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Electrical, computer and Energy Technologies (ICECET), International Conference on

作者： Nompumelelo Chili Emmanuel Mukubwa Nelendran Pillay Department of Electronic and Computer Engineering *Electrical Power Engineering Durban University of Technology Durban South Africa Electrical and Communication Engineering Moi University Eldoret Kenya Department of Electronic and Computer Engineering Durban University of Technology Durban South Africa

Massive Multiple-Input Multiple-Output (MIMO) answers the exponentially increasing demand for comprehensive fixed broadband and broadcast wireless communication services. Massive MIMO is a pivotal technology in the 5G and beyond (5GaB) wireless communication systems. This paper compares linear precoding algorithms such as Minimum Mean Square Error (MMSE), Neumann Series Approximation (NSA) with nonlinear precoders such as Tomlinson-Harashima Precoder (THP), and Lattice Reduction (LR) algorithm, the Lenstra-Lenstra-Lov'asz (LLL) precoder. The comparison was conducted using Bit-Error Rate (BER) and signal-to-noise ratio (SNR) performance measures. Simulated results prove that nonlinear precoders outperform linear precoding in high SNR regions.

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Wildlife Intrusion Detection System for Agriculture Protection Based on Image Recognition 13

Wildlife Intrusion Detection System for Agriculture Protecti...

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13th IEEE Global Conference on Consumer electronic, GCCE 2024

作者： Kiat, Yong Kit Som Mahamad, Abd Kadir Saon, Sharifah Othman, Maisara Kadir, Herdawatie Binti Abdul Ahmadon, Mohd Anuaruddin Yamaguchi, Shingo Universiti Tun Hussein Onn Malaysia Faculty of Electrical and Electronic Engineering Johor Malaysia Universiti Teknologi Petronas Department of Computer and Information Sciences Perak Malaysia Yamaguchi University Graduate School of Sciences and Technology for Innovation Japan

ISBN: (纸本)9798350355079

The proposed project uses a Raspberry Pi microcontroller to prevent crop losses caused by animals like dog, wild pigs, and monkeys. These animals pose a significant threat to farmers, leading to financial losses. This project offers an innovative solution, as it is impractical to physically secure entire fields or have farmers present at all times. Raspberry Pi 4 and the Raspberry Pi Camera Module 2 NoIR havebeen used in this project, to captures images of intruding animals, sends notifications to users, and triggers an alarm. The model obtained an accuracy of 95% for intruder detection. The goal is to provide timely alerts, allowing farmers to respond quickly and minimize crop damage, effectively addressing wildlife-induced agricultural losses. © 2024 IEEE.

关键词： Livestock

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A Complete Frequency Response Service Scheme using PV-Supercapacitor Cascade Topology 1

A Complete Frequency Response Service Scheme using PV-Superc...

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1st IEEE Industrial electronics Society Annual On-Line Conference, ONCON 2022

作者： Karpana, Sivakrishna Batzelis, Efstratios Maiti, Suman Chakraborty, Chandan Iit Kharagpur Department of Electrical Engineering Kharagpur India School of Electronic and Computer Science University of Southampton Southampton United Kingdom

ISBN: (纸本)9798350398069

Frequency response services have become more important than ever in an increasingly inertia-less power system. A promising way to provide such services in a photovoltaic (PV) system is by hybridizing with supercapacitors (SC) due to their high power density, long operating cycles and fast response. The challenge, however, with a PV/SC system is what topology can effectively integrate such devices with so low and variable voltage, as well as how to control them for optimal utilization of their very limited capacity. This paper builds upon a previously introduced PV/SC cascade topology and proposes a complete control scheme for frequency services. A power segregation mechanism infers how the power demand is shared between SC and PV array, accounting for the operational boundaries of the former and occasionally deciding short-term curtailments for the latter. The proposed scheme involves also a voltage recovery function to slowly get the SC voltage back to the steady-state value after a disturbance, the latter being calculated via a newly introduced methodology. MATLAB/Simulink simulations validate the control efficacy under a series of frequency disturbances. © 2022 IEEE.

