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Identifying influential spreaders in social networks: A two-stage quantum-behaved particle swarm optimization with Lévy flight

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Chinese Physics B 2024年第1期33卷 743-754页

作者：卢鹏丽揽继茂唐建新张莉宋仕辉朱虹羽 Wenzhou Engineering Institute of Pump&Valve Lanzhou University of TechnologyWenzhou 325100China School of Computer and Communication Lanzhou University of TechnologyLanzhou 730050China

The influence maximization problem aims to select a small set of influential nodes, termed a seed set, to maximize their influence coverage in social networks. Although the methods that are based on a greedy strategy can obtain good accuracy, they come at the cost of enormous computational time, and are therefore not applicable to practical scenarios in large-scale networks. In addition, the centrality heuristic algorithms that are based on network topology can be completed in relatively less time. However, they tend to fail to achieve satisfactory results because of drawbacks such as overlapped influence spread. In this work, we propose a discrete two-stage metaheuristic optimization combining quantum-behaved particle swarm optimization with Lévy flight to identify a set of the most influential spreaders. According to the framework,first, the particles in the population are tasked to conduct an exploration in the global solution space to eventually converge to an acceptable solution through the crossover and replacement operations. Second, the Lévy flight mechanism is used to perform a wandering walk on the optimal candidate solution in the population to exploit the potentially unidentified influential nodes in the network. Experiments on six real-world social networks show that the proposed algorithm achieves more satisfactory results when compared to other well-known algorithms.

关键词： social networks influence maximization metaheuristic optimization quantum-behaved particle swarm optimization Lévy flight

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Efficient design of approximate adders for FPGAs

Efficient design of approximate adders for FPGAs

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2023 IEEE International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication engineering, RMKMATE 2023

作者： Yuktha sri, N.V. Sai Sunnel, A. Electronics and Communication Engineering School of Engineering and Technology Sri Padmavati Mahila Visvavidyalayam Tirupati India

ISBN: (纸本)9798350305708

In this paper, efficient design of approximate adders to effective utilization of the FPGA resources are proposed. The designs are proposed to analyze the differences between power, area and delay in the adders. The following are the approximate adders such as low error and area efficient approximate adder (LEADx), area and power efficient approximate adder (APEx) and high speed and power efficient approximate adder (HSPEx). This type of adders consists of two parts where the least significant part represents approximate adder and most significant part represents accurate adder. The purpose of the approximate adder is to lessen the power, area and delay in the adders. LEADx and APEx has more delay compared to HSPEx approximate adder. HSPEx significantly reduces more area compared to APEx and APEx reduces more area compared to LEADx approximate adder. The HSPEx approximate adder uses the inner stage input-output pipelining technique to reduce the use of LUTs and increase the speed of the adder whereas APEx adder uses truncation technique by fixing constant 1 to some of bits in the adder. Compared to other approximate adders the HSPEx adder absorbs relatively less power. The synthetization and simulation of the proposed method is performed using Xilinx VIVADO. © 2023 IEEE.

关键词： Approximate adder FPGA high speed low error LUT Pipelining Xilinx

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Blockchain Based Digital Identity Solution 2

Blockchain Based Digital Identity Solution

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2nd International Conference on Intelligent Data communication Technologies and Internet of Things, IDCIoT 2024

作者： Sreenath, G. Sridhar, Gowri T Sannabhadti, Aditya A Robin Mercy, S.J. Kounte, Manjunath R School of Electronics and Communication Engineering REVA University Bengaluru India

ISBN: (纸本)9798350327533

Digital identity is crucial to the growth and profitability of the digital economy, as well as the growth and profitability of every organization and industry. Identity management software is typically meant to assist you in managing digital identities. In real-world applications, authentication and other activities are frequently employed. In recent years, attempts have been made to create block-chain-based identity management solutions that allow users to take control of their identity. Blockchain-based solutions have the potential to increase the efficiency of public and private sector government operations and service delivery. Blockchain has the potential to decrease expenses and fraud while improving customer service. Blockchain data is cryptographically linked and dispersed across several computers, making manipulation practically difficult. Block-chain technology can pave the way for digital identities in decentralized networks while preserving privacy, trust, and security, and it is the best and most secure platform for developing digital identity. However, the current identity management system is neither secure nor dependable. To solve the current limitations/difficulties, the Ethereum block-chain is utilized in this project to securely store identity data and share the approved identity data with applications, making it safer for users, removing the difficulty in verification, and making it fraud-proof. © 2024 IEEE.

