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检索条件"任意字段=International Conference on Engineering of Reconfigurable Systems and Algorithms"

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Deepfake Image and Video Detection Using Deep Learning algorithms

Deepfake Image and Video Detection Using Deep Learning Algor...

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2025 international conference on Multi-Agent systems for Collaborative Intelligence, ICMSCI 2025

作者： Srinivasan, Srivanth Nischitha, P. Chavan, Akshita Mohana Rv College of Engineering® Bengaluru India Rv College of Engineering® Bengaluru India

ISBN: (纸本)9798331509828

Deep learning (DL) algorithms are swiftly finding applications in computer vision and natural language processing. Nonetheless, they can also be employed for creating convincing deepfakes, which are challenging to distinguish from reality. The advancements in image and video technology and tools, especially on social media platforms, potentially lead to misuse for malicious purposes like blackmail or defamation. To tackle this issue, several group of researchers tried upon spreading or creating awareness on real or fake data. The proposed approach involves combining Deepfake generation using GANs and Autoencoders with a Deepfake detection method. The aim of this initiative is exclusively to combat disinformation and online fraud for the welfare of the general population. Deepfakes, products of AI, have become increasingly realistic, rendering it nearly difficult to distinguish the content. Auto-encoders with sufficient time can achieve about 92 % accuracy. As the generator improves, the discriminator performance worsens as it struggles to differentiate real or fake data. A perfect generator results in 50% accuracy. With advancements in computational capacity and data availability, the proposed DDM (Deepfake Detection Model) has achieved greater accuracy rate of up to 92.3%. © 2025 IEEE.

关键词： Adversarial machine learning

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A Robust DOA Estimation Algorithm for Impulsive Noise based on Improved Phased Fractional Lower-order Moments 16

A Robust DOA Estimation Algorithm for Impulsive Noise based ...

引用

16th international conference on Signal Processing systems, ICSPS 2024

作者： Liu, Hao Dong, Xudong Zhang, Yongkui Huang, Xiaofeng School of Communication Engineering Hangzhou Dianzi University Hangzhou310018 China

ISBN: (纸本)9781510689251

Traditional DOA estimation algorithms frequently exhibit a lack of robustness, as they are typically based on the assumption of Gaussian noise, which struggles to account for the non-Gaussian characteristics and intensity of impulsive noise, leading to significant performance degradation. In order to address this limitation, this paper proposes a direction of arrival (DOA) estimation algorithm based on sign phased fractional lower-order moments (SPFLOM). This algorithm combines the sign function with phased fractional lower-order covariance estimation methods. First, the sign function normalizes the received data, and then the PFLOM operator applies, effectively suppressing impulsive noise while preserving useful information. Compared to other MUSIC algorithms based on fractional lower-order statistics (FLOS), this method exhibits stronger robustness in heavy-tailed noise environments and low signal-to-noise ratio conditions. The use of non-uniform arrays can also improve the accuracy of DOA estimation under heavy-tailed alpha ***, to further enhance the algorithm's performance, this paper extends the SPFLOM algorithm to the nested arrays and proposes the SS-SPFLOM-MUSIC algorithm. Simulation experiments validate the broad applicability and effectiveness of this algorithm across impulsive noise environments. © 2025 SPIE.

关键词： Impulse noise

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Area and Power Efficient Modified Karatsuba Multiplier for Error-Free Cryptography algorithms 1

Area and Power Efficient Modified Karatsuba Multiplier for E...

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1st international conference on Intelligent systems and Computational Networks, ICISCN 2025

作者： Neelima, K. Hemalatha, Kanumuri Bhavana, Nagella Karthik, Parapu Kumar, Satrapu Sai Mohan Babu University Erstwhile Sree Vidyanikethan Engineering College Department of Ece Tirupati India Sree Vidyanikethan Engineering College Department of Ece Tirupati India

ISBN: (纸本)9798331529246

Data security and authentication are critical in cryptography, especially in elliptic curve cryptography (ECC), where usage of efficient finite field multipliers becomes essential. However, these multipliers consume significant hardware resources and impact performance. This paper investigates the Karatsuba algorithm and its variants to improve hardware efficiency on FPGA devices. While the overlap-free Karatsuba algorithm enhances performance. They introduce 20% errors due to issues in recombining intermediate results. To address this, a modified Karatsuba algorithm is proposed for error-free computation of four key outputs for 2-bit inputs. Implemented in Verilog HDL and evaluated on Artix-7 FPGA, the modified design reduces area usage by 95% and power consumption by 73.95% compared to the original Karatsuba algorithm. Although it shows a 3.22% increase in area and 11.12% in power compared to the overlap-free version, it significantly improves overall efficiency while ensuring accuracy. © 2025 IEEE.

