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Bat algorithm based on kinetic adaptation and elite communication for engineering problems 认领 引用 被引量：1
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作者 Chong Yuan Dong Zhao +4 位作者 Ali Asghar Heidari Lei Liu Shuihua Wang Huiling Chen Yudong Zhang 《CAAI Transactions on Intelligence Technology》 SCIE EI CSCD 2025年第4期1174-1200,共27页
The Bat algorithm,a metaheuristic optimization technique inspired by the foraging behaviour of bats,has been employed to tackle optimization problems.Known for its ease of implementation,parameter tunability,and stron... The Bat algorithm,a metaheuristic optimization technique inspired by the foraging behaviour of bats,has been employed to tackle optimization problems.Known for its ease of implementation,parameter tunability,and strong global search capabilities,this algorithm finds application across diverse optimization problem domains.However,in the face of increasingly complex optimization challenges,the Bat algorithm encounters certain limitations,such as slow convergence and sensitivity to initial solutions.In order to tackle these challenges,the present study incorporates a range of optimization compo-nents into the Bat algorithm,thereby proposing a variant called PKEBA.A projection screening strategy is implemented to mitigate its sensitivity to initial solutions,thereby enhancing the quality of the initial solution set.A kinetic adaptation strategy reforms exploration patterns,while an elite communication strategy enhances group interaction,to avoid algorithm from local optima.Subsequently,the effectiveness of the proposed PKEBA is rigorously evaluated.Testing encompasses 30 benchmark functions from IEEE CEC2014,featuring ablation experiments and comparative assessments against classical algorithms and their variants.Moreover,real-world engineering problems are employed as further validation.The results conclusively demonstrate that PKEBA ex-hibits superior convergence and precision compared to existing algorithms. 展开更多
关键词 Bat algorithm engineering optimization global optimization metaheuristic algorithms
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Cryptanalysis and Improvement of Quantum Private Comparison Protocol Based on Bell Entangled States 认领 引用 被引量：8
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作者 刘文杰 刘超 +2 位作者 陈汉武 李志强 刘志昊 《Communications in Theoretical Physics》 SCIE CAS CSCD 2014年第8期210-214,共5页
Recently, Liu et al. [Commun. Theor. Phys. 57(2012) 583] proposed a quantum private comparison protocol based on entanglement swapping of Bell states, which aims to securely compare the equality of two participants... Recently, Liu et al. [Commun. Theor. Phys. 57(2012) 583] proposed a quantum private comparison protocol based on entanglement swapping of Bell states, which aims to securely compare the equality of two participants' information with the help of a semi-honest third party(TP). However, the present study points out there is a fatal loophole in Liu et al.'s protocol, and TP can make Bell-basis measurement to know all the participants' secret inputs without being detected. To fix the problem, a simple solution, which uses one-time eavesdropper checking with decoy photons instead of twice eavesdropper checking with Bell states, is demonstrated. Compared with the original protocol,it not only reduces the Bell states consumption but also simplifies the protocol steps. 展开更多
关键词 quantum private comparison Bell states entanglement swapping TP’s measurement attack improvement
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Design and Implementation of Not So Cooperative Caching System 认领 引用 被引量：1
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作者 HU Xiaoyan GONG Jian +2 位作者 CHENG Guang ZHANG Weiwei Ahmad Jakalan 《China Communications》 SCIE CSCD 2015年第7期31-46,共16页
Not So Cooperative Caching(NSCC) considers a network comprised of selfish nodes; each is with caching capability and an objective of reducing its own access cost by fetching data from its local cache or from neighbori... Not So Cooperative Caching(NSCC) considers a network comprised of selfish nodes; each is with caching capability and an objective of reducing its own access cost by fetching data from its local cache or from neighboring caches. These nodes would cooperate in caching and share cached content if and only if they each benefit. The challenges are to determine what objects to cache at each node and to implement the system in the context of Information Centric Networking(ICN). This work includes both a solution for the NSCC problem and a design and implementation of an NSCC system in Named Data Networking(NDN), a large effort that exemplifies ICN. Our design applies NDN synchronization protocol to facilitate the information exchange among nodes, adopts group key encryption to control data access within the NSCC group, and offers an error checker to detect error events in the system. Our approach is validated by deploying the system we developed on Planet Lab. 展开更多
