Enhanced Dynamic Queries via Movable Filters. - Ken Fishkin, Maureen C. Stone. Magic Lens. Starfield Display (interactive filtering, zooming) + Movable Filter (multiple simultaneous queries). Advantages. Boolean Querying Magnification while maintaining global contextBy fraley
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https://zoomcharts.com/en/gallery/all:node-filter ZoomCharts’ advanced data visualization software makes viewing and analyzing your data easier than ever before. The Node Filtering tool features an easy to use slider that lets you view exactly the data you need while temporarily hiding others based on the filtering options of your choice. ZoomCharts’ Interactive Node Filtering feature is currently being used to enhance data visualization in a number of educational fields, including sciences and mathematics, such as anatomy, biochemistry, ecology, microbiology, nutrition, neuroscience, physiology, zoology, chemical engineering, geochemistry, molecular biology, geology, paleontology, physics, astronomy, algebra, computer science, geometry, logic, and statistics, and the arts such as, music, dance, theatre, film, animation, architecture, applied arts, photography, graphic design, interior design, and mixed media. - Customize your graph to view exactly what you want - Filter and view data easily using a slider - Change node display with simple drag and drop Step 1 Use the slider to filter the data you want displayed. Step 2 Drag and drop nodes to rearrange the graph. Step 3 Zoom in and out of the graph by swiping up or down with your mouse scroll pad. Step 4 Move the slider points back to the ends to display full data set. Check out ZoomCharts products: Network Chart Big network exploration Explore linked data sets. Highlight relevant data with dynamic filters and visual styles. Incremental data loading. Exploration with focus nodes. Time Chart Time navigation and exploration tool Browse activity logs, select time ranges. Multiple data series and value axes. Switch between time units. Pie Chart Amazingly intuitive hierarchical data exploration Get quick overview of your data and drill down when necessary. All in a single easy to use chart. Facet Chart Scrollable bar chart with drill-down Compare values side by side and provide easy access to the long tail.
Basis beeldverwerking (8D040) d r. Andrea Fuster dr . Anna Vilanova Prof.dr.ir . Marcel Breeuwer. Filtering. Contents. Sharpening Spatial Filters 1 st order derivatives 2 nd order derivatives Laplacian Gaussian derivatives Laplacian of Gaussian ( LoG ) Unsharp masking.
Filtering. CSE P 576 Larry Zitnick (firstname.lastname@example.org). What do computers see?. Images can be viewed as a 2D function. Image filtering. Linear filtering = Applying a local function to the image using a sum of weighted neighboring pixels. Such as blurring:. =. *. Input image.
Cycle computer. Cycle computer. 1,5v. 1,5v. Rb. TTL Data out. Filtering. 433MHz receiver. Regulator 5V. antenna. AUREL RX-4M50RR30SF. 2, 7, 11 to ground 3 Antenna 10,15 to +5V 13 Test 14 Data out. Transistor in Commutation. Rc. 2n2222A NPN bipol.
Basis beeldverwerking (8D040) d r. Andrea Fuster Prof.dr . Bart ter Haar Romeny dr. Anna Vilanova Prof.dr.ir . Marcel Breeuwer. Filtering. Contents. Sharpening Spatial Filters 1 st order derivatives 2 nd order derivatives Laplacian Gaussian derivatives
Outline. Why filter?Filtering for GraphicsSampling and ReconstructionConvolutionThe Fourier TransformOverview of common filters. Why Filter?. Anti-aliasingSignal reconstructionRemove frequenciesRemove which frequencies?Low-pass filter: removes high frequencies (blurring)High-pass filter:
Filtering . MDP. Safety and Safety Gear. When filtering from a fermentation vessel you should never use carbon dioxide to push the beer through the filter, this can cause a potentially serious safety issue, instead use the pump to push the beer through the filter. Sanitized rubber gloves