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SSRN 2023年

作者： Flaborea, Alessandro D’Amely di Melendugno, Guido Maria D’Arrigo, Stefano Sterpa, Marco Aurelio Sampieri, Alessio Galasso, Fabio Department of Computer Science Sapienza University of Rome Italy Department of Computer Control and Management Engineering Sapienza University of Rome Italy Department of Earth Sciences and Forecasting Research Center Prevention and Control of Geological Risks

Detecting the anomaly of human behavior is paramount to timely recognizing endangering situations, such as street fights or elderly falls. However, anomaly detection is complex, since anomalous events are rare and because it is an open set recognition task, i.e., what is anomalous at inference has not been observed at training. We propose COSKAD, a novel model which encodes skeletal human motion by an efficient graph convolutional network and learns to COntract SKeletal kinematic embeddings onto a latent hypersphere of minimum volume for Anomaly Detection. We propose and analyze three latent space designs for COSKAD: the commonly-adopted Euclidean, and the new spherical-radial and hyperbolic volumes. All three variants outperform the state-of-the-art, including video-based techniques, on the ShangaiTechCampus, the Avenue, and on the most recent UBnormal dataset, for which we contribute novel skeleton annotations and the selection of human-related *** source code and dataset will be released upon acceptance. © 2023, The Authors. All rights reserved.

关键词： Kinematics

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Editorial:Special Topic on Federated Learning for IoT and Edge Computing

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ZTE Communications 2022年第3期20卷 1-2页

作者： PAN Yi CUI Laizhong CAI Zhipeng LI Wei Faculty of Computer Science and Control Engineering at Shenzhen Institute of Advanced Technology Chinese Academy of SciencesChina the Academy of the United Nations Sciences and Technology Organization Ukrainian Academy of Engineering Sciences American Institute for Medical and Biological Engineering Institute of Engineering Technology the College of Computer Science and Software Engineering at Shenzhen University China Department of Computer Science and the College of Business at Georgia State University USA the Center for Distributed and High Performance Computing School of Computer ScienceThe University of Sydney the Australia-China Joint Research Center on Energy Informatics and Demand Response Technologies

Recent years have witnessed the proliferation of Internet of Things(IoT),in which billions of devices are connected to the Internet,generating an overwhelming amount of *** is challenging and infeasible to transfer an... 详细信息

关键词： cloud generating data.

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Privacy-protected object detection through trustworthy image fusion

Privacy-protected object detection through trustworthy image...

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作者： Zhang, Chao Zhang, Jinmei Yun, Lijun Zhang, Jun Su, Junbo Yunnan Key Laboratory of Optoelectronic Information Technology Yunnan Normal University Kunming China School of Physics and Electronic Information Yunnan Normal University Kunming China Engineering Research Center of Computer Vision and Intelligent Control Technology Department of Education of Yunnan Province Yunnan Normal University Kunming China Kunming Institute of Physics Ordnance Science and Research Academy of China Kunming China

The neural network-based technologies have emerged as a potent method for image fusion, object detection, and other computer vision tasks as the rapid development of deep learning. Multi-band infrared images, in particular, capture a more extensive range of radiation details and information compared to conventional single-band infrared images. Consequently, the fusion of multi-band infrared images can provide more features for object detection. However, it is crucial to consider that infrared images may contain sensitive information, potentially leading to privacy concerns. Ensuring datasets privacy protection plays a crucial role in the fusion and tracking process. To address both the need for improved detection performance and the necessity for privacy protection in the infrared environment, we proposed a procedure for object detection based on multi-band infrared image datasets and utilized the transfer learning technique to migrate knowledge learned from external infrared data to internal infrared data, thereby training the infrared image fusion model and detection model. The procedure consists of several steps: (1) data preprocessing of multi-band infrared images, (2) multi-band infrared image fusion, and (3) object detection. Standard evaluation metrics for image fusion and object detection ensure the authenticity of the experiments. The comprehensive validation experiments demonstrate the effectiveness of the proposed procedure in object detection tasks. Furthermore, the transfer learning can train our datasets and update the model without exposing the original data. This aspect of transfer learning is particularly beneficial for maintaining the privacy of multi-band infrared images during the fusion and detection processes. © 2024 John Wiley & Sons Ltd.