关键词 named data networking content caching selfish caches synchronization group rekeying error checker game theory
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Analysis and Improvement of an Efficient Controlled Quantum Secure Direct Communication and Authentication Protocol 认领 引用 被引量：3
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作者 Jifeng Zhong Zhihao Liu Juan Xu 《Computers, Materials & Continua》 SCIE EI 2018年第12期621-633,共13页
The controlled quantum secure direct communication(CQSDC)with authentication protocol based on four particle cluster states via quantum one-time pad and local unitary operations is cryptanalyzed.It is found that there... The controlled quantum secure direct communication(CQSDC)with authentication protocol based on four particle cluster states via quantum one-time pad and local unitary operations is cryptanalyzed.It is found that there are some serious security issues in this protocol.An eavesdropper(Eve)can eavesdrop on some information of the identity strings of the receiver and the controller without being detected by the selective-CNOT-operation(SCNO)attack.By the same attack,Eve can also steal some information of the secret message that the sender transmits.In addition,the receiver can take the same kind of attack to eavesdrop on some information of the secret message out of the control of the controller.This means that the requirements of CQSDC are not satisfied.At last,we improve the original CQSDC protocol to a secure one. 展开更多
关键词 Quantum cryptography controlled quantum secure direct communication selective-CNOT-operation attack
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Cryptanalysis and improvement of quantum broadcast communication and authentication protocol with a quantum one-time pad 认领 引用 被引量：2
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作者 刘志昊 陈汉武 《Chinese Physics B》 SCIE EI CAS CSCD 2016年第8期59-64,共6页
The security of quantum broadcast communication（QBC） and authentication protocol based on Greenberger–Horne–Zeilinger（GHZ） state and quantum one-time pad is analyzed. It is shown that there are some security iss... The security of quantum broadcast communication（QBC） and authentication protocol based on Greenberger–Horne–Zeilinger（GHZ） state and quantum one-time pad is analyzed. It is shown that there are some security issues in this protocol.Firstly, an external eavesdropper can take the intercept–measure–resend attack strategy to eavesdrop on 0.369 bit of every bit of the identity string of each receiver without being detected. Meanwhile, 0.524 bit of every bit of the secret message can be eavesdropped on without being detected. Secondly, an inner receiver can take the intercept–measure–resend attack strategy to eavesdrop on half of the identity string of the other＇s definitely without being checked. In addition, an alternative attack called the CNOT-operation attack is discussed. As for the multi-party QBC protocol, the attack efficiency increases with the increase of the number of users. Finally, the QBC protocol is improved to a secure one. 展开更多
关键词 cryptanalysis quantum broadcast communication information leakage intercept-measure-resendattack CNOT-operation attack
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Parameter Identification of Photovoltaic Models Using an Enhanced INFO Algorithm 认领 引用 被引量：1
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作者 Ying Chen Peng Min +5 位作者 Huiling Chen Cheng Tao Zeye Long Ali Asghar Heidari Shuihua Wang Yudong Zhang 《CAAI Transactions on Intelligence Technology》 SCIE EI CSCD 2025年第6期1844-1866,共23页
