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LearningEMS:A Unified Framework and Open-Source Benchmark for Learning-Based Energy Management of Electric Vehicles 认领 引用 被引量：2
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作者 Yong Wang Hongwen He +9 位作者 Yuankai Wu Pei Wang Haoyu Wang Renzong Lian Jingda Wu Qin Li Xiangfei Meng Yingjuan Tang Fengchun Sun Amir Khajepour 《Engineering》 SCIE EI CSCD 2025年第11期370-387,共18页
An effective energy management strategy(EMS)is essential to optimize the energy efficiency of electric vehicles(EVs).With the advent of advanced machine learning techniques,the focus on developing sophisticated EMS fo... An effective energy management strategy(EMS)is essential to optimize the energy efficiency of electric vehicles(EVs).With the advent of advanced machine learning techniques,the focus on developing sophisticated EMS for EVs is increasing.Here,we introduce LearningEMS:a unified framework and open-source benchmark designed to facilitate rapid development and assessment of EMS.LearningEMS is distinguished by its ability to support a variety of EV configurations,including hybrid EVs,fuel cell EVs,and plug-in EVs,offering a general platform for the development of EMS.The framework enables detailed comparisons of several EMS algorithms,encompassing imitation learning,deep reinforcement learning(RL),offline RL,model predictive control,and dynamic programming.We rigorously evaluated these algorithms across multiple perspectives:energy efficiency,consistency,adaptability,and practicability.Furthermore,we discuss state,reward,and action settings for RL in EV energy management,introduce a policy extraction and reconstruction method for learning-based EMS deployment,and conduct hardware-in-the-loop experiments.In summary,we offer a unified and comprehensive framework that comes with three distinct EV platforms,over 10000 km of EMS policy data set,ten state-of-the-art algorithms,and over 160 benchmark tasks,along with three learning libraries.Its flexible design allows easy expansion for additional tasks and applications.The open-source algorithms,models,data sets,and deployment processes foster additional research and innovation in EV and broader engineering domains. 展开更多
关键词 Energy management Electric vehicles Reinforcement learning Machine learning Open-source benchmark
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License Fees for Standard Essential Patents: Pricing Method, Application Dilemma and Improvement Suggestion 认领 引用 被引量：1
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作者 An Yunmeng Deng Jie 《科技与法律（中英文）》 CSSCI 2025年第3期134-148,共15页
In essence,the negotiation of license fees on standard essential patent(SEP)belongs to a kind of market be⁃havior,and the pricing right should be given to the market subjects under the requirements of patent law.In re... In essence,the negotiation of license fees on standard essential patent(SEP)belongs to a kind of market be⁃havior,and the pricing right should be given to the market subjects under the requirements of patent law.In recent years,the frequent disputes on SEP license fees witnessed in the industrial and academic worlds,together with the lack of systematic supporting functions like FRAND,make SEP pricing excessively reliant on judicial judgment in practice.Fortunately,a variety of pricing methods have been proposed by theoretical research and practiced in judicial cases,which provide possible solutions for the license fee pricing of SEP from the operational level.In this paper,by focusing on the characteristics of the existing SEP pricing methods in the academic fields and judicial system,the dispute caused by license fees of SEP is clarified firstly,then by combining and interpreting twelve existing pricing methods of license fee of SEP with academic literature and judicial cases,four categories of methods are composed based on the application stages and calculation logic.Thirdly,the application barriers and dilemmas caused by the inherent limita⁃tions of the four categories of methods are analyzed,and the possible ways to put these methods into practice are ex⁃plored.Lastly,suggestions are presented from the aspects of preconditions for application,pricing stages,dispute reso⁃lution mechanisms,and comprehensive applications.The purpose of this paper is to provide enlightenment for getting back on track with the pricing right and further optimization of the pricing mechanism of license fees of SEP. 展开更多
关键词 SEP FRAND principle license fee pricing method application dilemma
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Large-scale microscopic traffic simulation based on license plate recognition data and OpenStreetMap 认领 引用