关键词： Blockchain Cryptography Digital identity Ethereum Internet of Things

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Development of a Annular Ring Patch Antenna with Circular Polarization for Next-Generation GAGAN Receivers Application in GPS-Aided GEO-Augmented Navigation 10

Development of a Annular Ring Patch Antenna with Circular Po...

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10th International Conference on Advanced Computing and communication Systems, ICACCS 2024

作者： Neha, Arava Devisowjanya, P. Shakti Abhirami, B. Amrita School of Engineering Amrita Vishwa Vidyapeetham Department of Electronics and Communication Engineering Chennai India Sri Sivasubramaniva Nadar College of Engineering Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798350384369

This paper presents a pioneering antenna design, optimized for both space efficiency and exceptional performance in the L-band frequencies utilized by GPS systems. This antenna is built specifically for GAGAN receivers. It works on the vital Ll (1.5754 GHz) and L5 (1.1764 GHz) bands, meaning it can receive both frequencies with just one antenna element. Additionally it exhibits good performance at 1.7 GHz, suggesting potential for future GNSS applications in other frequency bands. This single-feed design makes it compact and efficient. To make sure it catches weak signals well, it uses circular polarization, which is like having a 360-degree net for radio waves. The central component of the design is an annular ring patch antenna, which has a unique construction consisting of two concentric rings made of small strips. When combined with a ground plane cross slot, this design improvement brings about increased gain. This optimized design not only delivers efficient circular polarization in the L-band but also showcases potential for adaptation to future GNSS developments operating in other frequencies, demonstrating its inherent flexibility. Notably, the antenna's compact size, effective dual-band functioning, and ability to produce circular polarisation make it ideal for (GAGAN) receivers operating in the L-band. This versatile design not only excels in the L-band but also holds promise for potential future adaptations to accommodate evolving GNSS requirements in other frequency bands. © 2024 IEEE.

关键词： Slot antennas

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Remote Health Monitoring and Alert Network System 2

Remote Health Monitoring and Alert Network System

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2nd IEEE International Conference on Device Intelligence, Computing and communication Technologies, DICCT 2024

作者： Surya Kranthi Vardhan, B. Praful Ranganath, K. Chaurasiya, Rajneesh Amrita School of Engineering Department of Electronics & Communication Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350372847

This paper demonstrates a remote health monitoring and alert system that integrates a gyroscope for precise fall detection and a pulse oximeter for heart rate (HR) and blood oxygen saturation (Sp02) level tracking. Whenever an abnormality is found in a patient's health, the alert system notifies the healthcare professionals immediately. This system can potentially allow for continuous health monitoring for multiple patients. The Internet of Things (IoT) ensures patient mobility and comfort while facilitating timely medical interventions. We demonstrated this system on five people and reported their medical parameters. The outcomes of this system suggest that it has a vast potential to develop the hardware to monitor the health parameters of the elderly and high-risk patients. © 2024 IEEE.

关键词： Gyroscopes

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Privacy-preserving explainable AI: a survey

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Science China(Information Sciences) 2025年第1期68卷 23-56页

作者： Thanh Tam NGUYEN Thanh Trung HUYNH Zhao REN Thanh Toan NGUYEN Phi Le NGUYEN Hongzhi YIN Quoc Viet Hung NGUYEN School of Information and Communication Technology Griffith University School of Computer and Communication Sciences Ecole Polytechnique Federale de Lausanne Faculty of Mathematics and Computer Science University of Bremen Faculty of Information Technology HUTECH University Department of Computer Science Hanoi University of Science and Technology School of Electrical Engineering and Computer Science The University of Queensland

