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检索条件"任意字段=IEEE Information Visualization Conference/IEEE Visualization Conference"

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Visual Analysis of Thane Intelligent Transport System 1

Visual Analysis of Thane Intelligent Transport System

引用

1st ieee International Interdisciplinary Humanitarian conference for Sustainability, IIHC 2022

作者： Patel, Madhuri Patel, Samir B. Swain, Debabrata Raval, Parth Pandit Deendayal Energy University Department of Computer Engineering Gandhingar India L D College of Engineering Department of Information Technology Ahmedabad India School of Technology Pandit Deendayal Energy University Gandhingar India L D College of Engineering Department of Science & Humanities Ahmedabad India

ISBN: (纸本)9781665456876

In fast growing countries like India, the focus on improvement of urban public transport services is essential. We must focus on enhancement of service features like route optimization, trip reliability, optimizes infrastructure including fleet size, and solution towards traffic problems. Importantly, the city transport system needs a continuous upgradation for augment services. Under Smart City mission, 83 out of 100 shortlisted smart cities have implemented an Integrated Command and Control Centre (ICCC) to gather, analyze, evaluate, and respond to big data inputs from various smart city projects. The database of transport systems consists various amorphous structure which requires proper preprocessing before analysis. Due to various fields and large spectrum of details, it is difficult to analyze without proper tools of visualization supported with infographic details. This becomes essential feeder for various stakeholder including citizen, administrators and policy makers. Historical transport data of April 2022 pertaining to Thane Smart city have been analyzed. The preprocessing and visualization have been carried out by looking future large-scale integration. The obtained raw data has three components i.e. GPS tracking data for buses, trip entry data handled by conductor/operator and route wise ticket collection details managed by conductors. Some typical errors have been identified and corresponding data have been cleaned. The cleaned data is preprocessed with various requisite details for visual analysis. Various analysis reports have been prepared for dashboard visualization. All reports contain interactive details with infographics. We have reported various critical features for visualization and analytics of Intelligent Public Transport system. The actual number of trips, total date wise and slot wise trips, route wise and time slot wise ticket collection have been correctly identified. Apart from the same, Common data tables designed for various analysis

关键词： visualization

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Learning Analytics Tools to Analyze Progress and Results With Moodle LMS Data

Learning Analytics Tools to Analyze Progress and Results Wit...

引用

ieee Education Engineering (EDUCON)

作者： Cristina Alonso-Fernández José L. Jorro-Aragoneses Carlos M. Alaíz Pilar Rodríguez Computer Science Department Universidad Autónoma de Madrid Madrid Spain

ISBN: (数字)9798350394023

ISBN: (纸本)9798350394030

Teachers can benefit from the information provided by learning analytics data for multiple purposes. Visual learning analytics dashboards provide near real-time information while more complex offline tools are commonly used to synthesize and transform the data gathered into interpretable information for teachers. The extended use of Learning Management Systems in universities, such as Moodle or Canvas, provides a rich environment to capture learning analytics data from students' interactions while they are progressing in their courses. In this paper, we present two different learning analytics tools aimed at teachers to obtain information about students' progress and results using data from the Moodle LMS at different stages of their learning process: (1) a progress visualization plugin for Moodle, which provides teachers with real-time information about the progress achieved by students in their courses, and the different goals set for their plans; and (2) an analytics Jupyter Notebook tool with a pre-defined set of analysis and visualizations to apply to data gathered from default activities in Moodle. The plugin is in an initial validation stage, while the analysis tool has been tested in a case study in a university course. Combined, both contributions can enrich the information that teachers have during and after the academic year, adapting their classes to better fit students' progress and needs, as well as providing overall results and comparison between groups after the course has finished.

关键词： visualization Learning management systems Data visualization Transforms information filters Real-time systems Large scale integration

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Research on Data visualization information Processing Based on Computer Big Data

Research on Data Visualization Information Processing Based ...

引用

2021 ieee conference on Telecommunications, Optics and Computer Science, TOCS 2021

作者： Wang, Liang Guangzhou College of Technology and Business Guangzhou510850 China

ISBN: (纸本)9781665424981

This article proposes an analysis method for GPS global positioning system data. The analysis method includes three collaborative and interactive visual views, which can display GPS global positioning system data and conduct interactive analysis at multiple levels and from angles. Complex network data can be more vividly and easy for analysts to understand GPS global positioning system situation. The article puts forward the method of receiving the positioning information of GPS global positioning system and extracting the data of each positioning parameter, and gives the hardware circuit and software flow chart of the system. Finally, the visual information system of the article was tested, and found that the system satisfies our data processing visualization requirements. © 2021 ieee.

