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Calculation of Induced Voltage in Electrical Engineering Based on 3DE Platform

Calculation of Induced Voltage in Electrical Engineering Bas...

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Data Analytics, computing and Artificial Intelligence (ICDACAI), international conference on

作者： Jie Yang Bingjie Li Feng Jing Xizhe Li Yuxuan Zhang Northwest Engineering Corporation Limited Xi'an China Xi'an Anto Computer Network System Integration Co. Ltd Xi'an China

ISBN: (数字)9798331519032

ISBN: (纸本)9798331519049

The development of the national economy cannot be separated from the stable support of the power industry. As an indispensable and important energy source in modern social life and production, the stable supply of electricity plays a crucial role in maintaining the sustainable development of the national economy and the normal order of people's lives. However, during the maintenance and repair of transmission lines, the induced voltage and current generated between the lines have become important factors threatening the safety of personnel. In order to effectively evaluate and control these potential safety risks, this paper proposes an electrical induction voltage calculation algorithm based on the 3DE platform. This algorithm fully utilizes the powerful functions of 3DE platform in 3D modeling, electromagnetic field simulation, and data analysis, and can achieve accurate calculation of induced voltage in complex electrical systems. The experimental results show that the algorithm has high computational accuracy and stability, and can accurately predict the magnitude and distribution of induced voltage under different conditions, providing strong technical support for the safe maintenance and repair of electrical systems.

关键词： Accuracy Data analysis Three-dimensional displays Power system stability Maintenance engineering Prediction algorithms Stability analysis Maintenance Safety Electromagnetic fields

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distributed computing and Data Processing Technology under the Power Data Middleware Architecture

Distributed Computing and Data Processing Technology under t...

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Data Science and Computer Application (ICDSCA), IEEE international conference on

作者： Yuelin Zou Jia Shen Rui Yin Jiangtao Guo Yi Guo State Grid Xinjiang Electric Power Co. Ltd. Information and Communication Company Urumqi China State Grid Xinjiang Electric Power Co. Ltd. Urumqi China State Grid Info-Telecom Great Power Science and Technology Co. Ltd Fuzhou China

With the establishment and development of integrated monitoring platforms and communication information platforms for intelligent substations, the data volume of the power system is showing explosive growth. However, existing data centers have poor processing capabilities for massive amounts of data, making it difficult to meet the multiple service quality requirements of users. How to effectively manage massive and complex data, fully utilize the value of data, improve service quality, reduce operational costs, and achieve rapid response to users is an urgent problem to be solved. Therefore, based on the actual needs of power enterprises, this article proposed a cloud computing power data middleware architecture based on distributed technology, which effectively managed, cleaned, converted, and evaluated power data sources through cloud computing platforms. This article mainly analyzed the shortcomings of traditional power data processing platforms and the feasibility of cloud computing based power data platforms. Finally, through load balancing bias comparison and pressure testing experiments under different task numbers, it was proven that cloud computing systems.outperformed traditional power data processing systems.in terms of utility value, completion time, and load balancing. Moreover, in the pressure testing experiment, under the condition of 10 concurrent users and 673 system request transactions, 91.3% of the interface response time in the cloud computing system was within 50ms. Therefore, cloud computing systems.have certain advantages in processing power data.

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proceedings of XLOOP 2021: 3rd Annual Workshop on Extreme-Scale Experiment-in-the-Loop computing, Held in conjunction with SC 2021: The international conference for High Performance computing, Networking, Storage and Analysis

Proceedings of XLOOP 2021: 3rd Annual Workshop on Extreme-Sc...

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3rd Annual Workshop on Extreme-Scale Experiment-in-the-Loop computing, XLOOP 2021

ISBN: (纸本)9781665411226

The proceedings contain 6 papers. The topics discussed include: ALS share, a lightweight data sharing service for a synchrotron radiation facility;designing a streaming data coalescing architecture for scientific detector ASICs with variable data velocity;bridging data center AI systems.with edge computing for actionable information retrieval;high-performance hybrid-global-deflated-local optimization with applications to active learning;adversarial attacks against AI-driven experimental peptide design workflows;and optimizing high- throughput capabilities by leveraging reinforcement learning methods with the Bluesky suite.

