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optimization of ISP Parameters for Low Light Conditions Using a non-linear Reference-based Approach 20

Optimization of ISP Parameters for Low Light Conditions Usin...

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IS and T International Symposium on Electronic Imaging: 20th Image Quality and system Performance, IQSP 2023

作者： Alai, Shubham Bhat, Radhesh KPIT Technology Pvt. Ltd. Bangalore India

Image signal processors (ISPs) play a significant role in camera systems by processing the RAW image from the image sensor to the final image. these final images are then used for human vision or computer vision tasks. A camera tuning engineer tunes the ISP parameters iteratively for different lighting conditions and scenarios to improve image quality. Due to the large number of ISP parameters that need to be tuned and the number of iterations required to achieve the final desired image quality which has a better trade-off, the tuning process often takes several weeks to months. For low lighting conditions, the complexity increases exponentially since details in the images are not even visible to human eyes. In low-light scenarios, extracting the maximum information from images typically requires an increase in ISO gain. However, this often results in image artifacts and adverse effects on noise levels and color accuracy. To address these issues, the number of ISP parameters needed for tuning substantially increases. With manual tuning, it becomes impractical to achieve optimal settings by considering all of them address the complexities of manual tuning, particularly in low-light situations, we have proposed a novel approach to tune ISP parameters automatically with the help of a reference image, using covariance matrix adaption evolution strategy (CMA-ES) as a non-linear optimizer. In this approach, we have used MSSIM as a loss metric to optimize the ISP parameters for low-lux images by considering the high-lux, well-tuned image as the reference. OV13880 sensor with Qualcomm's Spectra 380 ISP simulator and AR0233 sensor with Texas Instruments'TDA4X ISP is used in our experiment to validate the approach. the performance of the automatically tuned image is compared with an image obtained with default as well as manually tuned ISP parameters. We have demonstrated that in comparison to the manual tuning approach, the automatic ISP tuning approach significantly outperf

关键词： Covariance matrix

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20th Mexican International conference on Artificial Intelligence, MICAI 2021

20th Mexican International Conference on Artificial Intellig...

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20th Mexican International conference on Artificial Intelligence, MICAI 2021

ISBN: (纸本)9783030898168

the proceedings contain 58 papers. the special focus in this conference is on Artificial Intelligence. the topics include: Supervised Learning Approach for Section Title Detection in PDF Scientific Articles;towards a Pareto Front Shape Invariant Multi-Objective Evolutionary Algorithm Using Pair-Potential Functions;mexican Stock Return Prediction with Differential Evolution for Hyperparameter Tuning;COVID-19 on the Time, Countries Deaths Monitoring and Comparison Dealing with the Pandemic;Facing a Pandemic: A COVID-19 Time Series Analysis of Vaccine Impact;continual Learning for Multi-camera Relocalisation;urban Perception: Can We Understand Why a Street Is Safe?;real Time Distraction Detection by Facial Attributes Recognition;artificial Organic Networks Approach Applied to the Index Tracking Problem;touchless Fingerphoto Extraction Based on Deep Learning and Image Processing Algorithms;A Preview;performance Evaluation of Artificial Neural Networks Applied in the Classification of Emotions;Deep Learning Architectures Applied to Mosquito Count Regressions in US Datasets;DBSCAN Parameter Selection Based on K-NN;a Machine Learning Approach for modeling Safety Stock optimization Equation in the Cosmetics and Beauty Industry;comparing Machine Learning Based Segmentation Models on Jet Fire Radiation Zones;finding Significant Features for Few-Shot Learning Using Dimensionality Reduction;identifying Optimal Clusters in Purchase Transaction Data;Endowing the MIA Cloud Autoscaler with Adaptive Evolutionary and Particle Swarm Multi-Objective optimization Algorithms;linear Structures Identification in Images Using Scale Space Radon Transform and Multiscale Image Hessian;machine Learning Algorithms Based on the Classification of Motor Imagination Signals Acquired with an Electroencephalogram;causal Based Action Selection Policy for Reinforcement Learning;seasonality Atlas of Solar Radiation in Mexico;preface.

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20th Mexican International conference on Artificial Intelligence, MICAI 2021

20th Mexican International Conference on Artificial Intellig...

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20th Mexican International conference on Artificial Intelligence, MICAI 2021

ISBN: (纸本)9783030898199

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Resource Allocation as a Market: A Case Study on Multi-Server Multi-Model Federated Learning

Resource Allocation as a Market: A Case Study on Multi-Serve...

