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32nd ACM International Conference on Multimedia, MM 2024

作者： Zhu, Jiajie Du, Xia Zhou, Jizhe Pun, Chi-Man Xu, Qizhen Liu, Xiaoyuan School of Computer and Information Engineering Xiamen University of Technology Xiamen China School of Computer Science Engineering Research Center of Machine Learning and Industry Intelligence Sichuan University Chengdu China Department of Computer and Information Science University of Macau China

ISBN: (纸本)9798400706868

In digital security, Reversible Adversarial Examples (RAE) blend adversarial attacks with Reversible Data Hiding (RDH) within images to thwart unauthorized access. Traditional RAE methods, however, compromise attack efficiency for the sake of perturbation concealment, diminishing the protective capacity of valuable perturbations and limiting applications to white-box scenarios. This paper proposes a novel Dual-Phase merging Reversible Adversarial Example (DP-RAE) generation framework, combining a heuristic black-box attack and RDH with Grayscale Invariance (RDH-GI) technology. This dual strategy not only evaluates and harnesses the adversarial potential of past perturbations more effectively but also guarantees flawless embedding of perturbation information and complete recovery of the original image. Experimental validation reveals our method's superiority, secured an impressive 96.9% success rate and 100% recovery rate in compromising black-box models. In particular, it achieved a 90% misdirection rate against commercial models under a constrained number of queries. This marks the first successful attempt at targeted black-box reversible adversarial attacks for commercial recognition models. This achievement highlights our framework's capability to enhance security measures without sacrificing attack performance. Moreover, our attack framework is flexible, allowing the interchangeable use of different attack and RDH modules to meet advanced technological requirements. © 2024 ACM.

关键词： Differential privacy

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Integrating All-optical Switching and Entangled Photon Source Placement for Entanglement Routing 31

Integrating All-optical Switching and Entangled Photon Sourc...

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31st IEEE/ACM International Symposium on Quality of Service, IWQoS 2023

作者： Zhu, Qiucheng Zhao, Yangming Xu, Hongli Huang, Liusheng Qiao, Chunming School of Computer Science and Technology University of Science and Technology of China China Suzhou Institute for Advanced Research University of Science and Technology of China China University at Buffalo Department of Computer Science and Engineering United States

ISBN: (纸本)9798350399738

Entanglement routing plays a vital role in quantum networks. Previous works on entanglement routing did not note that all-optical switching capacity can be used to improve the network throughput or ignored that the placement of Entangled Photon Sources (EPS), another type of precious (and costly) quantum source, which also limits the network throughput. In this paper, we propose OptEPS to jointly optimize all-optical switching and EPS placement in entanglement routing to maximize the quantum network throughput. The main challenge of OptEPS lies in two folds: i). an entanglement may fail to be created;ii). the joint optimization problem suffers from a large time complexity. To overcome these challenges, we first formulate the joint optimization problem as a link-path based model and prune out some candidate paths in order to reduce the time complexity. Then, efficient algorithms are proposed to derive a near-optimal solution in a timely manner. Extensive simulations show that compared with the solutions ignoring EPS placement or without introducing all-optical switching, OptEPS will increase the network throughput by 1557% and 109%, respectively. © 2023 IEEE.

关键词： Photons

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Effective and Efficient Community Search with Graph Embeddings 26

Effective and Efficient Community Search with Graph Embeddin...

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26th European Conference on Artificial Intelligence, ECAI 2023

作者： Gou, Xiaoxuan Xu, Xiaoliang Wu, Xiangying Chen, Runhuai Wang, Yuxiang Wu, Tianxing Ke, Xiangyu Hangzhou Dianzi University School of Computer Science China Southeast University School of Computer Science and Engineering China Zhejiang University School of Software Technology China

ISBN: (纸本)9781643684369

Given a graph G and a query node q, community search (CS) seeks a cohesive subgraph from G that contains q. CS has gained much research interests recently. In the database research community, researchers aim to find the most cohesive subgraph satisfying a specific community model (e.g., k-core or k-truss) via graph traversal. These works obtain good precision, however suffering from the low efficiency issue. In the AI research community, a new thought of using the deep learning model to support CS without relying on graph traversal emerges. Supervised end-to-end models using GCN are presented, which perform efficiently, but leave a large room for precision improvement. None of them can achieve a good balance between the efficiency and effectiveness. This motivates our solution: First, we present an offline community-injected graph embedding method to preserve the community's cohesiveness features into the learned node representations. Second, we resort to a proximity graph (PG) built from node representations, to quickly return the community online. Moreover, we develop a self-augmented method based on KL divergence to further optimize node representations. Extensive experiments on seven real-world graphs show our solution's superiority on effectiveness (at least 39.3% improvement) and efficiency (one to two orders of magnitude faster). © 2023 The Authors.

