Interactive Feature Detection in Volumetric Data
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The Efficacy of Concept Mapping As a Learning Tool in Life-Span Development Classes
Perspectives In Learning Volume 17 | Number 1 Article 5 9-27-2018 The fficE acy of Concept Mapping as a Learning Tool in Life-Span Development Classes Joseph A. Mayo Gordon State College, [email protected] Follow this and additional works at: https://csuepress.columbusstate.edu/pil Part of the Psychology Commons Recommended Citation Mayo, J. A. (2018). The Efficacy of Concept Mapping as a Learning Tool in Life-Span Development Classes. Perspectives In Learning, 17 (1). Retrieved from https://csuepress.columbusstate.edu/pil/vol17/iss1/5 This Research is brought to you for free and open access by the Journals at CSU ePress. It has been accepted for inclusion in Perspectives In Learning by an authorized editor of CSU ePress. MAYO The Efficacy of Concept Mapping as a Learning Tool in Life-Span Development Classes Joseph A. Mayo Gordon State College Abstract The effectiveness of concept mapping on learning has been reported in research across a number of undergraduate disciplines. The purpose of the present investigation was to add to the existing literature on concept mapping in the teaching of psychology through systematic comparisons of learning in undergraduate life-span development classes. In one group, students completed concept-mapping assignments. In another group, they completed written assignments with features of relationship-identification shared with concept mapping. The combined results of quantitative and qualitative comparisons favored concept mapping over the more traditional learning assignments. Implications for future classroom research are discussed. Over a 12-year span beginning in the most abstract to increasingly more specific; late 1970s, Joseph D. Novak led a group of and cross-links are connections between researchers at Cornell University who initially discrete concepts in distant parts of pioneered concept mapping as a graphic the map that illustrate recognition of broad organizational and meta-learning strategy linkages within a topic (Mayo, 2010; Novak that assists in knowledge configuration (see & Cañas, 2008). -
Realistic Modeling and Rendering of Plant Ecosystems
Realistic modeling and rendering of plant ecosystems Oliver Deussen1 Pat Hanrahan2 Bernd Lintermann3 RadomÂõr MechÏ 4 Matt Pharr2 Przemyslaw Prusinkiewicz4 1 Otto-von-Guericke University of Magdeburg 2 Stanford University 3 The ZKM Center for Art and Media Karlsruhe 4 The University of Calgary Abstract grasslands, human-made environments, for instance parks and gar- dens, and intermediate environments, such as lands recolonized by Modeling and rendering of natural scenes with thousands of plants vegetation after forest ®res or logging. Models of these ecosystems poses a number of problems. The terrain must be modeled and plants have a wide range of existing and potential applications, including must be distributed throughout it in a realistic manner, re¯ecting the computer-assisted landscape and garden design, prediction and vi- interactions of plants with each other and with their environment. sualization of the effects of logging on the landscape, visualization Geometric models of individual plants, consistent with their po- of models of ecosystems for research and educational purposes, sitions within the ecosystem, must be synthesized to populate the and synthesis of scenes for computer animations, drive and ¯ight scene. The scene, which may consist of billions of primitives, must simulators, games, and computer art. be rendered ef®ciently while incorporating the subtleties of lighting Beautiful images of forests and meadows were created as early in a natural environment. as 1985 by Reeves and Blau [50] and featured in the computer We have developed a system built around a pipeline of tools that animation The Adventures of Andre and Wally B. [34]. Reeves and address these tasks. -
The Table Lens: Merging Graphical and Symbolic Representations in an Interactive Focus+ Context Visualization for Tabular Information
