Relevant bibliographies by topics / Dynamic visualizations

Academic literature on the topic 'Dynamic visualizations'

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Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Dynamic visualizations"

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Cherukuru, Nihanth W., and Tim Scheitlin. "Visual Comparator: An Interactive Tool for Dynamic Spatiotemporal Comparative Visualizations." Bulletin of the American Meteorological Society 101, no. 10 (October 1, 2020): E1861—E1869. http://dx.doi.org/10.1175/bams-d-19-0266.1.

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AbstractVisualizations enable us to detect patterns, time-evolving features, and trends in complex datasets that might not be obvious by looking at the raw data. The visual exploration process often requires comparisons between multiple visualizations, either from the same dataset or a different one, to identify relationships and patterns. This visualization process, referred to as comparative visualization, is valuable for analyzing multivariate, multispectral, or multidimensional data. The existing tools that facilitate visual comparisons do this by three means: juxtaposition (placing visuals side by side), superposition (overlaying visuals), and explicit encoding (visualizing a derived quantity corresponding to the relationship being studied). While superposition is ideal for static, geospatial datasets, where spatialization is a key component of the data, the spatiotemporal nature of Earth science datasets presents a challenge with comparative visualizations. Visual Comparator is an interactive, cross-platform (desktops, kiosks, and web), open-source application, developed to address this shortcoming. The application is used to superimpose and compare up to three synchronized, animated visualizations, and a transition between the visualizations is provided through a slider-based interface. This form of visualization has the advantage of drawing the viewers’ attention to changes between the datasets, enabling comparisons of scale, and reducing the clutter caused by having multiple variables in one visual. This article provides an overview of the project, a brief review of literature pertaining to human perception research and comparative visualizations, and a guide to accessing this application.
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Chin, George, Mudita Singhal, Grant Nakamura, Vidhya Gurumoorthi, and Natalie Freeman-Cadoret. "Visual Analysis of Dynamic Data Streams." Information Visualization 8, no. 3 (January 25, 2009): 212–29. http://dx.doi.org/10.1057/ivs.2009.18.

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For scientific data visualizations, real-time data streams present many interesting challenges when compared to static data. Real-time data are dynamic, transient, high-volume and temporal. Effective visualizations need to be able to accommodate dynamic data behavior as well as Abstract and present the data in ways that make sense to and are usable by humans. The Visual Content Analysis of Real-Time Data Streams project at the Pacific Northwest National Laboratory is researching and prototyping dynamic visualization techniques and tools to help facilitate human understanding and comprehension of high-volume, real-time data. The general strategy of the project is to develop and evolve visual contexts that will organize and orient high-volume dynamic data in conceptual and perceptive views. The goal is to allow users to quickly grasp dynamic data in forms that are intuitive and natural without requiring intensive training in the use of specific visualization or analysis tools and methods. Thus far, the project has prototyped five different visualization prototypes that represent and convey dynamic data through human-recognizable contexts and paradigms such as hierarchies, relationships, time and geography. We describe the design considerations and unique features of these dynamic visualization prototypes as well as our findings in the exploration and evaluation of their use.
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Vanden Hautte, Sander, Pieter Moens, Joachim Van Herwegen, Dieter De Paepe, Bram Steenwinckel, Stijn Verstichel, Femke Ongenae, and Sofie Van Hoecke. "A Dynamic Dashboarding Application for Fleet Monitoring Using Semantic Web of Things Technologies." Sensors 20, no. 4 (February 20, 2020): 1152. http://dx.doi.org/10.3390/s20041152.

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In industry, dashboards are often used to monitor fleets of assets, such as trains, machines or buildings. In such industrial fleets, the vast amount of sensors evolves continuously, new sensor data exchange protocols and data formats are introduced, new visualization types may need to be introduced and existing dashboard visualizations may need to be updated in terms of displayed sensors. These requirements motivate the development of dynamic dashboarding applications. These, as opposed to fixed-structure dashboard applications, allow users to create visualizations at will and do not have hard-coded sensor bindings. The state-of-the-art in dynamic dashboarding does not cope well with the frequent additions and removals of sensors that must be monitored—these changes must still be configured in the implementation or at runtime by a user. Also, the user is presented with an overload of sensors, aggregations and visualizations to select from, which may sometimes even lead to the creation of dashboard widgets that do not make sense. In this paper, we present a dynamic dashboard that overcomes these problems. Sensors, visualizations and aggregations can be discovered automatically, since they are provided as RESTful Web Things on a Web Thing Model compliant gateway. The gateway also provides semantic annotations of the Web Things, describing what their abilities are. A semantic reasoner can derive visualization suggestions, given the Thing annotations, logic rules and a custom dashboard ontology. The resulting dashboarding application automatically presents the available sensors, visualizations and aggregations that can be used, without requiring sensor configuration, and assists the user in building dashboards that make sense. This way, the user can concentrate on interpreting the sensor data and detecting and solving operational problems early.
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Hilpert, Martin. "Dynamic visualizations of language change." International Journal of Corpus Linguistics 16, no. 4 (December 21, 2011): 435–61. http://dx.doi.org/10.1075/ijcl.16.4.01hil.

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This paper uses diachronic corpus data to visualize language change in a dynamic fashion. Bivariate and multivariate data sets form the input for so-called motion charts, i.e. series of diachronically ordered scatterplots that can be viewed in sequence. Based on data from COHA (Davies 2010), two case studies illustrate recent changes in American English. The first study visualizes change in a diachronic analysis of ambicategorical nouns and verbs such as hope or drink; the second study shows structural change in the behavior of complement-taking predicates such as expect or remember. Whereas motion charts are typically used to represent bivariate data sets, it is argued here that they are also useful for the analysis of multivariate data over time. The present paper submits multivariate diachronic data to a multi-dimensional scaling analysis. Viewing the resulting data points in separate time slices offers a holistic and intuitive representation of complex linguistic change.
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Embse, Charles Vonder. "Dynamic Visualizations of Calculus Ideas." Mathematics Teacher 94, no. 7 (October 2001): 602–7. http://dx.doi.org/10.5951/mt.94.7.0602.

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Stephens, Sonia. "Communicating evolution with a Dynamic Evolutionary Map." Journal of Science Communication 13, no. 01 (March 13, 2014): A04. http://dx.doi.org/10.22323/2.13010204.

