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检索条件"任意字段=Conference on Internet Performance and Control of Network Systems II"

共 4638 条记录，以下是381-390 订阅

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International conference on VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded systems, VSPICE-2022

International Conference on VLSI, Signal Processing, Power E...

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International conference on VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded systems, VSPICE-2022

ISBN: (纸本)9789819944439

The proceedings contain 25 papers. The special focus in this conference is on . The topics include: Denoising of ECG Signal Using Optimized iiR Filter Architecture—A CSD-Based Design;deep Learning Analysis for Skin Cancer Detection;Design and Development of a BCI Framework to control a UTM Using EEG Headset;approximate Compressors-Based Multiplier for Image Processing and Neuromorphic Modeling;integration of Particle Swarm Optimization and Sliding Mode control: A Comprehensive Review;design and Testing of a Solar Powered Automated Fruit and Vegetable Sorter;characterization of Dust Particles and Their Impact on the performance of Photovoltaic Panels: A Laboratory Investigation;Design and Analysis of DC-DC Boost Converter;energy Management Analysis on Smart Street Lighting for Smart Cities;design and Implementation of Smart Waste Management System;Design and Development of Efficient Feeding network Structure for Patch Antenna Array Modules in UAV Communication Applications;E—RiCoBiT—ii: A High Performing RiCoBiT (Ring Connected Binary Tree) Topology with Fully Adaptive Routing Algorithm;Design and Development of Autonomous VTOL for Medicine Deliveries in Hilly Areas;Implementation and Design of Agile and Multipurpose Autonomous Robot Using ROS;prediction of Chronic Pain Onset in Patients Experiencing Tonic Pain: A Survey;design and Analysis of Miniaturized Broadband Microstrip Patch Antenna for Aircraft Surveillance Applications;Multiplier Design for the Modulo Set {2n- 1, 2n, 2n+1- 1 } and Its Application in DCT for HEVC;Modelling performance Analysis in VLSI Testing Methodologies;Verification of AHB2APB Bridge Protocol Using UVM;Design and Verification of AMBA AHB Protocol Using UVM.

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Blend CAC: Integration for the Blockchain for Distributed Potential network Access for the internet of Things

Blend CAC: Integration for the Blockchain for Distributed Po...

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2023 International conference on Artificial Intelligence and Smart Communication, AISC 2023

作者： Malhotra, Abhiraj Chitkara University Chitkara University Institute of Engineering and Technology Punjab India

ISBN: (纸本)9798350322309

Due to the rise of the IoT, disparate embedded smart devices may now work together to provide intelligent services, with or without human intervention. When used in massive IoT-based requests like Smart Grid or Smart Cities, IoTs also generate significant privacy and security problems. One of the main security challenges for IoTs is access authorization. For the sake of cooperation and information safety, it is crucial. One problem with current access control systems is the reliance on a centralized authorization server, which may act as either a performance bottleneck or a single point of failure (AC). In order to ensure the safety of IoT devices, this research offers Blend CAC, a blockchain-supported decentralized capability-based AC. With the Blend CAC, we want to provide effective mechanisms for controlling access to devices, facilities, and data in large-scale IoT networks. dependent upon A capacity allocation method is suggested to disseminate authorization credentials throughout a blockchain network. In order to have a secure identity-based capability token management approach, it is recommended to employ smart contracts for the permission registration, dissemination, and cancellation processes. Blend CAC is a proposal that might allow IoT systems to independently manage their controller and assets with having to communicate with any higher-ups. tried out on a Pic Microcontroller with a local private blockchain. © 2023 IEEE.

关键词： Smart contract

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Elevating network performance - Part ii from IPv6 and network Security Deployments 25

Elevating Network Performance - Part II from IPv6 and Networ...

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52nd Annual ACM SIGUCCS conference, SIGUCCS 2025

作者： Fujimura, Sho Okumura, Masaru Information Technology Center Fukuoka University Fukuoka Fukuoka Japan

ISBN: (纸本)9798400710605

This paper presents our ongoing research in identifying use cases, developing plans, and evaluating the effectiveness of measures taken to ensure our network meets the needs of Fukuoka University use cases, focusing on our work to transition to IPv6 next-generation networks and enhancements to network *** the backdrop of the rapidly evolving era of ultra-high-capacity communications, the number of devices connected to campus networks is rapidly increasing in terms of the number of Wi-Fi device connections at Fukuoka University. As a result, the problem of IPv4 address space exhaustion, here is an urgent need to review IPv4 operations and migrate IPv6, the next-generation internet protocol. This smooth transition from IPv4 to IPv6 will be discussed in detail based on our case study in Part 1[1] and our plans for the *** addition, university network security has become increasingly important in recent years as cyber attacks have become more sophisticated and diversified. Therefore, from the viewpoint of network security, we will analyze more deeply how the introduction of Web Content Filter Service and ProtectiveDNS contributes to improving security, following Part 1[1], and clarify its effectiveness and *** presentation of our research will provide attendees with information and examples of real-world applications of cutting-edge technology, and IPv6 deployment and network security technologies, along with clear guidelines for what to consider when implementing similar strategies in campus network environments. © 2025 Copyright held by the owner/author(s).