Photovoltaic(PV)systems are electrical systems designed to convert solar energy into electrical energy.As a crucial component of PV systems,harsh weather conditions,photovoltaic panel temperature and solar irradiance ... Photovoltaic(PV)systems are electrical systems designed to convert solar energy into electrical energy.As a crucial component of PV systems,harsh weather conditions,photovoltaic panel temperature and solar irradiance influence the power output of photovoltaic cells.Therefore,accurately identifying the parameters of PV models is essential for simulating,controlling and evaluating PV systems.In this study,we propose an enhanced weighted-mean-of-vectors optimisation(EINFO)for efficiently determining the unknown parameters in PV systems.EINFO introduces a Lambert W-based explicit objective function for the PV model,enhancing the computational accuracy of the algorithm's population fitness.This addresses the challenge of improving the metaheuristic algorithms'identification accuracy for unknown parameter identification in PV models.We experimentally apply EINFO to three types of PV models(single-diode,double-diode and PV-module models)to validate its accuracy and stability in parameter identification.The results demonstrate that EINFO achieves root mean square errors(RMSEs)of 7.7301E-04,6.8553E-04 and 2.0608E-03 for the single-diode model,double-diode model and PV-module model,respectively,surpassing those obtained by using INFO algorithm as well as other methods in terms of convergence speed,accuracy and stability.Furthermore,comprehensive experimental findings on three commercial PV modules(ST40,SM55 and KC200GT)indicate that EINFO consistently maintains high accuracy across varying temperatures and irradiation levels.In conclusion,EINFO emerges as a highly competitive and practical approach for parameter identification in diverse types of PV models. 展开更多
关键词 Lambert W function multi-objective optimisation optimisation parameteridentification photovoltaic model weighted-mean-ofvectorsalgorithm
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Optimal performance design of bat algorithm:An adaptive multi-stage structure 认领 引用 被引量：1
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作者 Helong Yu Jiuman Song +4 位作者 Chengcheng Chen Ali Asghar Heidari Yuntao Ma Huiling Chen Yudong Zhang 《CAAI Transactions on Intelligence Technology》 SCIE EI CSCD 2025年第3期755-814,共60页
The bat algorithm(BA)is a metaheuristic algorithm for global optimisation that simulates the echolocation behaviour of bats with varying pulse rates of emission and loudness,which can be used to find the globally opti... The bat algorithm(BA)is a metaheuristic algorithm for global optimisation that simulates the echolocation behaviour of bats with varying pulse rates of emission and loudness,which can be used to find the globally optimal solutions for various optimisation problems.Knowing the recent criticises of the originality of equations,the principle of BA is concise and easy to implement,and its mathematical structure can be seen as a hybrid particle swarm with simulated annealing.In this research,the authors focus on the performance optimisation of BA as a solver rather than discussing its originality issues.In terms of operation effect,BA has an acceptable convergence speed.However,due to the low proportion of time used to explore the search space,it is easy to converge prematurely and fall into the local optima.The authors propose an adaptive multi-stage bat algorithm(AMSBA).By tuning the algorithm's focus at three different stages of the search process,AMSBA can achieve a better balance between exploration and exploitation and improve its exploration ability by enhancing its performance in escaping local optima as well as maintaining a certain convergence speed.Therefore,AMSBA can achieve solutions with better quality.A convergence analysis was conducted to demonstrate the global convergence of AMSBA.The authors also perform simulation experiments on 30 benchmark functions from IEEE CEC 2017 as the objective functions and compare AMSBA with some original and improved swarm-based algorithms.The results verify the effectiveness and superiority of AMSBA.AMSBA is also compared with eight representative optimisation algorithms on 10 benchmark functions derived from IEEE CEC 2020,while this experiment is carried out on five different dimensions of the objective functions respectively.A balance and diversity analysis was performed on AMSBA to demonstrate its improvement over the original BA in terms of balance.AMSBA was also applied to the multi-threshold image segmentation of Citrus Macular disease,which is a bacterial infection that causes lesions on citrus trees.The segmentation results were analysed by comparing each comparative algorithm's peak signal-to-noise ratio,structural similarity index and feature similarity index.The results show that the proposed BA-based algorithm has apparent advantages,and it can effectively segment the disease spots from citrus leaves when the segmentation threshold is at a low level.Based on a comprehensive study,the authors think the proposed optimiser has mitigated the main drawbacks of the BA,and it can be utilised as an effective optimisation tool. 展开更多
