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Journal of Physics: conference Series

Journal of Physics: Conference Series

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2022 3rd International conference on Electrical Technology and Automatic control, ICETAC 2022

The proceedings contain 69 papers. The topics discussed include: locating and sizing planning of electric vehicle battery-swapping stations considering user path selection;research on energy extraction devices based on high-voltage line monitoring technology;MEMS-based sensing technology for the gas chromatograph analysis;research on key evaluation indexes of grid-connected characteristics of new energy based on historical data;research on HVDC supplementary two-stage transient control and smooth switching;numerical simulation of the breakdown process of dielectric in high voltage pulse discharge;numerical simulation of electrode structure on high voltage pulse discharge characteristics;application and research of high-pressure energy storage technology in aircraft hydraulic system;analysis of tunable refractive index characteristics of the magnetic fluid;improved design of feedback matrix of adaptive observer for induction motor;and new technology of three-phase unbalanced overvoltage suppression and voltage arc suppression based on distribution network.

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BLDC Motor Trapezoidal Regulation Using Hall Effect Sensor

BLDC Motor Trapezoidal Regulation Using Hall Effect Sensor

引用

Intelligent Systems and Advanced Applications (ICISAA), International conference on

作者： Hansa Bhatiya Dushyant Patil Shriram Makune Swaraj Kadam Vishal Mahajan Harshal Vaidya Department of Electrical Engineering Dr. D. Y. Patil Institute of Technology Pimpri Pune India Department of Electrical Engineering R. C. Patel College of Polytechnic India Department of Engineering Science Marathwada Mitramandal’s IoT Lohgaon Pune

ISBN: (数字)9798331539948

ISBN: (纸本)9798331539955

BLDC motors provide excellent performance, durability, and efficiency, making them ideal for a variety of applications. The motor was operated by means of the six-step commutation process of the trapezoidal control approach, which was applied to the exact rotor position data obtained via Hall effect sensors. This approach perfectly times the commutation sequence, reducing torque ripple and improving motor performance. The design, modeling, and experimental findings validated the effectiveness of the proposed control technique, suggesting that it can be used to maximize BLDC motor performance in commercial and industrial applications.

关键词： Commutation Velocity control Rotors process control Hall effect Stability analysis Regulation Sensors Torque measurement Reliability

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Operational Modal analysis of a Rotating Structure Using Image-Based Tracking Continuously Scanning Laser Doppler Vibrometry via a Novel Edge Detection Method 41st

Operational Modal Analysis of a Rotating Structure Using Ima...

引用

41st IMAC, A conference and Exposition on Structural Dynamics, 2023

作者： Lyu, L.F. Higgins, G.D. Zhu, W.D. Department of Mechanical Engineering University of Maryland Baltimore County BaltimoreMD United States

ISBN: (纸本)9783031349096

A novel edge detection method is developed for an image-based tracking continuously scanning laser Doppler vibrometer (CSLDV) system to track a rotating structure without attaching any mark or encoder to it. The edge detection method can determine real-time positions of points on edges of the rotating structure by processing images captured by a camera in the tracking CSLDV system. Once a point on an edge of a rotating structure is determined, the position of the rotating structure is determined. The tracking CSLDV system can generate a scan path on the rotating structure and control its laser spot to sweep along the scan path. A newly developed improved demodulation method is used to process measured data of response of the rotating structure under random excitation and estimate its modal parameters including damped natural frequencies and undamped mode shapes. Damped natural frequencies of the rotating structure are estimated from fast Fourier transforms of measured data. Undamped mode shapes are estimated by multiplying measured data by sinusoidal signals whose frequencies are estimated damped natural frequencies and applying low pass filters to measured data multiplied by the sinusoidal signals. Experimental investigation of the edge detection method is conducted by using the tracking CSLDV system to track and scan a rotating fan blade. Modal parameters of the rotating fan blade under random excitation with different constant speeds and its instantaneous undamped mode shapes with a non-constant speed are estimated. © 2024, The Society for Experimental Mechanics, Inc.

