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arXiv 2024年

作者： Scott, Matthew Mertzani, Asimina Smit, Ciske Sarkadi, Stefan Pitt, Jeremy Department of Electrical & Electronic Engineering Imperial College London United Kingdom Department of Informatics King’s College London United Kingdom

Self-organising multi-agent systems regulate their components’ behaviour voluntarily, according to a set of socially-constructed, mutually-agreed, and mutable social arrangements. In some systems, these arrangements may be applied with a frequency, at a scale and within implicit cost constraints such that performance becomes a pressing issue. This paper introduces the Megabike Scenario, which consists of a negotiated agreement on a relatively ‘large’ set of conventional rules, ‘frequent’ ‘democratic’ decision-making according to those rules, and a resource-bounded imperative to reach ‘correct’ decisions. A formalism is defined for effective rule representation and processing in the scenario, and is evaluated against five interleaved socio-functional requirements. System performance is also evaluated empirically through simulation. We conclude that to self-organise their social arrangements, agents need some awareness of their own limitations and the value of compromise. Copyright © 2024, The Authors. All rights reserved.

关键词： Multi agent systems

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Neural Multiple Description Image Coding with Semantic Polarization for Lossy Channels

Neural Multiple Description Image Coding with Semantic Polar...

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IEEE Conference on Wireless Communications and Networking

作者： Yajing Liu Weicheng Zhang Lingyu Chen Xuemin Hong Xianbin Wang School of Informatics Xiamen University Xiamen China Department of Electrical and Computer Engineering Western University London Canada

ISBN: (数字)9798350303582

ISBN: (纸本)9798350303599

Multiple description coding (MDC) is a type of error-resilient source coding that is advantageous for communications over channels with high loss and long delays. While neural network-based MDC promises higher compression efficiency and better semantic awareness, the aspect of semantic awareness is under-investigated. This paper is among the first efforts to study MDCs with competing performance goals known as the distortion-classification tradeoff. A new design concept called semantic polarization is proposed to contradict the traditional philosophy of balanced side encoder designs. We present a simple conceptual model to demonstrate the advantage of polarized MDC in having higher probabilities of satisfying at least one performance goal. We also propose a detailed implementation of polarized MDC based on SRGANs. Experiments on public datasets show that compared with state-of-the-art single description neural image codecs, the proposed MDC has multiple benefits in terms of enlarged rate range, superior semantic protection, and better perception quality, at the cost of slightly reduced but competitive distortion performance.

关键词： Measurement Image coding Costs Codecs Philosophical considerations Source coding Semantics

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Accurate and Efficient Code Matching Across Android Application Versions Against Obfuscation

Accurate and Efficient Code Matching Across Android Applicat...

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IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)

作者： Runhan Feng Zhuohao Zhang Yetong Zhou Ziyang Yan Yuanyuan Zhang Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (数字)9798350330663

ISBN: (纸本)9798350330670

In an effort to enhance the attractiveness of apps, developers consistently and frequently release updates to introduce new features and address known issues. Although frequent updates are beneficial for improving user experience, they also increase the workload for reverse engineers since existing analysis results may become obsolete after the release of a new version. Matching code across app versions can help reverse engineers quickly migrate existing analysis results to new versions, verifying whether their prior findings still hold in the new version. This allows them to focus more on the modified portions of the code, thus increasing reverse engineering efficiency. Nevertheless, existing techniques cannot effectively match the code of apps protected by obfuscation techniques, which are pervasively adopted in prac-tice. To address the challenges introduced by code obfuscation, this study presents MatchScope, a novel automated approach designed to match code at the method level across versions of Android app binaries. MatchScope effectively leveraging different levels of fine-grained code features, including class structures and method opcodes, etc., for similarity comparison, thus achieving high accuracy. To further enhance the matching efficiency, we design an index-aware matching algorithm, significantly reducing the scope and number of pairwise comparisons required compared with existing work. The critical insight of our algorithm lies in that the obfuscation tools usually rely on an incrementing index to generate obfuscated names for classes in a deterministic way. Our evaluation on 20 open-source and 60 real-world apps demonstrates the effectiveness of MatchScope. The precision and recall of MatchScope on the ground truth achieve 97.49 % and 92.34 %, respectively, which are 19.50 % and 30.74 % higher than the state-of-the-art tool.

