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检索条件"主题词=software algorithms"

共 12566 条记录，以下是1171-1180 订阅

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Path Planning for Substation Inspection Robots Based on Improved A-Star Algorithm

Path Planning for Substation Inspection Robots Based on Impr...

引用

Advanced algorithms and Control Engineering (ICAACE), International Conference on

作者： Jun Guo Zhiyao Yang Baigang Du School of Mechanical and Electrical Engineering Wuhan University of Technology Wuhan Hubei China

ISBN: (数字)9798331535087

ISBN: (纸本)9798331535094

Using robots to replace manual inspection of power equipment in substation can reduce work risk and improve inspection efficiency. However, the electric and magnetic fields distributed around the power equipment will cause interference to the robots. In this paper, the safety of the inspection process is ensured by adding electromagnetic field constraints around the relevant power equipment in the substation. The path length and turning point were optimized by extending the search neighborhood, introducing the distance deviation function and dynamically adjusting the weight ratio in the evaluation function. Finally, the superiority of the algorithm is proved by simulation experiments.

关键词： Substations Heuristic algorithms software algorithms Inspection Turning Path planning software Magnetic fields Electromagnetic fields Robots

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Research on Defect Detection and Process Control of 3D Printing Mechanical System based on Artificial Intelligence

Research on Defect Detection and Process Control of 3D Print...

引用

IEEE Information Technology and Mechatronics Engineering Conference (ITOEC)

作者： Jipeng Xu Shandong University of Engineering and Vocational Technology Jinan China

ISBN: (数字)9798331529482

ISBN: (纸本)9798331529499

With the rapid development of additive manufacturing (AM) technology, 3D printing has been widely used in industries such as industry, medicine, and aerospace. However, due to the complex manufacturing process and material uncertainty, defects are prone to occur during 3D printing, which in turn affects product quality. In recent years, the development of artificial intelligence (AI) technology has provided new solutions for defect detection and process control of 3D printing mechanical systems. This paper focuses on the research progress of 3D printing defect detection and process control based on artificial intelligence, and analyzes related technologies, challenges, and future development directions.

关键词： Industries Uncertainty software algorithms Process control Three-dimensional printing Mechanical systems Reliability Artificial intelligence Defect detection software engineering

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From Microwave Measurement to Application: Enhancement of Fat-Intrabody Communication by Advanced Computational Techniques

From Microwave Measurement to Application: Enhancement of Fa...

引用

German Microwave Conference

作者： Pramod K. B. Rangaiah B. P. Pradeep Kumar Robin Augustine Dept of Electrical Engineering MMG Div of Solid State Electronics Uppsala University Sweden Department of Computer Science and Design Atria Institute of Technology India

ISBN: (数字)9783982039749

ISBN: (纸本)9798331521790

Fat-Intra Body Communication (Fat-IBC) leverages the unique dielectric properties of human adipose tissue for low-loss microwave signal propagation. This work presents a comprehensive analysis framework combining interpolation and extrapolation algorithms to predict transmission characteristics (S 21 ) across varying phantom lengths and antenna configurations. Interpolation accurately models intermediate lengths, while extrapolation extends predictions to unmeasured distances up to 100 cm. A software application was developed to integrate these computational models with a user-friendly interface and compatibility with microwave design tools. The results validate the efficiency of Fat-IBC for inbody-to-inbody configurations while highlighting challenges in onbody setups. This study establishes a foundation for optimizing Fat-IBC systems for biomedical and wearable applications.

关键词： Microwave measurement Microwave antennas Interpolation Extrapolation Computational modeling Biological system modeling software algorithms Microwave communication Prediction algorithms software

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Reversible Feature Transfer for Zero-shot Photorealistic 3D Scene Stylization

Reversible Feature Transfer for Zero-shot Photorealistic 3D ...

引用

2025 2nd International Conference on algorithms, software Engineering and Network Security (ASENS)

作者： Jinkeng Zhu Wensheng Li Chengying Gao School of Computer Science and Engineering Sun Yat-sen University Guangzhou China

ISBN: (数字)9798331520298

ISBN: (纸本)9798331520304

Photorealistic 3D Scene Stylization aims to render photorealistic stylized novel view images with provided style images. Existing methods face challenges in 3D scene content preservation, generalization and diverse outcomes. To address these challenges, we introduce a zero-shot photorealistic 3D stylization framework which manipulates 3D scene via 2D feature maps. A reversible feature transfer module is designed to process content and style features simultaneously and reduce the entanglement between them, ensuring robust content preservation and high-quality style transfer. Moreover, by style feature injecting based on this module, our framework can generalize to arbitrary style inputs for zero-shot stylization. Furthermore, we introduce a specifically designed 2D Dominant Supervised Scheme which utilizes different 2D style transfer methods as supervisors to learn diverse style feature. Experimental results demonstrate the effectiveness of our framework in preserving content details and achieving diverse stylization effects, surpassing existing 3D stylization methods.

