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2025 IEEE Wireless Communications and Networking Conference, WCNC 2025

作者： Li, Xinyue Behdad, Zinat Topal, Ozan Alp Demir, Özlem Tuǧfe Cavdar, Cicek Kth Royal Institute of Technology Department of Computer Science Stockholm Sweden Tobb Etu Department of Electrical-Electronics Engineering Ankara Turkey

ISBN: (纸本)9798350368369

Integrated sensing and communication (ISAC) boosts network efficiency by using existing resources for diverse sensing applications. In this work, we propose a cell-free massive MIMO (multiple-input multiple-output)-ISAC framework to detect unauthorized drones while simultaneously ensuring communication requirements. We develop a detector to identify passive aerial targets by analyzing signals from distributed access points (APs). In addition to the precision of the sensing, timeliness of the sensing information is also crucial due to the risk of drones leaving the area before the sensing procedure is finished. We introduce the age of sensing (AoS) and sensing coverage as our sensing performance metrics and propose a joint sensing blocklength and power optimization algorithm to minimize AoS and maximize sensing coverage while meeting communication requirements. Moreover, we propose an adaptive weight selection algorithm based on concave-convex procedure to balance the inherent tradeoff between AoS and sensing coverage. Our numerical results show that increasing the communication requirements would significantly reduce both the sensing coverage and the timeliness of the sensing. Furthermore, the proposed adaptive weight selection algorithm can provide high sensing coverage and reduce the AoS by 45% compared to the fixed weights, demonstrating efficient utilization of both power and sensing blocklength © 2025 IEEE.

关键词： Signaling

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A Comprehensive Evaluaion of Solar Powered Electric Vehicle Charging Station Design Using Internet of Things 1

A Comprehensive Evaluaion of Solar Powered Electric Vehicle ...

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1st International Conference on electronics, Communication and Signal Processing, ICECSP 2024

作者： Chitra, K. Gnanasekar, A. Ravi, C.N. Jaisudha, J. Ramya, R. Jithendar, P. CMR Institute of Technology Department of Electrical and Electronics Engineering Karnataka Bengaluru India R.M.D. Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai India CMR Engineering College Department of Computer Science and Engineering Hyderabad Medchal India Prince Shri Venkateshwara Padmavathy Engineering College Department of Electronics and Communication Engineering Tamil Nadu Chennai India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Nano Electronics Materials and Sensors Tamil Nadu Chennai India MLR Institute of Technology Department of Electrical and Electronics Engineering Hyderabad India

ISBN: (纸本)9798350364590

More than 1.3 million electric vehicles have been installed throughout the globe, and public charging networks for these vehicles are becoming increasingly common. It has been an area of interest to establish a plan for prioritizing the charging of electric vehicles (EVs) from a single network. This is particularly important in situations when the power source is restricted, such as with renewable energy, and for economic reasons (a higher price per KWh for quicker charging). When used in conjunction with electric vehicle (EV) charging, solar energy significantly decreases our reliance on fossil fuels. An electric car solar charger is created and constructed inside this system. In order to maximize the output from the solar panels, a dc-dc boost converter is used to transfer the voltage from the panels to the station's batteries. Maximum Power Point Tracking (MPPT) is also included. Power the charging station with energy from the solar panels so that the vehicle's rechargeable battery may be charged. The charging station's status can be monitored at any time via the Internet of Things. We have created a solar-powered charging station to provide simple accessibility. Solar power is both a sustainable and accessible renewable energy source. Arduino controller for light-dependent resistor (LDR) light intensity monitoring, solar cell energy observation, battery charging, and cloud storage. The core idea behind the article is the IoT Solar Charging Station (IoTSCS), and it is tested by comparing it to the Classical Solar Charging Station (CSCS), a more traditional scheme, in order to see how well the new scheme works. © 2024 IEEE.

关键词： Charging stations

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Secure Cancelable Template Based on Double Random Phase Encoding and Entropy Segmentation

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computers, Materials & Continua 2022年第11期73卷 4067-4085页

作者： Ahmed M.Ayoup Ashraf A.M.Khalaf Fathi E.Abd El-Samie Fahad Alraddady Salwa M.Serag Eldin Faculty of Engineering Electrical Engineering DepartmentMinia UniversityMinia61111Egypt Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenoufia32952Egypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif 21944Saudi Arabia