关键词： Transmission control protocol

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Curvature-based Analysis of network Connectivity in Private Backbone Infrastructures 22

Curvature-based Analysis of Network Connectivity in Private ...

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2022 ACM SIGMETRICS/IFIP performance Joint International conference on Measurement and Modeling of Computer systems, SIGMETRICS/performance 2022

作者： Salamatian, Loqman Anderson, Scott Matthews, Joshua Barford, Paul Willinger, Walter Crovella, Mark Columbia University New YorkNY United States University of Wisconsin-Madison MadisonWI United States NIKSUN Inc. NJ United States Boston University BostonMA United States

ISBN: (纸本)9781450391412

The main premise of this work is that since large cloud providers can and do manipulate probe packets that traverse their privately owned and operated backbones, standard traceroute-based measurement techniques are no longer a reliable means for assessing network connectivity in large cloud provider infrastructures. In response to these developments, we present a new empirical approach for elucidating private connectivity in today's internet. Our approach relies on using only "light-weight"(i.e., simple, easily-interpretable, and readily available) measurements, but requires applying a "heavy-weight"or advanced mathematical analysis. In particular, we describe a new method for assessing the characteristics of network path connectivity that is based on concepts from Riemannian geometry (i.e., Ricci curvature) and also relies on an array of carefully crafted visualizations (e.g., a novel manifold view of a network's delay space). We demonstrate our method by utilizing latency measurements from RIPE Atlas anchors and virtual machines running in data centers of three large cloud providers to (i) study different aspects of connectivity in their private backbones and (ii) show how our manifold-based view enables us to expose and visualize critical aspects of this connectivity over different geographic scales. © 2022 Owner/Author.

关键词： latent representations internet curvature physical topology manifold

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BPMN4CARS: A Car-Tailored Workflow Engine 21

BPMN4CARS: A Car-Tailored Workflow Engine

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IEEE 21st International conference on Industrial Informatics (INDIN)

作者： Koenig, Simone Vogel-Heuser, Birgit Wilch, Jan Unger, Tobias Hahn, Michael Soldo, Stjepan Kopp, Oliver Tech Univ Munich Inst Automat & Informat Syst Garching Germany Opitz Consulting GmbH Bad Homburg Germany Mercedes Benz AG Sindelfingen Germany

ISBN: (纸本)9781665493130

The importance of high-performance computers in car networks increases to realize software assistance functions. These computers offer new opportunities for use cases in car testing and diagnostics towards vehicle software and services. Therefore, car testing and diagnostics are no longer limited to the testing and functional checking of electric and electronic components. Proven concepts from computer science, such as business process management, can be integrated into the car network to provide a uniform basis for automotive use cases. In this paper, (i) the Business Process Model and Notation (BPMN) standard is used to model diagnostic processes in future car production lines and (ii) a car-tailored BPMN workflow engine is introduced to execute the processes in a high-performance vehicular computer. The research on executable BPMN models in car networks bridges the gap between interdisciplinary business processes and execution in automotive IT systems.

关键词： Software-defined car Service-oriented vehicle diagnostics control and testing Car-tailored workflow engine Executing BPMN

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Design and Implementation of Parallel Deterministic network System

Design and Implementation of Parallel Deterministic Network ...

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Computer Science, Electronic Information Engineering and Intelligent control Technology (CEI), IEEE International conference on

作者： Xuyang Zhao Xingming Zhang Jun Zhu Heyuan Li Fujun Zhang Xia Chen Zhejiang Lab The Intelligent Computing Infrastructure Innovation Center Hangzhou China

ISBN: (数字)9798350378542

ISBN: (纸本)9798350378559

With the current development of industrial internet technology, the number of interconnected industrial control devices is increasing, the throughput of key data in industrial internet networks is increasing, and the requirements for deterministic data processing are increasing. Traditional industrial control systems generally use low-performance single-core processors, which operate the collected industrial data in a single-core and single-threaded manner, resulting in poor key data processing capabilities and a lack of data scheduling capabilities. With the development of industrial internet technology and deterministic network technology, the parallel data processing capabilities of multi-core SoCs can effectively meet the needs of industrial real-time networks. The data flow of the industrial internet network uses custom data identification and a parallel data processing mechanism. The data faces macro operations such as data packet matching, parsing, and forwarding to establish models, provide accurate execution mechanisms for devices in the time dimension, and effectively ensure high throughput and low-latency deterministic transmission of industrial control data.

关键词： Process control Data processing Throughput Reliability engineering Real-time systems Stability analysis internet Security Data communication network systems

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Cloud Computing Load Forecasting by Using Bidirectional Long Short-Term Memory Neural network 4th

Cloud Computing Load Forecasting by Using Bidirectional Lon...