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Metaphors and visualizations are important for science communication, though they may have limitations. This paper describes the development and evaluation of a novel interactive visualization, the "Dynamic Evolutionary Map"' (DEM), which communicates biological evolution using a non-standard metaphor. The DEM uses a map metaphor and interactivity to address conceptual limitations of traditional tree-based evolutionary representations. In a pilot evaluation biology novices used the DEM to answer questions about evolution. The results suggest that this visualization communicates some conceptual affordances differently than trees. Therefore, the described approach of building alternative visual metaphors for challenging concepts appears useful for science communication.
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Witt, Jessica K., Benjamin A. Clegg, Lisa D. Blalock, and Amelia C. Warden. "The Impact of Familiarity on Visualizations of Spatial Uncertainty." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65, no. 1 (September 2021): 596–600. http://dx.doi.org/10.1177/1071181321651208.

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While visualization can support understanding complex phenomena, their effectiveness might vary with the recipient’s familiarity with both the phenomenon and the visualization. The current study contrasted interpretations of simulated hurricane paths using student populations from a high frequency hurricane area versus no local hurricane risk. Non-expert understanding of trajectory predictions was supported via two visualizations: common cones of uncertainty and novel dynamic ensembles. General patterns of performance were similar across the two groups. Participants from the high hurricane risk area did show narrower decision thresholds, in both common and novel visualization formats. More variability was consistently considered possible when viewing the dynamic ensemble displays. Despite greater likelihood of experiences with variability of trajectories outside of forecast paths, greater familiarity tended towards narrower interpretations of the need for evacuations within the variability possible. The results suggest an advantage of dynamic ensembles in grasping uncertainty even in populations familiar with hurricanes.
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Schmidt-Weigand, Florian. "Does Animation Amplify the Modality Effect – or is there any Modality Effect at All?" Zeitschrift für Pädagogische Psychologie 25, no. 4 (September 2011): 245–56. http://dx.doi.org/10.1024/1010-0652/a000048.

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Abstract.This study aimed to examine if the modality effect is amplified by the matter of animation. Visual dynamics are suspected to increase split attention affordances due to a higher salience and transience compared to static visuals. In two experiments students watched an instruction on the formation of lightning while their eye movements were recorded. Both experiments varied text presentation (spoken, written) and visualization format (dynamic, static) in a 2x2 design. Learning outcomes were measured with verbal retention, visual retention, and transfer tests. Experiment 1 (N = 50) revealed a modality effect (i. e. better performance in spoken text groups) for visual retention but not for verbal retention and transfer. Experiment 2 (N = 60) replicated Experiment 1 with a faster presentation pace, expecting faster presentation to enlarge modality effects. In contrast, Experiment 2 revealed no modality effects in learning outcomes. In both experiments participants spent less time viewing visualizations when text was written. Within written text conditions text was read first and gained more visual attention than visualizations. Viewing time did not significantly vary between dynamic and static visualizations. Thus, animation did neither affect viewing behavior nor learning outcome. Moreover, the lack of effects in a standard manipulation of text modality cast doubts on the reliability of modality effects and, hence, on the validity of a general modality principle.
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Ezell, Evan, Seung-Hwan Lim, David Anderson, and Robert Stewart. "Community Fabric: Visualizing communities and structure in dynamic networks." Information Visualization 21, no. 2 (October 29, 2021): 130–42. http://dx.doi.org/10.1177/14738716211056036.

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We present Community Fabric, a novel visualization technique for simultaneously visualizing communities and structure within dynamic networks. In dynamic networks, the structure of the network is continuously evolving throughout time and these underlying topological shifts tend to lead to communal changes. Community Fabric helps the viewer more easily interpret and understand the interplay of structural change and community evolution in dynamic graphs. To achieve this, we take a new approach, hybridizing two popular network and community visualizations. Community Fabric combines the likes of the Biofabric static network visualization method with traditional community alluvial flow diagrams to visualize communities in a dynamic network while also displaying the underlying network structure. Our approach improves upon existing state-of-the-art techniques in several key areas. We describe the methodologies of Community Fabric, implement the visualization using modern web-based tools, and apply our approach to three example data sets.
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Yang, Hui-Yu. "Effects of Dynamic Visualizations Enriched With Visuospatial Cues on Learners' Cognitive Load and Learning Effectiveness." International Journal of Mobile and Blended Learning 14, no. 1 (January 2022): 1–16. http://dx.doi.org/10.4018/ijmbl.297973.

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The present study was to explore whether dynamic visualizations enriched with visuospatial cues can optimize learners’ cognitive processing of mechanical systems. The animated conditions and cueing patterns were the independent variables with an attempt to investigate their impacts on retention and transfer tests. Either dynamic or static visualizations with the presence of visuospatial cues served as the instructional material. 238 English as a foreign language (EFL) learners participated in the experiment. The learners were distributed to six groups—either dynamic or static visualizations enriched with non-cue, entity-cues and arrow-entity cues. Their prior knowledge was initially assessed, and then followed by retention and transfer tests and cognitive load measurements. The experimental results suggested that dynamic visualizations enriched with progressive visuospatial cues was more beneficial in helping learners to develop favorable quality of mental models.
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Dissertations / Theses on the topic "Dynamic visualizations"

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Mote, Kevin Dean. "Fast point-feature label placement for dynamic visualizations." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Thesis/Fall2007/k_mote_111307.pdf.

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Stenlund, Jörgen. "Travelling through time : Students’ interpretation of evolutionary time in dynamic visualizations." Licentiate thesis, Linköpings universitet, Institutionen för teknik och naturvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154619.