关键词： Codes Accuracy Reverse engineering User experience Software Indexes

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On the Gaussian Filtering for Nonlinear Dynamic Systems Using Variational Inference 27

On the Gaussian Filtering for Nonlinear Dynamic Systems Usin...

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27th International Conference on Information Fusion, FUSION 2024

作者： Liu, Yi Li, Xi Yang, Le Mihaylova, Lyudmila Li, Ji University of Canterbury Department of Electrical and Computer Engineering Christchurch New Zealand National University of Defense Technology State Key Lab of Complex Electromagnetic Environment Effects on Electronics and Information Systems Changsha China University of Sheffield Department of Automatic Control and System Engineering Sheffield United Kingdom Locaris Electronic Technology Co. Ltd Zhengzhou China

ISBN: (纸本)9781737749769

This paper introduces a new variational Gaussian filtering approach for estimating the state of a nonlinear dynamic system. We first assume that the predictive distribution of the state is Gaussian and derive an iterative method for updating the state posterior in the natural parameter space through KullbackLeibler divergence minimization. The obtained update rule is the same as that of the conjugate-computation variational inference technique in Bayesian learning. The derivation here is simpler and more insightful. We then impose a Wishart prior on the inverse of the state prediction covariance to take into account the impact of approximating the state predictive distribution using a Gaussian density on the state posterior estimation. The prediction covariance is identified jointly with the state using variational inference and the established state posterior update rule to achieve the desired Gaussian filtering. Simulation study examines the performance of the proposed filtering framework in target tracking based on bearing and range measurements. © 2024 ISIF.

关键词： Wiener filtering

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Grating-assisted codirectional couplers for hybrid integration of active III-V on a normal SOI platform

Grating-assisted codirectional couplers for hybrid integrati...

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2024 IEEE Silicon Photonics Conference, SiPhotonics 2024

作者： Novitasari, Ika Lee, San-Liang National Taiwan University Of Science And Technology Department Of Graduate Institute Of Electro-Optical Engineering No.43 Sec.4 Keelung Road Taipei City10607 Taiwan National Taiwan University Of Science And Technology Department Of Electronic And Computer Engineering No.43 Sec.4 Keelung Road Taipei City10607 Taiwan

ISBN: (纸本)9798350394047

Feasibility of enhancing the energy transfer between active III-V waveguide and normal SOI waveguide for hybrid integration is verified using grating-assisted codirectional couplers (GACC). High coupling efficiency can be obtained by adding a GACC structure to compensate the phase mismatching between two highly asynchronous waveguides. © 2024 IEEE.

关键词： Silicon photonics

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Analyzing Land Cover and Land Use Changes Using Remote Sensing Techniques: A Temporal Analysis of Climate Change Detection with Google Earth Engine 22

Analyzing Land Cover and Land Use Changes Using Remote Sensi...

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22nd IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2023

作者： Afzal, Mozina Ali, Kamran Kasi, Mumraiz Khan Ur Rehman, Masood Khoshkholgh, Mohammad Ali Haq, Bushra Shah, Syed Ahmed Balochistan University of Information Technology Engineering and Management Sciences Quetta Pakistan Middlesex University Faculty of Science and Technology London United Kingdom Balochistan University of Information Technology Engineering and Management Sciences Department of Computer Science Quetta Pakistan University of Glasgow Department of Electronic Engineering Glasgow United Kingdom Lahore University of Management Sciences Lahore Pakistan