关键词： Efficiency

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Improved Dynamic Johnson Sequencing Algorithm(DJS)in Cloud Computing Environment for Efficient Resource Scheduling for Distributed Overloading

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Journal of Systems science and Systems engineering 2024年第4期33卷 391-424页

作者： Anurag Sinha Pallab Banerjee Sharmistha Roy Nitasha Rathore Narendra Pratap Singh Mueen Uddin Maha Abdelhaq Raed Alsaqour Department of Computer Science Engineering ICFAI Tech SchoolICFAI UniversityJharkhandRanchi834004India Department of Computer Science Engineering Amity UniversityJharkhandRanchi835303India Department of Computing and Information Technology Usha Martin UniversityRanchi835103India Department of Information Technology Bharti Vidyapeeth’s College of EngineeringPaschim ViharNew DelhiIndia Department of CSE Delhi UniversityNew DelhiIndia College of Computing and Information Technology University of Doha for Science and TechnologyDoha24449Qatar Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdurrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Technology College of Computing and InformaticsSaudi Electronic University93499RiyadhSaudi Arabia

This study introduces an innovative approach to optimize cloud computing job distribution using the Improved Dynamic Johnson Sequencing Algorithm(DJS).Emphasizing on-demand resource sharing,typical to Cloud Service Providers(CSPs),the research focuses on minimizing job completion delays through efficient task *** Johnson’s rule from operations research,the study addresses the challenge of resource availability post-task *** advocates for queuing models with multiple servers and finite capacity to improve job scheduling models,subsequently reducing wait times and queue *** Dynamic Johnson Sequencing Algorithm and the M/M/c/K queuing model are applied to optimize task sequences,showcasing their efficacy through comparative *** research evaluates the impact of makespan calculation on data file transfer times and assesses vital performance indicators,ultimately positioning the proposed technique as superior to existing approaches,offering a robust framework for enhanced task scheduling and resource allocation in cloud computing.

关键词： First come first served(FCFS)scheduling round robin task scheduling queuing model Johnson scheduling algorithm

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An artificial systems,computational experiments and parallel execution-based surface electromyogram-driven anti-disturbance zeroing neurodynamic strategy for upper limb human-robot interaction control

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CAAI Transactions on Intelligence technology 2024年第2期9卷 511-525页

作者： Yongbai Liu Keping Liu Gang Wang Jiliang Zhang Yao Chou Zhongbo Sun Department of Mechanical Engineering Changchun University of TechnologyChangchunChina Department of Control Engineering Changchun University of TechnologyChangchunChina School of Electrical and Information Engineering Jilin Engineering Normal UniversityChangchunChina College of Information Science and Engineering Northeastern UniversityShenyangChina Department of Electrical and Computer Engineering Brigham Young UniversityProvoUtahUSA

In recent years,intelligent robots are extensively applied in the field of the industry and intelligent rehabilitation,wherein the human-robot interaction(HRI)control strategy is a momentous part that needs to be ***,the efficacy and robustness of the HRI control algorithm in the presence of unknown external disturbances deserve to be *** deal with these urgent issues,in this study,artificial systems,computational experiments and a parallel execution intelligent control framework are constructed for the HRI *** upper limb-robotic exoskeleton system is re-modelled as an artificial *** on surface electromyogram-based subject's active motion intention in the practical system,a non-convex function activated anti-disturbance zeroing neurodynamic(NC-ADZND)controller is devised in the artificial system for parallel interaction and HRI control with the practical ***,the linear activation function-based zeroing neurodynamic(LAF-ZND)controller and proportionalderivative(posterior deltoid(PD))controller are presented and *** results substantiate the global convergence and robustness of the proposed controller in the presence of different external *** addition,the simulation results verify that the NC-ADZND controller is better than the LAF-ZND and the PD controllers in respect of convergence order and anti-disturbance characteristics.