关键词： Frequency response

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A High-Performance MTJ-LUT Circuit Using 4T1M Architecture 17

A High-Performance MTJ-LUT Circuit Using 4T1M Architecture

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17th IEEE International Conference on Solid-State and Integrated Circuit Technology, ICSICT 2024

作者： Pan, Yu Zhang, Yuejun Guo, Shuaicheng Tian, Yuanxin Hong, Bo Fang, Rui Wen, Liang Ding, Yong Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo315211 China China Coast Guard Academy Department of Electronic Technology Ningbo315211 China College of Integrated Circuits Zhejiang University Hangzhou310058 China

ISBN: (纸本)9798350361834

As fundamental components of programmable logic circuits, Lookup Table (LUT) circuits enable the implementation of arbitrary combinational logic. The volatility, standby power dissipation, and propagation delay of LUT circuits critically affect the performance of programmable logic circuits. In order to address the problems of circuit volatility, propagation delay and standby power dissipation, a high-performance Magnetic Tunnel Junction LUT (MTJ-LUT) circuit design scheme is proposed based on the 4T1M structure. According to the characteristics of MTJ principle, and comparing with the classical MTJ-LUT memory cell, MTJ-LUT memory module based on 4T1M structure is proposed;Based on the LUT circuit principle of 4T1M structure, a circuit architecture with current mirror bias circuitry is proposed to adopt the compliant reference resistor, and the steady-current-powered reading mode is used to achieve the optimal reading operation and reduce the delay;The circuit function is implemented in SMIC 40nm process using SPICE simulation tool. The experimental results show that the propagation delay and power dissipation of the MTJ-LUT circuit proposed are reduced by 72% and 15%, respectively, compared with the conventional MTJ-LUT circuit. © 2024 IEEE.

关键词： Delay circuits

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Chaotic Multiple-image Encryption and Individual-image Decryption with FPGA Implementation 9

Chaotic Multiple-image Encryption and Individual-image Decry...

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9th International Conference on Integrated Circuits, Design, and Verification, ICDV 2024

作者： Hoang, Thang Manh Pham, Quang-Anh Hoang, Manh-Hai Tran, Do Quang Assad, Safwan El Hanoi University of Science and Technology School of Electrical and Electronic Engineering Hanoi Viet Nam University of Alberta Department of Computer Science Edmonton Canada Nantes Université CNRS IETR UMR 6164 NantesF-44000 France

ISBN: (纸本)9798350371864

A large volume of image data has been increasingly generated in every area, and it is necessary to keep confidential. Multiple image encryption is a promising solution for massive image data. Existing algorithms allow to encrypt multiple images at the same time, but it is required to decrypt all cohort ciphered images to retrieve even one or a few of images. It wastes time and resource for undesired images. In this work, for the first time, a model of MIE is proposed to overcome the mentioned drawback of existing algorithms by allowing to decrypt individual images from a cohort of encrypted images. The effectiveness of the proposed model is demonstrated by the result of exemplar simulation and its FPGA implementation for the DICOM standard. © 2024 IEEE.

关键词： chaotic cryptography DICOM FPGA perturbed chaotic map

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Internet of Things (IoT) in solar energy: A Bibliometrics analysis and global publications trends 13

Internet of Things (IoT) in solar energy: A Bibliometrics an...

