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检索条件"任意字段=International Conference on Measurement and Modeling of Computer Systems"

共 90984 条记录，以下是381-390 订阅

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Explore Statistical Properties of Undirected Unweighted Networks from Ensemble Models 27th

Explore Statistical Properties of Undirected Unweighted Netw...

引用

27th international conference on Pattern Recognition, ICPR 2024

作者： Zhao, Xunda Wu, Xing Wang, Jianjia School of Computer Engineering and Science Shanghai University Shanghai China Engineering and Science Shanghai Institute for Advanced Communication and Data Science School of Computer Shanghai University Shanghai China School of AI and Advanced Computing Xi’an Jiaotong-Liverpool University Suzhou China

ISBN: (纸本)9783031783975

Complex network theory has been widely demonstrated as a powerful tool in modeling and characterizing various complex systems. In the past, complex network theory has focused on the behaviors as well as the characteristics of the network nodes and edges. However, with the continuous evolution of society, traditional graph theory faces challenges due to the emergence of extermely large network structures. Recently, complex network method based statistics has attracted much attention. The new approach effectively manages very large networks and uncovers their intrinsic properties. In this paper, we present a complex network analysis model for undirected, unweighted networks based on a statistical analysis approach. This model is inspired by the ensemble model in thermostatistical physics. Based on the established mathematical model, we derive physical measures that reflect the intrinsic properties of the network, including Entropy, Free Energy, Temperature, and so on. In the experimental part, we first explored the mathematical characterization of these metrics. Then, we observed the performance of various network categories under the same metric. Finally, we applied these measures to the field of graph classification. Extensive experiments demonstrate the effectiveness and superiority of the proposed method. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Undirected graphs

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Prospective Directions in the computer systems Industry Foundation Classes (IFC) Shaping Data Exchange for Cities Sustainability and Resilience 3rd

Prospective Directions in the Computer Systems Industry Foun...

引用

3rd international conference on Smart Technologies and Innovation Management, MTYMEX 2024

作者： Okonta, Ebere Donatus Vukovic, Vladimir Rahimian, Farzad Hayat, Ezri School of Computing Engineering and Digital Technologies Teesside University Middlesbrough United Kingdom School of Arts and Humanities University of Huddersfield West Yorkshire Huddersfield United Kingdom

ISBN: (纸本)9783031649561

Sustainability and resilience in addressing environmental, social, and economic challenges within construction rely on interoperability. In architecture, engineering, and facilities management, a model-centered approach using standardized information structures like industry foundation classes (IFC) is essential for data sharing. Achieving complete interoperability across domains requires further research, especially in modularizing IFC, normalizing tree structures, and ensuring language independence. This chapter focuses on IFC schema, highlighting upcoming developments like IFC 5 and "IFC x," with a core emphasis on modularization to enhance domain interoperability. Improved links between building information modeling (BIM) and geographic information systems (GIS), along with Internet of Things (IoT) integration into BIM, are also discussed. The three functions of model view definitions (MVDs) play a crucial role in defining subsets of IFC, imposing limitations, and establishing software implementation levels. Anticipated refinements in IFC 5 will coordinate these functions into distinct projects, establishing a shared interoperability layer within the schema. Modularization in IFC 5 is expected to streamline module creation, enhance upkeep, ensure consistent implementations, predict release cycles, and reduce the time gap between release and tool availability. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Interoperability

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Application of computer Graphics and BIM in Three-Dimensional Visualization and Virtual Reality of Water Conservancy Buildings

Application of Computer Graphics and BIM in Three-Dimensiona...

