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Journal articles on the topic 'Interactive data manipulation'
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1
Mathews, Gary Jason, and Syed S. Towheed. "WWW-based data systems for interactive manipulation of science data." Computer Networks and ISDN Systems 28, no. 13 (October 1996): 1857–64. http://dx.doi.org/10.1016/0169-7552(96)00004-9.
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UNWIN, ANTONY R., HEIKE HOFMANN, and ADALBERT F. X. WILHELM. "DIRECT MANIPULATION GRAPHICS FOR DATA MINING." International Journal of Image and Graphics 02, no. 01 (January 2002): 49–65. http://dx.doi.org/10.1142/s0219467802000469.
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Data mining has attracted a lot of attention in recent years, but there has been proportionately little attention paid to the contribution data visualisation could make. Checking data quality, monitoring analyses, interpreting and comparing results are all areas in which modern graphics tools have a role to play. Some existing graphical displays can be scaled up successfully, some new displays will be needed, but all should be directly interactive. This paper outlines the key ideas of direct manipulation graphics for data visualisation and describes the contribution they can make to all stages of the data mining process.
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Boyles, Michael, and Shiaofen Fang. "3Dive: An Immersive Environment for Interactive Volume Data Exploration." International Journal of Virtual Reality 5, no. 1 (January 1, 2001): 38–51. http://dx.doi.org/10.20870/ijvr.2001.5.1.2667.
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This paper describes an immersive system, called 3DIVE, for interactive volume data visualization and exploration inside the CAVE virtual environment. Combining interactive volume rendering and virtual reality provides a natural immersive environment for volumetric data visualization. More advanced data exploration operations, such as object level data manipulation, simulation and analysis, are supported in 3DIVE by several new techniques: volume primitives and texture regions are used for the rendering, manipulation, and collision detection of volumetric objects; the region based rendering pipeline is integrated with 3D image filters to provide an image-based mechanism for interactive transfer function design; a collaborative visualization module allows remote sites to collaborate over common datasets with passive or active view sharing. The system has been recently released as public domain software for CAVE/ImmersaDesk users, and is currently being actively used by a 3D microscopy visualization project.
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Carter, M. D., J. A. Kruppenbach, S. L. Mobley, R. H. Matthews, and E. Lawrence. "Reconditioning marine seismic data for interactive interpretation." Exploration Geophysics 20, no. 2 (1989): 245. http://dx.doi.org/10.1071/eg989245.
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The historical interpretation approach is based upon time and amplitude. Using the modern interpretive workstation, the full range of the seismic attributes can be examined in varying color and spatial distribution. Examples of traditional seismic data displayed using conventional methods are shown before and after workstation manipulation, with striking results. The paper will also address procedures for the economical collection of additional data which will reinforce older available data, as well as planning cost effective acquisition of new data.
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Huang, Yongqiang, and Yu Sun. "A dataset of daily interactive manipulation." International Journal of Robotics Research 38, no. 8 (May 13, 2019): 879–86. http://dx.doi.org/10.1177/0278364919849091.
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Robots that succeed in factories may struggle to complete even the simplest daily task that humans take for granted, because the change of environment makes the task exceedingly difficult. Aiming to teach robots to perform daily interactive manipulation in a changing environment using human demonstrations, we collected our own data of interactive manipulation. The dataset focuses on the position, orientation, force, and torque of objects manipulated in daily tasks. The dataset includes 1,603 trials of 32 types of daily motions and 1,596 trials of pouring alone, as well as helper code. We present our dataset to facilitate the research on task-oriented interactive manipulation.
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Magnus Pinheiro, Tarsus, and Claudio Esperança. "Interactive Visualization of Trivariate Georeferenced Data." Journal of Information and Data Management 9, no. 3 (December 30, 2018): 245. http://dx.doi.org/10.5753/jidm.2018.2043.
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This paper describes an online interactive thematic map for simultaneously visualizing up to three scalar variables and which supports data filtering, panning and zooming in levels of detail. The visual encoding of the map mixes the use of colors and textures as well as simple operations like border detection and intersection identification. The user experience is enhanced by means of queries posed through manipulation tools that produce instant visual feedback. This is possible through the high rendering rates achieved by the system through the use of GPU programming to assemble and manipulate previously rasterized tiles with location information recorded in the color space of pixels. This procedure allows the implementation of interactive animated actions and spatial data decomposition.
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Perles, Brian P., and Judy M. Vance. "Interactive Virtual Tools for Manipulating NURBS Surfaces in a Virtual Environment." Journal of Mechanical Design 124, no. 2 (May 16, 2002): 158–63. http://dx.doi.org/10.1115/1.1464132.
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DN-Edit is a virtual environment developed to allow the manipulation of non-uniform rational b-spline (NURBS) surfaces using virtual shaping tools. NURBS have become the industry standard for representation of free-form curves and surfaces. The contribution of the work presented here is in the development of shaping tools which are used to operate directly on the NURBS data and change the shape of the surfaces in a virtual environment. These shaping tools allow surface manipulations to be made using methods that match the shaping of real malleable objects. The virtual shaping tools are three-dimensional shapes that are controlled through a six degree-of-freedom tracking system that converts user hand motions into computer input. The NURBS surface updates itself in real time due to the effect of the tools on the surface. The new shape of the surface is dependent on the position and orientation of the shaping tool relative to the surface. Constraint-based surface manipulation is used to obtain multiple point direct manipulation of NURBS surfaces. In addition, computational methods to allow the user to have direct control of the first derivative of the surface over an area are implemented. This application has been developed using the C2 software libraries and Iowa State University’s C2 surround screen virtual environment.
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Cybulski, Jacob L., Susan Keller, and Dilal Saundage. "Interactive Exploration of Data with Visual Metaphors." International Journal of Software Engineering and Knowledge Engineering 25, no. 02 (March 2015): 231–52. http://dx.doi.org/10.1142/s0218194015400082.
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Visual Analytics (VA) is an approach to data analysis by means of visual manipulation of data representation, which relies on innate human abilities of perception and cognition. Even though current visual toolkits in the Business Analytics (BA) domain have improved the effectiveness of data exploration, analysis and reporting, their features are often not intuitive, and can be confusing and difficult to use. Moreover, visualizations generated from these toolkits are mostly accessible to specialist users. Thus, there is a need for analytic environments that support data exploration, interpretation and communication of insight that do not add to the cognitive load of the analyst and their non-technical clients. In this conceptual paper, we explore the potential of primary metaphors, which arise out of human lived and sensory-motor experiences, in the design of immersive visual analytics environments. Primary metaphors provide ideas for representation of time, space, quantity, similarity, actions and team work. Using examples developed in our own work, we also explain how to combine such metaphors to create complex and cognitively acceptable visual metaphors, such as 3D data terrains that approximate our intuition of reality and create opportunities for data to be viewed, navigated, explored, touched, changed, discussed, reported and described to others, individually or collaboratively.
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Frtunić Gligorijević, Milena, Miloš Bogdanović, Nataša Veljković, and Leonid Stoimenov. "TOOL FOR INTERACTIVE VISUAL ANALYSIS OF LARGE HIERARCHICAL DATA STRUCTURES." Facta Universitatis, Series: Automatic Control and Robotics 20, no. 2 (November 24, 2021): 111. http://dx.doi.org/10.22190/fuacr210715009f.
