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检索条件"任意字段=Conference on the Future Computer and Control Systems"

共 10642 条记录，以下是121-130 订阅

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Advances in future computer and control systems 2012

引用

丛书名： Advances in Intelligent and Soft Computing

2012年

作者： David Jin Sally Lin

ISBN: (数字)9783642293900

ISBN: (纸本)9783642293894

FCCS2012 is an integrated conference concentrating its focus on future computer and control systems. Advances in future computer and control systems presents the proceedings of the 2012 International conference on future computer and control systems(FCCS2012) held April 21-22,2012, in Changsha, China including recent research results on future computer and control systems of researchers from all around the world.

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Advances in future computer and control systems 2012

引用

丛书名： Advances in Intelligent and Soft Computing

2012年

作者： David Jin Sally Lin

ISBN: (数字)9783642293870

ISBN: (纸本)9783642293863

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FlexEar-Tips: Shape-Adjustable Ear Tips Using Pressure control 25

FlexEar-Tips: Shape-Adjustable Ear Tips Using Pressure Contr...

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Proceedings of the 2025 CHI conference on Human Factors in Computing systems

作者： Takashi Amesaka Takumi Yamamoto Hiroki Watanabe Buntarou Shizuki Yuta Sugiura Lifestyle Computing Lab Keio University Yokohama Kanagawa Japan Future University Hakodate Hakodate Hokkaido Japan IPLAB University of Tsukuba Tsukuba Ibaraki Japan

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Generative AI in Real-Time E-Commerce Fraud Detection: A Comparative and Ethical Analysis

Generative AI in Real-Time E-Commerce Fraud Detection: A Com...

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Intelligent control, Computing and Communications (IC3), International conference on

作者： Rashi Tyagi Gauri Goyal Shiva Tyagi Department of Computer Science and Engineering Ajay Kumar Garg Engineering College Ghaziabad India

ISBN: (数字)9798331527495

ISBN: (纸本)9798331527501

This paper will discuss generative AI models, such as GANs, VAEs, and a hybrid GAN-VAE, towards real-time fraud detection in e-commerce. GANs perform outstandingly in synthesizing fraudulent data, while VAEs detect complex patterns of fraud. The proposed hybrid method combines the respective strengths and achieves higher accuracy and adaptability. Also, issues regarding ethical concerns related to privacy in data and biases are taken care of, illustrating the future possibility of generative AI in upgrading the frameworks for fraud detection in e-commerce.

关键词： Ethics Generative AI Biological system modeling Prevention and mitigation Real-time systems Hybrid power systems Fraud Electronic commerce Standards Resilience

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Playing with Modalities 33

Playing with Modalities

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33rd EACSL Annual conference on computer Science Logic, CSL 2025

作者： Pimentel, Elaine Olarte, Carlos Lang, Timo Freiman, Robert Fermüller, Christian G. Computer Science Department University College London United Kingdom LIPN CNRS UMR 7030 Université Sorbonne Paris Nord France TU Wien Austria

ISBN: (纸本)9783959773621

In this work, we will explore modalities through dialogical game lenses. Games provide a powerful tool for bridging the gap between intended and formal semantics, often offering a more conceptually natural approach to logic than traditional model-theoretic semantics. We begin by exploring substructural calculi from a game semantic perspective, driven by intuitions about resource-consciousness and, more specifically, cost-sensitive reasoning. The game comes into full swing as we introduce cost labels to assumptions and a corresponding budget. Different proofs of the same end-sequent are interpreted as strategies for a player to defend a claim, which vary in cost. This leads to a labelled calculus, which can be viewed as a fragment of subexponential linear logic. We conclude this first part with a discussion of cut-admissibility for the proposed system. In the second part, we show that our games offer an interesting insight also into modal logics. More precisely, we will focus on the modal logic PNL, characterised by Kripke frames with two types of disjoint and symmetric reachability relations. This framework is motivated by the study of group polarisation, where the opinions or beliefs of individuals within a group become more extreme or polarised after interaction. Our approach to reasoning about group polarisation is based on PNL and highlights a different aspect of formal reasoning about the corresponding models - using games and proof systems. We conclude by outlining potential directions for future research. © Elaine Pimentel, Carlos Olarte, Timo Lang, Robert Freiman, and Christian G. Fermüller.