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Annual conference on Wireless On Demand Network systems and Services (WONS)

作者： Maria Diamanti Aisha B Rahman Panagiotis Charatsaris Eirini Eleni Tsiropoulou Symeon Papavassiliou Institute of Communication and Computer Systems School of Electrical and Computer Engineering National Technical University of Athens Athens Greece Dept. of Electrical and Computer Engineering University of New Mexico Albuquerque NM USA

ISBN: (数字)9783903176713

ISBN: (纸本)9798331522025

6G networks envision a seamless integration of data and AI into their core operations, marking a new era where distributed client devices actively engage in intelligent processes, supported by a diverse ecosystem of AI service providers. this shift necessitates approaching traditional resource allocation problems from a market perspective, transparently reflecting the gains and losses of clients and providers within the ecosystem. In this paper, we use a multi-server, multi-model Federated Learning (FL) network as a case study to propose a market-based resource allocation framework. the framework models the joint problem of client resource allocation and pricing as a Fisher market, where servers compete to attract clients with private data and local computing resources for distributed model training. the joint problem is formulated as a convex program, aiming to maximize the total server utility related to their model’s accuracy, while incorporating clients’ total computing resource constraints and servers’ budget constraints. An analytical solution to the convex program is derived concluding the so-called Market Equilibrium (ME) point, where market clearance is achieved. the effectiveness of the proposed market-based resource allocation framework is validated through comparisons with established resource allocation and sharing schemes from the literature.

关键词： Federated learning Computational modeling Biological system modeling Ecosystems Distributed databases Pricing Data models Resource management Servers Artificial intelligence

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Economic Prospects of Flexible Nuclear Energy Operation Under Different Market Conditions

Economic Prospects of Flexible Nuclear Energy Operation Unde...

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International conference on European Electricity Market, EEM

作者： Anders Olai Grotle Simen Dyrkolbotn Martin Nødland Hjelmeland Jonas Kristiansen Nøland Magnus Korpås Department of Electric Energy Norwegian University of Science and Technology (NTNU) Trondheim Norway

ISBN: (数字)9798350381740

ISBN: (纸本)9798350381757

the urgent need for low-carbon energy has led to the rise of wind, solar, and hydropower. However, the irregularities of weather-dependent renewables, coupled with rising energy demand, call for including firm, dispatchable low-carbon sources. Nuclear energy, including advanced (Gen. IV) reactors, offers significant potential to complement renewables, ensuring a stable and adaptable energy system. In this paper, several advanced reactor concepts are analyzed in a Pyomo-based optimization model environment. We evaluate their flexibility and compare their potential utilization factors, including value factor (VF), capacity factor (CF), and levelized cost of electricity (LCOE) under different market conditions at three price volatility levels. Our findings highlight how performance characteristics like output power, ramp rate, and thermal energy storage (TES) impact their efficacy. Generally, both the VF and LCOE increase while CF decreases at higher market volatility, indicating fewer operating hours to capitalize on high demand and peak prices. the VF-adjusted LCOE (VFALCOE) metric illustrates this effect. For Moltex Energy's 900-MW TES concept, CF dropped from 100 % to 83.6 %, and LCOE rose from $85/MWh to $91/MWh from low to high volatility. Nevertheless, the VF increase from 106 % to 151 %, resulting in a VFALCOE of $61/MWh for high volatility, highlighting the benefits of strategic electricity production.

关键词： Measurement Electric potential Nuclear energy Costs Profitability optimization models Electricity

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Unveiling Designers' Cognitive States in Early Engineering Design Stages: An Autoencoder-DNN Approach based on EEG Data*

Unveiling Designers' Cognitive States in Early Engineering D...

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IEEE International conference on Automation Science and Engineering (CASE)

作者： Mingrui Li Zuoxu Wang Fan Li Jihong Liu School of Mechanical Engineering and Automation Beihang University Beijing China Department of Aeronautical and Aviation Engineering The Hong Kong Polytechnic University Hong Kong Special Administrative Region

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

Early engineering product design stages, such as innovative conceptual design and product form design, require intensive thinking by designers. During these tasks, designers experience constantly shifting cognitive states of either Trance, Concentration or Confusion. Accurately recognizing designer’s cognitive states is a prerequisite task to provide assistance, e.g. design knowledge recommendation, to designers timely. Electroencephalogram (EEG) data is the external expression of designers’ cognitive states. However, current research on applying EEG technology in engineering design scenarios lacks automatic selection of significant features from EEG information, and the connection with the design process is also limited. Faced with such issues, this study proposes a cognitive state recognition procedure for engineering design scenarios, including a recognition model and an experiment protocol. the Autoencoder-Deep Neural Network (DNN)-based recognition model can flexibly select significant features to achieve accurate cognitive state recognition, while the two-stage experiment protocol can collect standard cognitive state data and perform validation in the simulation of real design scenarios. the experiment results demonstrate the validity of the proposed recognition procedure, and confirmed that states of Concentration and Confusion can be utilized to determine whether designers need assistance.

关键词： Protocols Face recognition Brain modeling Electroencephalography Data models Reflection Product design Standards Unsupervised learning optimization

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Intelligential method optimization for improve heat transfer in solar hybrid collector

Intelligential method optimization for improve heat transfer...

