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检索条件"任意字段=IEEE Visual Communications and Image Processing Conference"

共 25554 条记录，以下是351-360 订阅

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Sustaining Solar Panel Cleanliness with Multiclass Classification of Panel images Using Deep Learning & ML Classifiers Trained on SVD Embeddings

Sustaining Solar Panel Cleanliness with Multiclass Classific...

引用

International conference on Computer Research and Development (ICCRD)

作者： Supratik Sekhar Bhattacharya Anusuya B School of Computing NUS Singapore Singapore School of Electrical Engineering (SELECT) Vellore Institute of Technology (VIT University) Vellore India

ISBN: (数字)9798331531881

ISBN: (纸本)9798331531898

Maintaining the optimal performance of solar panels poses a complex challenge, especially in regions abundant in solar energy like deserts and tropical areas. This research paper explores the utilization of machine learning and deep learning techniques in categorizing the states of solar panels through visual image processing. In regions where solar farms are increasingly prevalent, challenges such as dust accumulation, cracks, and delamination hinder energy production and diminish solar panel efficiency. Our study employs various machine learning classifier models and deep learning to a unique dataset comprising real-world images of solar panels categorized into distinct groups: clean panels, dusty panels, and panels exhibiting breaks and delamination. The aim is to distinguish between surfaces that are clean, cleanable (dirty), and uncleanable (surface breakage and delamination).Given the high dimensionality of our novel image data (120000), we leverage dimensionality reduction with singular value decomposition (SVD) in our study to train the machine learning classifier models. An SVD dimensionality reduction approach shows excellent compression with a compressed 10-dimensional SVD embedding obtaining high accuracies and F1 scores when used to train our ten machine learning algorithms. We obtain a peak F1 score as well as a balanced accuracy of 0.96 with the trained support vector machine classifier (SVC) model using our ten-dimensional SVD embeddings as the input. Several decision tree-based models perform well too with a F1 score of 0.85 for an Adaboost classifier, 0.9 for an extra tree classifier, 0.93 for our decision tree classifier, and 0.94 for the bagging classifier model. We also create and train a custom deep convolutional neural network (DCNN) with 2566129 parameters on the uncompresses data that performs extremely well. We obtain a micro precision, recall, and F1-score of 0.98 as well as a macro precision of 0.99, macro recall of 0.98, and macro F1-sco

关键词： Dimensionality reduction Deep learning Surface cleaning Support vector machines Accuracy image coding Static VAr compensators Solar panels Convolutional neural networks Time complexity

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8th International conference on Life System Modeling and Simulation, LSMS 2024 and 8th International conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

8th International Conference on Life System Modeling and Sim...

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8th International conference on Life System Modeling and Simulation, LSMS 2024 and 8th International conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

ISBN: (纸本)9789819602315

The proceedings contain 158 papers. The special focus in this conference is on Life System Modeling and Simulation and Intelligent Computing for Sustainable Energy and Environment. The topics include: A Method for Evaluating the Operating Health of Wind Turbines Under Wake Effect;toward Next-Generation Buildings: A Review of Renewable Energy Integration and Intelligent Building Energy Management Technologies;improving the Construction of a Multi-modal Underwater image Recognition System for Anomaly Detection in Nuclear Power Plant Cooling Source Areas;A Novel Anti-noise Fault Diagnosis Method for Nuclear Energy Steam Turbine Based on VCformer;Short-Term Photovoltaic Power Forecasting Using Multi-timescale Information Based FFTformer Model;wind Power Forecasting Model Based on Feature processing and Deep Hybrid Kernel Extreme Learning Machine;optimal User-Side Energy Arbitrage Strategy in Electricity Market with Accurate Battery Model Using Benders Decomposition;a Novel Distributed Economic Dispatch Method for Smart Grid with Time-Varying Feedback Gain;benefits, Barriers, and Human Factors of V2X Implementation – A Brief Review;a General Pattern of Permanent Magnet Arrangement for Design Optimization of a Reluctance Magnetic Gear with Enhanced Torque Density for Electric Vehicles;wind Power Scheduling Deviation Compensation Based on Dual-Frequency Pulse Control;a Comprehensive Simulation and Validation of Single Particle Aging Mechanism Model for Lithium-Ion Batteries;semi-supervised State of Health Estimation for Lithium-Ion Batteries via Dynamical Self-encoding;a Reduce-Order Model to Understand the Multiscale Coupling of Battery Electrochemical-Thermal Performance;RUL Prediction for Lithium-Ion Batteries Based on Sequence Decomposition and Transformer Networks;An Estimation Method of State of Health of Sodium-Ion Batteries Based on TCN.

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8th International conference on Life System Modeling and Simulation, LSMS 2024 and 8th International conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

8th International Conference on Life System Modeling and Sim...

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8th International conference on Life System Modeling and Simulation, LSMS 2024 and 8th International conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

ISBN: (纸本)9789819602933

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8th International conference on Life System Modeling and Simulation, LSMS 2024 and 8th International conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

8th International Conference on Life System Modeling and Sim...

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8th International conference on Life System Modeling and Simulation, LSMS 2024 and 8th International conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

ISBN: (纸本)9789819602247

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Real-time Learned image Codec on FPGA

Real-time Learned Image Codec on FPGA

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ieee International conference on visual communications and image processing (VCIP)

作者： Sun, Heming Yi, Qingyang Lin, Fangzheng Yu, Lu Katto, Jiro Fujita, Masahiro Waseda Univ Tokyo Japan Zhejiang Univ Hangzhou Zhejiang Peoples R China JST PRESTO Kawaguchi Saitama Japan Univ Tokyo Tokyo Japan AIST Tsukuba Ibaraki Japan

This demo paper gives a real-time learned image codec on FPGA. By using Xilinx VCU128, the proposed system reaches 720P@30fps codec, which is 7.76x faster than prior work.