关键词： Modal analysis

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Design process in Visual Programming: Methods for Visual and Temporal analysis 20

Design Process in Visual Programming: Methods for Visual and...

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20th Sound and Music Computing conference, SMC 2023

作者： Armitage, Jack Magnusson, Thor McPherson, Andrew Intelligent Instruments Lab Iceland University of the Arts Reykjavik Iceland Augmented Instruments Lab Dyson School of Engineering Imperial College London London United Kingdom

ISBN: (纸本)9789152773727

Visual programming languages, such as Pure data (Pd) and Max/MSP, have been prevalent in computer music for nearly three decades. However, few shared and consistent research methods have emerged for studying the reproducible use of digital musical instrument (DMI) designers employing these languages. In this paper, we introduce straightforward methods for extracting design process data from Pd usage through automated version control and protocol-based annotation. This data enables visual and temporal analysis, which can reveal patterns of DMI design cognition and collaboration processes. Although our focus is on design, we believe that this approach could also benefit creativity studies and musicological analysis of the compositional process. We present the outcomes of a study involving four groups of DMI designers in a one-hour closed activity and demonstrate how these analysis methods can be used to gain additional insight by comparing them against participant survey data. In discussing how these methods could be enhanced and further developed, we address validity, scalability, replicability, and generalisability. Lastly, we examine motivations and challenges for DMI design cognition research. © 2023 Jack Armitage et al.

关键词： Computer music

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Research on Optimization and Performance Improvement of UAV Embedded Flight control System Based On C Language 11th

Research on Optimization and Performance Improvement of UAV ...

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11th International conference on Applications and Techniques in Cyber Intelligence, ATCI 2023

作者： Zhang, Haiming Xie, Junxuan School of Electronic Information Engineering Wuhan Donghu University Hubei Wuhan430000 China School of Construction Management Chongqing Metropolitan College of Science and Technology Chongqing Yongchuan402160 China

With the rapid development of electronic information technology, the performance of embedded microcontroller is constantly improved, and the software of UAV flight control system is also developing in the direction of multi-function and multi-task. Traditional flight control software is usually written in C language, resulting in its scalability and modular design is limited. In view of the relatively consistent core content of the flight control system software, object-oriented thought and component technology are introduced to carry out modular design and implementation of the core part, improve the scalability and flexibility of the system, and facilitate the rapid addition of new functions. Based on the analysis of the shortcomings of the existing flight control software design, this paper proposes to use C++ language to componentize the driver code, design each submodule in the form of classes, and build the overall software framework according to the dependence relationship of the software level. Through component technology, the design and implementation of the driving component are completed, and the design principle of the driving component is discussed, and the implementation process of the component is explained in detail through the concrete code, and the derivation relationship between the components is analyzed. The subscription-release communication mechanism based on component relationship is designed, the communication interface between modules is standardized, and the independence of each module of flight control software is improved. Based on the driver component, the design and implementation of each task thread are completed, the data interaction and synchronization relationship between the task threads are discussed in detail, and the implementation details and execution process of the task thread are analyzed in combination with specific components. The relationship between the driver component and the task is sorted out, the integration of fl

关键词： C++ (programming language)

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analysis of building energy performance based on sensor data for building retrofitting 36

Analysis of building energy performance based on sensor data...

引用

36th International conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023

作者： Vicente, Noelia Zurro, Belén González, Sara Ruiz, Imanol Sala, José María González, José Manuel Picallo, Ana Derio Spain University of Burgos Burgos Spain University of Basque Country Vitoria-Gasteiz Spain University of Basque Country Bilbao Spain

ISBN: (纸本)9781713874928

The current building stock is responsible for a large part of the final energy consumption in Europe and most of it presents the greatest potential for energy savings. One of the most important steps in the retrofitting process is to understand its pre-retrofitting stage energy performance, and the building energy simulation (BES) models can play a significant role in that sense. In this paper, a building case study has been monitored during a whole year. A methodology has been developed specifically for the pre-processing procedure of the building monitored data. Then, based on the available detailed building drawings, building operational data and the data sets obtained after data calibration, a first approach of a BES model is carried out. In addition, some window samples have been tested in the Laboratory of Building Quality control of the Basque Government to measure their thermal transmittance. These samples will be introduced in the BES model in future works, to evaluate the reduction in heating demand after the windows replacement. A sensibility analysis of the recorded data justifies their good quality. In consequence, the accumulated heating energy supplied by the boiler reaches a value of 44.05 MWh in the monitored year and the total electric energy consumption is 16.71 MWh. © (2023) by ECOS 2023 All rights reserved.