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4th International conference on IoT Based control networks and Intelligent systems, ICICNIS 2023

作者： Salb, Mohamed Elsadai, Ali Jovanovic, Luka Zivkovic, Miodrag Bacanin, Nebojsa Budimirovic, Nebojsa Singidunum University Danijelova 32 Belgrade11000 Serbia

ISBN: (纸本)9789819965854

Cloud services play an increasingly significant role in daily life. The widespread integration of the internet of Things, and online services has increased demand for stable and reliable cloud services. To maximize utilization of available computing power a need for a robust system for forecasting cloud load is evident. This work proposed an artificial intelligence (AI)-based approach applied to cloud load forecasting. By utilizing bidirectional long short-term memory (BiLSTM) neural networks and formulating this task as a time-series forecasting challenge accurate forecasts can be made. However, proper functioning of BiLSTM is very reliant on proper hyper-parameter selection. To select the optimal values suited to this task a modified version of the sine cosine algorithm (SCA) is introduced to optimize the performance of the proposed method. The introduced approach is subjected to a comparative analysis against several contemporary algorithms tested on a real-world data-set. The attained outcomes indicate that the introduced approach has decent potential for forecasting cloud load in a real-world environment. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Long short-term memory

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Impact of Blockchain Technology in 6G network: A Comprehensive survey 5

Impact of Blockchain Technology in 6G Network: A Comprehensi...

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5th International conference on Inventive Computation Technologies (ICICT)

作者： Bindu, G. Joseph, Iwin Thanakumar S. Kanakala, V. Raviteja Niharika, G. L. K. Raj, Benson Edwin Koneru Lakshmaiah Educ Fdn Dept Comp Sci & Engn Guntur Andhra Pradesh India Sri Sairam Engn Coll Dept Comp Sci & Business Syst Chennai Tamil Nadu India Higher Coll Technol Dept Comp Informat Sci Fujairah U Arab Emirates

ISBN: (数字)9781665408370

ISBN: (纸本)9781665408387;9781665408370

internet of Things (IoT) plays a major role in deploying futuristic smart systems. The entire globe is focused towards an epoch of intelligent communication, which is ubiquitous and secure in nature. The sixth generation (6G) network leverages superior performance in terms of its enhanced reliability, transmission rate in multi-gigabit, sub-1ms latency and especially ubiquitous communication. However, it is highly necessary to effectively manage the resource allocation process that arises as a result of the scarcity in spectrum resources in order to meet all the increasing requirements of modern digital communication. Since security is an essential feature of intelligent communication era, an emerging technology named blockchain gives significant value to establish secure communication in 6G network with its effective as well as disruptive control and management of resource allocation and sharing process. This research article highlights the importance of blockchain technology in 6G network by highlighting its major challenges, research directions and futuristic application opportunities.

关键词： 6G network Blockchain internet of Things (IoT) Industrial internet Spectrum

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10 Gigabit industrial thermal data acquisition and storage solution based on software-defined network 7

10 Gigabit industrial thermal data acquisition and storage s...

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7th IEEE International conference on Data Science in Cyberspace, DSC 2022

作者： Zhang, Ge Zhang, Zheyu Sun, Jun Wang, Zun Wang, Rui Wang, Shirui Xie, Chengyun China Industrial Control Systems Cyber Emergency Response Team Beijing China

ISBN: (数字)9781665474801

ISBN: (纸本)9781665474801

With the wide application of internet technology in the industrial control field, industrial control networks are getting larger and larger, and the industrial data generated by industrial control systems are increasing dramatically, and the performance requirements of the acquisition and storage systems are getting higher and higher. The collection and analysis of industrial equipment work logs and industrial timing data can realize comprehensive management and continuous monitoring of industrial control system work status, as well as intrusion detection and energy efficiency analysis in terms of traffic and data. In the face of increasingly large realtime industrial data, existing log collection systems and timing data gateways, such as packet loss and other phenomena [1], can not be more complete preservation of industrial control network thermal data. The emergence of software-defined networking provides a new solution to realize massive thermal data collection in industrial control networks. This paper proposes a 10-gigabit industrial thermal data acquisition and storage scheme based on software-defined networking, which uses software-defined networking technology to solve the problem of insufficient performance of existing gateways. © 2022 IEEE.

关键词： Digital storage

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Adaptive-Cost Shortest Path Based Heuristic for Space Division Multiplexing networks 5

Adaptive-Cost Shortest Path Based Heuristic for Space Divisi...

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5th IEEE International conference on Advanced systems and Emergent Technologies (IC_ASET)

作者： Mrad, Mehdi Suryahatmaja, Umar S. Elsayed, Abdelrahman Ossama Gharbi, Anis Esmail, Maged Abdullah King Saud Univ Coll Engn Dept Ind Engn Riyadh Saudi Arabia Prince Sultan Univ Coll Engn Communicat & Networks Engn Dept Riyadh Saudi Arabia

ISBN: (纸本)9781665427357

The total internet traffic is rapidly rising as a result of the growing popularity of various network services. One of the network types is mesh network where space division multiplexing (SDM) has become an interesting approach to deal with the upcoming capacity crisis issue. SDM's key concept is to take advantage of the spatial dimension to significantly increase transmission system power. In this paper, we present an adaptive cost shortest path based heuristic for flexgrid SDM optical networks. The preliminary experimental results show a promising performance in terms of minimizing the highest used number of slices over all the links/cores of the network.

关键词： heuristics internet traffic routing slice assignment SDM networks

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