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A Network Attack Evaluation Model Based on Variable Weight Theory

A Network Attack Evaluation Model Based on Variable Weight T...

引用

2021 international conference on Network Communication and Information Security, ICNCIS 2021

作者： Li, Zhigeng Wu, Bin Beijing University of Posts and Telecommunications China

ISBN: (数字)9781510653283

ISBN: (纸本)9781510653276

With the development of the network, people pay more and more attention to network security. Network attack assessment is a very important item in network security assessment. Starting from three aspects: network attack evaluation attribute index selection, index weight determination, and network attack evaluation model establishment, based on the shortcomings of existing evaluation methods, this paper proposes a variable weight evaluation algorithm and a network attack evaluation model based on TOPSIS. Spatio-temporal correlation attributes are introduced into the attack effect evaluation index system, and a method of fusion of constant weight and variable weight is proposed to determine the weight of the index system. While ensuring the rationality of the indicator system, the compensation mechanism between indicators is overcome. Finally, the algorithm was verified through simulation experiments, and the experimental results show that the algorithm improves the accuracy and effectiveness of the evaluation. © 2022 SPIE

关键词： Networks Network architectures Statistical analysis Algorithms computer simulations Defense systems Network security Data modeling Factor analysis Telecommunications

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Autism Disease Prediction Using Deep Learning & Transfer Learning

Autism Disease Prediction Using Deep Learning & Transfer Lea...

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international conference on Networking, embedded and Wireless systems (ICNEWS)

作者： Abhishek Das Towhidul Alam Md. Zihad Hossain Habiba Rashid Lamiya Department of Electrical and Computer Engineering North South University Dhaka Bangladesh

ISBN: (数字)9798350367461

ISBN: (纸本)9798350367478

The neurological disease known as autism spectrum disorder (ASD) is characterized by impaired social interaction, communication issues, and constrained and repetitive behavior patterns. For the benefit of early interventions and support for afflicted persons, timely and accurate ASD prognosis is essential. Deep learning methods have become effective tools for predictive modeling across a range of industries, including healthcare. This study examines the use of deep learning and transfer learning to forecast ASD using a large dataset of clinical and behavioral variables. In this study, the effectiveness of three well-known deep learning architectures VGG16, DenseNet121, and MobileNetv2 in predicting ASDs is compared. A sizable dataset with a variety of ASD-related variables, such as demographic data, medical histories, and behavioral assessments, is used to train the models. To take use of pre-learned weights from models trained on extensive generic image recognition tasks, transfer learning is used. With accuracy rates of 97% apiece, the experimental results show remarkable prediction performance for VGG16 and DenseNet121. These models have significant generalization abilities that make it possible to make reliable predictions for identifying those who are at risk for ASD. In contrast to the other architectures, MobileNetv2 only obtains an accuracy of 73%. The results show that deeper architectures like VGG16 and DenseNet121 capture the rich patterns and fine details of the input data, resulting in more precise predictions. Additionally, thorough investigations are carried out to look into the models' learned representations and pinpoint the primary features that influence ASD prediction. These revelations aid in a better comprehension of the underlying causes and potential biomarkers of ASD. The information gleaned from these studies can direct ongoing research projects and support the creation of individualized interventions and therapies. Overall, the study empha

关键词： Deep learning Wireless communication Autism Accuracy Biological system modeling Transfer learning Predictive models Biomarkers Reliability Prognostics and health management

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Systematic Synthesis of Energy-Aware Timing Models in Automotive Software systems 8th

Systematic Synthesis of Energy-Aware Timing Models in Automo...

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8th international conference on Model-Driven Engineering and Software Development (MODELSWARD)

作者： Iyenghar, Padma Univ Osnabrueck Software Engn Res Grp Osnabruck Germany

ISBN: (纸本)9783030674441;9783030674458

In automotive embedded software, functions have several performance requirements such as timing, energy, safety and reliability. For such complex software architectures, an early evaluation and decision on the best set of performance configuration (e.g. timing vs energy trade-offs) could save costly corrections of potential errors in the design. For example, appropriate performance analysis workflows and frameworks if employed already during early design stages, allow us to understand the performance aspects and behavior of the system depending on software and hardware characteristics. The main input required for such analysis is the performance-analysis model based on the underlying design model. In this context, this chapter presents a workflow for synthesis of energy-aware timing analysis models for AUTOSAR-based embedded software systems developed using the Unified modeling Language (UML)/systems modeling Language (SysML) domains. A prototype of the model transformations for the synthesis of the energy-aware timing models and its evaluation in an automotive use case is presented.

关键词： Energy-aware timing model AUTOSAR Unified modeling language (UML) Synthesis Meta-model Model transformation

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Memristor-based High Speed and Area Efficient Comparators in IMPLY Logic

Memristor-based High Speed and Area Efficient Comparators in...

