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Developing License Plate Recognition System Using advanced SCRFD and LPRNet

Developing License Plate Recognition System Using Advanced S...

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IEEE International conference on Research, Innovation and Vision for the Future

作者： Phat Nguyen Huu Nghia Duong Tan Thien Pham Ngoc Thi Thu Trang Pham Thanh Le Hai Tien Dzung Nguyen Quang Tran Minh Hanoi University of Science and Technology Hanoi Vietnam Ho Chi Minh City University of Technology (HCMUT) Ho Chi Minh City Vietnam Vietnam National University Ho Chi Minh City (VNU-HCM) Ho Chi Minh City Vietnam

ISBN: (数字)9798331505073

ISBN: (纸本)9798331505080

The paper focuses on solving three main problems in license plate recognition in intelligent traffic. The first is to detect and classify vehicles right at the red light waiting area. The second is to detect license plates from cars detected from problem one. Finally, detect the character on the license plate. We have selected the SCRFD model - a well-known model for face detection for the first two problems of vehicle detection and license plate detection. This paper modified this vehicle and license plate detection model based on key points. The model is trained with vehicle image data on Vietnamese streets to improve the performance of vehicle and license plate detection. The results show that the SCRFD model has an accuracy of 99.48% with a processing speed of 17.075 ms, which is suitable for real-time requirements and achieves good results even in the case of heavy traffic. We use the LPRNet model to simulate character recognition for the third problem of character detection. As a result, the system could recognize with 95% accuracy and a processing speed of 3 ms. This shows that the system is feasible when applied in practice.

关键词： Accuracy signal processing algorithms signal processing Feature extraction Real-time systems Character recognition Face detection License plate recognition Monitoring Accidents

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Control of high-performance permanent-magnet synchronous motors for underwater vehicles

Control of high-performance permanent-magnet synchronous mot...

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American Control conference (ACC)

作者： S.E. Lyshevski C.J. Egan J.R. Raposa A. Menozzi D. Thivierge G. Goddu L. Smith Department of Electrical Engineering Purdue University Indianapolis Indianapolis IN USA Division Newport Naval Undersea Warfare Center Newport RI USA

The major goal of the paper is to perform advanced studies in nonlinear analysis, design, control, and deployment of advanced propulsion systems for underwater vehicles. Propulsion systems integrate permanent-magnet synchronous motors, power converters, microprocessors, and sensors. There is a critical need to perform advanced nonlinear analysis and design of electric motors. The use of advanced microprocessors and DSPs allow the designer to perform intelligent decision making and learning control. Due to extremely complex nonlinear electromagnetics phenomena, research in electric machinery has not kept the pace of the benchmarking advantages in power electronics and DSPs. In the paper, advanced analysis and design are performed to provide the means for developing high-performance propulsion systems for underwater vehicles in order to reduce the current drawbacks and satisfy requirements and specifications imposed. In particular, we approach and solve extremely challenging nonlinear analysis and control problems for high-performance propulsion systems without placing the problem into the frame of assumptions and simplifications which lead to unsatisfactory performance. Using a set of nonlinear differential equations, which describe permanent-magnet synchronous motor dynamics, an innovative design method is proposed, and nonlinear control algorithms are synthesized. It must be emphasized that the reported results have been implemented, verified, and deployed.

关键词： Synchronous motors Performance analysis Propulsion Control system analysis Nonlinear control systems Control systems Underwater vehicles Microprocessors Intelligent sensors Digital signal processing

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P300 based BCI messenger

P300 based BCI messenger

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IEEE/ICME International conference on Complex Medical Engineering, CME

作者： Yi Li Jianhui Zhang Yu Su Weidong Chen Yu Qi Jicai Zhang Xiaoxiang Zheng College of Computer Science and Qiushi Academy for Advanced Studies University of Zhejiang Hangzhou China Department of Biomedical Engineering and Qiushi Academy for Advanced Studies University of Zhejiang Hangzhou China