关键词： Encryption algorithms

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Exploring potential predictors of psychological distress among employees: A Generalized ARC-GRU Based Model

Exploring potential predictors of psychological distress amo...

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2024 international conference on Intelligent algorithms for Computational Intelligence systems, IACIS 2024

作者： Vasanti, G. Karthi, R. Bisht, Amisha Rao, B. Srinivasa Thulasimani, T. Vasuki, S. Aditya Institute of Technology and Management Department of Basic Science and Humanities Tekkali India E.G.S. Pillay Engineering College Department of Management Studies Nagapattinam India Department of Humanities and Social Sciences Dehradun India Gokaraju Rangaraju Institute of Engineering and Technology Department of Computer Science Engineering Hyderabad India Bannari Amman Institute of Technology Department of Mathematics Sathyamangalam India M.Kumarasamy College of Engineering Department of Electronics and Communication Engineering Karur India

ISBN: (纸本)9798350360660

It seems to have an increase in employee reports of psychological distress across a wide range of industries. Research from the past indicates that a significant portion of the global workforce has dealt with emotional and mental health challenges. The worker's physical, social, and occupational functioning could be negatively impacted if these concerns are not addressed sooner. The three steps that make up this suggested approach are preprocessing, feature extraction, and model training. Factorization is a part of data preprocessing that involves encoding input values into categorical variables, which are also known as enumerated types. Data visualization, training speed, accuracy, and overfitting prevention are all enhanced by feature extraction. In order to train the model, a Generalized ARC-GRU was utilized. Traditional methods, such as GRU and GARC, are surpassed by the suggested methodology. After applying the method, the accuracy increased by 91.48 percent. © 2024 IEEE.

关键词： Social psychology

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Improving Wireless Communication through Beamwidth Optimization in reconfigurable Intelligent Surfaces 10

Improving Wireless Communication through Beamwidth Optimizat...

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10th international conference on Wireless Networks and Mobile Communications, WINCOM 2023

作者： Sikander, Marriam Butt, Faran Awais Chattha, Jawwad Nasar Naqvi, Ijaz Haider Department of Electrical Engineering Lahore Pakistan Department of Electrical Engineering Lahore Pakistan

ISBN: (纸本)9798350329674

reconfigurable Intelligent Surfaces (RIS) have emerged as a promising technology to enhance wireless communication systems by leveraging the propagation environment. This paper introduces a novel approach to optimize the beamwidth of RIS for mitigating intra-beam interference. The proposed framework aims at achieving efficient beamforming while maintaining low interference levels. The optimization problem is formulated as a convex task, seeking to minimize the RIS beam pattern's beamwidth while ensuring precise alignment with the desired signal. To prevent interference with other beams, a constraint is imposed on sidelobe levels outside the main beam. Simulation results demonstrate the efficacy of our approach in beamwidth optimization and interference mitigation for both indoor and outdoor communication scenarios. The optimized RIS showcases its ability to improve signal quality and minimize interference in real-world wireless environments, highlighting its potential as a key technology for future wireless communication systems. This advancement holds the promise of increased spectral efficiency and improved network performance. © 2023 IEEE.

关键词： Beamforming

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IoT Wearable Medical Device for Heart Disease Recognition Based Ml and Dl: A Bovw Based MDCNN Classification Approach

IoT Wearable Medical Device for Heart Disease Recognition Ba...

