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检索条件"任意字段=2nd International Conference on Computer Communications Control Technology"

共 23628 条记录，以下是71-80 订阅

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Performance Analysis of Resource Allocation Algorithms for Vehicle Platoons over 5G eV2X Communication 17

Performance Analysis of Resource Allocation Algorithms for V...

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17th international conference on COMmunication Systems and NETworkS, COMSNETS 2025

作者： Mandal, Gulabi Roy, Anik Palit, Basabdatta Indian Institute of Technology Department of Computer Science and Engineering Kharagpur India Indian Institute of Technology Advanced Technology Development Center Kharagpur India National Institute of Technology Department of Electronics and Communication Engineering Rourkela India

ISBN: (纸本)9798331531195

Vehicle platooning is a cooperative driving technology that can be supported by 5G enhanced Vehicle-to-Everything (eV2X) communication to improve road safety, traffic efficiency, and reduce fuel consumption. eV2X communication among the platoon vehicles involves the periodic transmission of Cooperative Awareness Messages (CAMs) containing vehicle information under strict latency and reliability requirements. These requirements can be maintained by administering the assignment of resources, in terms of time slots and frequency bands, for CAM transmission in a platoon, with the help of a resource allocation mechanism. State-of-the-art on control and communication design for vehicle platoons either consider a simplified platoon model with a detailed communication architecture or consider a simplified communication delay model with a detailed platoon control system. Departing from existing works, we have developed a comprehensive vehicle platoon communication and control framework using OMNET + +, the benchmarking network simulation tool. We have carried out an inclusive and comparative study of three different platoon Information Flow Topologies (IFTs), namely Car-to-Server, Multi-Hop, and One-Hop over 5G using the Predecessor-Leader Following platoon control law to arrive at the best-suited IFT for platooning. Secondly, for the best-suited 5G eV2X IFT, we have analyzed the performance of three different resource allocation algorithms, namely Maximum of Carrier to Interference Ratio (MaxC/I), Proportional Fair (PF), and Deficit Round Robin (DRR). Exhaustive system-level simulations show that the One-Hop information flow strategy along with the MaxC/I resource allocation yields the best Quality of Service (QoS) performance, in terms of latency, reliability, Age of Information (AoI), and throughput. © 2025 IEEE.

关键词： Vehicle to vehicle communications

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Decentralized Energy Grid System Using IoT and Blockchain: A Sustainable Future 2nd

Decentralized Energy Grid System Using IoT and Blockchain: A...

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2nd international conference on Data Science and Network Engineering, ICDSNE 2024

作者： Debnath, Saswati Patil, Vedavati Agrawal, Dhruv Department of Computer Science and Engineering Alliance University Karnataka Bengaluru India

ISBN: (纸本)9789819783359

The global pursuit of sustainable energy solutions has led to the exploration of innovative technologies aimed at revolutionizing energy management and distribution. This paper presents integration of Blockchain and Internet of Things (IoT) technologies in decentralizing energy management with a focal point on transmitting power data from small-scale renewable power stations to a central power plant. IoT devices strategically monitor energy production from renewable energy sources, such as wind turbines, solar panels, and microgrids, enabling real-time data analysis to maximize efficiency. These transactions, which are automated by smart contracts, ensure trust. Interoperability, data security, and user interfaces are all covered as the technical architecture required for seamless integration in this paper. It is important that regulations need to be changed to make room for creative energy solutions. This framework highlights sustainability, encourages energy independence, and lessens dependency on centralized power by supporting renewable energy sources. By combining blockchain technology, IoT, and sustainable energy practices, the proposed system aims to transform the way of energy distributing, improving security, resilience, and sustainability while giving to communities more control over how much energy they use and produce. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Clean energy

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2nd international conference on Emerging Wireless Technologies and Sciences, ICEWTS 2024

2nd International Conference on Emerging Wireless Technologi...