A brain-computer interface (BCI) is a communication system that helps locked-in patients to communicate with other people by translating brain activities into machine/computer commands. This paper introduces a BCI instant messaging system (i.e. BCI messenger), which is further work of the P300-based Chinese typewriter developed in the preceding research. The BCI messenger can serve as a daily communication tool, with which the patients can type and send messages to either computer clients or cell phones. The typewriter interface is implemented following the design of modern cell phone keypad, where every key can act as a specific element in different input modes and multiple input modes including Chinese, English, numbers and symbols are integrated. Since P300 potentials exhibit various amplitudes and latencies on different individuals, some intensification parameters (e.g. variable stimulus round, inter-stimulus interval), and even some advanced intensification methods (e.g. stimulus size enhancement) could be customized to reinforce the elicitation of P300. Six subjects participated in the experiments of the BCI system above. A short training period is requested to allow task completion, and after about one hour's practice, most of the subjects learned to operate the typewriter. All participators showed a gradual performance increase across sessions and average accuracy in the best condition for each subject surpassed 80%. Besides, effect of different electrode configurations and machine learning algorithms on classification accuracy is tested. The experiment results demonstrate that BCIs can provide locked-in patients with effective communication.

关键词： Electroencephalography Cellular phones Brain computer interfaces Intersymbol interference Testing Muscles Computer science signal resolution Data acquisition signal processing

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Automatic modeling and classification of vitreomacular traction pathology stages

Automatic modeling and classification of vitreomacular tract...

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Workshops on Image processing Theory, Tools and Applications, IPTA

作者： Agnieszka Stankiewicz Tomasz Marciniak Adam Dąbrowski Marcin Stopa Piotr Rakowicz Elżbieta Marciniak Division of Signal Processing and Electronic Systems Poznan University of Technology Poznanq Poland Department of Optometry and Biology of Visual System Poznan University of Medical Sciences Poznan Poland Clinical Eye Unit and Pediatric Ophthalmology Service Poznan University of Medical Sciences Poznan Poland

Retinal pathologies that are detected too late and/or left untreated can seriously damage eyesight. It is important to monitor the retina and react to any pathological changes. A fast, accurate, non-invasive, and even three-dimensional retina examination is the optical coherence tomography (OCT). In this paper we propose a new automated classification method for evaluation of vitreomacular interface (VRI) in human eyes. We present an approach for modelling changes in retina structure during the progression of vitreomacular traction (VMT) pathology. Presented experiments were performed on volumetric data acquired from adult patients with the use of Avanti RTvue device. advanced digital image processing algorithms were subsequently applied to each OCT cross-section (B-scan) for image denoising and flattening, as well as retina layers segmentation. The proposed solution has a good accuracy and almost all subjects were successfully classified into one of 4 groups corresponding to various stages of VMT. The developed models of VMT stages show a high potential of the proposed method to support ophthalmologists in making appropriate clinical decisions.

关键词： Retina Pathology Surface topography Distortion Shape Three-dimensional displays Computational modeling

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Design and implementation of all-digital receivers for mobile communications

Design and implementation of all-digital receivers for mobil...

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IEEE conference on Vehicular Technology (VTC)

作者： R. Subramanian M. Barberis F. Gerbig B. Ghosh Synopsys Inc. Mountain View CA USA

The ability to turn advanced digital receiver concepts into silicon VLSI is fast becoming the key factor in competing successfully to realize commercial mobile communication systems. Behavioral synthesis is central to the next-generation of high-level VLSI design automation tools that allow designing at the algorithm level and rapid exploration of the VLSI architecture space. We demonstrate how to leverage behavioral synthesis technology in the design of digital transceivers. We propose and demonstrate a new DSP system design methodology where digital communications engineers can interactively explore detection and estimation algorithms, architectures, and their IC implementation. We demonstrate how the designer can explore algorithms and architectures using three examples from portable and mobile communication modem applications: an MFSK receiver for paging applications, a receiver front-end channel filter for a wideband modem, and a Viterbi decoder used for trellis-coded modulation. Using the methodology, we demonstrate how system designers can exercise control over algorithm parameters as well as architectural parameters such as hardware area, speed, and latency. This allows algorithm designers to quickly explore different VLSI architectures that execute the same algorithm.