关键词 bat-inspired algorithm Citrus Macular disease global optimization multi-threshold image segmentation Otsu algorithm
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Investigation of the Mathematical Relationship between the Aortic Valve and Aortic Root: Implications for Precise Guidance in Aortic Valve Repair 认领 引用
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作者 Luyao Ma Kangting Tang +4 位作者 Guanyu Yang Hong Liu Chengxiao Xu Yinsu Zhu Yongfeng Shao 《Cardiovascular Innovations and Applications》 2023年第1期351-360,共10页
Background:The study was aimed at investigating the mathematical relationship between the aortic valve and aortic root through CTA imaging-based reconstruction.Methods:We selected 121 healthy participants and analyzed... Background:The study was aimed at investigating the mathematical relationship between the aortic valve and aortic root through CTA imaging-based reconstruction.Methods:We selected 121 healthy participants and analyzed the measurements of aortic root dimensions,including the sinotubular junction(SJT),ventriculo-arterial junction(VAJ),maximum sinus diameter(SD),sinus height(SH),effective height(eH)and coaptation height(cH).We also reconstructed 3-D aortic valve cusps using CTA imaging to calculate the aortic cusp surface areas.Data were collected to analyze the ratios and the correlation between aortic valve and aortic root dimensions.Results:Among healthy participants,the STJ was approximately 10%larger than the VAJ,and the SD was 1.375 times larger than the VAJ.The average eH and cH were 8.94 mm and 3.62 mm,respectively.The aortic cusp surface areas were larger in men than women.Regardless of sex,the non-coronary cusp was found to be largest,and was fol-lowed by the right coronary cusp and the left coronary cusp.Although the aortic root dimensions were also significantly larger in in men than women,the STJ to VAJ,SD to VAJ,and SH to VAJ ratios did not significantly differ by sex.The mathematical relationship between the aortic cusp surface areas and VAJ orifice area was calculated as aortic cusp surface areas (mm2) =1.512×{VAJ(mm)/2}2×π+166.866. Conclusions:The aortic root has specific geometric ratios.The mathematical relationship between the aortic valve and aortic root might be used to guide aortic valve repair. 展开更多
关键词 aortic cusp surface area aortic root aortic valve aortic valve repair
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Shard-DAG:A scalable and secure block-DAG sharding scheme for AI-driven 6G networks 认领 引用
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作者 Yongkai Fan Wenyuan Zhang +4 位作者 Guodong Wu Le Zhang Chengnian Long Gang Tan Neal N.Xiong 《Digital Communications and Networks》 SCIE EI CSCD 2025年第6期1738-1750,共13页
The ultra-high speed,ultra-low latency,and massive connectivity of the 6 th Generation Mobile Network(6G)present unprecedented challenges to network security.In addition,the deep integration of Artificial Intelligence... The ultra-high speed,ultra-low latency,and massive connectivity of the 6 th Generation Mobile Network(6G)present unprecedented challenges to network security.In addition,the deep integration of Artificial Intelligence(AI)into 6G networks introduces AI-native features that further complicate the design and implementation of secure network architectures.To meet the security demands posed by the massive number of devices and edge nodes in 6G networks,a decentralized security architecture is essential,as it effectively mitigates the performance bottlenecks typically associated with centralized systems.Blockchain technology offers a promising trust mechanism among devices in 6G networks.However,conventional blockchain systems suffer from limited scalability under high-load conditions,making them inadequate for supporting a large volume of nodes and frequent data exchanges.To overcome these limitations,We propose Shard-DAG,a scalable architecture that structurally integrates Directed Acyclic Graphs(DAG)and sharding.Each shard adopts a Block-DAG structure