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In the Big Data era data visualization and exploration systems, as means for data perception and manipulation are facing major challenges. One of the challenges for modern visualization systems is to ensure adequate visual presentation and interaction. Therefore, within this paper, we present a tool for interactive visualization of data with a hierarchical structure. It is a general-purpose tool that uses a graph-based approach. However, its main focus is on the visual analysis of concept lattices generated as the output of the Formal Concept Analysis algorithm. As the data grow, concept lattice can become complex and hard for visualization and analysis. In order to address this issue, functionalities important for the exploration of the large concept lattices are applied within this tool. The usage of the tool is presented in the example of visualization of concept lattices generated based on the available data on the Canadas open data portal and can be used for exploring the usage of tags within datasets.
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Hochheiser, Harry, and Ben Shneiderman. "Dynamic Query Tools for Time Series Data Sets: Timebox Widgets for Interactive Exploration." Information Visualization 3, no. 1 (March 2004): 1–18. http://dx.doi.org/10.1057/palgrave.ivs.9500061.
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Timeboxes are rectangular widgets that can be used in direct-manipulation graphical user interfaces (GUIs) to specify query constraints on time series data sets. Timeboxes are used to specify simultaneously two sets of constraints: given a set of N time series profiles, a timebox covering time periods x1… x2 ( x1 ≤ x2) and values y1… y2 ( y1 ≤ y2) will retrieve only those n√N that have values y1 ≤ y2 during all times x1 ≤ x ≤ x2. TimeSearcher is an information visualization tool that combines timebox queries with overview displays, query-by-example facilities, and support for queries over multiple time-varying attributes. Query manipulation tools including pattern inversion and ‘leaders & laggards’ graphical bookmarks provide additional support for interactive exploration of data sets. Extensions to the basic timebox model that provide additional expressivity include variable time timeboxes, which can be used to express queries with variability in the time interval, and angular queries, which search for ranges of differentials, rather than absolute values. Analysis of the algorithmic requirements for providing dynamic query performance for timebox queries showed that a sequential search outperformed searches based on geometric indices. Design studies helped identify the strengths and weaknesses of the query tools. Extended case studies involving the analysis of two different types of data from molecular biology experiments provided valuable feedback and validated the utility of both the timebox model and the TimeSearcher tool. Timesearcher is available at http://www.cs.umd.edu/hcil/timesearcher
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BUSKULIC, D., L. DEROME, R. FLAMINIO, F. MARION, L. MASSONET, B. MOURS, R. MORAND, D. VERKINDT, and M. YVERT. "VEGA, AN ENVIRONMENT FOR GRAVITATIONAL WAVES DATA ANALYSIS." International Journal of Modern Physics D 09, no. 03 (June 2000): 293–97. http://dx.doi.org/10.1142/s021827180000030x.
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A new generation of large scale and complex Gravitational Wave detectors is building up. They will produce big amount of data and will require intensive and specific interactive/batch data analysis. We will present VEGA, a framework for such data analysis, based on ROOT. VEGA uses the Frame format defined as standard by GW groups around the world. Furthermore, new tools are developed in order to facilitate data access and manipulation, as well as interface with existing algorithms. VEGA is currently evaluated by the VIRGO experiment.
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Newton, Marcus C., Yoshinori Nishino, and Ian K. Robinson. "Bonsu: the interactive phase retrieval suite." Journal of Applied Crystallography 45, no. 4 (July 14, 2012): 840–43. http://dx.doi.org/10.1107/s0021889812026751.
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Coherent X-ray diffraction imaging has received considerable attention as a nondestructive method for probing material structure at the nanoscale. However, tools for reconstructing and analysing data in both two and three dimensions have lagged somewhat behind.Bonsu, the interactive phase retrieval suite, is the first software package that allows real-time visualization of the reconstruction of phase information in both two and three dimensions. It comes complete with an inventory of algorithms and routines for data manipulation and reconstruction.Bonsuis open source, is designed around the Python language (with C++ bindings) and is largely platform independent.Bonsuis made available under version three of the GNU General Public License and can be found at https://code.google.com/p/bonsu/.
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Ankenbrand, Markus J., Sonja Hohlfeld, Thomas Hackl, and Frank Förster. "AliTV—interactive visualization of whole genome comparisons." PeerJ Computer Science 3 (June 12, 2017): e116. http://dx.doi.org/10.7717/peerj-cs.116.
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Whole genome alignments and comparative analysis are key methods in the quest of unraveling the dynamics of genome evolution. Interactive visualization and exploration of the generated alignments, annotations, and phylogenetic data are important steps in the interpretation of the initial results. Limitations of existing software inspired us to develop our new tool AliTV, which provides interactive visualization of whole genome alignments. AliTV reads multiple whole genome alignments or automatically generates alignments from the provided data. Optional feature annotations and phylo- genetic information are supported. The user-friendly, web-browser based and highly customizable interface allows rapid exploration and manipulation of the visualized data as well as the export of publication-ready high-quality figures. AliTV is freely available at https://github.com/AliTVTeam/AliTV.
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Lanrezac, André, Benoist Laurent, Hubert Santuz, Nicolas Férey, and Marc Baaden. "Fast and Interactive Positioning of Proteins within Membranes." Algorithms 15, no. 11 (November 7, 2022): 415. http://dx.doi.org/10.3390/a15110415.
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(1) Background: We developed an algorithm to perform interactive molecular simulations (IMS) of protein alignment in membranes, allowing on-the-fly monitoring and manipulation of such molecular systems at various scales. (2) Methods: UnityMol, an advanced molecular visualization software; MDDriver, a socket for data communication; and BioSpring, a Spring network simulation engine, were extended to perform IMS. These components are designed to easily communicate with each other, adapt to other molecular simulation software, and provide a development framework for adding new interaction models to simulate biological phenomena such as protein alignment in the membrane at a fast enough rate for real-time experiments. (3) Results: We describe in detail the integration of an implicit membrane model for Integral Membrane Protein And Lipid Association (IMPALA) into our IMS framework. Our implementation can cover multiple levels of representation, and the degrees of freedom can be tuned to optimize the experience. We explain the validation of this model in an interactive and exhaustive search mode. (4) Conclusions: Protein positioning in model membranes can now be performed interactively in real time.
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Romanowski, Andrzej, Zbigniew Chaniecki, Aleksandra Koralczyk, Mikołaj Woźniak, Adam Nowak, Przemysław Kucharski, Tomasz Jaworski, Maja Malaya, Paweł Rózga, and Krzysztof Grudzień. "Interactive Timeline Approach for Contextual Spatio-Temporal ECT Data Investigation." Sensors 20, no. 17 (August 25, 2020): 4793. http://dx.doi.org/10.3390/s20174793.
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This paper presents a novel approach to a complex process of electrical capacitance tomography (ECT) measurement data analysis. ECT is frequently employed for non-invasive monitoring of industrial process phenomena. Proposed methodology is based on the premeditated integration of the spatial and temporal relations inherent in the measurement records into the workflow of the analysis procedure. We propose a concept of interactive timeline that enables arranging data visualization according to the user’s current focus along the process of analysis. We evaluated the proposed method using a prototype system in a task-based user study conducted with a group of domain experts. The evaluation is based on gravitational silo flow measurement datasets. Proposed prototype system enables diverse data manipulation in a more natural way allowing the user to switch back and forth between space and time domains along the data analysis trail. Experiments with the prototype system showed that the accuracy and completion times have significantly improved in comparison to the performance measured in the baseline condition. Additionally, the participants reported decreased physical load with improved efficiency measured with NASA task load index. Finally, a short discussion coupled with directions for the future of interactive spatio-temporal ECT measurement data analysis conclude the paper.
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Chen, Ning, Wen Wen Li, Lei Xin Nie, Wei Liu, and Zhi Min Wang. "Research on the Simulation Technology of Virtual Hand Interventional Manipulation in the Virtual Environment." Applied Mechanics and Materials 665 (October 2014): 698–705. http://dx.doi.org/10.4028/www.scientific.net/amm.665.698.
