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2023 IEEE International Conference on Memristive Computing and Applications, ICMCA 2023

作者： Huang, Lili Zang, Hongyan Lei, Tengfei Li, Na Fu, Haiyan Liu, Aidi Jinan China School of Intelligent Manufacturing and Control Engineering Qilu Institute of Technology Jinan China School of Computer and Information Engineering Qilu Institute of Technology Jinan China

ISBN: (纸本)9798350316230

In this paper, a novel heterogeneous neural network is proposed by coupling improved memristor 2D HR neuron and 1D HNN neuron with locally active memristor. The effect of coupling intensity on synchronization behavior is analyzed. The results show that the increase in coupling intensity will lead to phase synchronization of the system. The coexistence of the firing pattern caused by the initial enhancement of the memristor is quantitatively analyzed and numerically simulated by introducing a multistable auto memristor. The results show that the newly constructed heterogeneous neural network exhibits an attractor bias pattern that enhances the initial migration behavior of the memristor, and these patterns have extreme multi-stability. © 2023 IEEE.

关键词： Memristors

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A Novel Approximation Algorithm for Max-Covering Circle Problem 16th

A Novel Approximation Algorithm for Max-Covering Circle Pro...

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16th Annual International Conference on Combinatorial Optimization and Applications, COCOA 2023

作者： Zhang, Kaiqi Zhang, Siyuan Gao, Jirun Wang, Hongzhi Gao, Hong Li, Jianzhong School of Computer Science and Technology Harbin Institute of Technology Harbin China School of Computer Science and Technology Zhejiang Normal University Jinhua China Faculty of Computer Science and Control Engineering Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China

ISBN: (纸本)9783031496103

We study the efficient approximation algorithm for max-covering circle problem. Given a set of weighted points in the plane and a circle with specified size, max-covering circle problem is to find the proper place where the center of the circle is located so that the total weight of the points covered by the circle is maximized. Our core approach is to approximate the circle with a symmetrical rectilinear polygon (SRP). We first present a method to construct the circumscribed SRP of a given circle and disclose their area relationship. Then, we convert max-covering SRP problem to SRP intersection problem, which can be efficiently solved with simple partition and modification based on the existing method. Finally, the optimal solution returned from max-covering SRP problem can be used to produce an approximate answer to max-covering circle problem. We prove that for most of the inputs, our algorithm can give a (1 - Ε) approximation to the optimal solution, which only needs O(nΕ-1logn+nΕ-1log(1Ε)) time for unit points and o(nΕ-2logn) time for weighted points. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Approximation algorithms

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Motion planning for robotics:A review for sampling-based planners

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Biomimetic Intelligence & Robotics 2025年第1期5卷 15-34页

作者： Liding Zhang Kuanqi Cai Zewei Sun Zhenshan Bing Chaoqun Wang Luis Figueredo Sami Haddadin Alois Knoll School of Computation Information and Technology(CIT)Technical University of MunichMunich 85748Germany Munich Institute of Robotics and Machine Intelligence(MIRMI) Technical University of MunichMunich 80992Germany School of Control Science and Engineering Shandong UniversityJinan 250061China School of Computer Science University of NottinghamNottingham 315199United Kingdom

Recent advancements in robotics have transformed industries such as manufacturing,logistics,surgery,and planetary exploration.A key challenge is developing efficient motion planning algorithms that allow robots to navigate complex environments while avoiding collisions and optimizing metrics like path length,sweep area,execution time,and energy *** the available algorithms,sampling-based methods have gained the most traction in both research and industry due to their ability to handle complex environments,explore free space,and offer probabilistic completeness along with other formal *** their widespread application,significant challenges still *** advance future planning algorithms,it is essential to review the current state-of-the-art solutions and their *** this context,this work aims to shed light on these challenges and assess the development and applicability of sampling-based ***,we aim to provide an in-depth analysis of the design and evaluation of ten of the most popular planners across various *** findings highlight the strides made in sampling-based methods while underscoring persistent *** work offers an overview of the important ongoing research in robotic motion planning.

关键词： Robotics Motion planning Sampling-based algorithms

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An Ontology-based Three-Stage Approach to Medical Text Classification with Feature Selection by Particle Swarm Optimisation 28th

An Ontology-based Three-Stage Approach to Medical Text Class...

