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Journal of technology, Management, and Applied Engineering 2023年第4期39卷 1-18页

作者： Dharavath, Haji Naik Program Coordinator for the BS degree in Graphics Technology Department of Computer Electronics & Graphics Technology Central Connecticut State University New BritainCT06050 United States

The purpose of this applied research was to apply the statistical process control (SPC) to determine the digital color output conformity to ISO12647-7 standards in a color managed digital printing workflow (CMDPW) over a period of 100 days (N = 100). The quality of digital color printing is determined by these influential factors: screening method applied, type of printing process, calibration method, device profile, ink (dry toner or liquid toner), printer resolution, and the substrate (paper). For this research, only the color printing attribute overall average color deviation (ACD;ΔE(2000)) was analyzed to examine the CMDPW process consistency in a day-to-day digital printing operation. Printed colors from the random sample size (n= 80) were measured against the General Requirement for the Applications in the Commercial Offset Lithography (GRACoL 2013) standards to derive the colorimetric/ densitometric values. Reference colorimetric values used in the analysis were the threshold deviations (acceptable color deviations) as outlined in the ISO12647-7 standards (GRACoL 2013). A control chart analysis was applied for further determining the process (CMDPW) ACD variation. The data collected were run through multiple software applications (Microsoft Excel/SPSS/Minitab) to apply various statistical methods. Analyzed data from the experiment revealed that the printed colorimetric values were in match (aligned) with the GRACoL 2013 (reference/target) standards. Since the color values were in control throughout the process, this enabled the CMDPW to produce consistent acceptable color deviation (average printed ΔE(2000) = 2.978). (The acceptable threshold color deviation is ΔE(2000) ≤ 3.00.) © 2023 The Author(s). This is an open access article published under a Creative Commons Attribution 4.0 International License (https://***/licenses/by/4.0).

关键词： Colorimetry

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Hybrid online autotuning for parallel ray tracing

Hybrid online autotuning for parallel ray tracing

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19th Eurographics Symposium on Parallel graphics and Visualization, EGPGV 2019

作者： Herveau, K. Pfaffe, P. Tillmann, M. Tichy, W.F. Dachsbacher, C. Computer Graphics Group Karlsruhe Institute of Technology Germany Institute for Program Structures and Data Organization Karlsruhe Institute of Technology Germany

ISBN: (纸本)9783038680796

Acceleration structures are key to high performance parallel ray tracing. Maximizing performance requires configuring the degrees of freedom (e.g., construction parameters) these data structures expose. Whether a parameter setting is optimal depends on the input (e.g., the scene and view parameters) and hardware. Manual selection is tedious, error prone, and is not portable. To automate the parameter selection task we use a hybrid of model-based prediction and online autotuning. The combination benefits from the best of both worlds: One-shot configuration selection when inputs are known or similar, effective exploration of the configuration space otherwise. Online tuning additionally serves to train the model on real inputs without requiring a-priori training samples. Online autotuning outperforms best-practice configurations recommended by the literature, by up to 11% median. The model predictions achieve 95% of the online autotuning performance while reducing 90% of the autotuner overhead. Hybrid online autotuning thus enables always-on tuning of parallel ray tracing. © 2019 Eurographics Association. All rights reserved.

关键词： Ray tracing

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Comparative cellular analysis of motor cortex in human, marmoset and mouse (vol 598, pg 111, 2021)

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NATURE 2022年第7904期604卷 E8-E8页