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Design and Verification of APB Protocol

Design and Verification of APB Protocol

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Advancements in Electrical, Electronics, Communication, computing and Automation (ICAECA), international conference on

作者： V Sagar Reddy Jaini Sachin Rewaria Ranjith Kumar Thota Chevella Anil Kumar Vinay Kumar Chikoti Dept. of ECE VNR VJIET Hyderabad India Software Engineer Softech International Resources Inc North Carolina USA

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

The AMBA protocol comprises the Advanced Peripheral Bus (APB) component, designed for low-power, efficient communication between microprocessors and peripherals in mainstream System-on-Chip (SoC) designs. Its strength lies in simplicity, integration convenience, and low-latency communication making it the right choice for energy-sensitive applications. Therefore, in this paper, the design and verification of the APB protocol have been discussed based on a Finite State Machine (FSM) model to give a broad overview of the various phases of operation of the standard and a structured implementation. Verification is completed using System Verilog to thoroughly check the functional and timing aspects of APB-based verification. Abstract state checks and coverage analyses confirm compliance with the protocol specification and ensure dependable performance. Constrained random testing, assertion-based verification, and thorough coverage analysis are practiced on the designed model. Simulations showed that the protocol exhibits the typical low-power communication behaviour fitting into modern SoC architectures and applications like IoT devices or embedded systems.

关键词： Performance evaluation Protocols Embedded systems Data transfer Complexity theory Timing Telecommunication computing Internet of Things Hardware design languages Testing

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3rd international conference on Neural computing for Advanced Applications, NCAA 2022

3rd International Conference on Neural Computing for Advance...

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3rd international conference on Neural computing for Advanced Applications, NCAA 2022

ISBN: (纸本)9789811961410

The proceedings contain 77 papers. The special focus in this conference is on Neural computing for Advanced Applications. The topics include: A Multi-channel Fusion Method Based on Tensor for Rolling Bearing Fault Diagnosis;a Perception Method Based on Point Cloud Processing in Autonomous Driving;many-Objective Artificial Bee Colony Algorithm Based on Decomposition and Dimension Learning;LCSW: A Novel Indoor Localization System Based on CNN-SVM Model with WKNN in Wi-Fi Environments;large Parallax Image Stitching via Structure Preservation and Multi-matching;traffic Congestion Event Mining Based on Trajectory Data;many-Objective Evolutionary Algorithm Based on Dominance and Objective Space Decomposition;a New Unified Control Approach for Finite-/Fixed-Time Synchronisation of Multi-weighted Dynamical Networks;aperiodic Sampling Based Event-Triggering for Synchronization of Nonlinear systems.two-Stream 3D MobileNetV3 for Pedestrians Intent Prediction Based on Monocular Camera;Research on Non-intrusive Household Load Identification Method Applying LightGBM;design of Portrait System for Road Safety Based on a Dynamic Density Clustering Algorithm;an Ensemble Deep Learning Model Based on Transformers for Long Sequence Time-Series Forecasting;multi-layer Integrated Extreme Learning Machine for Mechanical Fault Diagnosis of High-Voltage Circuit Breaker;wind Power Forecast Based on Multiple Echo States;UAV-Assisted Blind Area Pedestrian Detection via Terminal-Edge-Cloud Cooperation in VANETs;a Survey of Optimal Design of Antenna (Array) by Evolutionary computing Methods;a Span-Based Joint Model for Measurable Quantitative Information Extraction;bayesian Optimization Based Seq2Seq Network Models for Real Estate Price Prediction in Hong Kong;ensemble Learning for Crowdfunding Dynamics: JingDong Crowdfunding Projects;Cage Mass Center Capture for Whirl Analysis Using an Improved MultiResUNet from the Multimodal Biomedical Image Segmentation;master Multiple Real-Time Strategy Game

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3rd international conference on Neural computing for Advanced Applications, NCAA 2022

3rd International Conference on Neural Computing for Advance...

