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4th IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2024

作者： Lin, Fei Zhang, Tengchao Ma, Siji Huang, Jun Song, Ping Li, Juanjuan Macau University of Science and Technology Faculty of Innovation Engineering 999078 China Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Beijing100190 China

ISBN: (纸本)9798350349252

This paper provides an in-depth analysis of the application of the Quadratic Funding (QF) mechanism in blockchain-based Decentralized Autonomous Organizations (DAOs) of the QF mechanism. Then, the empirical analysis on the influence of QF on promoting project funding is examined, taking the first round of BNB funding on the DoraHacks platform as the exemplar. The focus has been put on its performance on community voting and fund allocation as well as its real-world impact. Finally, based on the analysis results, the paper proposes improvements to the QF mechanism and presents forward-looking strategies for applying Large Language Models (LLMs) in decentralized decision-making. These insights provide valuable perspectives for understanding and optimizing Decentralized Finance (DeFi). © 2024 IEEE.

关键词： Decentralized finance

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Exchange Strategies for Multi-Colony Ant Algorithms in Dynamic Environments 13

Exchange Strategies for Multi-Colony Ant Algorithms in Dynam...

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13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Mavrovouniotis, Michalis Li, Changhe Yazdani, Danial Handjimitsis, Diofantos Eratosthenes Centre of Excellence Limassol Cyprus Cyprus University of Technology Department of Civil Engineering and Geomatics Limassol Cyprus School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China University of Technology Sydney Faculty of Engineering & Information Technology Sydney Australia

ISBN: (纸本)9798350308365

In dynamic optimization problems where optimal solutions change over time, traditional ant colony optimization (ACO) algorithms face limitations. This study explores the adaptation of multi-colony ACO algorithms, known for their enhanced search capabilities in stationary problems, to tackle optimization problems in dynamic environments. Various strategies for exchanging information between colonies, which is a critical factor influencing algorithm performance, are investigated. Using the dynamic traveling salesman problem as a foundation, we generate test cases to reflect real-world complexities. Our results on a set of problem instances reveal that the choice of communication strategy between colonies significantly impacts the adaptability and efficiency of multi-colony ACO algorithms in tracking moving optimum. © 2024 IEEE.

关键词： Ant colony optimization

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Robustness of low light lensless imaging with camera noise 14

Robustness of low light lensless imaging with camera noise

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Holography, Diffractive Optics, and Applications XIV 2024

作者： Liu, Yuwei Zeng, Tianjiao Zhan, Xu Zhang, Wensi Zhang, Xiaoling The Key Laboratory on Adaptive Optics Chinese Academy of Sciences Chengdu China School of Information and Communication Engineering University of Electronic Science and Technology of China West Hi-Tech Zone Chengdu China

ISBN: (纸本)9781510682085

In this paper, we evaluate the noise sensitivity of mask based lensless imaging by analysing how much information is lost due to camera noise in low-light conditions. A noise model based on a lensless imaging system under lowlight conditions is presented for noise analysis in lensless imaging. The structure utilises the noise-free point spread function (PSF) of a diffuser-based lensless system to generate a noisy PSF from a camera in a real-world low-light environment. We then use a statistical approach to observe how the amount of mutual information between the noiseless and the noisy PSF's is affected with the enhancement of camera noise. We performed the same simulation for comparison with lens-based imaging. We demonstrate that the proposed model and the mask based lensless imaging system exhibits better robustness than the lens-based imaging system in low-light environments. © 2024 SPIE. All rights reserved.

关键词： Optical transfer function

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Hybrid Sine Cosine and Stochastic Fractal Search for Hemoglobin Estimation

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Computers, Materials & Continua 2022年第8期72卷 2467-2482页

作者： Marwa M.Eid Fawaz Alassery Abdelhameed Ibrahim Bandar Abdullah Aloyaydi Hesham Arafat Ali Shady Y.El-Mashad Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Mechanical Engineering Department Qassim UniversityBuraidah51452Saudi Arabia Department of Computer Systems Engineering Faculty of Engineering at ShoubraBenha UniversityEgypt

The sample’s hemoglobin and glucose levels can be determined by obtaining a blood sample from the human body using a needle and analyzing ***(HGB)is a critical component of the human body because it transports oxygen from the lungs to the body’s tissues and returns carbon dioxide from the tissues to the *** the HGB level is a critical step in any blood analysis *** often indicate whether a person is anemic or polycythemia *** ensemble models by combining two or more base machine learning(ML)models can help create a more improved *** purpose of this work is to present a weighted average ensemble model for predicting hemoglobin *** optimization method is utilized to get the ensemble’s optimum *** optimum weight for this work is determined using a sine cosine algorithm based on stochastic fractal search(SCSFS).The proposed SCSFS ensemble is compared toDecision Tree,Multilayer perceptron(MLP),Support Vector Regression(SVR)and Random Forest Regressors as model-based approaches and the average ensemble *** SCSFS results indicate that the proposed model outperforms existing models and provides an almost accurate hemoglobin estimate.