for parallel block processing,effectively overcoming the performance bottlenecks of traditional chain-based blockchains.Furthermore,we introduce a DAG-based transaction ordering mechanism within each shard to defend against double-spending attacks.To ensure inter-shard security,Block-DAG adopts a black-box interaction approach to prevent cross-shard double-spending.Theoretical analysis and experimental evaluations demonstrate that Shard-DAG achieves near-linear scalability.In a network of 1,200 nodes with 8 shards,Shard-DAG achieves peak throughput improvements of 14.64 times over traditional blockchains,8.61 times over standalone BlockDAG,and 2.05 times over conventional sharded blockchains.The results validate Shard-DAG's ability to scale efficiently while maintaining robust security properties. 展开更多
关键词 Blockchain Directed acyclic graph Distributed system Scalability Sharding
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A Survey of Web Information System and Applications 认领 引用
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作者 HAN Yanbo LI Juanzi +3 位作者 YANG Nan LIU Qing XU Baowen MENG Xiaofeng 《Wuhan University Journal of Natural Sciences》 CAS 2007年第5期769-772,共4页
The fourth international conference on Web information systems and applications （WISA 2007） has received 409 submissions and has accepted 37 papers for publication in this issue. The papers cover broad research area... The fourth international conference on Web information systems and applications （WISA 2007） has received 409 submissions and has accepted 37 papers for publication in this issue. The papers cover broad research areas, including Web mining and data warehouse, Deep Web and Web integration, P2P networks, text processing and information retrieval, as well as Web Services and Web infrastructure. After briefly introducing the WISA conference, the survey outlines the current activities and future trends concerning Web information systems and applications based on the papers accepted for publication. 展开更多
关键词 Web mining data warehouse Deep Web Web integration Web services P2P computing text processing information retrieval Web security
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Jointly Part-of-Speech Tagging and Semantic Role Labeling Using Auxiliary Deep Neural Network Model 认领 引用
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作者 Yatian Shen Yubo Mai +2 位作者 Xiajiong Shen Wenke Ding Mengjiao Guo 《Computers, Materials & Continua》 SCIE EI 2020年第10期529-541,共13页
Previous studies have shown that there is potential semantic dependency between part-of-speech and semantic roles.At the same time,the predicate-argument structure in a sentence is important information for semantic r... Previous studies have shown that there is potential semantic dependency between part-of-speech and semantic roles.At the same time,the predicate-argument structure in a sentence is important information for semantic role labeling task.In this work,we introduce the auxiliary deep neural network model,which models semantic dependency between part-of-speech and semantic roles and incorporates the information of predicate-argument into semantic role labeling.Based on the framework of joint learning,part-of-speech tagging is used as an auxiliary task to improve the result of the semantic role labeling.In addition,we introduce the argument recognition layer in the training process of the main task-semantic role labeling,so the argument-related structural information selected by the predicate through the attention mechanism is used to assist the main task.Because the model makes full use of the semantic dependency between part-of-speech and semantic roles and the structural information of predicate-argument,our model achieved the F1 value of 89.0%on the WSJ test set of CoNLL2005,which is superior to existing state-of-the-art model about 0.8%. 展开更多
关键词 Part-of-speech tagging semantic role labeling multi-task learning
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Comment on "Cryptanalysis and Improvement of a Quantum Network System of QSS-QDC Using χ-Type Entangled States" [Chin. Phys. Lett. 29 (2012) 110305] 认领 引用 被引量：1
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作者 LIU Zhi-Hao CHEN Han-Wu 《Chinese Physics Letters》 SCIE EI CAS CSCD 2013年第7期260-260,共1页
We point out that the quantum secret sharing(QSS)protocol proposed by Gao et al.[Chin.Phys.Lett.29(2012)110305]has some defects.Thus,some strategies are given to mend them.
