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visual Communication Design of Multi-dimensional Image visualization Fusion System Based on Wavelet Transform

Visual Communication Design of Multi-dimensional Image Visua...

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Electronic Technology, Communication and Information (ICETCI), IEEE International conference on

作者： Wenjie Li Art Education Teaching and Research Section of Marxism College Changchun University of Chinese Medicine Changchun China

With the rapid development of remote sensing technology, multi-source remote sensing image fusion has become one of the hot issues in remote sensing field in recent years. Aiming at the poor edge registration of images obtained by conventional remote sensing image fusion system, a multidimensional visual fusion system of remote sensing images based on visual communication is designed. CABAC encoder is selected to make data flow and control flow cooperate with each other to obtain feedback data. However, the rapid increase of data also increases the difficulty of comprehensive observation, because the image data obtained by different sensors have their own differences and limitations in spectral information and spatial details, so we want to bring the fusion technology into this field, expand the working range of the system, improve the reliability of the system, obtain a more efficient representation of information and improve the cost performance of the system. Image fusion technology plays an extremely important role in remote sensing, medicine, natural resources exploration, marine resources management, topography analysis, biology and other fields. The left and right focused images, infrared images and visible images are used for simulation experiments, and the objective evaluation indexes of images are used to verify the feasibility of this method.

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Explorative visual analysis of Spatio-temporal Regions to Detect Hemodynamic Biomarker Candidates

Explorative Visual Analysis of Spatio-temporal Regions to De...

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24th Eurographics conference on visualization, EuroVis 2022

作者： Derstroff, Adrian Leistikow, Simon Nahardani, Ali Ebrahimi, Mahyasadat Hoerr, Verena Linsen, Lars University of Münster Germany Medical Physics Group Institute of Diagnostic and Interventional Radiology Jena University Hospital Friedrich Schiller University Jena Jena Germany Heart Center Bonn Department of Internal Medicine II University Hospital Bonn Bonn Germany Clinic for Radiology University Hospital Münster Münster Germany Leipniz-Institute of Photonic Technology Jena Germany Friedrich Schiller University Jena Germany Institute of Physical Chemistry Abbe Center of Photonics Jena Germany

ISBN: (纸本)9783038681854

Biomarkers are measurable biological properties that allow for distinguishing subjects of different cohorts such as healthy vs. diseased. In the context of diagnosing diseases of the cardiovascular system, researchers aim - among others - at detecting biomarkers in the form of spatio-temporal regions of blood flow obtained by medical imaging or of derived hemodynamical parameters. As the search space for such biomarkers in time-varying volumetric multi-field data is extremely large, we present an interactive visual exploration system to support the analysis of the potential of spatio-temporal regions to discriminate cohorts. © 2022 The Author(s) Eurographics Proceedings © 2022 The Eurographics Association.

关键词： Diagnosis

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Interpreting Autonomous Driving Corner Cases: A visual Analytics Approach

Interpreting Autonomous Driving Corner Cases: A Visual Analy...

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Pacific (formerly Asia-Pacific APVIS) visualization Symposium

作者： Yi Sun Zekai Shao Xingyu Qiu Yun Li Ting Liu Linbing Xiang Dong Sun Siming Chen Fudan University NIO Shanghai

ISBN: (数字)9798350393804

ISBN: (纸本)9798350393811

With the progression of artificial intelligence, there has been substantial advancement in autonomous driving technology. However, even the most advanced systems may confront failures in certain corner cases, necessitating enhanced analytical approaches. Traditional approaches focused on the numerical analysis of isolated sensor data, are often insufficient for deriving meaningful insights in such situations. To address this inadequacy, we propose a visual analytics approach, crafted to aid domain experts in performing analyses and extracting system improvements from cases with unexpected behaviors. This approach intricately integrates extensive driving scenarios and low-level module behaviors into the autonomous driving decision-making process, utilizing rich visualizations and an interface for interactive exploration and systematic synthesis of findings. Uniquely, our system opens the "black box" of modules in the decision-making pipeline during corner cases, taking into account both the overall decision-making pipeline and the fine-grained behaviors of the modules in the pipeline, setting our approach apart from previous works. To validate our system’s effectiveness, we perform two case studies, inviting domain experts for evaluation, and the results confirm our system’s efficacy in allowing experts to obtain crucial insights into autonomous driving systems.

