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8th International Conference on Data Science in Cyberspace, DSC 2023

作者： Zhang, Min Ye, Qing Deng, Kaihuan Naval University of Engineering Department of Information Security Wuhan China School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (纸本)9798350331035

The real-time map plays a vital role in the Internet of Vehicles (IoV) navigation. Compared with the existing map review, the real-time map review method is based on crowdsensing enabling faster data updates and shortening the map period from map collection to service. However, the crowdsensing method requires frequent interaction between the vehicle and nearby devices or servers, increasing the risk of user privacy leakage. How to ensure the privacy of users is a challenge in the real-time map review. Starting from the typical architecture of IoV and combining the core idea of zero-trust 'never trust, continuous verification', IoV-ZT conceptual model architecture is designed. This paper proposes a based on linkable ring signature map review scheme for zero-trust autonomous vehicles (LRSMR). In the LRSMR, a linkable ring signature based on the SM2 digital signature algorithm is used to protect user identity privacy and ensures while ensuring signature linkability by hiding the identity of the actual signer in the ring. Through the requirement for user credit, the reliability of the review data is improved. At the same time, the distribution of rewards increases users' motivation. At last, the security analysis indicates that the LRSMR satisfies correctness, unforgeability, unconditional anonymity, linkability and nonslanderability. The simulation results illustrate that the LRSMR is efficient in terms of communication overhead and computation cost. © 2023 IEEE.

关键词： Internet of vehicles Linkable ring signature Map review Zero-trust environment

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Estimating the AGV load and a battery lifetime based on the current measurement and random forest application

Estimating the AGV load and a battery lifetime based on the ...

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2023 IEEE International Conference on Big Data, BigData 2023

作者： Hanzel, Krzysztof Grzechca, Damian Ziebinski, Adam Chruszczyk, Lukas Janus, Artur Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Department of Telecommunications and Teleinformatics Gliwice Poland Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Department of Electronics Electrical Engineering and Microelectronics Gliwice Poland Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Department of Distributed Systems and Informatics Devices Gliwice Poland Silesian University of Technology Student of Electrical EngineeringFaculty of Electrical Engineering Gliwice Poland

ISBN: (纸本)9798350324457

The paper describes the energy consumption from the battery based on the current measurements for various cases, i.e., speed (PWL adjustment) and loads. The main purpose of the research is to have additional and reliable information about power consumption and battery life estimation for autonomous guided vehicles (AGV). The authors propose a two-step algorithm. In the first step, a linear classifier was proposed. Then, the KNN classifier was tested;however, it did not give satisfactory results, so it was finally decided to use the random forest to estimate the load and PWL. The time domain current measurement is evaluated, and the beforementioned algorithms process the selected statistical measures. It has been proven that a two-step algorithm allows for achieving high accuracy. Based on the current observation, the paper is a good starting point for further investigation of the AGV because it is usually implemented in the AGV - so it does not require additional hardware. Moreover, it can lead to better energy management and increase battery lifetime. © 2023 IEEE.

关键词： AGV load estimation machine learning Prediction of energy consumption random forest

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Toward quantum unmanned systems

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Science China(Technological Sciences) 2024年第7期67卷 2277-2280页

作者： CHENG ShuMing QI HongSheng SUN Yue LIU LiJun XIE ShaoRong REN XiaoQiang Department of Control Science and Engineering Tongji UniversityShanghai 200092China Academy of Mathematics and Systems Science Chinese Academy of SciencesBeijing 100190China Cipher Cloud Core Ltd. Beijing 100085China College of Mathematics and Computer Science Shanxi Normal UniversityLinfen 041081China School of Computer Engineering and Science Shanghai UniversityShanghai 200444China School of Mechatronic Engineering and Automation Shanghai UniversityShanghai 200444China

1 Quantum information technology Quantum information technology utilizes physical systems at the microscopic level, such as photon, atom, ion, and superconducting, to accomplish information-processing tasks that are impossible for the classical macroscopic world. During the past decade, significant process has been achieved in the pursuit of quantum technology into practical applications,generating great research interest from various domains, with the potential to radically change our information infrastructure [1–3].