ISBN: (纸本)9798350381993

The detection of changes in land cover and land use (LCLU) is crucial for various geospatial applications, including urban development and environmental management. One vital aspect of LCLU research involves identifying modifications in impervious surface cover, which has significantly increased due to global economic growth and the rising urban population in many parts of the world. This investigation employs Landsat 9 OLI- 2/TIRS-2 imagery with a 30m spatial resolution to map structures in the Ziarat District of Pakistan, encompassing forests, water bodies, and barren land. It aims to detect changes in tree cover and canopy height. A time series of Landsat 9 OLI-2/TIRS-2 images were utilized to create change detection and land cover maps. The Analysis of Land Cover and Land Use (LCLU) for the Ziarat District was conducted using the GEE platform. The satellite images were classified into broad land cover classes, which include impervious surfaces, forest/tree cover, grassland/cropland, and water. The generated change detection map facilitates the identification of locations that have undergone modifications due to new constructions, offering valuable insights for the implementation of urban development policies and disaster management on a global scale. © 2023 IEEE.

关键词： Land use

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Fault Detection in Solar Power System with Internet of Things using Multi resolution Sinusoidal Neural Network - Snow Geese Optimization Approach 4

Fault Detection in Solar Power System with Internet of Thing...

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4th International Conference on Sustainable Expert Systems, ICSES 2024

作者： Kumar, Pramod Purushothaman, K.E. Arunmozhi, R.V. Jayachitra, S. Rani, D. Leela Kaliappan, S. Ganga Institute of Technology and Management Department of Computer Science and Engineering Haryana Kablana124001 India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Electronics and Communication Engineering Avadi Tamil Nadu Chennai600062 India Karpagam Academy of Higher Education Department of Electrical and Electronic Engineering Tamil Nadu Coimbatore641021 India S.A. Engineering College Department of Chemistry Tamil Nadu Chennai600077 India Department of Electronics and Communication Engineering Andhra Pradesh Tirupati517102 India Lovely Professional University Division of Research and Development Delhi Punjab Jalandhar144411 India

ISBN: (纸本)9798331540364

Fault detection in power systems, including Photovoltaic (PV) systems, using Internet of Things (IoT) involves deploying sensors to monitor key parameters and analyzing the data identify anomalies. The accuracy of these systems can be compromised by issues such as noisy or low-quality sensor data, which may lead to false positives or missed faults. Additionally, the complexity of managing large volumes of data from numerous IoT devices can strain the system, further affecting detection accuracy. To overcome these drawbacks, this paper proposes an efficient approach for fault uncovering in solar power system grounded on IoT. The data are collected from solar power generation dataset. Subsequently, the data are nourished to preprocessing. In preprocessing segment removes the absent values in the data utilizing Reverse Lognormal Kalman Filter (RLKF). The consequence after the preprocessing data is transported to the Multiresolution Sinusoidal Neural Network (MSNN). The line-line faults, ground faults, line-ground faults and partial shading are successfully predicted and classified by using MSNN. The Snow Geese Optimization (SGO) is rummage-sale to optimize the weight structure of MSNN. The projected MSNN-SGO is utilized within the MATLAB platform. Performance metrics counting precision, accuracy, Root Mean Squared Error (RMSE), F1-score, and Mean Squared Error (MSE) were examined in order to determine the proposed method. The proposed DAGCN-COA technique yields 14.89%, 16.89%, and 18.23% higher precision, 16.65%, 18.85%, and 17.89% higher accuracy, 22.36%, 15.42% and 28.27% lower RMSE when analysed the existing methods. The proposed MSNN-SGO technique is associated with the existing methods for instance spatial-temporal recurrent graph neural network (STRGNN), convolutional neural network (CNN), and long short-term memory network (LSTMN), respectively. © 2024 IEEE.

关键词： Mean square error

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A Tiny Defect Detection System for Tire Mold Surfaces Based on Consecutive Frames

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IEEE Transactions on Instrumentation and Measurement 2023年 72卷 1页

作者： Lin, Yu-Hung Ruan, Shanq-Jang National Taiwan University of Science and Technology Department of Electronic and Computer Engineering Taipei10607 Taiwan

