检索结果-内蒙古大学图书馆

Adaptive Multi-strategy Rabbit Optimizer for Large-scale Optimization

Journal of Bionic engineering 2025年第1期22卷 398-416页

作者： Baowei Xiang Yixin Xiang Department of Computing School of Electronic and Information Engineering Taizhou UniversityTaizhou318000China Department of Software Engineering College of Software Nankai UniversityTianjin300350China

As optimization problems continue to grow in complexity,the need for effective metaheuristic algorithms becomes increasingly ***,the challenge lies in identifying the right parameters and strategies for these *** this paper,we introduce the adaptive multi-strategy Rabbit Algorithm(RA).RA is inspired by the social interactions of rabbits,incorporating elements such as exploration,exploitation,and adaptation to address optimization *** employs three distinct subgroups,comprising male,female,and child rabbits,to execute a multi-strategy *** parameters,including distance factor,balance factor,and learning factor,strike a balance between precision and computational *** offer practical recommendations for fine-tuning five essential RA parameters,making them versatile and *** is capable of autonomously selecting adaptive parameter settings and mutation strategies,enabling it to successfully tackle a range of 17 CEC05 benchmark functions with dimensions scaling up to *** results underscore RA’s superior performance in large-scale optimization tasks,surpassing other state-of-the-art metaheuristics in convergence speed,computational precision,and ***,RA has demonstrated its proficiency in solving complicated optimization problems in real-world engineering by completing 10 problems in CEC2020.

关键词： Adaptive parameter Large scale optimization Rabbit algorithm Swarm intelligence engineering optimization

来源：评论

学校读者我要写书评

暂无评论

Joint contrastive learning and belief rule base for named entity recognition in cybersecurity

引用

Cybersecurity 2025年第2期8卷 174-187页

作者： Chenxi Hu Tao Wu Chunsheng Liu Chao Chang College of Electronic Engineering National University of Defense TechnologyHefeiChina Department of Computing The Hong Kong Polytechnic UniversityHong KongChina

Named Entity Recognition(NER)in cybersecurity is crucial for mining information during cybersecurity *** methods rely on pre-trained models for rich semantic text embeddings,but the challenge of anisotropy may affect subsequent encoding ***,existing models may struggle with noise *** address these issues,we propose JCLB,a novel model that Joins Contrastive Learning and Belief rule base for NER in *** utilizes contrastive learning to enhance similarity in the vector space between token sequence representations of entities in the same category.A Belief Rule Base(BRB)is developed using regexes to ensure accurate entity identification,particularly for fixed-format phrases lacking ***,a Distributed Constraint Covariance Matrix Adaptation Evolution Strategy(D-CMA-ES)algorithm is introduced for BRB parameter *** results demonstrate that JCLB,with the D-CMA-ES algorithm,significantly improves NER accuracy in cybersecurity.

关键词： Named entity recognition Cybersecurity Contrastive learning Belief rule base

来源：评论

学校读者我要写书评

暂无评论

Energy-Efficient Dynamic Configurable Datapath Architecture for IoT Devices

引用

Journal of Communications and Information Networks 2024年第3期9卷 251-261页

作者： Ruizhe Zhang Junhui Liu Han Wang Li Lu Laboratory of Intelligent Collaborative Computing University of Electronic Science and Technology of ChinaChengdu 611731China School of Computer Science and Engineering University of Electronic Science and Technology of ChinaChengdu 611731China

This paper introduces a novel RISC-V processor architecture designed for ultra-low-power and energy-efficient applications,particularly for Internet of things(IoT)*** architecture enables runtime dynamic reconfiguration of the datapath,allowing efficient balancing between computational performance and power *** is achieved through interchangeable components and clock gating mechanisms,which help the processor adapt to varying workloads.A prototype of the architecture was implemented on a Xilinx Artix 7 field programmable gate array(FPGA).Experimental results show significant improvements in power efficiency and *** mini configuration achieves an impressive reduction in power consumption,using only 36%of the baseline ***,the full configuration boosts performance by 8%over the *** flexible and adaptable nature of this architecture makes it highly suitable for a wide range of low-power IoT applications,providing an effective solution to meet the growing demands for energy efficiency in modern IoT devices.