关键词： Sine cosine optimization metaheuristics optimization hemoglobin estimation weight average ensemble

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Facial Attendance Tracker using Enhanced Mean Local Binary Pattern

Facial Attendance Tracker using Enhanced Mean Local Binary P...

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Trends in Quantum Computing and Emerging Business Technologies (TQCEBT), International Conference on

作者： Charanya R Arnold David Jayasurya Krithika L B School of Computer Science Engineering and Information Systems Vellore Institute of Technology Vellore India

ISBN: (数字)9798350384277

ISBN: (纸本)9798350384284

Facial Attendance Tracker is a mobile application where a student can fetch his/her attendance by scanning his/her face from his/her own mobile. The faculty will project the Dynamic QR code when he/she wants to take the attendance. The students have to login into the mobile application using the login credentials and scan the dynamic QR code provided by the faculty. Once, the QR code is scanned successfully, it will redirect to the camera where the student can fetch his/her face. The system comprises of acquiring the image, followed by sending the image to the database, detection of face, pre-processing, extraction of features, classifying the features and post- processing stage. To detect the face from the image, Viola-Jones algorithm has been used and Enhanced Mean Local Binary Pattern (EMLBP) algorithm is used to extract features as it outperforms the other algorithms in a huge margin.

关键词： Quantum computing Databases QR codes Feature extraction Market research Cameras Classification algorithms

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Analysis of Light-Weight Cryptography Algorithms for UAV-Networks

arXiv

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arXiv 2025年

作者： Patel, Aanchal Cherukuri, Aswani Kumar School of Computer Science Engineering and Information Systems Vellore Institute of Technology Vellore632014 India

Unmanned Aerial Vehicles (UAVs) are increasingly utilized across various domains, necessitating robust security measures for their communication networks. The ASCON family, a NIST finalist in lightweight cryptography standards, is known for its simplistic yet resilient design, making it well-suited for resource-constrained environments characterized by limited processing capabilities and energy reservoirs. This study focuses on understanding the integration and assessment of the ASCON encryption algorithm in UAV networks, emphasizing its potential as a lightweight and efficient cryptographic solution. The research objectives aim to evaluate ASCON variants' effectiveness in providing security comparable to AES-128 while exhibiting lower computational cost and energy consumption within simulated UAV network environments. Comparative analysis is conducted to assess performance metrics such as encryption and decryption speeds, resource utilization, and resistance to cryptographic vulnerabilities against established algorithms like AES. The proposed architecture outlines the setup for evaluating ASCON and AES in a simulated UAV network environment, focusing on performance monitoring, security analysis, and comparative studies. Performance metrics including peak and average execution times, overall throughput, and security properties against various cryptographic attacks are measured and analysed to determine the most suitable cryptographic algorithm for UAV communication systems. Performance results indicate that ASCON-128a as the optimal choice for UAV communication systems requiring a balance between efficiency and security. Its superior performance metrics, robust security properties, and suitability for resource-constrained environments position it as the preferred solution for securing UAV communication networks. By leveraging the strengths of ASCON-128a, UAV communication systems can achieve optimal performance and security, ensuring reliable and secure communicati

关键词： Unmanned aerial vehicles (UAV)

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Sharp Results for Hypothesis Testing with Risk-Sensitive Agents

arXiv

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arXiv 2024年

作者： Shi, Flora C. Bates, Stephen Wainwright, Martin J. Laboratory for Information and Decision Systems Statistics and Data Science Center EECS Massachusetts Institute of Technology United States Laboratory for Information and Decision Systems Statistics and Data Science Center Mathematics Massachusetts Institute of Technology United States

Statistical protocols are often used for decision-making involving multiple parties, each with their own incentives, private information, and ability to influence the distributional properties of the data. We study a game-theoretic version of hypothesis testing in which a statistician, also known as a principal, interacts with strategic agents that can generate data. The statistician seeks to design a testing protocol with controlled error, while the data-generating agents, guided by their utility and prior information, choose whether or not to opt in based on expected utility maximization. This strategic behavior affects the data observed by the statistician and, consequently, the associated testing error. We analyze this problem for general concave and monotonic utility functions and prove an upper bound on the Bayes false discovery rate (FDR). Underlying this bound is a form of prior elicitation: we show how an agent’s choice to opt in implies a certain upper bound on their prior null probability. Our FDR bound is unimprovable in a strong sense, achieving equality at a single point for an individual agent and at any countable number of points for a population of agents. We also demonstrate that our testing protocols exhibit a desirable maximin property when the principal’s utility is considered. To illustrate the qualitative predictions of our theory, we examine the effects of risk aversion, reward stochasticity, and signal-to-noise ratio, as well as the implications for the Food and Drug Administration’s testing protocols. © 2024, CC BY.