关键词 quantum Quantum
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Real-Time Deepfake Detection via Gaze and Blink Patterns:A Transformer Framework 认领 引用
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作者 Muhammad Javed Zhaohui Zhang +3 位作者 Fida Hussain Dahri Asif Ali Laghari Martin Krajčík Ahmad Almadhor 《Computers, Materials & Continua》 SCIE EI 2025年第10期1457-1493,共37页
Recent advances in artificial intelligence and the availability of large-scale benchmarks have made deepfake video generation and manipulation easier.Therefore,developing reliable and robust deepfake video detection m... Recent advances in artificial intelligence and the availability of large-scale benchmarks have made deepfake video generation and manipulation easier.Therefore,developing reliable and robust deepfake video detection mechanisms is paramount.This research introduces a novel real-time deepfake video detection framework by analyzing gaze and blink patterns,addressing the spatial-temporal challenges unique to gaze and blink anomalies using the TimeSformer and hybrid Transformer-CNN models.The TimeSformer architecture leverages spatial-temporal attention mechanisms to capture fine-grained blinking intervals and gaze direction anomalies.Compared to state-of-the-art traditional convolutional models like MesoNet and EfficientNet,which primarily focus on global facial features,our approach emphasizes localized eye-region analysis,significantly enhancing detection accuracy.We evaluate our framework on four standard datasets:FaceForensics,CelebDF-V2,DFDC,and FakeAVCeleb.The proposed framework results reveal higher accuracy,with the TimeSformer model achieving accuracies of 97.5%,96.3%,95.8%,and 97.1%,and with the hybrid Transformer-CNN model demonstrating accuracies of 92.8%,91.5%,90.9%,and 93.2%,on FaceForensics,CelebDF-V2,DFDC,and FakeAVCeleb datasets,respectively,showing robustness in distinguishing manipulated from authentic videos.Our research provides a robust state-of-the-art framework for real-time deepfake video detection.This novel study significantly contributes to video forensics,presenting scalable and accurate real-world application solutions. 展开更多
关键词 Deepfake detection deep learning video forensics gaze and blink patterns transformers TimeSformer MesoNet4
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Prompt-Guided Dialogue State Tracking with GPT-2 and Graph Attention 认领 引用
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作者 Muhammad Asif Khan Dildar Hussain +5 位作者 Bhuyan Kaibalya Prasad Irfan Ullah Inayat Khan Jawad Khan Yeong Hyeon Gu Pavlos Kefalas 《Computers, Materials & Continua》 SCIE EI 2025年第12期5451-5468,共18页
Dialogue State Tracking(DST)is a critical component of task-oriented spoken dialogue systems(SDS),tasked with maintaining an accurate representation of the conversational state by predicting slots and their correspond... Dialogue State Tracking(DST)is a critical component of task-oriented spoken dialogue systems(SDS),tasked with maintaining an accurate representation of the conversational state by predicting slots and their corresponding values.Recent advances leverage Large Language Models(LLMs)with prompt-based tuning to improve tracking accuracy and efficiency.However,these approaches often incur substantial computational and memory overheads and typically address slot extraction implicitly within prompts,without explicitly modeling the complex dependencies between slots and values.In this work,we propose PUGG,a novel DST framework that constructs schema-driven prompts to fine-tune GPT-2 and utilizes its tokenizer to implement a memory encoder.PUGG explicitly extracts slot values via GPT-2 and employs Graph Attention Networks(GATs)to model and reason over the intricate relationships between slots and their associated values.We evaluate PUGG on four publicly available datasets,where it achieves stateof-the-art performance across multiple evaluation metrics,highlighting its robustness and generalizability in diverse conversational scenarios.Our results indicate that the integration of GPT-2 substantially reduces model complexity and memory consumption by streamlining key processes.Moreover,prompt tuning enhances the model’s flexibility and precision in extracting relevant slot-value pairs,while the incorporation of GATs facilitates effective relational reasoning,leading to improved dialogue state representations. 展开更多
关键词 Spoken dialogue systems dialogue state tracking prompt tuning GPT-2 graph attention networks
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The dawn of photon-counting CT and its clinical revolution in China 认领 引用
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作者 Wenjie Yang Wenhui Qin +6 位作者 Xu Ji Guotao Quan Yang Chen Mengsu Zeng Fuhua Yan Yanfeng Du Xiaochun Lai 《The Innovation》 EI 2026年第2期8-9,共2页