HumanFac(orsinComputingSystems CHI’94 0 “Celebra/i//ghrferdepende)~cc” The Table Lens: Merging Graphical and Symbolic Representations in an Interactive Focus+ Context Visualization for Tabular Information Ramana Rao and Stuart K. Card Xerox Palo Alto Research Center 3333 Coyote Hill Road Palo Alto, CA 94304 Gao,carcM@parc. xerox.com ABSTRACT (at cell size of 100 by 15 pixels, 82dpi). The Table Lens can We present a new visualization, called the Table Lens, for comfortably manage about 30 times as many cells and can visualizing and making sense of large tables. The visual- display up to 100 times as many cells in support of many ization uses a focus+ccmtext (fisheye) technique that works tasks. The scale advantage is obtained by using a so-called effectively on tabular information because it allows display “focus+context” or “fisheye” technique. These techniques of crucial label information and multiple distal focal areas. allow interaction with large information structures by dynam- In addition, a graphical mapping scheme for depicting table ically distorting the spatial layout of the structure according to contents has been developed for the most widespread kind the varying interest levels of its parts. The design of the Table of tables, the cases-by-variables table. The Table Lens fuses Lens technique has been guided by the particular properties symbolic and gaphical representations into a single coherent and uses of tables. view that can be fluidly adjusted by the user. This fusion and A second contribution of our work is the merging of graphical interactivity enables an extremely rich and natural style of representations directly into the process of table visualization direct manipulation exploratory data analysis. -
The Chem Access Project from Bitmap Graphics to Fully Accessible Chemical Diagrams
The Chem Access project From Bitmap Graphics to Fully Accessible Chemical Diagrams Volker Sorge Scientific Document Analysis Group Progressive Accessibility Solutions School of Computer Science Birmingham, UK University of Birmingham progressiveaccess.com 9th European e-Accessibility Forum, 2015, Paris, 8 June 2015 Motivation I Accessibility to STEM material is important issue for inclusive education I Diagrams are an important teaching means in STEM I Chemical diagrams (depictions of molecules) are ubiquitous in teaching from GCSE and A-levels teaching to undergrad curriculum chemistry, biosciences, life sciences. I Previous work on assistive technology for chemical diagrams I Require diagrams to be drawn in particular way or authoring environment I Need for specialist software to access and interact with diagrams I Additional hurdles for both authors and readers Goals I Make regular teaching material accessible I From inaccessible image to support for independent learning I Source independence I Do not rely on the benevolent, educated author I Platform independence I Use standard web technology (HTML5) I Accessible with all browsers, screen readers I Provide a seamless user experience without/very little interface I Support diverse material, for novices and experts alike Examples I Different representations of Aspirin molecule. Displayed formula. Skeletal formula. Structural formula. Examples I Or somewhat more complex. Procedure Input: A bitmap image of a molecule diagram 1. Image analysis and recognition 2. Generation of annotated SVG -
Army Acquisition Workforce Dependency on E-Mail for Formal
ARMY ACQUISITION WORKFORCE DEPENDENCY ON E-MAIL FOR FORMAL WORK COORDINATION: FINDINGS AND OPPORTUNITIES FOR WORKFORCE PERFORMANCE IMPROVEMENT THROUGH E-MAIL-BASED SOCIAL NETWORK ANALYSIS KENNETH A. LORENTZEN May 2013 PUBLISHED BY THE DEFENSE ACQUISITION UNIVERSITY PRESS PROJECT ADVISOR: BOB SKERTIC CAPITAL AND NORTHEAST REGION, DAU THE SENIOR SERVICE COLLEGE FELLOWSHIP PROGRAM ABERDEEN PROVING GROUND, MD PAGE LEFT BLANK INTENTIONALLY .ARMY ACQUISITION WORKFORCE DEPENDENCY ON E-MAIL FOR FORMAL WORK COORDINATION: FINDINGS AND OPPORTUNITIES FOR WORKFORCE PERFORMANCE IMPROVEMENT THROUGH E-MAIL-BASED SOCIAL NETWORK ANALYSIS KENNETH A. LORENTZEN May 2013 PUBLISHED BY THE DEFENSE ACQUISITION UNIVERSITY PRESS PROJECT ADVISOR: BOB SKERTIC CAPITAL AND NORTHEAST REGION, DAU THE SENIOR SERVICE COLLEGE FELLOWSHIP PROGRAM ABERDEEN PROVING GROUND, MD PAGE LEFT BLANK INTENTIONALLY ii Table of Contents Table of Contents ............................................................................................................................ ii List of Figures ................................................................................................................................ vi Abstract ......................................................................................................................................... vii Chapter 1—Introduction ................................................................................................................. 1 Background and Motivation ................................................................................................. -