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28th International Conference on Knowledge Based and Intelligent information and engineering Systems, KES 2024

作者： Abdollahi, Mahdi Gao, Xiaoying Mei, Yi Ghosh, Shameek Li, Jinyan Narag, Michael School of Engineering and Computer Science Victoria University of Wellington Wellington New Zealand Founder & CTO Medius Health Sydney Australia Faculty of Computer Science and Control Engineering Shenzhen University of Advanced Technology Shenzhen518055 China

The document classification (DC) task assigns predefined classes to unlabeled documents using trained models. In the medical field, DC is crucial for tasks like categorizing risk factors and classifying electronic health records. This paper addresses challenges in medical document analysis, such as the prevalence of abbreviations and acronyms. Existing classification performance in medical documents is suboptimal. The paper introduces novel feature engineering methods leveraging domain-specific knowledge to enhance classification performance. Results indicate that the Three-Stage approach surpasses related works, showcasing improved medical document classification performance. © 2024 The Authors.

关键词： Particle swarm optimization (PSO)

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A Light Spot Centroid Determination Method for Accurate Digital Refractometer 23

A Light Spot Centroid Determination Method for Accurate Digi...

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23rd International Conference on control, Automation and Systems, ICCAS 2023

作者： Wang, Zhenxing Jia, Zhenyuan School of Computer and Information Engineering Shanghai Polytechnic University Shanghai201209 China School of Intelligent Manufacturing and Control Engineering Shanghai Polytechnic University Shanghai201209 China

ISBN: (纸本)9788993215274

In this paper, we propose the development of a highly stable and low-cost refractometer for measuring the sucrose concentration. Laboratory-grade refractometers are prohibitively costly and impractical for everyday applications, while currently accessible low-cost commercial alternatives suffer from insufficient stability and precision. To address this gap, our proposed refractometer replaces the costly CCD sensor and light source with a conventional LED and a cost-effective CMOS sensor. By analyzing the output waveform pattern, we achieve high precision with an accuracy of 0.1%, which is suitable for individual use. We repeat 100 measurements on various samples to determine the dependability and consistency of our refractometer, and the results demonstrate its accuracy. The algorithm operates on a 480 MHz ARM processor and acquires data within 20mS. Our instrument provides an affordable and reliable method for measuring sucrose concentration and demonstrates stability and accuracy compared to existing cost-effective options. © 2023 ICROS.

关键词： Light sources

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Study of milk concentration detection based on the AC signal-modulated LED 2

Study of milk concentration detection based on the AC signal...

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2nd Conference on Biomedical Photonics and Cross-Fusion, BPC 2023

作者： Haonan, Xing Xiaoqi, Wei Lin, Gui Mingyu, Cao Xuhuix, Chen Cunliang, Cheng School of Intelligent Manufacturing and Control Engineering Shanghai Polytechnic University Shanghai201209 China School of Computer and Information Engineering Shanghai Polytechnic University Shanghai201209 China

ISBN: (数字)9781510667556

ISBN: (纸本)9781510667549

As milk consumption increases, rapid detection of milk concentration is becoming more and more crucial. In this research, we propose an LED-based milk concentration detection system, which is a new detection method that detects milk concentration by loading the LED with RF signals. The system includes an arbitrary waveform generator (AWG), LED, lampshade, silicon photo dioxide (PD), oscilloscope, and other components. After passing through different concentrations of milk solution, the light signal carrying a specific frequency is received by the PD, and after photoelectric conversion, the signal carrying a specific frequency in the light signal is converted out, and the concentration of the milk solution to be measured is obtained by reading the peak value measured by the oscilloscope. The experiments validated different brands of milk solutions with varying concentrations, demonstrating the feasibility of LED-based milk concentration detection, and the test analysis was performed for the same brand of milk solutions with varying concentrations, yielding a quadratic fit R2=0.9169, confirming that the system has good sensing performance for milk concentration and validating the method's feasibility. © 2023 SPIE.

关键词： Light emitting diodes

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The Design and Implementation of a Secure Time Distribution System Based on Blockchain Oracle 1

The Design and Implementation of a Secure Time Distribution ...

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1st International Conference on Intelligent Manufacturing and Cloud Computing, ICIMCC 2024

作者： Hong, Jianlei Zhao, Jindong Zhang, Xuedong Sun, Yukai Qiu, Xuqiang School of Computer and Control Engineering Yantai University Yantai264005 China Yantai Yantai Chijiu Clock Co. Ltd. Yantai264005 China

ISBN: (纸本)9781643685779

With the proliferation of e-government, e-commerce, and other applications, the demand for secure and accurate time information services has become more and more urgent in various industries. The traditional time distribution service has some risks regarding the security of time information. To cope with this demand, a secure time distribution system based on blockchain oracle is designed and implemented to provide secure and trustworthy time distribution services for internet applications. In the system, the oracle mechanism is used to introduce external time source data into the blockchain to ensure that the time information is accurate and traceable, and the time saved in the blockchain is distributed to the clients through the time synchronization protocol. To address the time delay problem introduced by software operation, a software delay smoothing algorithm is designed to smooth and optimize fluctuating and uncontrollable software delays. The experimental results show that the software delay smoothing algorithm has a smoothing effect of 72.7% on software delays, and the systematic error caused by software delay in this system is 718.0 μs,and the accuracy of the timestamps distributed to clients reaches the microsecond level. Compared with traditional methods, the secure time distribution system based on blockchain oracles significantly improves the accuracy of blockchain timestamps, and utilizes the decentralized and tamper-proof characteristics of blockchain to add a "traceable" feature to each timestamp, which can provide trustworthy time services for financial transactions, e-government affairs, and other key areas. © 2025 The Authors.

