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检索条件"任意字段=19th International Conference on Control Systems and Computer Science, CSCS 2013"

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Proceedings - 19th international conference on control systems and computer science, cscs 2013

Proceedings - 19th International Conference on Control Syste...

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19th international conference on control systems and computer science, cscs 2013

the proceedings contain 97 papers. the topics discussed include: engineered devices to support stroke rehabilitation;a new challenge in ecological process control based on PLCs with Profinet communication protocol;Richardson's method of segment counting versus boxcounting;box-count analysis of two dimensional images: methodology, analysis and classification;a device to measure the geophysical and hydrophysical parameters;an effective tool for the tropical cyclones monitoring;preliminary results for automatic detection of arteriovenous malformations from medical images;group greedy RLS sparsity estimation via information theoretic criteria;Bayesian networks applications in the reliability of software systems for monitoring electrical substations;characterization of tumor angiogenesis using fractal measures;fractal like kinetics and preconditioning;quaternary crack-edge representation for lossless contour compression;and a modified stochastic simulation algorithm for time-dependent intensity rates.

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Research on Intelligent Voice Broadcast System for Smart Water Conservancy 19

Research on Intelligent Voice Broadcast System for Smart Wat...

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19th international conference on Ubiquitous Information Management and Communication, IMCOM 2025

作者： Huang, Zhenqian Chen, Lanxin College of Computer Science and Software Engineering Hohai University Nanjing China University of Birmingham Birmingham United Kingdom

ISBN: (纸本)9798331507817

Smart water management imposes higher demands on the real-time capabilities and intelligence of watershed information monitoring systems. therefore, we propose an intelligent voice broadcast system for monitoring water information, aimed at achieving efficient and accurate dissemination of warning information. this system can be deployed and integrated into existing water information monitoring systems to enable real-time voice broadcasting of water-related information. To ensure the system’s timeliness and effectiveness, we propose a Performance Optimization Mechanism for Data Processing, Priority control for voice broadcasting, a Content Optimization Mechanism, and a Timeliness control Mechanism. Comparative experiments demonstrate that the proposed intelligent voice broadcast system significantly enhance the efficiency and accuracy of water information dissemination, providing an innovative solution for real-time monitoring and early warning in water management. © 2025 IEEE.

关键词： Information management

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Advancing Blackboard Framework: Responsive Trigger Mechanisms and Dynamic Feasibility Conditions for Optimal Knowledge Source Selection 19

Advancing Blackboard Framework: Responsive Trigger Mechanism...

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19th international conference on Ubiquitous Information Management and Communication, IMCOM 2025

作者： Muhd Mukhtar, Hana Munira Husin, Husna Sarirah Ismail, Suriana Rahmat, Azizah Ismail, Roslan Software Engineering Section Malaysian Institute of Information Technology Universiti Kuala Lumpur Kuala Lumpur Malaysia School of Computer Science Taylor’s University Kuala Lumpur Malaysia Centre of Innovative Digital Education & Emerging Technology Universiti Kuala Lumpur Kuala Lumpur Malaysia

ISBN: (纸本)9798331507817

Expert systems (ES) rely heavily on effective control mechanisms to navigate complex problem-solving tasks. these mechanisms govern how ES utilizes knowledge and data to make decisions and execute actions. Optimizing these mechanisms, or addressing the "control problem," remains a central challenge. Blackboard architectures, with their separation of knowledge and control processes, offer a promising approach. this study introduces an improved control mechanism for blackboard architectures. It focuses on a critical aspect—trigger mechanisms and feasible conditions—for optimal knowledge source selection to participate in the problem-solving process. By leveraging these features, this study aims to enhance decision-making and problem-solving capabilities within complex domains. this paper focuses on the technical details of exploring how it manages the flow of rule activation and execution throughout the problem-solving process. © 2025 IEEE.

关键词： Expert systems

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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

19th International Workshop on Data Privacy Management, DPM ...

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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