关键词： neural network pattern recognition robotics signal processing

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PPARαdeficiency exacerbates retinal pathological changes and dysfunction in high-fat diet mice

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International Journal of Ophthalmology(English edition) 2025年第6期18卷 986-995页

作者： Xue Wang Jing-Jing Ding Chao-Feng Yu Deng-Cheng Xiao Li-Ming Tao Zheng-Xuan Jiang Department of Ophthalmology the Second Affiliated Hospital of Anhui Medical UniversityAnhui Medical UniversityHefei 230000Anhui ProvinceChina University of Science and Technology of China Suzhou Institute of Biomedical Engineering and TechnologySuzhou 215163Jiangsu ProvinceChina Aier Academy of Ophthalmology Central South UniversityChangsha 410018Hunan ProvinceChina Department of Clinical Medicine the Second School of Clinical MedicineAnhui Medical UniversityHefei 230022Anhui ProvinceChina

AIM:To examined the effects of a high-fat diet(HFD)on retinal pathological changes and dysfunction using peroxisome proliferator-activated receptor-alpha(PPARα)knockout ***:For four months,C57BL/6J and PPARαknockout mice received either HFD or a standard diet(SD).A fluorometric method was used to determine the retinal *** retinal malondialdehyde(MDA)content was ***-eosin was used to evaluate retinal pathological *** expression was analyzed by Western blot and immunofluorescence,while mRNA expression was evaluated by quantitative reverse transcription-polymerase chain *** was used to assess retinal ***:HFD resulted in increased fatty acidβ-oxidation in the inner retina,particularly retinal ganglion cells(RGCs),as well as increased weight and accumulation of retinal *** fatty acid β-oxidation and triglyceride accumulation were affected by PPARα^(−/−)***αknockdown increased the infiltration and activation of inflammatory cells,as well as it upregulated the nuclear factor kappa B(NF-κB)signaling pathway and corresponding proinflammatory cytokine levels in the most retina subjected to the *** the HFD mice,oxidative stress levels were elevated in the inner retina,particularly in the HFD PPARα^(−/−)***-induced RGCs apoptosis initiation was exacerbated by PPARα***,HFD feeding resulted in the lower amplitudes of scotopic a-wave,b-wave and photopic negative response(PhNR)wave,particularly in HFD PPARα^(−/−)***:In HFD-fed mice retina,particularly in the inner retina,PPARα knockout increases lipid metabolic abnormalities,inflammatory responses,oxidative stress,apoptosis initiation and dysfunction.

关键词： peroxisome proliferator-activated receptoralpha high-fat diet retina electroretinogram

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Design of Three-Band Two-Port MIMO Antenna for 5G and Future 6G Applications Based on Fence-Shaped Decoupling Structure

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Progress In Electromagnetics Research C 2023年 134卷 249-261页

作者： Wang, Zhonggen Ren, Wanying Nie, Wenyan Mu, Weidong Li, Chenlu School of Electrical and Information Engineering Anhui University of Science and Technology Huainan232001 China School of Mechanical and Electrical Engineering Huainan Normal University Huainan232001 China School Electrical and Information Engineering Hefei Normal University Hefei230061 China

In this paper, a new design of a highly isolated tri-band antenna for 5G and future 6G applications is proposed. The overall dimensions of the proposed antenna are just 56.4 × 36.6 mm2;moreover, it contains two monopole antenna units and a defective ground. The tri-band characteristics of the antenna are achieved by improving the single antenna patch structure. The structure is improved based on the original T-shaped decoupling structure to create a fence-shaped decoupling structure consisting of an improved T-shaped and an improved rectangular structure. This will greatly improve isolation by efficiently absorbing the coupling current. Therefore, the proposed antenna system is designed and tested to reach the 5G dual bands of 3.38 GHz–3.61 GHz, 4.51 GHz–4.96 GHz, and the future 6G band of 6.06 GHz–7.51 GHz. The results show that, relative to other antennas, this antenna has an isolation degree in the operating band greater than 13.1 dB. In addition, the antenna has good radiation characteristics and an acceptable envelope correlation coefficient. © 2023, Electromagnetics Academy. All rights reserved.

