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2023 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2023

作者： Zhou, Linjie Gao, Wei Li, Ge Yuan, Hui Zhao, Tiesong Yue, Guanghui School of Electronic and Computer Engineering Peking University Shenzhen China School of Control Science and Engineering Shandong University Jinan China Fuzhou University Department of Communication Engineering Fuzhou China School of Biomedical Engineering Shenzhen University Shenzhen China

ISBN: (纸本)9798350313154

Light field (LF) super-resolution has achieved remarkable results with the assumption of only downsampling. However, real-world LF scenes contain multiple degradation effects, which makes it difficult for existing methods to deal with hybrid distortions. In this paper, we propose a disentangled feature distillation framework for LF super-resolution with degradations. To reduce the learning difficulty, we propose a feature disentanglement mechanism to split the mixed reconstruction for both super-resolution and denoising into two single task learning processes. We also propose a feature enhancement strategy via knowledge distillation to transfer prior feature of each single reconstruction to our task of mixed reconstruction. Finally, the separate restored representations are fused to reconstruct a clean high-resolution LF. Experiments demonstrate the superior performance of our framework for different scale factors and noise levels. Additionally, our approach can also obtain excellent performance for joint super-resolution and deblurring, showing its gencralization for practical LF super-resolution applications. © 2023 IEEE.

关键词： Distillation

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Lightweight Direct Memory Access on FPGA Using AXI Protocol

Lightweight Direct Memory Access on FPGA Using AXI Protocol

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2023 Congress in computer Science, computer engineering, and Applied Computing, CSCE 2023

作者： Kidwell, Adam Horvath, Matthew P. Hanna, Darrin Jones, Bryant Oakland University Dept. of Electrical and Computer Engineering Rochester HillsMI United States Intrepid Control Systems TroyMI United States

ISBN: (纸本)9798350327595

This paper presents a lightweight AXI DMA controller architecture useful for embedded systems that do not require fully featured DMA controllers. Simulation is accomplished with VUnit, and implementation results are obtained on a Xilinx XC7Z010CLG400-1 FPGA. When compared with Xilinx's AXI DMA controller with the same configuration, the presented controller utilizes between 16 and 82% fewer resources with comparable speed. © 2023 IEEE.

关键词： AXI DMA Embedded Systems FPGA

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Analysis of Electric Field Distribution of Insulators YD-JZ 10 kV Oil-Immersed Transformers 2

Analysis of Electric Field Distribution of Insulators YD-JZ ...

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2022 2nd International Conference on Power System and Energy Internet, PoSEI 2022

作者： Feng, Qi Shao, Zhenhua College of Electrical and Electronic Engineering Wenzhou University Wenzhou China College of Computer and Control Engineering Minjiang University Fuzhou China

The electric field distribution of the YD-JZ 10 kV oil-immersed transformer insulator is analyzed by COMSOL simulation, calculation, and actual measurement methods. The result shows that the first shed of the insulator accounts for 18% of the voltage drop. After that, the voltage of each umbrella skirt decreased gradually, and the proportion of voltage drop of the last two umbrella skirts increased again. The electric field of the insulator tip burr is 1.16 × 106 V/m spherical burr is 2.84 × 105 V/m. The simulation result shows that the maximum electric field of spherical air gap defect in an insulator is 1.38 × 105 V/m conical air gap defect is 1.61 × 105 V/m metal particle defect is 1.49 × 105 V/m. The simulated insulator umbrella skirt is covered with water. When the whole insulator umbrella skirt is short-circuited, there may be ground discharge. The measured results and simulation results show that the insulator can work normally if the umbrella skirt is not completely short-circuited. © 2022 Institute of Physics Publishing. All rights reserved.

关键词： Defects

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Visual Tracking Nonlinear Model Predictive control Method for Autonomous Wind Turbine Inspection 21

Visual Tracking Nonlinear Model Predictive Control Method fo...

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21st International Conference on Advanced Robotics, ICAR 2023

作者： Amer, Abdelhakim Mehndiratta, Mohit Le Fevre Sejersen, Jonas Pham, Huy Xuan Kayacan, Erdal Department of Electrical and Computer Engineering Aarhus C8000 Denmark Gim Robotics Espoo Finland Automatic Control Group Paderborn University Department of Electrical Engineering and Information Technology Paderborn Germany

