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Comparative Analysis of Compound TCP with Various End-to-End Congestion control Mechanisms 4

Comparative Analysis of Compound TCP with Various End-to-End...

引用

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

作者： Biswal, Subhra Priyadarshini Gupta, Sheshank Kumar, Arun Patel, Sanjeev National Institute of Technology Department of Computer Science and Engineering Odisha Rourkela769008 India

ISBN: (纸本)9781665474368

Congestion control is a fundamental mechanism offered by the Transmission control Protocol (TCP) to make sure stable data flow and efficient bandwidth allocations in the network. It mainly focuses on the adjustment of the incoming sending rate with respect to the receiving rate. The reliable TCP helps to manage the transmission rate by avoiding the state of network congestion. In recent years, different variants of TCP congestion control protocols have been proposed to enhance TCP reliability and performance under different network scenarios. Moreover, it is associated with several types of network states such as latency, throughput, and packet loss. In this paper, we have performed a comparative study on the performance analysis of various TCP congestion control protocols on NS2 simulator. The results show that CUBIC gives the highest average throughput, Vegas gives the lowest packet loss ratio, and Veno gives the lowest average end-to-end delay among other TCP congestion control techniques that are considered in this paper. © 2022 IEEE.

关键词： Bandwidth

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Development and Implementation of an Animal Intrusion Detection System Using Image and Audio Processing 14

Development and Implementation of an Animal Intrusion Detect...

引用

14th international conference on computing communication and networking Technologies, ICCCNT 2023

作者： Anuvind, P.E. Abhishek, C.K. Shibili, Mohamed Rahila, C.K. Neethu, K. Nss College of Engineering Instrumentation and Control Engineering Kerala India

ISBN: (纸本)9798350335095

The presence of wild animals near populated areas is a significant problem that poses a threat to human lives and causes resource damage. Animals often venture into these areas in search of food, which can result in crop destruction or harm to other animals, and in some cases, even human casualties. To address this issue, a reliable and effective approach is presented in this paper, which utilizes computer vision to automatically detect wild animals. The proposed method employs the YOLO object detection model to identify the presence of wild animals using images and uses an audio model trained through deep learning algorithms to detect specific sounds produced by wild animals. Once an incursion is detected, an alert message is sent to the relevant authorities to take necessary action. © 2023 IEEE.

关键词： Animals

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Specifying Non-Functional Requirements improves Software Vulnerability 14

Specifying Non-Functional Requirements improves Software Vul...

引用

14th international conference on computing communication and networking Technologies, ICCCNT 2023

作者： Kaur, Harsimran Aggarwal, Manju AgBe Technologies Gurgaon India

ISBN: (纸本)9798350335095

Non-Functional Requirements (NFRs) focus on how the software system works and addresses the vital issues of quality for software system. NFRs are must to construct the security policies of the software system. Agile Software Methodology (ASD) methods tend to neglect NFRs as its main focus is mainly to deliver functional requirements. It has been considered during ASD that there is an increase in budget and effort on detailing NFRs at architecture level. But issues raised during security and penetration testing sometimes cost more if NFRs are ignored during development. This paper discusses how the need of security and penetration testing (for identifying Vulnerability issues) can be neutralized by specifying critical NFRs during analysis and specifying along with functional requirements while assigning stories to the developers. The approach is explained with the help of vulnerability issues identified during Penetration Test of real time health application. © 2023 IEEE.

关键词： Budget control

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Optimizing Real-Time Process control through Cloud-Based Automation and Big Data Analysis 15

Optimizing Real-Time Process Control through Cloud-Based Aut...

引用

15th international conference on computing communication and networking Technologies, ICCCNT 2024

作者： Raghu, N. Mahajan, Rupali A. Sivanantham, A. Bareja, Lakshay Rayaguru, N.K. Ganesh, Reddy School of Engineering and Technology Electrical and Electronics Engineering Karnataka Bangalore India Vishwakarma Institute of Information Technology Department of COMP Pune India Karpagam Academy of Higher Education Department of Mechanical Engineering Coimbatore641021 India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Prince Shri Vel Tech Rangarajan Dr. Sagunthala R &D Institute of Science and Technology Department of EEE Chennai India UTAS-IBRI Department of Engineering and Technology Oman