In this paper,a proposed cancellable biometric scheme is based on multiple biometric image identifiers,Arnold’s cat map and double random phase encoding(DRPE)to obtain cancellable biometric *** proposed segmentation scheme that is used to select the region of interest for generating cancelable templates is based on chaos entropy low correlation statistical *** objective of segmentation is to reduce the computational cost and reliability of template *** left and right biometric(iris,fingerprint,palm print and face)are divided into non-overlapping blocks of the same *** define the region of interest(ROI),we select the block with the highest *** shorten the registration process time and achieve a high level of security,we select 25%of the image volume of the biometric *** addition,the low-cost security requirement lies in the use of selective encryption(SE)*** step of selecting the maximum entropy is executed on all biometric *** maximum right and left multi-biometric blocks are arranged in descending order from the entropy perspective and select 50%of each biometric couple and store the single *** obtained matrix is scrambled with a certain number of iterations using Arnold’s Cat Map(ACM).The obtained scrambled matrix is encrypted with the DRPE to generate the cancellable biometric templates,which are further *** simulation results display better performance of the suggested cancellable biometric system in noise scenarios using the area under the receiver operating characteristic(AROC).The strength of the suggested technique is examined with correlation,irregular deviation,maximum difference and maximum *** recommended proposed approach shows that the ability to distinguish the authentic and imposter biometrics of user seven in different levels of the noise environment.

关键词： Image identifier computation segmentation ACM (DRPE)

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Model-Based Analysis of Factors Influencing Solar Energy Efficiency: Dust Accumulation and Shading Effects

Model-Based Analysis of Factors Influencing Solar Energy Eff...

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2024 IEEE Global Energy Conference, GEC 2024

作者： Tur, Mehmet Rida Padmanaban, Sanjeevikumar Hossain, Eklas Al-Hajj, Rami Wadi, Mohammed Shobole, Abdulfetah Department of Electrical and Electronic Engineering Batman University Batman Turkey Department of Electrical Engineering IT and Cybernetic University of SouthEastern Norway Porsgrunn Norway Department of Electrical and Computer Engineering Boise State University BoiseID United States College of Engineering and Technology American University of the Middle East Kuwait Department of Electrical and Electronics Engineering Istanbul Sabahattin Zaim University Turkey

ISBN: (纸本)9798331532611

Solar energy is widely regarded as the most significant renewable energy source, with photovoltaic (PV) cells serving as the primary component for electricity generation from solar radiation. Several factors influence the energy production efficiency of PV cells, including but not limited to, radiation levels, temperature, cable losses, dust accumulation, and shading. These factors are often interrelated, where one factor can exacerbate the impact of another. In this study, various parameters affecting solar efficiency were examined by integrating them into a model, with each factor analyzed individually. Real system data was collected, and the impact of dust accumulation on the panels was assessed by measuring its contribution to shading, which in turn reduces the amount of radiation absorbed by the photovoltaic cells. The study anticipates that similar outcomes will be observed in large-scale applications, which could play a crucial role in shaping future investment decisions. It is suggested that optimizing the tilt angle of the panels and ensuring regular rainfall can effectively reduce dust accumulation, thereby enhancing the overall system efficiency. ©2024 IEEE.

关键词： Radiation efficiency

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Blockchain-based smart and secured scheme for question sharing using bee colony optimization based quantum logistic map encryption

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International Journal of Information Technology (Singapore) 2023年第6期15卷 2889-2895页

作者： Nagarajan, B. Ananth, C. Mohananthini, N. Department of Computer and Information Science Annamalai University Chidambaram 608002 India Department of Electrical and Electronics Engineering Muthayammal Engineering College Rasipuram 637408 India

Question paper leaking (QPL) is a critical issue in the education sector conducting examinations. The recent advances in blockchain technology and computer vision techniques can be utilized to design a smart examination system which enables the secure sharing of examination papers. To accomplish secure question paper sharing (QSP), we develop a BC-assisted optimal share creation with an encryption-based QPS (BOSSE-QPS) scheme. The proposed BOSSE-QPS technique follows the share creation process which generates multiple shares of the input image. Next, the quantum logistic map (QLM) encryption technique with the bee colony optimization (BCO) algorithm is applied to encrypt the shares. Finally, the encrypted QSP is saved in a BC together with a smart contract which supports the clients in unlocking the chosen QSP. The design of the BCO algorithm for the key generation process and BC technology for the smart examination system shows the novelty of the work. To assure the betterment of the BOSSE-QPS technique, a detailed experimental analysis is performed. The comparative study has shown the better performance of the BOSSE-QPS algorithm over other recent models. © 2023, The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of computer Applications and Management.