ISBN: (纸本)9781665475921

This demo paper gives a real-time learned image codec on FPGA. By using Xilinx VCU128, the proposed system reaches 720P@30fps codec, which is 7.76x faster than prior work.

关键词： image coding neural network FPGA

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A Marked Point Process Model For visual Perceptual Groups Extraction

A Marked Point Process Model For Visual Perceptual Groups Ex...

引用

ieee International conference on visual communications and image processing (VCIP)

作者： Mbarki, Amal Naouai, Mohamed Univ Tunis EL MANAR Fac Sci Tunis Tunis Tunisia

ISBN: (纸本)9781728180687

Perceptual organization is the process of assigning each part of a scene to a specified association of features to be a part of the same organization. In the twenty century, Gestalt psychologists formalized how image features tend to be grouped by giving a set of organizing principles. In this paper, we propose an approach for the detection of perceptual groups in an image. We are mainly interested in features grouped by the proximity law of Gestalt. We conceive an object-based model within a stochastic framework using a marked point process (MPP). We use a Bayesian learning method to extract perceptual groups in a scene. The proposed model tested on synthetic images proves the efficient detection of perceptual groups in noisy images.

关键词： visual perception perceptual organisation image processing marked point process

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Intelligent Reflection Elimination Imaging Device based on Polarizer

Intelligent Reflection Elimination Imaging Device based on P...

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ieee International conference on visual communications and image processing (VCIP)

作者： Chen, Xinru Liu, Hang Hu, Menghan Zhang, Lejing Li, Yunmian East China Normal Univ Shanghai Peoples R China Ruian Dawan Polaroid Mat Technol CO LTD Minnetonka MN USA

ISBN: (纸本)9781665475921

Glass reflection is a problem when taking photos through glass windows or showcases. As the visual quality of captured image can be enhanced by removing reflection, we develop an intelligent reflection elimination imaging device based on polarizer to minimize reflection effect on the images. The system mainly consists of a polarizing module, an image analysis module and a reflection removal module. The users can hold the device and capture images with minimum reflection whether in the day or night. The demo video is available at: https://***/10.6084/***.19687830.v1.

关键词： reflection removal polarized imaging image enhancement

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Geometric-visual descriptor for improved image based localization

Geometric-visual descriptor for improved image based localiz...

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ieee International conference on visual communications and image processing (VCIP)

作者： Ouni, Achref Royer, Eric Chevaldonne, Marc Dhome, Michel Univ Clermont Auvergne Inst Pascal Clermont Ferrand France

ISBN: (纸本)9781728180687

This paper addresses the problem of image based localization. The goal is to find quickly and accurately the relative pose from a query taken from a stereo camera and a map obtained using visual SLAM which contains poses and 3D points associated to descriptors. In this paper we introduce a new method that leverages the stereo vision by adding geometric information to visual descriptors. This method can be used when the vertical direction of the camera is known (for example on a wheeled robot). This new geometric visual descriptor can be used with several image based localization algorithms based on visual words. We test the approach with different datasets (indoor, outdoor) and we show experimentally that the new geometricvisual descriptor improves standard image based localization approaches.

关键词： Descriptors Retrieval images Pose estimation Localization

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RDPlot - An Evaluation Tool for Video Coding Simulations

RDPlot - An Evaluation Tool for Video Coding Simulations

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ieee International conference on visual communications and image processing (VCIP) - visual communications in the Era of AI and Limited Resources

作者： Schneider, Jens Sauer, Johannes Wien, Mathias Rhein Westfal TH Aachen Inst Nachrichtentech Aachen Germany Rhein Westfal TH Aachen Lehrstuhl Bildverarbeitung Aachen Germany

ISBN: (纸本)9781728185514

RDPlot is an open source GUI application for plotting Rate-Distortion (RD)-curves and calculating Bjontegaard Delta (BD) statistics [1]. It supports parsing the output of commonly used reference software packages, parsing ∗.csv-formatted files, and ∗.xml-formatted files. Once parsed, RDPlot offers the ability to evaluate video coding results interactively. Conceptually, several measures can be plotted over the bitrate and BD measurements can be conducted accordingly. Moreover, plots and corresponding BD statistics can be exported, and directly integrated into LaTeX documents. © 2021 ieee.

关键词： image coding

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Learning to Fly with a Video Generator

Learning to Fly with a Video Generator

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ieee International conference on visual communications and image processing (VCIP) - visual communications in the Era of AI and Limited Resources

作者： Chia-Chun Chung Wen-Hsiao Peng Teng-Hu Cheng Chia-Hau Yu Natl Yang Ming Chiao Tung Univ Hsinchu Taiwan

ISBN: (纸本)9781728185514

This paper demonstrates a model-based reinforcement learning framework for training a self-flying drone. We implement the Dreamer proposed in a prior work as an environment model that responds to the action taken by the drone by predicting the next video frame as a new state signal. The Dreamer is a conditional video sequence generator. This model-based environment avoids the time-consuming interactions between the agent and the environment, speeding up largely the training process. This demonstration showcases for the first time the application of the Dreamer to train an agent that can finish the racing task in the Airsim simulator.

关键词： Training visual communication image processing Atmospheric modeling Video sequences Reinforcement learning Predictive models

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