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Articles 1 - 14 of 14
Full-Text Articles in Physical Sciences and Mathematics
Digitizing Delphi: Educating Audiences Through Virtual Reconstruction, Kate Koury
Digitizing Delphi: Educating Audiences Through Virtual Reconstruction, Kate Koury
The Journal of Purdue Undergraduate Research
Implementing a 3D model into a virtual space allows the general public to engage critically with archaeological processes. There are many unseen decisions that go into reconstructing an ancient temple. Analysis of available materials and techniques, predictions of how objects were used, decisions of what sources to reference, puzzle piecing broken remains together, and even educated guesses used to fill gaps in information often go unobserved by the public. This work will educate users about those choices by allowing the side-by-side comparison of conflicting theories on the reconstruction of the Tholos at Delphi, which is an ideal site because of …
Closing The Gap: Leveraging Aes-Ni To Balance Adversarial Advantage And Honest User Performance In Argon2i, Nicholas Harrell, Nathaniel Krakauer
Closing The Gap: Leveraging Aes-Ni To Balance Adversarial Advantage And Honest User Performance In Argon2i, Nicholas Harrell, Nathaniel Krakauer
CERIAS Technical Reports
The challenge of providing data privacy and integrity while maintaining efficient performance for honest users is a persistent concern in cryptography. Attackers exploit advances in parallel hardware and custom circuit hardware to gain an advantage over regular users. One such method is the use of Application-Specific Integrated Circuits (ASICs) to optimize key derivation function (KDF) algorithms, giving adversaries a significant advantage in password guessing and recovery attacks. Other examples include using graphical processing units (GPUs) and field programmable gate arrays (FPGAs). We propose a focused approach to close the gap between adversarial advantage and honest user performance by leveraging the …
Reducing Uncertainty In Sea-Level Rise Prediction: A Spatial-Variability-Aware Approach, Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, Aneesh Subramanian
Reducing Uncertainty In Sea-Level Rise Prediction: A Spatial-Variability-Aware Approach, Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, Aneesh Subramanian
I-GUIDE Forum
Given multi-model ensemble climate projections, the goal is to accurately and reliably predict future sea-level rise while lowering the uncertainty. This problem is important because sea-level rise affects millions of people in coastal communities and beyond due to climate change's impacts on polar ice sheets and the ocean. This problem is challenging due to spatial variability and unknowns such as possible tipping points (e.g., collapse of Greenland or West Antarctic ice-shelf), climate feedback loops (e.g., clouds, permafrost thawing), future policy decisions, and human actions. Most existing climate modeling approaches use the same set of weights globally, during either regression or …
A Note From The Co-Editors, Fayth Schutter
A Note From The Co-Editors, Fayth Schutter
Ideas: Exhibit Catalog for the Honors College Visiting Scholars Series
An introduction to the first issue of the third volume of Ideas Magazine, concerning the work and research of Dr. Shoshana Magnet.
Read And Publish: What Can Libraries Expect?, Josh Horowitz
Read And Publish: What Can Libraries Expect?, Josh Horowitz
Charleston Library Conference
The author provides a publisher's perspective on the challenges and opportunities faced by a mid-sized society in navigating the current transition to open access licensing models.
Towards Human Retinal Cones Spatial Distribution Modeling, Matteo Paolo Lanaro, Hélène Perrier, David Coeurjolly, Victor Ostromoukhov, Alessandro Rizzi
Towards Human Retinal Cones Spatial Distribution Modeling, Matteo Paolo Lanaro, Hélène Perrier, David Coeurjolly, Victor Ostromoukhov, Alessandro Rizzi
MODVIS Workshop
No abstract provided.
Teaching Young Learners Computational Thinking, Tingxuan Li, Shengwei An, Xuan Wang, Hengrong Du, Guanhong Tao
Teaching Young Learners Computational Thinking, Tingxuan Li, Shengwei An, Xuan Wang, Hengrong Du, Guanhong Tao
Engagement & Service-Learning Summit
No abstract provided.
