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检索条件"主题词=software algorithms"

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A generative model for synchrophasor network traffic in smart grids

A generative model for synchrophasor network traffic in smar...

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Annual Conference on Information Sciences and Systems (CISS)

作者： Leo Kosta Aaron St. Leger Department of Electrical Engineering and Computer Science United States Military Academy NY

ISBN: (数字)9798331513269

ISBN: (纸本)9798331513276

Smart grid technologies can revolutionize power distribution. However, engineers can’t write the software to realize this goal without large, publicly available datasets. Power companies are reluctant to share the data they collect because of consumer privacy concerns and concerns that they will expose themselves as targets of cyber attacks. We introduce a generative model for one of the most common types of smart grid data: synchrophasor network traffic. Our model can generate an unlimited amount of smart grid data while mitigating risks associated with exposing consumer and network information. Engineers can use our model to prototype smart grid software such as anomaly detection and state estimation.

关键词： Temperature software algorithms Telecommunication traffic Companies Phasor measurement units Data models Smart grids State estimation software tools Anomaly detection

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Modification of the Spectral Analysis Method for Measuring Power Parameters Based on the Application of Window Functions

Modification of the Spectral Analysis Method for Measuring P...

引用

International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Alexey A. Kharinov Vladimir V. Korshunov Sergey A. Podobuev Anna A. Krylovich Viktor D. Kacharsky Andrey N. Serov Department of Computer Systems and Technologies National Research Nuclear University “MEPhI” Moscow Russian Federation Diagnostic Information Technologies Department National Research University “MPEI” Moscow Russian Federation

ISBN: (数字)9798331531836

ISBN: (纸本)9798331531843

Accurate spectrum measurement is one of the most important measurement tasks in the electric power grids. Knowledge of the complex spectrum allows to indirectly measure the vast majority of signal parameters. These include the parameters of electric power: active, apparent and reactive. The prevailing source of methodological error is the so-called “spectrum leakage” effect. The most common approach to suppress the spectrum leakage effect is the window function application. This approach allows using computationally efficient fast Fourier transform algorithms to obtain the signal spectrum. In this paper, we consider the application of the window function method to measure frequency, amplitude, initial phase and power parameters for the case of using rectangular and Hanning window. Interpolations of the spectrum for different numbers of spectrum samples are considered: one, two, three and five. By using MATLAB and Simulink, simulation models are proposed that allow evaluation of the effectiveness of the presented techniques.

关键词： Measurement errors Power engineering Power measurement Accuracy Voltage measurement software packages software algorithms Power systems MATLAB Spectral analysis

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Research on the Security Assessment Method for Mimetic Multivariate Systems Based on Multi-Granularity Features

Research on the Security Assessment Method for Mimetic Multi...

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Consumer Electronics and Computer Engineering (ICCECE), 2021 IEEE International Conference on

作者： Junwei Wang Qinglei Zhou Liming Zhang Shiliang Yu School of Cyber Science and Engineering Zhengzhou University Zhengzhou China Songshan Laboratory Zhengzhou China School of Computer Science and Artificial Intelligence Zhengzhou University Zhengzhou China

ISBN: (数字)9798331533113

ISBN: (纸本)9798331533120

Aiming at the current status quo that the security assessment of mimetic multivariate systems generally adopts a single level of assessment, which is unable to establish a security link between its internal software diversity and the overall security of mimetic multivariate systems, this paper proposes an assessment mechanism that combines two assessment methods, namely, software diversity metrics under multi-granularity characterization and risk assessment of vulnerability attacking system modeling. The experimental part of the dataset uses the GNU core toolset (coreutils 8.32), and the validity of this assessment method is verified by designing a security assessment algorithm that weights and scores the heterogeneity of the multi-granularity software diversity technique, and then by modeling an attack on the mimetic multi-variant system experiment. The experimental results show that the security assessment algorithm can effectively assess the anti-attack ability and security of the mimetic multivariate system under the multi-granularity feature, which has certain reference value for the future research on the security assessment method of the mimetic multivariate system.

关键词： Measurement software algorithms Systems modeling Diversity methods software Security Risk management Computer security Consumer electronics

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Transmission Line Protection based on Fine-Tuning CatBoost Fault Classification Technique

Transmission Line Protection based on Fine-Tuning CatBoost F...