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作者 Wenbin Yao Youwei Hu +4 位作者 Yexing Yin Jia Guo Congcong Bai Zuoming Zhang Sheng Jin 《Journal of Highway and Transportation Research and Development(English Edition)》 2025年第4期37-41,共5页
Microscopic traffic simulation can provide scientific support for traffic design,traffic planning,traffic monitoring,and traffic demand management,and how to construct accurate and efficient microscopic traffic simula... Microscopic traffic simulation can provide scientific support for traffic design,traffic planning,traffic monitoring,and traffic demand management,and how to construct accurate and efficient microscopic traffic simulation is an important research direction.Current research on microscopic traffic simulation mainly focuses on the basic theory,such as the car following model and lane changing model.However,there is a lack of research on the practice and application of microscopic traffic simulation,especially for large-scale microscopic traffic simulation.In this study,we proposed a simple and efficient method for large-scale microscopic traffic simulation,and built a city-level microscopic traffic simulation system of Xiaoshan District,Hangzhou,China as an example.OpenStreetMap(OSM)data and license plate recognition(LPR)data were firstly fused,and then the road network,traffic infrastructure and travel information of vehicles were obtained based on the fused data.Next,the travel demand was obtained using the dynamic traffic assignment method and route choice algorithm.On this basis,the Simulation of Urban MObility(SUMO)platform was used for city-level microscopic traffic simulation.Finally,a calibration method was proposed to calibrate the microscopic traffic simulation system.The results show that the proposed method can simulate the traffic operation dynamics well. 展开更多
关键词 transportation engineering traffic simulation OSM license plate recognition dynamic traffic assignment route choice calibration
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Clustering analysis of vehicle traveling and parking behavior based on license plate recognition data:Suzhou case 认领 引用
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作者 Kexin Wang Xiang Wang +1 位作者 Xiangxi Liu Yutong Wang 《Journal of Highway and Transportation Research and Development(English Edition)》 2025年第2期17-22,共6页
The regularity of vehicle travel patterns is a crucial characteristic of urban traffic operations.Analyzing these patterns yields valuable insights for traffic management and urban planning.With the advent of big data... The regularity of vehicle travel patterns is a crucial characteristic of urban traffic operations.Analyzing these patterns yields valuable insights for traffic management and urban planning.With the advent of big data technology and intelligent transportation systems,accurately identifying traffic demands and profiling traveler behavior has become practical.In this study,we leveraged license plate recognition data to cluster and analyze the travel characteristics of vehicles in Suzhou city.Initially,the Suzhou license plate recognition data underwent preprocessing to rectify errors and eliminate redundancies,thereby enhancing data accuracy.Subsequently,a threshold segmentation technique was applied to partition the travel sequences.Finally,a suite of indicators,including parking habits,driving behavior,and driver attributes,were extracted.Travelers were then categorized using the K-means++clustering algorithm to discern the characteristics of different vehicle user groups.The findings suggest that:(1)Low-frequency foreign vehicles constitute 82.36%of the total foreign vehicle population and contribute 46.11%to the overall foreign travel intensity.High-frequency foreign vehicles,which make up only 2.72%of the total foreign vehicle count,significantly contribute 24.6%to the foreign vehicle travel intensity,highlighting their importance as users of road resources.(2)Travelers are classified into four categories:Light Commuters,Daily Commuters,Weekend Explorers,and Balanced Travelers.Notably,Light Commuters and Daily Commuters display marked differences in both their travel and parking behaviors.This research offers policy recommendations tailored to different vehicle user groups and provides data-driven insights for addressing urban transportation challenges. 展开更多
关键词 Travel feature Parking feature K-means++clustering algorithm License plate recognition data
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Open-Source Codes of Topology Optimization: A Summary for Beginners to Start Their Research 认领 引用 被引量：12
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作者 Yingjun Wang Xinqing Li +1 位作者 Kai Long Peng Wei 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第10期1-34,共34页