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2024 international conference on Intelligent algorithms for Computational Intelligence systems, IACIS 2024

作者： Arunachalam, N. Devi, S. Rukmani Niyas Ahamed, A. Nazrin Salma, S. Meikandan, M. Srm Madurai College for Engineering and Technology Department of Mechanical Engineering Sivagangai India Saveetha University Saveetha College of Liberal Arts and Sciences Saveetha Institute of Medical and Technical Sciences Department of Cse Chennai India Thamirabharani Engineering College Department of Ece Tirunelveli India Thamirabharani Engineering College Department of Eee Tirunelveli India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Mechanical Engineering Chennai India

ISBN: (纸本)9798350360660

Backgrounnd: Early detection and treatment of cardiac disease can improve the prognosis globally. However, the necessary vast data poses a challenge to the current automatic heart disease diagnosis methods. In this research, a medical gadget that uses the Internet of Things to gather patient cardiac data both before and after heart disease is introduced. Accurate and precise classification of health data is essential for the timely diagnosis of cardiac diseases. The Modified Deep Convolutional Neural Network (MDCNN), a very powerful technique for categorizing medical data, especially in hospitalized patients, was utilized in this work. We applied the Bag of Visual Words (BOVW) algorithm to improve feature selection, and our experimental studies showed a notable increase in classification accuracy. The outcomes verified that the suggested BOVW-based MDCNN model performed remarkably well in predicting cardiac diseases, with a limit exactness of 98.77% and a precision of 98.1%. © 2024 IEEE.

关键词： Convolutional neural networks

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Innovative Wireless Communication Solutions: IoT Mobility in Smart Cities, and 5G-V2X Resource Management 3

Innovative Wireless Communication Solutions: IoT Mobility in...

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3rd international conference on Electronics and Renewable systems, ICEARS 2025

作者： Tamilselvi, M. Saveetha School of Engineering Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798331509675

In this article, an Innovative Wireless Communication Solutions - 5G Resource Management (IWCS-5GRM) model is developed for healthcare and vehicular communication systems. The treatment process involves the use of an Artificial Pancreas Device (APD), which integrates Continuous Glucose Monitoring (CGM), insulin pumps, and Internet of Things (IoT) technology to automate glucose management. This device mimics the functions of a healthy pancreas, providing real-time monitoring of glucose and insulin regulation, improving diabetes management, and enabling remote treatment. When it communicates with vehicles, the model uses vehicle-to-vehicle (V2V) communication systems with transceivers, algorithms of Virtual Traffic Lights (VTL), and Dedicated Short Range Communication (DSRC) to improves data traffic, diminish data collision, and improvise traffic safety. Experimental evidence indicates that the ns3 simulation environment exhibits a significant performance improvement when compared to current protocols, including EIFV, EEFM, and UVAC. By achieving lower routing load, increased packet transmission speed, network capacity, lower Routing burden, and improved data transfer, IWCS-5GRM is highly regarded for its usefulness in both traffic management and healthcare. This comprehensive approach combines advanced IoT technologies with custom algorithms to optimize system performance and user satisfaction in various application scenarios. © 2025 IEEE.

关键词： Resource allocation

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Game theory approaches for Radio Access Technology Selection Algorithm: A Review

Game theory approaches for Radio Access Technology Selection...

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2024 international conference on Science, engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024

作者： Ariba, Folashade Adeyemo, Zacheeus Ojo, Festus Landmark University Omu-Aran Department of Electrical and Information Engineering Omu-Aran Nigeria Ladoke Akintola University of Technology Department of Electronics and Electrical Engineering Ogbomosho Nigeria

ISBN: (纸本)9798350358155

In wireless communication systems, choosing the right Radio Access Technology (RAT) is essential to maximizing network performance and guaranteeing a flawless user experience. The area of wireless communications for RAT optimization and selection has recently received tremendous attention from researcher community. Thus, selection of RAT has been facing challenges such as user allocation to the most suitable RAT and operator revenue management. To cope with those challenges, techniques based on game theory have come to light as potentially useful resources for developing RAT selection algorithms. This paper emphasizes the possible advantages and solutions of game theory in relation to RAT selection algorithms. We gave the summary of existing works and discussed the application of game theory in relation to RAT selection. In this paper, we identify the main problems in RAT selection algorithms, and we propose a method for solving them using game theory. Finally, implementation of how game theory in future work can improve the decision-making process and increase the efficacy and efficiency of RAT selection algorithms in heterogeneous wireless networks was discussed. © 2024 IEEE.

