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Intelligent Orchestrating of IoT Microservices Based on Reinforcement Learning

Chinese Journal of Electronics 2022年第5期31卷 930-937页

作者： WU Yuqin SHEN Congqi CHEN Shuhan WU Chunming LI Shunbin WEI Ruan College of Computer Science and Technology Zhejiang University College of Information and Electrical Engineering Ningde Normal University Zhejiang Lab College of Control Science and Engineering Zhejiang University

With the recent increase in the number of Internet of things(IoT) services, an intelligent scheduling strategy is needed to manage these services. In this paper, the problem of automatic choreography of microservices in IoT is explored. A type of reinforcement learning(RL) algorithm called TD3 is used to generate the optimal choreography policy under the framework of a softwaredefined network. The optimal policy is gradually reached during the learning procedure to achieve the goal, despite the dynamic characteristics of the network environment. The simulation results show that compared with other methods, the TD3 algorithm converges faster after a certain number of iterations, and it performs better than other non-RL algorithms by obtaining the highest reward. The TD3 algorithm can effciently adjust the traffic transmission path and provide qualified IoT services.

关键词： software-defined network telecommunication scheduling intelligent orchestrating nonRL algorithms reinforcement learning software defined networking optimal choreography policy reinforcement learning algorithm Internet of things services network environment IoT microservices TD3 algorithm traffic transmission path Internet of Things qualified IoT services intelligent scheduling strategy dynamic characteristics

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Multi-scale cross-domain alignment for person image generation

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CAAI Transactions on Intelligence Technology 2024年第2期9卷 374-387页

作者： Liyuan Ma Tingwei Gao Haibin Shen Kejie Huang Department of Information Science&Electronic Engineering Zhejiang UniversityHangzhouZhejiangChina Alibaba Group HangzhouChina

Person image generation aims to generate images that maintain the original human appearance in different target *** works have revealed that the critical element in achieving this task is the alignment of appearance domain and pose *** alignment methods,such as appearance flow warping,correspondence learning and cross attention,often encounter challenges when it comes to producing fine texture *** approaches suffer from limitations in accurately estimating appearance flows due to the lack of global receptive ***,they can only perform cross-domain alignment on high-level feature maps with small spatial dimensions since the computational complexity increases quadratically with larger feature *** this article,the significance of multi-scale alignment,in both low-level and high-level domains,for ensuring reliable cross-domain alignment of appearance and pose is *** this end,a novel and effective method,named Multi-scale Crossdomain Alignment(MCA)is ***,MCA adopts global context aggregation transformer to model multi-scale interaction between pose and appearance inputs,which employs pair-wise window-based cross ***,leveraging the integrated global source information for each target position,MCA applies flexible flow prediction head and point correlation to effectively conduct warping and fusing for final transformed person image *** proposed MCA achieves superior performance on two popular datasets than other methods,which verifies the effectiveness of our approach.

关键词： artificial intelligence image processing image reconstruction

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PicaCAN: Reverse engineering Physical Semantics of Signals in CAN Messages Using Physically-Induced Causalities

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IEEE Transactions on Mobile Computing 2025年第7期24卷 5871-5887页

作者： Ruan, Yucheng Zhao, Chengcheng Yang, Zeyu Shu, Yuanchao Cheng, Peng Chen, Jiming Zhejiang University College of Control Science and Engineering Hangzhou310027 China Singapore University of Technology and Design iTrust 487372 Singapore

With the rapid development of Connected and Autonomous Vehicles, In-Vehicle Network attacks have garnered heightened research scrutiny due to vehicles’ increasing connectivities to the external environment. The common characteristic among these attacks is to tamper with targeted powertrain-related signals in the Powertrain controller Area Network (PT-CAN) and further physically threaten vehicles’ safety. These powertrain-related signals are encoded within CAN messages grounded by the syntax specification, which is proprietary to Original Equipment Manufacturers and publicly unavailable. Thus, to undertake comprehensive security analysis and strategies, reverse engineering PT-CAN to the semantic level is urgently needed. However, the existing methods rely on interactions (injecting challenge signals/actions) with the targeted vehicle, and certain manual efforts are required. To fill this gap, we propose PicaCAN, a novel framework to extract signals from CAN messages and reverse engineer their physical semantics based on physically induced causality. Once access to the CAN traffic, PicaCAN offers the researcher an eye on the vehicle’s powertrain system, decoding binaries flows into powertrain-related signals automatically. We experimentally evaluate PicaCAN on PT-CAN of three automobiles containing two power types. The experimental results show that PicaCAN could successfully extract physical signals representing all targeted semantics (pedals, engine speed, etc.) from two Internal Combustion Engine Vehicles and one Hybrid Electric Vehicle under EV mode. © 2002-2012 IEEE.