Topology optimization(TO),a numerical technique to find the optimalmaterial layoutwith a given design domain,has attracted interest from researchers in the field of structural optimization in recent years.For beginner... Topology optimization(TO),a numerical technique to find the optimalmaterial layoutwith a given design domain,has attracted interest from researchers in the field of structural optimization in recent years.For beginners,opensource codes are undoubtedly the best alternative to learning TO,which can elaborate the implementation of a method in detail and easily engage more people to employ and extend the method.In this paper,we present a summary of various open-source codes and related literature on TO methods,including solid isotropic material with penalization(SIMP),evolutionary method,level set method(LSM),moving morphable components/voids(MMC/MMV)methods,multiscale topology optimization method,etc.Simultaneously,we classify the codes into five levels,fromeasy to difficult,depending on their difficulty,so that beginners can get started and understand the form of code implementation more quickly. 展开更多
关键词 Topology optimization open-source code optimization methods code classification beginners
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Automatic Vehicle License Plate Recognition Using Optimal Deep Learning Model 认领 引用 被引量：6
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作者 Thavavel Vaiyapuri Sachi Nandan Mohanty +3 位作者 M.Sivaram Irina V.Pustokhina Denis A.Pustokhin K.Shankar 《Computers, Materials & Continua》 SCIE EI 2021年第5期1881-1897,共17页
The latest advancements in highway research domain and increase in the number of vehicles everyday led to wider exposure and attention towards the development of efficient Intelligent Transportation System(ITS).One of... The latest advancements in highway research domain and increase in the number of vehicles everyday led to wider exposure and attention towards the development of efficient Intelligent Transportation System(ITS).One of the popular research areas i.e.,Vehicle License Plate Recognition(VLPR)aims at determining the characters that exist in the license plate of the vehicles.The VLPR process is a difficult one due to the differences in viewpoint,shapes,colors,patterns,and non-uniform illumination at the time of capturing images.The current study develops a robust Deep Learning(DL)-based VLPR model using Squirrel Search Algorithm(SSA)-based Convolutional Neural Network(CNN),called the SSA-CNN model.The presented technique has a total of four major processes namely preprocessing,License Plate(LP)localization and detection,character segmentation,and recognition.Hough Transform(HT)is applied as a feature extractor and SSA-CNN algorithm is applied for character recognition in LP.The SSA-CNN method effectively recognizes the characters that exist in the segmented image by optimal tuning of CNN parameters.The HT-SSA-CNN model was experimentally validated using the Stanford Car,FZU Car,and HumAIn 2019 Challenge datasets.The experimentation outcome verified that the presented method was better under several aspects.The projected HT-SSA-CNN model implied the best performance with optimal overall accuracy of 0.983%. 展开更多
关键词 Deep learning license plate recognition intelligent transportation segmentation
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Vehicle License Plate Character Segmentation 认领 引用 被引量：7
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作者 Mei-Sen Pan Jun-Biao Yan Zheng-Hong Xiao 《International Journal of Automation and computing》 2008年第4期425-432,共8页
Vehicle license plate (VLP) character segmentation is an important part of the vehicle license plate recognition system (VLPRS).This paper proposes a least square method (LSM) to treat horizontal tilt and vertical til... Vehicle license plate (VLP) character segmentation is an important part of the vehicle license plate recognition system (VLPRS).This paper proposes a least square method (LSM) to treat horizontal tilt and vertical tilt in VLP images.Auxiliary lines are added into the image (or the tilt-corrected image) to make the separated parts of each Chinese character to be an interconnected region.The noise regions will be eliminated after two fusing images are merged according to the minimum principle of gray values. Then,the characters are segmented by projection method (PM) and the final character images are obtained.The experimental results show that this method features fast processing and good performance in segmentation. 展开更多
关键词 Vehicle license plate (VLP) least square method (LSM) auxiliary lines character segmentation pixel.