关键词： Systematics Numerical analysis visual analytics Pipelines Decision making System improvement Artificial intelligence

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Short Video E-Commerce Marketing of Convolutional Neural Network Based Transfer Learning with visual Geometry Group16

Short Video E-Commerce Marketing of Convolutional Neural Net...

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Integrated Intelligence and Communication Systems (ICIICS), International conference on

作者： Jia Wen School of Business Administration Guangzhou Institute of Science and Technology Guangzhou China

ISBN: (数字)9798331504960

ISBN: (纸本)9798331504977

In Recent years, E-commerce stands as a prominent testament to the transformative power of information and communications technologies in driving economic growth and development. Traditional approaches from short video ecommerce marketing had faced several issues which include large data size, required more computational resources. Therefore, this research proposes Convolutional Neural Network (CNN) based Transfer Learning with visual Geometry Group (VGG)16 for Short Video E-commerce Marketing. Initially, the data is taken from Buyer-generated Fashion Video (BFV) dataset and consists of fashion videos generated by users, showcasing their purchases and experiences with fashion products. The data is preprocessed by using frame extraction and then the features are extracted by using CNN based Transfer Learning with VGG16 which effectively reduces the training time and computational resources. Next, the You Only Look Once (YOLO) is used for feature engineering where YOLO enabled the analysis of object based features. Finally, the evaluation and optimization is done by Multi armed bandit where it provides efficient way to balance exploration and exploitation which enabled real time optimization. The proposed CNN based Transfer Learning with VGG16 achieved accuracy (0.955), precision (0.977), recall (0.968) and F1 Score (0.970) when compared with existing Hierarchical Oversampling Word Embedding Network (HOWNET).

关键词： YOLO Geometry Training visualization Transfer learning Feature extraction Convolutional neural networks Electronic commerce data mining Optimization

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A Systematic Approach to Tuning Cover Parameters in Mapper for Improved TDA Representation

A Systematic Approach to Tuning Cover Parameters in Mapper f...

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Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), IEEE International conference on

作者： Stefano Vannoni Emma Tassi Inês Won Sampaio Anna M. Bianchi Eleonora Maggioni Dept. of Electronics Information and Bioengineering Politecnico di Milano Milan Italy Dept. of Neurosciences and Mental Health Fondazione IRCCS Ca’ Granda Osp. Maggiore Policlinico Milan Italy

ISBN: (数字)9798350378009

ISBN: (纸本)9798350378016

Topological data analysis (TDA) offers a powerful framework for analyzing complex datasets by leveraging algebraic topology to unveil underlying structures. Within TDA, the Mapper algorithm plays a pivotal role in transforming data into a simplified graph representation, known as a simplicial complex. However, selecting appropriate parameters within the Mapper algorithm remains a challenge due to the absence of a standardized approach. In this study, we propose a systematic methodology for choosing Cover parameters by integrating quantitative assessment, using the Netsimile metric and graph topological features, with qualitative visual analysis. We demonstrate the efficacy of our approach using brain features from the Human Connectome Project dataset. Through a comprehensive evaluation, we identify parameter configurations that enhance graph properties stability producing informative graph structures. Our findings highlight the importance of integrating quantitative metrics into the parameter selection process, paving the way for enhanced data exploration and understanding. The open-source nature of our methodology promotes broader adoption and application across diverse datasets and analytical workflows.