引用

Electronics, Energy systems and Power Engineering (EESPE), IEEE international conference on

作者： Zekun Chang Shandong Vocational College of Industry Zibo China

ISBN: (数字)9798350389579

ISBN: (纸本)9798350389586

This paper combines computer graphics and building information modeling (BIM) technology to propose an innovative three-dimensional visualization optimization algorithm for water conservancy buildings. The algorithm combines BIM data with efficient rendering technology in graphics, and proposes a method based on multi-level model generation and detail processing optimization to improve the rendering speed and accuracy of three-dimensional models. In the experimental part, a BIM model of a large water conservancy project was used for testing. The results show that compared with the traditional rendering method, the algorithm has improved the rendering accuracy by 18.5% and the rendering speed by 30%. In practical applications, this algorithm can effectively reduce the rendering time while ensuring the details and accuracy of the model, providing more accurate and efficient visualization support for water conservancy construction projects. In addition, the visualization effect is displayed through a virtual reality platform, which further verifies the superior performance of the algorithm in a virtual reality environment. The results of this study show that the innovative algorithm based on BIM and computer graphics cannot only improve the design and construction efficiency of water conservancy buildings, but also optimize the engineering management process, and has strong application value and promotion prospects.

关键词： Solid modeling Accuracy Three-dimensional displays Computational modeling Buildings Virtual reality Water conservation Rendering (computer graphics) Optimization Water resources

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Power Flow modeling of the Impacts of Weather and Other Resiliency Hazards With a Focus on Transmission Planning 58

Power Flow Modeling of the Impacts of Weather and Other Resi...

引用

58th Hawaii international conference on System Sciences, HICSS 2025

作者： Safdarian, Farnaz Cook, Jordan Zhgun, Kseniia Overbye, Thomas J. Snodgrass, Jonathan Dept. of Electrical and Computer Engineering Texas A&M University College Station TX United States

ISBN: (纸本)9780998133188

This paper presents an approach for modeling weather and other environmental inputs (ENIs) in the power flow and related tools with a focus on electric grid transmission planning. Such work is needed because of the rapidly growing dependence of electric grids on the weather and the need to consider the impact of more severe resiliency events. The paper presents a modeling approach, and then demonstrates it using several large-scale electric grids. Validation is also considered. A key contribution is to show that environmental inputs can be directly integrated into existing power flow and related tools such as contingency analysis and optimal power flow. © 2025 IEEE computer Society. All rights reserved.

关键词： Electric power transmission networks

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Generative Adversarial Networks for Imputing Sparse Learning Performance 27th

Generative Adversarial Networks for Imputing Sparse Learnin...

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27th international conference on Pattern Recognition, ICPR 2024

作者： Zhang, Liang Yeasin, Mohammed Lin, Jionghao Havugimana, Felix Hu, Xiangen Institute for Intelligent Systems University of Memphis MemphisTN38152 United States Department of Electrical and Computer Engineering University of Memphis MemphisTN38152 United States Human-Computer Interaction Institute Carnegie Mellon University PittsburghPA15213 United States Centre for Learning Analytics Monash University MelbourneVIC3800 Australia Department of Applied Social Sciences Hong Kong Polytechnic University Hong Kong

ISBN: (纸本)9783031781711

Learning performance data, such as correct or incorrect responses to questions in Intelligent Tutoring systems (ITSs) is crucial for tracking and assessing the learners’ progress and mastery of knowledge. However, the issue of data sparsity, characterized by unexplored questions and missing attempts, hampers accurate assessment and the provision of tailored, personalized instruction within ITSs. This paper proposes using the Generative Adversarial Imputation Networks (GAIN) framework to impute sparse learning performance data, reconstructed into a three-dimensional (3D) tensor representation across the dimensions of learners, questions and attempts. Our customized GAIN-based method computational process imputes sparse data in a 3D tensor space, significantly enhanced by convolutional neural networks for its input and output layers. This adaptation also includes the use of a least squares loss function for optimization and aligns the shapes of the input and output with the dimensions of the questions-attempts matrices along the learners’ dimension. Through extensive experiments on six datasets from various ITSs, including AutoTutor, ASSISTments and MATHia, we demonstrate that the GAIN approach generally outperforms existing methods such as tensor factorization and other generative adversarial network (GAN) based approaches in terms of imputation accuracy. This finding enhances comprehensive learning data modeling and analytics in AI-based education. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Generative adversarial networks

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Mitigating Phishing Attack in IoT based Healthcare System using a Threat modeling Approach

Mitigating Phishing Attack in IoT based Healthcare System us...

