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检索条件"任意字段=19th International Conference on Control Systems and Computer Science"

共 42758 条记录，以下是111-120 订阅

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17th international conference on Verification and Evaluation of computer and Communication systems, VECoS 2024

17th International Conference on Verification and Evaluation...

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17th international conference on Verification and Evaluation of computer and Communication systems, VECoS 2024

ISBN: (纸本)9783031853555

the proceedings contain 16 papers. the special focus in this conference is on Verification and Evaluation of computer and Communication systems. the topics include: Formal Verification of Declarative Specifications of BPs: DCR2CPN-Based Approach;Toward Green Data Lake Management and Analysis through a CTMC Model;a High Parallelization Method for Automated Formal Verification of Deep Neural Networks;monitoring of Neural Network Classifiers Using Neuron Activation Paths;formal Security Analysis of Deep Neural Network Architecture;MDE in the Era of Generative AI;Intrusion Detection Using an Enhancement Bi-LSTM Recurrent Neural Network Model;a Formal Approach for Verifying and Validating Security Objectives in Software Architecture;supervisory control of Cyber-Physical systems Using Labeled Petri Nets Under Sensor and Actuator Attacks;ERTMS/ETCS L3: Usable Formal Models for the "Loss of Train Integrity" Operation Scenario;towards a Model for Energy-Efficient and Flexible IoT systems;Integrating SysML and Timed Reo to Model and Verify Cyber-Physical systems Interactions with Timing Constraints;a Reliable and Resource-Aware Federated Learning Solution by Decentralizing Client Selection for IoT Devices;DRL Based SFC Orchestration in SDN/NFV Environments Subject to Transient Unavailability.

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Invariant Set Analysis and control Synthesis of Multi-Equilibrium Switched systems under control Constraints 13

Invariant Set Analysis and Control Synthesis of Multi-Equili...

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13th international conference on Intelligent control and Information Processing, ICICIP 2025

作者： Han, Yuejiang Zhang, Lixian Ding, Yihang Dong, Yifei Liang, Ye School of Astronautics Harbin Institute of Technology Harbin China College of Computer and Control Engineering Northeast Forestry University Harbin China

ISBN: (纸本)9798331516147

this paper investigates the problems of invariant set analysis and control synthesis for multi-equilibrium switched systems under control constraints. A control strategy based on the invariant set method is proposed, accompanied by criteria formulated as linear matrix inequalities, ensuring that the state remains within the mode-dependent invariant sets. Furthermore, considering the control constraints in practical scenarios, a multi-equilibrium switched controller with control constraints (MESCC controller) is designed. Compared to existing works, the proposed method incorporates mode-dependent dwell time conditions and mode-dependent invariant sets, thereby offering enhanced design flexibility. An example of an aero-engine control system is presented to demonstrate the effectiveness and potential of the theoretical results. © 2025 IEEE.

关键词： control system synthesis

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Pedestrian-Based Adaptive Traffic Light control Using YOLOv8 24

Pedestrian-Based Adaptive Traffic Light Control Using YOLOv8

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7th international conference on Information science and systems, ICISS 2024

作者： Ortega, Gerson Itliong Ordas, Amiel Mir Odiamar Villaverde, Jocelyn Flores Juanatas, Roben Antalan Juanatas, Irish Castrojeres School of Electrical Electronics and Computer Engineering Mapua University Philippines College of Computing in Information Technologies National University Philippines Department of Information Technology FEU Diliman Philippines

ISBN: (纸本)9798400717567

the advancement of YOLO and similar computer vision models represents a technological era that could revolutionize numerous aspects of day-to-day life, including traffic management. this study explores the feasibility of utilizing YOLOv8 for pedestrian detection and counting to control traffic light timing sequences at isolated pedestrian crossings. By employing the Raspberry Pi 4 Model B with a camera module, real-time pedestrian video data can be captured and processed through YOLOv8. For the hardware, three LEDs and a Dot Matrix Module replicate conventional traffic light signals and timing, effectively simulating a traffic light system. the capabilities of the custom YOLOv8 model are evaluated through pedestrian detection accuracy, calculated by percentage error across twenty samples. Results reveal an average percent error of 7.33%, indicating 92.67% accuracy in pedestrian detection and counting. these findings underscore the model’s competence for pedestrian-based adaptive traffic light control, highlighting its potential to enhance practicality and safety at pedestrian crossings by dynamically adjusting signal timings based on real-time pedestrian activity. © 2024 Copyright held by the owner/author(s).

