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IoT based Bidirectional Speed Control and Monitoring of Single Phase Induction Motors

IoT Based Bidirectional Speed Control and Monitoring of Sing...

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3rd international conference on Intelligent Computing and Optimization, ICO 2020

作者： Rahman, Ataur Hossain, Mohammad Rubaiyat Tanvir Siddiquee, Md. Saifullah Department of Electrical & Electronic Engineering Chittagong University of Engineering and Technology Chattogram4349 Bangladesh

ISBN: (纸本)9783030681531

This paper presents the construction and laboratory investigation of an IoT (internet of Things) based smart system to control, measure, and monitor the bidirectional speed control of single-phase induction motors (SPIM) remotely. The design prototype consisting of two single-phase induction motors demonstrates multi-motor control. The motors are turned ON and OFF by a specific relay operation. To achieve the desired motor speed, the stator voltage control method has been applied by using Pulse Width Modulation (PWM) technique. For reversing the motor direction of rotation, the stator magnetic field is reversed by swapping the contacts of auxiliary winding by relay operation. Whenever the desired value is submitted for a specific operation from a specially designed website, the desired control signal is generated from a programmed microcontroller according to the user's command via a webserver using GSM communication. Motor status data is measured using an IR sensor and observed remotely on the monitoring panel integrated with a web application. The result shows little deviation compared to direct field measurement. The IoT-based smart motor control system can be used in this modern age to continuously track, control, and monitor machines, goods, plants, etc. for versatility in multi-purpose applications. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： internet of things

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e-Fraud Prevention based on the Self-Authentication of e-Documents

e-Fraud Prevention Based on the Self-Authentication of e-Doc...

引用

international conference on the Digital Society

作者： J. M. Blackledge E. Coyle School of Electrical Engineering Systems Faculty of Engineering Dublin Institute of Technology Dublin Ireland

ISBN: (纸本)9781424458059;9780769539539

We consider a method for preventing e-Fraud in which a binary image is encrypted with a floating point cipher using a convolution operation and the output quantized into a 1-bit array generating a binary image ciphertext. The output is then `embedded' in a host image to hide the encrypted information. Embedding is undertaken either in the lowest 1-bit layer or multiple 1-bit layers. Decryption is accomplished by: (i) extracting the binary image from the host image; (ii) correlating the result with the original cipher. In principle, any cipher generator can be used for this purpose and the method has been designed to operate with 24-bit colour images. The approach has a variety of applications and in this paper, we focus on the authentication and self-authentication of edocuments (letters and certificates, for example) that are communicated over the internet and are thereby vulnerable to e-Fraud (e.g. modification, editing, counterfeiting etc.).

关键词： Cryptography Steganography Data mining Authentication systems engineering and theory internet Writing Convolution image generation Design methodology

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The error concealment feature in the H.26L test model

The error concealment feature in the H.26L test model

引用

IEEE international conference on image Processing

作者： Ye-Kui Wang M.M. Hannuksela V. Varsa A. Hourunranta M. Gabbouj Tampere International Center for Signal Processing (TICSP) Tampere Finland Nokia Mobile Software Tampere Finland Nokia Research Center Irving TX USA Tampere University of Technology Finland

This paper presents the error concealment (EC) feature implemented by the authors in the test model of the draft ITU-T video coding standard H.26L. The selected EC algorithms are based on weighted pixel value averaging for INTRA. pictures and boundary-matching-based motion vector recovery for INTER pictures. The specific concealment strategy and some special methods, including handling of B-pictures, multiple reference frames and entire frame losses, are described. Both subjective and objective results are given based on simulations under internet conditions. The feature was adopted and is now included in the latest H.26L reference software TML-9.0.

关键词： Decoding signal processing algorithms Software testing Video coding Software standards Robustness Software algorithms Proposals Video signal processing Standards development

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Deformable 3-D model based vehicle matching with weighted Hausdorff and EDA in traffic surveillance

Deformable 3-D model based vehicle matching with weighted Ha...

