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5th International Academic Exchange Conference on science and technology Innovation, IAECST 2023

作者： Wang, Shen Fei, Cai Zhang, Mengxi National University of Defense Technology National Key Laboratory of Information Systems Engineering Changsha China

ISBN: (纸本)9798350357738

Personalized user-driven learning, relying on customized question recommendations, is a crucial aspect of online education platforms. Measuring question similarity and evaluating question difficulty are key challenges in achieving this functionality. The current methods for addressing these two problems suffer from a focus on local question features and heavy reliance on manual annotation. Therefore this paper proposes a novel framework, BERT-wwm-ext with Data Augmentation (BEDA), to leverage semantic information rather than local features, automating question similarity measurement and difficulty evaluation with reduced manual annotation. The framework is applied to practical tasks, such as measuring primary school application question similarity and evaluating difficulty. Experimental results demonstrate the superiority of our approach over traditional methods, providing vital support for personalized question recommendations in online education platforms. © 2023 IEEE.

关键词： Semantics

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Macroporous Directed and Interconnected Carbon Architectures Endow Amorphous Silicon Nanodots as Low‑Strain and Fast‑Charging Anode for Lithium‑Ion Batteries

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Nano-Micro Letters 2024年第5期16卷 333-351页

作者： Zhenwei Li Meisheng Han Peilun Yu Junsheng Lin Jie Yu Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic Systems Shenzhen Engineering Lab for Supercapacitor MaterialsSchool of Material Science and EngineeringHarbin Institute of TechnologyShenzhenUniversity TownShenzhen 518055People’s Republic of China Songshan Lake Materials Laboratory Dongguan Dongguan 523808GuangdongPeople’s Republic of China Department of Mechanical and Energy Engineering Southern University of Science and TechnologyShenzhen 518055People’s Republic of China

Fabricating low-strain and fast-charging silicon-carbon composite anodes is highly desired but remains a huge challenge for lithium-ion ***,we report a unique silicon-carbon composite fabricated by uniformly dis-persing amorphous Si nanodots(SiNDs)in carbon nanospheres(SiNDs/C)that are welded on the wall of the macroporous carbon framework(MPCF)by vertical graphene(VG),labeled as MPCF@VG@SiNDs/*** high dispersity and amor-phous features of ultrasmall SiNDs(~0.7 nm),the flexible and directed electron/Li+transport channels of VG,and the MPCF impart the MPCF@VG@SiNDs/C more lithium storage sites,rapid Li+transport path,and unique low-strain property during Li+***,the MPCF@VG@SiNDs/C exhibits high cycle stability(1301.4 mAh g^(-1) at 1 A g^(-1) after 1000 cycles without apparent decay)and high rate capacity(910.3 mAh g^(-1),20 A g^(-1))in half cells based on industrial electrode *** assembled pouch full cell delivers a high energy density(1694.0 Wh L^(-1);602.8 Wh kg^(-1))and an excellent fast-charging capability(498.5 Wh kg^(-1),charging for 16.8 min at 3 C).This study opens new possibilities for preparing advanced silicon-carbon com-posite anodes for practical applications.

关键词： Amorphous Si nanodots Low-strain Fast-charging Lithium-ion batteries

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Transport performance of a dimer in inertial frictional ratchets

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Communications in Theoretical Physics 2024年第12期76卷 155-165页

作者： Li-Ming Fan Bao-quan Ai Jin-can Chen Tian-fu Gao Zhi-gang Zheng College of Physical Science and Technology Shenyang Normal UniversityShenyang 110034China Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials School of Physics and Telecommunication EngineeringSouth China Normal UniversityGuangzhou 510006China Department of Physics Xiamen UniversityXiamen 361005China Institute of Systems Science(ISS) Huaqiao UniversityXiamen 361021China College of Information Science and Engineering Huaqiao UniversityXiamen 361021China