关键词： Budget control

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Navigating the Smart Grid Landscape: A Comprehensive Review of Recent Advances

Navigating the Smart Grid Landscape: A Comprehensive Review ...

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Power, control and Computing Technologies (ICPC2T), conference on

作者： V G Sree Sai R Divya Manjula G Nair Amrita School of Business Amrita Vishwa Vidyapeetham Amritapuri India Department of Electrical & Electronics Engineering Amrita Vishwa Vidyapeetham Amritapuri India

ISBN: (数字)9798331530402

ISBN: (纸本)9798331530419

In a world of today, where traditional power systems are being modernized to cater to the evolving needs of the population, the concept of smart grids has become inevitable. This paper provides an in-depth analysis of recent advances in smart grid technologies, focusing on the integration of renewable energy, decentralized control systems, and cybersecurity challenges. Key innovations include microgrids, virtual power plants, and energy storage systems, which collectively enhance grid efficiency and sustainability. The review highlights the role of artificial intelligence and machine learning in optimizing energy distribution, load forecasting, and demand-side management. Additionally, challenges such as bidirectional power flows, cybersecurity threats, and the scalability of digital twins are discussed. Implications for future research emphasize the need for robust regulatory frameworks, scalable energy storage solutions, and advanced cybersecurity measures to support the ongoing evolution of smart grids.

关键词： Renewable energy sources Reviews Decentralized control Bidirectional power flow Power system stability Virtual power plants Smart grids computer security Sustainable development Energy storage

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Enhancing Grid Resilience Through Hybrid Renewable Energy systems: Challenges, control Strategies, and future Directions: A Review

Enhancing Grid Resilience Through Hybrid Renewable Energy Sy...

引用

Power Engineering conference (SAUPEC), Southern African Universities

作者： Sampi Denis Lumina Mkhululi Elvis Mnguni Nomzamo Tshemese-Mvandaba Electrical Electronic and Computer Engineering Cape Peninsula University of Technology Cape Town South Africa

ISBN: (数字)9798331535162

ISBN: (纸本)9798331535179

Expanding renewable energy integration in a traditional grid is a vital means to strengthen the contribution of renewable resources in the energy landscape, aligning with the maintenance of adequate power systems and carbon peaking objectives, especially when power systems networks look into providing reliable, efficient and safe voltage to loads end consumption. As electricity demand keeps growing, and technologies evolve, traditional power systems are at some stage no longer able to provide sufficient power to the load. Emerging in this regard is the idea of incorporating new technology in the traditional grid to improve the generation capacity. Hybrid Renewable Energy appears to be a suitable solution for improving grid resilience and rentability, creating a primacy for power system performance benchmarking to its objectives. Thus, call to look at some contributions in the field of Hybrid Renewable Energy influence in power systems.

关键词： Renewable energy sources Wind energy Reviews Power system stability Hybrid power systems Batteries Power system reliability Voltage control Thermal stability Resilience

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Real-Time Drone System for Detecting, Tracking, and Following of a Mobile Robot in ROS/Gazebo

Real-Time Drone System for Detecting, Tracking, and Followin...