关键词： Object detection

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Perimeter Defense using a Turret with Finite Range and Service Times

arXiv

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arXiv 2023年

作者： Bajaj, Shivam Bopardikar, Shaunak D. Moll, Alexander Von Torng, Eric Casbeer, David W. Department of Electrical and Computer Engineering Michigan State University United States Department of Computer Science and Engineering Michigan State University United States Control Science Center Air Force Research Laboratory United States

We consider a perimeter defense problem in a planar conical environment comprising a single turret that has a finite range and non-zero service time. The turret seeks to defend a concentric perimeter against N ≥ 2 intruders. Upon release, each intruder moves radially towards the perimeter with a fixed speed. To capture an intruder, the turret’s angle must be aligned with that of the intruder’s angle and must spend a specified service time at that orientation. We address offline and online versions of this optimization problem. Specifically, in the offline version, we establish that in general parameter regimes, this problem is equivalent to solving a Travelling Repairperson Problem with Time Windows (TRP-TW). We then identify specific parameter regimes in which there is a polynomial time algorithm that maximizes the number of intruders captured. In the online version, we present a competitive analysis technique in which we establish a fundamental guarantee on the existence of at best (N − 1)-competitive algorithms. We also design two online algorithms that are provably 1 and 2-competitive in specific parameter regimes. © 2023, CC BY-NC-SA.

关键词： Polynomial approximation

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An Improved Recurrent Neural Network for Industrial control System Identification

An Improved Recurrent Neural Network for Industrial Control ...

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2022 International Conference on Electrical, control and Information Technology, ECITech 2022

作者： Sun, Yu Qiu, Shirong Tian, Bin Ji, Lianen Beijing Engineering Research Center of Power Station Automation CHN Energy Zhishen Control Technology Co. Ltd Beijing China Department of Computer Science and Technology China University of Petroleum Beijing China

ISBN: (纸本)9783800759170

The rapid development of industrial automation makes the control process more and more demanding for the accuracy of system identification. Finding an effective identification model for regulating and controlling the time-critical and nonlinear process remains a difficult problem. Therefore, this paper proposes an improved recurrent neural network for industrial control system identification, called SI-RNNs, to solve the problem of insufficient prediction accuracy of the traditional RNNs in the initial time steps. SI-RNNs adds the state initialization process to determine the initial operational state of the control systems and selects the optimal state initialization steps length by perturbating feature values approach. In practical cases, it is verified that our method can effectively improve the solution accuracy of the model for industrial control process, especially in the gated recurrent neural networks capable of long-term memory. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Recurrent neural networks

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Improved Particle Swarm Optimization Algorithm for EIT Image Reconstruction 20

Improved Particle Swarm Optimization Algorithm for EIT Image...

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20th International Multi-Conference on Systems, Signals and Devices, SSD 2023

作者： Kahouli, Oumayma Hafsa, Mariem Hellara, Hiba Bennour, Imed Eddine Essoukri Ben Amarax, Najoua Kanoun, Olfa University of Sousse National Engineering School of Sousse Department of Computer Science Sousse4023 Tunisia National Engineering School of Sousse Laboratory of Advanced Technology and Intelligent Systems Tunisia Technische Universität Chemnitz Laboratory of Measurement and Sensor Technology Chemnitz Germany University of Sfax Laboratory of Signals Systems Artificial Intelligence and Networks Digital Research Center of Sfax Tunisia

ISBN: (纸本)9798350332568

Electrical Impedance Tomography (EIT) is a clinical imaging technique that gained a lot of attention because it is a non-invasive and radiation-free method. To obtain an inner image of the domain under study, a specific number of electrodes is attached to the surface of the object, then through a pair of electrodes, a low alternative current is injected. Potentials produced by this injection are measured with the remaining electrodes. Based on these boundary voltages measurements, the inner conductivity can be inferred, thus the image is reconstructed. The focus of this paper is to overcome the major weakness of the EIT image reconstruction technique, which is the low spatial resolution of the reconstructed images caused by the non-linearity of EIT inverse problem. This paper considers this problem, an optimization problem that is solved using the Particle Swarm Optimization (PSO) meta-heuristic. A variant of the standard PSO is proposed and validated, first on a circular mesh composed of 686 triangles then on a lung mesh composed of 2707 triangles. © 2023 IEEE.

关键词： Electrodes

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Energy efficient resource allocation and trajectory optimization in UAV-assisted mobile edge computing system 7

Energy efficient resource allocation and trajectory optimiza...

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7th International Conference on Big Data Computing and Communications, BigCom 2021

作者： Chen, Shuaibing Shi, Lei Ding, Xu Lv, Zengwei Li, Zhehao HeFei University of Technology School of Computer Science and Information Engineering Hefei230009 China Engineering Research Center of Safety Critical Industrial Measurement and Control Technology Ministry of Education Hefei230009 China

