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

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Research on 3D visualization technology of electromagnetic source arc based on machine vision

Research on 3D visualization technology of electromagnetic s...

引用

2022 International conference on Computer Engineering and Artificial Intelligence, ICCEAI 2022

作者： Yuechao, Zhao Xingyu, Yang Yuan, Zhang Alang, Liu Yanduo, Zhao Chunhui, Piao Yakun, Zhao Xianglan, Dong Shijiazhuang Tiedao University. School of Information Science and Technology and Hebei Key Laboratory of MCIE3. Shijiazhuang China Shijiazhuang Tiedao University Science and Technology Division Shijiazhuang China

ISBN: (数字)9781665468039

ISBN: (纸本)9781665468039

Computer vision is an important research direction of machine learning, in which binocular stereo vision technology with the advantages of low cost, high speed, appropriate accuracy and simple process has been very mature. As an important perception technology for computer passive detection, binocular stereo vision technology has been widely used in 3D reconstruction, feature detection and other fields, but its application in electromagnetic environment detection and electromagnetic visualization is still limited In this paper, a three-dimensional visualization technology of electromagnetic source based on machine vision is proposed Using binocular camera as sensor and visual SLAM technology, the three-dimensional point cloud image of electromagnetic source high-voltage discharge arc is obtained, the three-dimensional reconstruction of electromagnetic source is carried out, and finally the visualization of 3D point cloud electric and magnetic source arc is realized Through the imaging detection experiment of electromagnetic source arc, the three-dimensional point cloud image of electromagnetic source discharge arc is obtained, which shows that the binocular stereo vision technology can detect the three-dimensional electromagnetic source discharge arc and the feasibility of the three-dimensional visualization method of electromagnetic source arc based on machine vision. © 2022 ieee.

关键词： Computer vision

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Model Sensemaking Strategies: Exploiting Meta-Model Patterns to Understand Large Models 26

Model Sensemaking Strategies: Exploiting Meta-Model Patterns...

引用

26th ACM/ieee International conference on Model Driven Engineering Languages and Systems, MODELS 2023

作者： Martinez-Lasaca, Francisco Diez, Pablo Guerra, Esther De Lara, Juan UGROUND Madrid Spain Universidad Autonoma de Madrid Madrid Spain

ISBN: (纸本)9798350324808

The increasing popularity of model-based and low-code platforms has raised the need to understand large models-especially in industrial settings. However, current approaches mainly rely on graph-based visual metaphors, which do not scale well with large model sizes. To address this issue, we introduce model sensemaking strategies: purposeful model visualisations based on alternative visual metaphors. We define them as reusable patterns that yield tailored visualisations when applied to meta-models. This paper presents a catalogue of domain-specific and domain-Agnostic sensemaking strategies, and a recommender that suggests suitable strategies for a given meta-model. To showcase the framework's applicability, we have implemented some of these strategies in Dandelion, an industrial, low-code graphical language workbench for the cloud. Using this platform, we have evaluated the effectiveness of the strategies to visualise large industrial models by the UGROUND company. © 2023 ieee.

关键词： visualization

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Building Electricity Consumption Analysis: Data-Driven Approach with Preprocessing, visualization, and Cluster Analysis

Building Electricity Consumption Analysis: Data-Driven Appro...

引用

2023 International conference on Electronics and Devices, Computational Science, ICEDCS 2023

作者： Qin, Hong Zhao, Zhuoliang Cao, Xiu Li, Shilong Zhang, Jiakun Yang, Zhexun State Grid Shanghai ShiNan Electric Power Supply Company Shanghai China Fudan University Shanghai China

ISBN: (纸本)9798350343038

Electricity consumption data for the building for the period September 2021 to March 2023 were processed and analyzed for this study. The dataset consists of electricity consumption data at 96 time points per day, covering 31 consecutive months. The goal of this study is to provide a comprehensive analysis of the electricity consumption behavior of buildings, exploring temporal patterns, and extracting potential electricity consumption patterns. First, the data are preprocessed, including data cleaning, handling of missing values and outliers, and data normalization to ensure data accuracy and consistency. Then, through data visualization and statistical analysis, the periodicity of electricity consumption in buildings and the characteristics of electricity consumption during peak and trough hours are revealed. Based on this, cluster analysis was applied to group similar power usage patterns and identify different power usage characteristics. The results of the study provide important references and guidance for building energy management and energy saving optimization, and are expected to help building operators use energy resources more efficiently, reduce the cost of energy consumption, and reduce the impact on the environment. The study is of positive significance for the promotion of sustainable development and the development of intelligent buildings. © 2023 ieee.

关键词： Cluster analysis

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Smooth Panoramic Walkthrough for Adjacent Panoramic Viewpoints with Dense Spherical Matching Points

Smooth Panoramic Walkthrough for Adjacent Panoramic Viewpoin...