关键词： Reverse engineering

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Open-source dataset for traffic light and countdown display detection in urban environment

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science China(Information sciences) 2025年第5期68卷 407-408页

作者： Shuchun WAN Haitao DING Jianwei ZHANG Yunfeng HU Hong CHEN State Key Laboratory of Automotive Simulation and Control Jilin University Department of Control Science and Engineering Jilin University College of Electronic and Information Engineering Tongji University

Here we introduce an open-source dataset for traffic light and countdown display detection,which includes three subsets:a subset of traffic light data,a subset of traffic light and countdown display data,and a subset ...

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Structural designs and mechanism insights into electrocatalytic oxidation of 5-hydroxymethylfurfural

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Journal of Energy Chemistry 2025年第1期100卷 792-814页

作者： Jing Lei Huijie Zhang Jian Yang Jia Ran Jiqiang Ning Haiyan Wang Yong Hu Key Laboratory of the Ministry of Education for Advanced Catalysis Materials Department of ChemistryZhejiang Normal UniversityJinhua 321004ZhejiangChina Jinhua Advanced Research Institute Jinhua 321019ZhejiangChina Department of Optical Science and Engineering Fudan UniversityShanghai 200438China College of Chemistry and Materials Engineering Zhejiang A&F UniversityHangzhou 311300ZhejiangChina

Biomass conversion offers an efficient approach to alleviate the energy and environmental *** oxidation of 5-hydroxymethylfurfural(HMF)has attracted tremendous attention in the latest few years for the mild synthesis conditions and high conversion efficiency to obtain 2,5-furan dicarboxylic acid(FDCA),but there still remain problems such as limited yield,short cycle life,and ambiguous reaction *** many reviews highlighting a variety of electrocatalysts for electrochemical oxidation of HMF,a detailed discussion of the structural modulation of catalyst and the underlying catalytic mechanism is still *** herein provide a comprehensive summary of the recent development of electrochemical oxidation of HMF to FDCA,particularly focusing on the mechanism studies as well as the advanced strategies developed to regulate the structure and optimize the performance of the electrocatalysts,including heterointerface construction,defect engineering,single-atom engineering,and in situ *** characterization techniques and theoretical calculation methods for mechanism and active site studies are elaborated,and challenges and future directions of electrochemical oxidation of HMF are also *** review will provide guidance for designing advanced catalysts and deepening the understanding of the reaction mechanism beneath electrochemical oxidation of HMF to FDCA.

关键词： Electrochemical oxidation of 5- hydroxymethylfurfural 2,5-Furan dicarboxylic acid Structural design Mechanism Electrocatalysts

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Steady-state and dynamic simulation of gas phase polyethylene process

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Chinese Journal of Chemical engineering 2024年第11期75卷 110-120页

作者： Xiaodong Hong Wanke Chen Zuwei Liao Xiaoqiang Fan Jingyuan Sun Yao Yang Chunhui Zhao Jingdai Wang Yongrong Yang State Key Laboratory of Chemical Engineering College of Chemical and Biological EngineeringZhejiang UniversityHangzhou 310027China Engineering Research Center of Functional Materials Intelligent Manufacturing of Zhejiang Province ZJU-Hangzhou Global Scientific and Technological Innovation CenterHangzhou 311215China Ningbo Research Institute Zhejiang UniversityNingbo 315100China State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang UniversityHangzhou 310027China