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2nd international conference on Emerging Wireless Technologies and Sciences, ICEWTS 2024

ISBN: (纸本)9783031878855

The proceedings contain 8 papers. The special focus in this conference is on Emerging Wireless Technologies and Sciences. The topics include: Artificial Neural Network Based ECG Feature Extraction Using Wavelet Transform;analyzing the Hybrid Electric Vehicle's Performance for Automatic Acceleration control;design of an Iterative Method for Zero-Day Attack Detection Using Adversarial Graph Temporal Convolutional Networks and Federated Learning;Explainable AI for Fraud Detection: Enhancing Transparency and Trust in Financial Decision-Making;integrating Blockchain and Advanced Algorithms for Digital Image Authenticity: A Comprehensive Approach to Tamper Detection;enhancing Network Security: An Ensemble of Machine Learning Model for Detection of Distributed Denial of Service Attack.

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Predicting COVID-19 Cases in India Using ARIMA, Prophet, LSTM and Data Analysis Using Power BI 2nd

Predicting COVID-19 Cases in India Using ARIMA, Prophet, LST...

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2nd international conference on Data Science and Network Engineering, ICDSNE 2024

作者： Das, Abhrajit Seidenberg School of Computer Science and Information Systems Pace University New York United States

ISBN: (纸本)9789819783359

India confronted a serious challenge in the initial throes of the COVID-19 pandemic. This study addressed this by leveraging machine learning to analyse confirmed cases and support better decision-making. We compared the efficacy of Auto-Regressive Integrated Moving Average (ARIMA), Facebook Prophet and Long Short-Term Memory (LSTM) models on a Kaggle dataset, visualizing the results with Power BI to forecast future trends. The LSTM model, evaluated using Mean Absolute Percentage Error (MAPE), demonstrated superior accuracy in predicting case numbers. This research underlines the importance of data analysis during public health emergencies. Machine learning offers valuable insights for policymakers, empowering them to control outbreaks and allocate resources effectively. Ultimately, this paves the way for strengthened public health responses and preparedness for future pandemics. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： COVID-19

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In-depth development of temperature insensitive refractive index Fabry-Perot optical sensor 2

In-depth development of temperature insensitive refractive i...

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2nd international conference on Optical Communication and Optical Information Processing, OCOIP 2024

作者： Gao, Yuda Luo, Yanhua Institute of Fiber Optics Key Laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai Institute for Advanced Communication and Data Science Shanghai University Shanghai200444 China

ISBN: (数字)9781510688995

ISBN: (纸本)9781510688988

Sensors based on optical fiber interference structures offer benefits such as high sensitivity, simple fabrication and good compatibility, and are widely used in fields like biological monitoring, chemical engineering, and environmental monitoring. However, these sensors often face unavoidable cross-sensitivity issues between temperature and refractive index. Therefore, developing a new optical fiber refractive index sensor that is insensitive to temperature and has a broad refractive index measurement range remains a significant research issue. In this work, proposing a temperature-insensitive refractive index sensor featuring a two-stage Fabry-Perot (F-P) cavity made from single-mode fiber (SMF), capillary fiber (CF), and no core fiber (NCF) based on the principle of mode interference. The research experimentally investigates the sensor's sensitivity to temperature and refractive index. Results indicate that the sensor's amplitude correlates linearly with the refractive index in both optical and Fourier domains, covering a refractive index range of 1.3164 to 1.4215. In the Fourier domains, sensitivities of - 0.7184/refractive index unit (RIU) and - 0.2672/RIU are recorded at two distinct positions, respectively. A direct relationship between the amplitude and the refractive index is established. Additionally, the proposed sensor is almost insensitive to temperature in both the wavelength and Fourier domains. At the same time, experimental validation using water, ethanol, isopropanol, and glycerin solutions with varying refractive indexes, yielding results that align well with the established refractive index relationship. © 2025 SPIE.