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Evolutionary knowledge is important to understand and address contemporary challenges such as loss of biodiversity, climate change and antibiotic resistance. An important aspect that is considered to be a threshold concept in teaching and learning about evolution is the time it involves. The history of evolution comprises several scales of magnitude, some of which are far from direct human experience and therefore difficult to understand. One way of addressing this issue is to use dynamic visualizations that represent time, for example, to facilitate teaching and learning about evolution. This thesis investigates how students’ comprehension of evolution and evolutionary time can be facilitated by visualizations in educational settings. Two different dynamic visualizations were investigated. In paper I different temporal versions of a spatio-temporal animation depicting hominin evolution were explored. The temporal information was expressed as one or several timelines along which an animated cursor moved, indicating the rate of time. Two variables, the number of timelines with different scales, and the mode of the default animated time rate (either constant throughout the animation or decreasing as the animation progressed), were combined to give four different time representations. The temporal aspects investigated were undergraduate students' ability to find events at specific times, comprehend order, comprehend concurrent events, comprehend the length of time intervals, and their ability to compare the lengths of time intervals. In paper II, perceptions and comprehension of temporal aspects in an interactive, multi-touch tabletop application, DeepTree, were investigated. This application depicts the tree of life. The focus was on the interactive aspects, especially how the zooming feature was perceived, but also on any misinterpretations associated with the interaction. The same temporal aspects listed for paper I were also implicitly investigated. The findings indicate that handling the problem of large differences in scale by altering the rate of time in the visualization can facilitate perception of certain temporal aspects while, at the same time, can hinder a correct comprehension of other temporal aspects. Findings concerning DeepTree indicate that the level of interactions varies among users, and that the zooming feature is perceived in two ways, either as a movement in time or as a movement in the metaphorical tree. Several misinterpretations were observed, for example the assumption that the zooming time in the tree corresponds to real time, that there is an implicit coherent timeline along the y-axis of the tree, and that more nodes along a branch corresponds to a longer time. The research reported in this thesis supports the claim that careful choice, and informed use of visualizations matters, and that different visualizations are best suited for different educational purposes
För att kunna förstå och ta ställning till utmaningar i form av exempelvis klimatförändringar, förlust av biodiversitet och antibiotikaresistens krävs kunskap om evolution. För att förstå evolution är det i sin tur viktigt att inse betydelsen av de tidsskalor som evolutionära processer omfattar. Detta utgör inte sällan ett problem vid undervisning om evolution eftersom det rör sig om tidsskalor som sträcker sig långt bortom vad vi själva kan erfara. Tidsskalor ingår i en grupp av begrepp som kallas tröskelbegrepp. Tröskelbegrepp utmärks av att de är svåra att ta till sig, men när väl förståelse uppnås så innebär det en radikal och permanent förändring av hur ett ämnesinnehåll, exempelvis evolution, betraktas. Av den anledningen är de också ”enkelriktade” i meningen att den nya förståelsen är bestående Ett sätt att bemöta problemen med att förstå tidsskalor av varierande storlekar är att använda dynamiska visualiseringar. Denna avhandling handlar just om hur elevers förståelse av evolution med avseende på tiden kan underlättas genom visualiseringar i undervisning. Avhandlingen baseras på två studier som var och en belyser evolutionär tid på olika sätt beträffande såväl innehåll som form. I den första studien undersöktes hur olika varianter av en tidsrepresentation i form av animerade tidslinjer påverkade 144 studenters förståelse av olika tidsaspekter. Representationen av tid hade två variabler, nämligen antal tidslinjer (en tidslinje respektive 3 tidslinjer med olika skalor) och hastighet för animationen av tidsförloppet (konstant hastighet respektive avtagande hastighet när animationen närmade sig nutid). De två variablerna kombinerades för att ge fyra olika varianter av tidsrepresentation. I studien jämfördes varianterna genom att undersöka studenters förmåga kring olika tidsaspekter; hitta händelser vid specifika tider, uppfatta ordning på händelser, uppfatta samtidiga händelser, uppfatta längden på ett tidsintervall och jämföra längden av två tidsintervall. I den andra studien undersöktes uppfattningar och förståelse av tidsmässiga aspekter hos 10 gymnasieelever med utgångspunkt från det interaktiva multi-touch-bordet ”DeepTree”. Det är en interaktiv visualisering av livets träd, det vill säga de fylogenetiska sambanden mellan organismer på jorden. I denna studie fokuserades de interaktiva aspekterna av visualiseringen, särskilt kring hur zoomfunktionen uppfattades av elever men också vilka missuppfattningar som var kopplade till interaktioner. Även tidsaspekterna från den första studien undersöktes. Resultaten från den första studien visar att det under vissa omständigheter kan vara en fördel att variera det animerade tidsflödet, till exempel genom att hastigheten på tidsflödet i animationen avtar under en speciellt händelserik period som behöver granskas noggrannare. Under andra omständigheter kan det däremot vara olämpligt att variera hastigheten för den animerade tiden eftersom det försvårar bedömningen av storleken på, och jämförelsen av, tidsintervall. Det är alltså viktigt att lärare är medvetna om vilken, eller vilka, tidsaspekter som är centrala i den specifika lärandesituationen. Resultaten från den andra studien visar två olika sätt att uppfatta zoomfunktionen när den används i applikationen DeepTree; antingen som en rörelse i tid eller som en rörelse i det metaforiska trädet. Flera missuppfattningar av interaktionen observerades hos eleverna. Till exempel tolkade en del elever den tid det tog att zooma i trädet som att det motsvarade hur lång tid som förflöt mellan olika evolutionära händelser. Ett antal elever verkade anta att det finns en implicit linjär tidslinje längs y-axeln på trädet, och att ju fler grendelningar som fanns längs en gren desto längre tid motsvarade grenen. Generellt är de flesta tidsaspekter svåra att uppfatta för användare av DeepTree. Evolutionära träd av denna typ är dock främst gjorda för att illustrera släktskapsförhållanden, men de tidsmässiga aspekterna skulle kunna förbättras. Applikationer av den typ som DeepTree utgör har potential att erbjuda goda möjligheter till lärande även beträffande evolutionär tid men hänsyn behöver då tas just till hur tidsaspekter beskrivs.
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Jacobsson, Johan Lars Henrik. "3D-dynamic visualization of complex molecular cell biology processes : 1-year university students' understanding of visualizations of signal transduction." Thesis, Karlstad University, Faculty of Technology and Science, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-3185.

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This study deals with the use of 3D-dynamic visualizations for teaching complex molecular cell biology concepts. The focus is on signal transduction, which is a concept that constitutes an important part of biological systems. 3D-dynamic visualizations (animations) were produced and shown for a total of 24 students attending a course in molecular cell biology at Karlstad University, Sweden. Data were collected by questionnaires and interviews which were structured around the understandability and usefulness of the animations. The results indicate that animations are useful for teaching life science concepts and can serve as a complement to lectures. They are useful for visualizing continuous time-dependent processes like signal transduction chains. Several connections between students' issues of understanding and layout-issues of the animations were established. A number of implications follow from the study. Basic understanding of animations is fundamental for understanding of advanced concepts, which should be kept in mind in the design phase of production. The level of realism of different factors in animations, like molecule speed and distances, has to be set to strike a balance between conceptual understanding and scientific correctness. Visualization of 3D-structure of molecules provides an understanding of molecule and systemic function. The study reinforces the need to use visualizations in life science teaching.