关键词： Blockchain Oracle time distribution

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Viewpoint Optimization using Genetic Algorithm for Flying Robot Inspection of Electricity Transmission Tower Equipment

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Chinese Journal of Electronics 2025年第2期23卷 426-431页

作者： Guotian Yang Ruifang Dong Hua Wu Chang'an Liu School of Control and Computer Engineering North China Electric Power University Beijing China

To fully exploit the limited flight-time of the flying robot, and ensure the successful visibility of target, viewpoint optimization is proposed in this paper for the inspection of electricity transmission tower equipment with an optimization function to determine the best viewpoints in a local viewpoint region. The local viewpoint regions are generated from the local objective regions which are determined by the geometrical structure of a priori 3D model for the electricity transmission tower equipment. The optimization function is structured based on three factors including visibility, viewing quality and observation distance. In addition, the fitness function of genetic algorithm is used to find the optimal viewpoint. The experimental results demonstrate the effectiveness and efficiency of the proposed viewpoint selection algorithm.

关键词： Solid modeling Three-dimensional displays Electricity Poles and towers Inspection Optimization Robots Drones Genetic algorithms

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Cloud-Edge Intelligent Collaborative Computing Model Based on Transfer Learning in IoT 9th

Cloud-Edge Intelligent Collaborative Computing Model Based o...

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9th International Conference of Pioneering computer Scientists, Engineers and Educators, ICPCSEE 2023

作者： Long, Yang Li, Zhixin School of Information and Control Engineering Jilin Institute of Chemical Technology Jilin132022 China School of Computer Technology and Engineering Changchun Institute of Technology Changchun130012 China

ISBN: (纸本)9789819959679

The deep neural network is a reliable technical support for cloud computing and edge computing. It has excellent nonlinear approximation and generalization capabilities, making it suitable for classifying and predicting Internet of Things data in cloud computing and edge computing fields. However, the increasing size of neural networks poses a challenge for their deployment on devices with limited computing and storage resources. Traditional cloud computing services also suffer from high latency, which hinders real-time tasks. To address these challenges, this paper proposes a cloud-side cooperation model for deep learning based on migration learning technology. This model used migration learning technology to reduce the size of deep neural networks. Specifically, it deployed the deep neural network model (CDLM) in the cloud and the shallow neural network model (EDLM) at the edge. CDLM is used to help train EDLM and improve its performance, enabling it to run independently on edge devices with high accuracy and respond to real-time tasks. This approach reduced the amount of user data transmitted to the cloud, alleviated bandwidth pressure, and protected user privacy. Experimental results show that the proposed model improved the accuracy of EDLM by 19.58% compared with traditional neural network models. These findings provide a theoretical and experimental foundation for the study of cloud-edge collaborative models. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Edge computing

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Simultaneous Placement of Tie-lines and Distributed Generations to Optimize Distribution System Post-outage Operations and Minimize Energy Losses

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CSEE Journal of Power and Energy Systems 2021年第2期7卷 318-328页

作者： Farzaneh Shojaei Mohammad Rastegar Morteza Dabbaghjamanesh Department of Power and Control Engineering School of Electrical and Computer EngineeringShiraz UniversityShirazIran Electrical and Computer Engineering Department The University of Texas at DallasUSA.

This study proposes a new method which aims to optimally install tie-lines and distributed generations *** is done to optimize the post-outage reconfiguration and minimize energy losses and energy not supplied of distribution *** number and location of tie-lines,as well as the number,size,and location of DGs,are pinpointed through teaching the learning-based optimization(TLBO)*** objective function in the current research is to minimize the costs pertaining to the investment,operation,energy losses,and energies not *** addition to the normal operational condition,fault operational condition is also ***,the optimal post-fault reconfigurations for fault occurrences in all lines are ***,the operational constraints such as the voltage and line current limits are taken into account in both normal and post-fault operational ***,the modified IEEE 33-bus and 69-bus distribution test systems are selected and tested to demonstrate the effectiveness of the simultaneous placement of DGs and tie-line technique proposed in this paper.

关键词： Distribution system reliability distributed generation energy loss post-outage reconfiguration tie-lines

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