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Renewable Solutions for Ecosystems: Towards a Sustainable Energy Transition (ICRSEtoSET), International conference on

作者： Abdelkrim Khelifa Meriem Bounib Unité de Recherche Appliquée en Energies Renouvelables URAER Centre de Développement des Energies Renouvelables CDER Ghardaïa Algeria Department of Physics Sciences Faculty 20th August 1955 Skikda University Skikda Algeria

ISBN: (数字)9798350346336

ISBN: (纸本)9798350346343

In order to enhance the efficiency of photovoltaic panels, it is imperative to maintain a low temperature for the photovoltaic module. A recent study delved into this matter, utilizing Response Surface Methodology (RSM) and Multi-objective Genetic Algorithm (MOGA) to optimize the design of the solar system. this was done by examining various parameters, such as the gap, velocity, and solar system temperature. ANSYS software and Navier Stokes equations were used for simulations. the research findings revealed that an optimal gap size of approximately 3 cm was the most effective, with only slight variations in energy gain observed. this highlights the importance of maintaining specific design parameters to ensure optimal performance of solar systems.

关键词： Renewable energy sources Mathematical models Software Solar system Response surface methodology Solar panels Solar heating

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20th International Forum on Digital TV and Wireless Multimedia Communications, IFTC 2023

20th International Forum on Digital TV and Wireless Multimed...

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20th International Forum on Digital TV and Wireless Multimedia Communications, IFTC 2023

ISBN: (纸本)9789819736256

the proceedings contain 57 papers. the special focus in this conference is on Digital TV and Wireless Multimedia Communications. the topics include: Depth Map Super-Resolution via Asymmetrically Guided Feature Selection and Spatial Affine Transformation;welding Defect Detection Using X-Ray Images Based on Deep Segmentation Network;wide Activation Fourier Channel Attention Network for Super-Resolution;lightNet+: Boosted Light-Weighted Network for Smoke Semantic Segmentation;local Dynamic Filter Network for Low-Light Enhancement and Deblurring;spatial-Angular Decoupling Interaction Networks for Light Field Angular Super-Resolution;Coding Prior-Driven JPEG Image Artifact Removal;where to Forget: A New Attention Stability Metric for Continual Learning Evaluation;unbiased Image Caption Generation Based on Dynamic Counterfactual Inference;modeling and Analysis of Rumor Propagation Dynamics in Social Media;bridging Recommendations Across Domains: An Overview of Cross-Domain Recommendation;sequence modeling Based Data Augmentation for Micro-expression Recognition;dual Transformer with Gated-Attention Fusion for News Disaster Image Captioning;constructing Personal Knowledge Graph from Conversation via Deep Reinforcement Learning;exploring the Efficacy of Interactive Digital Humans in Cultural Communication;EHA3D: Expressive Head Avatar via Disentangled Latent Code;motion-Aware Topology Learning for Skeleton-Based Action Recognition;MFNCA: Multi-level Fusion Network Based on Cross Attention for 3D Point Cloud Object Detection;ART-InvRec: Acquiring Rotation Invariance of 3D Object Reconstruction via Adversarial Rotation;multi-view Object Recognition Based on Deep Models;combined Particle Filter and Its Application on Human Pose Estimation;A Human Posture Estimation Method for Image Interaction system Based on ECA;PU-SSIM: A Perceptual Constraint for Point Cloud Up-Sampling;quality Enhancement via Spatial-Angular Deformable Convolution for Compressed Light Field;Link-Breakage R

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On the Problem of Choosing the Optimal Parameters for the Wind Farm in the Arctic Town of Tiksi 20th

On the Problem of Choosing the Optimal Parameters for the Wi...

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20th International conference on Mathematical modeling and Supercomputer Technologies, MMST 2020

作者： Strijhak, Sergei V. Gergel, Victor P. Ivanov, Aleksandr V. Gadal, Sebastien Zh. Ivannikov Institute for System Programming of the RAS Moscow109004 Russia Moscow Aviation Institute Moscow125993 Russia Lobachevsky State University of Nizhny Novgorod Nizhnij Novgorod603950 Russia Aix-Marseille Univ CNRS ESPACE UMR 7300 Univ Nice Sophia Antipolis Avignon Univ Aix-en-Provence13545 France North-Eastern Federal University Yakutsk Sakha Yakutia67000 Russia

ISBN: (纸本)9783030787585

the paper considers the problem of choosing the optimal parameters for the operation of 3 horizontal wind turbines of the wind farm in the town Tiksi, in the Sakha Republic. the open-source WRF-ARW and FLORIS packages are used to calculate the physical parameters in the wind farm. During the calculation, the values of wind velocity, temperature, pressure fields, and the value of the generated power of wind power plants were obtained. the optimization problem is formulated, the objective function is defined, and 2 variable parameters are selected, namely, yaw angle and angle of attack. the calculations were carried out on the computing cluster of ISP RAS. © 2021, Springer Nature Switzerland AG.

关键词： Angle of attack

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20th International Forum on Digital TV and Wireless Multimedia Communications, IFTC 2023

20th International Forum on Digital TV and Wireless Multimed...

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20th International Forum on Digital TV and Wireless Multimedia Communications, IFTC 2023

ISBN: (纸本)9789819736225

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