CHINA’S DOMESTIC PHOTON-COUNTING CT ERA BEGINS In a clear signal of a major shift in the global medical device landscape,China’s National Medical Products Administration(NMPA)granted market approval to a domesticall... CHINA’S DOMESTIC PHOTON-COUNTING CT ERA BEGINS In a clear signal of a major shift in the global medical device landscape,China’s National Medical Products Administration(NMPA)granted market approval to a domestically engineered photon-counting computed tomog-raphy(PCCT)system in August 2025.The approval for United Imaging Healthcare’s uCT Ultima,a flagship project backed by national funding,marks a pivotal moment for the nation’s high-end diagnostic equipment sector.1 This milestone ends the market exclusivity previously held by the Siemens Healthineers NAEOTOM Alpha,which,since its NMPA approval in late 2023. 展开更多
关键词 united imaging healthcare high end diagnostic equipment uct ultima China photon counting ct national medical products administration market exclusivit clinical revolution
Joint Control of Traffic Signal and Tolling on Parallel Roads via Deep Reinforcement Learning 认领 引用
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作者 Jiahui Jin Yiwen Li +1 位作者 Xiaoxuan Zhu Ran Ma 《Tsinghua Science and Technology》 SCIE EI CAS CSCD 2026年第2期837-850,共14页
Due to the rising of traffic volumes,city expressways are experiencing significant congestion,leading cities to introduce parallel surface roads as alternative routes to help drivers bypass traffic bottlenecks.In such... Due to the rising of traffic volumes,city expressways are experiencing significant congestion,leading cities to introduce parallel surface roads as alternative routes to help drivers bypass traffic bottlenecks.In such scenarios,road pricing on expressways and traffic signal controls on surface roads have shown effectiveness in alleviating citywide congestion.However,existing research on these strategies often neglects the optimization of the entire parallel road network,failing to simultaneously address congestion on both expressways and surface roads.In this paper,we propose a Collaborative Optimization mechanism of Price and Traffic Signal Control(CO-PTSC)based on deep reinforcement learning,a novel approach that integrates road pricing and traffic signal control,using deep reinforcement learning to optimize traffic flow and minimize travel times across the parallel road network.Our experimental results demonstrate significant improvements in network efficiency and reduced travel times. 展开更多
关键词 deep reinforcement learning traffic signal control road pricing parallel roads
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An efficient deterministic secure quantum communication scheme based on cluster states and identity authentication 认领 引用 被引量：10
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作者 刘文杰 陈汉武 +3 位作者 马廷淮 李志强 刘志昊 胡文博 《Chinese Physics B》 SCIE EI CAS 2009年第10期4105-4109,共5页
A novel efficient deterministic secure quantum communication scheme based on four-qubit cluster states and single-photon identity authentication is proposed. In this scheme, the two authenticated users can transmit tw... A novel efficient deterministic secure quantum communication scheme based on four-qubit cluster states and single-photon identity authentication is proposed. In this scheme, the two authenticated users can transmit two bits of classical information per cluster state, and its efficiency of the quantum communication is 1/3, which is approximately 1.67 times that of the previous protocol presented by Wang et al [Chin. Phys. Lett. 23 （2006） 2658]. Security analysis shows the present scheme is secure against intercept-resend attack and the impersonator＇s attack. Furthermore, it is more economic with present-day techniques and easily processed by a one-way quantum computer. 展开更多
关键词 deterministic secure quantum communication cluster state identity authentication
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A New Approach of Feature Selection for Text Categorization 认领 引用 被引量：7
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作者 CUI Zifeng XU Baowen +1 位作者 ZHANG Weifeng XU Junling 《Wuhan University Journal of Natural Sciences》 EI CAS 2006年第5期1335-1339,共5页
This paper proposes a new approach of feature selection based on the independent measure between features for text categorization. A fundamental hypothesis that occurrence of the terms in documents is independent of e... This paper proposes a new approach of feature selection based on the independent measure between features for text categorization. A fundamental hypothesis that occurrence of the terms in documents is independent of each other, widely used in the probabilistic models for text categorization （TC）, is discussed. However, the basic hypothesis is incom plete for independence of feature set. From the view of feature selection, a new independent measure between features is designed, by which a feature selection algorithm is given to ob rain a feature subset. The selected subset is high in relevance with category and strong in independence between features, satisfies the basic hypothesis at maximum degree. Compared with other traditional feature selection method in TC （which is only taken into the relevance account）, the performance of feature subset selected by our method is prior to others with experiments on the benchmark dataset of 20 Newsgroups. 展开更多