关键词： Measurement visualization Systematics Extended reality Neural engineering Metrology Stability analysis Topology Tuning Testing

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visual exploration of Urban Road Network Traffic Based on Reconstructed Trajectory data 21

Visual Exploration of Urban Road Network Traffic Based on Re...

引用

20th and 21st Joint COTA International conference of Transportation Professionals - Advanced Transportation, Enhanced Connection

作者： He, Ning Liu, Linwei Ma, Chengyuan Gao, Lizhi Tang, Guangying Yu, Chunhui ShenZhen Genvict Technol Co Ltd Shenzhen Guangdong Peoples R China Tongji Univ Coll Transportat Engn Shanghai Peoples R China

ISBN: (纸本)9780784483565

There are a lot of Automotive Vehicle Identification (AVI) devices in urban traffic environment in some Chinese cities. Vehicles will leave a series of timestep-location records when travelling through the road network, which is a valuable data source for macroscopic traffic supply-demand analysis. A method using the AVI data based on the Arcgis platform to reconstruct vehicles' trajectories is proposed, which can obtain nearly full sample of vehicles' reconstructed trajectories in the road network with devices. The macroscopic features of traffic demand are explored based on the reconstructed trajectory data. Through visual analysis, the distribution of traffic OD demand, traffic volume and spatial-temporal changes are obtained. Additionally, the relationship between traffic supply and demand is evaluated from the macroscopic view.

关键词： Trajectories

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exploration and Implementation of data Processing Methods in Admission and Enrollment for Adult Higher Education Institutions

Exploration and Implementation of Data Processing Methods in...

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IEEE International conference on Big data analysis (ICBDA)

作者： Xuping Lin Bin Wang Yuejiang Sun Lei Li Qingdao Preschool Education College Qingdao China Ocean University of China Qingdao China

ISBN: (数字)9798350352962

ISBN: (纸本)9798350352979

data processing, as an intermediate link in adult college entrance examination enrollment and admission, establishes a bridge between the enrollment and admission institution subsystem and the data output window. However, the data processing work is relatively cumbersome. This article combines the characteristics of the college subsystem of the adult college entrance examination enrollment online admission software, and proposes the use of three commonly used office software and processing methods such as visual FoxPro, ACCESS, and EXCEL to achieve enrollment data processing work, all of which can effectively complete enrollment data processing. Firstly, it is necessary to clarify the basic meaning of the admission data table, the basic structure of the data table, and the data relationships between the tables. When using visual FoxPro software to process data, execute the command line through the VFP command window, write SQL statements based on the correspondence between tables, and encapsulate the VFP command line into a visualization program to achieve data processing. When processing admission data in Access 2016, after establishing relationships between tables, creating queries and outputting corresponding field information, the data processing operation can be completed. When using Excel to process data, it is necessary to first convert the admission DBF file into an Excel file, use functions and formulas to match the corresponding fields, delete excess fields, and replace function references with fixed values to complete data processing. The three methods of processing enrollment and admission data can all complete the post-processing work of the data, but each has its own advantages and disadvantages. VFP does not require data conversion in the early stage of data processing, which is efficient, but mastering and flexibly using commands can be challenging; During the data processing of ACCESS, there is no need to write programs or use formula functions, but

关键词： Bridges visualization data conversion Education data visualization Big data data processing

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visual exploration and Planning of the Automated Material Handling System for Smart Factory in the Immersive Environment

Visual Exploration and Planning of the Automated Material Ha...

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Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), IEEE conference on

作者： Yifei Zhang Yougao Li Xiangyang Xue Jianfeng Feng Siming Chen Fudan University Shanghai Jiao Tong University Ji Hua Laboratory School of Data Science Fudan University

The combination of the digital twin and the smart factory has been a popular research direction in recent years. Automated Material Handling System (AMHS) is an important scene of smart factory, while most traditional simulation AMHS analysis tools only provide results or simple 2D displays. We introduce a visual exploration system that combines virtual reality (VR) with AMHS to allow users to observe and analyze the performance of the system in real-time, and we provide a series of egocentric interactions to help users analyze and interfere with the performance of the system. The interactions include ray interaction, task scheduling interaction, and path planning interaction, We demonstrate how to explore AMHS using visualization and interaction in our system through case studies.