The purpose of the study is to achieve the precise location of each defect on the surfaces of the customized tire mold. Traditional image-processing systems typically face significant challenges when processing images, including noise, distortions, and tiny objects, resulting in low computing efficiency and detection accuracy. To address these concerns, a comprehensive defect detection system is developed. The system consists of an inspection platform and a surface defect detection method. To achieve highly sensitive detection, an inspection platform and a novel filtering mechanism are proposed. The inspection platform is suitable for various customized tire molds and can be adjusted according to different situations. The effect of noise is effectively reduced by the novel filtering mechanism using a continuous image. Defect features are also prevented from being filtered out. In addition, to remove unnecessary parts of the image, U2 -Net is adopted to avoid detecting defective features outside the mold. Finally, a tire mold dataset - Side of Tire Mold (STM) - is set up for training and evaluating U2 -Net. The proposed method achieves 83.6% precision and 87.9% recall, which is the best performance among all comparisons. Furthermore, this system can provide defect details for subsequent analysis and automatic defect repair. © 1963-2012 IEEE.

关键词： Inspection

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An Exploratory Investigation into Sustaining Cybersecurity Protection Through the Implementation of SETA 4

An Exploratory Investigation into Sustaining Cybersecurity P...

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4th International Conference on Emerging Trends in Networks and computer Communications, ETNCC 2024

作者： Abdullah Huda, Mahfuzul Brayyich, Mohammed Haroon, Noor Hanoon Khan, Abdul Azeem Verma, Rajan University Institute of Computing Chandigarh University Punjab India College of Computing and Informatics Saudi Electronic University Riyadh Saudi Arabia College of Technical Engineering National University of Science & Technology Dhi Qar Iraq Technical Engineering College Al-Ayen University Department of Computer Technical Engineering Thi-Qar Iraq Negara Brunei Darussalam Faculty of Islamic Technology Brunei Lovely Professional University Division of Research and Development Phagwara144411 India KKR & KSR Institute of Technology & Sciences Andhra Pradesh Guntur India

ISBN: (纸本)9798350353266

Most modern businesses run their competitive operations online. Cybersecurity is crucial to commercial operations. No cybersecurity defensive solution is universal. Standard security strategy involves using hardware and software to counter known security threats that may become stronger over time. Attackers and security professionals fight constantly. A security approach based primarily on tools is untenable. However, some firms skip employee awareness training, resulting in biased cybersecurity breach decisions. This study objectively analyzes key factors that help enterprises and organizations deploy Security Education, Training, and Awareness (SETA) to find ways to maintain such protection. A dataset of UK corporate cybersecurity breach surveys is used to perform performance testing on eight supervised learning models. The entire research uses the model's built characteristics that are excellent at recognizing SETA-adopting enterprises and organizations. The trial shows that awareness is vital when organizations use SETA. Many firms don't know how to safeguard employees from cybersecurity risks when they use online products and services, such as external web services. © 2024 IEEE.

关键词： Personnel training

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LIPSIM: A PROVABLY ROBUST PERCEPTUAL SIMILARITY METRIC

arXiv

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arXiv 2023年

作者： Ghazanfari, Sara Araujo, Alexandre Krishnamurthy, Prashanth Khorrami, Farshad Garg, Siddharth Department of Electronic and Computer Engineering New York University United States

Recent years have seen growing interest in developing and applying perceptual similarity metrics. Research has shown the superiority of perceptual metrics over pixel-wise metrics in aligning with human perception and serving as a proxy for the human visual system. On the other hand, as perceptual metrics rely on neural networks, there is a growing concern regarding their resilience, given the established vulnerability of neural networks to adversarial attacks. It is indeed logical to infer that perceptual metrics may inherit both the strengths and shortcomings of neural networks. In this work, we demonstrate the vulnerability of state-of-the-art perceptual similarity metrics based on an ensemble of ViT-based feature extractors to adversarial attacks. We then propose a framework to train a robust perceptual similarity metric called LipSim (Lipschitz Similarity Metric) with provable guarantees. By leveraging 1-Lipschitz neural networks as the backbone, LipSim provides guarded areas around each data point and certificates for all perturbations within an 2 ball. Finally, a comprehensive set of experiments shows the performance of LipSim in terms of natural and certified scores and on the image retrieval application. © 2023, CC BY.

关键词： Image retrieval

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