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IoT Based Smart Home Appliance control for detecting the speed using Wifi 802.11a in Comparison with Wi-Max 4

IoT Based Smart Home Appliance Control for detecting the spe...

引用

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

作者： Kalyan Reddy, D. Vimala, G.S. Annie Grace Saveetha University Saveetha Institute of Medical and Technical Sciences Tamilnadu Chennai602105 India Saveetha University Saveetha School of Engineering Department of Electronics and Communication Engineering Tamilnadu Chennai602105 India

ISBN: (纸本)9781665474368

The purpose of this research is to investigate the viability of utilising Wi-Fi 802.11a for the control of household appliances and to evaluate its performance in comparison to that of WiMAX. The sample size is two, and there are two separate groups for each of them is one hundred. When evaluating the efficiency of the Internet of Things-based household appliances, 200 representative samples in total are used, with a type I error rate of 0.05 and a pertest power of 80%. utilised. WiMAX and WIFI 802.11a are contrasted with regard to how quickly they transfer data. It has been determined that the mean speed of WIFI 802.11a can now reach up to 54 Mbps, while the mean speed of WiMAX is 10 Mbps. WiMAX is not nearly as good as Wi-Fi 802.11a-based home appliance solutions for the Internet of Things (IoT). © 2022 IEEE.

关键词： Internet of things

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An Improved BBR Algorithm with Adaptive Congestion control for LEO Satellite Networks

An Improved BBR Algorithm with Adaptive Congestion Control f...

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2024 international conference on Cloud and Network computing, ICCNC 2024

作者： Wang, Zhiyi Zhao, Ya Han, Wei Jin, Fan Lan, Lixin Lu, Haitao Chen, Chen State Grid JiLin Province Electric Power Company Limited Information Changchun China Xidian University School of Telecommunications Engineering Xi'an China Xi'An Beilin University-Based Innovation Group Co. Ltd. Xi'an China National Key Laboratory of Science and Technology on Space Microwave Xi'an China Ningbo Joynext Technology Corporation Joynext Ningbo China Science and Technology on Communication Networks Laboratory Shijiazhuang050000 China Xidian University Xidian Hangzhou Institute of Technology Hangzhou China

ISBN: (纸本)9798350367805

Low Earth Orbit (LEO) satellite networks are favored for their global coverage, low latency, and geographical flexibility, but they also face challenges of high dynamism in network topology and congestion control. To address these issues, this study introduces an improved BBR congestion control algorithm (Deep-BBR) based on traffic prediction. The algorithm integrates Long Short-Term Memory networks, Graph Convolutional Networks, and attention mechanisms to accurately predict bandwidth utilization and dynamically adjust pacing gains. Experimental results show that the Deep-BBR algorithm significantly outperforms the traditional BBR algorithm in effective throughput, latency, and in-flight data management, effectively enhancing the communication performance and stability of LEO satellite networks. This improvement offers a more efficient and intelligent solution for congestion control in LEO satellite networks. © 2024 IEEE.

关键词： Satellite communication systems

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Early Detection of DDoS Attacks in SDN using Machine Learning Techniques 14

Early Detection of DDoS Attacks in SDN using Machine Learnin...

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

作者： Pericherla, Parvathi Sanjana Thangavel, Senthil Kumar Srinivasan, Kartik Tibrewal, Anjali Vajipayajula, Sulakshan Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Amrita School of Computing Coimbatore India Ibm India Pvt Ltd Ibm Security India

ISBN: (纸本)9798350335095

Software-defined networking (SDN) have emerged as a popular approach to manage network traffic in data centers. By separating the control plane from the data plane, SDN enables intelligent controllers to manage network traffic in real-time, which offers greater flexibility and fine-grained control over network policies. However, SDN is vulnerable to attacks that compromise the control plane, which can have serious consequences for the entire network. For instance, an attacker could attack the control plane and manipulate network traffic to cause a denial-of-service (DoS) attack or steal sensitive data. To address this problem, this paper proposes an architectural design change to enhance the security of the SDN controller and flow. Extensive analysis is performed to evaluate the performance of different machine learning algorithms on a dataset of malicious network traffic. Classification of the network traffic is performed using popular algorithms, such as Decision Trees, Random Forest, K-Means, and SVC algorithms as either benign or malicious. Followed by model performance is traced back using explainable AI. Results showed that Hybrid Random Forest-Decision tree Tree classified the traffic with highest accuracy of 98% compared to previous models. Our goal was to determine which algorithm performed best on this type of dataset, and to assess the effectiveness of each algorithm in detecting different types of attacks and finding a reasoning behind the performance of algorithm using explainable AI. © 2023 IEEE.