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Advancement in Computation & computer Technologies (InCACCT), international conference on

作者： Zineb Nadifi Mariyam Ouaissa Mariya Ouaissa Ali Kartit Keshav Kaushik Amitava Choudhury Laboratory of Information Technologies Chouaib Doukkali University El Jadida Morocco Computer Systems Engineering Laboratory Cadi Ayyad University Marrakech Morocco Sharda School of Computer Science & Engineering Sharda University Greater Noida India Department of Computer Science and Engineering School of Technology Pandit Deendayal Energy University Gandhinagar India

ISBN: (数字)9798331543891

ISBN: (纸本)9798331543907

The healthcare sector is a very sensitive area given the information that circulates within it, which makes hackers more inclined to target this architecture. Various techniques are available to ensure illegal intrusion, including phishing, an attack that is widely used by attackers as they take advantage of users' negligence or non-technical background to get them to provide initial access to the target architecture. This paper will discuss the threats that can affect an Internet of Things (IoT) architecture for healthcare domain, more specifically the phishing attack, using the STRIDE approach with the Microsoft Threat modeling (MTM) tool, and then proposing countermeasures and recommendations for mitigating and correcting these threats, to guarantee correct and secure communication as far as possible.

关键词： Threat modeling computer hacking Phishing Prevention and mitigation Medical services computer architecture Security Internet of Things Monitoring

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MLP-AMDC: A MLP Architecture for Adaptive-Mask-Based Dual-Camera Snapshot Hyperspectral Imaging 31st

MLP-AMDC: A MLP Architecture for Adaptive-Mask-Based Dual-C...

引用

31st international conference on Multimedia modeling, MMM 2025

作者： Cai, Zeyu Zhang, Can Chen, Yuchong Chen, Xunhao Yang, Jiming Shi, Wubin Da, Feipeng Jin, Chengqian School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of CSE Ministry of Education Nanjing210000 China Agricultural Mechanization Development and Intelligent Information Research Center Nanjing Institute of Argicultural Mechanization Ministry of Agriculture and Rural Affairs Nanjing210000 China

ISBN: (纸本)9789819620609

The coded Aperture Snapshot Spectral Imaging (CASSI) system has great advantages in dynamically acquiring Hyper-Spectral Image (HSI) compared to traditional measurement methods, but there are the following problems. 1) Traditional mask relies on random patterns or analytical design, both of which limit the performance improvement of CASSI. 2) Existing high-quality reconstruction algorithms are slow in reconstruction and can only reconstruct scene information offline. To address the above two problems, this paper introduces an RGB camera with CASSI based on Adaptive-Mask as multimodal input to improve the reconstruction quality. The existing SOTA reconstruction schemes are based on the transformer, but the operation of self-attention pulls down the operation efficiency of the network. To improve the inference speed of the reconstruction network, this paper proposes An MLP Architecture for Adaptive-Mask-based Dual-Camera (MLP-AMDC) to replace the transformer structure of the network. Numerous experiments have shown that MLP performs no less well than transformer-based structures for HSI reconstruction, while MLP greatly improves the network inference speed and has less number of parameters and operations, our method has an 8 dB improvement over SOTA and at least a 5-fold improvement in reconstruction speed. (https://***/caizeyu1992/MLP-AMDC.) © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Hyperspectral imaging

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A Controlled Experiment on the Usability of Automated Reflexion Mapping Suggestions Integrated in Code Cities

A Controlled Experiment on the Usability of Automated Reflex...