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Sustainable Energy Technologies and Computational Intelligence (SETCOM), International Conference on

作者： Nilesh Chothani Dharmesh D. Patel Department of Electrical Engineering SoET Pandit Deendayal Energy University Gandhinagar India Department of Electrical Engineering Government Engineering College Bharuch India

ISBN: (数字)9798331520540

ISBN: (纸本)9798331520557

Transmission line challenges are complex because they involve many different factors and are subject to significant fluctuations. These complexities make it crucial to implement precise protective measures. Effective protection ensures that electrical power flows without interruption. To address these challenges, a new classification algorithm is proposed, which is based on CatBoost. This algorithm works in conjunction with a Wavelet Transform-based decomposition system. These tools help in accurately assessing the condition of the transmission lines and responding to any issues that may arise. For practical application, the Indian standard system serves as the simulation model. This system operates at a voltage rating of 220 kV and spans a length of 120 km, with a frequency of 50 Hz. The decomposition frequency is set at 4 kHz, and to perform the Wavelet decomposition method, 80 samples are taken per cycle. A comprehensive data collection occurs within the transmission line using the MULTIRUN block of PSCADTM software. This software is instrumental in gathering the necessary data for analysis. The developed CatBoost algorithm is implemented in MATLAB, ensuring that hyperparameters are optimized for better performance. Once data is collected from PSCADTM, it is then imported into MATLAB for further processing. The CatBoost algorithm is employed to validate the data and assess the performance of the transmission line protection system. The results from this classification reveal that the proposed algorithm significantly outperforms traditional methods in protecting transmission lines.

关键词： Wavelet transforms Power transmission lines software algorithms Power system protection Transmission line measurements software Mathematical models Classification algorithms MATLAB Transient analysis

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Bridging Simulation and Real-World for Autonomous UAVs in 5G RAN

Bridging Simulation and Real-World for Autonomous UAVs in 5G...

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IEEE Conference on Wireless Communications and Networking

作者： Riccardo Gobbato Andrea Lacava Salvatore D'Oro Maxime Elkael Prasanna Raut Jennifer Simonjan Evgenii Vinogradov Francesca Cuomo Tommaso Melodia Sapienza University of Rome Rome Italy Institute for the Wireless Internet of Things Northeastern University Boston MA USA Technology Innovation Institute Abu Dhabi UAE

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

Although the integration between Unmanned Aerial Vehicles (UAVs) and Radio Access Network (RAN) applications is envisioned to enable a variety of new use cases and services, several practical aspects related to autonomous operations over cellular systems are still largely unexplored due to difficulties in testing and validating such integration in the real world. In this paper, we bridge the gap between simulation and real-world applications by introducing a new framework that combines real-world robotic controllers and 5th generation (5G) cellular stacks with channel and flight simulation. We consider a holistic approach where we use ArduPilot as the flight controller and OpenAirInterface (OAI) and srsRAN as the 5G cellular stacks to provide a unified solution for developing and experimenting with UAV s for cellular applications. We utilize ArduPilot software-in-the-Loop (SITL) to simulate and control the mobility of UAVs, while OAI-RFSim and srsRAN are used to model channel conditions. Our framework is particularly useful for developing data-driven solutions that require (i) a large amount of data collected under realistic operational conditions to learn effective control policies; and (ii) a sandbox and safe testing environment that enables exploration of the action space. By addressing a UAV coverage problem and developing a greedy heuristic, we demonstrate how our framework can be used to create and test algorithms in a simulated environment, showcasing its potential as a bridge to real-world applications.

关键词： Training 5G mobile communication software algorithms Computer architecture Open RAN Autonomous aerial vehicles software Artificial intelligence Robots Testing

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Novel Algorithm to Solve the Constrained Path-Based Testing Problem

Novel Algorithm to Solve the Constrained Path-Based Testing ...