关键词： Bee colony optimization Blockchain Optimal key generation Quantum logistic map Question paper sharing

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IoT Based Battery Monitoring System for Electric Vehicle using ESP32 2

IoT Based Battery Monitoring System for Electric Vehicle usi...

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2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023

作者： Usha Rani, R. Divya, G. Lakshmi Swarupa, M. Navaneetha, Kandle Department of Computer Science Engineering CVR College of Engineering Ibrahimpatnam Hyderabad India Department of Electrical and Electronics Engineering CVR College of Engineering Ibrahimpatnam Hyderabad India

ISBN: (纸本)9798350305418

Since the system is powered by the battery, it is the most vital part of any gadget. Incorrect or excessive charging or draining of the battery might damage the battery and lead to system failure, hence it is important to monitor the battery's voltage level. By far most of current electrical and electronic gear utilize a committed instrument called a battery the board framework (BMS). The battery the board framework (BMS) screens and controls the battery's fundamental capabilities such voltage, current, temperature, and auto-off. The appropriate and get treatment of lithium-particle or lithium-polymer batteries is guaranteed along these lines. More established BMS just observed the battery and notified the user when there was a problem. Thanks to IoT, however, we can now provide instantaneous alerts to far-flung targets. They may check the remaining juice from any location using their phones or computers. The goal is to demonstrate the viability of the idea's basic premise. The hardware for the battery monitoring device is developed as part of the system development. In this study, the battery status data is sent to the Arduino IoT cloud using an IoT-based battery monitoring system, node, and MCU using an ESP32 chip. Whether the battery is being charged or discharged, the Arduino IoT cloud will display the voltage and percentage of charge remaining. © 2023 IEEE.

关键词： Battery management systems (BMS) Battery Voltage Electric Vehicles Internet of Things Lithium-ion Batteries SoC measurement

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Automated Energy Monitoring System for Smart grids and Microgrids

Automated Energy Monitoring System for Smart grids and Micro...

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2023 IEEE Global Conference on Information Technologies and Communications, GCITC 2023

作者： Revathi, R. Keerthi Ragavendran, S. Dhamodharan, B. Harish, P.S. Thaiyub A, Ahamed Kpr Institute of Engineering and Technology Department of Electrical and Electronics Engineering Coimbatore India Kpr Institute of Engineering and Technology Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798350308167

The technical advancements in modernizing the world in every way possible have increased the usage of power and energy. Due to this, an increase in tariff, decrease in power quality, and frequent blackouts have increased every day because of traditional methods used in transmission lines. The proposed methodology addresses this drawback by offering the usage of advanced energy meters in smart grids and microgrids for efficient transmission of power and energy across every household and industry, improving power quality and reducing the chance of blackouts [1] significantly. This allows both the user and the utility to continuously monitor the energy usage, power factor, power quality, and load usage in real-time, to maintain the load balance in the grid. © 2023 IEEE.

关键词： Automated Energy Monitoring System (AEMOS) Facebook Prophet Micro Grid (MG) Smart Grid (SG)

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A Semi-Supervised Deep Learning Approach for Intrusion Detection and Classification for the Internet of Things

Biomedical Materials and Devices

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Biomedical Materials and Devices 2025年 1-17页

作者： Uthradevi, G. Thiruvasagam, P. Mythili, S. Manoj, S. Oswalt Department of Electronics and Communication Engineering Chennai Institute of Technology Tamil Nadu Kundrathur Chennai 600069 India Department of Electrical and Electronics Engineering Chennai Institute of Technology Tamil Nadu Kundrathur Chennai 600069 India Department of Biomedical Engineering PSNA College of Engineering and Technology Tamilnadu Dindigul 624622 India Department of Computer Science and Engineering Sri Krishna College of Engineering and Technology Tamil Nadu Kuniyamuthur 641008 India