 


Denna studie behandlar användningen av 3D-dynamiska visualiseringar för att lära ut komplexa koncept i molekylär cellbiologi. Fokus är på signalöverföring, vilket är ett koncept som är en viktig del av biologiska system. 3D-dynamiska visualiseringar producerades och visades för totalt 24 studenter närvarande på en kurs i molekylär cellbiologu vid Karlstad Universitet, Sverige. Data samlades genom frågeformulär och intervjuer strukturerade runt förståelse och användning av animeringarna. Resultaten indikerar att animeringar är användbara för att lära ut koncept inom livsvetenskap och kan vara ett komplement till lektioner. De är användbara för att visualisera kontinuerliga tidsberoende processer som signalöverföringskedjor. Flera kopplingar mellan frågeställningar för studenternas förståelse och layout-frågeställningar för animeringarna fastställdes. Studien medför ett antal följder. Grundläggande förståelse av animeringar är fundamentalt för förståelse av avancerade koncept, vilket ska betänkas vid designfasen av produktion. Nivån av realism av olika faktorer i animeringarna, som molekylhastighet och avstånd, måste sättas för få balans mellan konceptuell förståelse och vetenskaplig riktighet. Visualisering av molekylers 3D-struktur ger förståelse av molekyl och systemisk funktion. Studien stärker behovet av att använda visualisering i undervisning av livsvetenskap.


Chemistry education, kemididaktik
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Kodali, Lata. "Extensions of Weighted Multidimensional Scaling with Statistics for Data Visualization and Process Monitoring." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/99911.

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This dissertation is the compilation of two major innovations that rely on a common technique known as multidimensional scaling (MDS). MDS is a dimension-reduction method that takes high-dimensional data and creates low-dimensional versions. Project 1: Visualizations are useful when learning from high-dimensional data. However, visualizations, just as any data summary, can be misleading when they do not incorporate measures of uncertainty; e.g., uncertainty from the data or the dimension reduction algorithm used to create the visual display. We incorporate uncertainty into visualizations created by a weighted version of MDS called WMDS. Uncertainty exists in these visualizations on the variable weights, the coordinates of the display, and the fit of WMDS. We quantify these uncertainties using Bayesian models in a method we call Informative Probabilistic WMDS (IP-WMDS). Visually, we display estimated uncertainty in the form of color and ellipses, and practically, these uncertainties reflect trust in WMDS. Our results show that these displays of uncertainty highlight different aspects of the visualization, which can help inform analysts. Project 2: Analysis of network data has emerged as an active research area in statistics. Much of the focus of ongoing research has been on static networks that represent a single snapshot or aggregated historical data unchanging over time. However, most networks result from temporally-evolving systems that exhibit intrinsic dynamic behavior. Monitoring such temporally-varying networks to detect anomalous changes has applications in both social and physical sciences. In this work, we simulate data from models that rely on MDS, and we perform an evaluation study of the use of summary statistics for anomaly detection by incorporating principles from statistical process monitoring. In contrast to most previous studies, we deliberately incorporate temporal auto-correlation in our study. Other considerations in our comprehensive assessment include types and duration of anomaly, model type, and sparsity in temporally-evolving networks. We conclude that the use of summary statistics can be valuable tools for network monitoring and often perform better than more involved techniques.
Doctor of Philosophy
In this work, two main ideas in data visualization and anomaly detection in dynamic networks are further explored. For both ideas, a connecting theme is extensions of a method called Multidimensional Scaling (MDS). MDS is a dimension-reduction method that takes high-dimensional data (all $p$ dimensions) and creates a low-dimensional projection of the data. That is, relationships in a dataset with presumably a large number of dimensions or variables can be summarized into a lower number of, e.g., two, dimensions. For a given data, an analyst could use a scatterplot to observe the relationship between 2 variables initially. Then, by coloring points, changing the size of the points, or using different shapes for the points, perhaps another 3 to 4 more variables (in total around 7 variables) may be shown in the scatterplot. An advantage of MDS (or any dimension-reduction technique) is that relationships among the data can be viewed easily in a scatterplot regardless of the number of variables in the data. The interpretation of any MDS plot is that observations that are close together are relatively more similar than observations that are farther apart, i.e., proximity in the scatterplot indicates relative similarity. In the first project, we use a weighted version of MDS called Weighted Multidimensional Scaling (WMDS) where weights, which indicate a sense of importance, are placed on the variables of the data. The problem with any WMDS plot is that inaccuracies of the method are not included in the plot. For example, is an observation that appears to be an outlier, really an outlier? An analyst cannot confirm this without further context. Thus, we created a model to calculate, visualize, and interpret such inaccuracy or uncertainty in WMDS plots. Such modeling efforts help analysts facilitate exploratory data analysis. In the second project, the theme of MDS is extended to an application with dynamic networks. Dynamic networks are multiple snapshots of pairwise interactions (represented as edges) among a set of nodes (observations). Over time, changes may appear in some of the snapshots. We aim to detect such changes using a process monitoring approach on dynamic networks. Statistical monitoring approaches determine thresholds for in-control or expected behavior that are calculated from data with no signal. Then, the in-control thresholds are used to monitor newly collected data. We applied this approach on dynamic network data, and we utilized a detailed simulation study to better understand the performance of such monitoring. For the simulation study, data are generated from dynamic network models that use MDS. We found that monitoring summary statistics of the network were quite effective on data generated from these models. Thus, simple tools may be used as a first step to anomaly detection in dynamic networks.
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Omirou, Themis. "Levitataed interfaces - with sound : exploring the use of acoustic levitation for the creation of dynamic and physical visualizations." Thesis, University of Bristol, 2017. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.738242.

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Kühl, Tim [Verfasser], and Katharina [Akademischer Betreuer] Scheiter. "Optimizing Learning with Dynamic and Static Visualizations to Foster Understanding in the Natural Sciences / Tim Kühl ; Betreuer: Katharina Scheiter." Tübingen : Universitätsbibliothek Tübingen, 2011. http://d-nb.info/1162698977/34.

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Li, Zhaoyi, and n/a. "Analysis and Design of Virtual Reality Visualization for a Micro Electro Mechanical Systems (MEMS) CAD Tool." Griffith University. School of Information and Communication Technology, 2005. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20060731.121340.

