检索结果-内蒙古大学图书馆

2024 IEEE International performance, Computing, and Communications conference, IPCCC 2024

作者： Laidig, Robin Herrmann, Jona Augustat, David Durr, Frank Rothermel, Kurt University of Stuttgart IPVS Stuttgart Germany

ISBN: (纸本)9798350367942

Since network delays can severely impact networked control systems (NCS), both guaranteed Quality of Service (QoS) at the network level and guaranteed stability at the application level in the presence of delays are essential. The recently developed Dynamic Priority Token Bucket (DPTB) aims to meet network-level requirements through dynamic yet deterministic latency bounds that depend on the application's sending *** concept provides great potential for a combined design method with NCS controllers, which we propose in this paper. We design and implement two approaches that combine DPTB with (1) the well-known robust input/output (DPTB-RobustIO) controller to provide provable stability and (2) a novel multi-level linear quadratic regulator (DPTB-MLQR) to improve control *** the evaluation of the approaches, an Ethernet-based NCS with a Linux software switch and an inverted pendulum is used. This benchmark setup for fully automated evaluations of co-designs that combine network scheduling and QoS mechanisms with NCS controllers running on real hardware components is made available as an open source implementation. DPTB-RobustIO and DPTB-MLQR reduced the data rate by up to 26% and increased the control performance by 27% compared to regular token buckets with RobustIO control. © 2024 IEEE.

关键词： Pendulums

来源：评论

学校读者我要写书评

暂无评论

Learning Optimal Antenna Tilt control Policies: A Contextual Linear Bandits Approach

引用

IEEE TRANSACTIONS ON MOBILE COMPUTING 2024年第12期23卷 12666-12679页

作者： Vannella, Filippo Proutiere, Alexandre Jedra, Yassir Jeong, Jaeseong Ericsson Res S-16483 Stockholm Sweden KTH Royal Inst Technol Div Decis & Control Syst S-11428 Stockholm Sweden MIT Lab Informat & Decis Syst Cambridge MA 02139 USA

controlling antenna tilts in cellular networks is critical to achieve a good trade-off between network coverage and capacity. We devise algorithms learning optimal tilt control policies from existing data (passive learning setting) or from data actively generated by the algorithms (active learning setting). We formalize the design of such algorithms as a Best Policy Identification problem in Contextual Linear Bandits (CLB). In CLB, an action represents an antenna tilt update;the context captures current network conditions;the reward corresponds to an improvement of performance, mixing coverage and capacity. The objective is to identify an approximately optimal policy (a function mapping the context to an action with maximal reward). For both active and passive learning, we derive information-theoretical lower bounds on the number of samples required by any algorithm returning an approximately optimal policy with a given level of certainty, and devise algorithms achieving these fundamental limits. We apply our algorithms to the Remote Electrical Tilt optimization problem in cellular networks, and show that they can produce optimal tilt update policy using much fewer data samples than naive or existing rule-based learning algorithms. This paper is an extension of work presented at IEEE International conference on Computer Communications (INFOCOM) 2022 (Vannella et al. 2022).

关键词： Antennas Optimization Approximation algorithms Interference Mobile computing control systems Context modeling Antenna tilt optimization coverage capacity optimization best policy identification contextual linear bandits

来源：评论

学校读者我要写书评

暂无评论

A Secure and Efficient Access control Mechanism for network Slice Resources in Distributed Environment 1

引用

13th International conference on Computer Engineering and networks (CENet)

作者： Zhang, Guoyi Zhu, Hailong Luo, Huihong Cao, Yang Hu, Feifei Lin, Xubin Power Control Ctr China Southern Power Grid Guangzhou 510623 Peoples R China

ISBN: (数字)9789819992478

ISBN: (纸本)9789819992492;9789819992478;9789819992461

In order to solve the problem of low security in transactions between multi service providers and multi bottom network providers, this paper proposes a secure and efficient network slice resource access control mechanism in a distributed environment. First, a secure and efficient network slice resource access control architecture in distributed environment is designed. The framework consists of multiple domains. The roles of each domain include multiple service providers, multiple underlying network providers, authentication servers, and resource use license servers. The overall mechanism of secure and efficient network slice resource access control in a distributed environment includes six steps: the service provider applies for identity authentication to the authentication server, the service provider applies for resources to the resource use license server, the resource use license server returns the list of underlying network providers to the service provider, the underlying network provider allocates resources to the service provider, the service provider applies for resources from a resource use license server outside the domain, and the resource use license server outside the domain returns a remote list of underlying network providers to the service provider. Finally, the mechanism in this paper has good performance.

关键词： network virtualization Distributed environment Access control Data security

来源：评论

学校读者我要写书评

暂无评论

An Innovative control Approach for Cyber-Physical Transportation systems: The Case of Monte-Carlo Workflow Computations 32

An Innovative Control Approach for Cyber-Physical Transporta...