ISBN: (纸本)9781665442527

Mobile edge computing(MEC) has been considered as a promising technology with the ever-increasing computation demands, which offloads computation-intensive tasks to MEC servers to meet the low latency and high bandwidth requirements of the tasks. But considering the dynamic UEs, nonuniform distribution of task requests and the limitation of the dynamic of the fixed deployment of the edge severs, we investigate a Unmanned Aerial Vehicles (UAVs)-assisted edge computing system in this paper, where each UAV is equipped with server to assist local edge servers. Utilizing the mobility of UAVs provides flexible edge computing services. In this model, tasks are executed on the local edge server first. When the computing resources of the local edge server cannot meet the computational requirements of the task, the system will dispatch the UAVs. Task will be offloaded to UAV for execution. Considering that the endurance of UAVs is a tough problem under the current technical level. Our aim is to minimize the energy consumption of UAVs under the premise of satisfying the UEs demands as much as possible to achieve a higher resource utilization rate. We propose Tasks Offloading Policy Algorithm(TOPA) and Online UAVs Dispatching Base on the Shortest Distant Algorithm(ODSH). Simulation results show the effectiveness of the proposed of algorithms. © 2021 IEEE.

关键词： Energy utilization

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An Efficient Impersonation Attack Detection Method in Fog Computing

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computers, Materials & Continua 2021年第7期68卷 267-281页

作者： Jialin Wan Muhammad Waqas Shanshan Tu Syed Mudassir Hussain Ahsan Shah Sadaqat Ur Rehman Muhammad Hanif Engineering Research Center of Intelligent Perception and Autonomous Control Faculty of Information TechnologyBeijing University of TechnologyBeijing100124China Faculty of Computer Science and Engineering Ghulam Ishaq Khan Institute of Engineering Sciences and TechnologyTopi23460Pakistan Department of Electronics Engineering FICTBalochistan University of Information TechnologyEngineering and Management SciencesQuetta87300Pakistan Department of Computer Science Namal InstituteMianwali42200Pakistan

Fog computing paradigm extends computing,communication,storage,and network resources to the network’s *** the fog layer is located between cloud and end-users,it can provide more convenience and timely services to ***,in fog computing(FC),attackers can behave as real fog nodes or end-users to provide malicious services in the *** attacker acts as an impersonator to impersonate other legitimate ***,in this work,we present a detection technique to secure the FC ***,we model a physical layer key generation based on wireless channel *** generate the secret keys between the legitimate users and avoid impersonators,we then consider a Double Sarsa technique to identify the impersonators at the receiver *** compare our proposed Double Sarsa technique with the other two methods to validate our work,i.e.,Sarsa and *** simulation results demonstrate that the method based on Double Sarsa outperforms Sarsa and Q-learning approaches in terms of false alarm rate(FAR),miss detection rate(MDR),and average error rate(AER).

关键词： Fog computing double Sarsa attack detection physical layer key security

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Universal Recurrent Traffic Flow Model for Urban Traffic Simulation

Universal Recurrent Traffic Flow Model for Urban Traffic Sim...

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2021 International Conference of Technology, science and Administration, ICTSA 2021

作者： Sofronova, Elena Alnowaini, Ghazi Russian Academy of Sciences Department of Robotics Control Federal Research Center Computer Science and Control of Moscow Russia Taiz University Department of Mechatronic Engineering Taiz Yemen

ISBN: (纸本)9781665428620

This paper presents a universal recurrent traffic flow model designed to simulate traffic flows and solve the problem of finding the optimal durations of traffic light phases. The model belongs to the class of microscopic and is based on the theory of controlled networks. The road network is presented as a configurable graph. The nodes of the graph are the road sections, and the edges are the maneuvers between the sections. The graph configuration is changed by turning the graph edges on or off, which corresponds to the permission or prohibition of certain maneuvers. Traffic flows are controlled by traffic lights at regulated intersections. To apply this model it is assumed that the information about the parameters of flows and the road network is available. The description of the model, its properties, and a methodological example of calculation are given. © 2021 IEEE.

关键词： Roads and streets

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Dubins Vehicle Intercept of a Brownian Target on a Sphere

Dubins Vehicle Intercept of a Brownian Target on a Sphere

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IEEE Conference on Decision and control

作者： Dejan Milutinović David W. Casbeer Department of Electrical and Computer Engineering University of California Santa Cruz CA USA Control Science Center Air Force Research Laboratory Wright-Patterson AFB OH USA

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

This paper focuses on a navigation of a Dubins vehicle (DV) to intercept a moving target on a sphere. The uncertainty in the target motion is described by a Brownian motion model. An Itô-type stochastic differential equation for the relative motion between DV and the Brownian moving target is derived. This stochastic differential equation is used to formulate an intercept controller as a minimum time optimal controller. The properties of the controller are incorporated into the numerical computations of the controller, which by its construction can intercept a Brownian target. Our numerical simulation results show that the computed controller can intercept both stationary and moving targets on the sphere.

关键词： Space vehicles Uncertainty Planets Space debris Stochastic processes Optimal control Differential equations Satellite navigation systems Numerical simulation Numerical models

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