Measuring Symmetry In Real-World Scenes Using Derivatives Of The Medial Axis Radius Function, Morteza Rezanejad, John D. Wilder, Kaleem Siddiqi, Sven Dickinson, Allan Jepson, Dirk B. Walther
Measuring Symmetry In Real-World Scenes Using Derivatives Of The Medial Axis Radius Function, Morteza Rezanejad, John D. Wilder, Kaleem Siddiqi, Sven Dickinson, Allan Jepson, Dirk B. Walther
MODVIS Workshop
Symmetry has been shown to be an important principle that guides the grouping of scene information. Previously, we have described a method for measuring the local, ribbon symmetry content of line-drawings of real-world scenes (Rezanejad, et al., MODVIS 2017), and we demonstrated that this information has important behavioral consequences (Wilder, et al., MODIVS 2017). Here, we describe a continuous, local version of the symmetry measure, that allows for both ribbon and taper symmetry to be captured. Our original method looked at the difference in the radius between successive maximal discs along a symmetric axis. The number of radii differences in …
Parallelization Of Molecular Docking Algorithms Using Cuda For Use In Drug Discovery, Brandon Stewart, Jonathan Fine, Gaurav Chopra Phd
Parallelization Of Molecular Docking Algorithms Using Cuda For Use In Drug Discovery, Brandon Stewart, Jonathan Fine, Gaurav Chopra Phd
The Summer Undergraduate Research Fellowship (SURF) Symposium
Traditional drug discovery methodology uses a multitude of software packages to design and evaluate new drug-like compounds. While software packages implement a wide variety of methods, the serial (i.e. single core) implementation for many of these algorithms, prohibit large scale docking, such as proteome-wide docking (i.e. thousands of compounds with thousands of proteins). Several docking algorithms can be parallelized, significantly reducing the runtime of the calculations, thus enabling large-scale docking. Implementing algorithms that take advantage of the distributed nature of graphical processing units (GPUs) via the Compute Unified Device Architecture (CUDA) enables us to efficiently implement massively parallel algorithms. Two …
Scoring Scene Symmetry, Morteza Rezanejad, John D. Wilder, Sven Dickinson, Allan Jepson, Dirk B. Walther, Kaleem Siddiqi
Scoring Scene Symmetry, Morteza Rezanejad, John D. Wilder, Sven Dickinson, Allan Jepson, Dirk B. Walther, Kaleem Siddiqi
MODVIS Workshop
No abstract provided.
Is Real-Time Mobile Content-Based Image Retrieval Feasible?, Colin G. Graber, Anup Mohan, Yung-Hsiang Lu
Is Real-Time Mobile Content-Based Image Retrieval Feasible?, Colin G. Graber, Anup Mohan, Yung-Hsiang Lu
The Summer Undergraduate Research Fellowship (SURF) Symposium
Content-based image retrieval (CBIR) is a method of searching through a database of images by using another image as a query instead of text. Recent advances in the processing power of smart phones and tablets, collectively known as mobile devices, have prompted researchers to attempt to construct mobile CBIR systems. Most of the research that has been conducted on mobile CBIR has focused on improving either its accuracy or its run-time, but not both simultaneously. We set out to answer the question: is real-time CBIR with manageable accuracy possible on current mobile devices? To find the answer to this question, …
Overview: The Role Of Information Policy In Resolving Global Challenges, Sharon A. Weiner
Overview: The Role Of Information Policy In Resolving Global Challenges, Sharon A. Weiner
Purdue Policy Research Institute (PPRI) Policy Briefs
Governments in many countries recognize the importance of knowledge-based societies whose citizens are adaptable and have the means to engage in continuous learning. Information societies can address global challenges far more readily than those that do not adopt its characteristics of ICTs (information and communication technologies) and connectivity; usable content; infrastructure and deliverability; and human intellectual capability.
Defining Industry Expectations And Misconceptions Of Art And Technology Co-Creativity, Vanessa C. Brasfield
Defining Industry Expectations And Misconceptions Of Art And Technology Co-Creativity, Vanessa C. Brasfield
Department of Computer Graphics Technology Degree Theses
The primary purpose of this study was to establish whether or not students and industry professionals share the same views about what students should be learning in animation education, what skills are necessary, and whether or not students graduating with a bachelor’s degree would be adequately prepared for an entry level position. To establish where misconceptions lie, surveys were issued to three groups: undergraduate students, post-graduate students, and industry professionals. These surveys were then analyzed using paired t-test for validation and question relevance, and ANOVA models to establish whether or not groups shared viewpoints. These data established significance within the …
A Cost-Benefit Analysis Of A Campus Computing Grid, Preston M. Smith
A Cost-Benefit Analysis Of A Campus Computing Grid, Preston M. Smith
Purdue Polytechnic Masters Theses
Any major research institution has a substantial number of computer systems on its campus, often in the scale of tens of thousands. Given that a large amount of scientific computing is appropriate for execution in an opportunistic environment, a campus grid is an inexpensive way to build a powerful computational resource. What is missing, though, is a model for making an informed decision on the cost-effectives of a campus grid. In this thesis, the author describes a model for measuring the costs and benefits of building a campus computing resource based on the institution’s existing investment in computing hardware.
For …