As the adoption of explainable AI(XAI) continues to expand, the urgency to address its privacy implications intensifies. Despite a growing corpus of research in AI privacy and explainability, there is little attention on privacy-preserving model explanations. This article presents the first thorough survey about privacy attacks on model explanations and their countermeasures. Our contribution to this field comprises a thorough analysis of research papers with a connected taxonomy that facilitates the categorization of privacy attacks and countermeasures based on the targeted explanations. This work also includes an initial investigation into the causes of privacy leaks. Finally, we discuss unresolved issues and prospective research directions uncovered in our analysis. This survey aims to be a valuable resource for the research community and offers clear insights for those new to this domain. To support ongoing research, we have established an online resource repository, which will be continuously updated with new and relevant findings.

关键词： privacy-preserving explainable AI privacy attacks privacy defences PrivEx PPXAI

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Outbreak of Glacier in Antarctica: Iceberg Movement Analysis using SAR Images 2

Outbreak of Glacier in Antarctica: Iceberg Movement Analysis...

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2nd IEEE Global Conference on communications and Information Technologies, GCCIT 2024

作者： Vijaya Geetha, R. Kalaivani, S. Dr. T. Thimmaiah Institute of Technology Department of Electronics & Communication Engineering India Vit University School of Electronics Engineering Vellore India

ISBN: (数字)9798350388916

ISBN: (纸本)9798350388916

Glacier displacement is cause of crisis environmental change. Glacier razes due to high impact of tsunami wave in Tohuku have triggered to continue giant hit on Sulzberger ice shelf of Antarctica. Synthetic aperture radar (SAR) satellites used for regular tracking system to monitor the disaster effects. SAR is atmospheric convenience system could work in all weather conditions. The bounce of electromagnetic signals collects multiplicative noise named as speckle and is in need to reduce. Multitemporal images are implemented to find iceberg displacements using un-decimated discrete wavelet transform. Difference images are segmented by two-level clustering method to differentiate class distribution. This experiment provided prominent accuracy of 97.77% with exact boundaries. © 2024 IEEE.

关键词： Discrete wavelet transforms

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Enhanced Video Mosaic Generation: Efficient ORB Feature Extraction and Hamming Distance Matching 2

Enhanced Video Mosaic Generation: Efficient ORB Feature Extr...

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2nd International Conference on Advanced Computing and communication Technologies, ICACCTech 2024

作者： Shridhar, H. Harakannanavar, Sunil S. Chetan, R. Kanabur, Vidyashree Jayalaxmi, H. Prashanth, C.R. Government Engineering College Department of Electronics and Communication Engineering Karnataka Haveri581110 India Nitte Meenakshi Institute of Technology Department of Electronics and Communication Engineering Karnataka Yelahanka Bangalore India Shri Madhwa Vadiraja Institute of Technology & Management Department of Electronics and Communication Engineering Karnataka Banakal Udupi India National Institute of Technology Department of Electronics and Communication Engineering Surathkal Mangalore575025 India Acharya Institute of Technology Department of Electronics and Communication Engineering Karnataka Bangalore560090 India S J B Institute of Technology Department of Electronics and Communication Engineering Karnataka Bangalore560060 India

ISBN: (纸本)9798331519056

Video mosaicing is a technique for creating expansive panoramic views by seamlessly combining multiple video frames. This paper introduces an innovative algorithm for video mosaic generation, emphasizing the alignment and blending of non-overlapping frames. The proposed algorithm utilizes the ORB feature extraction technique to effectively address challenges related to camera motion and content variations across frames, ensuring a smooth and continuous mosaic output. Key aspects of the algorithm include optimizing the number of feature matches for frame stitching, which critically impacts the final mosaic's quality. Experimental results demonstrate the algorithm's ability to produce visually coherent and high-quality video mosaics. The model has been tested on real-time video frames, showing improved performance of 95% of accuracy with lower RMSE and contributing to the advancement of video mosaicing techniques for applications in surveillance and other fields requiring comprehensive scene views. © 2024 IEEE.