作者： Bakken, Trygve E. Jorstad, Nikolas L. Hu, Qiwen Lake, Blue B. Tian, Wei Kalmbach, Brian E. Crow, Megan Hodge, Rebecca D. Krienen, Fenna M. Sorensen, Staci A. Eggermont, Jeroen Yao, Zizhen Aevermann, Brian D. Aldridge, Andrew I. Bartlett, Anna Bertagnolli, Darren Casper, Tamara Castanon, Rosa G. Crichton, Kirsten Daigle, Tanya L. Dalley, Rachel Dee, Nick Dembrow, Nikolai Diep, Dinh Ding, Song-Lin Dong, Weixiu Fang, Rongxin Fischer, Stephan Goldman, Melissa Goldy, Jeff Graybuck, Lucas T. Herb, Brian R. Hou, Xiaomeng Kancherla, Jayaram Kroll, Matthew Lathia, Kanan van Lew, Baldur Li, Yang Eric Liu, Christine S. Liu, Hanqing Lucero, Jacinta D. Mahurkar, Anup McMillen, Delissa Miller, Jeremy A. Moussa, Marmar Nery, Joseph R. Nicovich, Philip R. Niu, Sheng-Yong Orvis, Joshua Osteen, Julia K. Owen, Scott Palmer, Carter R. Pham, Thanh Plongthongkum, Nongluk Poirion, Olivier Reed, Nora M. Rimorin, Christine Rivkin, Angeline Romanow, William J. Sedeno-Cortes, Adriana E. Siletti, Kimberly Somasundaram, Saroja Sulc, Josef Tieu, Michael Torkelson, Amy Tung, Herman Wang, Xinxin Xie, Fangming Yanny, Anna Marie Zhang, Renee Ament, Seth A. Behrens, M. Margarita Bravo, Hector Corrada Chun, Jerold Dobin, Alexander Gillis, Jesse Hertzano, Ronna Hof, Patrick R. Hollt, Thomas Horwitz, Gregory D. Keene, C. Dirk Kharchenko, Peter V. Ko, Andrew L. Lelieveldt, Boudewijn P. Luo, Chongyuan Mukamel, Eran A. Pinto-Duarte, Antonio Preiss, Sebastian Regev, Aviv Ren, Bing Scheuermann, Richard H. Smith, Kimberly Spain, William J. White, Owen R. Koch, Christof Hawrylycz, Michael Tasic, Bosiljka Macosko, Evan Z. McCarroll, Steven A. Ting, Jonathan T. Zeng, Hongkui Zhang, Kun Feng, Guoping Ecker, Joseph R. Linnarsson, Sten Lein, Ed S. Allen Institute for Brain Science Seattle WA USA Department of Physiology and Biophysics University of Washington Seattle WA USA Department of Biomedical Informatics Harvard Medical School Boston MA USA Department of Bioengineering University of California San Diego La Jolla CA USA The Salk Institute for Biological Studies La Jolla CA USA Epilepsy Center of Excellence Department of Veterans Affairs Medical Center Seattle WA USA Stanley Institute for Cognitive Genomics Cold Spring Harbor Laboratory Cold Spring Harbor NY USA Department of Genetics Harvard Medical School Boston MA USA Broad Institute of MIT and Harvard Cambridge MA USA LKEB Department of Radiology Leiden University Medical Center Leiden The Netherlands Pattern Recognition and Bioinformatics group Delft University of Technology Delft The Netherlands J. Craig Venter Institute La Jolla CA USA Department of Pathology University of California San Diego CA USA Division of Vaccine Discovery La Jolla Institute for Immunology La Jolla CA USA Genomic Analysis Laboratory The Salk Institute for Biological Studies La Jolla CA USA Computer Science and Engineering Program University of California San Diego La Jolla CA USA Howard Hughes Medical Institute The Salk Institute for Biological Studies La Jolla CA USA Bioinformatics and Systems Biology Graduate Program University of California San Diego La Jolla CA USA Institute for Genomes Sciences University of Maryland School of Medicine Baltimore MD USA Center for Epigenomics Department of Cellular and Molecular Medicine University of California San Diego La Jolla CA USA Ludwig Institute for Cancer Research La Jolla CA USA Department of Computer Science University of Maryland College Park College Park MD USA Sanford Burnham Prebys Medical Discovery Institute La Jolla CA USA Biomedical Sciences Program School of Medicine University of California San Diego La Jolla CA USA University of Connecticut Storrs CT USA Department

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Supporting student attainment and management of competencies in a trans-disciplinary degree program 123

Supporting student attainment and management of competencies...