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Since the proliferation of CAD tools, visualizations have gained importance.. They provide invaluable visual feedback at the time of design, regardless whether it is fbi civil engineering or electronic circuit design-layout. Typically dynamic visualizations are produced in a two phase process: the calculation of positions and rendering of the image and its presentation as an animated video clip. This is a slow process that is unsuitable fbr interactive CAD visualizations, because the former two require finite element analysis Faster hardware eases the problem, but does not overcome it, because the algorithms are still too slow. Our MEMS CAD project works towards methods and techniques that are suitable for interactive design, with faster methods. The purpose of this PhD thesis is to contribute to the design of an interactive virtual prototyping of Micro Electro Mechanical Systems (MEMS) This research comprises the analysis of the visualization techniques that are appropriate for these tasks and identifying the difficulties that need to be overcome to be able to offer a MEMS design engineer a meaningful and interactive CAD design environment Such a VR-CAD system is being built in our research group with many participants in the team. Two particular problems are being addressed by presenting algorithms for truthful VR visualization methods: one is for displaying objects that are different in size on the computer screen. The other is modelling unsynchronized motion dynamics, that is different objects moving simultaneously at very high and vety low speed, by proposing stroboscopic simulation to present their dynamics on the screen They require specific size scaling and time scaling and filtering. It is these issues and challenges which make the design of a MEMS CAD tool different from other CAD tools. In the thesis I present algorithms for displaying animated virtual reality for MEMS virtual prototyping in a physically truthful way by using the simulated stroboscopic illumination to filter animated images to make it possible to show unsynchronized motion.. A scaling method was used to show or hide objects which cannot be shown simultaneously on the computer screen because of their large difference in size. The visualization of objects being designed and their animations is done with much consideration of visual perception and computer capability, which is rising attention, but not too often mentioned in the visualization domain.
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Li, Zhaoyi. "Analysis and Design of Virtual Reality Visualization for a Micro Electro Mechanical Systems (MEMS) CAD Tool." Thesis, Griffith University, 2005. http://hdl.handle.net/10072/366361.

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Since the proliferation of CAD tools, visualizations have gained importance.. They provide invaluable visual feedback at the time of design, regardless whether it is fbi civil engineering or electronic circuit design-layout. Typically dynamic visualizations are produced in a two phase process: the calculation of positions and rendering of the image and its presentation as an animated video clip. This is a slow process that is unsuitable fbr interactive CAD visualizations, because the former two require finite element analysis Faster hardware eases the problem, but does not overcome it, because the algorithms are still too slow. Our MEMS CAD project works towards methods and techniques that are suitable for interactive design, with faster methods. The purpose of this PhD thesis is to contribute to the design of an interactive virtual prototyping of Micro Electro Mechanical Systems (MEMS) This research comprises the analysis of the visualization techniques that are appropriate for these tasks and identifying the difficulties that need to be overcome to be able to offer a MEMS design engineer a meaningful and interactive CAD design environment Such a VR-CAD system is being built in our research group with many participants in the team. Two particular problems are being addressed by presenting algorithms for truthful VR visualization methods: one is for displaying objects that are different in size on the computer screen. The other is modelling unsynchronized motion dynamics, that is different objects moving simultaneously at very high and vety low speed, by proposing stroboscopic simulation to present their dynamics on the screen They require specific size scaling and time scaling and filtering. It is these issues and challenges which make the design of a MEMS CAD tool different from other CAD tools. In the thesis I present algorithms for displaying animated virtual reality for MEMS virtual prototyping in a physically truthful way by using the simulated stroboscopic illumination to filter animated images to make it possible to show unsynchronized motion.. A scaling method was used to show or hide objects which cannot be shown simultaneously on the computer screen because of their large difference in size. The visualization of objects being designed and their animations is done with much consideration of visual perception and computer capability, which is rising attention, but not too often mentioned in the visualization domain.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Information and Communication Technology
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Abdelsadek, Youcef. "Triangle packing for community detection : algorithms, visualizations and application to Twitter's network." Thesis, Université de Lorraine, 2016. http://www.theses.fr/2016LORR0310.

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De nos jours, nous générons une quantité immensément grande de données juste en accomplissant nos simples tâches quotidiennes. L'analyse de ces données soulève des challenges ardus. Dans cette thèse, nous nous intéressons à deux aspects des données relationnelles. En premier lieu, nous considérons les données relationnelles dans lesquelles les relations sont pondérées. Un exemple concret serait le nombre commun de suiveurs entre deux utilisateurs de Twitter. Dans un deuxième temps, nous abordons le cas dynamique de ces données qui est inhérent à leur nature. Par exemple, le nombre de suiveurs communs pourrait changer au fil du temps. Dans cette thèse nous utilisons les graphes pour modéliser ces données qui sont à la fois complexes et évolutives. Les travaux de cette thèse s'articulent aussi autour de la détection de communautés pour les graphes pondérés et dynamiques. Pour un utilisateur expert, l'identification de ces communautés pourrait l'aider à comprendre la sémantique sous-jacente à la structure du graphe. Notre hypothèse repose sur l'utilisation des triangles comme ossature pour la détection de communautés. Cela nous a amenés à proposer plusieurs algorithmes : Séparation et évaluation, recherche gloutonne, heuristiques et algorithme génétique sont proposés. En se basant sur cet ensemble de triangles, nous proposons un algorithme de détection de communautés, appelé Tribase. L'idée conductrice de cet algorithme est de comparer les poids des communautés, permettant aux communautés dominantes d'acquérir plus de membres. Les résultats de l'étude comparative sur le benchmark LFR montrent que l'algorithme que nous proposons parvient à détecter les communautés dans les graphes dans lesquels une structure de communautés existe. De plus, l'applicabilité de notre algorithme a été testée sur des données réelles du projet ANR Info-RSN. Dans l'optique d'accompagner l'utilisateur expert dans son processus d'acquisition de l'information, une application visuelle et interactive a été implémentée. NLCOMS (Nœud-Lien et COMmunautéS) propose une panoplie de vues synchronisées pour la représentation de l'information. Par ailleurs, nous proposons dans cette thèse un algorithme de détection de communautés pour les graphes pondérés et dynamiques, appelé Dyci. Dyci permet de gérer les différents scénarios de mise à jour possibles de la structure du graphe. L'idée principale de Dyci est de guetter au cours du temps l'affaiblissement d'une communauté (en termes de poids) dans le but de reconsidérer localement sa place dans la structure, évitant ainsi une réindentification globale des communautés. Une étude comparative a été menée montrant que l'algorithme que nous proposons offre un bon compromis entre la solution obtenue et le temps de calcul. Finalement, l'intégration dans NLCOMS des visualisations adéquates pour la variante dynamique a été effectuée
Relational data in our society are on a constant increasing, rising arduous challenges. In this thesis, we consider two aspects of relational data. First, we are interested in relational data with weighted relationship. As a concrete example, relationships among Twitter's users could be weighted with regard to their shared number of followers. The second aspect is related to the dynamism which is inherent to data nature. As an instance, in the previous example the number of common followers between two Twitter's users can change over time. In order to handle these complex and dynamic relational data, we use the modelling strength of graphs. Another facet considered in this thesis deals with community identification on weighted and dynamic graphs. For an analyst, the community detection might be helpful to grasp the semantic behind the graph structure. Our assumption relies on the idea to use a set of disjoint pairwise triangles as a basis to detect the community structure. To select these triangles, several algorithms are proposed (i.e., branch-and-bound, greedy search, heuristics and genetic algorithm). Thereafter, we propose a community detection algorithm, called Tribase. In the latter, the weights of communities are compared allowing dominant communities to gain in size. Tribase is compared with the well-known LFR benchmark. The results show that Tribase identifies efficiently the communities while a community structure exists. Additionally, to asset Tribase on real-world data, we consider social networks data, especially Twitter's data, of the ANR-Info-RSN project. In order to support the analyst in its knowledge acquisition, we elaborate a visual interactive approach. To this end, an interactive application, called NLCOMS is introduced. NLCOMS uses multiple synchronous views for visualizing community structure and the related information. Furthermore, we propose an algorithm for the identification of communities over time, called Dyci. The latter takes advantage from the previously detected communities. Several changes' scenarios are considered like, node/edge addition, node/edge removing and edge weight update. The main idea of the proposed algorithm is to track whether a part of the weighted graph becomes weak over time, in order to merge it with the "dominant" neighbour community. In order to assess the quality of the returned community structure, we conduct a comparison with a genetic algorithm on real-world data of the ARN-Info-RSN project. The conducted comparison shows that Dyci algorithm provides a good trade-off between efficiency and consumed time. Finally, the dynamic changes which occur to the underlying graph structure can be visualized with NLCOMS which combines physical an axial time to fulfil this need
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Ben, Mahfoudh Hatem. "The memorization of tactical soccer scenes : the effect of visuospatial abilities, expertise and instructional design." Thesis, Valenciennes, Université Polytechnique Hauts-de-France, 2022. http://www.theses.fr/2022UPHF0019.