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3rd international conference on Neural computing for Advanced Applications, NCAA 2022

ISBN: (纸本)9789811961342

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Signals Recovery by Means of Three-Harmonic Equations Solutions 3

Signals Recovery by Means of Three-Harmonic Equations Soluti...

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3rd IEEE international conference on System Analysis and Intelligent computing, SAIC 2022

作者： Musienko, Andrii Makarchuk, Andriy Kharkevych, Yurii Kal'chuk, Inna Kharkevych, Galyna Hrysenko, Maryna National Technical University of Ukraine 'Igor Sikorsky Kyiv Polytechnic Institute' Heat Power Engineer Department Kyiv Ukraine Lesya Ukrainka Volyn National University Faculty of Information Technology and Mathematics Lutsk Ukraine Lesya Ukrainka Volyn National University Faculty of International Relations Lutsk Ukraine Taras Shevchenko National University of Kyiv Faculty of Mechanics and Mathematics Department of General Mathematics Kyiv Ukraine

ISBN: (数字)9798350396744

ISBN: (纸本)9798350396744

An intensive development of signal theory has been taking place for the last decades. Therefore, the range of such problems has expanded considerably. Problems closely related to the mathematical methods have become especially important. We can include here problems related to image processing, filtering audio and other signals, etc. It should be noted that these problems are often related to the methods of systems.analysis and approximation theory. In particular, in many digital signal processing problems, interpolation is one of the classic methods of their solution. When we talk about the usage of interpolation polynomials in signal theory, we are used to using standard methods of spline-type interpolation, Lagrange interpolation polynomials or Hermite polynomials. However, signals are known to be approximated the best by periodic functions. Trigonometric analogues of Lagrange interpolation polynomials are the standard examples of interpolation that could be used in practice. But such methods do not always give good results or are not easy to use. To solve this problem, we should keep in mind that signals are harmonic functions. Therefore, the discrete Fourier transformation has been used in many scientific works. However, this approach does not always give the desired effect, so the question of constructing alternative interpolation polynomials arises. In this paper, we propose a new approach to signal recovery, which allows getting better signal recovery than that given by the most common methods of signal recovery. The usage of interpolation polynomials proposed in this paper provides an improvement in signal recovery compared to their classical counterparts. © 2022 IEEE.

关键词： Interpolation

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Dynamic Partitioning of 3D Scenes into User-Bounding Boxes for Immersive Metaverse Experience

Dynamic Partitioning of 3D Scenes into User-Bounding Boxes f...

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3rd international conference on Disruptive Technologies, ICDT 2025

作者： Kumar, Deep Chauhan, Sneha Awasthi, Lalit Kumar National Institute of Technology Department of Cse Uttarakhand India Kiet Group of Institutions Department of Csit NCR Ghaziabad India

ISBN: (纸本)9798331519582

The partitioning of 3-dimensional environments into user-specific bounding boxes, accompanied by immersive audio and visual experiences, presents a significant challenge in virtual and augmented reality systems. This study examines methods for the adaptive segmentation and management of virtual environments to improve user interaction and immersion. The system utilizes spatial partitioning algorithms such as octrees, Voronoi diagrams, and bounding volume hierarchies to dynamically allocate regions of 3D space according to the needs of individual users. Immersive audio experiences utilize directional sound rendering via Head-Related Transfer Functions and dynamic audio zones, whereas adaptive visual rendering incorporates techniques like level of detail, frustum culling, and real-time lighting adjustments. The proposed framework integrates AI-driven personalization, procedural content generation, and gesture-based interaction to establish context-aware and responsive environments. Synchronization among networked devices enables smooth transitions in multi-user environments, supported by edge computing and consensus algorithms. This research addresses the technical complexities of real-time dynamic partitioning and immersive multimodal experiences to enhance user engagement and redefine interaction paradigms in virtual spaces. The proposed solutions exhibit scalability and adaptability for use in gaming, training simulations, and collaborative metaverse environments. © 2025 IEEE.