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IEEE international conference on Software Architecture Workshops (ICSAW)

作者： Leon Ehrhardt Rainer Koschke University of Bremen Germany

ISBN: (数字)9798331533366

ISBN: (纸本)9798331533373

Reflexion modeling allows developers to reconstruct and verify their software architecture against its implementation. One step of this method is the mapping of implementation components onto architecture components. Researchers have tried to automate the process of recommending suggestions where to map implementation components. This paper describes how such techniques can be integrated in an interactive approach that is based on software visualization using the code-city metaphor and evaluates the usability of this approach through a controlled experiment. During our user study, effects of reduced cognitive effort and time savings were measured when automated suggestions were available during reflexion modeling, although no statistical significance of the observed differences could be established.

关键词： Visualization Codes Software architecture Urban areas computer architecture Time measurement Software Software reliability Software measurement Usability

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Analysis of Functional Parameters of Fiber-Optic Sensors Based on Mandelstam-Brillouin Scattering Principle

Analysis of Functional Parameters of Fiber-Optic Sensors Bas...

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international Russian Smart Industry conference (SmartIndustryCon)

作者： Erzhena Garmaeva Nikolai Gorlov Evgenia Kitova Communication lines department Siberian State University of Telecommunications and Computer Science Novosibirsk Russia Foreign languages department for technical faculties Novosibirsk State Technical University Novosibirsk Russia

ISBN: (数字)9798331511241

ISBN: (纸本)9798331511258

In recent twenty years fiber optic sensors using Mandelstam Brillouin scattering effect have obtained a wide application in distributed measurements of temperature and deformation. Their application in engineering structures requires the analysis of functional parameters under conditions of noise interference onto backscatter signal spectrum. The research presents a mathematical model for measurement process based on stimulated scattering emphasizing on the measurement errors analysis. The formulas are presented for evaluation of mean quadratic errors in temperature and deformation measurements depending on noise-to-signal ratio and number of measurement cycles. In addition, methods to assess spatial resolution and dynamic range are proposed. Variations in methods for detection and processing backscattering spectra make it possible to produce efficient sensor systems which can monitor parameter change in real time.

关键词： Temperature measurement Temperature sensors Optical fiber sensors measurement errors measurement uncertainty Sensor systems Real-time systems Noise measurement Monitoring Backscatter

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Machine Learning for Phase Estimation in Satellite-to-Earth Quantum Communication

Machine Learning for Phase Estimation in Satellite-to-Earth ...

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Quantum Communications, Networking, and Computing (QCNC), international conference on

作者： Nathan K. Long Robert Malaney Kenneth J. Grant School of Electrical Engineering and Telecommunications University of New South Wales Kensington NSW Australia Sensors and Effectors Division of Defence Science and Technology Group Edinburgh SA Australia

ISBN: (数字)9798331531591

ISBN: (纸本)9798331531607

A global continuous-variable quantum key distribution (CV-QKD) network can be established using a series of satellite-to-Earth channels. Increased performance in such a network is provided by performing coherent measurement of the optical quantum signals using a real local oscillator, calibrated locally by encoding known information on transmitted reference pulses and using signal phase error estimation algorithms. The speed and accuracy of the signal phase error estimation algorithm are vital to practical CV-QKD implementation. Our work provides a framework to analyze long short-term memory neural network (NN) architecture parameterization, with respect to the quantum Cramér-Rao uncertainty bound of the signal phase error estimation, with a focus on reducing the model complexity. More specifically, we demonstrate that signal phase error estimation can be achieved using a low-complexity NN architecture, without significantly sacrificing accuracy. Our results significantly improve the real-time performance of practical CV-QKD systems deployed over satellite-to-Earth channels, thereby contributing to the ongoing development of the Quantum Internet.

关键词： Accuracy Uncertainty Error analysis Atmospheric modeling computer architecture Optical variables measurement Real-time systems Complexity theory Long short term memory Quantum communication

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