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Stable Visual Summaries for Trajectory Collections 14

Stable Visual Summaries for Trajectory Collections

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14th ieee Pacific visualization symposium (ieee PacificVis)

作者： Wulms, Jules Buchmueller, Juri Meulemans, Wouter Verbeek, Kevin Speckmann, Bettina TU Wien Vienna Austria Univ Konstanz Constance Germany TU Eindhoven Eindhoven Netherlands

ISBN: (纸本)9781665439312

The availability of devices that track moving objects has led to an explosive growth in trajectory data. When exploring the resulting large trajectory collections, visual summaries are a useful tool to identify time intervals of interest. A typical approach is to represent the spatial positions of the tracked objects at each time step via a one-dimensional ordering;visualizations of such orderings can then be placed in temporal order along a time line. There are two main criteria to assess the quality of the resulting visual summary: spatial quality - how well does the ordering capture the structure of the data at each time step, and stability - how coherent are the orderings over consecutive time steps or temporal ranges? In this paper we introduce a new Stable Principal Component (SPC) method to compute such orderings, which is explicitly parameterized for stability, allowing a trade-off between the spatial quality and stability. We conduct extensive computational experiments that quantitatively compare the orderings produced by ours and other stable dimensionality-reduction methods to various state-of-the-art approaches using a set of well-established quality metrics that capture spatial quality and stability. We conclude that stable dimensionality reduction outperforms existing methods on stability, without sacrificing spatial quality or efficiency;in particular, our new SPC method does so at a fraction of the computational costs.

关键词： Human-centered computing visualization visualization techniques Mathematics of computing Probability and statistics Statistical paradigms Dimensionality reduction

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NetScatter: Visual analytics of multivariate time series with a hybrid of dynamic and static variable relationships 14

<i>NetScatter</i>: Visual analytics of multivariate time ser...

引用

14th ieee Pacific visualization symposium (ieee PacificVis)

作者： Nguyen, Bao D. Q. Hewett, Rattikorn Dang, Tommy Texas Teach Univ Lubbock TX 79409 USA

ISBN: (纸本)9781665439312

The ability to capture common characteristics among complex multivariate time series variables can profoundly impact big data analytics in uncovering valuable insights into the relationships among them and enabling a dimensionality reduction technique. Two widely used data displays include time series and scatter plots. While the former focuses on the dynamics over time, the latter deals with static relationships among variables. Motivated by these distinctive perspectives, our research aims to maximally utilize the information captured by both at the same time. This paper presents NetScatter, a visual analytic approach to characterizing changes of pairwise relationships in a high-dimensional time series. Unlike most traditional techniques that employ a single perspective of the visual display, our approach combines static perspectives of two variables in multivariate time series into a single representation by comparing all data instances over two different time steps. The paper also introduces a list of visual features of the representation to capture how overall data evolve. We have implemented a web-based prototype that supports a full range of operations, such as ranking, filtering, and details on demand. The paper illustrates the proposed approach on data of various sizes in different domains to demonstrate its benefits.

关键词： Human-centered computing Time series analysis High-dimensional data Visual analytics

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RESEARCH ON RANSAC FILTERING OPTIMIZATION METHOD OF STEEL STRUCTURE BUILDINGS BASED ON MORPHOLOGICAL FEATURES

RESEARCH ON RANSAC FILTERING OPTIMIZATION METHOD OF STEEL ST...

引用

ieee International Geoscience and Remote Sensing symposium (IGARSS)

作者： Tang, Feifei Wang, Juhui Wang, Zhangpeng Xiao, Min Chongqing Jiaotong Univ Chongqing Smart City Inst Chongqing 400074 Peoples R China Shanghai Baoye Grp Co Ltd Shanghai 201908 Peoples R China Hangzhou Qiantang Surveying & Mapping Co Ltd Hangzhou 310000 Peoples R China

ISBN: (数字)9781665427920

ISBN: (纸本)9781665427920

The laser point cloud data of complex steel structure buildings and structures includes a large number of noise points, and because the shielding is serious, it is easy to lead to the extremely uneven point density, leading to serious impacts on accurate noise elimination. Traditional filtering methods commonly use a single mathematical model, which is difficult to achieve effective filtering. In this paper, a filtering method combining RANSAC algorithm with point cloud principal component analysis and connectivity analysis is proposed. Firstly, according to the cylinder structural characteristics of the steel structure, RANSAC algorithm is used to detect the cylinder point cloud, eliminating some scattered noise points. Then the principal component analysis is carried out to obtain the noise points appeared as a small number of clusters. Finally, according to the connectivity characteristics of the structure, the point cloud connectivity is used to distinguish the noise point cluster from the steel structure point cloud, so as to obtain a more accurate and complete steel structure point cloud. In this paper, the laser point cloud of a sports venue is taken as the experimental data, processed by the proposed filtering method, and then compared with the traditional filtering method. The experimental results show that the filtering method can eliminate the noise more accurate and obtain a more complete steel structure point cloud.