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international conference on image Analysis and signal Processing, IASP

作者： Bo Yan Shengjin Wang Youbin Chen Xiaoqing Ding State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory of Information Science and Technology Department of Electronic Engineering Tsinghua University Beijing China

3-D model based objects matching is a fundamental in image processing and computer vision, especially for object localization, tracking, and recognition. In this paper a new deformable models with commonly 9-12 length-angle shape parameters are used for matching, which can represent rich shape details for traffic vehicle classification. A Weighted Modified Square Haudsorff Distance (WMSHD) is designed to suppress the noise brought by the low quality of object in feature extraction, and then the weight is defined in the models and object edge points. Estimation of Distribution Algorithm (EDA) is used as the evolutionary algorithm to search the best parameters of model shape and localization with shape parameters and pose parameters. Experiments are made with histograms, curves. The matching results show that the proposed method is effective.

关键词： Deformable models Vehicles Electronic design automation and methodology Traffic control Surveillance Shape image processing Computer vision image recognition Noise shaping

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A Three-step Cooperative Spectrum Sensing Algorithm based on Historical Sensing Information Prediction

A Three-step Cooperative Spectrum Sensing Algorithm Based on...

引用

IEEE international conference on signal and image Processing (ICSIP)

作者： Gao Hongjian Lu Yang An Chunyan Huang Biyao Global Energy Interconnection Research Institute Co. Ltd. (GEIRI) Beijing China Electric Power Intelligent Sensing Technology and Application State Grid Corporation Joint Laboratory

ISBN: (纸本)9781665446006

With the proposal of ubiquitous power internet of things, the demand for the smart grid for spectrum resources is increasing. In order to improve the utilization of spectrum resources, spectrum sensing technology can be applied to the smart grid. Aiming at the problem of poor detection performance of energy detection algorithm in spectrum sensing in the presence of noise uncertainty, a three-step cooperative spectrum sensing (CSS) algorithm based on historical sensing information prediction is proposed. The algorithm divides the decision-making difficulty area caused by noise into three reliability levels and uses fuzzy logic (FL) to make the decision. When the output of FL is uncertain, exponential smoothing prediction (ESP) is used to make the decision on historical information. The analysis results show that, compared with the soft decision and reference algorithm, the proposed algorithm can effectively improve the performance of noise uncertainty and spectrum sensing without increasing the transmission overhead and computational complexity.

关键词： Fuzzy logic Uncertainty Smoothing methods Quantization (signal) Simulation Bit error rate Prediction algorithms

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Calculating the truck’s box volume with a single image under the circle projection and vanishing points constraint 14th

Calculating the truck’s box volume with a single image unde...

引用

14th international conference on Intelligent Information Hiding and Multimedia signal Processing, IIH-MSP 2018

作者： Sun, Wei Lu, Wei Zhao, Chun-Yu Guo, Bao-Long Li, Da-Jian School of Aerospace Science and Technology Xidian University Xi’an710118 China The 365 Institute Northwest Polytechnical University Xi’an710072 China

ISBN: (纸本)9783030037444

To concise the truck’s box volume measuring system, some techniques such as calculation of camera intrinsic parameters, estimation of truck’s position and orientation, and calculation the vertex coordinates on the truck’s box are discussed in details. A novel method based on one single image is proposed under the constraint information of orthogonal vanishing points and circle projection priori. Firstly, three orthogonal vanishing points are detected, the intrinsic parameters of the camera are calculated based on the vanishing points. Secondly, the world coordinate system is established at the center of one of the truck’s wheels the truck’s position and orientation related to the camera’s plane and the external facade equation of truck’s box can be figured out with the camera’s intrinsic parameters and the prior of wheel’s single circular projection. Finally, the vertex coordinates of the truck’s box are calculated based on the external facade equation and matrix equation of projection algorithm. Then the volume of truck’s box can be calculated. Experimental results show that the error of the truck’s box volume is within 5%. The proposed approach is more effective and lower cost than other state of art methods, it is a competitive approach for real-time measurement of truck’s box volume. © Springer Nature Switzerland AG 2019.

关键词： Volume measurement

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Bearing Vibration signal Restoration Method based on Fuzzy Adaptive Sliding Mode Algorithm

Bearing Vibration Signal Restoration Method Based on Fuzzy A...