Geotime As an Adjunct Analysis Tool for Social Media Threat Analysis and Investigations for the Boston Police Department Offeror: Uncharted Software Inc
GeoTime as an Adjunct Analysis Tool for Social Media Threat Analysis and Investigations for the Boston Police Department Offeror: Uncharted Software Inc. 2 Berkeley St, Suite 600 Toronto ON M5A 4J5 Canada Business Type: Canadian Small Business Jurisdiction: Federally incorporated in Canada Date of Incorporation: October 8, 2001 Federal Tax Identification Number: 98-0691013 ATTN: Jenny Prosser, Contract Manager, [email protected] Subject: Acquiring Technology and Services of Social Media Threats for the Boston Police Department Uncharted Software Inc. (formerly Oculus Info Inc.) respectfully submits the following response to the Technology and Services of Social Media Threats RFP. Uncharted accepts all conditions and requirements contained in the RFP. Uncharted designs, develops and deploys innovative visual analytics systems and products for analysis and decision-making in complex information environments. Please direct any questions about this response to our point of contact for this response, Adeel Khamisa at 416-203-3003 x250 or [email protected]. Sincerely, Adeel Khamisa Law Enforcement Industry Manager, GeoTime® Uncharted Software Inc. [email protected] 416-203-3003 x250 416-708-6677 Company Proprietary Notice: This proposal includes data that shall not be disclosed outside the Government and shall not be duplicated, used, or disclosed – in whole or in part – for any purpose other than to evaluate this proposal. If, however, a contract is awarded to this offeror as a result of – or in connection with – the submission of this data, the Government shall have the right to duplicate, use, or disclose the data to the extent provided in the resulting contract. GeoTime as an Adjunct Analysis Tool for Social Media Threat Analysis and Investigations 1. -
Vendorgraphs | DATA VISUALIZATION Samuel J Park | Liberty University | Thesis Thank You
VENDORGraphs | DATA VISUALIZATION Samuel J Park | Liberty University | Thesis Thank you. Thank you to my professors and professional advisors that helped me in my design journey. I would especially like to thank my wife, Tina, and kids, for helping me complete this degree. I can’t thank you enough for your support and encouragement to help me get through this challeng- ing process. It’s been a crazy few years, but I will continue to strive in my educational and professional career to provide a better life for us. A thesis submitted to Liberty University for VENDORGraphs Master of Fine Arts in Studio and Digital Arts. DATA VISUALIZATION Samuel J Park | Liberty University | Thesis Monique Maloney Marvin Eans Monica Bruenjes Todd Smith VENDORGraphs | PART I Research CONTENTS INTRODUCTION OF RESEARCH 9 RESEARCH PROBLEM 11 RESEARCH STATEMENT 12 LITERATURE REVIEW 16 KNOWLEDGE GAP 27 RESEARCH METHODS 28 STAKEHOLDERS 36 RESEARCH IMPLICATIONS 41 CONCLUSION 42 https://www.storyblocks.com/stock-image/frustrated-young-busi- ness-man-r7vzg2dqowj6gtwvgr “I’ve got data, but I have no idea what it means or how to read it.” Greg Thompson, Dealership Owner TITLE & DESCRIPTION Creating a data visualization solution for automotive dealers to enhance sales performance. As many auto dealers use over 20 vendors per store, it is very difficult to keep track of vendor performance. Therefore, auto dealers need a tool that explains vendor performance through visual charts and graphs. VendorGraphs will meet this need. Currently, auto dealerships use Customer Relationship Management (CRM) tools to keep track of their marketing efforts. However, there is an over- whelming amount of data that managers have to filter through to understand what is going on. -
Visualization in Multiobjective Optimization