关键词： Decision making

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international conference on Applications in Electronics Pervading Industry, Environment and Society, APPLEPIES 2022

International Conference on Applications in Electronics Perv...

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international conference on Applications in Electronics Pervading Industry, Environment and Society, APPLEPIES 2022

ISBN: (纸本)9783031303326

The proceedings contain 52 papers. The special focus in this conference is on Applications in Electronics Pervading Industry, Environment and Society. The topics include: Analysis, Design and Synthesis of an Execution Tracing Unit (ETU) Based on AUTOSAR Run-Time Interface (ARTI);a Side Channel Attack Methodology Applied to Code-Based Post Quantum Cryptography;A 2 GHz Wide Tuning Range LC-Tank Digitally Controlled Oscillator in 28 nm CMOS Technology;Affordance Segmentation Using RGB-D Sensors for Application in Portable Embedded systems;ML-Based Classifier for Precision Agriculture on Embedded systems;deep Reinforcement Learning for Automated Car Parking;Machine Learning Techniques for Anomaly-Based Detection System on CSE-CIC-IDS2018 Dataset;AI-Based Sound Event Detection on IoT Nodes: Requirements Evaluation;contextual Bandits algorithms for reconfigurable Hardware Accelerators;efficient Uploading *** Datasets into a Non-Relational Database Management System;low-Cost Lithium-Ion Battery Characterization Setup Based on Auxiliary Batteries;model-Based Vital Control Architecture for Highly Automated Train Operations;exposure of the Human Head to 5G Electromagnetic Radiations: Modeling and Analysis;a Short-Range Free-Space Optical Communication System for Space-Assembled Microsatellites;A Low-Area, Low-Power, Wide Tuning Range Digitally Controlled Oscillator for Power Management systems in 28 nm CMOS Technology;sorting of Live/dead Escherichia Coli by Means of Dielectrophoresis for Rapid Antimicrobial Susceptibility Testing;soluble Mandrel Technology to Produce Parts in Composite Material for Formula 1;A reconfigurable 2D-Convolution Accelerator for DNNs Quantized with Mixed-Precision;diagnostic Analytics for Pixelated Particle Detectors: A Case Study;developing a Toolchain for Synthetic Driving Scenario Datasets;microcontroller Based Edge Computing for Pipe Leakage Detection;ticketing systems for Smart Public Transportation: Tools at the User Side;Debris Detection

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On Sum Rate Maximization of STAR-RIS Assisted Underlay D2D-NOMA System with Energy Harvesting 18

On Sum Rate Maximization of STAR-RIS Assisted Underlay D2D-N...

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18th IEEE international conference on Advanced Networks and Telecommunications systems, ANTS 2024

作者： Chauhan, Pranjul S. Jose, Justin Halder, Granthik Lall, Brejesh Brida, Peter Bhatia, Vimal IIT Department of Electrical Engineering Indore453552 India Iiser Department of Mathematics Kolkata741246 India IIT Department of Electrical Engineering Delhi110016 India University of Zilina Department of Electrical Engineering and Information Technology Zilina Slovakia

ISBN: (纸本)9798350391725

In the recent years, simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) has garnered significant research attention due to its ability to overcome the half-space coverage limitations of the conventional RIS. In this paper, we investigate a STAR-RIS and non-orthogonal multiple access (NOMA) assisted device-to-device (D2D) communication system underlaying a cellular network with a multi-antenna base station (BS). Additionally, the D2D transmitter functions in full-duplex (FD) mode and employs simultaneous wireless information and power transfer (SWIPT) to harvest energy from the BS. For the considered system model, we address the optimization problem aimed at maximizing the sum rate of the D2D receivers, taking into account practical scenarios such as non-linear energy harvesting and residual self-interference (RSI). The particle swarm optimization (PSO) has gained attention to solve this type of optimization problem of wireless communication. The results demonstrate performance improvements over conventional RIS, orthogonal multiple access (OMA) techniques, and other baseline optimization algorithms such as multi-armed bandit and deep Q-networks. Additionally, various other system design insights are provided. © 2024 IEEE.

关键词： Energy harvesting

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