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网格环境中基于浮动License的软件资源共享 认领 引用 被引量：3
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作者 付伟 肖侬 卢锡城 《计算机工程与科学》 2008年第8期120-123,共4页
传统基于License的管理系统可在局域网范围内实现一定的软件共享,但无法适用于开放、异构和动态的网格环境。本文提出一种基于浮动License机制的新型全局软件共享系统LicTraveler,在不改变原有License使用机制的前提下实现License的全... 传统基于License的管理系统可在局域网范围内实现一定的软件共享,但无法适用于开放、异构和动态的网格环境。本文提出一种基于浮动License机制的新型全局软件共享系统LicTraveler,在不改变原有License使用机制的前提下实现License的全局管理和跨域共享。两层体系结构可同时提供自治局部License服务和协同全局License服务;Li-cense的预留与配额策略、布局与调度策略为用户提供了灵活性和健壮性。实验表明,LicTraveler能够有效降低软件的重复投资,可将License的使用效率提升50%以上。 展开更多
关键词 网格 软件资源共享 浮动License LicTraveler
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校园网格环境下软件License调度算法及策略研究 认领 引用 被引量：1
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作者 王云岚 周兴社 +1 位作者 赵天海 谷建华 《计算机工程与科学》 北大核心 2009年第11期84-86,116,共3页
应用软件License是昂贵的计算资源,校园网格是分布、共享的应用环境,在该环境下研究License的管理有着重要的意义。本文提出了支持License管理策略的校园网格管理系统体系结构,提出了基于角色和等待时间的网格作业动态优先级计算方法,... 应用软件License是昂贵的计算资源,校园网格是分布、共享的应用环境,在该环境下研究License的管理有着重要的意义。本文提出了支持License管理策略的校园网格管理系统体系结构,提出了基于角色和等待时间的网格作业动态优先级计算方法,提出了基于资源稀缺性和负载的License预留策略及剥夺策略,并在此基础上提出了基于动态优先级和集群负载的网格资源调度算法PLS。提出的算法和策略在校园网格进行了部署和应用,证明了其可以提高资源利用率,实现不同等级用户服务的差异性,保证同等级用户之间的公平性。 展开更多
关键词 License管理 角色 调度算法 动态优先级
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License Plate Recognition via Attention Mechanism 认领 引用 被引量：2
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作者 Longjuan Wang Chunjie Cao +2 位作者 Binghui Zou Jun Ye Jin Zhang 《Computers, Materials & Continua》 SCIE EI 2023年第4期1801-1814,共14页
License plate recognition technology use widely in intelligent trafficmanagement and control. Researchers have been committed to improving thespeed and accuracy of license plate recognition for nearly 30 years. This p... License plate recognition technology use widely in intelligent trafficmanagement and control. Researchers have been committed to improving thespeed and accuracy of license plate recognition for nearly 30 years. This paperis the first to propose combining the attention mechanism with YOLO-v5and LPRnet to construct a new license plate recognition model (LPR-CBAMNet).Through the attention mechanism CBAM(Convolutional Block AttentionModule), the importance of different feature channels in license platerecognition can be re-calibrated to obtain proper attention to features. Forceinformation to achieve the purpose of improving recognition speed andaccuracy. Experimental results show that the model construction methodis superior in speed and accuracy to traditional license plate recognitionalgorithms. The accuracy of the recognition model of the CBAM model isincreased by two percentage points to 97.2%, and the size of the constructedmodel is only 1.8 M, which can meet the requirements of real-time executionof embedded low-power devices. The codes for training and evaluating LPRCBAM-Net are available under the open-source MIT License at: http://gffzz188fe103f8f1460asn5qpxbk9u05o6nou.ffgz.tsg.suse.edu.cn/To2rk/LPR-CBAM-Net. 展开更多
关键词 License plate detection recognition CBAM YOLO v5
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Vehicle detection based on information fusion of vehicle symmetrical contour and license plate position 认领 引用 被引量：3
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作者 连捷 赵池航 +2 位作者 张百灵 何杰 党倩 《Journal of Southeast University(English Edition)》 EI CAS 2012年第2期240-244,共5页
An efficient vehicle detection approach is proposed for traffic surveillance images, which is based on information fusion of vehicle symmetrical contour and license plate position. The vertical symmetry axis of the ve... An efficient vehicle detection approach is proposed for traffic surveillance images, which is based on information fusion of vehicle symmetrical contour and license plate position. The vertical symmetry axis of the vehicle contour in an image is. first detected, and then the vertical and the horizontal symmetry axes of the license plate are detected using the symmetry axis of the vehicle contour as a reference. The vehicle location in an image is determined using license plate symmetry axes and the vertical and the horizontal projection maps of the vehicle edge image. A dataset consisting of 450 images （15 classes of vehicles） is used to test the proposed method. The experimental results indicate that compared with the vehicle contour-based, the license plate location-based, the vehicle texture-based and the Gabor feature-based methods, the proposed method is the best with a detection accuracy of 90.7% and an elapsed time of 125 ms. 展开更多
关键词 vehicle detection symmetrical contour license plate position information fusion
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HSPM:A Better Model to Effectively Preventing Open-Source Projects from Dying 认领 引用 被引量：1
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作者 Zhifang Liao Fangying Fu +3 位作者 Yiqi Zhao Sui Tan Zhiwu Yu Yan Zhang 《Computer Systems Science & Engineering》 SCIE EI 2023年第10期431-452,共22页