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Energy Harvesting and Storage: Materials, Devices, and Applications XIII 2023

作者： AlMallahi, Maryam Nooman Nassan, Wafaa Al Obaideen, Khaled Yousef, Bashria A. A. AlJaghoub, Haya Rami Ramadan, Omar H. Bonny, Talal AlShabi, Mohammad Department of Mechanical and Aerospace Engineering United Arab Emirates University Al Ain City United Arab Emirates Department of Computer Engineering University of Sharjah Sharjah United Arab Emirates Sustainable Energy & Power Systems Research Centre RISE University of Sharjah Sharjah United Arab Emirates Department of Sustainable and Renewable Energy Engineering University of Sharjah Sharjah United Arab Emirates Department of Industrial Engineering and Engineering Management University of Sharjah Sharjah United Arab Emirates Department of Electrical and Electronic Engineering University of Sharjah United Arab Emirates Department of Mechanical and Nuclear Engineering University of Sharjah United Arab Emirates

ISBN: (数字)9781510661417

ISBN: (纸本)9781510661400

With the modernization of cities, the concept of the Internet of Things (IoT) is gaining popularity and becoming a vital source of smart developments. An added advantage of solar energy systems, IoT applications enable automatic and remote sensing, processing, and execution. IoT ensures that information is easily available and accessible from any location around the world. The IoT applications improve the visibility, scalability, and cost-effectiveness of solar energy generation and service. A bibliometric analysis of scientific publications in the field of solar PV and IoT applications was conducted using the Scopus database between the years 2011 and 2023. Many studies of technological development have been discovered, and some insights can still be approached in such a way that the practical implementation of photovoltaic solar systems is improved. Since 2013, there has been an increase in the rate of publications. The majority of these studies were conducted in India, and the most common IoT applications reported were in the fields of computer science and engineering. This article identifies knowledge gaps to inform the community, industry, and government officials about IoT research directions in the solar energy field. © 2023 SPIE.

关键词： Solar energy

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Approximate state estimation with large-scale sensor networks under event-based sensor scheduling strategy 63

Approximate state estimation with large-scale sensor network...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Liu, Xinhui Cheng, Meiqi Shi, Dawei Shi, Ling Beijing Institute of Technology Miit Key Laboratory of Servo Motion System Drive and Control School of Automation Beijing100081 China Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Kowloon Hong Kong

ISBN: (纸本)9798350316339

In this paper, we investigate the issues of real-time sensor scheduling and state estimator design within large-scale sensor network systems. Specifically, data redundancy sometimes occurs in large-scale sensor arrays due to the excessive proximity of sensing units in the spatial domain, leading to high similarity in their measurement data. Currently, it is difficult to account for such redundancy in sensor scheduling algorithms found in existing literature, where the optimal subset of sensors is generally selected by optimizing objective functions formulated from certain performance criteria. To tackle this problem, we introduce an event-based sensor scheduling strategy, the triggering condition of which is designed founded on the similarity of sensor data, so as to identify the most informative subset of sensors for state estimation. To evaluate the impact of the sensor scheduling protocol on system observability, we propose a new notion of E(varepsilon)-observability, based on which an observability criterion is derived. In addition, we have designed a set-valued state estimation algorithm, which takes into account the intricate measurement information structure inherent within the sensor selection mechanism. The performance enhancement of the proposed estimator is also investigated. Finally, numerical experiments are conducted to validate the effectiveness of the proposed estimation algorithm and to verify the performance improvement. © 2024 IEEE.

关键词： Scheduling algorithms

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Throughput Analysis of SIC-Based Two-Device Slotted ALOHA with Feedback Over Nakagami-m Fading Channels 18

Throughput Analysis of SIC-Based Two-Device Slotted ALOHA wi...

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18th International Symposium on Information Theory and Its Applications, ISITA 2024

作者： Fukui, Daiki Takahashi, Yuhei Song, Guanghui Kimura, Tomotaka Liu, Zilong Cheng, Jun Doshisha University Department of Intelligent Information Engineering and Sciences Kyoto610-0321 Japan Xidian University The State Key Laboratory of Integrated Services Networks Xi'an710071 China School of Computer Science and Electronic Engineering University of Essex ColchesterCO4 3SQ United Kingdom

ISBN: (纸本)9784885523519

Throughput analysis for successive interference cancellation-based two-device slotted ALOHA with feedback is studied over Nakagami-m fading channels. Explicit expressions for the state transition probabilities are derived for a Markov process, thus facilitating the computation of the throughput. Through optimization of the transmission probability, it is shown that the maximum throughput is achieved for a given code rate. © 2024 The Institute of electronics, Information and Communication Engineers.