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In order to improve the authenticity of human-computer interaction in the virtual scene, the data glove is used. Aimed at this sensor input device for the characteristic of multiple-joints, the collection and calibration method of original data are discussed. By analyzing the movement characteristics of human hand, mapping from human hand to virtual hand is accomplished. By embedding OSG in MFC, with the intersect vector method and map projection method, invoking the 3D ship engine room and interactive effect of people roaming in the scene are reached. And at last, by using the data glove, the interventional manipulation of virtual objects in the virtual scene is implemented.
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Ellisman, Mark H., Gabriel E. Soto, and Maryann E. Martone. "The merger of microscopy and advanced computing: A new frontier for the 21st century." Proceedings, annual meeting, Electron Microscopy Society of America 52 (1994): 10–11. http://dx.doi.org/10.1017/s0424820100167780.
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Establishing and maintaining state-of-the-art national resources such as HVEM, IVEM and supercomputing centers involves considerable initial cost and continued support of staff with special skills and knowledge. The increased availability of high performance computing and communications offers scientists the potential for effective remote interactive use of such centralized, specialized, and expensive facilities. Anticipating improvements in computing and communications infrastructure, a collaborative computational environment, or “Collaboratory for Microscopic Digital Anatomy” (CMDA), is being developed that will provide a researcher at a remote site distributed interaction with unique instrumentation for the acquisition and manipulation of biological images. The prototype outlined in figure 1 was developed at the San Diego Microscopy and Imaging Resource. The CDMA integrates remote interactive acquisition and analysis of 2- and 3-dimensional electron microscopic data from state-of-the-art digital image acquisition systems such as a computer-controled IVEM. A software system has been developed that provides interactive control of image acquisition from the IVEM from a remote laboratory (and eventually any laboratory on the Internet). Sophisticated software tools for image analysis, visualization, and data management of these digital images are also under development. The system design will provide transparent distribution of tasks that require extensive computation to high performance computers accessible on the network. These tasks include the derivation of 3-dimensional structure using electron microscope tomography, automatic feature extraction for serial section reconstructions as well as manipulation and exploration of 3-dimensional biological datasets.
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Eren, A. Murat, Özcan C. Esen, Christopher Quince, Joseph H. Vineis, Hilary G. Morrison, Mitchell L. Sogin, and Tom O. Delmont. "Anvi’o: an advanced analysis and visualization platform for ‘omics data." PeerJ 3 (October 8, 2015): e1319. http://dx.doi.org/10.7717/peerj.1319.
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Advances in high-throughput sequencing and ‘omics technologies are revolutionizing studies of naturally occurring microbial communities. Comprehensive investigations of microbial lifestyles require the ability to interactively organize and visualize genetic information and to incorporate subtle differences that enable greater resolution of complex data. Here we introduce anvi’o, an advanced analysis and visualization platform that offers automated and human-guided characterization of microbial genomes in metagenomic assemblies, with interactive interfaces that can link ‘omics data from multiple sources into a single, intuitive display. Its extensible visualization approach distills multiple dimensions of information about each contig, offering a dynamic and unified work environment for data exploration, manipulation, and reporting. Using anvi’o, we re-analyzed publicly available datasets and explored temporal genomic changes within naturally occurring microbial populations throughde novocharacterization of single nucleotide variations, and linked cultivar and single-cell genomes with metagenomic and metatranscriptomic data. Anvi’o is an open-source platform that empowers researchers without extensive bioinformatics skills to perform and communicate in-depth analyses on large ‘omics datasets.
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Liu, Ping, and Yongping Ran. "The role of metapragmatic expressions as pragmatic manipulation in a TV panel discussion program." Pragmatics and Society 7, no. 3 (September 12, 2016): 463–81. http://dx.doi.org/10.1075/ps.7.3.06liu.
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This study explores the role of metapragmatic expressions (MPEs) as pragmatic manipulation in a media context, with data drawn from a Chinese TV panel discussion program Tiger Talk. It argues that the program host selects MPEs to manipulate the ongoing interactions, in order to solve or prevent the actual or potential problems in the interactions. Hence, the functioning of MPEs is described as a process consisting of three stages: problem awareness, pragmatic manipulation, and problem resolution or prevention. It is found that the host mainly uses five types of MPEs, i.e. performatives, commentaries, evidentials, message glosses, and stance displayers for the sake of pragmatic manipulation across the three dimensions of interactive procedure control, rapport management, and impact monitoring. The article concludes that the host’s pragmatic manipulation of the ongoing interactions, driven by both institutional and interpersonal concerns, is motivated by his institutional rights and obligations as a program manager.
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Schach, Stephen R., and Peter T. Wood. "An almost path-free very high-level interactive data manipulation language for a microcomputer-based database system." Software: Practice and Experience 16, no. 3 (March 1986): 243–68. http://dx.doi.org/10.1002/spe.4380160306.
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Al Khayer, Aala, and Evi Indriasari Mansor. "Ilung: Interactive Holographic Medical Application for Lung CT Scans Using Hololens." International Journal of Engineering & Technology 7, no. 4.31 (December 9, 2018): 408–13. http://dx.doi.org/10.14419/ijet.v7i4.31.23720.
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This research aims to design a holographic medical application for lung CT scans using Microsoft HoloLens. iLung application offers users the possibility to interact with the actual lung of a patient in a mixed reality and 3D environment. A prototype of the iLung was developed based on raw CT scans data and converted into 3D model generation. This paper reports the earlier stage in designing the application. Based on the application’s overview with a group of users, the findings gathered showed that iLung prototype facilitates interactive manipulation and exploring of the 3D lung object. Feedback and comments were recorded for future improvements such as air taping interaction method and voice command.  Â
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Henry, Tyson R., Andrey K. Yeatts, Scott E. Hudson, Brad A. Myers, and Steven Feiner. "A Nose Gesture Interface Device: Extending Virtual Realities." Presence: Teleoperators and Virtual Environments 1, no. 2 (January 1992): 258–61. http://dx.doi.org/10.1162/pres.1992.1.2.258.
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This paper reports on the1 development of a nose-machine interface device that provides real-time gesture, position, smell and facial expression information. The DATANOSE™2—Data AtomaTa CORNUCOPIA pNeumatic Olfactory 1/O-deviSE Tactile Manipulation (Olsen, 1986; Myers, 1991)—allows novice users without any formal nose training to perform complex interactive tasks.
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Boier-Martin, Ioana, and Holly Rushmeier. "Reverse Engineering Methods for Digital Restoration Applications." Journal of Computing and Information Science in Engineering 6, no. 4 (May 30, 2006): 364–71. http://dx.doi.org/10.1115/1.2356497.
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In this paper we discuss the challenges of processing and converting 3D scanned data to representations suitable for interactive manipulation in the context of virtual restoration applications. We present a constrained parametrization approach that allows us to represent 3D scanned models as parametric surfaces defined over polyhedral domains. A combination of normal- and spatial-based clustering techniques is used to generate a partition of the model into regions suitable for parametrization. Constraints can be optionally imposed to enforce a strict correspondence between input and output features. We consider two types of virtual restoration methods: (a) a paint restoration method that takes advantage of the normal-based coarse partition to identify large regions of reduced metric distortion suitable for texture mapping and (b) a shape restoration approach that relies on a refined partition used to convert the input model to a multiresolution subdivision representation suitable for intuitive interactive manipulation during digital studies of historical artifacts.