Gas-phase polyethylene(PE)processes are among the most important methods for PE production.A deeper understanding of the process characteristics and dynamic behavior,such as properties of PE and reactor stability,holds substantial interest for both academic researchers and *** this study,both steady-state and dynamic models for a gas-phase polyethylene process are established as a simulation platform,which can be used to study a variety of operation tasks for commercial solution polyethylene processes,such as new product development,process control and real-time *** copolymerization kinetic parameters are fitted by industrial ***,a multi-reactor series model is developed to characterize the temperature distribution within the fluidized bed *** accuracy in predicting melt index and density of the polymer,and the dynamic behavior of the developed models are verified by real plant ***,the dynamic simulation platform is applied to compare four practical control schemes for reactor temperature by a series of simulation experiments,since temperature control is important in industrial *** results reveal that all four schemes effectively track the setpoint ***,only the demineralized water temperature cascade control demonstrates excellent performance in handling disturbances from both the recycle gas subsystem and the heat exchange subsystem.

关键词： Gas-phase polyethylene process Steady state Dynamic modeling control

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Emerging near-infrared luminescent materials fornext-generation broadband optical communications

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InfoMat 2024年第8期6卷 55-84页

作者： Beibei Xu Chaoyuan Jin Jae-Seong Park Huiyun Liu Xing Lin Junjie Cui Daoyuan Chen Jianrong Qiu State Key Laboratory of Extreme Photonics and Instrumentation School of Optical Science and EngineeringZhejiang UniversityHangzhouZhejiangChina Institute of Microelectronics and Nanoelectronics College of Information Science and Electronic EngineeringZhejiang UniversityHangzhouZhejiangChina Department of Electronic and Electrical Engineering University College LondonLondonUK

The rapid development of emerging technologies observed in recent years,such as artificial intelligence, machine learning, mobile internet, big data,cloud computing, and the Internet of Everything, are generating escalatingdemands for expanding the capacity density, and speed in next-generation opticalcommunications. This poses a significant challenge to existing communicationtechniques. Within this context, the integration of near-infraredbroadband, tunable, and high-gain luminescent materials into silicon opticalcircuits or fiber architectures to transmit and modulate light shows enormouspotential for advancing next-generation communication techniques. Here, thisreview provides an overview of the recent breakthroughs in near-infrared luminescentepitaxial/colloidal quantum dots, and metal-active-center-doped materialsfor broadband optical amplifiers and tunable lasers. We also expound onefforts to enhance the bandwidth and gain of these materials-based amplifiersand lasers, exploring the challenges associate with developing ultra-broadbandand high-speed optical communication systems. Additionally, the potentialapplications in Fifth Generation Fixed Networks, integration with 5G and 6Gwireless networks, compensation for current Si electronic based CMOS forhigh computing capability, and the prospects of these light sources for nextgenerationoptoelectronic devices are discussed.

关键词： laser metal-active-center next generation optical communication optical amplifier quantum dot

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PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection 38

PointAD: Comprehending 3D Anomalies from Points and Pixels f...

引用

38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： Zhou, Qihang Yan, Jiangtao He, Shibo Meng, Wenchao Chen, Jiming College of Control Science and Engineering Zhejiang University China

Zero-shot (ZS) 3D anomaly detection is a crucial yet unexplored field that addresses scenarios where target 3D training samples are unavailable due to practical concerns like privacy protection. This paper introduces PointAD, a novel approach that transfers the strong generalization capabilities of CLIP for recognizing 3D anomalies on unseen objects. PointAD provides a unified framework to comprehend 3D anomalies from both points and pixels. In this framework, PointAD renders 3D anomalies into multiple 2D renderings and projects them back into 3D space. To capture the generic anomaly semantics into PointAD, we propose hybrid representation learning that optimizes the learnable text prompts from 3D and 2D through auxiliary point clouds. The collaboration optimization between point and pixel representations jointly facilitates our model to grasp underlying 3D anomaly patterns, contributing to detecting and segmenting anomalies of unseen diverse 3D objects. Through the alignment of 3D and 2D space, our model can directly integrate RGB information, further enhancing the understanding of 3D anomalies in a plug-and-play manner. Extensive experiments show the superiority of PointAD in ZS 3D anomaly detection across diverse unseen objects. Code is available at https://***/zqhang/PointAD. © 2024 Neural information processing systems foundation. All rights reserved.