关键词 feature selection independency CHI square test text categorization
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Application of endoscopic ultrasonography for detecting esophageal lesions based on convolutional neural network 认领 引用 被引量：3
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作者 Gao-Shuang Liu Pei-Yun Huang +3 位作者 Min-Li Wen Shuai-Shuai Zhuang Jie Hua Xiao-Pu He 《World Journal of Gastroenterology》 SCIE CAS 2022年第22期2457-2467,共11页
BACKGROUND A convolutional neural network(CNN) is a deep learning algorithm based on the principle of human brain visual cortex processing and image recognition.AIM To automatically identify the invasion depth and ori... BACKGROUND A convolutional neural network(CNN) is a deep learning algorithm based on the principle of human brain visual cortex processing and image recognition.AIM To automatically identify the invasion depth and origin of esophageal lesions based on a CNN.METHODS A total of 1670 white-light images were used to train and validate the CNN system.The method proposed in this paper included the following two parts:(1)Location module,an object detection network,locating the classified main image feature regions of the image for subsequent classification tasks;and(2) Classification module,a traditional classification CNN,classifying the images cut out by the object detection network.RESULTS The CNN system proposed in this study achieved an overall accuracy of 82.49%,sensitivity of 80.23%,and specificity of 90.56%.In this study,after follow-up pathology,726 patients were compared for endoscopic pathology.The misdiagnosis rate of endoscopic diagnosis in the lesion invasion range was approximately 9.5%;41 patients showed no lesion invasion to the muscularis propria,but 36 of them pathologically showed invasion to the superficial muscularis propria.The patients with invasion of the tunica adventitia were all treated by surgery with an accuracy rate of 100%.For the examination of submucosal lesions,the accuracy of endoscopic ultrasonography(EUS) was approximately 99.3%.Results of this study showed that EUS had a high accuracy rate for the origin of submucosal lesions,whereas the misdiagnosis rate was slightly high in the evaluation of the invasion scope of lesions.Misdiagnosis could be due to different operating and diagnostic levels of endoscopists,unclear ultrasound probes,and unclear lesions.CONCLUSION This study is the first to recognize esophageal EUS images through deep learning,which can automatically identify the invasion depth and lesion origin of submucosal tumors and classify such tumors,thereby achieving good accuracy.In future studies,this method can provide guidance and help to clinical endoscopists. 展开更多
关键词 Endoscopic ultrasonography Convolutional neural network Esophageal lesion Automatically Classify Identify
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Collision-free Scheduling of Multi-bridge Machining Systems: A Colored Traveling Salesman Problem-based Approach 认领 引用 被引量：4
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作者 Jun Li Xianghu Meng Xing Dai 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2018年第1期139-147,共9页
Multi-bridge machining systems(MBMS) have gained wide applications in industry due to their high production capacity and efficiency. They contain multiple bridge machines working in parallel within their partially ove... Multi-bridge machining systems(MBMS) have gained wide applications in industry due to their high production capacity and efficiency. They contain multiple bridge machines working in parallel within their partially overlapping workspaces.Their scheduling problems can be abstracted into a serial-colored travelling salesman problem in which each salesman has some exclusive cities and some cities shared with its neighbor(s). To solve it, we develop a greedy algorithm that selects a neighboring city satisfying proximity. The algorithm allows a salesman to select randomly its shared cities and runs accordingly many times. It can thus be used to solve job scheduling problems for MBMS. Subsequently, a collision-free scheduling method is proposed to address both job scheduling and collision resolution issues of MBMS. It is an extension of the greedy algorithm by introducing time window constraints and a collision resolution mechanism. Thus, the augmented greedy algorithm can try its best to select stepwise a job for an individual machine such that no time overlaps exist between it and the job sequence of the neighboring machine dealt in the corresponding overlapping workspace; and remove such a time overlap only when it is inevitable. Finally, we conduct a case study of a large triplebridge waterjet cutting system by applying the proposed method. 展开更多
关键词 Collision resolution greedy algorithm modeling multiple traveling salesman problem scheduling
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