引用

32nd Euromicro International conference on Parallel, Distributed and network-Based Processing (PDP)

作者： Kashansky, Vladislav Kashani, Sara Agha Hossein Garcia-Blas, Javier Marozzo, Fabrizio Hai Zhuge Sun, Xiaoping Eteronix GmbH Res Lab Vienna Austria Johannes Kepler Univ Linz Inst Prod & Logist Management Sch Business Linz Austria Univ Carlos III Madrid ARCOS Grp Leganes Spain Univ Calabria DIMES Dept Arcavacata Di Rende Italy Inst Comp Technol ICTCAS Key Lab Intelligent Informat Proc Beijing Peoples R China

ISBN: (纸本)9798350363074;9798350363081

Contemporarily, in light of the intelligent transportation systems (ITS) sector, the tendency can be observed that the solution of the multi-objective cyber-physical optimization problems with imperfect information takes an increasingly weighted role. In the present scientific work, the authors want to take these developments into account by introducing an innovative cyber-physical architectural design and corresponding the two-stage heuristic computing approach. It is utilized in synergy with the MCSA1 and DCEx architectural principles for the workflow scheduling of Monte-Carlo simulation, which is based on the intelligent and sustainable route-order dispatching process model. Factors such as emissions, transport costs, risks, and the individual weighting of orders are reflected in the model. In particular, the authors define a stochastic ILP-based2 monte-carlo workflow model. They further propose two-stage scheduling heuristic with d-HEFT DAG relaxation as first stage and apply state-of-the-art techniques as a part of SCIP framework to solve 2nd 1-0 ILP-based stage;evaluate the performance of the scheduling approach. The authors obtain preliminary results of the second stage behavior using a realistic heterogeneous computing scenario and corresponding constraint structures within MACS simulator engine3. The results from the experiments illustrate moderate complexity of the approach. Scalability of the model looks promising for the applicability in various industry-related scenarios and corresponding computing environments.

关键词： Cyber-Physical Transportation systems Monte-Carlo Workflows Scheduling Discrete Optimization Sustainable Transportation Dispatching systems

来源：评论

学校读者我要写书评

暂无评论

Degradation-aware deep unfolding network with transformer prior for video compressive imaging

引用

SIGNAL PROCESSING 2025年 227卷

作者： Yin, Jianfu Wang, Nan Hu, Binliang Wang, Yao Wang, Quan Chinese Acad Sci Xian Inst Opt & Precis Mech Xian 710119 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China Key Lab Biomed Spect Xian Xian 710119 Peoples R China Hainan Normal Univ Sch Informat Sci & Technol Haikou 571158 Peoples R China Xi An Jiao Tong Univ Ctr Intelligent Decis Making & Machine Learning Xian 7100499 Peoples R China

In video snapshot compressive imaging (SCI) systems, video reconstruction methods are used to recover spatial- temporal-correlated video frame signals from a compressed measurement. While unfolding methods have demonstrated promising performance, they encounter two challenges: (1) They lack the ability to estimate degradation patterns and the degree of ill-posedness from video SCI, which hampers guiding and supervising the iterative learning process. (2) The prevailing reliance on 3D-CNNs in these methods limits their capacity to capture long-range dependencies. To address these concerns, this paper introduces the Degradation-Aware Deep Unfolding network (DADUN). DADUN leverages estimated priors from compressed frames and the physical mask to guide and control each iteration. We also develop a novel Bidirectional Propagation Convolutional Recurrent Neural network (BiP-CRNN) that simultaneously captures both intra-frame contents and inter-frame dependencies. By plugging BiP-CRNN into DADUN, we establish a novel end-to-end (E2E) and data-dependent deep unfolding method, DADUN with transformer prior (TP), for video sequence reconstruction. Experimental results on various video sequences show the effectiveness of our proposed approach, which is also robust to random masks and has wide generalization bounds.

关键词： Snapshot compressive imaging Deep unfolding Convolutional recurrent neural network Vision-transformer

来源：评论

学校读者我要写书评

暂无评论

Attention Guided Deep Neural network for Inspection of Surface Defects on Steel Products 24

Attention Guided Deep Neural Network for Inspection of Surfa...

引用

24th International conference on control, Automation and systems

作者： Jeong, Seyoung Song, Jimin Lee, Sang Jun Jeonbuk Natl Univ Div Elect Engn Jeonju 54896 South Korea

ISBN: (纸本)9798331517939;9788993215380

Recent advancements in deep learning, particularly in semantic segmentation, have achieved notable success in various industrial applications. However, the characteristics of images vary between applications, presenting distinct challenges. In the case of steel images, environmental factors during acquisition significantly affect their appearance, and the random occurrence of defects complicates their generalization, making defect segmentation for surface inspection particularly challenging. This paper introduces TAG-Net, a novel attention-based semantic segmentation network aimed at improving the distinction between background and defects in challenging input images. TAG-Net estimates three attention maps for the background, defects, and their boundaries, with boundary detection included as an auxiliary task to enhance the guidance of the attention maps. Experiments on the NEU-Seg dataset demonstrate that our proposed method significantly outperforms traditional baseline approaches for general images and recent approaches for steel images, yielding superior segmentation performance.