关键词： Very large scale integration Algorithm design and analysis Mobile communication Space technology Modems Silicon Design automation Transceivers Digital signal processing Digital communication

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Monophonic Audio-Based Automatic Acoustic Guitar Tablature Transcription System with Legato Identification

Monophonic Audio-Based Automatic Acoustic Guitar Tablature T...

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IEEE Region 10 International conference TENCON

作者： Moira Kelly Boloyos Thea Kaylee Libunao Jerome Masilungan Franz de Leon Crisron Rudolf Lucas Carl Timothy Tolentino EEEI University of the Philippines-Diliman Quezon City Philippines Advanced Science and Technology Institute (DOST-ASTI)

ISBN: (纸本)9781665495332

Music transcription plays a significant role in the music community in terms of learning and sharing knowledge about musical pieces. However, for guitar tablatures, most existing transcription systems fail to incorporate articulation detection. In this study, an automatic guitar transcription (AGT) system, which uses a monophonic guitar recording as input to detect and identify the string-fret combinations and articulations (legato) played, was developed. algorithms for each system block were chosen and modified to fit the system specifications. Results show that the modifications led to improvements in the string-fret block accuracy, from 78% to 87%, and the articulation block F-measure, from 59% to 84%. The AGT system was also compared with a commercial music transcription application. While both were trained on different data sets, the AGT system outperformed the latter, with the system having 78.65% string-fret accuracy and 93.23% articulation accuracy compared to the commercial application's 48.44% string-fret accuracy and 70.31% articulation accuracy.

关键词： Training Databases conferences Merging Buildings signal processing algorithms Music

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Optimally Tuned Controller for Single-Phase Grid-Connected PV Micro-Inverters

Optimally Tuned Controller for Single-Phase Grid-Connected P...

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International conference on Computing, Communication & Automation (ICCCA)

作者： Mohammad Parvez Md. Rabiul Islam Md. Alamgir Hossain Derek Abbott Said F. Al-Sarawi School of Electrical and Electronic Engineering The University of Adelaide Adelaide Australia School of Electrical Computer and Telecommunications Engineering The University of Wollongong NSW Australia Queensland Micro and Nantechnology Centre The Griffith University Nathan Australia

ISBN: (纸本)9781665447539

Photovoltaic energy from renewable sources is becoming more prevalent nowadays, as part of the process of converting this energy to AC voltage and feeding it into the power grid network, the output voltage or injected current total harmonic distortion (THD) should be low, usually below 5 %. This unwanted distortion can lead to increased current in the PV inverter resulting in higher temperature and additional energy loss. To suppress injected grid current THD, an advanced controller, i.e. a proportional resonant (PR) control design is commonly used. In this work, we report an approach to optimally select parameters (K p , K i and W c for this controller to suppress the THD, reduce leakage current, and ensure a unity power factor operation in the system. The control algorithm is implemented in an integrated digital signal processing evaluation board from TI - TMS320F28335 eZdsp board. In this paper, both simulation and experimental results are provided to demonstrate the effectiveness of the proposed technique in reducing the injected current THD through the development of 500 W micro-inverter prototype as a case study.

关键词： Photovoltaic systems Total harmonic distortion Renewable energy sources Reactive power Simulation signal processing algorithms Prototypes

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Precision environmental radiation monitoring system

Precision environmental radiation monitoring system

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International conference on Advancements in Nuclear Instrumentation Measurement Methods and their Applications (ANIMMA)

作者： Vladimir Popov Pavel Degtiarenko Newport News Thomas Jefferson National Accelerator Facility VA USA

A new precision low-level environmental radiation monitoring system has been developed and tested at Jefferson Lab. This system provides environmental radiation measurements with accuracy and stability of the order of 1 nGy/h in an hour, roughly corresponding to approximately 1% of the natural cosmic background at the sea level. advanced electronic front-end has been designed and produced for use with the industry-standard High Pressure Ionization Chamber detector hardware. A new highly sensitive readout electronic circuit was designed to measure charge from the virtually suspended ionization chamber ion collecting electrode. New signal processing technique and dedicated data acquisition were tested together with the new readout. The designed system enabled data collection in a remote Linux-operated computer workstation, which was connected to the detectors using a standard telephone cable line. The data acquisition system algorithm is built around the continuously running 24-bit resolution 192 kHz data sampling analog to digital convertor. The major features of the design include: extremely low leakage current in the input circuit, true charge integrating mode operation, and relatively fast response to the intermediate radiation change. These features allow operating of the device as an environmental radiation monitor, at the perimeters of the radiation-generating installations in densely populated areas, like in other monitoring and security applications requiring high precision and long-term stability. Initial system evaluation results are presented.

