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检索条件"主题词=Software Algorithms"

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Implementation of Power Battery Voltage Fault Diagnosis System Based on Improved Shannon Entropy Algorithm

Implementation of Power Battery Voltage Fault Diagnosis Syst...

引用

IEEE International Conference on Networking, Sensing and Control

作者： Weidong Fang Yiting Jiang Hao Lv Fujian Key Laboratory of Automotive Electronics and Electric Drive Fujian University of Technology Fuzhou China

ISBN: (纸本)9781665440493

Nowadays, electric vehicles have become one of the most promising new products. The research on the faults in the power battery system can effectively diagnose the faults in the power battery system, predict the occurrence of faults, and improve the service life of the power battery system. This paper uses Matlab / Simulink to simulate the sensor data acquisition system. It builds our own database on software to receive the data sent by MATLAB, and sends the data in the format of can message, so as to build the joint simulation system of CANoe and MATLAB. This enables data exchange between the *** connecting Jetson Nano with CANoe software and big data platform onenet, the principle of Shannon entropy algorithm is studied, and the improved Shannon entropy is realized through software programming. The big data platform displays the single cell voltage data obtained by Jetson nano and the results of single cell voltage through Shannon entropy algorithm. The experimental results show that Shannon entropy can predict the voltage undervoltage fault of single cell 52 seconds in advance.

关键词： Fault diagnosis software packages software algorithms Big Data Predictive models Prediction algorithms Entropy

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Estimations of vehicle driving state and road friction coefficient based on High-degree cubature Kalman filter of distributed drive electric vehicles *

Estimations of vehicle driving state and road friction coeff...

引用

Conference on Vehicle Control and Intelligence (CVCI)

作者： Yongle Feng Bin Zhang Rongyun Zhang Peicheng Shi Zhen Wang Chenglong Zhou School of Mechanical Engineering Anhui Polytechnic University Wuhu China

ISBN: (纸本)9781665408486

It is necessary to improve the estimated accuracy of vehicle driving state and road friction coefficient for distributed drive electric vehicles. This paper proposed an estimation algorithm of vehicle driving state and road friction coefficient based on high-degree cubature Kalman filter. First, a 3 degrees-of-freedom nonlinear vehicle dynamics model with Dugoff's tyre friction model is established; Then, a high-degree cubature Kalman filter-based algorithm for estimating vehicle driving state was designed, and the relationship between vehicle state data and road friction coefficient was used to estimate the road friction coefficient; Finally, a distributed drive electric vehicles model was built with Carsim/Simulink software for validating the estimation algorithm. The results show that the estimation accuracy of the algorithm based on high-degree cubature Kalman filter is higher than that of the algorithm based on traditional cubature Kalman filter.

关键词： Friction Roads Heuristic algorithms Vehicle driving software algorithms Estimation Drives

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Analysis of the DCS Historical Data for Estimation of Input Signal Significance

Analysis of the DCS Historical Data for Estimation of Input ...

引用

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

作者： Edik K. Arakelyan Mahsud M. Sultanov Ilya A. Boldyrev Yulia A. Gorban Kirill V. Evseev National Research University “MPEI” Moscow Russian Federation Volzhsky branch of National Research University “MPEI” Volzhsky Russian Federation

ISBN: (数字)9781728183985

ISBN: (纸本)9781728183992

The paper is on technological parameters data processing and analysis for further input signal significance estimation. In the paper the data retrieving from distributed control system software and hardware complex historical database is described and the algorithm of data formatting and processing is presented along with the examples. The problem of input signal impact on thermal power plant technical-and-economic indices is addressed in the research. The chosen data analysis tools are described and the plots and diagrams used to illustrate the data are presented. The novel parameter and group of parameters visualization approach is introduced. The possible ways of automating the database interaction and data analysis are proposed.

关键词： Data analysis software algorithms Estimation Distributed databases Data visualization Hardware Power generation

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Metal Artifact Reduction based on 2D-Projection Correction for Dental Cone-beam CT Images

Metal Artifact Reduction based on 2D-Projection Correction f...