关键词： Feature extraction

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Solutions to Overcome the Performance Attenuation of a Solar Panel Due to Shadowing 5

Solutions to Overcome the Performance Attenuation of a Solar...

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5th International Conference on Sustainable communication Networks and Application, ICSCNA 2024

作者： Manimaran, B. Mayathevar, Krishnamurthy Kabilamani, P. Nagarajan, P. Ashokkumar, N. Thandapani, Kavitha Rajalakshmi Institute of Technology Department of Electronics and Communication Engineering Tamilnadu Chennai600124 India PSNA College of Engineering and Technology Department of Electronics and Communication Engineering Tamilnadu Dindigul India SRM Institute of Science and Technology Department of Electronics and Communication Engineering Tamilnadu Chennai600026 India Mohan Babu University Erstwhile Sree Vidyanikethan Engineering College Department of Electronics and Communication Engineering Andra Pradesh Tirupati517102 India

ISBN: (纸本)9798331530013

Maximizing the PV array's output is a significant challenge that has been overcome. Under shading conditions, output extraction becomes more laborious because there is numerous local maxima but only one global maximum. Few algorithms can track the exact global maximum in this situation, despite the fact that various maximum power point tracking (MPPT) algorithms are utilized to track global maximum. To get much efficient output in this paper cuckoo search algorithm is used for MPPT under Partial Shading Condition that operates as metaheuristic concept which continuously samples the panel voltage & current. In first stage partial shading condition (PSC) is related and in second stage cuckoo algorithm is used for tracking Global Maximum Power Point (GMPP). In third stage zeta converter is used which has good input to output Dc insulation and buck boost capability. In stage fourth the output from converter is proposed PWM control for AC applications. The proposed system is shown Matlab/Simulink and output is verified successfully. © 2024 IEEE.

关键词： Maximum power point trackers

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Optimized Image Mosaicing Using ORB with Histogram Equalization for Real-Time Applications 2

Optimized Image Mosaicing Using ORB with Histogram Equalizat...

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2nd International Conference on Advanced Computing and communication Technologies, ICACCTech 2024

作者： Shridhar, H. Harakannanavar, Sunil S. Chetan, R. Kanabur, Vidyashree Jayalaxmi, H. Prashanth, R.C. Government Engineering College Department of Electronics and Communication Engineering Karnataka Haveri581110 India Nitte Meenakshi Institute of Technology Yelahanka Department of Electronics and Communication Engineering Karnataka Bangalore India Shri Madhwa Vadiraja Institute of Technology & Management Banakal Department of Electronics and Communication Engineering Karnataka Udupi India National Institute of Technology Surathkal Department of Electronics and Communication Engineering Mangalore575025 India Acharya Institute of Technology Department of Electronics and Communication Engineering Karnataka Bangalore560090 India S J B Institute of Technology Department of Electronics and Communication Engineering Karnataka Bangalore560060 India

ISBN: (纸本)9798331519056

Image mosaicing combines overlapping images of the same scene into a larger, seamless image. This work aims to develop a model that efficiently merges images while evaluating its performance in terms of runtime and the number of key features used. Histogram Equalization (HE) is applied to handle intensity variability, while key features are extracted using SIFT, ORB, and BRISK descriptors. K-Nearest Neighbor (KNN) matches the features, and homography is estimated using the RANSAC algorithm to align the images. A smoothing filter is applied to create the final panorama. Experimental results show that ORB with HE is the most efficient technique, using 500 key features and achieving a runtime of 0.0836 seconds. The average runtime of the entire image mosaicing process, from feature extraction to panorama generation, was significantly lower for ORB than for SIFT (0.45 seconds) and BRISK (0.30 seconds). The minimal runtime and reduced computational cost of ORB make it ideal for applications requiring real-time image stitching, such as video processing or live panoramic imaging. The proposed model addresses limitations in feature matching and offers improved performance in image mosaicing. © 2024 IEEE.

关键词： Equalizers

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