关键词： Markov processes

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Online Learning to Cache and Recommend in the Next Generation Cellular Networks

IEEE Transactions on Machine Learning in Communications and ...

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IEEE Transactions on Machine Learning in Communications and Networking 2024年 2卷 511-525页

作者： Tharakan, Krishnendu S Bharath, B.N. Bhatia, Vimal Queen's University School of Computing KingstonONK7L 3N6 Canada Dharwad580011 India Indian Institute of Technology Indore Department of Electrical Engineering Center for Advanced Electronics Indore453552 India University of Hradec Králové Faculty of Informatics and Management Hradec Králové500 03 Czech Republic Soochow University School of Electronic and Information Engineering Suzhou215006 China

An efficient caching can be achieved by predicting the popularity of the files accurately. It is well known that the popularity of a file can be nudged by using recommendation, and hence it can be estimated accurately leading to an efficient caching strategy. Motivated by this, in this paper, we consider the problem of joint caching and recommendation in a 5G and beyond heterogeneous network. We model the influence of recommendation on demands by a Probability Transition Matrix (PTM). The proposed framework consists of estimating the PTM and use them to jointly recommend and cache the files. In particular, this paper considers two estimation methods namely a) Bayesian estimation and b) a genie aided Point estimation. An approximate high probability bound on the regret of both the estimation methods are provided. Using this result, we show that the approximate regret achieved by the genie aided Point estimation approach is mathcal {O}(T{2/3} sqrt {log T}) while the Bayesian estimation method achieves a much better scaling of mathcal {O}(sqrt {T}). These results are extended to a heterogeneous network consisting of M small base stations (SBSs) with a central macro base station. The estimates are available at multiple SBSs, and are combined using appropriate weights. Insights on the choice of these weights are provided by using the derived approximate regret bound in the multiple SBS case. Finally, simulation results confirm the superiority of the proposed algorithms in terms of average cache hit rate, delay and throughput. © 2023 CCBY.

关键词： Heterogeneous networks

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Federated Learning Models for Intrusion Detection in Industrial IoT Networks

Federated Learning Models for Intrusion Detection in Industr...

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International Conference on Circuit, Power and Computing Technologies (ICCPCT)

作者： Sanjana Prasad Ishu Sharma Deepashree Rajendraprasad Department of Electronics and Communication Engineering HKBK College of Engineering Bangalore India Department of Computer Science and Engineering Lovely Professional University Phagwara Punjab India Department of Health Informatics Boston University Boston Massachusetts USA

ISBN: (数字)9798350372816

ISBN: (纸本)9798350372823

The Industrial Internet of Things has emerged as an essential tool for building Industry 4.0 and Industry 5.0 where timely information can be retrieved from different scenarios. These devices are highly vulnerable to cyberattacks as heterogeneous types of devices can be used in the infrastructure that may or may not be equipped with standardized security protocols. Artificial intelligence-based methodologies can effectively identify these types of attacks on a prior basis for taking mitigation action. This method raises concerns about data privacy as building a machine learning-based method requires the sharing of network data that can reveal the actual information of industries. The proposed Federated Learning based framework handles this concern by preserving each device’s critical data by utilizing the benefits of the decentralized model aggregation. This research work presents the comparison of the proposed framework on the CICIoT2023 dataset with federated averaging and federated proximal techniques for achieving a global model. The performance evaluation of these two aggregation techniques is performed based on metrics of accuracy, loss, precision and recall. The results prove that the federated proximal method achieves higher accuracy in comparison to the federated averaging method.

关键词： Performance evaluation Learning systems Accuracy Protocols Federated learning Prevention and mitigation Buildings

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