ISBN: (纸本)9798350370249

The complexity of absolute time process control in industries has increased. Despite this, these processes generally involve significant quantities of data that must be analyzed and controlled quickly to maintain the cadence necessary for sound decision-making. It will all intersect at a higher level when cloud-based automation meets extensive data analysis for an overall jump in real-time process control. With cloud-based automation, routines can be monitored and managed off-plot in real time changes the process to do optimization quickly. As the system is capable of automatically rectifying errors when those occur, a time intensive manual monitoring and intervention will be reduced drastically. Further, being a cloud-based platform, it can collect and store large data streams, allowing big-data analytics practices to be applied. Big data analysis will enable organizations to recognize patterns and trends in the process, which is a significant source of value for insights on optimizing it. In addition to this, proactive maintenance can done and costly down times that result due to breakdowns before they happen through predictive analysis as potential failures or anomalies are much smoother. This model means that data has cross-department function and usage through the cloud, leading to more excellent optimization and better decision-making. © 2024 IEEE.

关键词： Data Analytics

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Development of Face Recognition-Based Smart Door Lock System with Remote Servo control Authentication 14

Development of Face Recognition-Based Smart Door Lock System...

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14th international conference on computing communication and networking Technologies, ICCCNT 2023

作者： Kolluru, Chaitanya Akhil, G.V. Siva Priyanka, S. Krishna Reddy, D. Kumar, Aruru Sai Cbit Department of Ece Hyderabad500090 India Vnr VJIET Bachupally Department of Ece Hyderabad500090 India

ISBN: (纸本)9798350335095

Security in the home is more crucial than ever for safeguarding personal belongings and avoiding identity theft. Key loss or theft occurrences have been shown to be vulnerable to traditional access control measures like keys, security cards, passwords, or patterns, which can result in major security breaches. To solve this problem for more effective and safe door access control systems, a novel method based on face recognition employing machine learning and IoT technologies have been presented. A camera records photographs of people trying to enter the building, and the Raspberry Pi, a small programmable computer board, acts as the main controller for the face recognition, youth system, and locking system. IoT technology enables users to manage door access and keep an eye on activity from a distance. This novel approach boosts protection, lowers the danger of theft, and provides a practical, adaptable, and scalable solution for a variety of home security applications. © 2023 IEEE.

关键词： Face recognition

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Research on the Management of Smart Home control System Based on ZigBee

Research on the Management of Smart Home Control System Base...

引用

2023 international conference on Applied Physics and computing, ICAPC 2023

作者： You, Miaona Zhanjiang University of Science and Technology Guangdong Zhanjiang524000 China Assumption University of Thailand Bangkok10700 Thailand

ISBN: (纸本)9798350359244

In recent years, the need for wireless access technology for life is increasing, and the demand for wireless network communication has become higher and higher. This gives wireless communication provides a high-speed development and then turn to the direction of high-speed communication. This paper manages the application system based on ZigBee technology home networking and home environment data testing collection and analysis, including temperature and humidity, light intensity and gas safety monitoring, etc., and sends these data to the terminal, so that the control of the home appliances can be based on the collected data to intelligently adjust the work. © 2023 IEEE.

关键词： Domestic appliances

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Scalable Real-Time control in Industrial Cyber-Physical Systems 24

Scalable Real-Time Control in Industrial Cyber-Physical Syst...

引用

25th international conference on Distributed computing and networking, ICDCN 2024

作者： Haque, Md Ashikul Ismail, Dali Saifullah, Abusayeed Wayne State University DetroitMI United States Binghamton University BinghamtonNY United States

ISBN: (纸本)9798400716737

Real-time communication and control performance are the precursor of industrial cyber-physical systems that employ Wireless Networked control System (WNCS) in critical industrial applications including process control and smart manufacturing. control performance and real-time communication are interdependent in a WNCS. Hence, optimizing control performance under limited resource of network requires a cyber-physical codesign approach. A codesign approach needs to be online to take into account both the current network condition and the current control behavior. Leading industrial wireless standards such as WirelessHART and ISA100 adopt software-defined networking as a centralized routing mechanism. Hence, in current approach, transmission schedules of the entire network are created centrally at a network manager in advance and are then disseminated to the nodes. control performance optimization usually requires to update sampling rates and/or priorities of the control loops, thereby requiring to re-create the schedules. Thus, it becomes highly inefficient under the current fully centralized scheduling approach. In this paper, we propose to optimize control performance in an industrial WNCS through a scheduling-control codesign based on a local and online scheduling approach proposed in a recent work. We formulate the scheduling-control codesign problem to optimize the control performance based on model predictive control theory. Unlike existing offline solution, our codesign complies with online scheduling and entails a rolling optimization to take into account the current control performance to dynamically update the rates and priorities of the control loops. We propose a highly scalable solution of the codesign problem based on a local search approach used as an anytime algorithm. © 2024 ACM.