With the rapid development of Open-Source(OS),more and more software projects are maintained and developed in the form of OS.These Open-Source projects depend on and influence each other,gradually forming a huge OS pr... With the rapid development of Open-Source(OS),more and more software projects are maintained and developed in the form of OS.These Open-Source projects depend on and influence each other,gradually forming a huge OS project network,namely an Open-Source Software ECOsystem(OSSECO).Unfortunately,not all OS projects in the open-source ecosystem can be healthy and stable in the long term,and more projects will go from active to inactive and gradually die.In a tightly connected ecosystem,the death of one project can potentially cause the collapse of the entire ecosystem network.How can we effectively prevent such situations from happening?In this paper,we first identify the basic project characteristics that affect the survival of OS projects at both project and ecosystem levels through the proportional hazards model.Then,we utilize graph convolutional networks based on the ecosystem network to extract the ecosystem environment characteristics of OS projects.Finally,we fuse basic project characteristics and environmental project characteristics and construct a Hybrid Structured Prediction Model(HSPM)to predict the OS project survival state.The experimental results show that HSPM significantly improved compared to the traditional prediction model.Our work can substantially assist OS project managers in maintaining their projects’health.It can also provide an essential reference for developers when choosing the right open-source project for their production activities. 展开更多
关键词 Project survival prediction open-source ecosystem open-source project open-source health graph neural networks
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Multi-Object Detection of Chinese License Plate in Complex Scenes 认领 引用 被引量：1
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作者 Dan Liu Yajuan Wu +2 位作者 Yuxin He Lu Qin Bochuan Zheng 《Computer Systems Science & Engineering》 SCIE EI 2021年第1期145-156,共12页
Multi-license plate detection in complex scenes is still a challenging task because of multiple vehicle license plates with different sizes and classes in the images having complex background.The edge features of high... Multi-license plate detection in complex scenes is still a challenging task because of multiple vehicle license plates with different sizes and classes in the images having complex background.The edge features of high-density distribution and the high curvature features of stroke turning of Chinese character are important signs to distinguish Chinese license plate from other objects.To accurately detect multiple vehicle license plates with different sizes and classes in complex scenes,a multi-object detection of Chinese license plate method based on improved YOLOv3 network was proposed in this research.The improvements include replacing the residual block of the YOLOv3 backbone network with the Inception-ResNet-A block,imbedding the SPP block into the detection network,cutting the redundant Inception-ResNet-A block to suit for the multi-license plate detection task,and clustering the ground truth boxes of license plates to obtain a new set of anchor boxes.A Chinese vehicle license plate image dataset was built for training and testing the improved network,and the location and class of the license plates in each image were accurately labeled.The dataset has 62,153 pieces of images and 4 classes of China vehicle license plates,almost images have multiple license plates with different sizes.Experiments demonstrated that the multilicense plate detection method obtained 83.4%mAP,98.88%precision,98.17%recall,98.52 F1 score,89.196 BFLOPS and 22 FPS on the test dataset,and whole performance was better than the other five compared networks including YOLOv3,SSD,Faster-RCNN,EfficientDet and RetinaNet. 展开更多
关键词 Chinese vehicle license plate multiple license plate multi-object detection Inception-ResNet-A spatial pyramid pooling
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企业级软件License控制系统的研究 认领 引用 被引量：2
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作者 周杭霞 汪志勤 夏荣钊 《计算机应用与软件》 北大核心 2007年第5期166-167,183,共2页
在传统的License加密方法基础上把新兴的多步加密算法和传统的非对称RSA加密算法进行结合,构建了一个企业级的软件License控制系统。开发了一个企业级License控制系统来检验此加密算法,并阐述了实现过程。
关键词 License 控制 加密 密钥 签名
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YOLO and Blockchain Technology Applied to Intelligent Transportation License Plate Character Recognition for Security 认领 引用 被引量：2
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作者 Fares Alharbi Reem Alshahrani +2 位作者 Mohammed Zakariah Amjad Aldweesh Abdulrahman Abdullah Alghamdi 《Computers, Materials & Continua》 SCIE EI 2023年第12期3697-3722,共26页