关键词： Buildings

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AGS-DelayLink: dependence analysis between airport ground service subprocess and flight departure delay 8

AGS-DelayLink: dependence analysis between airport ground se...

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8th International conference on Traffic Engineering and Transportation System, ICTETS 2024

作者： Xia, Huan Zhang, Lin Li, Kepin Chen, Zhe Jiang, Chaozhe Deng, Qiangqiang School of Transportation and Logistics Southwest Jiaotong University Chengdu611756 China The Second Research Institute of Civil Aviation Administration of China Chengdu610041 China AeroSat Link Technology Co. Ltd Beijing100080 China Civil Aviation University of China Tianjin300300 China

ISBN: (数字)9781510686298

ISBN: (纸本)9781510686281

Accurately identifying and mitigating the ground service processes that significantly impact flight departure delays is crucial for promoting the sustainable development of the civil aviation industry. This paper presents AGS-DelayLink, a novel method for analyzing the complex dependencies between airport ground service subprocesses and flight departure delays. Our approach addresses several key challenges: (1) The multiplicity and complexity of ground service chain subprocesses;(2) The propagation of delays through interconnected subprocesses;and (3) The fuzzy dependency between absolute subprocess completion times and relative delay times. The AGS-DelayLink method comprises two main components: (1) A fuzzy process mining technique to construct a comprehensive model of ground service operations from real-world operational data. This approach captures the complex, often parallel nature of airport ground services more accurately than traditional process modeling techniques. (2) A sophisticated random forest regression model that leverages time difference features derived from the process model to analyze subprocess-delay relationships. We employ Variable Importance (VI) and Partial Dependence analysis (PDA) techniques to quantify both the overall importance of each subprocess and its specific impact on delay times. We applied AGS-DelayLink to a large dataset from a major international airport, analyzing 172,538 flights over a 5-month period. Our results reveal critical subprocesses with the highest impact on delays. For domestic flights, 'Application Pushback to Approve Pushback' and 'Scheduled Arrival to On-Block' showed the highest average rates of change at 0.74 and 0.71 respectively. For international flights, 'On-Bridge to Open Cabin Gate' and 'Application Pushback to Approve Pushback' were most influential, with rates of 0.77 and 0.70. This study contributes to the growing body of literature on flight delay analysis by introducing a novel method that combines f

关键词： Air transportation

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Dynamic data-Based modeling for Froth Flotation process

Dynamic Data-Based Modeling for Froth Flotation Process

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Indian control conference (ICC)

作者： Priyanka D. Pantula Department of Chemical Engineering Indian Institute of Technology (Indian School of Mines) (IIT ISM) Dhanbad Dhanbad Jharkhand India

ISBN: (数字)9798331517212

ISBN: (纸本)9798331517229

Froth flotation is a widely used technique for mineral separation, but it poses significant challenges for modeling due to the complex phenomena that happen during the process. To account for the implementation of optimization and control-related studies in flotation systems, this work deals with the development of a digital twin or surrogate to the original model for the froth flotation system. Initially, a first-principles, three-phase model having 61 equations (7 Ordinary Differential Equations and 54 nonlinear equations) was considered and implemented. The model consists of four inputs, a set of initial conditions for feed, one primary output, and sixteen intermediate outputs. 15,000 time-series data were sampled from the physics-based model to initiate the data-driven modeling. The well-known recurrent neural network variants, namely RNN, LSTM, and GRU, were developed as potential surrogates for the three- phase model by following a multi-input and single-output approach. On performing a comparison study for all the output predictions on test data, it was found that GRU outperforms LSTM and RNN for a majority of the outputs (9 out of 17), especially for highly dynamic ones. Also, GRU consists of 25% fewer model parameters than LSTM networks, which thereby decreases the time for training and reduces the load on the optimizer. Overall, this study provides a deep understanding of froth flotation dynamics and establishes the efficacy of advanced neural network architectures in enhancing predictive modeling in mineral separation processes.