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IEEE International Conference on software Testing Verification and Validation Workshop, ICSTW

作者： Matej Klima Miroslav Bures Marek Miltner Chad Zanocco Gordon Fraser Sebastian Schweikl Patric Feldmeier Czech Technical University in Prague Czech Republic Stanford University California University of Passau Germany

ISBN: (数字)9798331534677

ISBN: (纸本)9798331534684

Constrained Path-based Testing (CPT) is a technique that extends traditional path-based testing by adding constraints on the order or presence of specific sequences of actions in the tests of System Under Test (SUT) processes. Through such an extension, CPT enhances the ability of the model to capture more real-life situations. In CPT, we define four types of constraints that either enforce or prohibit the use of a pair of actions in the resulting test set. We propose a novel Constrained Path-based Testing Composition (CPC) algorithm to solve the Constrained Path-based Testing Problem. We compare the results returned by the CPC algorithm with two alternatives, (1) the Filter algorithm, which solves the CPT problem in a greedy manner, and (2) the Edge algorithm, which generates a set of test cases that satisfy edge coverage. We evaluated the algorithms on 200 problem instances, with the CPC algorithm returning test sets (T) that have, on average, 350 edges, which is 2.4% and 11.1% shorter than the average number of edges in T returned by the Filter algorithm and the Edge algorithm, respectively. Regarding the compliance of the generated T with the constraints, the CPC algorithm produced T that satisfied the constraints in 95% of the cases, the Filter algorithm in 45% cases, and the Edge algorithm returned T that satisfied the constraints only for 6% SUT instances. Regarding the coverage of edges, the CPC algorithm returned test sets that contained, on average, 91.5% of edges in the graphs, while for T returned by the Filter algorithm, it was 90.8% edges. When comparing the average results of the edge coverage criterion and the fulfillment of the constraint criterion by individual algorithms, we consider the incomplete edge coverage achieved by the CPC algorithm and, at the same time, 95% fulfillment of the graph constraints to be a reasonable compromise.

关键词： software testing Scalability Conferences software algorithms Semantics Metaheuristics Employment Directed graphs Filtering algorithms Testing

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Efficient Algorithm Analysis Of Kidney Images On FPGA

Efficient Algorithm Analysis Of Kidney Images On FPGA

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IEEE Students' Conference on Electrical, Electronics and Computer Science (SCEECS)

作者： G.V. Thanuja Ramya S Dept. Electronics and Communication Engineering Manipal Institute of Technology Manipal Academy of Higher Education Manipal Karnataka India

ISBN: (数字)9798331529833

ISBN: (纸本)9798331529840

The field-programmable gate array (FPGA) offers an effective solution to meet the high-performance requirements of real-time digital signal processors. IP cores developed on FPGAs benefit from the programmable logic's flexibility, efficient timing, and adaptability in algorithm modification, coupled with the processing power provided by the embedded processor. Integrating image processing into this sector is an ideal addition, especially in the growing field of edge detection, which is crucial in areas like image pattern recognition, machine learning, and data processing. This paper presents a case study focused on kidney CT scan images for edge detection, utilizing the Sobel and Canny edge detection techniques on the target FPGA device, xc7z020clg484-1. An IP core was designed and generated using VIVADO software, converting image pixels into binary form for pre-processing through these edge detection algorithms. The algorithms were simulated and synthesized on the xc7z020clg484-1 FPGA, with the entire design implemented in Verilog code to create the IP, which connects to the DMA controller throughout the system. This IP core can process multiple CT scan images simultaneously, making it valuable for various biomedical applications. The primary aim of this research is to compare the Sobel and Canny edge detection algorithms to identify the best approach for developing an IP core, evaluated by metrics such as total power consumption, CPU time, execution time, LUT count, and FF usage. The resulting IP core is efficient and conserves resources, making it suitable for other embedded applications.

关键词： Image edge detection Computed tomography software algorithms Signal processing algorithms Computer architecture Table lookup IP networks Logic Field programmable gate arrays Kidney

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Research on Logistics Path Planning Based on Improved Local Path Planning Algorithm

Research on Logistics Path Planning Based on Improved Local ...