Final version Visualization in Multiobjective Optimization Bogdan Filipič Tea Tušar Tutorial slides are available at CEC Tutorial, Donostia - San Sebastián, June 5, 2017 http://dis.ijs.si/tea/research.htm Computational Intelligence Group Department of Intelligent Systems Jožef Stefan Institute Ljubljana, Slovenia 2 Contents Introduction A taxonomy of visualization methods Visualizing single approximation sets Introduction Visualizing repeated approximation sets Summary References 3 Introduction Introduction Multiobjective optimization problem Visualization in multiobjective optimization Minimize Useful for different purposes [14] f: X ! F • Analysis of solutions and solution sets f:(x ;:::; x ) 7! (f (x ;:::; x );:::; f (x ;:::; x )) 1 n 1 1 n m 1 n • Decision support in interactive optimization • Analysis of algorithm performance • X is an n-dimensional decision space ⊆ Rm ≥ • F is an m-dimensional objective space (m 2) Visualizing solution sets in the decision space • Problem-specific ! Conflicting objectives a set of optimal solutions • If X ⊆ Rm, any method for visualizing multidimensional • Pareto set in the decision space solutions can be used • Pareto front in the objective space • Not the focus of this tutorial 4 5 Introduction Introduction Visualization can be hard even in 2-D Stochastic optimization algorithms Visualizing solution sets in the objective space • Single run ! single approximation set • Interested in sets of mutually nondominated solutions called ! approximation sets • Multiple runs multiple approximation sets • Different -
Inviwo — a Visualization System with Usage Abstraction Levels
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, VOL X, NO. Y, MAY 2019 1 Inviwo — A Visualization System with Usage Abstraction Levels Daniel Jonsson,¨ Peter Steneteg, Erik Sunden,´ Rickard Englund, Sathish Kottravel, Martin Falk, Member, IEEE, Anders Ynnerman, Ingrid Hotz, and Timo Ropinski Member, IEEE, Abstract—The complexity of today’s visualization applications demands specific visualization systems tailored for the development of these applications. Frequently, such systems utilize levels of abstraction to improve the application development process, for instance by providing a data flow network editor. Unfortunately, these abstractions result in several issues, which need to be circumvented through an abstraction-centered system design. Often, a high level of abstraction hides low level details, which makes it difficult to directly access the underlying computing platform, which would be important to achieve an optimal performance. Therefore, we propose a layer structure developed for modern and sustainable visualization systems allowing developers to interact with all contained abstraction levels. We refer to this interaction capabilities as usage abstraction levels, since we target application developers with various levels of experience. We formulate the requirements for such a system, derive the desired architecture, and present how the concepts have been exemplary realized within the Inviwo visualization system. Furthermore, we address several specific challenges that arise during the realization of such a layered architecture, such as communication between different computing platforms, performance centered encapsulation, as well as layer-independent development by supporting cross layer documentation and debugging capabilities. Index Terms—Visualization systems, data visualization, visual analytics, data analysis, computer graphics, image processing. F 1 INTRODUCTION The field of visualization is maturing, and a shift can be employing different layers of abstraction. -
A Process for Digitizing and Simulating Biologically Realistic Oligocellular Networks Demonstrated for the Neuro-Glio-Vascular Ensemble Edited By: Yu-Guo Yu, Jay S
fnins-12-00664 September 27, 2018 Time: 15:25 # 1 METHODS published: 25 September 2018 doi: 10.3389/fnins.2018.00664 A Process for Digitizing and Simulating Biologically Realistic Oligocellular Networks Demonstrated for the Neuro-Glio-Vascular Ensemble Edited by: Yu-Guo Yu, Jay S. Coggan1 †, Corrado Calì2 †, Daniel Keller1, Marco Agus3,4, Daniya Boges2, Fudan University, China * * Marwan Abdellah1, Kalpana Kare2, Heikki Lehväslaiho2,5, Stefan Eilemann1, Reviewed by: Renaud Blaise Jolivet6,7, Markus Hadwiger3, Henry Markram1, Felix Schürmann1 and Clare Howarth, Pierre J. Magistretti2 University of Sheffield, United Kingdom 1 Blue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland, 2 Biological and Environmental Ying Wu, Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, 3 Visual Xi’an Jiaotong University, China Computing Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, 4 CRS4, Center of Research *Correspondence: and Advanced Studies in Sardinia, Visual Computing, Pula, Italy, 5 CSC – IT Center for