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Chen, Yu-Lin, Ting-Sheng Lai, Takami Yasuda, and Shigeki Yokoi. "A museum exhibits support system based on history and culture literacy." International Journal of Humanities and Arts Computing 6, no. 1-2 (March 2012): 148–59. http://dx.doi.org/10.3366/ijhac.2012.0045.
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Museums need an interactive data collection and visualisation tool for their artefacts. This paper describes a study in which we enable access to Chinese and Japanese cultural heritage information from two history museums, the National Palace Museum in Taiwan and the Tokugawa Art Museum in Japan. Results from these museum databases were used to develop a prototype system to demonstrate advanced cultural learning and historical timeline functionalities for foreigners. This system is based on temporal data from the museums’ databases, and provided the user with powerful data manipulation and graphical visualisation tools. It might become a basis of an interactive digital museum system for Chinese and Japanese heritages especially for foreign users.
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Hurley, Alexander G., Richard L. Peters, Christoforos Pappas, David N. Steger, and Ingo Heinrich. "Addressing the need for interactive, efficient, and reproducible data processing in ecology with the datacleanr R package." PLOS ONE 17, no. 5 (May 12, 2022): e0268426. http://dx.doi.org/10.1371/journal.pone.0268426.
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Ecological research, just as all Earth System Sciences, is becoming increasingly data-rich. Tools for processing of “big data” are continuously developed to meet corresponding technical and logistical challenges. However, even at smaller scales, data sets may be challenging when best practices in data exploration, quality control and reproducibility are to be met. This can occur when conventional methods, such as generating and assessing diagnostic visualizations or tables, become unfeasible due to time and practicality constraints. Interactive processing can alleviate this issue, and is increasingly utilized to ensure that large data sets are diligently handled. However, recent interactive tools rarely enable data manipulation, may not generate reproducible outputs, or are typically data/domain-specific. We developed datacleanr, an interactive tool that facilitates best practices in data exploration, quality control (e.g., outlier assessment) and flexible processing for multiple tabular data types, including time series and georeferenced data. The package is open-source, and based on the R programming language. A key functionality of datacleanr is the “reproducible recipe”—a translation of all interactive actions into R code, which can be integrated into existing analyses pipelines. This enables researchers experienced with script-based workflows to utilize the strengths of interactive processing without sacrificing their usual work style or functionalities from other (R) packages. We demonstrate the package’s utility by addressing two common issues during data analyses, namely 1) identifying problematic structures and artefacts in hierarchically nested data, and 2) preventing excessive loss of data from ‘coarse,’ code-based filtering of time series. Ultimately, with datacleanr we aim to improve researchers’ workflows and increase confidence in and reproducibility of their results.
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Elmqvist, Niklas, Andrew Vande Moere, Hans-Christian Jetter, Daniel Cernea, Harald Reiterer, and TJ Jankun-Kelly. "Fluid interaction for information visualization." Information Visualization 10, no. 4 (August 22, 2011): 327–40. http://dx.doi.org/10.1177/1473871611413180.
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Despite typically receiving little emphasis in visualization research, interaction in visualization is the catalyst for the user's dialogue with the data, and, ultimately, the user's actual understanding and insight into these data. There are many possible reasons for this skewed balance between the visual and interactive aspects of a visualization. One reason is that interaction is an intangible concept that is difficult to design, quantify, and evaluate. Unlike for visual design, there are few examples that show visualization practitioners and researchers how to design the interaction for a new visualization in the best manner. In this article, we attempt to address this issue by collecting examples of visualizations with ‘best-in-class’ interaction and using them to extract practical design guidelines for future designers and researchers. We call this concept fluid interaction, and we propose an operational definition in terms of the direct manipulation and embodied interaction paradigms, the psychological concept of ‘flow’, and Norman's gulfs of execution and evaluation.
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Allegri, Stephen A., Kevin McCoy, and Cassie S. Mitchell. "CompositeView: A Network-Based Visualization Tool." Big Data and Cognitive Computing 6, no. 2 (June 14, 2022): 66. http://dx.doi.org/10.3390/bdcc6020066.
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Large networks are quintessential to bioinformatics, knowledge graphs, social network analysis, and graph-based learning. CompositeView is a Python-based open-source application that improves interactive complex network visualization and extraction of actionable insight. CompositeView utilizes specifically formatted input data to calculate composite scores and display them using the Cytoscape component of Dash. Composite scores are defined representations of smaller sets of conceptually similar data that, when combined, generate a single score to reduce information overload. Visualized interactive results are user-refined via filtering elements such as node value and edge weight sliders and graph manipulation options (e.g., node color and layout spread). The primary difference between CompositeView and other network visualization tools is its ability to auto-calculate and auto-update composite scores as the user interactively filters or aggregates data. CompositeView was developed to visualize network relevance rankings, but it performs well with non-network data. Three disparate CompositeView use cases are shown: relevance rankings from SemNet 2.0, an open-source knowledge graph relationship ranking software for biomedical literature-based discovery; Human Development Index (HDI) data; and the Framingham cardiovascular study. CompositeView was stress tested to construct reference benchmarks that define breadth and size of data effectively visualized. Finally, CompositeView is compared to Excel, Tableau, Cytoscape, neo4j, NodeXL, and Gephi.
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Mezzina, Giovanni, and Daniela De Venuto. "An Embedded Framework for Fully Autonomous Object Manipulation in Robotic-Empowered Assisted Living." Sensors 23, no. 1 (December 22, 2022): 103. http://dx.doi.org/10.3390/s23010103.
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Most of the humanoid social robots currently diffused are designed only for verbal and animated interactions with users, and despite being equipped with two upper arms for interactive animation, they lack object manipulation capabilities. In this paper, we propose the MONOCULAR (eMbeddable autONomous ObjeCt manipULAtion Routines) framework, which implements a set of routines to add manipulation functionalities to social robots by exploiting the functional data fusion of two RGB cameras and a 3D depth sensor placed in the head frame. The framework is designed to: (i) localize specific objects to be manipulated via RGB cameras; (ii) define the characteristics of the shelf on which they are placed; and (iii) autonomously adapt approach and manipulation routines to avoid collisions and maximize grabbing accuracy. To localize the item on the shelf, MONOCULAR exploits an embeddable version of the You Only Look Once (YOLO) object detector. The RGB camera outcomes are also used to estimate the height of the shelf using an edge-detecting algorithm. Based on the item’s position and the estimated shelf height, MONOCULAR is designed to select between two possible routines that dynamically optimize the approach and object manipulation parameters according to the real-time analysis of RGB and 3D sensor frames. These two routines are optimized for a central or lateral approach to objects on a shelf. The MONOCULAR procedures are designed to be fully automatic, intrinsically protecting sensitive users’ data and stored home or hospital maps. MONOCULAR was optimized for Pepper by SoftBank Robotics. To characterize the proposed system, a case study in which Pepper is used as a drug delivery operator is proposed. The case study is divided into: (i) pharmaceutical package search; (ii) object approach and manipulation; and (iii) delivery operations. Experimental data showed that object manipulation routines for laterally placed objects achieves a best grabbing success rate of 96%, while the routine for centrally placed objects can reach 97% for a wide range of different shelf heights. Finally, a proof of concept is proposed here to demonstrate the applicability of the MONOCULAR framework in a real-life scenario.
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Ebrahim, H., T. Santhanavanich, P. Wuerstle, and V. Coors. "CONCEPT AND EVALUATION OF AN URBAN PLATFORM FOR INTERACTIVE VISUAL ANALYTICS." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences VIII-4/W1-2021 (September 3, 2021): 33–40. http://dx.doi.org/10.5194/isprs-annals-viii-4-w1-2021-33-2021.