引用

control, Automation, and Instrumentation (IC2AI), International conference on

作者： Ali Salman Mohammad Dika Hassan Diab Michel Owayjan Roger Achkar Faculty of Engineering and Computer Science American University of Science & Technology Beriut Lebanon Institut de Recherche en Energie Electric de Nantes Atlantique (IREENA) Nantes University Saint-Nazaire France

ISBN: (数字)9798331529604

ISBN: (纸本)9798331529611

Surveillance drones equipped with video transmission capabilities play a crucial role in modern security systems, with the integration of OpenCV for object detection marking a significant advancement. This study evaluates the detecting accuracy by varying the distance between the drone and the target object, addressing gaps in current research through a detailed practical insight. This research explores key aspects of drone-based video surveillance, including object detecting, tracking and real-time following, aiming to enhance understanding and methodology in computer Vision (CV) applications with Unmanned Aerial Vehicles (UAVs). The Simulation of a surveillance drone system in Gazebo simulator within the ROS2 framework. The drone is programmed to dynamically follow and track a mobile robot, enabling systematic analysis of the object detection algorithm's performance. The findings contribute to advancing the reliability and effectiveness of drone-based video surveillance systems for future innovations in security and monitoring applications.

关键词： Tracking loops Technological innovation Target tracking Object detection Autonomous aerial vehicles Video surveillance Real-time systems Mobile robots Security Drones

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Intelligent control Mechanisms for Renewable Energy Integration Using Machine Learning Models

Intelligent Control Mechanisms for Renewable Energy Integrat...

引用

Pervasive Computational Technologies (ICPCT), International conference on

作者： Suman Chahar Kawaljit Kaur Kuldeep Singh Kaswan Kiran Malik University Institute of Computing Chandigarh University Mohali India Department of Computer Science and Engineering Galgotias University Greater Noida India Department of Computer Science and Engineering-AIML GL Bajaj Institute of Technology and Management Greater Noida India

ISBN: (数字)9798331508685

ISBN: (纸本)9798331519476

The deployment of renewable energy sources (RES) in power systems used to be a major challenge owing to their intermittent and uncertain nature. Therefore, in this paper, the use of ML models as an intelligent control system to improve the operation of RES is studied. We survey different types of ML approaches, covering supervised learning for energy predic- tion, unsupervised learning for clustering demand, reinforcement learning for energy storage management, and deep learning for real time data processing. The intent of these advanced control strategies are to balance and stabilize the grid, harmonize demand response, and augment energy storage. We highlight the use-cases and impacts of ML from real-world cases across various geographies, showing operational gains and peak-demand savings. While these technologies hold great promise, they also face challenges like data privacy, interpretability of models, and availability of high-quality datasets. Moving forward, there is a need to improve transparency of algorithms and to strengthen the collaboration of different stakeholders. Our work paves the way for a systematic and automated approach to renewable energy integration, which can serve as a critical factor to build a reliable and efficient future modern power systems with machine learning.

关键词： Deep learning Renewable energy sources Uncertainty Power system stability Real-time systems Demand response Power system reliability Unsupervised learning Intelligent control Energy storage

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RFID based Automatic Pathway for Emergency Vehicles

RFID based Automatic Pathway for Emergency Vehicles

引用

IEEE Students' conference on Electrical, Electronics and computer Science (SCEECS)

作者： Anjali Dani Durva Rane Sanchi Bansal Avinash More Dept. Electronics and Telecommunication MPSTME NMIMS Mumbai India

ISBN: (数字)9798331529833

ISBN: (纸本)9798331529840

This project introduces an automated traffic control system aimed at facilitating the swift movement of emergency vehicles through urban intersections. Leveraging the integration of RFID and IoT technologies, the system utilizes Node MCU and Arduino Mega microcontrollers for seamless communication and traffic management. RFID tags affixed to emergency vehicles trigger dynamic control over traffic signals, ensuring unobstructed passage. Audible alerts through a buzzer and real-time information displayed on an LCD enhance safety and situational awareness. Coordinated LED signals optimize traffic flow, while IoT integration with Adafruit enables remote operation capabilities. future enhancements, including GPS tracking with the SIM800L module, would support real-time, location-specific traffic adjustments, significantly reducing response times and enhancing the efficiency of city traffic management.

关键词： Visualization Urban areas Traffic control Real-time systems Time factors Internet of Things Security Vehicle dynamics Global Positioning System Vehicles

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