关键词： Augmented reality

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3rd international conference on Soft computing and its Engineering Applications, icSoftComp 2021

3rd International Conference on Soft Computing and its Engin...

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3rd international conference on Soft computing and its Engineering Applications, icSoftComp 2021

ISBN: (纸本)9783031057663

The proceedings contain 33 papers. The special focus in this conference is on Soft computing and its Engineering Applications. The topics include: Sentiment Analysis of Twitter Data Using Machine Learning Approaches;mining Spatio-Temporal Sequential Patterns Using MapReduce Approach;a Split-Then-Join Lightweight Hybrid Majority Vote Classifier;identification of Barriers in Adoption of IoT: Commercial Complexes in India;a Dynamically Adapting Framework for Stock Price Prediction;evaluating Binary Classifiers with Word Embedding Techniques for Public Grievances;database Concentration Method for Efficient Image Retrieval Using Clustering and Image Tag Comparison;microstructure Image Classification of Metals Using Texture Features and Machine Learning;segregation of Areca Nuts Using Three Band Photometry and Deep Neural Network;Early Diagnosis of Alzheimer’s Disease from MRI Images Using Scattering Wavelet Transforms (SWT);constraint Pushing Multi-threshold Framework for High Utility Time Interval Sequential Pattern Mining;KTSVidRec: A Knowledge-Based Topic Centric Semantically Compliant Approach for Video Recommendation on the Web;intelligent Facial Expression Evaluation to Assess Mental Health Through Deep Learning;intelligent Mobility: A Proposal for Modeling Traffic Lights Using Fuzzy Logic and IoT for Smart Cities;crop Disease Prediction Using Multiple Linear Regression Modelling;radial Basis Function Network Based Intelligent Scheme for Software Quality Prediction;generating the Base Map of Regions Using an Efficient Object Segmentation Technique in Satellite Images;KCEPS: Knowledge Centric Entity Population Scheme for Research Document Recommendation;weighted Hybrid Recommendation System Using Singular Value Decomposition and Cosine Similarity;CT/MRI 3D Fusion for Cerebral System Analysis;text Analysis and Classification for Preprocessing Phase of Automatic Text Summarization systems.arabic Cyberbullying Detection from Imbalanced Dataset Using Machine Learning;in

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Power Generation Performance of distributed Photovoltaic systems.Based on Perovskite Solar Cells

Power Generation Performance of Distributed Photovoltaic Sys...

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Energy, Power and Electrical Technology (ICEPET), international conference on

作者： Jinxia Zhang Xiaolei Li Shuo Yang Peijun Sun Jixue Wang Hairen Tan China Electric Power Planning & Engineering Institute Beijing China Nanjing University Nanjing China

ISBN: (数字)9798350352658

ISBN: (纸本)9798350352665

distributed photovoltaic systems.are one of the key technologies for achieving China's carbon peaking and carbon neutrality goals, with their continuous development and technological progress being crucial. This study focuses on six representative cities in China, comparing and analyzing the power generation performance of rooftop distributed photovoltaic systems.based on perovskite solar cells against those using traditional silicon solar cells. The research found that in all the cities examined, photovoltaic systems.employing perovskite solar cells demonstrated higher efficiency compared to systems.based on silicon solar cells, with efficiency improvement ranging between 7.0% and 9.9%, especially notable in Haikou and Chongqing with higher annual average temperature or lower light irradiance. This performance advantage mainly stems from the low temperature coefficient and superior performance under low-intensity light irradiance of perovskite solar cells. Additionally, the power generation performance of perovskite cells exhibits lower sensitivity to weather changes, contributing to the overall stability of photovoltaic systems. The widespread application of perovskite photovoltaic technology is expected to further enhance the efficiency and stability of China's distributed photovoltaic systems. providing valuable technical support for China's energy transition.

关键词： Photovoltaic systems Performance evaluation Temperature sensors Temperature distribution Photovoltaic cells Urban areas Perovskites

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