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Abstract. Urban platforms are becoming a vital role player in city resources management for achieving the right balance between social and economic services and their impact on the environment. More and more cities are starting to benefit from an urban platform to state the city conditions and re-coin the shape of life depending on data gathered from different city systems. However, urban platforms need further support of data analytics in respect of reaching a smart city platform helping city planners with better decision making. Besides, the majority of operational urban platforms consider 2D data only, missing out on the possible information that could be obtained from 3D city models. This work proposes a concept for an urban platform that supports data manipulation and visualization plus interactive analytic functionalities. As a prototype, an urban platform is implemented for integrating and processing 3D city models and 2D traffic data to derive air pollutants emission rates with analytic visualization, leading urban planning to concentrate on the most affected areas. In addition, interactive features are implemented, including filtering, querying, and classifying data to support the analytic visualization in the developed urban platform.
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Smołucha, Danuta. "Internet – the First Source of (dis)Information." Perspektywy Kultury 25, no. 2 (April 27, 2020): 97–116. http://dx.doi.org/10.35765/pk.2019.2502.08.
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The Internet is the first medium in which controlling the content has become difficult or even impossible. One of its reasons is the fact that the Internet users – who so far were only passive recipients of media messages – have gained the possibility to create and distribute their own messages. Thus, they have become active participants of the participatory culture, in which it is difficult to distinguish between professional and amateur content. The boundaries between private and public domains have become blurred. The distribution of forces shaping public opinion has changed, because the content comes from large media corporations and nonprofessional creators alike.
The Internet message is characterized by instantaneous distribution, the ease of editing and modifying its content, and vagueness of authorship. These features make the Internet particularly susceptible to disinformation purposefully aimed at manipulating its users. The fact that every activity undertaken by the Internet users is recorded and analysed is also conducive to manipulation attempts, as the data obtained this way are used to shape their opinions and influence their decisions.
The aim of the article is to undertake a discourse on information and disinformation on the Internet in the context of the development of new digital communication tools. The article provides the examples of information manipulation, which could happen only in such an interactive and multimedia medium as the Internet.
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Porfirio, Ricardo Tristão, Juarez Campolina Machado, Emerson Augusto Priamo Moraes, Ricardo Guimarães Andrade, Marcos Cicarini Hott, Matheus Bertolino Motta, and Vanessa Maia Aguiar de Magalhães. "Business Intelligence Tools Applied in the Assessment of the Genotype X Environment Interaction in Elephant Grass." Revista de Gestão Social e Ambiental 18, no. 10 (October 10, 2024): e09243. http://dx.doi.org/10.24857/rgsa.v18n10-190.
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Objective: This study aimed to present a tool for evaluating the genotype x environment interaction using dashboards developed with Business Intelligence (BI) techniques in multiple elephant grass experiments for bioenergy production. Theoretical Framework: Elephant grass, among the crops dedicated to the production of biomass energy, is considered a prominent alternative. It is widely known to breeders that, when evaluating genotypes in various environments, consistent behavior is not observed. This differentiated response of genotypes to environmental variation is called genotype x environment interaction. As the main purpose of a breeding program is to select genotypes of consistent and high productivity, in the most diverse environments, the interaction of these factors can represent a problem for breeders, as it reduces the precision in the selection from one environment to another. Method: The tool selected for the development and manipulation of dashboards, provided by Google, is called Looker Studio, which allows the unification of several databases in a single environment. This integration facilitates the manipulation, creation and development of interactive management reports, promoting a dynamic and personalized visualization of information, an essential feature for analyzing and interpreting data in complex scenarios such as genotype x environment interaction. Results and Discussion: BI tools prove to be a promising strategy for interpreting the genotype x environment interaction in multiple elephant grass experiments for bioenergy production. These tools allow researchers to quickly and dynamically visualize this phenomenon, providing ease of interpretation of large data sets. Research Implications: The theoretical and practical implications of this research are valuable for evaluating the genotype x environment interaction in elephant grass, as they allow collecting, storing, processing and visualizing large amounts of data efficiently, allowing users to identify patterns and trends in the data that assist in making more assertive decisions. Originality/Value: This study contributes to the evaluation of elephant grass genotypes for biomass energy production.
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Beckstette, Michael, Jens T. Mailänder, Richard J. Marhöfer, Alexander Sczyrba, Enno Ohlebusch, Robert Giegerich, and Paul M. Selzer. "Genlight: Interactive high-throughput sequence analysis and comparative genomics." Journal of Integrative Bioinformatics 1, no. 1 (December 1, 2004): 90–107. http://dx.doi.org/10.1515/jib-2004-8.
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Abstract With rising numbers of fully sequenced genomes the importance of comparative genomics is constantly increasing. Although several software systems for genome comparison analyses do exist, their functionality and flexibility is still limited, compared to the manifold possible applications. Therefore, we developed Genlight(http://piranha.techfak.uni-bielefeld.de.), a Client/Server based program suite for large scale sequence analysis and comparative genomics. Genlight uses the object relational database system PostgreSQL together with a state of the art data representation and a distributed execution approach for large scale analysis tasks. The system includes a wide variety of comparison and sequence manipulation methods and supports the management of nucleotide sequences as well as protein sequences. The comparison methods are complemented by a large variety of visualization methods for the assessment of the generated results. In order to demonstrate the suitability of the system for the treatment of biological questions, Genlight was used to identify potential drug and vaccine targets of the pathogen Helicobacter pylori.
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Freitag, Lori, and Timothy Urness. "Analyzing Industrial Furnace Efficiency Using Comparative Visualization in a Virtual Reality Environment." Journal of Manufacturing Science and Engineering 124, no. 2 (April 29, 2002): 456–61. http://dx.doi.org/10.1115/1.1445150.
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We describe an interactive toolkit used to perform comparative analysis of two or more data sets arising from numerical simulations. Several techniques have been incorporated into this toolkit, including (1) successive visualization of individual data sets, (2) data comparison techniques such as computation and visualization of the differences between data sets, and (3) image comparison methods such as scalar field height profiles plotted in a common coordinate system. We describe each technique in detail and show example usage in an industrial application aimed at designing an efficient, low-NOx burner for industrial furnaces. Critical insights are obtained by interactively adjusted color maps, data culling, and data manipulation. New paradigms for scaling small values in the data comparison technique are described. The display device used for this application is the CAVE virtual reality theater, and we describe the user interface to the visualization toolkit and the benefits of immersive 3D visualization for comparative analysis.
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Maples, Creve, and Craig Peterson. "µuSE (Multidimensional, User-Oriented Synthetic Environment): a Functionality-based, Human Computer Interface." International Journal of Virtual Reality 1, no. 1 (January 1, 1995): 2–9. http://dx.doi.org/10.20870/ijvr.1995.1.1.2601.
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The Multidimensional User-oriented Synthetic Environment, µuSE, is an open-ended software shell that provides a new approach to interacting with computer-based information. By using a real-time, device-independent software design and incorporating both cognitive and experiential models of human perception, µuSE greatly enhances a person's ability to examine, interact with, and understand relationships in complex information space. A µuSE shell may be wrapped around data, models, simulations or even complete programs. Using a new design approach, based on human functionality, it provides tools for the presentation, exploration, navigation, manipulation, and examination of information. Users experience a highly interactive environment, capable of dynamically mapping information into visual, auditory or kinesthetic representations. By eliminating the necessity for application programs to directly interact with devices, and by providing standard functional channels for user communication, the software environment significantly reduces and simplifies application code development. puSE also permits both multiprocessor operations and distributed network-based, heterogeneously shared environments. The system currently supports flat screen, stereo, and VR operation (with full head-tracking), voice recognition, sound synthesis, data sonification, and a variety of commercial interactive devices.