关键词： Pedestrian safety

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Route Discovery in Private Payment Channel Networks 19th

Route Discovery in Private Payment Channel Networks

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19th international Workshop on Data Privacy Management, DPM 2024, 8th international Workshop on Cryptocurrencies and Blockchain Technology, CBT 2024 and 10th Workshop on the Security of Industrial control systems and of Cyber-Physical systems, CyberICPS 2024 which were held in conjunction with the 29th European Symposium on Research in computer Security, ESORICS 2024

作者： Avarikioti, Zeta Bastankhah, Mahsa Maddah-Ali, Mohammad Ali Pietrzak, Krzysztof Svoboda, Jakub Yeo, Michelle TU Wien Vienna Austria Princeton University Princeton United States University of Minnesota Twin Cities Minneapolis United States Institute of Science and Technology Austria Klosterneuburg Austria National University of Singapore Singapore Singapore

ISBN: (纸本)9783031823480

In this work, we explore route discovery in private payment channel networks. We first determine what "ideal" privacy for a routing protocol means in this setting. We observe that protocols achieving this strong privacy definition exist by leveraging Multi-Party Computation but they are inherently inefficient as they must involve the entire network. We then present protocols with weaker privacy guarantees but much better efficiency (involving only a small fraction of the nodes). the core idea is that both sender and receiver gossip a message which propagates through the network, and the moment any node in the network receives both messages, a path is found. In our first protocol the message is always sent to all neighbouring nodes with a delay proportional to the fees of that edge. In our second protocol the message is only sent to one neighbour chosen randomly with a probability proportional to its degree. We additionally propose a more realistic notion of privacy in order to measure the privacy leakage of our protocols in practice. Our realistic notion of privacy challenges an adversary that join the network with a fixed budget to create channels to guess the sender and receiver of a transaction upon receiving messages from our protocols. Simulations of our protocols on the Lightning network topology (for random transactions and uniform fees) show that 1) forming edges with high degree nodes is a more effective attack strategy for the adversary, 2) there is a tradeoff between the number of nodes involved in our protocols (privacy) and the optimality of the discovered path, and 3) our protocols involve a very small fraction of the network on average. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Differential privacy

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Dynamic Charging on the Go: Optimizing Mobile Charging Stations for Electric Vehicle Infrastructure 11

Dynamic Charging on the Go: Optimizing Mobile Charging Stati...

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11th international conference on Vehicle Technology and Intelligent Transport systems, VEHITS 2025

作者： Jain, Suhas Gupta, Arobinda Dept. of Computer Science & Engineering Indian Institute of Technology WB Kharagpur721302 India

ISBN: (纸本)9789897587450

With the growing adoption of electric vehicles (EVs) as an eco-friendly and sustainable means of transportation, availability of adequate EV charging infrastructure has become very important. While fixed charging stations are the primary means for public charging, they can be effectively augmented by mobile charging stations. In this paper, we address the problem of planning and operating a mobile charging station fleet by an operator. We propose an algorithm for the operator to use for route planning of the MCSs and for scheduling charging requests of EVs to them to try to maximize the number of charging requests served. Detailed simulation results are presented in different realistic scenarios to show that the proposed algorithm works well. Copyright © 2025 by SCITEPRESS - science and Technology Publications, Lda.

关键词： Electric vehicles

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Mitigating the Spread of COVID-19 Misinformation Using Agent-Based Modeling and Delays in Information Diffusion 16th

Mitigating the Spread of COVID-19 Misinformation Using Agent...

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16th international conference on Social Networks Analysis and Mining

作者： Alassad, Mustafa Agarwal, Nitin Univ Arkansas Little Rock COSMOS Res Ctr Little Rock AR 72204 USA

ISBN: (纸本)9783031785375;9783031785382

the rapid spread of COVID-19 misinformation on social media poses challenges in detection and analysis. there has been extensive discussion about the roles of online and offline campaigns in spreading misinformation. Recognizing the analytical gap between online and offline behaviors during the COVID-19 pandemic, we propose a systematic and multidisciplinary approach. this approach utilizes agent-based modeling to interpret the spread of misinformation and the actions of users/communities on social media networks. Our model was tested on a Twitter network concerning a demonstration against COVID-19 lockdowns in Michigan in May 2020. We implemented the one-median problem to categorize and simplify the Twitter network, measured the response time to the spread of misinformation, employed a cybernetic organizational method to manage the process of mitigating misinformation spread in the network, and optimized the allocation of agents to reduce the response time to misinformation spread. the study demonstrates the effectiveness of our proposed approach in delaying information diffusion, thereby mitigating the spread of COVID-19 misinformation on social media.