ISBN: (纸本)9798350342291

Automated visual inspection of on- and off-shorewind turbines using aerial robots provides several benefits, namely, a safe working environment by circumventing the need for workers to be suspended high above the ground, reduced inspection time, preventive maintenance, and access to hard-to-reach areas. A novel nonlinear model predictive control (NMPC) framework alongside a global wind turbine path planner is proposed to achieve distance-optimal coverage for wind turbine inspection. Unlike traditional MPC formulations, visual tracking NMPC (VT-NMPC) is designed to track an inspection surface, instead of a position and heading trajectory, thereby circumventing the need to provide an accurate predefined trajectory for the drone. An additional capability of the proposed VT-NMPC method is that by incorporating inspection requirements as visual tracking costs to minimize, it naturally achieves the inspection task successfully while respecting the physical constraints of the drone. Multiple simulation runs and real-world tests demonstrate the efficiency and efficacy of the proposed automated inspection framework, which outperforms the traditional MPC designs, by providing full coverage of the target wind turbine blades as well as its robustness to changing wind conditions. The implementation codes11https://***/open-airlab/VTNMPC-Autonomous-Wind-Turbine-Inspection are open-sourced. © 2023 IEEE.

关键词： Inspection

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Dynamic Moving Target Defense Strategy Based on Adaptive Port Hopping in SDN

Dynamic Moving Target Defense Strategy Based on Adaptive Por...

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2023 International Conference on computer Network Security and Software engineering, CNSSE 2023

作者： Dang, Fangfang Wu, Kehe Li, Shuai Liu, Han Song, Yifan Zhang, Xiaoliang The State Grid Henan Information & Communication Company China School of Control and Computer Engineering North China Electric Power University Beijing102206 China

ISBN: (数字)9781510666528

ISBN: (纸本)9781510666511

Distributed Denial of Service (DDoS) is a huge hazard to software-defined networks (SDN). Active defense technology is one of the effective measures to ensure the security of SDN. Active defense can increase the difficulty of the attacker's attack and reduce the probability of being attacked successfully. However, the active defense method based on port hopping has the problems of fixed hopping strategy, lack of flexibility and poor security (for example, it is easy for an attacker to grasp the law of server port hopping). Aiming at these problems, we proposed a dynamic moving target defense method based on adaptive port hopping (DMTD-APH). The DMTD-APH combines the characteristics of SDN on the basis of port hopping, and improves the flexibility of active defense by designing strategies such as hopping synchronization, hopping and forwarding, and adaptive hopping. At the same time, the DMTD-APH dynamically detects the network status through the source address entropy value and data flow rate method, and performs time-adaptive or space-adaptive hopping adjustments to ports according to the detection results to build an adaptive active network defense model. The experimental results show that DMTD-APH enhances the anti-attack and service type of the network, and has stronger dynamics and security. © 2023 SPIE.

关键词： Network security

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Multi-layer network modelling of genomic and transcriptomic data to investigate the response to checkpoint inhibitors in NSCLC

Multi-layer network modelling of genomic and transcriptomic ...

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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Mascolo, Davide Farina, Lorenzo Petti, Manuela Sapienza University of Rome Program in Data Science Rome Italy Sapienza University of Rome Dept. of Computer Control and Management Engineering Rome Italy

ISBN: (纸本)9798350337488

Recent innovations and developments in molecular biology and biotechnology have made it possible to acquire and store large omics datasets. In particular genomics, transcriptomics and the study of their relationship represent the key elements to understand how genotype influences phenotype. In this work we investigate the potential of multi-layer network modeling in integrating genomic and transcriptomic data of 152 advanced non-small cell lung cancer (NSCLC) patients treated with anti-PD-(L)1 therapy. For the transcriptomic layer, we performed differential expression and differential co-expression analyses in order to identify a subset of key genes in differentiating responder patients from non-responders. Adding to the genomic-transcriptomic model other three layers related to immune, myeloid and curated immunotherapy-based literature signatures we obtained a 5-layer Patient Similarity Network. The application of Similarity Network Fusion algorithm revealed a statistically significant stratification of patients (p-value ≤ 0.05) which allows the identification of two clusters characterized by patients responding and not responding to immunotherapy. © 2023 IEEE.

关键词： immunotherapy multi-layer network Network-based omics integration non-small cell lung cancer patient Stratification

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Leveraging Data Fitting and Trust Assessment to Improve the Security of Industrial Networks

Leveraging Data Fitting and Trust Assessment to Improve the ...

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第43届中国控制会议

作者： Heng Zhang Yinchu Wang Yawen Xue Ruilong Deng Hongran Li Jian Zhang School of Computer Engineering Jiangsu Ocean University College of Control Science and Engineering Zhejiang University

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

Industrial network control systems(INCSs) are easy to be targeted by attackers due to their high economic *** of the existing defense methods are deployed at the network boundary,which causes high-security risks to INCS once an attacker enters the *** addition,many existing intrusion detection systems(IDSs) build detection models based on historical *** INCS lacks sufficient historical data,it is difficult to build detection models with high *** this paper,we propose a trust assessment model for INCS based on Fourier series fitting employing concept of zero trust to assess the real-time trust of *** model alerts when INCS has low *** test two data injection attacks in the experiment to prove the effectiveness of our approach.

