scholarly journals Graphical Visualization of Polling Results

2017 ◽  
Author(s):  
Susanna Makela ◽  
Yajuan Si ◽  
Andrew Gelman
Keyword(s):  
Statistical Modeling ◽  
Graphical Methods ◽  
Raw Data ◽  
Modeling Process ◽  
Graphical Visualization ◽  
Invaluable Tool ◽  
Effective Use ◽  
Survey Construction

This chapter argues that it is wasteful to do a large, expensive poll and then just report a few percentages. Statistical modeling allows researchers to make the most effective use of available data, and graphs make it possible to convey more information more directly, both to general audiences and to specialists. Graphs are an invaluable tool at each step of the modeling process: exploring raw data, building and refining the model, and understanding and communicating the results are all made easier with graphs. In addition, graphical methods can be useful to survey researchers to understand weighting and other aspects of survey construction and analysis. The chapter includes several examples.

scholarly journals Statistical Modeling of Photo-Bending Actuation of Hybrid Silicones Mixed with Azobenzene Powder

Actuators ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 68 ◽  
Author(s):  
Takuya Taniguchi ◽  
Loïc Blanc ◽  
Toru Asahi ◽  
Hideko Koshima ◽  
Pierre Lambert
Keyword(s):  
Light Intensity ◽  
Statistical Modeling ◽  
Light Source ◽  
Analysis Of Variance ◽  
Time Variable ◽  
Soft Robotics ◽  
Responsive Materials ◽  
Modeling Process ◽  
Bending Behavior ◽  
Time Courses

Mechanically responsive materials are promising as next-generation actuators for soft robotics, but have scarce reports on the statistical modeling of the actuation behavior. This research reports on the development and modeling of the photomechanical bending behavior of hybrid silicones mixed with azobenzene powder. The photo-responsive hybrid silicone bends away from the light source upon light irradiation when a thin paper is attached on the hybrid silicone. The time courses of bending behaviors were fitted well with exponential models with a time variable, affording fitting constants at each experimental condition. These fitted parameters were further modeled using the analysis of variance (ANOVA). Cubic models were proposed for both the photo-bending and unbending processes, which were parameterized by the powder ratio and the light intensity. This modeling process allows such photo-responsive materials to be controlled as actuators, and will possibly be effective for engineering mechanically responsive materials.

My Car Is Worth What? Statistical Modeling for Predicting Value

2015 ◽  
Vol 108 (9) ◽  
pp. 700-703
Author(s):  
Cathy G. Schloemer
Keyword(s):  
Student Learning ◽  
Statistical Modeling ◽  
Conceptual Understanding ◽  
Quadratic Functions ◽  
Data Sets ◽  
Percentage Increase ◽  
Raw Data ◽  
Constant Increase ◽  
Verbal Descriptions ◽  
Ordered Pairs

During Algebra 2, students typically study statistical modeling involving linear, exponential, and quadratic functions. Students explore each type of function separately using verbal descriptions, ordered pairs, graphing, and equations. Calculator technology supports and extends student learning as teachers encourage both conceptual understanding of each model (constant increase or decrease, percentage increase or decrease, parabolic increase or decrease) and procedural competence (identifying, calculating, explaining, and using models). After some practice with data sets that are not already labeled as linear, exponential, or quadratic, students move to raw data sets, develop their own models, and justify their choices.

scholarly journals TOWARDS THE AUTOMATIC DETECTION OF GEOSPATIAL CHANGES BASED ON DIGITAL ELEVATION MODELS PRODUCED BY UAV IMAGERY

2019 ◽  
Vol XLII-2/W16 ◽  
pp. 47-53
Author(s):  
T. Bauman ◽  
O. Almog ◽  
S. Dalyot
Keyword(s):  
Change Detection ◽  
High Performance ◽  
Digital Elevation Models ◽  
Detection Methods ◽  
Geospatial Information ◽  
Point Change ◽  
Modeling Process ◽  
Digital Elevation ◽  
Invaluable Tool ◽  
Physical Changes

<p><strong>Abstract.</strong> Reliable and accurate geospatial-databases (Digital Elevation Models, DEMs) are an essential component of Geographic Information Systems (GIS). One of their most important uses is change detection – an invaluable tool for environmental interpretation and evidence-based action. High-performance and inexpensive Unmanned Aerial Vehicles (UAVs) are increasingly used for the acquisition of timely geospatial information (imagery) for the production of DEMs for geospatial change detection. DEMs produced from UAV imagery have very high resolution and very good internal accuracy. However, their absolute location accuracy is inferior to other mapping technologies. Therefore, existing change detection methods, which are based on the point-by-point comparison, will perform poorly when processing DEMs created from UAV imagery since they are limited in reliably separating real physical changes from artifacts related to DEM inherent inaccuracy or errors. This paper presents a novel methodology that overcomes these deficiencies, by implementing a hierarchical analysis and modeling process, in which a sequence of methods is used to automatically identify and match unique homological features, such as building corners or topographic maxima, in the various height models. These provide geospatial anchors that bring out local geospatial discrepancies between the models. Those are then used to "repair" (align) the models to the same geospatial reference system, at which point change-detection is performed. Experimental results showed that when calculating point-by-point height differences, 98.99% of the area was falsely classified as changed, whereas implementing our method adequately detected all the actual changes in the area with no false positives, correctly classifying 0.16% of the area as changed.</p>

Analysis of 3-d molecular distribution with the digital imaging microscope

1988 ◽  
Vol 46 ◽  
pp. 40-41
Author(s):  
W.A. Carrington ◽  
F.S. Fay ◽  
K.E. Fogarty ◽  
L. Lifshitz
Keyword(s):  
Image Restoration ◽  
Digital Imaging ◽  
Fluorescent Dyes ◽  
Optical Axis ◽  
Computer Hardware ◽  
Computer Algorithms ◽  
Low Contrast ◽  
Specific Proteins ◽  
Effective Use ◽  
Single Living Cells

Advances in digital imaging microscopy and in the synthesis of fluorescent dyes allow the determination of 3D distribution of specific proteins, ions, GNA or DNA in single living cells. Effective use of this technology requires a combination of optical and computer hardware and software for image restoration, feature extraction and computer graphics.The digital imaging microscope consists of a conventional epifluorescence microscope with computer controlled focus, excitation and emission wavelength and duration of excitation. Images are recorded with a cooled (-80°C) CCD. 3D images are obtained as a series of optical sections at .25 - .5 μm intervals.A conventional microscope has substantial blurring along its optical axis. Out of focus contributions to a single optical section cause low contrast and flare; details are poorly resolved along the optical axis. We have developed new computer algorithms for reversing these distortions. These image restoration techniques and scanning confocal microscopes yield significantly better images; the results from the two are comparable.

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