关键词： Recurrent neural networks Manufacturing processes Computational modeling Predictive models Mathematical models Minerals Separation processes Long short term memory Optimization Load modeling

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Practical Attribute-Based Multi-keyword Search Scheme with Sensitive Information Hiding for Cloud Storage Systems 16th

Practical Attribute-Based Multi-keyword Search Scheme with ...

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16th Annual International conference on Combinatorial Optimization and Applications, COCOA 2023

作者： Zhao, Jie Huang, Hejiao Xu, Yongliang Zhang, Xiaojun Du, Hongwei Shenzhen518055 China School of Mathematics and Statistics Fuzhou University Fuzhou350108 China School of Computer Science Research Center for Cyber Security Southwest Petroleum University Chengdu610500 China

ISBN: (纸本)9783031496134

Attribute-based multi-keyword search (ABMKS) facilitates searching with fine-grained access control over outsourced ciphertexts. However, two critical issues impede wide application of ABMKS. Firstly, the majority of ABMKS schemes have suffered huge computation and communication costs in the process of ciphertexts matching and transmission. Secondly, the contents of data file containing sensitive information are encrypted as a whole, and data users with varying roles should have different access rights to the ciphertext returned by cloud, thereby preventing sensitive information in data files from being leaked to semi-trusted data users. In this paper, we tackle the issue of content access rights by introducing sensitive information hiding, a novel concept in the field of attribute-based keyword search. Specifically, we propose a practical multi-keyword search scheme with sensitive information hiding by integrating a modified blindness filtering technique into ciphertext policy attribute-based encryption under the multi-keyword search model. To minimize communication costs in the ciphertext transmission process, we utilize a super-increasing sequence to aggregate multiple blinding data blocks into a single ciphertext. The ciphertext can be recovered by using a recursive algorithm. Security analysis proves that our scheme is provably secure within the random oracle model, it guarantees keyword secrecy and selective security against chosen-keyword attacks. Performance evaluations demonstrate that our scheme surpasses state-of-the-art ABMKS schemes, making it highly suitable for cloud storage systems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Access control

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An Experimental analysis of Various Deep Learning Architectures for the Classification of Cognitive Stimuli based EEG Signals 15

An Experimental Analysis of Various Deep Learning Architectu...

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15th International conference on Advances in Computing, control, and Telecommunication Technologies, ACT 2024

作者： Sarkar, Prashant Srinivasan Kanaga, E. Grace Mary Bhuvaneshwari, M. Mathew, Joel Stephen, Caleb Karunya Institute of Technology and Sciences Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798331300579

The human brain functions through electrical signals. By measuring these signals, one can monitor brain activity and gain insights into the brain function of the subject. An electroencephalogram (EEG) allows one to monitor brain activity by having the subject wear an array of sensors on their head. This process is frequently used to diagnose medical conditions such as epilepsy. In recent years, there have been efforts to use EEG signals in concert with deep learning to create a brain computer interface (BCI). Such a device would enable the wearer to communicate to a system via brain signals. While such a system would not be so advanced as to enable the translation of complex thoughts, it would enable a user to command a machine to perform a small number of functions. The objective of this paper was to develop and optimize recurrent neural network architectures for use with a brain computer interface. Using EEG data collected from subjects, a variety of neural network models were created to learn from the data. The models that were used were simple recurrent neural networks (RNN), long short-term memory (LSTM), and gated recurrent units (GRU). This paper proposes a novel approach to EEG signal classification, demonstrating the capabilities of recurrent networks which are seldom explored for this purpose. This study produced promising results for recurrent models, obtaining a 91% accuracy with the 4-layer LSTM architecture. This presents a solid foundation for the argument that LSTM and similar architectures are feasible for BCI applications. © Grenze Scientific Society, 2024.

关键词： Electroencephalography

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