关键词： Radiation monitoring Sea measurements Ionization chambers Detectors Circuits signal processing algorithms Data acquisition System testing Stability Sea level

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Development and Implementation of the Level 0 Pixel Trigger System for the ALICE Silicon Pixel Detector

Development and Implementation of the Level 0 Pixel Trigger ...

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2007 IEEE Nuclear Science Symposium conference, vol.6

作者： Gianluca Aglieri Rinella Alexander Kluge Fabrice Pancher CERN European Organisation for Nuclear Research (CERN) Geneva Switzerland IN2PR/CNRS Laboratoire de Physique Subatomique et de Cosmologie Grenoble France

The Silicon Pixel Detector (SPD) of the ALICE experiment at CERN Large Hadron Collider contains 1200 readout chips. Low latency Fast-OR signals indicate the presence of at least one hit in the 8192 pixel matrix of each chip within 300 ns from the interaction time. The 1200 Fast-OR bits are transmitted every 100 ns on 120 data readout optical links, using the G-Link protocol. The Pixel Trigger System extracts and processes them to deliver an input signal to the Central Trigger Processor within an overall latency of 800 ns from the interaction. Therefore the prompt SPD Fast-OR signals can be used in the first level (Level 0) trigger decision of the experiment. The Pixel Trigger System is very compact, modular and based on FPGA devices. Its architecture allows the user to define and implement various Fast-OR processing algorithms, based on topology and occupancy. The system receiver boards use advanced 12-channel parallel optical fiber receiver modules operating at 1310 nm and 12 deserializer chips closely packed in a small area. This paper describes the development of the Pixel Trigger System with the solutions adopted to satisfy a set of specific requirements. The design constraints, the chosen architecture and a description of the system are detailed first. The implementation of the system and the first integration tests are then presented.

关键词： Silicon Detectors Delay Optical receivers Large Hadron Collider Optical fiber communication Protocols Data mining signal processing Field programmable gate arrays

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Noise and performance analysis on fundus images with CNN and transformer models

Noise and performance analysis on fundus images with CNN and...

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conference on Information and Communication Technology (CICT)

作者： Niranjana Vannadil Priyanka Kokil Department of Electronics and Communication Engineering Advanced Signal and Image Processing (ASIP) Lab Indian Institute of Information Technology Design and Manufacturing Kancheepuram Chennai

Fundus imaging is a valuable diagnostic tool in ophthalmology, providing clinicians with detailed visualizations of the retina and aiding in the detection and monitoring of various eye diseases, including age-related macular degeneration (AMD), glaucoma, diabetic retinopathy (DR), and cataract. However, the quality of fundus images can be significantly affected by noise, mainly additive white Gaussian noise (AWGN), which is inherent in many imaging systems. The presence of noise in real-world data poses significant challenges for computer vision tasks. In the field of medical image classification, a wrong diagnoisis has heavy consequences. Understanding the impact of AWGN on fundus images is crucial for developing practical denoising algorithms and improving diagnostic accuracy. This work presents an analysis of AWGN noise in fundus images aims to characterize its effects on image quality and assess its impact on diagnostic tasks. The work also analyzes the performance of six models (3 each) of two popular deep learning architectures, Convolutional Neural Networks (CNN) and Vision Transformers (ViT) in the presence of AWGN. AWGN is first introduced to the clean image datasets to conduct the analysis. The CNN and ViT models are trained on the noisy datasets to evaluate the performance of the image classification task. The work also involves six denoising algorithms and a popular image enhancement algorithm- Contrast Limited Adaptive Histogram Equalization (CLAHE).

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