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Biomedical Engineering International Conference (BMEiCON)

作者： Walita Narkbuakaew Sorapong Aootaphao Chalinee Thanasupsombat Saowapak S. Thongvigitmanee Medical Imaging System Research Team Assistive Technology and Medical Devices Research Center National Science and Technology Development Agency Pathumthani Thailand

ISBN: (纸本)9781665426282

Metal artifacts causing dark and bright streaks normally appears in CT or CBCT data when a metallic object is embedded inside a field of view (FOV). These artifacts degrade image quality and distort anatomical structures. To solve this problem, we present a new metal artifact reduction (MAR) method. The proposed method was based on correction of 2D raw projection data and implemented as a plug-in of the reconstruction software. To accelerate computation, the proposed method used C++ and CUDA language to operate on graphic processing units (GPUs). We applied the proposed method to several dental CBCT data and executed the proposed method with full and short-scan CBCT reconstruction algorithms. The results showed that the proposed method obviously reduced the metal artifact, performed quickly, and collaborated well with both reconstruction algorithms.

关键词： Image quality Computed tomography software algorithms Metals Graphics processing units Implants Reconstruction algorithms

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Implementation of AES To Encrypt and Decrypt Speech Using LUT With Mux Gates

Implementation of AES To Encrypt and Decrypt Speech Using LU...

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International Conference on Advanced Computer Control, ICACC

作者： Kezia Teresa Augustine U Purushotham PES University Bangalore India

ISBN: (纸本)9781665439206

Cryptography has become a vital aspect of our life with or without our knowledge. It protects our data by ensuring that only the intended persons receive the *** of the most used and standardised cryptographic algorithms is the Advanced Encryption Standard (AES). The paper implements a system that makes the current AES cryptosystems more efficient with improved resource utilisation and delay. This is achieved by replacing the conventional S-box with a new S-box that makes use of Look-Up Table (LUT) made with Multiplexer (Mux) units. The input data to the system is chosen as a speech signal which is pre-processed using MATLAB. The AES algorithm is programmed using Verilog HDL. The algorithm is coded in Xilinx Vivado software. Simulation results of the conventional and proposed systems are taken and compared.

关键词： System performance software algorithms Logic gates software Table lookup Encryption Delays

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YOLOv5 based Open-Source UAV for Human Detection during Search And Rescue (SAR)

YOLOv5 based Open-Source UAV for Human Detection during Sear...

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International Conference on Advanced Computer Control, ICACC

作者： M S Sruthi Manal Jaleel Poovathingal V N Nandana S Lakshmi Mohamed Samshad V S Sudeesh Govt. Engineering College Thrissur Thrissur India ICFOSS Thiruvanathapuram India

ISBN: (纸本)9781665439206

Floods and earthquakes are among the most frequently occurring natural disasters. They account for high mortality rates due to their rapidness and uncertainty of occurrence. Inundated lands require a quick response for rapid evacuation, arresting fatalities, and consequential economic losses. People tend to seek shelter at dry and open lands at times of calamity. The manual Search and Rescue (SAR) operations have their shortcomings due to the difficulties in identifying the human presence. It requires a longer time for evacuation and therefore increased mortalities. This paper proposes a quadcopter for real-time monitoring of isolated places and automatically detecting stranded humans during floods using image processing techniques at affordable rates. Live video streaming is possible with a camera and a video transmission system attached to the quadcopter. The rescue centers automatically receive the location of humans in case of human detection. Our model integrates an Open-Source autopilot system model, APM 2.8 multicopter flight controller that efficiently stabilizes the flight, and a YOLOv5 object tracking convolutional neural network algorithm for faster detection of human beings. The model is trained using a dedicated dataset of more than 1000 images and attains 0.954 mAP. We have developed a drone using open-source hardware and software tools, conducted test flights to check its stability and the efficiency of the object detection algorithm. We also conducted a mini-survey of one of the most flood-prone areas of Thrissur district in Kerala, using Mission Planner open-source software to evaluate how quickly our drone can assess the entire area. The aim is to save more human lives by quick and efficient aerial assessment in the most cost-efficient manner.

关键词： Uncertainty software algorithms Streaming media Cameras Real-time systems Hardware Floods

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Multi-Sensor Measurements Fusion for Passive Target Tracking in Underwater

Multi-Sensor Measurements Fusion for Passive Target Tracking...

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Advances in Computing, Communication Control and Networking (ICAC3N), International Conference on

作者： S. Koteswara Rao Kausar Jahan Koneru Lakshmaiah Education Foundation Vaddeswaram Guntur Andhra Pradesh India

ISBN: (纸本)9781665438124

The pivot goal of estimation algorithms is to generate information with a quality higher than that of raw measurements available and to extract the information that can be obtained indirectly from the available measurements. To fulfill this aim, the measurements from multiple sensors are combined to get a more accurate and reliable estimate of the target. In this research work, measurements from five multiple sensors are combined to get different motion parameters of the desired target. The sub-optimal filter, Unscented Kalman filter is considered for the performance analysis of the algorithm. The simulation is carried in MATLAB software using the Monte-Carlo simulation method for better analysis of the results.