关键词： Fabry-Perot interferometers

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Investigating the Transferability of Evasion Attacks in Network Intrusion Detection Systems Considering Domain-Specific Constraints 25th

Investigating the Transferability of Evasion Attacks in N...

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25th international conference on Information Security Applications, WISA 2024

作者： Mbow, Mariama Roman, Rodrigo Seal, Ayan Wang, Kevin I-Kai Mohanty, Sraban Kumar Sakurai, Kouichi Department of Information Science and Technology Kyushu University Fukuoka Japan Lab University of Malaga Málaga Spain PDPM Indian Institute of Information Technology Design and Manufacturing Jabalpur482005 India Department of Electrical Computer and Software Engineering The University of Auckland Auckland1010 New Zealand

ISBN: (纸本)9789819616237

Recently, adversarial attacks against machine learning-based network intrusion detection systems (NIDS) have gained significant attention in cybersecurity. This study investigates the transferability of these adversarial attacks in the context of NIDS. In addition, most existing studies in adversarial learning against NIDS adopted attack strategies designed originally for image classification without considering network traffic characteristics. However, this is impractical and will fail in the real world as network traffic features are constrained, and ignoring the functional behavior of the network traffic features leads to invalid network traffic flow or produces adversarial samples that do not retain their original functionality (malicious or benign). To address these issues, we propose a constrained momentum iterative fast gradient sign method (C-MIFGSM) to generate adversarial network flows that can successfully evade an ML-based IDS through transfer-based attacks while preserving the functional behavior of the network traffic. Our approach was validated using several target NIDS models built with the NSLKDD benchmark dataset. Experimental results demonstrate that even without knowledge of the target model and under feature constraints, it is possible to generate adversarial network traffic flows that achieve a high evasion attack success rate against NIDS built with deep learning and classical ML models. For example, the attack degraded the detection rate of the DoS traffic drops from 92.35% to 20.27% for the MLP model with an evasion increase rate of 78.04%. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adversarial machine learning

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Enhancement of Power Quality in Single Phase Systems Using Grid Connected Solar Inverter with AQSG control 2nd

Enhancement of Power Quality in Single Phase Systems Using G...

引用

2nd international conference on Sustainability: Developments and Innovations, ICSDI 2024

作者： Nambiar, Divya R. Kumar, Sooraj Suresh Kumar, M. V. Manoj Jayaprakash, P. Subramaniam, Umashankar Almakhles, Dhafer Department of EEE Government College of Engineering Kerala Kannur India Department of Communications and Network Engineering College of Engineering Prince Sultan University Riyadh Saudi Arabia

ISBN: (纸本)9789819783441

Power quality improvement is of paramount importance in both single as well as three-phase systems in the current scenario. Conventional control techniques used in three-phase systems do not apply to single-phase systems. Hence, we implement a Grid Connected Solar Inverter (GCSI) with Adaptive Quadrature Signal Generator (AQSG) based current control for enhancing power quality in single-phase system. It could solve the power quality issues in grid current introduced by both non-linear loads as well as Renewable Energy Sources (RESs) and provide clean energy to the consumers, hence improving the grid reliability. The simulation of GCSI with AQSG control for a single phase grid is implemented using MATLAB/Simulink. Further the Fast Fourier Transform analysis is done in order to validate that the Total Harmonic Distortion (THD) of the GCSI is within the allowed bounds specified by IEEE standard 519-2014. The hardware implementation of the entire system is done in the laboratory projecting that the results obtained through the introduced system stand in accordwith that of the simulation. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Harmonic distortion

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Temperature Effects on Microalgae Cell Growth in an Outdoor HLTP 2nd

Temperature Effects on Microalgae Cell Growth in an Outdo...