关键词： quantum utilize generating

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Integrating OpenTitan as a Security controller for Cryptographic Tasks in RISC-V SoCs

Integrating OpenTitan as a Security Controller for Cryptogra...

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2025 Joint National Conference on Cybersecurity, ITASEC and SERICS 2025

作者： Musa, Alberto Parisi, Emanuele Barbierato, Luca Patti, Edoardo Acquaviva, Andrea Barchi, Francesco Università di Bologna Department of Electrical Electronic and Information Engineering "Guglielmo Marconi" Bologna Italy Politecnico di Torino Department of Control and Computer Engineering Turin Italy

RISC-V architectures are increasingly utilized in security-critical embedded systems, with OpenTitan standing out as a prominent open-source silicon Root-of-Trust. OpenTitan delivers essential functionalities, such as secure boot and execution integrity, but introduces notable area overhead. To mitigate this issue, we propose TitanSSL, a secure software stack that offloads cryptographic operations to OpenTitan. TitanSSL comprises an OpenSSL backend, a Linux driver for system communication, and a custom OpenTitan firmware. Communication between components is facilitated through a custom Application Binary Interface (ABI), ensuring the driver remains independent of the specific cryptographic operations executed by the OpenSSL engine. This design supports extensibility, enabling the integration of additional cryptographic primitives and enhancing the system flexibility. We evaluated TitanSSL on a System-on-Chip (SoC) featuring a CVA6 application core running Linux and OpenTitan, both clocked at 40 MHz on a Xilinx VCU118 FPGA. Our results reveal that, while there is communication overhead between system components, it is outweighed by substantial performance gains. Specifically, TitanSSL achieves speedups of 40x for SHA-256 and 82x for AES-256-CBC compared to a software-only implementation running on the CVA6 core. In addition, we provide design guidelines for future optimizations to improve system performance. © 2025 Copyright for this paper by its authors.

关键词： Firmware

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A Comparative Evaluation of GA and PSO Tuned PID controllers for the Quadruple Tank System

A Comparative Evaluation of GA and PSO Tuned PID Controllers...

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2024 International Conference on Information and Communication Technology for Development for Africa, ICT4DA 2024

作者： Hailu, Gashaye L. Yetayew, Tefera T. Bahir Dar University Electrical and Computer Engineering Faculty Bahir Dar Institute of Technology Bahir Dar Ethiopia Adama Science and Technology University Department of Power and Control Engineering Adama Ethiopia

ISBN: (纸本)9798331527792

In this research, nature inspired metaheuristic optimization algorithms: Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) Techniques are formulated to tune optimal combinations of PID controller parameters for a quadruple tank level control application. The degree of relation of the best paring for both interacted control loops are justified by using Relative Gain Array (RGA) calculation. The overall system has been modeled and implemented in MATLAB/Simulink and performance evaluations has been done for time domain performance specifications of settling time, rise time, percentage overshoot and steady state error as comparison criterions of controllers. Accordingly, for the minimum phase case, GA tuned PID has settling time of 0.36sec and 0.31second for the tank 1 and tank 2 respectively. And PSO tuned PID controller has settling time of 0.96sec and 0.35sec for tank 1and tank 2 respectively. The quantitative and qualitative analysis of results reveals that there is fast dynamic response using GA PID relative to PSO PID even though the difference is not significant that may be due to stochastic feature of the metahueristic optimization algorithms. In summary, the optimal combination of PID controller algorithms' parameters can give robust performance compared to PID controller designed using the classical approaches or manual tuning techniques. © 2024 IEEE.

关键词： Genetic algorithms

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Guidance of Agricultural Ground Robots Team with an Aerial Vehicle: A Cost-Effective Solution 56

Guidance of Agricultural Ground Robots Team with an Aerial V...