引用

14th Annual Summit and conference of the Asia-Pacific-Signal-and-information-Processing-Association (APSIPA ASC)

作者： Lee, Kyungjune Jang, Mingyu Kim, Taewan Lee, Sanghoon Yonsei Univ Seoul 03722 South Korea Dongduk Womens Univ Seoul 02748 South Korea

ISBN: (数字)9786165904773

ISBN: (纸本)9786165904773

A smooth walkthrough between two adjacent viewpoints in three-dimensional (3-D) space is the key idea for increasing interactive experiences. It is a relatively easy task when we have the fully 3-D structure of two points. However, most people need a lot of effort to collect 3-D data, and using them efficiently is even harder. In this paper, we propose an algorithm that can create a realistic and natural panoramic walkthrough through two 360-degree panorama images. We estimate the correlated keypoints between the two images through feature matching by using 360-degree images of two points selected by the user. These key points are connected to each other to create faces. By using the spherical coordinate system, the existing key points can be expanded and more detailed faces can be determined. Using the characteristics of the panorama image, we predict the movement of keypoints in the spherical coordinate system, and through this, we predict and create a 360-degree panorama image just as the user moves between the two adjacent images. When moving the space between two points, the users can experience a virtual world through a 360-degree image of the space. With this algorithm, we can access the free view of the rotation and translation of the space by using only the 360 degrees panorama image of the two adjacent points. Hence, we validate our result with the MOS test on various walkthrough situations and our proposed algorithm shows the most preference among users compared to prior algorithms.

关键词： visualization Roads information processing Prediction algorithms Task analysis Floors Faces

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The Realtime Yoga Assistance System 5

The Realtime Yoga Assistance System

引用

5th International conference on Advancements in Computing, ICAC 2023

作者： Nishanthan, Kanagasunderam Sivalingam, Mathyvathana Rajamanoharan, Priyanthi Arulneasan, Thusara Perera, Jeewaka Kasthuriarachchi, Sanvitha Sri Lanka Institute of Information Technology Department of Information Technology Malabe Sri Lanka Sri Lanka Institute of Information Technology Facaulty of Computing Malabe Sri Lanka

ISBN: (纸本)9798350358131

Yoga, an ancient practice originating from India, has gained immense popularity worldwide due to its numerous physical and mental benefits. Through asana and other breathing practices, it is utilized to harmonize the body. The restrictions of standard ways of learning yoga, which frequently relies on hiring instructors or self-learning through reading materials are the issue this study attempts to address. These methods might not be feasible for many people in the present world. Therefore, there is a need to digitalize the yoga learning process, utilizing technology to provide practitioners with scalable and practical ways to practice yoga efficiently. The importance of this study lies in its ability to offer a uniform framework for identifying yoga asanas, facilitating effective instruction, and clear communication. The creation of precise performance tracking, 3D visualization, and recommendation can also improve clients' safety and individualized performance. The web application aims to solve the problem of yoga asana classification and performance tracking by using machine learning algorithms. In the end, the application implemented using modern technologies to achieve accuracy levels of better than 82% for all machine learning models. These results have significant implications for various stakeholders in the field of yoga, including practitioners and instructors. © 2023 ieee.

关键词： Long short-term memory

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Providers-Clients-Robots: Framework for spatial-semantic planning for shared understanding in human-robot interaction 31

Providers-Clients-Robots: Framework for spatial-semantic pla...

引用

31st ieee International conference on Robot and Human Interactive Communication (RO-MAN) - Social, Asocial, and Antisocial Robots

作者： Kathuria, Tribhi Xu, Yifan Chakhachiro, Theodor Yang, X. Jessie Ghaffari, Maani Univ Michigan Ann Arbor MI 48109 USA

ISBN: (纸本)9781728188591

This paper develops a novel framework called Providers-Clients-Robots (PCR), applicable to socially assistive robots that support research on shared understanding in human-robot interactions. Providers, Clients, and Robots share an actionable and intuitive representation of the environment to create plans that best satisfy the combined needs of all parties. The plans are formed via interaction between the Client and the Robot based on a previously built multi-modal navigation graph. The explainable environmental representation in the form of a navigation graph is constructed collaboratively between Providers and Robots prior to interaction with Clients. We develop a realization of the proposed framework to create a spatial-semantic representation of an indoor environment autonomously. Moreover, we develop a planner that takes in constraints from Providers and Clients of the establishment and dynamically plans a sequence of visits to each area of interest. Evaluations show that the proposed realization of the PCR framework can successfully make plans while satisfying the specified time budget and sequence constraints and outperforming the greedy baseline.