关键词： Cyber Physical System

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Path-Tracking control of the 4WIS4WID Electric Vehicle by Direct Inverse control using Artificial Neural Network 14

Path-Tracking Control of the 4WIS4WID Electric Vehicle by Di...

引用

14th international conference on computing communication and networking Technologies, ICCCNT 2023

作者： Kumar, Praveen Sandhan, Tushar Indian Institute of Technology Electrical Engineering Kanpur India

ISBN: (纸本)9798350335095

Handling the system's nonlinearity is a challenging aspect for the controllers' design. The four-wheel independent steering, four-wheel independent drive (4WIS4WID) electrical vehicle (EV) composes of a pneumatic tire, motors and suspension system, which all are nonlinear. The classical controller is not a suitable choice for a nonlinear system. An autonomous electric vehicle's path-tracking control (PTC) has applications such as autonomous driving, where the vehicle needs to follow a pre-determined trajectory or navigate through a complex environment. The works of literature on path-tracking control schemes are sophisticated to implement on the 4WIS4WID EV. In this paper, the nonlinearity of the plant has been controlled by direct inverse control (DIC) using artificial neural networks (ANN). The use of ANN makes the PTC a simple and effective solution. The simulation results demonstrate the dual enhancement of tracking accuracy and vehicle stability by implementing the proposed controller. © 2023 IEEE.

关键词： Neural networks

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Linkdb-TCP: A Congestion control Technique For MANET Based On Link Layer Measurements 1

Linkdb-TCP: A Congestion Control Technique For MANET Based O...

引用

1st IEEE international conference on advances in Electronics, communication, computing and Intelligent Information Systems, ICAECIS 2023

作者： Sreenivasa, B.C. Bhanu Prakash, G.C. Sir M Visvesvaraya Institute of Technology Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798350348057

Detection and control of congestion in Mobile ad-hoc networks (MANET) is a challenging task. Congestion hurts performance and reduces the throughput of the system. Thus it is imperative to avoid or control congestion in the network. Congestion control algorithms provided by the Transmission control Protocol (TCP) is specially designed for wired communication and performs poorly in the case of ad-hoc networks. This paper presents a Link-Layer Congestion control algorithm for MANETs, which detects congestion in the network by carrying out an end-to-end analysis. The congestion window is appropriately modified if congestion persists in the system. The new congestion window is communicated to the sender, and its behavior is altered accordingly. The algorithm can be seamlessly incorporated into TCP for practical use © 2023 IEEE.

关键词： Transmission control protocol

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Customer Segmentation using Machine Learning 3

Customer Segmentation using Machine Learning

引用

3rd international conference on advances in Electrical, computing, communication and Sustainable Technologies, ICAECT 2023

作者： Razia Sulthana, A. Jaiswal, Anukriti Supraja, P. Sairamesh, L. University of Greenwich Department of Computing and Mathematical Sciences Old Royal Naval College London United Kingdom Electrical and Computer Engineering College of Engineering Carnegie Mellon University Silicon ValleyCA United States SRM Institute of Science and Technology Department of Networking and Communication Kattankulathur India Anna University Department of Information Science and Technology TamilNadu India

ISBN: (纸本)9781665494007

Customer segmentation has seen major growth in all sectors in the last decade. Several techniques have been devised to analyze customer behavior through loyalty, purchases, recency, frequency and monetary to develop efficient marketing strategies that cater to each client individually. As the availability of products and services increases, so does the competition. With the spiraling of automation accompanied by its cost-effectiveness and ease of availability, all businesses equip themselves with the required workforce and machinery to conduct experiments such as customer segmentation on an industrial scale. In the proposed work, the datasets are manipulated by extracting features from existing attributes. A widespread approach is RFM that calculates the Recency, Frequency and Monetary values for each customer tuple. This paper aims at laying out a new approach at every step of customer segmentation from pre-processing, clustering, validation and suggesting marketing strategies for customer retention. Two datasets- Online Retail II Set and Mall Customer Segmentation are modelled and the results from analysis of both the datasets are presented and compared to reach a generalized opinion. © 2023 IEEE.

关键词： Cost effectiveness

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