关键词： Software defined networking

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Nuclei Classification in Histopathology Images Using Fuzzy Ensemble of Convolutional Neural Networks 14

Nuclei Classification in Histopathology Images Using Fuzzy E...

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

作者： Kadaskar, Mukul Patil, Nagamma National Institute of Technology Karnataka Department of Information Technology Surathkal India

ISBN: (纸本)9798350335095

The development of computational pathology and healthcare studies depends on cell nuclei classification. It has several lifesaving uses, particularly in cancer diagnosis. It is helpful in various applications, including disease diagnosis and medicinal therapy. Due to the number of problems, human examination of these image slides is unpleasant and time-consuming. Morphological traits add to the intricacy. We suggested a fuzzy distance ensemble of Convolutional Neural Networks to achieve state-of-the-art nucleus classification performance. This new model is easier to train and makes more accurate predictions using underlying basic classifiers. To examine how well our model worked, we used the PanNuke dataset. Our model's scores are 0.811 for accuracy, 0.811 for F1, 0.815 for precision, and 0.809 for recall. © 2023 IEEE.

关键词： Disease control

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Exploring Recent advances in Sentiment Analysis, Research Methodologies, and Technical Approaches for the Study of Bank Nifty Index 8

Exploring Recent Advances in Sentiment Analysis, Research Me...

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8th IEEE international conference on computing, communication, control and Automation, ICCUBEA 2024

作者： Ukhalkar, Prakash Zirmite, Ravikant Bhate, Manasi Hingane, Suraj Hingane, Swati Pimpri Chinchwad College of Engineering Mca Department Pune India MES's Institute of Management and Career Courses Mca Department Pune India Abhinav Education Society's Institute of Management and Research Mca Department Pune India Rmd Sinhgad School of Management Studies Mba Department Pune India

ISBN: (纸本)9798350391770

Sentiment analysis has emerged as a pivotal technique in deciphering investor sentiment and market trends, thereby influencing investment decisions in financial markets. This paper delves into the recent strides made in sentiment analysis, research methodologies, and technical approaches specifically tailored for studying the Bank Nifty Index, a key benchmark in the Indian financial landscape. By integrating sentiment analysis with traditional financial analysis techniques, researchers and practitioners stand to glean deeper insights into market dynamics and make more astute investment choices. This paper encompasses recent developments in sentiment analysis, research methodologies and technical approaches, scrutinizes their applicability to the Bank Nifty Index, and elucidates their implications for financial research and practice. © 2024 IEEE.

关键词： Decentralized finance

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System Identification and Analysis of Temperature control System 1

System Identification and Analysis of Temperature Control Sy...

引用

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

作者： Anitha, M. Prusty, Sankata Bhanjan REVA University School of Electronics and Communication Engineering Bengaluru560064 India

ISBN: (纸本)9798350348057

In real world, most of the phenomenons occur based on some physical, chemical and biological laws. The study of phenomena becomes much easier through the use of mathematical models with various approaches. In many controls engineering, it is often very important to automate the control process and ensure the optimum performance of the system. Many methods are developed to convert the real time data into the mathematical model. The process of obtaining the mathematical relationship of dynamic behavior of the system is known as system identification. The system identification using empirical method is carried based on the datasets imported into the MATLAB for temperature control system Heat exchanger system. The proportional integral derivative PID controller is used to uplift the substantial optimum performance of the system. The best fit transfer function is identified and the states space model and transfer function model are compared in system identification SI tool box in MATLAB. © 2023 IEEE.

关键词： Three term control systems

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Li-FiAR: networking Augmented-Reality Devices through Visible Light 30

Li-FiAR: Networking Augmented-Reality Devices through Visibl...