关键词： dynamic reconfiguration Internet of things(IoT) power efficiency RISC-V

来源：评论

学校读者我要写书评

暂无评论

More Than Lightening:A Self-Supervised Low-Light Image Enhancement Method Capable for Multiple Degradations

引用

IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 622-637页

作者： Han Xu Jiayi Ma Yixuan Yuan Hao Zhang Xin Tian Xiaojie Guo the Electronic Information School Wuhan UniversityWuhan 430072China IEEE the Department of Electronic Engineering Chinese University of Hong KongHong Kong 999077China the College of Intelligence and Computing Tianjin UniversityTianjin 300350China

Low-light images suffer from low quality due to poor lighting conditions,noise pollution,and improper settings of *** enhance low-light images,most existing methods rely on normal-light images for guidance but the collection of suitable normal-light images is *** contrast,a self-supervised method breaks free from the reliance on normal-light data,resulting in more convenience and better *** self-supervised methods primarily focus on illumination adjustment and design pixel-based adjustment methods,resulting in remnants of other degradations,uneven brightness and *** response,this paper proposes a self-supervised enhancement method,termed as *** can handle multiple degradations including illumination attenuation,noise pollution,and color shift,all in a self-supervised *** attenuation is estimated based on physical principles and local neighborhood *** removal and correction of noise and color shift removal are solely realized with noisy images and images with color ***,the comprehensive and fully self-supervised approach can achieve better adaptability and *** is applicable to various low light conditions,and can reproduce the original color of scenes in natural *** experiments conducted on four public datasets demonstrate the superiority of SLIE to thirteen state-of-the-art *** code is available at https://***/hanna-xu/SLIE.

关键词： Color correction low-light image enhancement self-supervised learning.

来源：评论

学校读者我要写书评

暂无评论

Higher-order Method of Moments Analysis of Waveguide with Irregular Cross-sections

引用

Applied Computational Electromagnetics Society Journal 2025年第2期40卷 89-95页

作者： Ding, Ning Lin, Zhongchao Yin, Lei Zhao, Xunwang Zhang, Yu School of Electronic Engineering Xidian University Xi’an71000 China Shaanxi Key Laboratory of Large-Scale Electromagnetic Computing Xi’an71000 China

– Antennas fed by waveguides with irregular cross-sections are efficiently simulated through the hybridization of the mode-matching (MM) method and the higher-order method of moments (HOMoM). To obtain the waveguide modes required in the MM method, a 2-D finite element method (FEM) is utilized and combined with the hybrid MM/HOMoM method, which enables the proposed method to model irregular waveports. The accuracy and efficiency of the proposed method are demonstrated by simulating log-periodic antennas (LPAs) and an asymmetric single-ridge slot waveguide antenna. © ACES.

关键词： Eigenvalues and eigenfunctions

来源：评论

学校读者我要写书评

暂无评论

Model Predictive Current Control for Low-Cost Shunt Active Power Filter

引用

CSEE Journal of Power and Energy Systems 2024年第4期10卷 1589-1598页

作者： Ali A.Abdel-Aziz Mohamed A.Elgenedy Barry W.Williams the Electronic and Electrical Engineering Department Strathclyde UniversityGlasgowG11XQUK School of Computing Engineering and the Built Environment(SCEBE)Glasgow Caledonian UniversityGlasgowG40BAUK

Performance of a three-phase shunt active power filter(SAPF)relies on the capability of the controller to track the reference ***,designing an accurate current controller is crucial to guarantee satisfactory SAPF *** paper presents a model predictive current controller(MPCC)for a low-cost,four-switch,shunt active power filter for power quality improvement.A four-switch,B4,converter topology is adopted as an SAPF,hence offering a simple,robust,and low-cost *** addition,to further reduce overall cost,only two interfacing filter inductors,instead of three,are used to eliminate switching current *** proposed SAPF model MPCC is detailed for implementation,where simulation and experimental results validate effectiveness of the proposed control algorithm showing a 20%improvement in total harmonic distortion compared with a conventional hysteresis band current controller.