This investigation focuses on the under-damped Brownian transport of a dimer characterized by two harmonically interacting *** friction coefficients between the dimer components are different;thus the dynamic symmetry of the system is *** addition,the inertial ratchets are synchronously modulated by the feedback control protocol in ***,we analyze the transport performance by studying the average velocity and energy conversion efficiency of the dimer induced by friction symmetry breaking and external ***,we can also identify the enhancement of the centre-of-mass mean velocity and energy conversion efficiency of inertial frictional ratchets for intermediate values of the driving amplitude,coupling strength and damping ***,in the weak bias case,the directed transport of inertial Brownian particles can be reversed twice by modulating the suitable friction of the *** particular,the frictional ratchets can acquire a series of resonant steps under the influence of harmonic *** conclusions of reliable transport in noisy environments are expected to provide insights into the performance of natural molecular motors.

关键词： frictional ratchets stochastic energetics theory transport performance energy conversion efficiency

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Manipulating Zr/Ti ratio based on phase diagram for large electrocaloric effects with multiple target operation temperatures in PLZT ceramics

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Journal of Advanced Ceramics 2024年第9期13卷 1422-1431页

作者： Junjie Li Ruowei Yin Zhe Xiong Yizheng Bao Xing Zhang Wenjuan Wu Lezhong Li Yang Bai Sichuan Province Key Laboratory of Information Materials and Devices Application College of Optoelectronic Engineeringand Chengdu IC Valley Industrial CollegeChengdu University of Information TechnologyChengdu 610225China Beijing Advanced Innovation Center for Materials Genome Engineering and Institute for Advanced Materials and TechnologyUniversity of Science and Technology BeijingBeijing 100083China Chengdu Hongming Electronics Co. Ltd.Chengdu 610199China Key Laboratory of Inorganic Functional Materials and Devices Shanghai Institute of CeramicsChinese Academy of SciencesShanghai 201800China Sichuan Meteorological Optoelectronic Sensor Technology and Application Engineering Research Center Chengdu University of Information TechnologyChengdu 610225China

Ferroelectric phase transition has been identified as a promising avenue for designing high-performanceelectrocaloric materials for zero-emission and solid-state refrigeration. However, extensive research has been limited todeveloping ferroelectric materials with large electrocaloric effects near room temperature, preventing them from meetingdiverse refrigeration requirements. In this study, by leveraging the room-temperature phase diagram of the (PbLa)(ZrTi)O_(3)solution, we prepared a series of Pb_(0.775)La_(0.15)Zr_(x)Ti_(1−x)O_(3) bulk ceramics spanning the ferroelectric and relaxor ferroelectricphase regions. This enabled the attainment of various phase transition features and temperatures. Finally, largeelectrocaloric effects, coupled with adjustable operation temperatures ranging from 150 to −45℃, are successfullyachieved through manipulation of the Zr/Ti ratio. This comprehensive range of operation temperatures effectively addressesdiverse refrigeration application requirements, ranging from industrial equipment to freezer cabinets. This work not onlyunderscores the expansion of the electrocaloric refrigeration application domain but also proposes a material designstrategy tailored to meet these evolving demands.

关键词： electrocaloric effect phase transition phase diagram ferroelectric ceramics

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Distributed Optimization and Scaling Design for Solving Sylvester Equations

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Journal of systems science & Complexity 2024年第6期37卷 2487-2510页

作者： CHENG Songsong YU Xin ZENG Xianlin LIANG Shu HONG Yiguang Anhui Engineering Laboratory of Human-Robot Integration System and Intelligent Equipment School of Electrical Engineering and AutomationAnhui UniversityHefei 230601China Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of TechnologyBeijing 100081China Department of Control Science and Engineering Tongji UniversityShanghai 201804China Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghai 201210China

This paper develops distributed algorithms for solving Sylvester *** authors transform solving Sylvester equations into a distributed optimization problem,unifying all eight standard distributed matrix *** the authors propose a distributed algorithm to find the least squares solution and achieve an explicit linear convergence *** results are obtained by carefully choosing the step-size of the algorithm,which requires particular information of data and Laplacian *** avoid these centralized quantities,the authors further develop a distributed scaling technique by using local information *** a result,the proposed distributed algorithm along with the distributed scaling design yields a universal method for solving Sylvester equations over a multi-agent network with the constant step-size freely chosen from configurable ***,the authors provide three examples to illustrate the effectiveness of the proposed algorithms.

