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共 5928 条记录，以下是181-190 订阅

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Software-Defined networking: Reconfigurable Network Systems in LAN Topology 3

Software-Defined Networking: Reconfigurable Network Systems ...

引用

3rd international conference on Advanced computing and communication Systems (ICACCS)

作者： Praveen, N. Kumar, K. GCT Coimbatore Tamil Nadu India

ISBN: (纸本)9781467392068

An emerging technology of SDN plays a vital role in network reconfiguration. In an existing system, real word experiment on dynamic changing network topology lacks the ability to change the network configuration. The article works for dynamic reconfiguration in networking through high-level programmability via such C++ or python via SDN controller. In this paper, SDN enable an innovation performance for improving the network reconfigurability through three resources such as controller (Raspberry pi), switch and host nodes. The protocol of Openflow acts as an interface between controller and switch. As a result, the dynamic network reconfigurability solves the problem of manual configuration and reconfiguration to the network operator where the system deploys on campus network.

关键词： Software defined networking Openflow Access control Reconfigurable network

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How to Transfer Flows Efficiently via the Internet?

How to Transfer Flows Efficiently via the Internet?

引用

international conference on computing, networking and communications (ICNC)

作者： Molnar, Sandor Moczar, Zoltan Sonkoly, Balazs Budapest Univ Technol & Econ Dept Telecommun & Media Informat Budapest Hungary Inter Univ Ctr Telecommun & Informat H-4028 Debrecen Hungary

ISBN: (纸本)9781479923588

In this paper we present a performance evaluation study of different transport mechanisms carried out in a testbed environment to reveal their efficiency regarding the transfer of different flows. The current versions of the Transmission control Protocol (TCP) are compared to the Digital Fountain based communication Protocol (DFCP), which is our newly developed transport protocol where congestion control is not applied, but Raptor code based erasure coding scheme is used to recover lost packets. Our results demonstrate that both short-lived and long-lived flows can be transferred more efficiently by DFCP than by TCPs in various network conditions.

关键词： Internet next generation networks telecommunication congestion control transport protocols DFCP Raptor code based erasure coding scheme digital fountain based communication protocol testbed environment transmission control protocol transport mechanisms transport protocol DVD Data transfer Internet Packet loss Transport protocols

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How to Recommend the Best Representation Model for Problem-Solving 5

How to Recommend the Best Representation Model for Problem-S...

引用

5th IEEE international conference on advances in computing, communication control and networking, ICAC3N 2023

作者： Nakka, Arjun Karthikeya Reddy, A. Brahmananda Akhil, Karnam Lekkala, Jatin Chubb Hyderabad India Vnr Vignana Jyothi Institute Of Engineering & Technology Department Of Cse Hyderabad India

ISBN: (纸本)9798350330861

Knowledge is a representation of truth and facts, enabling the integration of new experiences and information through language comprehension. It is represented using Adaptive control of Thought (ACTR) and the connectionist model. Knowledge organization is a semantic network with labeled relations to conceptual nodes. An Ontology-based framework is built for the Language and Organization of Knowledge in the human brain. This project aims to conduct surveys for graduation levels and analyze factors affecting knowledge skills in problem-solving. A semantic web approach for the Connectivism model is created, and Semantic Web Rule Language (SWRL) is applied to generate inference rules. Knowledge is retrieved using SPARQL, forming an intelligent system based on the inference engine. © 2023 IEEE.

关键词： Adaptive control systems

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System Dynamics perspective for Adoption of Internet of Things: A Conceptual Framework 10

System Dynamics perspective for Adoption of Internet of Thin...

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10th international conference on computing, communication and networking Technologies (ICCCNT)

作者： Tripathi, Shailja IFHE Univ Dept IT & Operat IBS Hyderabad Hyderabad 501203 Telangana India

ISBN: (纸本)9781538659069

Internet of Things (IoT) is the group of interconnected computing devices over the internet and implanted in the objects used in daily life for sending and receiving data. IoT helps businesses and society in many ways such as it improves public safety, transportation, and healthcare by providing better information and faster communications. The adoption of IoT is going to create a persistent impact on society and business. This paper develops a model based on system dynamics and identifies the factors influencing IoT adoption. The dominant factors of IoT adoption are communication, control and automation, efficient business processes, self- configuration and cost savings. IoT adoption is also affected by negative factors including privacy risks and security risks, interoperability, reliability, poor infrastructure, less skilled IT professionals, etc. Businesses can reap the potential benefits of IoT by solving the issues related to their adoption. This study is, therefore, a significant contribution towards understanding the factors that influence the adoption of IoT in businesses.