关键词： Four-switch converter harmonic distortion model predictive current control power quality shunt active power filter

来源：评论

学校读者我要写书评

暂无评论

A Practical Study of Intelligent Image-Based Mobile Robot for Tracking Colored Objects

引用

Computers, Materials & Continua 2024年第8期80卷 2181-2197页

作者： Mofadal Alymani Mohamed Esmail Karar Hazem Ibrahim Shehata College of Computing and Information Technology Shaqra UniversityShaqra11961Saudi Arabia Faculty of Electronic Engineering Menoufia UniversityMenouf32952Egypt Faculty of Engineering Zagazig UniversityZagazig44519Egypt

Object tracking is one of the major tasks for mobile robots in many real-world ***,artificial intelligence and automatic control techniques play an important role in enhancing the performance of mobile robot *** contrast to previous simulation studies,this paper presents a new intelligent mobile robot for accomplishing multi-tasks by tracking red-green-blue(RGB)colored objects in a real experimental ***,a practical smart controller is developed based on adaptive fuzzy logic and custom proportional-integral-derivative(PID)schemes to achieve accurate tracking results,considering robot command delay and tolerance *** design of developed controllers implies some motion rules to mimic the knowledge of experienced *** scenarios of three colored object combinations have been successfully tested and evaluated by using the developed controlled image-based robot *** PID control failed to handle some tracking scenarios in this *** proposed adaptive fuzzy PID control achieved the best accurate results with the minimum average final error of 13.8 cm to reach the colored targets,while our designed custom PID control is efficient in saving both average time and traveling distance of 6.6 s and 14.3 cm,*** promising results demonstrate the feasibility of applying our developed image-based robotic system in a colored object-tracking environment to reduce human workloads.

关键词： Mobile robot autonomous systems fuzzy logic control real-time image processing

来源：评论

学校读者我要写书评

暂无评论

Distributed optimal consensus control for multiagent systems based on event-triggered and prioritized experience replay strategies

引用

Science China(Information Sciences) 2025年第1期68卷 306-321页

作者： Cuijuan ZHANG Lianghao JI Shasha YANG Xing GUO Huaqing LI Chongqing Key Laboratory of Image Cognition Chongqing University of Posts and Telecommunications Key Laboratory of Intelligent Perception and Computing of Anhui Province Anqing Normal University College of Electronic and Information Engineering Southwest University

This study uses event-triggered(ET) and reinforcement learning methods to investigate the optimal consensus control problem for cooperative-competitive multiagent systems. It proposes a novel distributed ET control strategy, which relies on a prioritized experience replay(PER) policy. This strategy not only conserves communication resources but also ensures acceptable system performance. To implement the proposed method, actor-critic(AC) dual-structured neural networks(NNs) are used to approximate the value function and control policy. In the AC NNs, the weight estimates for the NNs are updated at the moment of event triggering, resulting in a nonperiodic weight adjustment pattern. This approach decreases the computational cost in comparison with the traditional ET mechanism. The PER-based ET mechanism makes full use of valid historical data and effectively establishes a balance between system performance and communication resource ***, it does not require the following two conditions in most existing studies:(1) requirement of the system dynamics model to be known, and(2) persistent excitation. In addition, Zeno behavior is excluded from this study. Finally, a simulation is conducted to confirm the validity of the suggested approach.