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56th International Symposium on Robotics, ISR Europe 2023

作者： Ugurlu, Halil Ibrahim Bardakci, Deniz Pham, Huy Xuan Kayacan, Erdal The Department of Electrical and Computer Engineering Aarhus University Aarhus C8000 Denmark Automatic Control Group Department of Electrical Engineering and Information Technology Paderborn University Paderborn Germany

ISBN: (纸本)9783800761418

Increasing the operational efficiency of agricultural machines is essential by the use of artificial intelligence (AI)-based navigation, planning, and control algorithms to handle the increasing demand for food production without compromising sustainability. In this study, an end-to-end path planning algorithm (AgroRL) is proposed for aerial-ground robots team collaboration. In the proposed solution, while main operations in the field are handled by the ground vehicle, the aerial robot is responsible for re-planning a collision-free trajectory for the ground robot when the robot faces an obstacle. Deep reinforcement learning is used for training the end-to-end policy for local re-planning of the aerial robot. The agent, informed by the global trajectory, generates local plans based on depth images. Variational autoencoders are also investigated for dimension reduction of the depth images in obstacle avoidance context to speed up deep reinforcement learning and alleviate the computational complexity of the policy network. The agriculture environment is developed in the Webots open-source robot simulator for training and testing purposes. The efficiency and efficacy of the end-to-end planner are evaluated over a number of cluttered field scenarios. The simulation experiments demonstrate a single aerial vehicle guiding multiple ground robots in agricultural operations. © VDE VERLAG GMBH Berlin Offenbach.

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UAV 3D Trajectory Planning Based on Improved A* Algorithm and Differential Evolution

Journal of Network Intelligence

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Journal of Network Intelligence 2023年第4期8卷 1150-1163页

作者： Yang, Li Tan, Liang Zhang, Fuquan Department of information engineering Sichuan Vocational and Technical College of Communications Chengdu611130 China Thai-Chinese International College Assumption University of Thailand Bangkok100027 Thailand College of Computer and Control Engineering Minjiang University Fuzhou350108 China

Track planning technology, as a key technology for UAV mission planning, has always been a major research hotspot in the field of UAVs. In real-life applications, due to the complex and constrained UAV flight environment, how to establish an accurate environment model and how to select an efficient planning algorithm become the elements to solve the trajectory planning problem. In this work, after studying existing trajectory planning algorithms, a method using a combination of improved A* algorithm and differential evolution algorithm is proposed for 3D trajectory planning in complex environments. Firstly, the mathematical modelling of the UAV track planning related problems, including the UAV model, manoeuvrability constraints and equivalent digital maps, is carried out. Secondly, an improved sparse A* algorithm is proposed for solving the winding path problem of the sparse A* algorithm, which reduces the winding path of the trajectory by extracting path feature points and quadratic optimisation. Finally, the improved sparse A* algorithm is combined with the differential evolutionary algorithm and applied to the UAV real-time trajectory planning, where the improved sparse A* algorithm is used for the UAV global trajectory planning and the differential evolutionary algorithm is applied to the emergent threat avoidance, i.e. local trajectory planning. The results of MATLAB simulations show that the proposed method can solve the patharound problem of the sparse A* algorithm and can be flexible in complex environments to achieve dynamic trajectory planning, thus effectively guaranteeing the flight safety of UAVs in practical environments. © 2023, Taiwan Ubiquitous Information CO LTD. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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Personalized Privacy Protection Incentive Mechanism for Mobile Crowdsourcing Based on Homomorphic Encryption and Edge Computing

Personalized Privacy Protection Incentive Mechanism for Mobi...