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Konarev, P. V., M. V. Petoukhov, and D. I. Svergun. "MASSHA– a graphics system for rigid-body modelling of macromolecular complexes against solution scattering data." Journal of Applied Crystallography 34, no. 4 (July 22, 2001): 527–32. http://dx.doi.org/10.1107/s0021889801006100.
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A program,MASSHA, for three-dimensional rendering and rigid-body refinement is presented. The program allows display and manipulation of high-resolution atomic structures and low-resolution models represented as smooth envelopes or ensembles of beads.MASSHAis coupled with a computational module to align structural models of different nature and resolution automatically. The main feature is the possibility for rigid-body refinement of the quaternary structure of macromolecular complexes. If high- or low-resolution models of individual subunits are available, the complex can be constructed on the computer display and refined to fit the experimental solution scattering data.MASSHAprovides both interactive and automated refinement modes to position subunits in a heterodimeric complex (general case) and in a homodimeric complex with a twofold symmetry axis. Examples of application of the program (running on IBM PC compatible machines under Windows 9x/NT/2000) are given.
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McCarthny, Cushla R., Xin Du, YeeWen Candace Wu, and Rachel A. Hill. "Investigating the Interactive Effects of Sex Steroid Hormones and Brain-Derived Neurotrophic Factor during Adolescence on Hippocampal NMDA Receptor Expression." International Journal of Endocrinology 2018 (2018): 1–12. http://dx.doi.org/10.1155/2018/7231915.
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Sex steroid hormones have neuroprotective properties which may be mediated by brain-derived neurotrophic factor (BDNF). This study sought to determine the interactive effects of preadolescent hormone manipulation and BDNF heterozygosity (+/−) on hippocampal NMDA-R expression. Wild-type and BDNF+/−mice were gonadectomised, and females received either 17β-estradiol or progesterone treatment, while males received either testosterone or dihydrotestosterone (DHT) treatment. Dorsal (DHP) and ventral hippocampus (VHP) were dissected, and protein expression of GluN1, GluN2A, GluN2B, and PSD-95 was assessed by Western blot analysis. Significant genotype × OVX interactions were found for GluN1 and GluN2 expression within the DHP of female mice, suggesting modulation of select NMDA-R levels by female sex hormones is mediated by BDNF. Furthermore, within the DHP BDNF+/−mice show a hypersensitive response to hormone treatment on GluN2 expression which may result from upstream alterations in TrkB phosphorylation. In contrast to the DHP, the VHP showed no effects of hormone manipulation but significant effects of genotype on NMDA-R expression. Castration had no effect on NMDA-R expression; however, androgen treatment had selective effects on GluN2B. These data show case distinct, interactive roles for sex steroid hormones and BDNF in the regulation of NMDA-R expression that are dependent on dorsal versus ventral hippocampal region.
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Dong, Xiaoxi, Kovidh Vegesna, Cory Brouwer, and Weijun Luo. "SBGNview: towards data analysis, integration and visualization on all pathways." Bioinformatics 38, no. 5 (November 23, 2021): 1473–76. http://dx.doi.org/10.1093/bioinformatics/btab793.
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Abstract Summary Pathway analysis is widely used in genomics and omics research, but the data visualization has been highly limited in function, pathway coverage and data format. Here, we develop SBGNview a comprehensive R package to address these needs. By adopting the standard SBGN format, SBGNview greatly extend the coverage of pathway-based analysis and data visualization to essentially all major pathway databases beyond KEGG, including 5200 reference pathways and over 3000 species. In addition, SBGNview substantially extends or exceeds current tools (esp. Pathview) in both design and function, including standard input format (SBGN), high-quality output graphics (SVG format) convenient for both interpretation and further update, and flexible and open-end workflow for iterative editing and interactive visualization (Highlighter module). In addition to pathway analysis and data visualization, SBGNview provides essential infrastructure for SBGN data manipulation and processing. Availability and implementation The data underlying this article are available as part of the SBGNview package is available on both GitHub and Bioconductor: https://github.com/datapplab/SBGNview, https://bioconductor.org/packages/SBGNview. Supplementary information Supplementary data are available at Bioinformatics online.
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Whitmore, Mihriban, Ann M. Aldridge, Randy B. Morris, Abhilash K. Pandya, Robert P. Wilmington, Dean G. Jensen, and James C. Maidaxy. "Integrating Microgravity Test Data with a Human Computer Reach Model." Proceedings of the Human Factors Society Annual Meeting 36, no. 16 (October 1992): 1249–53. http://dx.doi.org/10.1177/154193129203601615.
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Future space vehicles such as the Space Station Freedom will be equipped with computers that have direct manipulation capabilities. The human factors challenge is to provide an optimal human-systems interface which will accommodate a wide range of users and tasks in a microgravity environment. A series of experiments have been conducted by the Man-Systems Division at Johnson Space Center to resolve anthropometric issues related to human reach capabilities and limitations impacting workstation design. To facilitate this goal, two approaches, “Performance-based” and “Model-based” analyses, were integrated to investigate the human reach mapped onto the workstation display panels. Microgravity maximum reach sweep data were collected onboard NASA's KC-135 Reduced Gravity Aircraft. A three-dimensional (3-D) interactive graphics system, PLAID, was used to generate anthropometrically correct human computer models. Video tapes recorded during the flights were used to extract information for positioning each human representation in the computer model relative to the workstation. The approach, findings and implications of the evaluations are discussed in the paper.
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Lin Oktris, Agustin Fadjarenie, Apollo Daito, and Zuha Rosufila Bt Abu Hasan. "Environment Uncertainty, Earnings Volatility and Their Role in Financial Statement Fraud?" Jurnal Akuntansi 29, no. 1 (January 31, 2025): 48–69. https://doi.org/10.24912/ja.v29i1.2441.
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This study examines the influence of environmental uncertainty (EU) and earnings volatility (EV) on fraudulent financial statements (FFS) in Indonesia’s manufacturing sector. The research utilises observational data from 902 instances across 188 manufacturing companies from 2019 to 2023, employing multiple regression analysis to test the relationships between variables. The results reveal that EV has a significant positive effect on FFS, while EU does not show a significant impact. The novelty of this study lies in its integrative approach, considering the interactive effects between EU and EV, which have been underexplored in previous literature. The findings suggest that high earnings volatility can be an early indicator of financial statement manipulation. The practical implications emphasise the importance of closely monitoring earnings volatility by regulators and auditors as a preventive measure against financial fraud and strengthening internal control mechanisms and corporate governance to minimise the risk of financial statement manipulation.
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Hess, M. R., V. Petrovic, and F. Kuester. "INTERACTIVE CLASSIFICATION OF CONSTRUCTION MATERIALS: FEEDBACK DRIVEN FRAMEWORK FOR ANNOTATION AND ANALYSIS OF 3D POINT CLOUDS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W5 (August 18, 2017): 343–47. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w5-343-2017.
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Digital documentation of cultural heritage structures is increasingly more common through the application of different imaging techniques. Many works have focused on the application of laser scanning and photogrammetry techniques for the acquisition of threedimensional (3D) geometry detailing cultural heritage sites and structures. With an abundance of these 3D data assets, there must be a digital environment where these data can be visualized and analyzed. Presented here is a feedback driven visualization framework that seamlessly enables interactive exploration and manipulation of massive point cloud data. The focus of this work is on the classification of different building materials with the goal of building more accurate as-built information models of historical structures. User defined functions have been tested within the interactive point cloud visualization framework to evaluate automated and semi-automated classification of 3D point data. These functions include decisions based on observed color, laser intensity, normal vector or local surface geometry. Multiple case studies are presented here to demonstrate the flexibility and utility of the presented point cloud visualization framework to achieve classification objectives.