关键词： multiagent systems event-triggered mechanism prioritized experience replay dual-structured neural networks optimal consensus control

来源：评论

学校读者我要写书评

暂无评论

Commercial Applications of 3D Human Pose Estimation in Biotechnology: A Two-Stage Fusion with Multi-Feature Integration Approach

引用

Journal of Commercial Biotechnology 2024年第3期29卷 402-415页

作者： Ge, Xianlei Mariano, Vladimir College of Computing and Information Technologies National University Manila1008 Philippines School of Electronic Engineering Huainan Normal University Huainan232038 China

Three-dimensional human pose estimation (3D-HPE) has rapidly advanced as a critical area of research within computer vision, demonstrating significant potential for biotechnological applications. This paper introduces an innovative approach to enhance the accuracy of 3D-HPE, utilizing a two-stage model with a multi-feature fusion technique. The model employs convolutional kernels of varying sizes to extract feature maps from different receptive fields, resolutions, and dimensions. Initially, these feature maps are fused with the 2D coordinates of key joint points from the input frame. Subsequently, in the second stage, the fused feature maps are integrated with the feature points of 2D key joints to accurately predict the 3D key joints of the human body. Experimental analyses on the Human3.6M dataset indicate that our proposed method significantly outperforms existing approaches, achieving improvements of 9.47% in Mean Per Joint Position Error (MPJPE) and 8.55% in Procrustes-aligned MPJPE. These metrics are essential for gauging the precision of pose estimations, crucial in applications such as humancomputer interaction (HCI), motion analysis, and virtual reality—areas of growing interest within the biotechnology sector. The two-stage model with multi-feature fusion not only offers a more precise method for 3D-HPE but also opens avenues for commercial applications, particularly in medical diagnostics, physical therapy, and personalized healthcare solutions. The results underscore the commercial viability and significant potential of the proposed approach to contribute effectively to advancements in biotechnological practices, enhancing both the accuracy and applicability of 3D pose estimation in real-world scenarios. © 2024, Journal of Commercial Biotechnology. All rights reserved.

关键词： Personalized medicine

来源：评论

学校读者我要写书评

暂无评论

Traffic Control Based on Integrated Kalman Filtering and Adaptive Quantized Q-Learning Framework for Internet of Vehicles

引用

Computer Modeling in engineering & Sciences 2024年第3期138卷 2103-2127页

作者： Othman S.Al-Heety Zahriladha Zakaria Ahmed Abu-Khadrah Mahamod Ismail Sarmad Nozad Mahmood Mohammed Mudhafar Shakir Hussein Alsariera Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia Melaka(UTeM)Durian TunggalMalaysia College of Computing&Informatics Saudi Electronic UniversityRiyadhSaudi Arabia Department of Electrical Electronic and System EngineeringUniversiti Kebangsaan MalaysiaUKM BangiSelangorMalaysia Computer Technology Engineering College of Engineering TechnologyAl-Kitab UniversityKirkukIraq Faculty of Engineering and Electronic Engineering Universiti Tun Hussein Onn Malaysia(UTHM)Batu PahatMalaysia 6Research Center DepartmentThe University of MashreqBaghdadIraq

Intelligent traffic control requires accurate estimation of the road states and incorporation of adaptive or dynamically adjusted intelligent algorithms for making the *** this article,these issues are handled by proposing a novel framework for traffic control using vehicular communications and Internet of Things *** framework integrates Kalman filtering and *** smoothing Kalman filtering,our data fusion Kalman filter incorporates a process-aware model which makes it superior in terms of the prediction *** traditional Q-learning,our Q-learning algorithm enables adaptive state quantization by changing the threshold of separating low traffic from high traffic on the road according to the maximum number of vehicles in the junction *** evaluation,the model has been simulated on a single intersection consisting of four roads:east,west,north,and south.A comparison of the developed adaptive quantized Q-learning(AQQL)framework with state-of-the-art and greedy approaches shows the superiority of AQQL with an improvement percentage in terms of the released number of vehicles of AQQL is 5%over the greedy approach and 340%over the state-of-the-art ***,AQQL provides an effective traffic control that can be applied in today’s intelligent traffic system.

关键词： Q-learning intelligent transportation system(ITS) traffic control vehicular communication kalman filtering smart city Internet of Things

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：