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L'utilisation de visualisations dynamiques telles que les animations, les vidéos et laréalité virtuelle pour l'entrainement et l'amélioration des performances des joueurs dans le domaine sportif et, en particulier dans le football, ne cesse de croitre. Cependant, l'efficacité pédagogique de ces supports enrichis en informations selon les caractéristiques des apprenants n'est pas encore entièrement exploitée. Alors que certaines caractéristiques telles que le niveau d'expertise des athlètes ont été largement étudiées, d'autres caractéristiques telles que les capacités visuospatiales (CVS) ont reçu jusqu'à présent peu d'attention et sont encore négligées. Dans le but d'améliorer la communication et l'apprentissage a l'aide des visualisations dynamiques, cette thèse vise à examiner l'effet des CVS, de l’expertise et du design pédagogique sur la mémorisation des scènes tactiques de football. Les principaux résultats ont révélé que : (i) les sujets (experts et novices) a hautes CVS étaient mieux équipés que les sujets à faibles CVS pour apprendre les plans tactiques a partir des visualisations dynamiques. (ii) les novices bénéficiaient plus de leurs CVS que les experts, confirmant que les CVS deviennent moins importantes lorsque les connaissances préalables des apprenants augmentent. (iii) l'augmentation du niveau de réalisme ou de dynamisme des visualisations dynamiques entravait l'efficacité de l'apprentissage tactique, en particulier pour les sujets a faible CVS. Les résultats incitent les acteurs du sport a considérer les CVS en plus du niveau d'expertise et a sélectionner les designs pédagogiques appropries pour optimiser l'apprentissage à partir des visualisations dynamiques dans les sports d'équipe
The use of dynamic visualizations such as animations, videos and virtual reality for training and improving athletes’ performance in the sport field and, particularly in soccer, keeps growing. However, the instructional effectiveness of these informationenriched supports according to learners' characteristics remains not yet fully exploited. While some characteristics such as athletes’ expertise have been widely studied, other characteristics such as individuals' visuospatial abilities (VSA) have received little attention so far and are still neglected. With the aim to improve communication and learning sessions using dynamic visualizations this thesis aims at examining the effect of VSA, expertise and instruction design on the memorization of dynamic soccer tactics. The main results revealed that: (i) participants (experts and novices) with high-VSA were better-equipped than participants with low-VSA to memorize tactical plans from dynamic visualizations. (ii) novices benefited more from VSA than experts, confirming that VSA become less important when learners' prior knowledge increases. (iii) increasing the level of realism or dynamism of dynamic visualizations hindered tactical learning effectiveness, especially for learners with low-VSA. Results urge sport stakeholders to consider VSA in addition to the level of expertise and to select the appropriate instructional design to optimize learning from dynamic visualizations in team sports
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Books on the topic "Dynamic visualizations"

1

Lowe, Richard, and Rolf Ploetzner, eds. Learning from Dynamic Visualization. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56204-9.

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Bakker, Johan Willem. Dynamic visualization of chemical processes. [Leiden: University of Leiden, 1998.

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Kumagai, Takashi. Visualization of Hydrogen-Bond Dynamics. Tokyo: Springer Japan, 2012. http://dx.doi.org/10.1007/978-4-431-54156-1.

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Nieuwstadt, F. T. M. Flow Visualization and Image Analysis. Dordrecht: Springer Netherlands, 1993.

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Lars, Lading, Wigley Graham, Buchhave Preben, and Summer School on Optical Diagnostics for Flow Processes (1993 : Roskilde, Denmark), eds. Optical diagnostics for flow processes. New York: Plenum Press, 1994.

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Brydges, Bruce E. Flow visualization of dynamic stall on an oscillating airfoil. Monterey, Calif: Naval Postgraduate School, 1989.

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Falk, Martin, Sebastian Grottel, Michael Krone, and Guido Reina. Interactive GPU-based Visualization of Large Dynamic Particle Data. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-031-02604-1.

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A, Evtikhieva O., and Raskovskaya I. L, eds. Laser refractography. New York: Springer Verlag, 2010.

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Norris, Patricia A. I choose life: The dynamics of visualization & biofeedback. Walpole, N.H: Stillpoint Pub., 1987.

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Gowda, B. H. Lakshmana. A Kaleidoscopic view of fluid flow phenomena. New Delhi: Wiley Eastern, 1992.

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Book chapters on the topic "Dynamic visualizations"

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Sanchez, Christopher A., and Jennifer Wiley. "Dynamic Visuospatial Ability and Learning from Dynamic Visualizations." In Learning from Dynamic Visualization, 155–76. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56204-9_7.