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123rd ASEE Annual Conference and Exposition

作者： Van Epps, Amy S. Ashby, Iryna Gray, Colin M. Exter, Marisa Purdue University Department of Library Science and Engineering Librarian West Lafayette United States Purdue University Learning Design and Technology Program West Lafayette United States Purdue University Department of Computer Graphics Technology West Lafayette United States Department of Learning Design and Technology College of Education Purdue University West Lafayette United States

In Fall 2014, a large Midwestern land-grant research university piloted a competency-based model as the foundation for an undergraduate transdisciplinary program focusing on connecting engineering and technology with humanities and social sciences. Students enrolled in this program progress through a set of competencies that require them to master cross-disciplinary and cross-functional skills needed to be successful in a 21stcentury workplace. Now in its second year, the competency-based program has undergone significant changes that include a more substantial definition of competencies at each of the three levels of competence (developing, emerging, and proficient), scaffolding needed to support students on their path towards gaining competencies, and significant mentoring by faculty, TAs, and professional advisers to support competency attainment. In this paper, we will share challenges and discoveries made by the faculty throughout the first two years of the novel Competency-Based Education (CBE) experience, including a reflection on how such experiences impacted modifications of the CBE model from Year 1 to Year 2, the ways in which the program supported individual attainment and management of competencies by students, and the value of the mentorship program in supporting student-driven learning paths. We will also share insights into students' perceptions of the benefits, challenges, and frustrations of being part of this pilot program based on interview and survey data provided by the 33 members of the initial cohort. This overview of the ways this program supported students in attaining competencies through coursework, individual mentoring, and scaffolding may be instructive as institutions seek to bring CBE to scale and increase holistic student learning for the 21stcentury. © American Society for Engineering Education, 2016.

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Edit Propagation via Edge-Aware Filtering

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Journal of computer Science & technology 2012年第4期27卷 830-840页

作者：胡伟董朝袁国栋 Department of Computer Science and Technology Beijing University of Chemical Technology Program of Computer Graphics Cornell University Department of Computer Science and Technology Tsinghua University

This paper presents a novel framework for efficiently propagating the stroke-based user edits to the regions with similar colors and locations in high resolution images and videos. Our framework is based on the key observation that the edit propagation intrinsically can also be achieved by utilizing recently proposed edge-preserving filters. Therefore, instead of adopting the traditional global optimization which may involve a time-consuming solution, our algorithm propagates edits with the aid of the edge-preserve filters. Such a propagation scheme has low computational complexity and supports multiple kinds of strokes for more flexible user interactions. Further, our method can be easily and efficiently implemented in GPU. The experimental results demonstrate the efficiency and user-friendliness of our approach.

关键词： edit propagation edge-aware domain transform guided filter

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Edit propagation via edge-aware filtering

Edit propagation via edge-aware filtering

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作者： Hu, Wei Dong, Zhao Yuan, Guo-Dong Department of Computer Science and Technology Beijing University of Chemical Technology Beijing 100028 China Program of Computer Graphics Cornell University Ithaca 14853 United States Department of Computer Science and Technology Tsinghua University Beijing 100084 China

关键词： Global optimization

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Kelvin probe force microscopy: Measurement data reconstruction

Kelvin probe force microscopy: Measurement data reconstructi...

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Scanning Microscopy 2009

作者： Machleidt, Torsten Sparrer, Erik Kubertschak, Tim Nestler, Rico Frankea, Karl-Heinz Ilmenau University of Technology Department of Computer Graphics Program P.O. Box 100565 D-98684 Ilmenau Germany Zentrum für Bild- und Signalverarbeitung e.V. Gustav-Kirchhoff-Str. 5 D-98693 Ilmenau Germany

ISBN: (纸本)9780819476548

The Kelvin Probe Force Microscopy (KPFM) is a method to detect the surface potential of micro- and nanostructured samples using a common Scanning Probe Microscope (SPM). The electrostatic force has a very long range compared to other surface forces. By using SPM systems the KPFM measurements are performed in the noncontact region at surface distances greater than 10 nm. In contrast to topography measurement, the measured data is blurred. The KPFM signal can be described as a convolution of an effective surface potential and a microscope intrinsic point spread function, which allows the restoration of the measured data by deconvolution. This paper deals with methods to deconvolute the measured KPFM data with the objective to increase the lateral resolution. An analytical and a practical way of obtaining the point spread function of the microscope was compared. In contrast to other papers a modern DoF-restricted deconvolution algorithm is applied to the measured data. The new method was demonstrated on a anoscale test stripe pattern for lateral resolution and calibration of length scales (BAM-L200) made by German Federal Istitute for Materials Research and Testing. © 2009 SPIE.