关键词： visualization Navigation Pipelines Assistive robots Autonomous agents Planning Indoor environment

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Augmented Reality-Based visualization and Simulation of Autonomous Unmanned Aerial Vehicle Control System

Augmented Reality-Based Visualization and Simulation of Auto...

引用

International conference on Computational Science and Computational Intelligence (CSCI)

作者： Abduighani, Mokhles M. Walters, Wilbur L. Ii, Khalid Jackson State Univ Jackson MS 39217 USA

ISBN: (纸本)9798350361513;9798350372304

Although the incorporation of sensing, actuators, and controllers make robots powerful systems, simulating them is a big challenge. While it is possible to assemble a simulator from the innumerable graphics, kinematics, physics and libraries, the architecture and control procedure are crucial to shaping the interaction of these elements and consequently the general performance of the robotic system. This paper reviews the capability of two different robotic simulation platforms to simulate different robotic systems that allow for direct interface of various control techniques implemented in MATLAB. This direct interface with Augmented Reality (AR) and simulation models allows more accessibility to test and evaluate the designed control systems to a general-public by reducing the model operation complexity. Using AR simulators reduces the cost, strengthens productivity, and increases the quality of design by offering a flexible diagnostic and evaluation method using AR.

关键词： Augmented reality Robot Simulation CoppeliaSim V-Rep Unity 3D MATLAB Simulink 3D simulation Real-time Control

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ieee Transactions on visualization and Computer Graphics ieee visualization and Visual Analytics conference

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ieee Transactions on visualization and Computer Graphics 2024年第1期31卷 i-i页

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Smart Gradational Vehicle Disassembling and Troubleshooting Support Assistant 5

Smart Gradational Vehicle Disassembling and Troubleshooting ...

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5th International conference on Advancements in Computing, ICAC 2023

作者： Tennakoon, Suvin Wickramasinha, Pamuditha Ranathunga, Hasini Ulpathakumbura, Chathuranga Kasthurirathna, Dharshana Samaratunge Arachchillage, Udara Srimath S. Sri Lanka Institute Information Technology Department of Computer Science and Software Engineering Malabe Sri Lanka Sri Lanka Institute Information Technology Department of Information Technology Malabe Sri Lanka

ISBN: (纸本)9798350358131

The world of vehicle service and troubleshooting can be daunting for individuals without specialized training. Vehicle manuals are often complex and challenging to comprehend, while relying on experienced mechanics for assistance can be inconvenient and expensive. To address these challenges, this research paper presents the development of an interactive vehicle service assistance system that empowers vehicle owners to independently service and troubleshoot their vehicles. The proposed system encompasses four key components: a knowledgebase construction, write semantic rules (SWRL), real-time object identification using YOLO model, audio feedback and stepwise guidance for customer. The knowledgebase is used for stepwise guidance for disassembling engine through employing marker-less Augmented Reality (AR). The knowledgebase component offers user-friendly access to troubleshooting techniques based on insights from experienced mechanics. By providing stepwise instructions accompanied by AR based visualization, users can effectively learn the process of deconstructing and assembling different components of their automobiles. The proposed system enhances vehicle troubleshooting experiences by enabling owners to acquire the necessary skills to self-troubleshooting without involving external assistance and empower individuals to take control of their own vehicles. © 2023 ieee.

关键词： Augmented reality

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Comparative Analysis of Fruit Fly-Inspired Multi-Robot Cooperative Algorithm for Target Search and Rescue

Comparative Analysis of Fruit Fly-Inspired Multi-Robot Coope...

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2022 ieee World conference on Applied Intelligence and Computing, AIC 2022

作者： Garg, Vikram Tiwari, Ritu Shukla, Anupam Abv - Indian Institute of Information Technology & Management Department of Information & Communication Technology M.P Gwalior India Indian Institute of Information Technology Department of Computer Science & Engineering Maharashtra Pune India

ISBN: (数字)9781665479882

ISBN: (纸本)9781509050017

In an unforeseen or human-made disaster, any search and rescue agency's primary concern are to locate the survivor immediately. For the victim's survival, even minutes may play a critical part. To strengthen the performance of the SAR community, the research community could introduce some creative technologies. With faster victim searches, initial assessment and visualization of the environment, and real-time assessment and management of search and rescue operations, multi-robot programs can significantly increase the productivity of search and rescue operations. This article proposes an intelligent algorithm based on the fruit fly optimization algorithm's food search pattern. To update the fruit flies' position and speed, it uses particle swarm optimization. Repeated research simulations have confirmed the feasibility of the proposed process in a forest-like environment. The simulation results under different scenarios and performance comparison with existing techniques show the proposed algorithm's accuracy and robustness to be quite efficient in terms of detection rate and search and rescue time. The detection rate improves 10-25% and search and rescue time by 5 to 15%. © 2022 ieee.

关键词： Multipurpose robots

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