关键词： Internet of Things System Dynamics Self-Configuration control and Automation

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H∞ Tracking control Design for Nonlinear Uncertain Systems 10

H∞ Tracking Control Design for Nonlinear Uncertain Systems

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10th international conference on computing, communication and networking Technologies (ICCCNT)

作者： Kashyap, Parul Prasad, L. B. Madan Mohan Malaviya Univ Technol Dept Elect Engn Gorakhpur Uttar Pradesh India

ISBN: (纸本)9781538659069

The proposed work presents associate H -infinity adaptive control design exploitation back propagation neural networks associated radial basis operate for systems whose uncertainty has an indefinite structure. This design merges ideas from robust control theory like H -infinity control style, the Small Gain Theorem, associated L stability theory with Lyapunov stability theory and up to date theoretical achievements in adaptive control to develop an adaptation design for systems whose uncertainty satisfies a neighborhood carver certain. The technique permits an impression designer to shorten the adaptation standardization method, band limit the adaptation management signal, and treats unmatched uncertainty during a single style framework. During this paper the performance of H -infinity controller is compared by exploitation back propagation neural network and radial basis operate neural network. The achieved result shows that the controller with BPNN provided higher result as compared to controller with radial basis operates. These two comparisons are accomplished.

关键词： BPNA RBFNN H-infinity controller

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Modified Artificial Killer Whale Optimization for Optimal Power Flow 8

Modified Artificial Killer Whale Optimization for Optimal Po...

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8th international conference on computing, communication and networking Technologies (ICCCNT)

作者： Saurabh, Kumar Gupta, Shweta Polvent Control Engineers Dept Engn New Delhi India

ISBN: (纸本)9781509030385

This research article presents a nature inspired meta heuristic approach to deal with optimal power flow (OPF) problem solution. The modified artificial killer whale optimization (MAKWO) algorithm is employed for optimal setting of controlling quantities of OPF. This optimization technique is inspired from hunting procedure of killer whales. The presented method has been employed on IEEE 9-bus, IEEE 14-bus and IEE 30-bus system. Simulation is carried out on MATLAB R2016a platform. The results have been juxtaposed with particle swarm optimization (PSO) technique and an old conventional technique, which recommends that the presented technique is superior and computationally efficient than other used techniques.

关键词： modified artificial whale optimization particle swarm optimization optimal power flow voltage control

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Machine Learning Based Feature Selection for DDoS Detection in Named Data networking 4

Machine Learning Based Feature Selection for DDoS Detection ...

引用

4th international conference on advances in computing, communication control and networking, ICAC3N 2022

作者： Subasri, I. Emil Selvan, G.S.R. Ramkumar, M.P. Thiagarajar College of Engineering Department of Computer Science and Engineering Madurai India

ISBN: (纸本)9781665474368

With the growing recognition that current Internet protocols have significant security flaws;several ongoing research projects are attempting to design potential next-generation Internet architectures to eliminate flaws made in the past. These projects are attempting to address privacy and security as their essential parameters. NDN (Named Data networking) is a new networking paradigm that is being investigated as a potential alternative for the present host-centric IP-based Internet architecture. It concentrates on content delivery, which is probably underserved by IP, and it prioritizes security and privacy. NDN must be resistant to present and upcoming threats in order to become a feasible Internet framework. DDoS (Distributed Denial of Service) attacks are serious attacks that have the potential to interrupt servers, systems, or application layers. Due to the probability of this attack, the network security environment is made susceptible. The resilience of any new architecture against the DDoS attacks which afflict today's Internet is a critical concern that demands comprehensive consideration. As a result, research on feature selection approaches was conducted in order to use machine learning techniques to identify DDoS attacks in NDN. In this research, features were chosen using the Information Gain and Data Reduction approach with the aid of the WEKA machine learning tool to identify DDoS attacks. The dataset was tested using K-Nearest Neighbor (KNN), Decision Table, and Artificial Neural Network (ANN) algorithms to categorize the selected features. Experimental results shows that Decision Table classifier outperforms well when compared to other classification algorithms with the with the accuracy of 85.42% and obtained highest precision and recall score with 0.876 and 0.854 respectively when compared to the other classification techniques. © 2022 IEEE.

