Ali, Mai Zhu, Rui Edke, Parinita Goldenberg, Anna Department of Computer Science University of Toronto Toronto Canada Department of Electrical and Computer Engineering University of Toronto Toronto Canada Department of Laboratory Medicine and Pathobiology University of Toronto Toronto Canada Hospital for Sick Children Toronto Canada Vector Institute Toronto Canada

Maternal health is one of the main sustainable development goals of the World Health Organization (WHO). Changes associated with pregnancy can be reflected in the physiological, psychological and behavioral states of women. In this study, we investigated relationships between Adverse Childhood Experiences (ACEs) and mental health symptoms such as depression and anxiety over pregnancy and into the postpartum period, as well as quality of life. Further, we examined the interrelationship between mental health and physical health during and post pregnancy, finding that the effects during pre and postnatal periods tend to differ. We hope that our analysis lays potential groundwork for exploring more complex relationships between mental health symptoms and ACEs during and post pregnancy. © 2023 CEUR-WS. All rights reserved.

关键词： Behavioral research

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Correction to: Automated explainable and interpretable framework for anomaly detection and human activity recognition in smart homes (Neural Computing and Applications, (2025), 10.1007/s00521-025-10991-3)

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Neural Computing and Applications 2025年第16期37卷 9309-9310页

作者： Kim, Tae Hoon Ojo, Stephen Krichen, Moez Alamro, Meznah A. Mihoub, Alaeddine Sampedro, Gabriel Avelino School of Information and Electronic Engineering Zhejiang University of Science and Technology No. 318 Zhejiang Hangzhou China Department of Electrical and Computer Engineering College of Engineering Anderson University AndersonSC29621 United States Al-Baha University Al-Baha65528 Saudi Arabia ReDCAD Laboratory University of Sfax Sfax3038 Tunisia Department of Information Technology College of Computer and Information Science Princess Nourah Bint Abdul Rahman University Riyadh11564 Saudi Arabia Department of Management Information Systems College of Business and Economics Qassim University P.O. Box: 6640 Buraidah51452 Saudi Arabia Department of Computer Science University of the Philippines Diliman Quezon City1101 Philippines

In this article, the author’s name Stephen Ojo was incorrectly written as Stepehn Ojo and the affiliation details for author Stephen Ojo was incorrectly given as ‘department of electrical and computer engineering, College of engineering Anderson, Anderson University, Anderson, SC 29621, USA’ but should have been ‘department of electrical and computer engineering, College of engineering, Anderson University, Anderson, SC 29621, USA’. In addition, the affiliation details for author Gabriel Avelino Sampedro were incorrectly given as ‘College of computer Studies, De La Salle University, 2401 Taft Ave., Malate, 1004 Manila, Philippines and Faculty of Information and Communication Studies, University of the Philippines Open University, 4031 Los Baños, Philippines’ but should have been ‘department of computer science, University of the Philippines Diliman, 1101 Quezon City, Philippines’. The original article has been corrected. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2025.

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