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Suits, Jerry P., and Michael J. Sanger. "Dynamic Visualizations in Chemistry Courses." In Pedagogic Roles of Animations and Simulations in Chemistry Courses, 1–13. Washington, DC: American Chemical Society, 2013. http://dx.doi.org/10.1021/bk-2013-1142.ch001.

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Bogacz, Sally, and J. Gregory Trafton. "Understanding Static and Dynamic Visualizations." In Diagrammatic Representation and Inference, 347–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46037-3_35.

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Lowe, Richard K. "Dynamic Visualizations: A Two-Edged Sword?" In Handbook of Human Centric Visualization, 581–604. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7485-2_23.

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de Koning, Björn B., and Halszka Jarodzka. "Attention Guidance Strategies for Supporting Learning from Dynamic Visualizations." In Learning from Dynamic Visualization, 255–78. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56204-9_11.

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Stieff, Mike. "Drawing for Promoting Learning and Engagement with Dynamic Visualizations." In Learning from Dynamic Visualization, 333–56. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56204-9_14.

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Davenport, Jodi L., and Edys S. Quellmalz. "Assessing Science Inquiry and Reasoning Using Dynamic Visualizations and Interactive Simulations." In Learning from Dynamic Visualization, 203–32. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56204-9_9.

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Jenkinson, Jodie. "The Role of Craft-Based Knowledge in the Design of Dynamic Visualizations." In Learning from Dynamic Visualization, 93–117. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56204-9_5.

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McGill, Gaël G. "Designing Instructional Science Visualizations in the Trenches: Where Research Meets Production Reality." In Learning from Dynamic Visualization, 119–50. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56204-9_6.

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Wagner, Inga, and Wolfgang Schnotz. "Learning from Static and Dynamic Visualizations: What Kind of Questions Should We Ask?" In Learning from Dynamic Visualization, 69–91. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56204-9_4.

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Conference papers on the topic "Dynamic visualizations"

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Cross, James, Dean Hendrix, Larry Barowski, and David Umphress. "Dynamic program visualizations." In the 45th ACM technical symposium. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2538862.2538958.

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Budgett, Stephanie, Maxine Pfannkuch, Matt Regan, and Chris Wild. "Dynamic visualizations for inference." In Technology in Statistics Education: Virtualities and Realities. International Association for Statistical Education, 2012. http://dx.doi.org/10.52041/srap.12103.

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Hypothesis testing reasoning is recognized as a difficult area for students. Changing to a new paradigm for learning inference through computer intensive methods rather than mathematical methods is a pathway that may be more successful. To explore ways to improve students’ inferential reasoning at the Year 13 (last year of school) and Stage One university levels, our research group developed new learning trajectories and dynamic visualizations for the randomization method. In this paper we report on the findings from a pilot study including student learning outcomes and on the modifications we intend to make before the main study. We discuss how the randomization method using dynamic visualizations clarifies concepts underpinning inferential reasoning and why the nature of the argument still remains a challenge.
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Tatzgern, Markus, Denis Kalkofen, and Dieter Schmalstieg. "Dynamic compact visualizations for augmented reality." In 2013 IEEE Virtual Reality (VR). IEEE, 2013. http://dx.doi.org/10.1109/vr.2013.6549347.

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Rusu, Adrian, Doru Stoica, Edward Burns, Benjamin Hample, Kevin McGarry, and Robert Russell. "Dynamic Visualizations for Soccer Statistical Analysis." In 2010 14th International Conference Information Visualisation (IV). IEEE, 2010. http://dx.doi.org/10.1109/iv.2010.39.

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"Dynamic 3D Graph Visualizations in Julia." In 2016 Summer Simulation Multi-Conference. Society for Modeling and Simulation International (SCS), 2016. http://dx.doi.org/10.22360/summersim.2016.scsc.026.

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Fisher, Jacob, Remco Chang, and Eugene Wu. "Automatic Y-axis Rescaling in Dynamic Visualizations." In 2021 IEEE Visualization Conference (VIS). IEEE, 2021. http://dx.doi.org/10.1109/vis49827.2021.9623319.

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Cross, James, Dean Hendrix, and David Umphress. "Dynamic program visualizations for Java (abstract only)." In the 45th ACM technical symposium. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2538862.2539028.

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Gousie, Michael B., John Grady, Ben Burrage, Robby Grossman, David Machado, Sarah Milewski, and Christopher Stuetzle. "Using Metaphors in Dynamic Social Stratification Visualizations." In 2008 12th International Conference Information Visualisation (IV). IEEE, 2008. http://dx.doi.org/10.1109/iv.2008.100.

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Fischer, Maximilian T., Alexander Frings, Daniel A. Keim, and Daniel Seebacher. "Towards a Survey on Static and Dynamic Hypergraph Visualizations." In 2021 IEEE Visualization Conference (VIS). IEEE, 2021. http://dx.doi.org/10.1109/vis49827.2021.9623305.

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Wiltshire, Travis J., Dan Hudson, Max Belitsky, Philia Lijdsman, Stijn Wever, and Martin Atzmueller. "Examining Team Interaction using Dynamic Complexity and Network Visualizations." In 2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS). IEEE, 2021. http://dx.doi.org/10.1109/ichms53169.2021.9582454.

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Reports on the topic "Dynamic visualizations"

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Cohen, Paul R., James A. Davis, and John L. Warwick. Dynamic Visualization of Battle Simulations. Fort Belvoir, VA: Defense Technical Information Center, January 2000. http://dx.doi.org/10.21236/ada461163.

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Forney, Glenn P. Visualization , a tool for understanding fire dynamics. Gaithersburg, MD: National Institute of Standards and Technology, 2007. http://dx.doi.org/10.6028/nist.ir.7431.

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Bauer, Andrew, and Berk Geveci. Computational Fluid Dynamics Co-processing for Unsteady Visualization. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada570113.

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Landman, Uzi. Analysis and Visualization of Simulated Dynamics in Complex Materials Systems. Fort Belvoir, VA: Defense Technical Information Center, November 1998. http://dx.doi.org/10.21236/ada359444.

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Duque, Earl, Steve Legensky, Brad Whitlock, David Rogers, Andrew Bauer, Scott Imlay, David Thompson, and Seiji Tsutsumi. Summary of the SciTech 2020 Technical Panel on In Situ/In Transit Computational Environments for Visualization and Data Analysis. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/40887.