关键词： Target tracking Sonar measurements software algorithms Sonar Signal processing algorithms Position measurement software

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Evaluation of Design Optimisation Techniques in Structural Framing

Evaluation of Design Optimisation Techniques in Structural F...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Luke Briese Timothy Mark Gregory Navid Mohajer Matthew Watson Shady Mohamed Saeid Nahavandi Institute for Intelligent Systems Research and Innovation Deakin University Australia

ISBN: (纸本)9781665442084

Structural design optimisation can significantly contribute to the identification of the best shape and geometry of a structure that results in lighter, stronger, and more affordable to manufacture materials for both large scale manufacturing and one-off bespoke performance components. Being both modern (evolutionary) and classic optimisation methods have had extensive focus and application in this field, an evaluation study on the performance of these methods has not been reported. This study reports a systematic comparison of the modern and classic optimisation approaches for a benchmark design optimisation problem. One algorithm will be a classic gradient-based optimisation, the second being a general Genetic Algorithm (GA) type optimisation. The results of two optimisation methods will be compared through the application of Finite Element Analysis (FEA) to evaluate both the performance of each algorithm and the real word translation of their effectiveness. The outcomes reveal that, although the gradient-based method shows better statistical results, GA can result in a superior minimum FoS of 3.5 satisfying the requirements for most common structural design applications.

关键词： Systematics Welding software algorithms Optimization methods Benchmark testing software Finite element analysis

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Transient Temperature Rise Calculation for Power Cable in Ducts under Periodical Current

Transient Temperature Rise Calculation for Power Cable in Du...

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IEEE International Conference on Power and Energy Systems (ICPES)

作者： Chenzhao Fu Yongchun Liang Jingya Wang Ziyu Zhao YuanYuan Cui State Grid Shanghai Electrical Power Research Institute State Grid Shanghai Municipal Electric Power Company Shanghai China School of Electrical Engineering Hebei University of Science and Technology Shijiazhuang China

ISBN: (纸本)9781665413268

Transient temperature rise calculation is necessary for electrical engineers to obtain the accurate cable core temperature under cyclic current condition and manage power cable load. A lumped parameter transient thermal circuit model has been developed to evaluate the real-time transient temperature rise of the power cable in ducts. The temperature rise of each cable is divided into self-heating temperature rise caused by the heat in this cable and mutual-heating temperature rise caused by nearby other cables. Because it is difficult to calculate the value of thermal parameters in the lumped parameter model, all parameters are obtained with generic algorithm. The fitness function is the difference between transient thermal circuit analysis results and CYMCAP calculation results. The results obtained form the model agree with the accurate results obtained from CYMCAP well. It proved that the model can be used as a straightforward tool to calculate the transient temperature rise of power cable in ducts under periodical current.

关键词： Inductance Power cables Thermal resistance Ducts Thermal engineering software algorithms Real-time systems

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Modeling, Simulation and Control of Close Formation Flight

Modeling, Simulation and Control of Close Formation Flight

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Chinese Automation Congress (CAC)

作者： Zheng Ruiping Shi Jingping Qu Xiaobo School of automation Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9781665426480

In this paper, we focus on the aerodynamic characteristics of aircraft flying in tight formation. The formation model of a small unmanned aircraft is studied, and the disturbance of the wake induced velocity produced by the forward aircrafts on the tail aircraft is analyzed. It is found that the lead aircraft has a significant effect on uplift and drag on the trailing airplane. This has also demonstrated that the tail planes’ aerodynamic characteristics can be enhanced when the following plane is in the proper position of the leader in the tight formation flight. Precise position control of the tail plane in general flight operations is achieved under the influence of the tail vortex. First, the mathematical model of the leader's wake vortex was developed, and then two unmanned aerial vehicles (UAVs) were simulated using computational fluid dynamics (CFD) software to verify accuracy of this mathematical model. A control algorithm was designed to realize the stability of formation flight. Mathematical simulation and validation were performed. The designed control law is able to keep the tail plane in the appropriate position in the formation flight so that the tail plane is subjected to the maximum lift.

关键词： Computational fluid dynamics Heuristic algorithms Drag software algorithms Position control Lead Aerodynamics

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