关键词： visualization

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Transparent polymeric metagrating for two-color reflection in augmented reality displays

Transparent polymeric metagrating for two-color reflection i...

引用

ieee Photonics conference (IPC)

作者： F. Filograno I. Marasco B. Dagens O. Gauthier-Lafaye V. Petruzzelli G. Calò G. Magno Department of Electrical and Information Engineering Polytechnic University of Bari Bari Italy Centre de Nanosciences et de Nanotechnologies CNRS Université Paris-Saclay Palaiseau France LAAS-CNRS Université de Toulouse CNRS Toulouse France

This paper proposes a polymer-based transparent metagrating supporting multiple guided mode resonances in the visible spectrum. It achieves selective reflection of two colors simultaneously. This ability makes the met... 详细信息

ISBN: (数字)9798350361957

ISBN: (纸本)9798350361964

关键词： visualization Color Aging Metasurfaces Reflection Safety Polymers Plastics Augmented reality Photonics

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SO-PFH: Semantic Object-based Point Feature Histogram for Global Localization in Parking Lot

SO-PFH: Semantic Object-based Point Feature Histogram for Gl...

引用

ieee/RSJ International conference on Intelligent Robots and Systems (IROS)

作者： Lv, Jixin Meng, Chao Wang, Yue Sun, Jie Xiong, Rong Pu, Shiliang Hangzhou Hikvis Digital Technol Co Ltd Hikvison Res Inst Hangzhou Peoples R China Zhejiang Univ Hangzhou Peoples R China

ISBN: (数字)9781665479271

ISBN: (纸本)9781665479271

Global localization is essential for autonomous mobile systems, especially indoor applications where the GPS signal is denied. Although the appearance-based methods have been successfully applied in various localization tasks, they face various challenges such as light variation, viewpoint changing, and dynamic interference. Additionally, the appearance-based methods usually require a visual feature point map, which increases the storage burden. This paper proposes a novel global localization solution that leverages sparse and repetitive semantic object information. The proposal can fulfill global localization based on object-level maps that are self-built or externally provided. In this solution, the semantic objects are firstly modeled with a point cloud. Then, the object's semantic information is embedded into the geometry of the corresponding point, and the Semantic Object-based Point Feature Histogram (SO-PFH) descriptors of the modeled point clouds are estimated. Finally, the global localization is executed by applying a Geometric Consistency Filter-based RANdom SAmple Consensus (GCF-RANSAC) method to match point clouds. Experiments and simulations are conducted in indoor parking lots. The results demonstrate the effectiveness of the proposed method.

关键词： Location awareness Point cloud compression Matched filters Histograms visualization Semantics Filtering algorithms

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Analyzing and Visualizing Projects and their Relations in Software Ecosystems

Analyzing and Visualizing Projects and their Relations in So...

引用

Working conference on Software visualization (VISSOFT)

作者： Tran, Van Tuan Cheng, Cheng Petrillo, Fabio Gueheneuc, Yann-Gael Concordia Univ Montreal PQ Canada Univ Quebec Chicoutimi Chicoutimi PQ Canada

ISBN: (纸本)9781665431446

More and more software projects are being consolidated into ecosystems to increase their discovery, usability, and usefulness. Some of the most popular ecosystems exist in npmjs, Python Package Indexing, and Apache Maven Repository. It is difficult for developers to relate these projects and use them to their full potential because of their number, the spread and depth of their features, and their intrinsic and accidental complexities. We present a technique-SECO Storms Maker-to capture and present the essential information from projects in an ecosystem to help developers join, use, and contribute to the ecosystem. We generate word-clouds based on the projects' documentation via tokenization and distribution frequency. We identify relations among projects using grammar patterns scanning after part-of-speech tagging. We put these word-clouds into a graph to ease navigation and exploration. We evaluate our technique by manually building a ground truth and comparing a randomly-selected project with SECO to show its benefits.

关键词： visualization Storms Ecosystems Tools Tagging Software Tokenization

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Study on China's Visual Sports Data News in the Omni-media Era

Study on China's Visual Sports Data News in the Omni-media E...

引用

2021 International conference on information Technology and Contemporary Sports, TCS 2021

作者： He, Ningning Liu, Hairong Wang, Wei Yu, Yin Shanghai International Studies University Faculty for Physical Education Shanghai China

ISBN: (纸本)9781665429108

In the big data era, telling stories with data has carved out a new way for the development of sports journalism. "Data journalism"is a new form of reporting and news writing in the all-media era, and visualization, as an important tool of news presentation, can give viewers an immediate and profound impression. By integrating data with sports news, a well-designed data visualization is tailored towards audiences in a creative way. Through literature review and content analysis, this study will summarize the development process of data visualization in sports news and its characteristics, and further explore new ways of sports news data visualization in this new era from the perspectives of technology and communication. The paper supposes this theme will be of practical importance to the visualization research on the news report of major sports events. © 2021 ieee.