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Liu, Long, and Yongjian Huai. "Dynamic Hand Gesture Recognition Using LMC for Flower and Plant Interaction." International Journal of Pattern Recognition and Artificial Intelligence 33, no. 01 (October 11, 2018): 1950003. http://dx.doi.org/10.1142/s0218001419500034.
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As the recent novel somatosensory devices become more pervasive, dynamic hand gesture recognition algorithm has attracted substantial research attention and has been widely used in the area of human–computer interaction (HCI). This paper aims to develop low-complexity and real-time solutions of dynamic hand gesture recognition using Leap Motion Controller (LMC) for flower and plant interactive applications. In this paper, we use two LMCs to obtain gesture data from different angles for fusion processing and then propose a novel feature vector, which adapts to representing dynamic hand gestures. After this, an improved Hidden Markov Model (HMM) algorithm was proposed to obtain the final recognition results, in which we apply the Particle Swarm Optimization (PSO) to avoid the complex computation of parameters in conventional HMM, thus improving the recognition performance. The experimental results on test datasets demonstrate that the proposed algorithm can achieve a higher average recognition rate of 96.5% for Leap-Gesture and 97.3% for Manipulation-Gesture. In addition, through the experiment of a flower and plant interaction, our dynamic gesture recognition solution can help users realize the interactive operation accurately and efficiently. In contrast to previous studies, our prototype system provides the users with a new dimension of experience and changes the research model of traditional forestry.
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Wagner, Paul Georg, Christian Lengenfelder, Gerrit Holzbach, Maximilian Becker, Pascal Birnstill, Michael Voit, Ali Bejhad, Tim Samorei, and Jürgen Beyerer. "Secure and Privacy-Respecting Documentation for Interactive Manufacturing and Quality Assurance." Applied Sciences 11, no. 16 (August 10, 2021): 7339. http://dx.doi.org/10.3390/app11167339.
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The automated documentation of work steps is a requirement of many modern manufacturing processes. Especially when it comes to important procedures such as safety critical screw connections or weld seams, the correct and complete execution of certain manufacturing steps needs to be properly supervised, e.g., by capturing video snippets of the worker to be checked in hindsight. Without proper technical and organizational safeguards, such documentation data carries the potential for covert performance monitoring to the disadvantage of employees. Naïve documentation architectures interfere with data protection requirements, and thus cannot expect acceptance of employees. In this paper we outline use cases for automated documentation and describe an exemplary system architecture of a workflow recognition and documentation system. We derive privacy protection goals that we address with a suitable security architecture based on hybrid encryption, secret-sharing among multiple parties and remote attestation of the system to prevent manipulation. We finally contribute an outlook towards problems and possible solutions with regards to information that can leak through accessible metadata and with regard to more modular system architectures, where more sophisticated remote attestation approaches are needed to ensure the integrity of distributed components.
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Butterworth, Erik, Bartholomew E. Jardine, Gary M. Raymond, Maxwell L. Neal, and James B. Bassingthwaighte. "JSim, an open-source modeling system for data analysis." F1000Research 2 (December 30, 2013): 288. http://dx.doi.org/10.12688/f1000research.2-288.v1.
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JSim is a simulation system for developing models, designing experiments, and evaluating hypotheses on physiological and pharmacological systems through the testing of model solutions against data. It is designed for interactive, iterative manipulation of the model code, handling of multiple data sets and parameter sets, and for making comparisons among different models running simultaneously or separately. Interactive use is supported by a large collection of graphical user interfaces for model writing and compilation diagnostics, defining input functions, model runs, selection of algorithms solving ordinary and partial differential equations, run-time multidimensional graphics, parameter optimization (8 methods), sensitivity analysis, and Monte Carlo simulation for defining confidence ranges. JSim uses Mathematical Modeling Language (MML) a declarative syntax specifying algebraic and differential equations. Imperative constructs written in other languages (MATLAB, FORTRAN, C++, etc.) are accessed through procedure calls. MML syntax is simple, basically defining the parameters and variables, then writing the equations in a straightforward, easily read and understood mathematical form. This makes JSim good for teaching modeling as well as for model analysis for research. For high throughput applications, JSim can be run as a batch job. JSim can automatically translate models from the repositories for Systems Biology Markup Language (SBML) and CellML models. Stochastic modeling is supported. MML supports assigning physical units to constants and variables and automates checking dimensional balance as the first step in verification testing. Automatic unit scaling follows, e.g. seconds to minutes, if needed. The JSim Project File sets a standard for reproducible modeling analysis: it includes in one file everything for analyzing a set of experiments: the data, the models, the data fitting, and evaluation of parameter confidence ranges. JSim is open source; it and about 400 human readable open source physiological/biophysical models are available at http://www.physiome.org/jsim/.
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Butterworth, Erik, Bartholomew E. Jardine, Gary M. Raymond, Maxwell L. Neal, and James B. Bassingthwaighte. "JSim, an open-source modeling system for data analysis." F1000Research 2 (May 12, 2014): 288. http://dx.doi.org/10.12688/f1000research.2-288.v2.
Full textAbstract:
JSim is a simulation system for developing models, designing experiments, and evaluating hypotheses on physiological and pharmacological systems through the testing of model solutions against data. It is designed for interactive, iterative manipulation of the model code, handling of multiple data sets and parameter sets, and for making comparisons among different models running simultaneously or separately. Interactive use is supported by a large collection of graphical user interfaces for model writing and compilation diagnostics, defining input functions, model runs, selection of algorithms solving ordinary and partial differential equations, run-time multidimensional graphics, parameter optimization (8 methods), sensitivity analysis, and Monte Carlo simulation for defining confidence ranges. JSim uses Mathematical Modeling Language (MML) a declarative syntax specifying algebraic and differential equations. Imperative constructs written in other languages (MATLAB, FORTRAN, C++, etc.) are accessed through procedure calls. MML syntax is simple, basically defining the parameters and variables, then writing the equations in a straightforward, easily read and understood mathematical form. This makes JSim good for teaching modeling as well as for model analysis for research. For high throughput applications, JSim can be run as a batch job. JSim can automatically translate models from the repositories for Systems Biology Markup Language (SBML) and CellML models. Stochastic modeling is supported. MML supports assigning physical units to constants and variables and automates checking dimensional balance as the first step in verification testing. Automatic unit scaling follows, e.g. seconds to minutes, if needed. The JSim Project File sets a standard for reproducible modeling analysis: it includes in one file everything for analyzing a set of experiments: the data, the models, the data fitting, and evaluation of parameter confidence ranges. JSim is open source; it and about 400 human readable open source physiological/biophysical models are available at http://www.physiome.org/jsim/.
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Butterworth, Erik, Bartholomew E. Jardine, Gary M. Raymond, Maxwell L. Neal, and James B. Bassingthwaighte. "JSim, an open-source modeling system for data analysis." F1000Research 2 (July 1, 2014): 288. http://dx.doi.org/10.12688/f1000research.2-288.v3.