关键词： visualization Solid modeling Three-dimensional displays Two dimensional displays Materials handling Virtual reality User interfaces

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Feasibility Evaluation of Warm Solvent Assisted Gravity Drainage Process in Low-Carbon Developing Super-Heavy Oil or Oil Sands Project 84

Feasibility Evaluation of Warm Solvent Assisted Gravity Drai...

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2023 SPE EuropEC - Europe Energy conference featured at the 84th EAGE Annual conference and Exhibition, EURO 2023

作者： Liang, Guangyue Xie, Qian Liu, Yang Liu, Shangqi Xia, Zhaohui Bao, Yu Zhou, Jiuning Research Institute of Petroleum Exploration and Development CNPC China

ISBN: (纸本)9781613999912

It is very difficult to realize good economy returns using conventional SAGD process in many oil sands projects due to large CPF investment, massive steam injection, expensive surface diluent adding and increasing carbon emission tax. By contrast, warm solvent assisted gravity drainage process (WSAGD) is a promising low-carbon technology to deal with these SAGD challenges. This paper conducted feasibility evaluation by combined with Nsolv Best pilot analysis and a series of physical simulations. From 2014 to 2017, WSAGD pilot was successfully carried out by injecting butane at 60℃ in Suncor Dover oil sands. Its reservoir geological characteristics, physical properties, development technology policy and production performance were systematically analyzed. Combined with 4D seismic interpretation, RST and observation well data, the size and growth rate of solvent chamber were monitored and analyzed. Considering great uncertainty in numerical simulations influenced by many factors including grid size, solvent diffusion coefficient, interfacial tension and capillary force, a series of experimental tests and physical simulations were conducted. The behavior of viscosity reduction, interfacial tension reduction and microscopic oil displacement related to different solvents were systematically tested including propane, butane, pentane and hexane. Particularly, the performance of SAGD and WSAGD process were evaluated by 2D and 3D visual physical simulations. In Nsolv Best pilot, the target reservoir is low pressure, thin and shallow buried. The oil rate reached 250-300 barrels per day under 300 m horizontal section, and API degree of produced oil was upgraded to 13-16 from original 8. After 3 years of tests, the width of solvent chamber is 40-60m, lateral and vertical 1.56 m and 0.96 m per month, and horizontal conformance is 67%. The experiments results show that viscosity reduction trend will flatten out when the solvent concentration exceeds 10 vol% due to partial asphalt

关键词： Solvents

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exploration of the Fusion of FAST Algorithm and SIFT Algorithm in Image Feature Extraction

Exploration of the Fusion of FAST Algorithm and SIFT Algorit...

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Electronic Information Engineering and Computer Science (EIECS), 2021 International conference on

作者： Jingyi Zuo Xianghua Ma School of Electrical and Electronic Engineering Shanghai Institute of Technology Shanghai China

ISBN: (数字)9798331531409

ISBN: (纸本)9798331531416

In the field of computer vision, image feature extraction is the bridge connecting low-level image data with high-level visual tasks such as image matching and object recognition. The SIFT algorithm occupies an important position in feature extraction due to its outstanding stability and uniqueness, but its computational complexity is relatively high, limiting its application in scenarios with high real-time requirements, and the algorithm runs relatively slowly. In contrast, the FAST algorithm is known for its efficiency, but it does not provide a method for calculating feature descriptors and lacks invariance to scale and rotation changes, only suitable for translational image changes. Therefore, this paper explores the fusion of the FAST algorithm and the SIFT algorithm, aiming to combine their strengths.

关键词： visualization Systematics Limiting Image matching Focusing Feature extraction Stability analysis Real-time systems Object recognition Optimization

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