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2nd international conference on Mathematical Analysis and Applications in Modeling, ICMAAM 2023

作者： Nahar, Nurun Monir, Mohammad Iftekhar Islam, Md. Rashedul Deb, Ujjwal Kumar Department of Mathematics Chittagong University of Engineering and Technology Chattogram Bangladesh Department of Mathematics Premier University Chattogram Bangladesh Jamal Nazrul Islam Research Center for Mathematical and Physical Sciences University of Chittagong Chittagong Bangladesh Department of Computer Science and Engineering International Islamic University Chittagong Chattogram Bangladesh

ISBN: (纸本)9789819791934

Biofuel from microalgae is a promising alternative that can substitute fossil fuels because they are renewable and eco-friendly. The growth of microalgae is influenced by numerous culture parameters, and temperature is considered one of the vital growth factors among them. In this study, we developed a computational growth model related to irradiance related temperature for an outdoor operated Horizontal Loop Tubular Photobioreactor (HLTP) for a specific geographic location. The effects of direct and diffuse solar radiation on the Photobioreactor (PBR) temperature are considered in this model. The meteorological data associated with the geographic location has been collected for the simulation. We simulated the model by COMSOL Multiphysics and ob-served a temperature fluctuation between 24.85 ∘C and 38.45 ∘C throughout the PBR domain. The significant issue of temperature control is also suggested from this study. Over the simulated period, a uniform cell growth has been observed. The hydrodynamic behaviors of the suspension flow inside the reactor, radial and axial temperature distribution are also analyzed in this study. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Microalgae

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Decentralizing Cybersecurity: A Dynamic Distributed Honeypot System Leveraging Blockchain technology

Decentralizing Cybersecurity: A Dynamic Distributed Honeypot...

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Computational Intelligence, Communication technology and Networking (CICTN), international conference on

作者： Aparna Tiwari Dinesh Kumar Department of Computer Science and Engineering GZSCCET Maharaja Ranjit Singh Punjab Technical University Bathinda India

ISBN: (数字)9798331530389

ISBN: (纸本)9798331530396

In the continuous expanding domain of cybersecurity, the rise of more cyber threats is also increasing. Therefore, it demands the development of more efficient defense strategies. In past, honeypots are used as lucrative devices to attract malicious activity. However, most of the honeypot systems are static in nature, which may not be efficient in distributed environment. This paper introduces a Dynamic Distributed Honeypot System (DDHS) for the same purpose. In these honeypots nodes are dynamically distributed and connected via blockchain technology, aimed at improving threat detection and response capabilities. By distributing honeypots across multiple nodes in a blockchain network, the proposed system is more secure against external attack. The paper defines the system's architecture, assesses Blockchain performance in terms of attack probability.

关键词： Organizations computer architecture Threat assessment communications technology Blockchains computer security Network intrusion Computational intelligence

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Towards a Network Expansion Approach for Reliable Brain-computer Interface 13

Towards a Network Expansion Approach for Reliable Brain-Comp...

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13th international Winter conference on Brain-computer Interface, BCI 2025

作者： Lee, Byeong-Hoo Yin, Kang Dept. of Brain and Cognitive Engineering Korea University Seoul Korea Republic of Dept. of Artificial Intelligence Korea University Seoul Korea Republic of

ISBN: (纸本)9798331521929

Robotic arms are increasingly being used in collaborative environments, requiring an accurate understanding of human intentions to ensure both effectiveness and safety. Electroencephalogram (EEG) signals, which measure brain activity, provide a direct means of communication between humans and robotic systems. However, the inherent variability and instability of EEG signals, along with their diverse distribution, pose significant challenges in data collection and ultimately affect the reliability of EEG-based applications. This study presents an extensible network designed to improve its ability to extract essential features from EEG signals. This strategy focuses on improving performance by increasing network capacity through expansion when learning performance is insufficient. Evaluations were conducted in a pseudo-online format. Results showed that the proposed method outperformed control groups over three sessions and yielded competitive performance, confirming the ability of the network to be calibrated and personalized with data from new sessions. © 2025 IEEE.

关键词： Robotic arms

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