关键词： Monopole antennas

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Machine learning-aided scoring of synthesis difficulties for designer chromosomes

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science China(Life sciences) 2023年第7期66卷 1615-1625页

作者： Yan Zheng Kai Song Ze-Xiong Xie Ming-Zhe Han Fei Guo Ying-Jin Yuan Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering Ministry of EducationTianjin UniversityTianjin300072China School of Chemical Engineering and Technology Tianjin UniversityTianjin300072China School of Computer Science and Engineering Central South UniversityChangsha410083China

Designer chromosomes are artificially synthesized ***,these chromosomes have numerous applications ranging from medical research to the development of ***,some chromosome fragments can interfere with the chemical synthesis of designer chromosomes and eventually limit the widespread use of this *** address this issue,this study aimed to develop an interpretable machine learning framework to predict and quantify the synthesis difficulties of designer chromosomes in *** the use of this framework,six key sequence features leading to synthesis difficulties were identified,and an e Xtreme Gradient Boosting model was established to integrate these *** predictive model achieved high-quality performance with an AUC of 0.895 in cross-validation and an AUC of 0.885 on an independent test *** on these results,the synthesis difficulty index(S-index)was proposed as a means of scoring and interpreting synthesis difficulties of chromosomes from prokaryotes to *** findings of this study emphasize the significant variability in synthesis difficulties between chromosomes and demonstrate the potential of the proposed model to predict and mitigate these difficulties through the optimization of the synthesis process and genome rewriting.

关键词： synthetic biology machine learning artificial chromosome chemical synthesis

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An Application Ontology for Reproducibility of Machine Learning Solutions 34

An Application Ontology for Reproducibility of Machine Learn...

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34th Australasian Conference on Information Systems, ACIS 2023

作者： Bandara, Madhushi Jiang, Yuchao Gill, Asif Rabhi, Fethi A. Beydoun, Ghassan School of Computer Science University of Technology Sydney Sydney Australia School of Computer Science & Engineering University of New South Wales Sydney Australia

With Artificial Intelligence and Machine Learning (ML) on the rise, organisations of different scales and nature are looking to utilise ML systems to support their day-to-day operations. Many enterprises find it difficult to adapt existing ML solutions to their organisations without huge investments in solution understanding, customisation, infrastructure enablement and workforce training. Some organisations utilise external service providers to provision their standard analytics services, and this often leads to solutions that either do not fit well with their organisation goals or may lead to the loss of expert knowledge behind the establishment of the AI system. This paper aims to address some of these challenges by proposing an ontology for ensuring the reproducibility of ML models in research as well as their integration within application environments. Our work will ensure that the knowledge about a developed ML system or process is accumulated and recorded within an organisation and can be used in the future, either by new employees or other teams within the organisation. This approach can also be utilised by researchers and developers of ML systems to record and publish metadata of their studies, ensuring that future researchers can reuse their work with minimal effort. Copyright © 2023 [Madhushi Bandara, Yuchao Jiang, Asif Gill, Fethi A. Rabhi, Ghassan Beydoun].

关键词： Ontology

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Platoon-Based Resource Allocation in NOMA-Integrated V2X Networks 23

Platoon-Based Resource Allocation in NOMA-Integrated V2X Net...

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23rd IEEE International Conference on Communication technology, ICCT 2023

作者： Bao, Haizhou Huo, Yiming School of Computer Science and Technology Wuhan University of Science and Technology Wuhan China University of Victoria Department of Electrical and Computer Engineering Victoria Canada

ISBN: (纸本)9798350325959

This paper discusses the application of Cellular Vehicle-to-Everything (C-V2X) communications, specifically focusing on the integration of non-orthogonal multiple access (NOMA) in platoon technology within the V2X network. These systems have the potential to significantly enhance a variety of critical, content-oriented applications that extend beyond 5G and Internet of Things (IoT) infrastructures. Crucially, we argue that optimized communication at the edge of the network can effectively mitigate network congestion, augment delivery efficiency, and optimize energy use. Nonetheless, constraints inherent to vehicular networks, such as limited backhaul bandwidth and ever-changing topology, can compromise the reliability and latency of multimedia services in C-V2X networks, thereby affecting overall user experience. To address the mobility-related challenges of the topology, we introduce an intelligent driver model (IDM)-based platoon paradigm, and subsequently propose a NOMA-based platoon transmission model designed specifically for C-V2X networks. This NOMA-based transmission approach is intended to enhance vehicle-to-vehicle communications within the platoon, with the objective of optimizing throughput. Our simulation outcomes affirm the effectiveness of our proposed model in improving throughput while reducing response latency. © 2023 IEEE.

关键词： 5G Cellular Vehicular-to-Everything (C-V2X) Internet-of-Things (IoT) Non-Orthogonal Multiple Access (NOMA) Platoon

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