关键词： Data visualization

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A Lightweight-CNN Model for Efficient Lung Cancer Detection and Grad-CAM visualization 2

A Lightweight-CNN Model for Efficient Lung Cancer Detection ...

引用

2nd International conference on information and Communication Technology for Sustainable Development, ICICT4SD 2023

作者： Tasmim Bakchy, Sagor Chandro Peyal, Hasibul Islam Islam, Md. Injamul Yeamin, Golam Kibria Miraz, Shafiun Abdal, Md. Nazmul Rajshahi University of Engineering & Technology Dept. of Electrical & Computer Engineering Rajshahi Bangladesh Uttara University Dept. of Computer Science & Engineering Dhaka Bangladesh Rajshahi University of Engineering & Technology Dept. of Electrical & Electronic Engineering Rajshahi Bangladesh Rajshahi University of Engineering & Technology Dept. of Computer Science & Engineering Rajshahi Bangladesh

ISBN: (纸本)9798350358667

The lungs' abnormal cell growth leads to the development of lung cancer. Early cancer identification could make treatment easier, potentially saving millions of lives annually. This study's main goal is to more rapidly and effectively classify various types of lung cancer by employing a lightweight, computationally efficient convolutional neural network (CNN) model to categorize three different types of lung cancer. With an outstanding validation accuracy of 99.48%, the suggested model surpasses the achievements of previous works. The 15,000 CT scan images in our dataset include three different forms of lung cancer. The proposed model performs exceptionally well, as evidenced by its astounding precision, recall, and F1-score, all above 99%, and by its flawless Area Under Curve (AUC) score of 100%. The proposed model has fewer parameters than the existing transfer learning models. Gradient Weighted Class Activation Mapping (Grad-CAM) was used to create class activation maps, which were then used to create a heatmap to display the classification zone. © 2023 ieee.

关键词： Neural network models

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Digital Twin System for Reflector Antenna Structure Performance Evaluation Based on Surrogate Model

Digital Twin System for Reflector Antenna Structure Performa...

引用

ieee International conference on Electronic information and Communication Technology (ICEICT)

作者： Hanwei Cui Binbin Xiang Wei Wang Peiyuan Lian Jianping Zhou Shangmin Lin School of Mechanical Engineering Xinjiang University Urumqi China School of Mechano-Electronic Engineering Xidian University Xi'an China Space Optics Technology Department Xi'an Institute of Optics and Precision Mechanics of CAS Xi'an China

ISBN: (数字)9798350384437

ISBN: (纸本)9798350384444

The digital twin system of the reflector antenna based on the surrogate model is designed in this paper to achieve real-time evaluation of its structural performance during operation. Firstly, the finite element model of the reflector antenna is established, and mechanical performance data samples of the antenna structure are obtained. Secondly, using surrogate model technology, a high-precision Gaussian Process mathematical model is fitted to enable rapid and accurate prediction of the antenna structure's performance. Finally, data communication technology is utilized to connect the physical space of the antenna with its twin space, enabling visualization of its structure's performance and interaction with motion attitude based on the Unity engine. Through testing, it has been demonstrated that this digital twin system can achieve real-time monitoring of high precision and efficiency for the structural performance of the antenna.

关键词： Computational modeling Data visualization Predictive models Reflector antennas Real-time systems Mathematical models Data models

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Multi-Object Tracking by Hierarchical Visual Representations

Multi-Object Tracking by Hierarchical Visual Representations

引用

ieee International conference on Robotics and Automation (ICRA)

作者： Jinkun Cao Jiangmiao Pang Kris Kitani Carnegie Mellon University Shanghai AI Laboratory

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

We propose a new visual hierarchical representation paradigm for multi-object tracking. It is more effective to discriminate between objects by attending to objects’ compositional visual regions and contrasting with the background contextual information instead of sticking to only the semantic visual cue such as bounding boxes. This compositional-semantic-contextual hierarchy is flexible to be integrated in different appearance-based multi-object tracking methods. We also propose an attention-based visual feature module to fuse the hierarchical visual representations. The proposed method achieves state-of-the-art accuracy and time efficiency among query-based methods on multiple multi-object tracking benchmarks.

关键词： visualization Target tracking Accuracy Fuses Computational modeling Semantics Noise

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