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IEEE International Conference on Web Services (ICWS)

作者： Yingxin Li Weilong Wang Yingjie Wang Tong Xiangrong Peiyong Duan Zhipeng Cai Department of Computer and Control Engineering Yantai University Department of Computer Science and Engineering Southeast University Department of Electrical and Control Qilu University of Technology Department of Computer Science Georgia State University

ISBN: (数字)9798350368550

ISBN: (纸本)9798350368567

With the rapid development of crowd sensing computing, Mobile crowdsourcing (MCS) has become an indispensable part of today’s society. While MCS brings convenience to people, it also exposes them to the risk of privacy leakage. In addition, the demand for data is increasing, and the personalized privacy requirements of crowd workers may affect the service quality. In order to address these problems, this paper proposes a personalized privacy protection incentive mechanism (PPPIM) for MCS based on homomorphic encryption and edge computing. Firstly, this paper designs a personalized privacy metric, using social attributes and private attributes of crowd workers to calculate the privacy level required by crowd workers. Then, based on homomorphic encryption and edge computing, a personalized residual federated security learning scheme (PRFSL) is proposed to ensure the security, timeliness, integrity of task data and the privacy of crowd workers’ needs to improve encryption efficiency. Finally, based on the evolutionary game, a personalized privacy incentive mechanism is proposed to improve the overall service utility. Experimental comparisons based on real datasets show that the proposed scheme can not only ensure the security, timeliness, and integrity of task data more effectively. It can also effectively reduce data processing time, improve the probability of crowd workers actively completing tasks and the overall service quality utility.

关键词： Crowdsourcing Measurement Privacy Data privacy Web services Sensors Homomorphic encryption Protection Mobile computing Edge computing

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High-resolution sample size enrichment of single-cell multi-modal low-throughput Patch-seq datasets

High-resolution sample size enrichment of single-cell multi-...

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2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

作者： Martini, Lorenzo Bardini, Roberta Savino, Alessandro Carlo, Stefano Di Politecnico di Torino Control and Computer Engineering Department Torino10129 Italy

ISBN: (纸本)9781665468190

Single-cell multimodal technologies are becoming the hot topic of single-cell heterogeneity and function studies, promising to unravel the hidden relationship and functionalities of different aspects of the cells. Among the plethora of single-cell technologies, interesting is the patch-seq technology, which simultaneously performs Patch clamp measures and scRNA-seq on the same cells. However, given the experimental limitations of throughput of Patch clamp, the scRNA-seq analysis is challenging because it requires more samples to investigate cellular heterogeneity. Usually, the solution is associating the cells with the cell types in an existing scRNA-seq dataset. However, doing so loses part of the single cell resolution of the multimodal technique. Therefore, this work proposes a procedure leveraging the Seurat Integration process to find from a reference dataset t he most similar cells to the ones from the patch-seq. The similarity is how much gene expression profiles are identical, and to evaluate that, this work defines various etrics based on R and Index. In this way, one obtains a selection of suitable Reference cells to enrich the number of cells on which to perform multimodal investigation. © 2022 IEEE.

关键词： Gene expression

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Fast sparse optimization via adaptive shrinkage

arXiv

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arXiv 2025年

作者： Cerone, Vito Fosson, Sophie M. Regruto, Diego Department of Control and Computer Engineering Politecnico di Torino Italy

The need for fast sparse optimization is emerging, e.g., to deal with large-dimensional data-driven problems and to track time-varying systems. In the framework of linear sparse optimization, the iterative shrinkage-thresholding algorithm is a valuable method to solve Lasso, which is particularly appreciated for its ease of implementation. Nevertheless, it converges slowly. In this paper, we develop a proximal method, based on logarithmic regularization, which turns out to be an iterative shrinkage-thresholding algorithm with adaptive shrinkage hyperparameter. This adaptivity substantially enhances the trajectory of the algorithm, in a way that yields faster convergence, while keeping the simplicity of the original method. Our contribution is twofold: on the one hand, we derive and analyze the proposed algorithm;on the other hand, we validate its fast convergence via numerical experiments and we discuss the performance with respect to state-of-the-art algorithms. © 2025, CC BY-NC-ND.

关键词： Optimization algorithms

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