关键词： Stochastic systems

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F-IKOS: An Abstract Interpretation-based Static Analyzer for Fortran Programs 12

F-IKOS: An Abstract Interpretation-based Static Analyzer for...

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12th International Workshop on Quantitative Approaches to Software Quality, QuASoQ 2024

作者： Zou, Sheng Chen, Liqian Fan, Guangsheng Huang, Renjie Yin, Banghu College of Computer Science and Technology National University of Defense Technology Changsha410073 China State Key Laboratory of Complex & Critical Software Environment Changsha410073 China College of Systems Engineering National University of Defense Technology Changsha410073 China

The Fortran programming language is widely utilized in numerical computation and scientific computing. Fortran programs are prone to potential runtime errors related to numerical properties due to the large number of numerical operations. In this paper, we present F-IKOS, an abstract interpretation-based static analyzer for Fortran programs on top of IKOS, which soundly handles floating-point types in Fortran programs. Firstly, we translate Fortran programs to LLVM IR using compiler front-end Flang. After that, we extend IKOS to support sound floating-point analysis and then employ it to analyze the translated LLVM IR. Particularly, when analyzing floating-point types in programs, we first abstract floating-point expressions into real-number expressions with interval coefficients, and then linearize these expressions into real-number expressions with scalar coefficients. These linear expressions are subsequently handled by abstract domains originally designed for real-number types to produce sound analysis results. We have conducted experiments on representative Fortran programs to show the efficiency and effectiveness of F-IKOS. The experimental results are encouraging: F-IKOS soundly analyzes runtime errors in complex programs, outperforming other analyzers. © 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： FORTRAN (programming language)

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A spatial attentive and temporal dilated(SATD)GCN for skeleton-based action recognition

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CAAI Transactions on Intelligence technology 2022年第1期7卷 46-55页

作者： Jiaxu Zhang Gaoxiang Ye Zhigang Tu Yongtao Qin Qianqing Qin Jinlu Zhang Jun Liu State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina State Grid Wuhan Power Supply Company WuhanChina Shenzhen Infinova Ltd.Company ShenzhenChina Information Systems Technology and Design Pillar Singapore University of Technology and DesignSingapore

Current studies have shown that the spatial-temporal graph convolutional network(STGCN)is effective for skeleton-based action ***,for the existing STGCN-based methods,their temporal kernel size is usually fixed over all layers,which makes them cannot fully exploit the temporal dependency between discontinuous frames and different sequence ***,most of these methods use average pooling to obtain global graph feature from vertex features,resulting in losing much fine-grained information for action *** address these issues,in this work,the authors propose a novel spatial attentive and temporal dilated graph convolutional network(SATD-GCN).It contains two important components,that is,a spatial attention pooling module(SAP)and a temporal dilated graph convolution module(TDGC).Specifically,the SAP module can select the human body joints which are beneficial for action recognition by a self-attention mechanism and alleviates the influence of data redundancy and *** TDGC module can effectively extract the temporal features at different time scales,which is useful to improve the temporal perception field and enhance the robustness of the model to different motion speed and sequence ***,both the SAP module and the TDGC module can be easily integrated into the ST-GCN-based models,and significantly improve their *** experiments on two large-scale benchmark datasets,that is,NTU-RGB+D and Kinetics-Skeleton,demonstrate that the authors’method achieves the state-of-the-art performance for skeleton-based action recognition.

关键词： classification. skeleton action

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Improving Performance of LDPC-Coded Links via Partial Superposition Retransmission

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Journal of Communications and information Networks 2022年第3期7卷 259-268页

作者： Yinchu Wang Qianfan Wang Ming Jiang Xiao Ma School of Computer Science and Engineering Sun Yat-sen UniversityGuangzhou 510006China Guangdong Key Laboratory of Information Security Technology Sun Yat-sen UniversityGuangzhou 510006China School of Electronics and Information Technology Sun Yat-sen UniversityGuangzhou 510006China

In this paper,we propose a transmission scheme for uplink and downlink transmissions,where the fifth generation(5G)low-density parity-check(LDPC)codes are implemented for error *** the proposed scheme,the acknowledgment(ACK)or negative acknowledgment(NACK)feedback information is transmitted along with the payload data by cyclically shifting coded sequence,while the re-transmitted codewords are superimposed(XORed)partially on the current *** distinguished feature of the proposed transmission scheme is that it requires neither extra transmission bandwidth nor extra transmission *** also propose to truncate the error patterns for the purpose of reducing the implementation complexity and reducing the error *** results show that the proposed scheme significantly outperforms conventional LDPC-coded *** the 5G LDPC code with length 1920 at the signal-to-noise ratio(SNR)of 1.3 dB,the word error rate(WER)of the data transmitted by the proposed scheme is about 10^(−4),while that of the conventional LDPC-coded transmission is about 10^(−2).

关键词： block Markov superposition transmission(BMST) 5G LDPC codes free-ride coding hybrid automatic repeat request(HARQ) partial superposition

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