ISBN: (纸本)9783031823480

the proceedings contain 33 papers. the special focus in this conference is on Data Privacy Management. the topics include: reteLLMe: Design Rules for Using Large Language Models to Protect the Privacy of Individuals in their Textual Contributions;plausible Deniability of Redacted Text;exploring Distribution Learning of Synthetic Data Generators for Manifolds;HEDAS: Secure and Efficient Distributed OLAP Using Fully Homomorphic Encryption;card-Based Cryptographic Protocols for three-Input Functions with a Standard Deck of Cards Using Private Operations;grid-Based Decompositions for Spatial Data Under Local Differential Privacy;balancing Privacy and Utility in Multivariate Time-Series Classification;dynamic k-Anonymity for Electronic Health Records: A Topological Framework;Using Static Code Analysis for GDPR Compliance Checks;privacy-Preserving Tabular Data Generation: Systematic Literature Review;A DPIA Repository for Interdisciplinary Data Protection Research;secrecy and Sensitivity: Privacy-Performance Trade-Offs in Encrypted Traffic Classification;route Discovery in Private Payment Channel Networks;A Comparative Study of Rust Smart Contract SDKs for Application-Specific Blockchains;offchain Runtime Verification (for the Tezos Blockchain);quantifying Liveness and Safety of Avalanche’s Snowball;We Will DAG You;assessing the Impact of Sanctions in the Crypto Ecosystem: Effective Measures or Ineffective Deterrents?;Practical Implementation of Pairing-Based zkSNARK in Bitcoin Script;Homomorphic Encryption Based ECDSA Generation Over Five Party Protocol;benchmarking Post-quantum Cryptography in Ethereum-Based Blockchains;exploring Anomaly Detection for Marine Radar systems;hunting Vulnerabilities in the Maritime Domain: A Domain Wide Cybersecurity Vulnerability Analysis;threat Modeling in Satellite Communications for Maritime Operations;cybersecurity Challenges in Industrial control systems: An Interview Study with Asset Owners in Norway;usage of Cybersecurity Standards

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19th International Workshop on Data Privacy Management, DPM ...

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ISBN: (纸本)9783031823619

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19th international conference on Artificial Intelligence: Methodology, systems, and Applications, AIMSA 2024

19th International Conference on Artificial Intelligence: Me...

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19th international conference on Artificial Intelligence: Methodology, systems, and Applications, AIMSA 2024

ISBN: (纸本)9783031815416

the proceedings contain 18 papers. the special focus in this conference is on Artificial Intelligence: Methodology, systems, and Applications. the topics include: Cross-Lingual Style Transfer TTS for High-Quality Machine Dubbing;an Approach to Discovering, Tracking Over Time, and Summarizing Publicly Available Information on a Given Topic;reinforcement Learning control of Cart Pole System with Spike Timing Neural Network Actor-Critic Architecture;Predictive and Explainable Modelling in Economics on the Case Study of Remittance Prediction Using the NeuDen AI Computational Architecture;deep Learning for Multi-class Diagnosis of thyroid Disorders Using Selective Features;Advanced CNN-SVM Machine Learning Techniques for Facial Skin Ultrasound Image Analysis;Testing the NEAT Algorithm on a PSPACE-Complete Problem;investigating the Regularization of Deep Neural Networks for Affect Recognition with Relevance-Guided Local Explanations;Layered Data-Centric AI to Streamline Data Quality Practices for Enhanced Automation;Combining Graph NN and LLM for Improved Text-Based Emotion Recognition;a Novel Study on Modelling and Adaptive Optimal control of a Tubular Reactor Based on Gaussian Processes;converging Dimensions: Information Extraction and Summarization through Multisource, Multimodal, and Multilingual Fusion;enhancing Question Answering in Lecture Videos with a Multimodal Retrieval-Augmented Generation Framework;agent-Based Simulation Leveraging Declarative Modeling for Efficient Resource Allocation in Emergency Scenarios;enhancing Security in Federated Learning: Detection of Synchronized Data Poisoning Attacks;Clinical and Acquisition Data for Optimizing MGMT Methylation Status Prediction: A Comprehensive Ensemble Strategy Emphasizing Non-invasive Approaches.

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Lyapunov-Based Performance Oriented Switching Strategies for Linear systems 19th

Lyapunov-Based Performance Oriented Switching Strategies for...

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

作者： Mattogno, Simone Vulcano, Matteo Schiano, Fabrizio Cappello, Domenico Carnevale, Daniele University of Rome Tor Vergata Viale del Politecnico 1 Rome00133 Italy Leonardo Innovation Labs Leonardo S.p.a. Rome Italy

ISBN: (纸本)9783031842597

the last frontiers of robotic applications present increasingly restrictive constraints of control robustness and performance. Concerning this critical requirement, we provide a simple approach leveraging on a switching control policy that we propose optimizing a quadratic performance index that relates to the L2 norm of the tracking error. the approach allows the definition of an optimal switching strategy orchestrating the agent controller, bumpless transfer and reference governor filters, combined with state resets enhancing the performances of the resulting closed-loop hybrid system, which is guaranteed to be globally asymptotically stable while robustness is guaranteed by Lyapunov arguments. We also provide the dual formulation applied to the estimation problem. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Robustness (control systems)

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Reinforcement Learning control of Cart Pole System with Spike Timing Neural Network Actor-Critic Architecture 19th

Reinforcement Learning Control of Cart Pole System with Sp...