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international conference on VLSI Design

作者： Nandit Kaushik B. Srinivasu School Of Computing & Electrical Engineering Indian Institute of Technology Mandi Mandi India

Because of its In-Memory-Computation (IMC) capacity and low area footprint, memristive technology is a rapidly growing alternative to traditional computer architectures. Using IMPLY logic, this research proposes an efficient multi-bit comparator architecture in memristor technology. This article proposes three one-bit comparator designs, two of which conduct serial computations and the other performs parallel computations. An area efficient comparator design takes only four memristors to make the comparison in thirteen computational steps by reusing the input memristors. When the number of memristors that are reused decreases, the design speed increases. This is seen in the second serial comparator design, which computes the result in only eight steps using six memristors. A comparator design with seven memristors that performs the parallel computations takes only six steps to compute the output. The proposed method can be extended to multi-bit designs. A two-bit high speed comparator is also proposed, which takes twenty-two steps to perform the magnitude comparison. The proposed comparator designs were simulated in the Cadence Virtuoso using the VTEAM model.

关键词： embedded systems Computational modeling Memristors computer architecture Very large scale integration Computational efficiency

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Towards Web Platform for Cloud-Based Virtual Commissioning of IEC 61499 Distributed Automation systems

Towards Web Platform for Cloud-Based Virtual Commissioning o...

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international conference on Emerging Technologies and Factory Automation (ETFA)

作者： Tuojian Lyu Tung Nguyen Roman Rumiantsev Mikhail Kolesnikov Hansani Perera Udayanto Dwi Atmojo Valeriy Vyatkin Department of Electrical Engineering and Automation Aalto University Espoo Finland Department of Computer Science Computer and Space Engineering Luleå Tekniska Universitet Sweden

ISBN: (数字)9798350361230

ISBN: (纸本)9798350361247

In this paper, we propose a cloud-based virtual commissioning Web platform for IEC 61499 compliant distributed automation systems that support Create-Read-Update-Delete operations for SoftPLC containers from various versions and provide a remote engineering workstation with an embedded web Integrated Development Environment (IDE), Human Machine Interface (HMI), and 3D simulation models. A water tank use case demonstrates the platform's flexibility, enabling control software testing entirely via a Web browser without local installations.

关键词： Water Software testing Cloud computing Solid modeling Three-dimensional displays Human-machine systems Storage management Workstations IEC Standards Manufacturing automation

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WE-HML: hybrid WCET estimation using machine learning for architectures with caches 27

WE-HML: hybrid WCET estimation using machine learning for ar...

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27th IEEE international conference on embedded and Real-Time Computing systems and Applications (RTCSA)

作者： Amalou, Abderaouf N. Puaut, Isabelle Muller, Gilles Univ Rennes Rennes France Inria Paris Rennes France

ISBN: (纸本)9781665441889

Modern processors raise a challenge for WCET estimation, since detailed knowledge of the processor micro-architecture is not available. This paper proposes a novel hybrid WCET estimation technique, WE-HML, in which the longest path is estimated using static techniques, whereas machine learning (ML) is used to determine the WCET of basic blocks. In contrast to existing literature using ML techniques for WCET estimation, WE-HML (i) operates on binary code for improved precision of learning, as compared to the related techniques operating at source code or intermediate code level;(ii) trains the ML algorithms on a large set of automatically generated programs for improved quality of learning;(iii) proposes a technique to take into account data caches. Experiments on an ARM Cortex-A53 processor show that for all benchmarks, WCET estimates obtained by WE-HML are larger than all possible execution times. Moreover, the cache modeling technique of WE-HML allows an improvement of 65 percent on average of WCET estimates compared to its cache-agnostic equivalent.

关键词： Maximum likelihood estimation Program processors Pollution Machine learning computer architecture Benchmark testing Prediction algorithms

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Stability Analysis for Frequency Tunable Bandpass Delta-Sigma ADC architectures

Stability Analysis for Frequency Tunable Bandpass Delta-Sigm...

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international conference on Synthesis, modeling, Analysis and simulation Methods and Applications to Circuit Design (SMACD)

作者： Jesko Flemming Bernhard Wicht Pascal Witte Department of Integrated Circuits and Embedded Systems University of Applied Sciences and Arts Hanover Germany Institute of Microelectronic Systems Leibniz Universitat Hannover Hanover Germany Laboratory of Nano and Quantum Engineering Leibniz Universitat Hannover Hanover Germany

This paper presents bandpass delta-sigma modulator (BP-Δ∑M) structures, which are specifically suited for frequency tuning. The structures are identified through stability analyses and comparisons between chain of resonators feedforward (CRFF) and chain of resonators feedback (CRFB) delta-sigma modulator (Δ∑M) configurations. Frequency tuning is predominantly achieved through altering the resonator coefficients. Therefore, the paper guides designers though the analysis process for identifying suitable tunable BP-Δ∑M structures. When moderately changing the resonators the structures perform almost identical to a non-tunable modulator optimized for the same frequency. For large frequency shifts, the out-of-band gain (OOBG) of the signal transfer function (STF) and noise transfer function (NTF) in the CRFF structure, drastically increases and the control loop becomes unstable. It is shown how utilizing CRFB structures is advantageous for frequency tuning and that the OOBG in CRFF structures can be compensated through a unity STF (USTF) Δ∑M structure.