关键词： laser point cloud random sampling consistency principal component analysis connectivity analysis filtering

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EuroVis 2022 - 24th Eurographics Conference on visualization 2022

EuroVis 2022 - 24th Eurographics Conference on Visualization...

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24th Eurographics Conference on visualization, EuroVis 2022

The proceedings contain 44 papers. The topics discussed include: of course it’s political! a critical inquiry into underemphasized dimensions in civic text visualization;visual analytics of contact tracing policy simulations during an emergency response;effective use of Likert scales in visualization evaluations: a systematic review;how accessible is my visualization? evaluating visualization accessibility with chartability;seeing through sounds: mapping auditory dimensions to data and charts for people with visual impairments;ModelWise: interactive model comparison for model diagnosis, improvement and selection;infographics wizard: flexible infographics authoring and design exploration;reusing interactive analysis workflows;leveraging analysis history for improved in situ visualization recommendation;and visual parameter selection for spatial blind source separation.

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large Signal Temperature Coefficient of Frequency

Large Signal Temperature Coefficient of Frequency

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ieee International Ultrasonics symposium (IUS)

作者： Limanto, Denny Gamini, Divya Money, Christopher Fendrich, John Qorvo Acoust Technol Greensboro NC 27409 USA

ISBN: (数字)9781665466578

ISBN: (纸本)9781665466578

The rise of stacked, layered, suspended, and other less uniform acoustic devices for mobile products is now the standard technological state. Characterization of these various types of acoustic devices over temperature, power, and frequency ensures product performance and quality. Thermal performance figures of merit include Temperature Coefficient of Frequency TCF, Device Temperature Tdevice, and Thermal Resistance Rth where TCF is usually the most commonly determined and reported in the literature. The TCF parameter uses analysis of either resonator or filter s-parameter data over ambient temperature and is defined as TCF = 1/f(0). Delta f/Delta T. For standard small-signal TCF measurements, temperature is controlled uniformly throughout the entire resonator or filter closely mimicking filters used in low power applications. For high power applications, filter operation can be in the presence of high rf powers where power and temperature distributions are no longer uniform thereby introducing a new parameter large-signal TCF LS_TCF for more accurate thermal analysis of acoustic devices. The definition and significance of LS_TCF parameter are discussed in detail in this paper.

关键词： Figure of Merit SAW BAW filter power handling thermal-dependent frequency shift thermal resistance Infra-red thermal sensor image dynamic thermal design TCF LS_TCF

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Disaster Management Ecosystem Using Crowdsourced data, Deep Learning and NLP 5

Disaster Management Ecosystem Using Crowdsourced Data, Deep ...

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5th International Conference on Sustainable Communication Networks and Application, ICSCNA 2024

作者： Savale, Vaishali Patil, Siddhi Raut, Atharva Phadke, Mrunmayee Sundkar, Rahul Dongre, Rajkumar Vishwakarma Institute of Technology Department of Artificial Intelligence and Data Science Engineering Maharashtra Pune411037 India

ISBN: (纸本)9798331530013

In recent years, the frequency and intensity of natural disasters have increased, necessitating more efficient and responsive disaster management systems. This paper presents a novel disaster management solution leveraging crowdsourced data to enhance disaster response and coordination. The system bridges the gap between citizens and emergency management officials by composing a mobile application for citizens to send real-time disaster alerts and a web application for administrators to monitor and manage these alerts. A customized DBSCAN algorithm, adapted to use haversine distance, is deployed to detect clusters of disaster alerts in real time, indicating potential disaster events. Upon cluster detection, administrators can delineate affected areas on a map, triggering notifications to users within these regions and enabling them to send help requests with images and messages. These help requests are processed using the BLIP model for image captioning and the ChatGPT API for categorization, assigning relevant tags to each request. The system provides administrators with real-time data analysis features, including map filtering and citizen help request category visualization, enabling more informed decision-making. Utilizing a cloud-based architecture ensures scalability, reliability, and efficient processing of large volumes of data. This research demonstrates the system's capability to provide timely alerts and comprehensive situational awareness, ultimately contributing to more efficient disaster management. © 2024 ieee.

关键词： Information management

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EuroVis 2022 - 24th Eurographics Conference on visualization 2022, Short Papers

EuroVis 2022 - 24th Eurographics Conference on Visualization...

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24th Eurographics Conference on visualization, EuroVis 2022

ISBN: (纸本)9783038681847

The proceedings contain 21 papers. The topics discussed include: evaluating countable texture elements to represent bathymetric uncertainty;how effective are uni- and multivariate typographic encodings? studying the usage of fontweight, oblique angle, and spacing;inferential tasks as an evaluation technique for visualization;face-based glyphs revisited;the effect of graph layout on the perception of graph density: an empirical study;metaphoric maps for dynamic vertex-weighted graphs;augmented intelligence with interactive Voronoi treemap for scalable grouping: a usage scenario with wearable data;blocks: creating rich tables with drag-and-drop interaction;towards multimodal exploratory data analysis: SoniScope as a prototypical implementation;data+Shift: supporting visual investigation of data distribution shifts by data scientists;explaining black box with visual exploration of latent space;DASH: visual analytics for debiasing image classification via user-driven synthetic data augmentation;and a design study of visualizing historical book movement.

