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visual exploration of migration patterns in gull data

INFORMATION visualIZATION 2019年第1期18卷 138-152页

作者： Konzack, Maximilian Gijsbers, Pieter Timmers, Ferry van Loon, Emiel Westenberg, Michel A. Buchin, Kevin TU Eindhoven POB 513 NL-5600 MB Eindhoven Netherlands Univ Amsterdam Amsterdam Netherlands

We present a visual analytics approach to explore and analyze movement data as collected by ecologists interested in understanding migration. Migration is an important and intriguing process in animal ecology, which may be better understood through the study of tracks for individuals in their environmental context. Our approach enables ecologists to explore the spatio-temporal characteristics of such tracks interactively. It identifies and aggregates stopovers depending on a scale at which the data is visualized. Statistics of stopover sites and links between them are shown on a zoomable geographic map which allows to interactively explore directed sequences of stopovers from an origin to a destination. In addition, the spatio-temporal properties of the trajectories are visualized by means of a density plot on a geographic map and a calendar view. To evaluate our visual analytics approach, we applied it on a data set of 75 migrating gulls that were tracked over a period of 3 years. The evaluation by an expert user confirms that our approach supports ecologists in their analysis workflow by helping to identifying interesting stopover locations, environmental conditions or (groups of) individuals with characteristic migratory behavior, and allows therefore to focus on visual data analysis.

关键词： visual analytics animal behavior data visualization spatio-temporal visualization geovisualization

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GPU-Embedding of kNN-Graph Representing Large and High-Dimensional data 20th

GPU-Embedding of kNN-Graph Representing Large and High-Dimen...

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20th Annual International conference on Computational Science (ICCS)

作者： Minch, Bartosz Nowak, Mateusz Wcislo, Rafal Dzwinel, Witold AGH Univ Sci & Technol Krakow Poland

ISBN: (纸本)9783030504175;9783030504168

Interactive visual exploration of large and multidimensional data still needs more efficient ND -> 2D data embedding (DE) algorithms. We claim that the visualization of very high-dimensional data is equivalent to the problem of 2D embedding of undirected kNN-graphs. We demonstrate that high quality embeddings can be produced with minimal time&memory complexity. A very efficient GPU version of IVHD (interactive visualization of high-dimensional data) algorithm is presented, and we compare it to the state-of-the-art GPU-implemented DE methods: BH-SNE-CUDA and AtSNE-CUDA. We show that memory and time requirements for IVHD-CUDA are radically lower than those for the baseline codes. For example, IVHD-CUDA is almost 30 times faster in embedding (without the procedure of kNN graph generation, which is the same for all the methods) of the largest (M = 1.4 . 10(6)) YAHOO dataset than AtSNE-CUDA. We conclude that in the expense of minor deterioration of embedding quality, compared to the baseline algorithms, IVHD well preserves the main structural properties of ND data in 2D for radically lower computational budget. Thus, our method can be a good candidate for a truly big data ( M = 10(8+)) interactive visualization.

关键词： High-dimensional data data embedding kNN graph visualization GPU implementation

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Research on visualization data of hotspots and development trend of domestic smart scenic spots 21

Research on visualization data of hotspots and development t...

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Proceedings of the 2021 4th International conference on E-Business, Information Management and Computer Science

作者： Yuanjing Zhang Wuhan Business University China

ISBN: (纸本)9781450395687

In this paper, Knowledge Map is used to make a visual analysis of 802 Chinese papers related to smart scenic spot research collected by CNKI, discuss the hot spots and development trends of smart scenic spot research in China. The research finds that the promotion of smart tourism policy plays a positive role in promoting the national smart tourism reform plan and realizing the establishment and implementation of smart tourism scenic spots in various regions, thus driving the growth of literature quantity. Nowdays the hotspots of smart tourism research in China focus on "smart scenic spots" "smart tourism" "scenic spot management" and "tourist attractions", with increasing heat. However, core authors and institutions published fewer papers, and their cooperation with each other was scattered, so no representative academic group was formed. At the same time, the cooperation of most research institutions in China is divided by regional scope, and trans-regional, cross-disciplinary and cross-institutional cooperation needs to be further strengthened. At present, domestic researches on smart scenic spots have gone deep into the practical application level, at the present stage, the development results are uneven, and the efficiency of production, education and research institutes is not obvious. In the future, the high-quality development of smart scenic spots still needs the exploration and deepening of scientific researchers.