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19th international conference on Artificial Intelligence: Methodology, systems, and Applications, AIMSA 2024

作者： Markov, Borislav Koprinkova-Hristova, Petia Institute of Information and Communication Technologies Bulgarian Academy of Sciences Sofia Bulgaria

ISBN: (纸本)9783031815416

this work presents a biologically plausible approach to reinforcement learning control of benchmark cart-pole system with continuous state and discrete actions. the proposed solution utilizes brain-inspired spiking neural networks (SNN), constructed with the aid of the NEST simulator in Python. To update the SNN connection weights, the Temporal Difference TD(0) algorithm is combined with Spike Timing Dependent Plasticity (STDP), reflecting principles of reinforcement learning. It is shown that SNN actor-critic architecture solves the task several times faster than classical neural networks. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Reinforcement learning

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Leveraging Large Language Models for Smart Pharmacy systems: Enhancing Drug Safety and Operational Efficiency 19

Leveraging Large Language Models for Smart Pharmacy Systems:...

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19th international conference on Ubiquitous Information Management and Communication, IMCOM 2025

作者： Osheba, Abdelrahman Abou-El-Ela, Ahmed Adel, Osama Maaod, Youssef Abuhmed, Tamer El-Sappagh, Shaker Faculty of Computer Science and Engineering Galala University Egypt College of Computing and Informatics Sungkyunkwan University Korea Republic of

ISBN: (纸本)9798331507817

Adverse drug reactions (ADRs) remain a crucial challenge in healthcare systems, highly contributing to patient mortality. We present an innovative smart pharmacy system that utilizes advanced large language models (LLMs) to enhance drug safety and pharmacy operational efficiency. Our system integrates real-time data from patient's prescriptions, medication databases, and electronic health records (EHR) to automate the detection of potential drug interactions, optimizing clinical decision-making and reducing ADR-related risks. the system's architecture is designed to easily manage prescription processing for patients, inventory management and control, and Pharmacist consultations through an intelligent chatbot interface. Key features include real-time tracking of medication expiration and inventory levels, an interaction checker API for identifying and mitigating risky drug combinations, and an LLM-powered chatbot for accurate data analysis and visualization. By combining advanced computational techniques with AI-driven insights, our smart pharmacy system not only improves medication safety but also eases pharmacy operations. this transformative approach holds the potential to significantly reduce ADR-related hospital admissions and enhance overall healthcare delivery. Our research underscores the vital role of AI and LLMs in modern pharmacy practice, offering an inclusive solution that integrates easily into existing healthcare infrastructures. the proposed smart pharmacy system can be plugged into hospital EHR systems to automatically track patient medications. © 2025 IEEE.

关键词： Electronic health record

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

19th International Conference on Critical Information Infras...

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

ISBN: (纸本)9783031842597

the proceedings contain 24 papers. the special focus in this conference is on Critical Information Infrastructures Security. the topics include: Enhancing Long-Term Storage Security in Critical Infrastructures Under NIS2 Directive: Addressing Post-quantum Cryptography Challenges;exploratory Trend Analysis of Supply Chain Cybersecurity Management;a Cooperative Feature Removal Mechanism for Cell Outage Detection in Wireless Telecommunication Networks;"Paying the Rent" A Formal Methods Riposte to "Living Off the Land" Attacks;lyapunov-Based Performance Oriented Switching Strategies for Linear systems;a Re-transmission Algorithm for Phasor Data Concentrators for Resilience Enhancement of State Estimation;locally Optimal Information Pathways in the Presence of Static Adversaries for a Hierarchical Smart Distribution Grid Model;inoperability Propagation in Networks with Coupled Logistic Dynamics;Resilience Analysis of Naval Vessels with i2SIM;gender Gap in the Critical Infrastructure Research Community;centrality-Based Security Allocation in Networked control systems;using Tabletop Exercises to Raise Cybersecurity Awareness of Decision-Makers;penetrating the Power Grid: Realistic Adversarial Attacks on Smart Grid Intrusion Detection systems;Cyber Resilience Using ASFA: DORA-Compliant threat-Led Penetration Testing;adaLightLog: Enhancing Application Logs Anomaly Detection via Adaptive Federating Learning;A Cost-Sensitive Approach for Managing Intrusion Alerts in OT Environments;Multicriteria GIS Spatial Analysis for Multi-hazard Assessment of Infrastructures in Case of Natural Events;machine Learning Techniques for Anomaly Detection in the Hydra Testbed: A Data-Driven Defense Strategy;Improving Impact Assessment Using Fuzzy Sets in CISIApro 2.0 Model;a Decision Support System for the Damage and Urban Resilience Assessment of Natural Events;urban Data Governance: an Interoperability-Based Approach for Monitoring Natural threats at Different Geographic Scales, through Smart

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