关键词： Distributed optimization least squares solution linear convergence rate step-size interval Sylvester equation

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An Interpretable Fine-Tuned BERT Approach for Phishing URLs Detection: A Superior Alternative to Feature engineering 11

An Interpretable Fine-Tuned BERT Approach for Phishing URLs ...

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11th IEEE International Conference on Social Networks Analysis, Management and Security, SNAMS 2024

作者： Wei, Yi Nakayama, Masaya Sekiya, Yuji Graduate School of Engineering The University of Tokyo Department of Electrical Engineering and Information Systems Tokyo Japan The University of Tokyo Information Technology Center Tokyo Japan Graduate School of Information Science and Technology The University of Tokyo Tokyo Japan

ISBN: (纸本)9798331518349

Phishing is a kind of cybercrime that deceives online users into disclosing confidential information, leading to identity theft and financial loss. Attackers typically use a wide range of vectors to spread phishing links, further increasing the reach and effectiveness of these malicious campaigns. As this threat continues to grow, artificial intelligence strategies have emerged as a promising solution for phishing detection in recent years. However, traditional methods that require substantial manual feature engineering have been observed to be dataset-dependent and lack generalization to unknown or newly evolving phishing attacks. To address these limitations, this study proposes a fine-Tuned BERT model-based phishing detection approach utilizing a novel tokenization method and providing interpretable outputs. By thoroughly searching the latest publicly available datasets, the generalization capabilities of both feature engineering methodologies and the proposed approach are tested. The experimental results demonstrate its effectiveness, significantly surpassing feature engineering, and ensuring the approach remains robust in generalizing across different datasets. © 2024 IEEE.

关键词： Phishing

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Directional Antenna UAVs Networking Algorithm Based on On-Demand-Weighted Clustering 22

Directional Antenna UAVs Networking Algorithm Based on On-De...

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22nd International Conference on Optical Communications and Networks, ICOCN 2024

作者： Zheng, Ruoqi Zhang, Qi Xin, Xiangjun Zhao, Tonggang Chai, Furong Tian, Feng Wang, Fu Tian, Qinghua Yang, Leijing Li, Yuanfeng Sun, Meng Wang, Yongjun Beijing100876 China BUPT Beijing Key Laboratory of Space-ground Interconnection and Convergence Beijing100876 China National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory Changsha410073 China School of Information and Electronics Beijing Institute of Technology Beijing100081 China

To solve the problem of cluster configuration for unmanned aerial vehicle (UAV) networks in highly dynamic environments, a directional antenna UAVs network algorithm based on demand-weighted clustering is proposed to ... 详细信息

ISBN: (纸本)9798350367652

关键词： Unmanned aerial vehicles (UAV)

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From animal collective behaviors to swarm robotic cooperation

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National science Review 2023年第5期10卷 82-99页

作者： Haibin Duan Mengzhen Huo Yanming Fan State Key Laboratory of Virtual Reality Technology and Systems School of Automation Science and Electrical EngineeringBeihang University Virtual Reality Fundamental Research Laboratory Department of Mathematics and TheoriesPeng Cheng Laboratory AVIC Shenyang Aircraft Design and Research Institute

The collective behaviors of animals,from schooling fish to packing wolves and flocking birds,display plenty of fascinating phenomena that result from simple interaction rules among *** emergent intelligent properties of the animal collective behaviors,such as self-organization,robustness,adaptability and expansibility,have inspired the design of autonomous unmanned swarm *** article reviews several typical natural collective behaviors,introduces the origin and connotation of swarm intelligence,and gives the application case of animal collective *** this basis,the article focuses on the forefront of progress and bionic achievements of aerial,ground and marine robotics swarms,illustrating the mapping relationship from biological cooperative mechanisms to cooperative unmanned cluster ***,considering the significance of the coexisting-cooperative-cognitive human-machine system,the key technologies to be solved are given as the reference directions for the subsequent exploration.