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Simplification of full spectrum soundscape analysis using specific frequencies

Simplification of full spectrum soundscape analysis using sp...

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ieee International symposium on Underwater Technology (UT)

作者： Chiu-Leung, Leo James Cook Univ Coll Sci & Engn Townsville Qld Australia

ISBN: (纸本)9798350331752

Soundscapes are complex three-dimensional datasets that represent the sum total of sound within an environment, detailing the intensities and frequencies of signals within a time series. These data generates a three-dimensional graph that shows sound events generated by various sources of animals, anthropogenic sources, and environmental causes along a time series. These graphs are information dense and non-specific in nature, as it captures all sounds generated within the audible range of the receiver. Thus, the collection and processing of soundscape data remains a technological bottleneck due to the need for a large volume of acoustic datapoints to representatively map acoustic environments within time. Furthermore, the analysis of environmental acoustic data is difficult to comprehend without summarization or specialist knowledge. Acoustic events will occur as higher decibel pressure signals within a time series of an acoustic soundscape. Biological sounds are typically shown as complex groups of frequencies within a timeframe, these will occur and show as multiple frequencies of varying intensity on a soundscape. The strength of these signals and the distance from the receiver will determine how well these sounds are captured. Specific acoustic events are difficult to identify without knowledge of the acoustic signatures of potential causers, and may be challenging to separate from the soundscape noise depending on the ambient acoustic conditions. The ability to detect acoustic events is determined by how contrasted the relevant acoustic events are with the other environmental sound events and if there is any ambient masking in the environment. This paper demonstrates that the frequency bands of 63, 160, 400, 1000, 2500, 6250, and 16000 hertz can be used in place of a full frequency spectrum analysis. As acoustic events are complex, with varying intensity and frequency over a time period, furthermore these sounds generate harmonics, which further increases the

关键词： Soundscapes Hong Kong International Airport Bioacoustics frequency analysis Acoustic events

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Fluorescence Image visualization using Multi-Channel Minimax Optimization (MCMO)

Fluorescence Image Visualization using Multi-Channel Minimax...

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Annual ieee symposium on Computer-Based Medical Systems

作者： Yongjian Yu Jue Wang Axon Connected LLC Earlysville VA USA Department of Mathematics Union College Schenectady NY USA

Fluorescence microscope data analysis for liquid biopsy needs to be evidenced by object visualization on the display. This visualization heavily depends on the operator's tuning of the display settings, which is typically achieved through conventional linear stretching or windowing/leveling techniques. However, manual tuning can introduce variability and bias, leading to reduced throughput of analysis verifications. We propose a novel method for enhancing multi-channel fluorescence images by optimizing the visualization of assay-related objects. This problem is formulated as a variational minimax optimization of the histogram-equalizing energy with data distortion regularization. Our method seamlessly merges the resolved, enhanced objects of interest with the background, resulting in high performance and overall visual coherence.

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An Integrated Web Solution for Planetary data visualization and Exploration

An Integrated Web Solution for Planetary Data Visualization ...

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Remote Sensing symposium (InGARSS), 2020 ieee India Geoscience and

作者： Ananya Maheshwari Love Lakhwani Pariav Naik Abhishek Kumar Jai G. Singla Amitabh Nitant Dube VijayPal Singh Dhaka School of Computing and Intelligent Systems Manipal University Jaipur Dehmi Kalan Jaipur Rajasthan India Department of Computer Engineering Charotar University of Science and Technology Anand Gujarat India Department of Electrical Engineering Indian Institute of Technology Bhubaneshwar Bhubaneshwar Odisha India Signal and Image Processing Area Space Applications Centre ISRO Ahmedabad Gujarat India

ISBN: (数字)9798350390346

ISBN: (纸本)9798350390353

The exploration and study of planetary bodies have produced vast amounts of geospatial data, creating a need for effective visualization and analysis tools. Many existing solutions are constrained by platform limitations and are resource-intensive, reducing their accessibility for broader use. To overcome these challenges, we developed a lightweight, web-based platform that visualizes interplanetary data and supports multiple geospatial data formats, including shapefiles, KML, and CZML. Our solution includes unique features such as 2D and 2.5D terrain visualization, 3D tiles, and tools for navigating to specific coordinates and measuring distances. These enhancements allow users to explore and interact with geospatial data from various planetary bodies across multiple devices without requiring specialized hardware or software. By modifying the underlying system, we extended its application to planetary data while preserving accessibility and performance across different platforms. This paper discusses the methodology behind these customizations, the challenges we encountered, and the potential applications of our platform in scientific research and education.

关键词： Performance evaluation Three-dimensional displays Coordinate measuring machines Navigation data visualization Geoscience and remote sensing Extraterrestrial measurements Software Hardware Geospatial analysis

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