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At the AIAA SciTech 2020 conference, the Meshing, Visualization and Computational Environments Technical Committee hosted a special technical panel on In Situ/In Transit Computational Environments for Visualization and Data Analytics. The panel brought together leading experts from industry, software vendors, Department of Energy, Department of Defense and the Japan Aerospace Exploration Agency (JAXA). In situ and in transit methodologies enable Computational Fluid Dynamic (CFD) simulations to avoid the excessive overhead associated with data I/O at large scales especially as simulations scale to millions of processors. These methods either share the data analysis/visualization pipelines with the memory space of the solver or efficiently off load the workload to alternate processors. Using these methods, simulations can scale and have the promise of enabling the community to satisfy the Knowledge Extraction milestones as envisioned by the CFD Vision 2030 study for "on demand analysis/visualization of a 100 Billion point unsteady CFD simulation". This paper summarizes the presentations providing a discussion point of how the community can achieve the goals set forth in the CFD Vision 2030.
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Fedkiw, Ron. Algorithm Design for Computational Fluid Dynamics, Scientific Visualization, and Image Processing. Fort Belvoir, VA: Defense Technical Information Center, January 2007. http://dx.doi.org/10.21236/ada461529.

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Morkun, Vladimir S., Natalia V. Morkun, and Andrey V. Pikilnyak. Augmented reality as a tool for visualization of ultrasound propagation in heterogeneous media based on the k-space method. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3757.

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For programming the AR tools, interactive objects and creating the markers, the method of fiber spaces (k-space) for modeling of ultrasonic wave propagation in an inhomogeneous medium using coarse grids, with maintaining the required accuracy was used. The algorithm and tools of augmented reality were introduced into the adaptive control system of the pulp gas phase in the iron ore flotation process using a control action on the basis of high-energy ultrasound dynamic effects generated by ultrasonic phased arrays. The tools of augmented reality based on k-space methods allow to facilitate wider adoption of ultrasound technology and visualize the ultra-sound propagation in heterogeneous media by providing a specific correspondence between the ultrasound data acquired in real- time and a sufficiently detailed augmented 3D scene. The tools of augmented reality allow seeing the field of ultrasound propagation, its characteristics, as well as the effect of the dynamic effects of ultrasound on the change in the gas phase during the flotation process.
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Berney, Ernest, Naveen Ganesh, Andrew Ward, J. Newman, and John Rushing. Methodology for remote assessment of pavement distresses from point cloud analysis. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40401.

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The ability to remotely assess road and airfield pavement condition is critical to dynamic basing, contingency deployment, convoy entry and sustainment, and post-attack reconnaissance. Current Army processes to evaluate surface condition are time-consuming and require Soldier presence. Recent developments in the area of photogrammetry and light detection and ranging (LiDAR) enable rapid generation of three-dimensional point cloud models of the pavement surface. Point clouds were generated from data collected on a series of asphalt, concrete, and unsurfaced pavements using ground- and aerial-based sensors. ERDC-developed algorithms automatically discretize the pavement surface into cross- and grid-based sections to identify physical surface distresses such as depressions, ruts, and cracks. Depressions can be sized from the point-to-point distances bounding each depression, and surface roughness is determined based on the point heights along a given cross section. Noted distresses are exported to a distress map file containing only the distress points and their locations for later visualization and quality control along with classification and quantification. Further research and automation into point cloud analysis is ongoing with the goal of enabling Soldiers with limited training the capability to rapidly assess pavement surface condition from a remote platform.
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Kuznetsov, Victor, Vladislav Litvinenko, Egor Bykov, and Vadim Lukin. A program for determining the area of the object entering the IR sensor grid, as well as determining the dynamic characteristics. Science and Innovation Center Publishing House, April 2021. http://dx.doi.org/10.12731/bykov.0415.15042021.

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Currently, to evaluate the dynamic characteristics of objects, quite a large number of devices are used in the form of chronographs, which consist of various optical, thermal and laser sensors. Among the problems of these devices, the following can be distinguished: the lack of recording of the received data; the inaccessibility of taking into account the trajectory of the object flying in the sensor area, as well as taking into consideration the trajectory of the object during the approach to the device frame. The signal received from the infrared sensors is recorded in a separate document in txt format, in the form of a table. When you turn to the document, data is read from the current position of the input data stream in the specified list by an argument in accordance with the given condition. As a result of reading the data, it forms an array that includes N number of columns. The array is constructed in a such way that the first column includes time values, and columns 2...N- the value of voltage . The algorithm uses cycles that perform the function of deleting array rows where there is a fact of exceeding the threshold value in more than two columns, as well as rows where the threshold level was not exceeded. The modified array is converted into two new arrays, each of which includes data from different sensor frames. An array with the coordinates of the centers of the sensor operation zones was created to apply the Pythagorean theorem in three-dimensional space, which is necessary for calculating the exact distance between the zones. The time is determined by the difference in the response of the first and second sensor frames. Knowing the path and time, we are able to calculate the exact speed of the object. For visualization, the oscillograms of each sensor channel were displayed, and a chronograph model was created. The chronograph model highlights in purple the area where the threshold has been exceeded.
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Midak, Liliia Ya, Ivan V. Kravets, Olga V. Kuzyshyn, Tetiana V. Kostiuk, Khrystyna V. Buzhdyhan, Victor M. Lutsyshyn, Ivanna O. Hladkoskok, Arnold E. Kiv, and Mariya P. Shyshkina. Augmented reality while studying radiochemistry for the upcoming chemistry teachers. [б. в.], July 2021. http://dx.doi.org/10.31812/123456789/4627.

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The objective of the research is developing a mobile application (on Android) designed to visualize the basic definitions of the discipline “Radiochemistry and radioecology” in 3D. Studying the education material of this discipline (phenomena of radionuclide, radioisotope, the nucleus, the fundamental particle etc and their specifics) requires a more sophisticated explanation from the teacher and dynamic dimensional image from the student. Decent detailed visualization of the study material makes this process easier. So applying the augmented reality is rational for the purpose of visualizing the study material, applying it allows demonstrate 3D-models of the nucleus, the fundamental particles, the nature of radioactive decay, nuclear fission, the specifics of managing the nuclear weapon and the NPS. Involving this instrument of the up-to-date information and communication technologies while studying the new material gives the opportunity to develop and boost the spatial imagination of the students, “to see” the invisible and to understand the received material in a better way, which improves its better memorizing. As far as the augmented reality is one of the most recent new-age education trends, all the teachers are required to have the ability to use it. In this reason the upcoming teachers, the students of the “General Education (Chemistry)” specialty, must be trained with this technology. Within the study process the students have the opportunity to review the positive moments of applying AR from a student’s stand of point and to understand, how to apply similar education tools in the future pedagogic work.
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