Full textAbstract:
JSim is a simulation system for developing models, designing experiments, and evaluating hypotheses on physiological and pharmacological systems through the testing of model solutions against data. It is designed for interactive, iterative manipulation of the model code, handling of multiple data sets and parameter sets, and for making comparisons among different models running simultaneously or separately. Interactive use is supported by a large collection of graphical user interfaces for model writing and compilation diagnostics, defining input functions, model runs, selection of algorithms solving ordinary and partial differential equations, run-time multidimensional graphics, parameter optimization (8 methods), sensitivity analysis, and Monte Carlo simulation for defining confidence ranges. JSim uses Mathematical Modeling Language (MML) a declarative syntax specifying algebraic and differential equations. Imperative constructs written in other languages (MATLAB, FORTRAN, C++, etc.) are accessed through procedure calls. MML syntax is simple, basically defining the parameters and variables, then writing the equations in a straightforward, easily read and understood mathematical form. This makes JSim good for teaching modeling as well as for model analysis for research. For high throughput applications, JSim can be run as a batch job. JSim can automatically translate models from the repositories for Systems Biology Markup Language (SBML) and CellML models. Stochastic modeling is supported. MML supports assigning physical units to constants and variables and automates checking dimensional balance as the first step in verification testing. Automatic unit scaling follows, e.g. seconds to minutes, if needed. The JSim Project File sets a standard for reproducible modeling analysis: it includes in one file everything for analyzing a set of experiments: the data, the models, the data fitting, and evaluation of parameter confidence ranges. JSim is open source; it and about 400 human readable open source physiological/biophysical models are available athttp://www.physiome.org/jsim/.
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Rosenthal, KM, CR Ahern, and RS Cormack. "WARIS - a computer based storage and retrieval system for soils and related data." Soil Research 24, no. 4 (1986): 441. http://dx.doi.org/10.1071/sr9860441.
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An interactive computer system for the storage, retrieval and manipulation of soil profile data is described. The input data to the system can be in any format designated by the user provided it satisfies a few simple guidelines. The system is flexible enough to answer a wide range of user enquiries. Over the years it has developed into a general-purpose resource information system for processing 'point and profile' data which is economical and easy to use. It is particularly suitable for soil, vegetation and land resource surveys, as it can easily handle data for a number of depths per site. The programs can be used to retrieve, sort, manipulate and decode morphological data recorded according to the Australian Soil and Land Survey Field Handbook. These profile data can be linked to laboratory data and displayed either as a complete decoded description for each site, or as tables, graphs, and frequency distributions of selected characteristics by soil groups or mapping units. All programs are written in Fortran-77 and hence are reasonably easy to port to other computers.
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Zavlavsky, Ilya. "A New Technology for Interactive Online Mapping with Vector Markup and XML." Cartographic Perspectives, no. 37 (September 1, 2000): 65–77. http://dx.doi.org/10.14714/cp37.810.
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As Internet cartography matures from static map images to interactive and animated maps, and embraces extensive GIS functionality, the limitations of presenting Web maps as image files become obvious. In this paper, a new technology for Internet cartography is demonstrated that uses direct vector rendering in a browser to create highly interactive virtual maps from distributed sources of geographic data. This technology is made possible by the advent of XML (eXtensible Markup Language) and XML applications for 2D vector rendering such as VML (Vector Markup Language) and SVG (Scalable Vector Graphics). AXIOMAP – Application of XML for Interactive Online Mapping – is a Web map publishing kit and a customizable virtual map interface that allows for the display and manipulation of multiple point, line and area layers, database query, choropleth mapping, hyperlinking, map labeling and annotation. To render maps in a Web browser (Internet Explorer 5, in the current version), AXIOMAP generates VML shapes “on the fly” from XML-encoded geographic data that can physically reside on different servers. A thin client-side solution, AXIOMAP provides for better interactivity than traditional map serverbased approaches. The paper explains the functionality of AXIOMAP, the technology behind it, and presents several applications. A free version of the software can be downloaded from www.elzaresearch.com/landv/.
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Dong, Xiaojuan, Weiming Zhang, Xianjun Hu, and Keyang Liu. "A Cloud-User Watermarking Protocol Protecting the Right to Be Forgotten for the Outsourced Plain Images." International Journal of Digital Crime and Forensics 10, no. 4 (October 2018): 118–39. http://dx.doi.org/10.4018/ijdcf.2018100109.
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This article describes how cloud storage dramatically benefits people in freeing up their local storage space, while bringing the separation of the data ownership and private manipulation. Hence, it is difficult for the cloud user to make sure that the cloud storage provider (CSP) has obeyed the request of deletion to remove all corresponding data. To solve the issue technically, this article proposes an interactive cloud-user watermarking protocol (CUW) based on the homomorphic encryption. To meet security requirements, the encrypted watermark is embedded into encrypted data. Moreover, to enjoy the convenient cloud services, the uploaded data is eventually stored in the cloud server in the form of plain text. The performance of the CUW protocol is evaluated through a prototype implementation.
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Xu, Xiujun, Zhen Li, Liquan Wang, Shaoming Yao, and Xiaoming Fang. "Interactive Visual Reality of the Offshore Hoisting Operation and Numerical Modeling." International Journal of Pattern Recognition and Artificial Intelligence 32, no. 08 (April 8, 2018): 1855012. http://dx.doi.org/10.1142/s0218001418550121.
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To establish an accurate real-time visual reality system for offshore hoisting operations, the “Offshore Oil 201” crane ship was employed as a background, and a mathematical model for hoisting operations was created with regard to the influence of ocean environment, the dynamic positioning system of the crane ship, the ballasting system based on the ship’s six degree of freedom (DOF) real-time feedback, and the manipulation of the control system. An interactive three-dimensional virtual scene was constructed with the virtual reality technique, multi-channel data interaction, real-time numerical calculation, and semi-physical simulation in order to realize the immersive feeling of the scenes. Bliss approximate integration was used to solve the mathematical model of the hoisting system and the real-time data interaction of the simulation system was realized on the basis of the accurate solution. The simulation results show that the simulation system can solve the time response of the hoisting system with good calculation accuracy. The preview of the construction project of the offshore hoisting operation can be implemented by the simulation system to investigate the key parameters and hoisting process, which will effectively reduce the risk of offshore hoisting operations and enhance the safety of the offshore engineering operations. The problem of high cost of staffs’ training has been solved, and the simulation system has both accuracy and instantaneity, the whole process of offshore hoisting is demonstrated with the highest authenticity.
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Leonidis, Asterios, Maria Korozi, Georgios Nikitakis, Anastasia Ntagianta, Antonis Dimopoulos, Emmanouil Zidianakis, Eleni Stefanidi, and Margherita Antona. "CognitOS Board: A Wall-Sized Board to Support Presentations in Intelligent Environments." Technologies 8, no. 4 (November 8, 2020): 66. http://dx.doi.org/10.3390/technologies8040066.
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The proliferation of Internet of Things devices and services and their integration in everyday environments led to the emergence of intelligent offices, classrooms, conference, and meeting rooms that adhere to the paradigm of Ambient Intelligence. Usually, the type of activities performed in such environments (i.e., presentations and lectures) can be enhanced by the use of large Interactive Boards that—among others—allow access to digital content, promote collaboration, enhance the process of exchanging ideas, and increase the engagement of the audience. Additionally, the board contents are expected to be plenty, in terms of quantity, and diverse, in terms of type (e.g., textual data, pictorial data, multimedia, figures, and charts), which unavoidably makes their manipulation over a large display tiring and cumbersome, especially when the interaction lasts for a considerable amount of time (e.g., during a class hour). Acknowledging both the shortcomings and potentials of Interactive Boards in intelligent conference rooms, meeting rooms, and classrooms, this work introduces a sophisticated framework named CognitOS Board, which takes advantage of (i) the intelligent facilities offered by the environment and (ii) the amenities offered by wall-to-wall displays, in order to enhance presentation-related activities. In this article, we describe the design process of CognitOS Board, elaborate on the available functionality, and discuss the results of a user-based evaluation study.