关键词： Artificial intelligence

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IoT search engines: Exploratory data analysis 17

IoT search engines: Exploratory data analysis

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17th International conference on Mobile Systems and Pervasive Computing, MobiSPC 2020

作者： Fagroud, Fatima Zahra Ajallouda, Lahbib Lahmar, El Habib Ben Toumi, Hicham Achtaich, Khadija El Filali, Sanaa Laboratory of Information Technology and Modeling Faculty of Sciences Ben M'sik Hassan II University-Casablanca BP 7955 Sidi Othman Casablanca Morocco Higher School of Technology Sidi Bennour Chouaïb Doukkali University El Jadida Morocco ENSIAS Mohammed V University Rabat Morocco

IOT search engine (IOTSE) is a search tool proposed with the aim to allow research, list and identification of IOT devices (All devices connected to the internet represent an IOT device). This tool provides a huge amount of data, which is justified by the exponential increase of the number of objects connected in the world. The data provided must be analyzed and interpreted in the aim to give a better understanding, quickly description and help to make decisions. In this work we applied exploratory data analysis on IOT search engine data in order to give an analysis of IOTSE data with visual method. © 2020 The Authors.

关键词： Search engines

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DFVS: Deep Flow Guided Scene Agnostic Image Based visual Servoing

DFVS: Deep Flow Guided Scene Agnostic Image Based Visual Ser...

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IEEE International conference on Robotics and Automation (ICRA)

作者： Harish, Y. V. S. Pandya, Harit Gaud, Ayush Terupally, Shreya Shankar, Sai Krishna, K. Madhava IIIT Hyderabad Hyderabad India Univ Lincoln Lincoln England Mathworks Bengaluru India

ISBN: (纸本)9781728173955

Existing deep learning based visual servoing approaches regress the relative camera pose between a pair of images. Therefore, they require a huge amount of training data and sometimes fine-tuning for adaptation to a novel scene. Furthermore, current approaches do not consider underlying geometry of the scene and rely on direct estimation of camera pose. Thus, inaccuracies in prediction of the camera pose, especially for distant goals, lead to a degradation in the servoing performance. In this paper, we propose a two-fold solution: (i) We consider optical flow as our visual features, which are predicted using a deep neural network. (ii) These flow features are then systematically integrated with depth estimates provided by another neural network using interaction matrix. We further present an extensive benchmark in a photo-realistic 3D simulation across diverse scenes to study the convergence and generalisation of visual servoing approaches. We show convergence for over 3m and 40 degrees while maintaining precise positioning of under 2cm and 1 degree on our challenging benchmark where the existing approaches that are unable to converge for majority of scenarios for over 1.5m and 20 degrees. Furthermore, we also evaluate our approach for a real scenario on an aerial robot. Our approach generalizes to novel scenarios producing precise and robust servoing performance for 6 degrees of freedom positioning tasks with even large camera transformations without any retraining or fine-tuning.

关键词： visual servoing Cameras Convergence visualization Adaptive optics Task analysis

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Research on visual Programming System of Gesture Interaction Interface in VR 20

Research on Visual Programming System of Gesture Interaction...

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4th International conference on Big data and Internet of Things, BDIOT 2020

作者： Xiao, Wei-Ye Duan, Jun-Zou Xue, Cheng-Qi Dept.ID Southeast University Jiang-Su Province China Zhejiang University Zhe-jiang Province China

ISBN: (纸本)9781450375504

The emergence of virtual Reality(VR) has brought tremendous challenges to user interface(UI) design. The lack of a systematic summary of VR environment characteristics and UI models prevents us from developing mature design tools. This article intends to build a development system for VR interface based on gesture interaction and visual programming. Derived from a analysis of interface characteristics and interaction features in three-dimensional(3D) environment, an efficient UI development workflow is formed. This workflow can conveniently develop and debug the 3D interface in VR. The exploration of VR interface design methods in this article has important reference value for interface design in future. © 2020 ACM.

关键词： User interfaces

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Information-Theoretic Methods Applied to Dispatch of Emergency Services data 14th

Information-Theoretic Methods Applied to Dispatch of Emergen...

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14th International conference on Augmented Cognition (AC)

作者： Hancock, Monte Hancock, Katy Tree, Marie Kirshner, Mitchell Bowles, Benjamin 4Digital Gloucester MA USA Murray State Univ Murray KY 42071 USA Sirius 20 New York NY USA Univ Arizona Tucson AZ USA

ISBN: (纸本)9783030504380;9783030504397

The dispatch of emergency services is a complex cognitive task. Current decision support methods rely heavily on manual analysis of maps and map overlays. This paper aims to use call for service/emergency (CFS) dispatch data from various cities to look for patterns not usually amenable to visual analysis that could be used to create decision support tools ormethods for dispatchers who must allocate first responder resources under emergency conditions. The authors have collected from the Police data Initiative, a publicly available government repository that contains millions of annotated 911 dispatch records. The authors have selected three major American cities (Hartford, CT;Lincoln, NE;and Orlando, FL). Three experiments are performed to assess possible benefits of augmenting conventional manual methods with automated analysis derived using methods of data science. In particular, high-dimensional and non-linearly coded information not amenable to manual analysis are considered.