Privacy and trust are significant issues in intelligent transportation systems(ITS).Data security is critical in ITS systems since sensitive user data is communicated to another user over the internet through wireless... Privacy and trust are significant issues in intelligent transportation systems(ITS).Data security is critical in ITS systems since sensitive user data is communicated to another user over the internet through wireless devices and routes such as radio channels,optical fiber,and blockchain technology.The Internet of Things(IoT)is a network of connected,interconnected gadgets.Privacy issues occasionally arise due to the amount of data generated.However,they have been primarily addressed by blockchain and smart contract technology.While there are still security issues with smart contracts,primarily due to the complexity of writing the code,there are still many challenges to consider when designing blockchain designs for the IoT environment.This study uses traditional blockchain technology with the“You Only Look Once”(YOLO)object detection method to accurately locate and identify license plates.While YOLO and blockchain technologies used for intelligent vehicle license plate recognition are promising,they have received limited research attention.Real-time object identification and recognition would be possible by combining a cutting-edge object detection technique with a regional convolutional neural network(RCNN)built with the tensor flow core open source libraries.This method works reasonably well for identifying any license plate.The Automatic License Plate Recognition(ALPR)approach delivered outstanding results in various datasets.First,with a recognition rate of 96.2%,our system(UFPR-ALPR)surpassed the previously used technology,consisting of 4500 frames and around 150 films.Second,a deep learning algorithm was trained to recognize images of license plate numbers using the UFPR-ALPR dataset.Third,the license plate’s characters were complicated for standard methods to identify because of the shifting lighting correctly.The proposed model,however,produced beneficial outcomes. 展开更多
关键词 Intelligent transportation system blockchain technology license plate recognition privacy YOLO deep learning technique ALPR
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Analysis and Simulations of Open-Source Intelligence Process System Dynamics from User’s Perspective 认领 引用 被引量：1
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作者 Huan Liu Zhenyu Tang +1 位作者 Ning Zhao Wei Qian 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第1期541-558,共18页
In today’s society with advanced Internet,the amount of information increases dramatically with each passing day,which leads to increasingly complex processes of open-source intelligence.Therefore,it is more importan... In today’s society with advanced Internet,the amount of information increases dramatically with each passing day,which leads to increasingly complex processes of open-source intelligence.Therefore,it is more important to rationalize the operation mode and improve the operation efficiency of open-source intelligence under the premise of satisfying users’needs.This paper focuses on the simulation study of the process system of opensource intelligence from the user’s perspective.First,the basic concept and development status of open-source intelligence are introduced in details.Second,six existing intelligence operation process models are summarized and their advantages and disadvantages are compared in focus.Based on users’preference,the open-source intelligence system simulation theory model is constructed from four aspects:intelligence collection,intelligence processing,intelligence analysis,and intelligence delivery.Meanwhile,the dynamics model of the open-source intelligence process system is constructed based on the open-source intelligence system simulation theoretical model,which specifically includes five parts:determination of system boundary,construction of causal loop diagram,construction of stock flow diagram,writing ofmathematical equations,and system sensitivity test.Finally,the system simulation results were analyzed.It was found that improving the system of intelligence agencies,opening up government affairs,improving the professional level of intelligence personnel,strengthening the communication and cooperation among personnel of various intelligence departments,and expressing intelligence products through diverse forms can effectively improve the operational efficiency of the open-source intelligence process system. 展开更多
关键词 Open-source intelligence system dynamics feedback user demand deviation
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Adversarial Attacks on License Plate Recognition Systems 认领 引用 被引量：1