Science, Espoo, Finland, Jay S. Coggan 6 Département de Physique Nucléaire et Corpusculaire, University of Geneva, Geneva, Switzerland, 7 The European jay.coggan@epfl.ch; Organization for Nuclear Research, Geneva, Switzerland [email protected] Corrado Calì [email protected]; One will not understand the brain without an integrated exploration of structure and [email protected] function, these attributes being two sides of the same coin: together they form the †These authors share first authorship currency of biological computation. Accordingly, biologically realistic models require the re-creation of the architecture of the cellular components in which biochemical reactions Specialty section: This article was submitted to are contained. -
11.2 Alkanes
11.2 Alkanes A large number of carbon compounds are possible because the covalent bond between carbon atoms, such as those in hexane, C6H14, are very strong. Learning Goal Write the IUPAC names and draw the condensed structural formulas and skeletal formulas for alkanes and cycloalkanes. Chemistry: An Introduction to General, Organic, and Biological Chemistry, Twelfth Edition © 2015 Pearson Education, Inc. Naming Alkanes Alkanes • are hydrocarbons that contain only C—C and C—H bonds • are formed by a continuous chain of carbon atoms • are named using the IUPAC (International Union of Pure and Applied Chemistry) system • have names that end in ane • use Greek prefixes to name carbon chains with five or more carbon atoms Chemistry: An Introduction to General, Organic, and Biological Chemistry, Twelfth Edition © 2015 Pearson Education, Inc. IUPAC Naming of First Ten Alkanes Chemistry: An Introduction to General, Organic, and Biological Chemistry, Twelfth Edition © 2015 Pearson Education, Inc. 1 Condensed Structural Formulas In a condensed structural formula, • each carbon atom and its attached hydrogen atoms are written as a group • a subscript indicates the number of hydrogen atoms bonded to each carbon atom The condensed structural formula of butane has four carbon atoms. CH3—CH2—CH2—CH3 butane Core Chemistry Skill Naming and Drawing Alkanes Chemistry: An Introduction to General, Organic, and Biological Chemistry, Twelfth Edition © 2015 Pearson Education, Inc. Condensed Structural Formulas Alkanes are written with structural formulas that are • expanded to show each bond • condensed to show each carbon atom and its attached hydrogen atoms Expanded Condensed Expanded Condensed Chemistry: An Introduction to General, Organic, and Biological Chemistry, Twelfth Edition © 2015 Pearson Education, Inc. -
Image Processing on Optimal Volume Sampling Lattices
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1314 Image processing on optimal volume sampling lattices Thinking outside the box ELISABETH SCHOLD LINNÉR ACTA UNIVERSITATIS UPSALIENSIS ISSN 1651-6214 ISBN 978-91-554-9406-3 UPPSALA urn:nbn:se:uu:diva-265340 2015 Dissertation presented at Uppsala University to be publicly examined in Pol2447, Informationsteknologiskt centrum (ITC), Lägerhyddsvägen 2, hus 2, Uppsala, Friday, 18 December 2015 at 10:00 for the degree of Doctor of Philosophy. The examination will be conducted in English. Faculty examiner: Professor Alexandre Falcão (Institute of Computing, University of Campinas, Brazil). Abstract Schold Linnér, E. 2015. Image processing on optimal volume sampling lattices. Thinking outside the box. (Bildbehandling på optimala samplingsgitter. Att tänka utanför ramen). Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1314. 98 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-554-9406-3. This thesis summarizes a series of studies of how image quality is affected by the choice of sampling pattern in 3D. Our comparison includes the Cartesian cubic (CC) lattice, the body- centered cubic (BCC) lattice, and the face-centered cubic (FCC) lattice. Our studies of the lattice Brillouin zones of lattices of equal density show that, while the CC lattice is suitable for functions with elongated spectra, the FCC lattice offers the least variation in resolution with respect to direction. The BCC lattice, however, offers the highest global cutoff frequency. The difference in behavior between the BCC and FCC lattices is negligible for a natural spectrum. We also present a study of pre-aliasing errors on anisotropic versions of the CC, BCC, and FCC sampling lattices, revealing that the optimal choice of sampling lattice is highly dependent on lattice orientation and anisotropy.