关键词： 911 system Crime mapping Crime informatics

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Efficient 2D ultrasound simulation based on dart-throwing 3D scatterer sampling

Efficient 2D ultrasound simulation based on dart-throwing 3D...

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European Signal Processing conference (EUSIPCO)

作者： François Gaits Nicolas Mellado Adrian Basarab Institut de Recherche en Informatique de Toulouse UMR CNRS 5505 Université de Toulouse France Université de Lyon INSA-Lyon Université Claude Bernard Lyon 1 UJM-Saint Etienne CNRS Inserm Villeurbanne France

ISBN: (数字)9789082797091

ISBN: (纸本)9781665467995

Ultrasound image simulation is a well-explored field with the main objective of generating realistic synthetic images, further used as ground truth (e.g. for training databases in machine learning), or for radiologists' training. Several ultrasound simulators are already available, most of them consisting in similar steps: (i) generate a collection of tissue mimicking individual scatterers with random spatial positions and random amplitudes, (ii) model the ultrasound probe and the emission and reception schemes, (iii) generate the RF signals resulting from the interaction between the scatterers and the propagating ultrasound waves. To ensure fully developed speckle, a few tens of scatterers by resolution cell are needed, demanding to handle high amounts of data (especially in 3D) and resulting into important computational time. The objective of this work is to explore new scatterer spatial distributions, with application to 2D slice simulation from 3D volumes. More precisely, lazy evaluation of pseudo-random schemes proves them to be highly computationally efficient compared to uniform random distribution commonly used. A statistical analysis confirms the visual impression of the results.

关键词： Training Solid modeling visualization Ultrasonic imaging Three-dimensional displays Statistical analysis Computational modeling

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Sentiment analysis as an Indicator to Evaluate Gender disparity on Sexual Violence Tweets in South Africa

Sentiment Analysis as an Indicator to Evaluate Gender dispar...

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International SAUPEC/RobMech/PRASA conference

作者： Imuede, Jude Raborife, Mpho Ranchod, Pravesh Univ Witwatersrand Sch Comp Sci & Appl Math Johannesburg South Africa Univ Johannesburg Sch Consumer Intelligence & Informat Syst Johannesburg South Africa

ISBN: (纸本)9781728141626

South Africa has one of the highest rates of sexual violence in the world, and with this technology era being the information age, it is not suprising that people are turning to social media to voice their views on this matter. As tweets on sexual violence grow continually, extracting insights from such data demands a robust, real-time, and scalable tools with flexibility in the database schema. Elasticsearch (ES) is an example of a free-license search engine written in Java and developed on Apache Lucene that meets the stated requirements. On the other hand, Kibana facilitates intuitive dashboard development, visual exploration, and real-time analysis of an index in ES through an intuitive graphical user interface. This study demonstrates how gender was inferred and evaluated through the integration of deep neural networks and Google's TensorFlow. We used the AFINN model to infer sentiment analysis as our measure of gender disparity in this instance. The Indexer, built of Node. js, and defined as the hub of the system connects with the Twitter streaming API to ingest tweets found within the boundaries of sexual violence. This system runs persistently with tweets through the ES search engine and visualised in Kibana.

关键词： Terms Twitter API Tweet Gender Sentiment analysis Sexual violence TensorFlow South Africa

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PolyVis: Cross-Device Framework for Collaborative visual data analysis

PolyVis: Cross-Device Framework for Collaborative Visual Dat...

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IEEE International conference on Systems, Man and Cybernetics (SMC)

作者： Alsaiari, Abeer Johnson, Andrew Nishimoto, Arthur Univ Illinois Elect Visualizat Lab Chicago IL 60607 USA

ISBN: (纸本)9781728145693

Multi device environments present new opportunities for collaborative visual data analysis and sense making by utilizing each device's strengths and capabilities. However, one of the associated challenges with visual data analysis in multi device environments is the sharing of visual components across devices. We present a framework developed on top of SAGE2 platform for cross-device collaborative visual data exploration. As part of our framework, we contribute the concept of rapid development and assembling of visualizations that can span multiple devices of different modalities. It provides the users with an environment for visualization compositions that delegate the rendering to the target device, allowing them to augment their large display workspace with portable devices for further exploration territories. Facilitated by its intuitive visualization composition pipeline, users with no programming skills such as data analysts can enhance their analytical scope with no coding barriers. We describe the framework, its implementation with a use case, and the rationale behind its design.

关键词： visualization

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