关键词： Computer vision Three-dimensional displays software algorithms Network security Neural radiance field Faces software engineering

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Non-Unit Protection Scheme Assessment of Stand-Alone PV Generating System

Non-Unit Protection Scheme Assessment of Stand-Alone PV Gene...

引用

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

作者： Saswat Mishra Gyan Ranjan Biswal Papia Ray VSSUT Burla Odisha India

ISBN: (数字)9798331520540

ISBN: (纸本)9798331520557

Due to recent energy policies and increased rate of global warming, to curtail the impact of greenhouse gas emissions, a source like solar plays an important role in power generation but it is affected by irradiance, temperature (which changes due to changing atmospheric conditions) and load. As PV array has a unique point depending on both temperature and irradiation, where the generation of power, is maximum, an optimum algorithm is necessary to implement. To get optimal power under all possible conditions, the maximum power point (MPP) must be accurately tracked. In this proposed work, the performance of Perturb & Observe (P&O) algorithm is analyzed. Depending on local geographical location, the simulation parameters of proposed model are taken. Here, different types of protection schemes incorporated with relay system are provided in the power system network. The primary aim of these schemes is to detect faults in the network and to isolate the faulted part from the remaining healthy system. The protective relays continuously monitor the power system and operate when any quantities deviate from their normal levels. In this work, the impedance type relay is considered for the test model for detection of faults and the protection of the system. The results of proposed system are analyzed and verified using MATLAB/Simulink software. It is found that the proposed scheme works effectively under all adverse situations like fault, irradiance etc.

关键词： Temperature sensors Radiation effects Temperature dependence software algorithms Protective relaying Mathematical models Impedance Power system protection Power generation Photovoltaic systems Converters Climate change

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Research on Zero-Sequence Transfer Suppression in Non-isolated Medium Voltage Flexible DC Interconnected System

Research on Zero-Sequence Transfer Suppression in Non-isolat...

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Smart Grid and Artificial Intelligence (SGAI), International Conference on

作者： Tao Yuan Chong Mei Tianbai Deng Jun Tao Chunyang Li School of Electrical Engineering and Automation Anhui University Hefei China

ISBN: (数字)9798331518806

ISBN: (纸本)9798331518813

In order to realize the fault ride-through of non-isolated medium-voltage flexible-direct interconnected system under single-phase-to-ground fault, the fault characteristics and the generation and transmission mechanism of zero-sequence component are analyzed: the zero-sequence component generated by the fault side will be transmitted to the non-fault network through the DC side, resulting in voltage imbalance in the non-fault network. Aiming at the shortcomings of other suppression strategies, such as low economy and complex control, this paper proposes a method to suppress the fluctuation of DC bus voltage by configuring a series compensation circuit on the DC side. The corresponding control algorithm is designed to suppress the transmission of zero-sequence components and ensure the voltage balance of non-fault network. Finally, the simulation model is established in Matlab/Simulink to verify the theoretical analysis and the proposed fault control.

关键词： software algorithms Integrated circuit interconnections Medium voltage Interconnected systems Power system stability Transformers software reliability Circuit faults Voltage control MATLAB

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Identification of Pipeline Resistance Coefficient Based on Intelligent Algorithm

Identification of Pipeline Resistance Coefficient Based on I...

引用

Smart Grid and Artificial Intelligence (SGAI), International Conference on

作者： Jixing Li Lie Chen Zhiwu Ke Wuhan Second Ship Design and Research Institude Wuhan China

ISBN: (数字)9798331518806

ISBN: (纸本)9798331518813

For network modeling, resistance coefficients in pipes can deviate from their theoretical design values due to long-term usage, wear, blockages, and other factors. This paper proposes a method for identifying pipeline resistance coefficients using the Crested Porcupine Optimizer (CPO) algorithm. This approach transforms the model parameter identification problem into a multi-objective nonlinear optimization problem with complex constraints. It allows for the calculation and accuracy analysis of resistance coefficients in the network using a limited number of observation nodes and measurement values. The identified resistance coefficients closely match the actual parameters under network operation, reduced the influence of the deviation of the drag coefficient on the ac-curacy of the simulation.