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作者 Zhaoquan Gu Yu Su +5 位作者 Chenwei Liu Yinyu Lyu Yunxiang Jian Hao Li Zhen Cao Le Wang 《Computers, Materials & Continua》 SCIE EI 2020年第11期1437-1452,共16页
The license plate recognition system(LPRS)has been widely adopted in daily life due to its efficiency and high accuracy.Deep neural networks are commonly used in the LPRS to improve the recognition accuracy.However,re... The license plate recognition system(LPRS)has been widely adopted in daily life due to its efficiency and high accuracy.Deep neural networks are commonly used in the LPRS to improve the recognition accuracy.However,researchers have found that deep neural networks have their own security problems that may lead to unexpected results.Specifically,they can be easily attacked by the adversarial examples that are generated by adding small perturbations to the original images,resulting in incorrect license plate recognition.There are some classic methods to generate adversarial examples,but they cannot be adopted on LPRS directly.In this paper,we modify some classic methods to generate adversarial examples that could mislead the LPRS.We conduct extensive evaluations on the HyperLPR system and the results show that the system could be easily attacked by such adversarial examples.In addition,we show that the generated images could also attack the black-box systems;we show some examples that the Baidu LPR system also makes incorrect recognitions.We hope this paper could help improve the LPRS by realizing the existence of such adversarial attacks. 展开更多
关键词 License plate recognition system adversarial examples deep neural networks
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Breath monitoring,sleep disorder detection,and tracking using thin-film acoustic waves and open-source electronics 认领 引用 被引量：1
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作者 Jethro Vernon Pep Canyelles-Pericas +4 位作者 Hamdi Torun Richard Binns Wai Pang Ng Qiang Wu Yong-Qing Fu 《Nanotechnology and Precision Engineering》 EI CAS CSCD 2022年第3期9-17,共9页
Apnoea,a major sleep disorder,affects many adults and causes several issues,such as fatigue,high blood pressure,liver conditions,increased risk of type II diabetes,and heart problems.Therefore,advanced monitoring and ... Apnoea,a major sleep disorder,affects many adults and causes several issues,such as fatigue,high blood pressure,liver conditions,increased risk of type II diabetes,and heart problems.Therefore,advanced monitoring and diagnosing tools of apnoea disorders are needed to facilitate better treatment,with advantages such as accuracy,comfort of use,cost effectiveness,and embedded computation capabilities to recognise,store,process,and transmit time series data.In this work we present an adaptation of our apnoea-Pi open-source surface acoustic wave(SAW)platform(Apnoea-Pi)to monitor and recognise apnoea in patients.The platform is based on a thin-film SAW device using bimorph ZnO and Al structures,including those fabricated as Al foils or plates,to achieve breath tracking based on humidity and temperature changes.We applied open-source electronics and provided embedded computing characteristics for signal processing,data recognition,storage,and transmission of breath signals.We show that the thin-film SAW device out-performed standard and off-the-shelf capacitive electronic sensors in terms of their response and accuracy for human breath-tracking purposes.This in combination with embedded electronics makes a suitable platform for human breath monitoring and sleep disorder recognition. 展开更多
关键词 Surface acoustic waves Sleep disorder Apnoea Open-source electronics Pattern recognition Piezoelectric thin film
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基于实时授权的License控制技术在制造执行系统中的应用 认领 引用 被引量：2
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作者 胡国良 史海波 《制造业自动化》 北大核心 2013年第8期45-48,共4页
针对加工制造行业MES(Manufacturing Execution System,制造执行系统)的软件版权控制、并发用户数控制、软件版本(试用版、正式版、软件租赁)控制等问题,本文研究了一种基于实时授权的企业级软件License控制方法,并将该方法应用在采用... 针对加工制造行业MES(Manufacturing Execution System,制造执行系统)的软件版权控制、并发用户数控制、软件版本(试用版、正式版、软件租赁)控制等问题,本文研究了一种基于实时授权的企业级软件License控制方法,并将该方法应用在采用面向服务架构(SOA—service oriented architecture)的MES中。本文将就其中的关键模块--License控制模块进行详细阐述,并对系统的实现和应用效果进行介绍。 展开更多
关键词 软件控制 License 实时授权 制造执行系统
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关于PACS/RIS系统中License权限管理的探讨 认领 引用 被引量：1
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作者 郭辉 王锋 +3 位作者 沈君姝 李昂 潘永泉 曹新志 《中国医疗设备》 2014年第8期43-45,65,共3页
目的解决License权限并行数量不足,导致医生在报告工作站无法从PACS服务器调阅影像信息的问题。方法在不扩增License权限数量的前提下,将负责图像调阅的Llicense权限服务从现有的PACS服务器转移到一台单独的服务器上,通过相应的参数配... 目的解决License权限并行数量不足,导致医生在报告工作站无法从PACS服务器调阅影像信息的问题。方法在不扩增License权限数量的前提下,将负责图像调阅的Llicense权限服务从现有的PACS服务器转移到一台单独的服务器上,通过相应的参数配置和软件调试,再将此服务器与现有的医生报告工作站连接。结果解决了License权限并行数量不足的瓶颈问题。结论 License权限并行问题的解决使PACS/RIS的运行更加稳定,极大地提高了医生的工作效率。 展开更多
关键词 医院信息系统 License权限 PACS RIS 报告工作站
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