关键词： systems thinking Organizational Cybernetics Stochastic One-median Problem Misinformation COVID-19 Information Diffusion Delay

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4th international conference on Numerical Computations: theory and Algorithms, NUMTA 2023

4th International Conference on Numerical Computations: Theo...

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4th international conference on Numerical Computations: theory and Algorithms, NUMTA 2023

ISBN: (纸本)9783031812439

the proceedings contain 105 papers. the special focus in this conference is on Numerical Computations: theory and Algorithms. the topics include: Resource Allocation via Bayesian Optimization: an Efficient Alternative to Semi-Bandit Feedback;multi-Objective and Multiple Information Source Optimization for Fair & Green Machine Learning;extended Optimal control Problem for Practical Application;explainable Process Deviance Discovery with Data-Efficient Deep Learning;line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the control of the Variance;a Machine Learning Approach to Speed up the Solution of the Distributor’s Pallet Loading Problem;combined First- and Second-Order Directions for Deep Neural Networks Training;constrained Global Optimization by Smoothing;the Unreasonable Effectiveness of Optimal Transport Distance in the Design of Multi-Objective Evolutionary Optimization Algorithms;an Improved Modified Jaya Optimization Algorithm: Application to the Solution of Nonlinear Equation systems;GPU Acceleration of the Enhanced Jaya Optimization Algorithm for Solving Large systems of Nonlinear Equations;effective Resistance Based Community Detection in Complex Networks;a Comparison of Formulations for Aircraft Deconfliction;optimal Recombination Problem in Genetic Programming for Boolean Functions;heuristics with Local Improvements for Two-Processor Scheduling Problem with Energy Constraint and Parallelization;numerical Analysis of Optimal control of Assets and Liabilities by a Bank;optimal control for Stochastic Multi-agent systems With the Use of Parallel Hybrid Genetic Algorithm;DC Optimization in Adversarial Sparse Support Vector Machine;A First-Order Optimality Condition in Nonsmooth Generalized Semi-infinite Programming (GSIP);miniaturisation of Binary Classifiers through Sparse Neural Networks;Price Forecasting for Bitcoin: Linear Regression and SVM Approaches;inside the Box: 0–1 Linear Programming Under Interval Uncertainty;machine Learn

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4th international conference on Numerical Computations: theory and Algorithms, NUMTA 2023

4th International Conference on Numerical Computations: Theo...

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4th international conference on Numerical Computations: theory and Algorithms, NUMTA 2023

ISBN: (纸本)9783031812408

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4th international conference on Numerical Computations: theory and Algorithms, NUMTA 2023

4th International Conference on Numerical Computations: Theo...

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4th international conference on Numerical Computations: theory and Algorithms, NUMTA 2023

ISBN: (纸本)9783031812460

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Locally Optimal Information Pathways in the Presence of Static Adversaries for a Hierarchical Smart Distribution Grid Model 19th

Locally Optimal Information Pathways in the Presence of S...

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19th international conference on Critical Information Infrastructures Security, CRITIS 2024

作者： Gajić, Nataša Wolthusen, Stephen Dirk Bjørn NTNU Trondheim Norway

ISBN: (纸本)9783031842597

Future smart grids will provide greater flexibility to both users and operators but will also inherently lessen resilience of the grid. this work deals with improving that resilience by looking into topological structure of distribution grids and providing suggestions for the improvement of the structure of the grid. Distribution grid is modeled with a hierarchical, smart, multilayer graph model. that model is then compromised by placing multiple static adversaries in the distribution grid layer of the model and contaminating the graph with their respective areas of influence. To localize the damage such adversaries can deal, a linear optimization problem of finding the shortest and least costly information path from the neighborhood of the compromised area to the top layer in the hierarchical model is presented and solved for, so that relevant information of grid contamination reaches grid operators in a timely manner. After that, suggestions for improving the structure of layers in Information Overlay of the model are presented. Lastly, Optimal Path algorithm is presented, which finds optimal paths in compromised areas and areas that are blocked off or unreliable. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Adversary Models Communication and control Networks Linear Optimization

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