关键词： Resistance Accuracy Pipelines software algorithms Transforms software Systems simulation Electrical resistance measurement software measurement Genetic algorithms

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The Computational Burden of Next-Gen Terahertz SDR and Algorithmic Paths for Solutions

The Computational Burden of Next-Gen Terahertz SDR and Algor...

引用

US National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)

作者： Arjuna Madanayake Yasaman Ghasempour Renato J. Cintra Josep M. Jornet Florida International University (FIU) Miami FL USA Princeton University Princeton NJ USA Universidade Federal de Pernambuco Caruaru Brazil Northeastern University Boston MA

ISBN: (数字)9781946815200

ISBN: (纸本)9798331513979

The terahertz (THz) bands, which are also typically referred to as the spectrum beyond 100 GHz, are emerging thanks to the abundant spectral resources, including continuous bands of spectrum that may be wider than 20 GHz. The availability of spectrum with bands over 20 GHz is an exciting opportunity for ultra-broadband wireless systems, including next-generation communications, networking, and sensing systems. As the carrier frequencies being considered continue to increase, the wavelength correspondingly reduces, in turn leading to smaller antennas with increased bandwidths. Even a narrowband patch antenna at 400 GHz could have more than 20 GHz of bandwidth even though the fractional bandwidth is only 5% of the center frequency. This leads to exciting new capabilities in broadband digital signal processing (DSP) and software defined radio (SDR) systems when used at such high carrier frequencies.

关键词： Wireless communication Patch antennas software algorithms Signal processing algorithms Digital signal processing Sensors Next generation networking Terahertz communications software radio Narrowband

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Self-Adaptive Ising Machines for Constrained Optimization

Self-Adaptive Ising Machines for Constrained Optimization

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Design, Automation and Test in Europe Conference and Exhibition

作者： Corentin Delacour Department of Electrical and Computer Engineering University of California Santa Barbara

ISBN: (数字)9783982674100

ISBN: (纸本)9798331534646

Ising machines (IM) are physics-inspired alternatives to von Neumann architectures for solving hard optimization tasks. By mapping binary variables to coupled Ising spins, IMs can naturally solve unconstrained combinatorial optimization problems such as finding maximum cuts in graphs. However, despite their importance in practical applications, constrained problems remain challenging to solve for IMs that require large quadratic energy penalties to ensure the correspondence between energy ground states and constrained optimal solutions. To relax this requirement, we propose a self-adaptive IM that iteratively shapes its energy landscape using a Lagrange relaxation of constraints and avoids prior tuning of penalties. Using a probabilistic-bit (p-bit) IM emulated in software, we benchmark our algorithm with multidimensional knapsack problems (MKP) and quadratic knapsack problems (QKP), the latter being an Ising problem with linear constraints. For QKP with 300 variables, the proposed algorithm finds better solutions than state-of-the-art IMs such as Fujitsu's Digital Annealer and requires 7,500x fewer samples. Our results show that adapting the energy landscape during the search can speed up IMs for constrained optimization.

关键词： Annealing Shape software algorithms Stationary state Benchmark testing Probabilistic logic software Optimization Lagrangian functions Tuning

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Automata Learning for React Web Applications

Automata Learning for React Web Applications

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

作者： Peter Grubelnik Franz Wotawa Graz University of Technology Graz Austria Institute of Software Engineering and Artificial Intelligence Graz University of Technology Graz Austria

ISBN: (数字)9798331534677

ISBN: (纸本)9798331534684

Testing is an inevitable part of any software engineering process to ensure quality and reliability. Model-based testing is a successful approach for the automated generation of test cases but requires a model of the system under test. Constructing such models can take time and effort. Hence, there is even a need to automate model generation, where automata learning is a promising approach. In this paper, we address the application of automata learning for React web forms used in a wide range of web applications. We provide information regarding a tool we developed to couple web forms to automata learning for obtaining a model. In addition, we discuss the application of the tool, limitations, challenges, and solutions for reducing the state space and making the approach feasible for practical applications.

关键词： software testing Limiting Learning automata Prevention and mitigation software algorithms Refining Reliability engineering User experience software reliability software engineering

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