关键词： Zero Trust Fourier Series Curve Fitting Sliding Window Industrial control System

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Comparison of Different Gaussian Process Models and Applications in Model Predictive control 23

Comparison of Different Gaussian Process Models and Applicat...

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23rd International Conference on control, Automation and Systems, ICCAS 2023

作者： Diepers, Florian Polke, Dominik Ahle, Elmar Softker, Dirk University of Applied Sciences Niederrhein Faculty of Electrical Engineering and Computer Science Krefeld Germany University of Duisburg-Essen Chair of Dynamics and Control Duisburg Germany

ISBN: (纸本)9788993215274

Most advanced control methods require a sufficiently accurate model of the system to be controlled. These models are becoming increasingly difficult to generate due to the increasing complexity of the underlying systems. To address this problem, data-driven models can be used. These kind of models are trained based on data of the dynamic system. They can be used for controller design and also be applied directly to control the system. In this work, a stochastic model predictive controller (SMPC) with a Gaussian process model (GP) is utilized. The main advantage of GPs is the construction of a dynamic system model with the possibility of determining the uncertainty of its own prediction. In this contribution, three different utilizations of prediction uncertainty in SMPC are compared. Additionally, two different implementations of dynamic GPs, nonlinear autoregressive exogenous GPs (GP-NARX) and a state-space model based on GPs (GP-SSM), are considered. All six test cases are compared based on an evaluation criterion that describes the resulting control performance. A simulated inverted pendulum, a benchmark for nonlinear and unstable systems, is used as test system. In this work, the combinations of different dynamic GPs and the application of their uncertainty prediction in SMPC are evaluated and compared. © 2023 ICROS.

关键词： Stochastic models

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Optimization of BLE Broadcast Mode in Offline Finding Network

arXiv

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arXiv 2025年

作者： Zhang, Li Feng, Cheng Xia, Tian School of Computer and Control Engineering Northeast Forestry University China School of Measurement-control Technology and Communications Engineering Harbin University of Science and Technology China

In the Offline Finding Network(OFN), offline Bluetooth tags broadcast to the surrounding area, the finder devices receiving the broadcast signal and upload location information to the IoT(Internet of Things) cloud servers, thereby achieving offline finding of lost items. This process is essentially a Bluetooth low energy (BLE) neighbor discovery process(NDP). In the process, the variety of Bluetooth scan modes caused by the scan interval and scan window settings affects the discovery latency of finder devices finding the tag broadcast packets. To optimize the experience of searching for lost devices, we propose the CPBIS-mechanism, a certain proportion broadcast-intervals screening mechanism that calculates the most suitable two broadcast intervals and their proportion for offline tags. This reduces discovery latency in the BLE NDP, improves the discovery success rate, further enhances the user experience. To our knowledge, we are the first to propose a comprehensive solution for configuring the broadcast interval parameters of advertisers in BLE NDP, particularly for configurations involving two or more broadcast intervals. We evaluated the results obtained by CPBIS on the nRF52832 chip. The data shows that the CPBIS-mechanism achieves relatively low discovery latencies for multiple scan modes. © 2025, CC BY.

关键词： Bluetooth

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A Novel Real-Time Redundant System For Aiding Drivers To Increase Their Attention Level 9

A Novel Real-Time Redundant System For Aiding Drivers To Inc...

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9th IEEE Smart World Congress, SWC 2023

作者： Sini, Jacopo Pugliese, Luigi D'Agostino, Pietro Violante, Massimo Groppo, Riccardo Politecnico di Torino Dept. of Control and Computer Engineering Turin Italy Sleep Advice Technologies S.r.l Turin Italy

ISBN: (纸本)9798350319804

Road accidents are a major concern worldwide. Research of technological solutions to improve road safety is an open topic, considering this issue from various perspectives. As widely reported in the literature, driver distraction is one of the most common causes of collisions. Even if vehicles are becoming safer and safer over the years, pedestrians and cyclists are still exposed to severe accidents. Major concerns about driver distraction is mobile phone use and drowsy driving. This paper proposes a virtual buddy designed to help drivers, thanks to warning sound messages, improve their attention level. The main idea is to recognize, thanks to different sources (video camera, physiological data, and interior environmental conditions) interpreted by a data-fusion algorithm, whenever there is a distracted or drowsy behavior, recalling the driver to the road. The effectiveness of the data-fusion algorithm in detecting dangerous conditions has been verified thanks to a driving simulator experimentally, obtaining no false negatives from distraction from drowsiness, a sensitivity of about 85% for the distraction caused by mobile phone usage or other activities different from focusing on driving. © 2023 IEEE.

关键词： Camera-based systems Image processing Neural Networks Physiological data Safety Sleep Vehicle Driving

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