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30th international conference on Mobile computing and networking, ACM MobiCom 2024

作者： Shah, Moteen Shah, Dhairya Medaranga, Pramuka Varshney, Ambuj National University of Singapore Singapore

ISBN: (纸本)9798400704895

We have seen rapid deployment of augmented reality devices. However, these devices currently suffer from limited battery life. They require frequent recharge, especially when capturing and streaming information wirelessly. In particular, these devices stream information over the radio spectrum using transceivers that are power-hungry, and wireless communication dominates the energy budget of these devices. We present our ongoing work to design a system called Li-FiAR, which proposes integrating Li-Fi with augmented reality devices. Specifically, we implement a transmitter and receiver and integrate them with an augmented reality device. We argue that Li-Fi receivers may consume less power than their radio counterparts while benefiting from the spatial nature of light propagation. This enables novel application scenarios for augmented reality. We demonstrate the transmission of images and audio through Li-Fi, presented on an augmented reality device in this work. © 2024 Copyright held by the owner/author(s).

关键词： Budget control

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On Handling Bigdata Efficiently and Securely with Customised control-An Illustrative Study

On Handling Bigdata Efficiently and Securely with Customised...

引用

2024 international conference on advances in computing, communication, Electrical, and Smart Systems, iCACCESS 2024

作者： Hossain, Noman Kibria, Raihan Khan, Niaz Ashraf Bin Hafiz, Md Ferdous Dipto, Shakib Mahmud Chakraborty, Sovon University of Liberal Arts Bangladesh Department of Computer Science and Engineering Dhaka Bangladesh

ISBN: (纸本)9798350350289

At the age of big data, enormous data are being produced every second. It requires extended data security and efficiency in processing that data. Paid cloud services seem easier to use due to fewer management tasks involved in data processing and system organization, but they are not cost-effective for some organizations, and they might not always be secure for other clients. In such cases, a custom-made, self-owned cloud system would be the best solution to solve these issues. In this work, the authors aim to provide such a custom cloud solution, which is equally useful as paid cloud services, sound in data security, and efficient in energy and data processing. The authors provide a hands-on guideline to develop such a solution for small to large organizational data processing needs. This work can be seen as an illustrative reference for implementing a Hadoop-based big data platform incorporation. © 2024 IEEE.

关键词： Cost effectiveness

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Speed control of BLDC Motor using Integral Sliding Mode controller 3

Speed Control of BLDC Motor using Integral Sliding Mode Cont...

引用

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

作者： Dange, Omkar Patil, Nilam Gadgune, Swapnil Linus, Rajin M PVPIT Budhgaon Dept. of Electrical Engg. MH Sangli India SGU Atigre Dept. of Ele & Eln Engg. MH Kolhapur India

ISBN: (纸本)9781665494007

The BLDC motor is popular choice for many applications. These systems require accurate tracking of speed command. In this paper, Integral Sliding Mode controller (ISMC) based speed controller is proposed. The performance of BLDC drive is analyzed with constant load and constant speed operation. Hysteresis current control technique is used to generate pulses for inverter switches. The drive is simulated using MATLAB/Simulink software. The results are presented for validation. © 2023 IEEE.

关键词： Pulse width modulation

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Concept-based Hybrid control Algorithm for Explainable Deep Learning System 14

Concept-based Hybrid Control Algorithm for Explainable Deep ...

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

作者： Viswanath, Kothe Uma Sankari, S.S. Mishra, Deepak Master Control Facility India Vikram SaraBhai Space Center India Indian Institute of Space Science and Technology India

ISBN: (纸本)9798350335095

Artificial intelligence (AI) is a branch that has been widely growing without being constrained to a single discipline. But, along with the widespread applications, a certain amount of skepticism is involved in it. The said skepticism establishes a need for controlled AI to ensure functionality within operational limits. To this end, explainability provides a strong foundation, as it builds trust between the users and the system, and enables users to further understand the mechanics of the system. But, the research in this area is in its early stages, especially in the area of deep learning. This paper seeks to establish the need and to define the explaining- ability (explainability) and research the current works in this field and propose a concept-based hybrid algorithm to satisfy the established standard of explainability and compensate for the drawbacks in related works. The hybrid control algorithm proposed in this paper provides accurate, meaningful explanations and provides functionality to impose knowledge limits. It also provides a flexible regularizer to aid in a trade-off between explainability and computational cost along with a wide array of other functionality for design flexibility. © 2023 IEEE.

关键词： Learning systems

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