关键词： Steel manufacturing Surface defect identification Semantic segmentation Boundary segmentation Attention mechanisms

来源：评论

学校读者我要写书评

暂无评论

3rd International conference on Communication, control, and Intelligent systems, CCIS 2024

3rd International Conference on Communication, Control, and ...

引用

3rd International conference on Communication, control, and Intelligent systems, CCIS 2024

ISBN: (纸本)9798331528201

The proceedings contain 175 papers. The topics discussed include: an optimized inverse neural network control augmented with feedback PI controller for time-varying systems;image encryption using neural network based chaotic systems;investigating the impact of update frequency on PID controller performance in autonomous robotics;deep learning framework for constellation signal classification in underwater optical wireless communication systems;fuzzy based web automation for smart power supply controller;ensembled machine learning models for antenna optimization in wireless communication/ biomedical applications;vertically integrated substrate integrated cavity based filtering antenna;network intrusion detection system using autoencoders;and a comparative study of Wallace tree multiplier and binary multiplier performance.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Quadrotor control Design with Spiking Neural networks 24

Quadrotor Control Design with Spiking Neural Networks

引用

24th International conference on control, Automation and systems

作者： Kim, Donghyeong Lee, Changhyeon Han, Soohee POSTECH Pohang Univ Sci & Technol Dept Elect Engn Pohang 37673 South Korea POSTECH Pohang Univ Sci & Technol Dept Elect Engn & Convergence IT Engn Pohang 37673 South Korea

ISBN: (纸本)9798331517939;9788993215380

This study investigates the potential of spiking neural networks (SNNs) as a bio-inspired alternative to traditional Proportional (P) controllers in quadrotor simulations. A quadrotor model was developed and its performance validated through integration with SNNs, demonstrating the system's feasibility. The dataset for training the SNN was generated by applying the P controller to random states. The network fundamentally adopts a Convolutional Neural network structure but is uniquely modified to include spike current encoding and separated decoding, enhancing its processing capabilities. To address the inherent non-differentiable nature of SNNs, a surrogate gradient method was employed to facilitate effective backpropagation. The optimized SNN exhibited promising results, achieving an average loss of 0.251 and effectively managing to reposition the quadrotor to its original point. This study not only showcases the capabilities of SNNs in simulating and controlling flight dynamics but also paves the way for further research into their application in advanced control systems.

关键词： Spiking Neural networks(SNN) Bio-inspired Quadrotor Simulation control Supervised Learning Surrogate Gradient

来源：评论

学校读者我要写书评

暂无评论

Lightweight Neural network for Highway Toll Vehicle Classification 36

Lightweight Neural Network for Highway Toll Vehicle Classifi...

引用

36th Chinese control and Decision conference (CCDC)

作者： Yang Jingkai Liu Weiyu ChangAn Univ Sch Elect & Control Engn Xian Shaanxi Peoples R China

ISBN: (数字)9798350387780

ISBN: (纸本)9798350387780;9798350387797

With the continuous development of computer vision technology, transportation systems are gradually approaching intelligence. This article proposes a lightweight neural network for highway toll vehicle classification, which can replace manual judgment of toll vehicle types. It is compared and validated with other object detection algorithms on the Beijing Hong Kong Macao Expressway dataset. The results show that the method proposed in this article has higher real-time performance and accuracy.

关键词： Freeway Deep Learning Image Recognition Vehicle Classification

来源：评论

学校读者我要写书评

暂无评论

In-network Encryption for Secure Industrial control systems Communications 10

In-Network Encryption for Secure Industrial Control Systems ...

引用

10th International conference on network Softwarization (NetSoft)

作者： Rinieri, Lorenzo Iacobelli, Antonio Al Sadi, Amir Melis, Andrea Callegati, Franco Prandini, Marco Univ Bologna Dept Comp Sci & Engn Bologna Italy

ISBN: (纸本)9798350369588;9798350369595

In this manuscript, we present a solution to provide secure communication in Industry 4.0 environments. Legacy ICS components that do not have encryption capabilities will be able to communicate using secured channels by means of P4 programmable switches that implement security in the data plane. We will compare the proposed solution with TLS end-to-end encryption, showing that it offers similar performance with no need to interact with the end hosts.

关键词： Industrial Security Modbus P4 In-network SDN

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：