关键词： Optical transfer function

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Visual equivalence: An object-based approach to image quality

Visual equivalence: An object-based approach to image qualit...

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16th Color Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications

作者： Ferwerda, James A. Ramanarayanan, Ganesh Walter, Bruce Bala, Kavita Munsell Color Science Laboratory Center for Imaging Science Rochester Institute of Technology Rochester NY United States Department of Computer Science Cornell University Ithaca NY United States Program of Computer Graphics Cornell University Ithaca NY United States

ISBN: (纸本)9780892082810

In this paper we introduce a new approach to characterizing image quality: visual equivalence, Images are visually equivalent if they convey the same information about object appearance even if they are visibly different. In a series of psychophysical experiments we explore how object geometry, material, and illumination interact to produce images that are visually equivalent, and we identify how two kinds of transformations on illumination fields (blurring and warping) influence observers' judgments of equivalence. We use the results of the experiments to derive metrics that can serve as visual equivalence predictors (VEPs) and we generalize these metrics so they can be applied to novel objects and scenes. Finally we validate the predictors in a confirmatory study, and show that they reliably predict observer's judgments of equivalence. Visual equivalence is a significant new approach to measuring image quality that goes beyond existing visible difference metrics by leveraging the fact that some kinds of image differences do not matter to human observers. By taking advantage of higher order aspects of visual object coding, visual equivalence metrics should enable the development of powerful new classes of image capture, compression, rendering, and display algorithms.

关键词： Image quality

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Fast lane detection with Randomized Hough Transform

Fast lane detection with Randomized Hough Transform

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International Symposium on Information technology, ITSim

作者： Azali Saudi Jason Teo Mohd Hanafi Ahmad Hijazi Jumat Sulaiman Centre for Artificial Intelligence Computer Science Program School of Engineering & Information Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia Computer Graphics Program School of Science & Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia

Lane detection is an essential component of autonomous mobile robot applications. Any lane detection method has to deal with the varying conditions of the lane and surrounding that the robot would encounter while moving. Lane detection procedure can provide estimates for the position and orientation of the robot within the lane and also can provide a reference system for locating other obstacles in the path of the robot. In this paper we present a method for lane detection in video frames of a camera mounted on top of the mobile robot. Given video input from the camera, the gradient of the current lane in the near field of view are automatically detected. Randomized Hough Transform is used for extracting parametric curves from the images acquired. A priori knowledge of the lane position is assumed for better accuracy of lane detection.

关键词： Transforms Roads Pixel Robustness Image edge detection Vehicles Equations

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Microfacet Models for Refraction through Rough Surfaces

Microfacet Models for Refraction through Rough Surfaces

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18th Eurographics Symposium on Rendering Techniques, EGSR 2007

作者： Walter, Bruce Marschner, Stephen R. Li, Hongsong Torrance, Kenneth E. Program of Computer Graphics Cornell University United States Beijing Institute of Technology China

ISBN: (纸本)9783905673524

Microfacet models have proven very successful for modeling light reflection from rough surfaces. In this paper we review microfacet theory and demonstrate how it can be extended to simulate transmission through rough surfaces such as etched glass. We compare the resulting transmission model to measured data from several real surfaces and discuss appropriate choices for the microfacet distribution and shadowing-masking functions. Since rendering transmission through media requires tracking light that crosses at least two interfaces, good importance sampling is a practical necessity. Therefore, we also describe efficient schemes for sampling the microfacet models and the corresponding probability density functions. © The Eurographics Association 2007.

关键词： Light reflection

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