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Enhanced Tube-Based Event-Triggered Stochastic Model Predictive control With Additive Uncertainties

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IEEE/CAA Journal of Automatica Sinica 2025年第3期12卷 596-605页

作者： Chenxi Gu Xinli Wang Kang Li Xiaohong Yin Shaoyuan Li Lei Wang the School of Control Science and Engineering Shandong University IEEE the School of Electronic and Electrical Engineering University of Leeds the Qingdao University of Science and Technology the Department of Automation Shanghai Jiao Tong University the Key Laboratory of System Control and Information Processing Ministry of Education of China

This paper proposes an event-triggered stochastic model predictive control for discrete-time linear time-invariant(LTI) systems under additive stochastic disturbances. It first constructs a probabilistic invariant set and a probabilistic reachable set based on the priori knowledge of system *** with enhanced robust tubes, the chance constraints are then formulated into a deterministic form. To alleviate the online computational burden, a novel event-triggered stochastic model predictive control is developed, where the triggering condition is designed based on the past and future optimal trajectory tracking errors in order to achieve a good trade-off between system resource utilization and control performance. Two triggering parameters σ and γ are used to adjust the frequency of solving the optimization problem. The probabilistic feasibility and stability of the system under the event-triggered mechanism are also examined. Finally, numerical studies on the control of a heating, ventilation, and air conditioning(HVAC) system confirm the efficacy of the proposed control.

关键词： Event-triggered mechanism heating, ventilation, and air conditioning (HVAC) control probabilistic reachable set stochastic model predictive control

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Nanosheet-Doped Polymer Composites with High Intrinsic Piezoelectric Properties for Energy Harvesting

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Energy & Environmental Materials 2025年第1期8卷 121-132页

作者： Kaihang Zhang Jiaqi Lu Xinyu Cai Muhammad Naeem Shah Jianhui Wu Jie Li Yifan Wu Chi Zhang Liangquan Xu Haoze Kuang Dinku Hazarika Binghan Zhou Zhuo Chen Zhen Cao Hao Jin Shurong Dong Yuhui Huang Qilong Zhang Yongjun Wu Luigi Giuseppe Occhipinti Tawfique Hasan Jikui Luo College of Information Science and Electronic Engineering Zhejiang UniversityHangzhou 310027China International Campus Zhejiang UniversityHaining 314400China 2nd Affiliated Hospital School of MedicineZhejiang UniversityHangzhou 310009China Cambridge Graphene Centre Department of EngineeringUniversity of CambridgeCambridge CB30FAUK School of Materials Science and Engineering Zhejiang UniversityHangzhou 310027China Key Lab of CS&AUS of Zhejiang Province Zhejiang UniversityHangzhou 310027ZhejiangChina

Few-layer nanosheets(NSs)of hexagonal boron nitride(h-BN)and molybdenum disulfide(MoS_(2))display notable piezoelectric ***,their integration into polymers typically yields non-piezoelectric composites due to NSs’random *** introduce a facile method for fabricating intrinsic piezoelectric composites incorporated with NSs without electric *** innovative process aligns NSs within polyvinyl alcohol polymer,leveraging ice-water interfacial tension,water crystallization thrust,and directional cross-linking during *** resulting PE composites exhibit a maximum piezoelectric coefficient of up to 25.5-28.4 pC N^(-1),comparable to polyvinylidene difluoride(PVDF),with significant costefficiency,safety,and scalability advantages over conventional *** this composite,we develop highly sensitive wearable pressure and strain sensors,and an ultrasound energy *** sensors detect finger bending and differentiate between walking and running,while the harvester generates1.18 V/2.31μA under 1Wcm^(-2)ultrasound input *** universal method offers a novel manufacturing technique for piezoelectric composites,demonstrating remarkable effectiveness in synthesizing intrinsic piezoelectric composites based on 2D ***,its potential extends to applications in wearable electronics and energy harvesting,promising significant advancements in these fields.

关键词： nanoscale alignment process piezoelectric composite piezoelectric transducers and sensors vertically aligned NSs

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