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Network, Multimedia and Information technology (NMITCON) international conference on

作者： Yuze Mao Lei Shi Xiaokang Wang Chao Wang Shanghai Aerospace Control Technology Institute Shanghai China

With the development of intelligent algorithms on the internet and the widespread application of signal recovery technology in the current mechanical industry, signal recovery systems based on fuzzy adaptive sliding mode algorithms are becoming increasingly important for improving mechanical bearing fault diagnosis. In the construction of the entire mechanical bearing signal recovery model, how to improve the accuracy of signal recovery and reduce the time for model signal feature extraction is currently a key issue that needs to be urgently solved. This article conducts simulation experiments and analysis on the parameter dataset of mechanical bearing components that are prone to faults. based on the fuzzy adaptive sliding mode algorithm process, combined with adaptive law parameter calculation and fuzzy system model design, the following conclusion is drawn: the application of improved signal recovery models on the sampled four bearing component parameters has an average improvement of 6.65% in recovery accuracy and 9.25% in recovery efficiency. This method uses fuzzy adaptive sliding mode algorithm to adaptively extract fault features, accurately identify fault types and degrees, innovatively suppress noise and interference, and improve the accuracy of vibration signal recovery.

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image Processing based on Inter-frame Color Feature Matching for Visible Light Positioning

Image Processing Based on Inter-frame Color Feature Matching...

引用

signal Processing and Intelligent Computing (SPIC), international conference on

作者： Baozhu Yu Xiangyu Liu Yaoheng Chen Lei Guo Jianbo Bao Jiandong Sun School of Information Science and Engineering Shenyang Ligong University Shenyang China Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China School of Communication and Information Engineering Chongqing University of Posts and Telecommunications Chongqing China State Grid Electric Power Research Institute Nari Group Corporation Nanjing China

ISBN: (数字)9798350368888

ISBN: (纸本)9798350368895

The indoor imaging visible light positioning (VLP) technology based on the image sensor (IS) utilizes existing indoor lighting infrastructure to provide high-precision indoor positioning services. However, due to the high complexity of traditional image processing algorithms, existing VLP systems are unable to provide real-time positioning services. In response to the above issue, we propose an image processing mechanism based on the inter-frame color feature matching method, which includes the equidistant sampling processing, low complexity decoding algorithm, and color feature matching-based LED region of interest (ROI) determination method. The results show that the system average positioning delay is 80.2ms, indicating better system real-time performance.

关键词： image sensors image color analysis Education signal processing algorithms Lighting signal processing Light emitting diodes Real-time systems Decoding Delays

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Shared Waveform Design for Integrated Detection and Jamming signal based on Smart Noise Jamming of Convolution Modulation

Shared Waveform Design for Integrated Detection and Jamming ...

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IEEE international conference on signal and image Processing (ICSIP)

作者： Chunyang Li Guangxin Wu Gui Li Hui Xue Nanjing Research Institute of Electronics Technology Nanjing China

The integrated detection and jamming signal, which can realize radar detection and jamming functions at the same time, is an important research content of multifunctional RF systems. In this paper, we propose an integrated detection and jamming signal with convolution modulation of LFM signal. This integrated signal can form coherent smart noise jamming to the enemy and achieve radar detection by deconvolution and matched filtering of the echo signal. By optimizing the convolution sequence, the performance of the integrated signal after deconvolution and matched filtering is similar to or even better than that of the original LFM signal. Finally, the simulation results verify the performance of the integrated signal.

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Brightness correction and stereovision impression based methods of perceived quality improvement of CCTV video sequences

Brightness correction and stereovision impression based meth...

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4th international conference on Multimedia Communications, Services and Security, MCSS 2011

作者： Balcerek, Julian Konieczka, Adam DĄbrowski, Adam Stankiewicz, Mateusz Krzykowska, Agnieszka Poznań University of Technology Institute of Control and System Engineering Division of Signal Processing and Electronic Systems Piotrowo 3a Street 60-965 Poznań Poland

ISBN: (纸本)9783642215117

In this paper brightness correction and stereovision impression based methods of the perceived quality improvement of CCTV video sequences are presented. These methods are helpful for the monitoring operator in order to evoke attention during a long time observation. Clearness of picture is increased by using local brightness correction method. Another available option is a 3D visualization that can be used, e.g., to observe important image regions, which require an increased attention. Stereovision impression experiments and a real-time 2D to 3D video conversion tool are described. © 2011 Springer-Verlag.

关键词： Luminance

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