关键词： Data reduction

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An Efficient Load Balancing Algorithm in Software Defined Networks 3

An Efficient Load Balancing Algorithm in Software Defined Ne...

引用

3rd international conference on advances in computing, communication control and networking, ICAC3N 2021

作者： Kumari, Shalini Kang, Sandeep Singh Chandigarh University Department of Computer Science and Engineering Mohali India

ISBN: (纸本)9781665438117

In a software-defined network, a network engineer or administrator can shape traffic from a centralized control console without having to touch individual switches in the network. A centralized SDN controller will direct the switches to deliver network services wherever they're needed, regardless of the specific connections between a server and devices. There is the need of an effective route to transfer data from devices to server. In order to set up this route, dynamic connectivity factor approach is used. Link failure in the network leads to the unbalancing of load in the network. This research work inducts the buffer size metric in the dynamic connectivity factor method to recover link, and eventually to balance the network load. When link failure occurs, the gadget having maximal buffer size will be opted for to recover link. The new strategy is enforced and compared against the dynamic connectivity factor method based on several metrics such as throughput, packet loss, delay and load balancing. © 2021 IEEE.

关键词： Software defined networking

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Building an international Entrepreneurship Index using the PSR framework 4

Building an International Entrepreneurship Index using the P...

引用

4th international conference on advances in computing, communication control and networking, ICAC3N 2022

作者： Shivaram, Hitaishi Dutta, Kritika Kappil, Shine Raju Department of Data Science Bangalore India

ISBN: (纸本)9781665474368

This paper builds an international Index for Entrepreneurship (IIE) for the year 2018, by using a conceptual framework named PSR (Pressures-State-Response) to encapsulate the contextual aspect of entrepreneurship globally. In the past, the indices have used a methodological framework of composite indices. This paper uses the PSR framework to show how these indicators fall into the categories of pressure, state, and response, and concentrates on how these subsystems are interrelated. The study considers 41 countries for the construction of the index. We also check the correlation between the IIE and other growth indicators such as the corruption perception index, the economic freedom summary index, GDP per capita, and trade openness using suitable statistical *** correlation analysis demonstrates that the IIE and the Economic Freedom Summary Index have a positive association. © 2022 IEEE.

关键词： Statistical mechanics

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Providing a Cloud-based Smart Meter Solution to control and Monitor Electrical Quantities of Industrial Machines 13

Providing a Cloud-based Smart Meter Solution to Control and ...

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13th IEEE international conference on Wireless and Mobile computing, networking and communications (WiMob)

作者： Lopes, Marcelo Dornbusch Rauta, Leonardo R. P. Mezger, Benjamin W. Wangham, Michelle S. Univ Vale Itajai Lab Embedded & Distributed Syst Itajai SC Brazil Univ Vale Itajai Lab 4Vis Itajai SC Brazil Fed Inst Santa Catarina IFSC Campus Gaspar Gaspar SC Brazil

ISBN: (纸本)9781538638392

The remote monitoring and control of machines are essential in industrial environments. Emerging communication technologies such as Web of Things and Machine to Machine communication can meet this demand for automation in Industry 4.0. This paper aims to introduce a solution for continuous and remote monitoring of electrical quantities in smart industrial environments with three-phase systems. The proposed solution uses a service-oriented architecture and makes use of a Smart Gateway, RESTful web services, and cloud computing. The solution was integrated with a real case study and evaluated by software testing. The results obtained demonstrate the feasibility of the solution, and the accuracy of measurements persisted in the cloud.

关键词： Remote control and Monitoring Electrical Quantities M2M Web of Things Cloud computing

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