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Differentiable modal synthesis for physical modeling of planar string sound and motion simulation 24

Differentiable modal synthesis for physical modeling of plan...

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Proceedings of the 38th international conference on Neural Information Processing systems

作者： Jin Woo Lee Jaehyun Park Min Jun Choi Kyogu Lee Seoul National University and Music and Audio Research Group (MARG) Department of Intelligence and Information Seoul National University and Music and Audio Research Group (MARG) Department of Intelligence and Information and Artificial Intelligence Institute of Seoul National University (AIIS) and Interdisciplinary Program in Artificial Intelligence (IPAI)

ISBN: (纸本)9798331314385

While significant advancements have been made in music generation and differentiable sound synthesis within machine learning and computer audition, the simulation of instrument vibration guided by physical laws has been underexplored. To address this gap, we introduce a novel model for simulating the spatio-temporal motion of nonlinear strings, integrating modal synthesis and spectral modeling within a neural network framework. Our model leverages physical properties and fundamental frequencies as inputs, outputting string states across time and space that solve the partial differential equation characterizing the nonlinear string. Empirical evaluations demonstrate that the proposed architecture achieves superior accuracy in string motion simulation compared to existing baseline architectures. The code and demo are available online. https://***/spaces/szin94/dmsp

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Floating-Point Number Scalar Product Hardware Implementation for embedded systems

Floating-Point Number Scalar Product Hardware Implementation...

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international conference on CAD systems in Microelectronics (CADSM)

作者： Ivan Tsmots Vasyl Rabyk Vasyl Teslyuk Yurii Opotyak Department of Automated Control Systems Lviv Polytechnic National University Lviv Ukraine Department of Radiophysics and Computer Technologies Ivan Franko National University of Lviv Lviv Ukraine

An algorithm for calculating the scalar product of operands in floating-point format using a table-algorithmic method and an algorithm for forming tables of macro-partial products are proposed. The Calc_T_MPP program, which forms tables of macropartial products, was implemented in the C language on a Raspberry Pi 4 based embedded system. The structure of the scalar product calculation component was developed and implemented using the hardware programming language VHDL in the development environment Quartus II ver. 13.1. The simulation of the Block _ SP component and the estimation of the time of calculation of the scalar product by it were carried out.

关键词： Solid modeling embedded systems VHDL Estimation C languages Hardware

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16th international conference on Parallel Computational Technologies, PCT 2022

16th International Conference on Parallel Computational Tech...

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16th international conference on Parallel Computational Technologies, PCT 2022

ISBN: (纸本)9783031116223

The proceedings contain 22 papers. The special focus in this conference is on Parallel Computational Technologies. The topics include: High-Performance Calculations for modeling the Propagation of Allergenic Plant Pollen in an Atmospheric Boundary Layer;simulation of Nonstationary Thermal Fields in Permafrost Using Multicore Processors;HPC TaskMaster – Task Efficiency Monitoring System for the Supercomputer Center;modeling of Two-Phase Fluid Flow Processes in a Fractured-Porous Type Reservoir Using Parallel Computations;MPI-Based PFEM-2 Method Solver for Convection-Dominated CFD Problems;construction of a Parallel Algorithm for the Numerical modeling of Coke Sediments Burning from the Spherical Catalyst Grain;parallel simulations of Dynamic Interaction Between Train Pantographs and an Overhead Catenary Line;a New Approach to the Supercomputer simulation of Carbon Burning Sub-grid Physics in Ia Type Supernovae Explosion;visualizing Multidimensional Linear Programming Problems;Tuning of a Matrix-Matrix Multiplication Algorithm for Several GPUs Connected by Fast Communication Links;Measuring the Effectiveness of SAT-Based Guess-and-Determine Attacks in Algebraic Cryptanalysis;Implementation of the Algebraic Multigrid Solver Designed for Graphics Processing Units Based on the AMGCL Framework;VGL Rating: A Novel Benchmarking Suite for Modern Supercomputing architectures;kinetic modeling of Isobutane Alkylation with Mixed C4 Olefins and Sulfuric Acid as a Catalyst Using the Asynchronous Global Optimization Algorithm;quantum-Chemical Calculations of the Enthalpy of Formation of Some Tetrazine Derivatives;preface;Analysis of Block Stokes-Algebraic Multigrid Preconditioners on GPU Implementations;Compact LRnLA Algorithms for Flux-Based Numerical Schemes;parallel Methods for Solving Saddle Type systems;optimization of the Computational Process for Solving Grid Equations on a Heterogeneous Computing System.

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