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Electronics, Energy Systems and Power Engineering (EESPE), IEEE International Conference on

作者： Shiguan Yu Weizhi Tong Yuanhong Li College of Management Shenzhen University Shenzhen City Guangdong Province China

ISBN: (数字)9798350389579

ISBN: (纸本)9798350389586

Logistics path planning technology is one of the key technologies of logistics logistics system, which has important research value. Scholars at home and abroad have carried out extensive research on logistics path planning, and proposed intelligent optimization algorithms, heuristic algorithms, sampling algorithms and other path planning methods. However, there are still many problems in the existing research results, for example, the existing methods are mostly based on the path planning problem of logistics as the research object, without considering the cooperative operation of the path in the actual operation scenario. Moreover, the existing logistics path planning algorithms are less efficient and have the risk of falling into local optimization. Aiming at the above problems, this paper proposes an efficient logistics path planning method for multi-logistics operation scenarios, which realizes the planning path close to the optimum and avoids the logistics conflict problem at the same time. In this paper, we optimize the redundant turning points of the local path planning algorithm due to the limitation of the expansion direction, and at the same time extend its evaluation function to realize the integration of the algorithm. The length of the planning path of the improved algorithm is shortened by $\mathbf{3 5. 4 \%}$ and $\mathbf{2 5. 8 \%}$ respectively, and the completion time of the task is reduced by 10.2 % and 6.4 % respectively, which verifies that the improved algorithm has certain optimization effect.

关键词： Heuristic algorithms software algorithms Clustering algorithms Transportation Turning Path planning Stability analysis Planning Optimization Logistics

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Recovering Channel Amplitude Reciprocity with Data-Aided Gain Imbalance Estimation in an SFLC-OFDM System

Recovering Channel Amplitude Reciprocity with Data-Aided Gai...

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International Conference on Information Networking

作者： Songmin Lee Jingon Joung Jihoon Choi Juyeop Kim Department of Electrical Engineering Sookmyung Women’s University Seoul South Korea School of Electrical and Electronics Engineering Chung-Ang University Seoul South Korea

ISBN: (数字)9798331506940

ISBN: (纸本)9798331506957

This paper proposes a practical scheme for estimating and compensating channel amplitude asymmetry in a SpaceFrequency Line Code (SFLC) - Orthogonal Frequency Division Multiplexing (OFDM) system. SFLC assumes channel reciprocity using Time Division Duplexing (TDD) for estimating downlink (DL) channel state information via uplink (UL). However, in practice, channel amplitudes between UL and DL are asymmetric, causing unexpected phase rotation in decoded symbols. To address the issue, we propose a data-aided gain calibration technique to maintain channel amplitude symmetry and improve the performance of SFLC decoding. We design an estimator of the phase rotation based on a mathematical model. We then propose a calibration scheme that compensates for channel amplitude asymmetry by adjusting the receive gain of an antenna. We also provide experimental results with implementation on a software modem. A testbed using USRPs is established, and experiments with real-time signal processing are conducted to verify the functionality. The results show that the phase rotation is properly estimated and effectively nullified via the proposed scheme.

关键词： Codes OFDM software algorithms Channel estimation Symbols Modems software Stability analysis Calibration Uplink

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Application and Optimization Strategy of Image Processing Technology in Art Design

Application and Optimization Strategy of Image Processing Te...

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Digital Analysis and Processing, Intelligent Computation (DAPIC), International Conference on

作者： Si Chen Luohe Vocational and Technical College Luohe Henan China

ISBN: (数字)9798331536169

ISBN: (纸本)9798331536176

This paper discusses the optimization strategies of image processing technology in art design, and verifies the effectiveness of these strategies through experiments. In order to achieve the research goal, this paper designs a targeted experimental scheme. In terms of methods, this paper comprehensively optimizes the image processing technology around three core directions: improving algorithm efficiency, optimizing user interface and enhancing artistic effect. A series of experiments are carried out by adjusting algorithm parameters, improving model training skills and expanding the functions of image processing software. The experimental results show that the optimized image processing technology has achieved remarkable results in all aspects. The running efficiency of the algorithm is obviously improved, and the processing speed is greatly accelerated; The user interface is more friendly and intuitive, and the designer's operation convenience is greatly improved; The artistic effect is more colorful, which meets the designer's higher pursuit of creative expression. These experimental results fully prove the effectiveness of the optimization strategy. The application prospect of image processing technology in art design is broad, and the optimization strategy is of great significance to improve the design efficiency, quality and creativity.

关键词： Hands Training Technological innovation Art Image processing software algorithms User interfaces Market research software Optimization

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