关键词： collective behaviors swarm intelligence cooperative robotics swarm human-machine system

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EGSST: Event-based Graph Spatiotemporal Sensitive Transformer for Object Detection 38

EGSST: Event-based Graph Spatiotemporal Sensitive Transforme...

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38th Conference on Neural information Processing systems, NeurIPS 2024

作者： Wu, Sheng Sheng, Hang Feng, Hui Hu, Bo School of Information Science and Technology Fudan University China State Key Laboratory of Integrated Chips and Systems Fudan University China

Event cameras provide exceptionally high temporal resolution in dynamic vision systems due to their unique event-driven mechanism. However, the sparse and asynchronous nature of event data makes frame-based visual processing methods inappropriate. This study proposes a novel framework, Event-based Graph Spatiotemporal Sensitive Transformer (EGSST), for the exploitation of spatial and temporal properties of event data. Firstly, a well-designed graph structure is employed to model event data, which not only preserves the original temporal data but also captures spatial details. Furthermore, inspired by the phenomenon that human eyes pay more attention to objects that produce significant dynamic changes, we design a Spatiotemporal Sensitivity Module (SSM) and an adaptive Temporal Activation Controller (TAC). Through these two modules, our framework can mimic the response of the human eyes in dynamic environments by selectively activating the temporal attention mechanism based on the relative dynamics of event data, thereby effectively conserving computational resources. In addition, the integration of a lightweight, multi-scale Linear Vision Transformer (LViT) markedly enhances processing efficiency. Our research proposes a fully event-driven approach, effectively exploiting the temporal precision of event data and optimising the allocation of computational resources by intelligently distinguishing the dynamics within the event data. The framework provides a lightweight, fast, accurate, and fully event-based solution for object detection tasks in complex dynamic environments, demonstrating significant practicality and potential for application. The source code can be found at: EGSST. © 2024 Neural information processing systems foundation. All rights reserved.

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A path planning method based on deep reinforcement learning for crowd evacuation

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Journal of Ambient Intelligence and Humanized Computing 2024年第6期15卷 2925-2939页

作者： Meng, Xiangdong Liu, Hong Li, Wenhao School of Information Science and Engineering Shandong Normal University Jinan250014 China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan250014 China

Deep reinforcement learning (DRL) is suitable for solving complex path-planning problems due to its excellent ability to make continuous decisions in a complex environment. However, the increase in the population size in the crowd evacuation path-planning problem causes a substantial computational burden for the algorithm, which leads to an unsatisfactory efficiency of the current DRL algorithm. This paper presents a path planning method based on DRL for crowd evacuation to solve the problem. First, we divide crowds into groups based on their relationship and distance from each other and select leaders from them. Next, we expand the Multi-Agent Deep Deterministic Policy Gradient (MADDPG) to propose an Optimized Multi-Agent Deep Deterministic Policy Gradient (OMADDPG) algorithm to obtain the global evacuation path. The OMADDPG algorithm uses the Cross-Entropy Method (CEM) to optimize policy and improve the neural network’s training efficiency by applying the Data Pruning (DP) algorithm. In addition, the social force model is improved, incorporating the relationship between individuals and psychological factors into the model. Finally, this paper combines the improved social force model and the OMADDPG algorithm. The OMADDPG algorithm transmits the path information to the leaders. Pedestrians in the environment are driven by the improved social force model to follow the leaders to complete the evacuation simulation. The method can use a leader to guide pedestrians safely arrive the exit and reduce evacuation time in different environments. The simulation results prove the efficiency of the path planning method. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Motion planning

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