Intrusion Detection Systems (IDS) are essential for protecting networks from cyber threats and ensuring the security of critical infrastructures. This paper introduces an innovative hybrid model that combines Deep Belief Networks (DBNs), Principal Component Analysis (PCA), and Support Vector Machines (SVM) with adversarial learning to enhance the detection of both known and emerging cyber threats. The proposed model achieves a strong balance of accuracy, efficiency, and scalability, making it highly effective for real-world applications. By incorporating adversarial learning, the system can detect zero-day exploits—previously unseen attacks—and adapt to evolving threats. This is achieved by training the model on adversarial samples, which improves its resilience to variations in attack patterns. SVM further enhances the model’s ability to classify known and unknown threats with high precision. The model was rigorously tested on two benchmark datasets, NSL-KDD and CICIDS2017, achieving outstanding results. It demonstrated a high accuracy rate of 99.73% on NSL-KDD and a low false positive rate of 0.55%, while on CICIDS2017, it achieved a false positive rate of 0.73%. The model also outperformed existing approaches in precision, recall, and F1-score, particularly in detecting complex attack types such as R2L (Remote-to-Local), U2R (User-to-Root), and Botnet attacks. Additionally, PCA reduced the feature space by 40%, significantly lowering the model’s inference time to just 9.0 ms per sample. This makes the model highly suitable for real-time intrusion detection in high-traffic network environments, where speed and efficiency are critical. Overall, this hybrid model strengthens cybersecurity defenses and contributes to building resilient infrastructures. By effectively detecting and mitigating cyber threats, it supports the creation of safer, fairer, and more inclusive digital communities. The integration of adversarial learning and dimensionality reduction ensures rob

关键词： Adversarial learning Cyber security Deep belief networks Dimensionality reduction Feature extraction IDS Networks PCA SVM

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Application of TQWT based filter-bank for sleep apnea screening using ECG signals

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Journal of Ambient Intelligence and Humanized Computing 2024年第1期15卷 893-904页

作者： Nishad, Anurag Pachori, Ram Bilas Acharya, U. Rajendra Discipline of Electrical Engineering Indian Institute of Technology Indore Indore453552 India Department of Electronics and Computer Engineering Ngee Ann Polytechnic Singapore599489 Singapore Department of Biomedical Engineering School of Science and Technology SIM University Singapore599491 Singapore Department of Biomedical Engineering Faculty of Engineering University of Malaya Kuala Lumpur50603 Malaysia

The sleep apnea is a disease in which there is the absence of airflow during respiration for at least 10 s. It may occur several times during the night sleep. This disease can lead to many types of cardiovascular diseases. To detect this disease, signals obtained from many channels of polysomnography are to be observed visually by physicians for the long duration. This procedure is expensive, time-consuming, and subjective. Hence, it is required to build an automated system to detect the sleep apnea with few channels. This paper uses single-lead electrocardiogram (ECG) signal to detect apneic and non-apneic events. The proposed method uses tunable-Q wavelet transform (TQWT) based filter-bank instead of TQWT to decompose the segment of ECG signal into several constant bandwidth sub-band signals. Then centered correntropies are computed from the various sub-band signals. The obtained features are then fed to the various classifiers to select the optimum performing classifier. In this work, we have obtained the highest classification accuracy, specificity, and sensitivity of 92.78%, 93.91%, and 90.95% respectively using random forest classifier. Hence, our developed prototype is ready for validation with the huge database and clinical usage. © Springer-Verlag GmbH Germany, part of Springer Nature 2018.

关键词： Filter banks

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Structural Health Monitoring System Using Liquid Metal Antenna via Zigbee Wireless Sensor Network 15

Structural Health Monitoring System Using Liquid Metal Anten...

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15th IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2023

作者： Fernandez, Edmon O. Dela Cruz, Jennifer C. Enriquez, Lejan Alfred C. Bautista, Arielle Jan L. Castillo, Alyssa Celine C. Saavedra, Justine Gerald V. Salanatin, Trisha M. Soriano, Toni Rose M. Bersamina, Juan Paulo L. Jorda, Romeo L. Monilar, Edmund G. Pascion, Cherry G. Ramos, John Peter M. School of Electrical Electronics and Computer Engineering Mapua University Philippines Technological University of the Philippines-Manila Electronics Engineering Department Manila Philippines

ISBN: (纸本)9798350381177

Structures such as roads and bridges are susceptible to experiencing heavy loads which may cause damage or failure. To determine the health of these structures manual inspection and measurements are done which can be inaccurate. To address this issue, the researchers developed a Structural Health Monitoring system that will track the strain imbued within the concrete using a liquid metal antenna, sensing unit, microcontroller, and a computer application. The strain in the concrete affects the resonant frequency of the embedded liquid metal antenna as it stretches or contracts which is then converted into voltage readings by the microcontroller through the sensing unit. Three similar but separate systems are connected to a computer via Wireless Sensor Network in star topology using Zigbee Technology for data acquisition. A computer application is also developed to generate reports of the strain detected by the respective sensors. Test results using the nano-Vector Network Analyzer to obtain the resonant frequency on the antenna and the developed system show a correlation of 0.8, 0.9 and 0.96 which implies a highly linear relationship. © 2023 IEEE.

关键词： Natural frequencies

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