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Full-Text Articles in Physical Sciences and Mathematics

An Extensible Geospatial Data Framework (Geoedf) For Fair Science, Carol Song, Rajesh Kalyanam, Lan Zhao Nov 2019

An Extensible Geospatial Data Framework (Geoedf) For Fair Science, Carol Song, Rajesh Kalyanam, Lan Zhao

Purdue GIS Day

The growing urgency in dealing with the 21st century’s grand challenges associated with increasing population, food and water security, frequently occurring natural disasters, and changing climate demands innovative, collaborative, and multidisciplinary solutions for sustainability and resilience. However, scientific data, especially geospatial data, presents significant barriers to the effective access, use and sharing of data as they come in large volumes, from different sources, and with widely varying formats, resolutions, or annotation schemas that can differ among disciplines or even research groups. This presentation describes a recently funded NSF CSSI project to develop an open source, extensible geospatial data framework (GeoEDF), …


Read And Publish: What Can Libraries Expect?, Josh Horowitz Oct 2019

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.


Data Curation Workshop: Tips And Tools For Today, Matthew M. Benzing Oct 2019

Data Curation Workshop: Tips And Tools For Today, Matthew M. Benzing

Charleston Library Conference

The current state of research data is like a disorganized photo collection: a mix of formats scattered across different media without a lot of authority control. That is changing as the need to make data available to researchers across the world is becoming recognized. Researchers know that their data needs to be maintained and made accessible, but often they do not have the time or the inclination to get involved in all of the details. This provides an excellent opportunity for librarians. Data curation is the process of preparing data to be made available in a repository with the goal …


Peppytides, Dave Zwicky May 2019

Peppytides, Dave Zwicky

2019 Symposium on Electronic Theses and Dissertations

Lightning talk for Symposium on Electronic Theses and Dissertations (ETD) at Purdue University on May 23, 2019.


Smiler: Consistent And Usable Saliency Model Implementations, Toni Kunic, Calden Wloka, John K. Tsotsos May 2019

Smiler: Consistent And Usable Saliency Model Implementations, Toni Kunic, Calden Wloka, John K. Tsotsos

MODVIS Workshop

The Saliency Model Implementation Library for Experimental Research (SMILER) is a new software package which provides an open, standardized, and extensible framework for maintaining and executing computational saliency models. This work drastically reduces the human effort required to apply saliency algorithms to new tasks and datasets, while also ensuring consistency and procedural correctness for results and conclusions produced by different parties. At its launch SMILER already includes twenty three saliency models (fourteen models based in MATLAB and nine supported through containerization), and the open design of SMILER encourages this number to grow with future contributions from the community. The project …


Is The Selective Tuning Model Of Visual Attention Still Relevant?, John K. Tsotsos May 2019

Is The Selective Tuning Model Of Visual Attention Still Relevant?, John K. Tsotsos

MODVIS Workshop

No abstract provided.


The Fluid Representations Of Networks Estimating Liquid Viscosity, Jan Jaap R. Van Assen, Shin'ya Nishida, Roland W. Fleming May 2019

The Fluid Representations Of Networks Estimating Liquid Viscosity, Jan Jaap R. Van Assen, Shin'ya Nishida, Roland W. Fleming

MODVIS Workshop

No abstract provided.


Towards Human Retinal Cones Spatial Distribution Modeling, Matteo Paolo Lanaro, Hélène Perrier, David Coeurjolly, Victor Ostromoukhov, Alessandro Rizzi May 2019

Towards Human Retinal Cones Spatial Distribution Modeling, Matteo Paolo Lanaro, Hélène Perrier, David Coeurjolly, Victor Ostromoukhov, Alessandro Rizzi

MODVIS Workshop

No abstract provided.


Recovering Depth From Stereo Without Using Any Oculomotor Information, Tadamasa Sawada May 2019

Recovering Depth From Stereo Without Using Any Oculomotor Information, Tadamasa Sawada

MODVIS Workshop

The human visual system uses binocular disparity to perceive depth within 3D scenes. It is commonly assumed that the visual system needs oculomotor information about the relative orientation of the two eyes to perceive depth on the basis of binocular disparity. The necessary oculomotor information can be obtained from an efference copy of the oculomotor signals, or from a 2D distribution of the vertical disparity, specifically, from the vertical component of binocular disparity. It is known that oculomotor information from the efference copy and from the vertical disparity distribution can affect the perception of depth based on binocular disparity. But, …


Urban Underground Infrastructure Monitoring Iot: The Path Loss Analysis, Abdul Salam, Syed Shah Apr 2019

Urban Underground Infrastructure Monitoring Iot: The Path Loss Analysis, Abdul Salam, Syed Shah

Faculty Publications

The extra quantities of wastewater entering the pipes can cause backups that result in sanitary sewer overflows. Urban underground infrastructure monitoring is important for controlling the flow of extraneous water into the pipelines. By combining the wireless underground communications and sensor solutions, the urban underground IoT applications such as real time wastewater and storm water overflow monitoring can be developed. In this paper, the path loss analysis of wireless underground communications in urban underground IoT for wastewater monitoring has been presented. It has been shown that the communication range of up to 4 kilometers can be achieved from an underground …


An Underground Radio Wave Propagation Prediction Model For Digital Agriculture, Abdul Salam Apr 2019

An Underground Radio Wave Propagation Prediction Model For Digital Agriculture, Abdul Salam

Faculty Publications

Underground sensing and propagation of Signals in the Soil (SitS) medium is an electromagnetic issue. The path loss prediction with higher accuracy is an open research subject in digital agriculture monitoring applications for sensing and communications. The statistical data are predominantly derived from site-specific empirical measurements, which is considered an impediment to universal application. Nevertheless, in the existing literature, statistical approaches have been applied to the SitS channel modeling, where impulse response analysis and the Friis open space transmission formula are employed as the channel modeling tool in different soil types under varying soil moisture conditions at diverse communication distances …


Underground Environment Aware Mimo Design Using Transmit And Receive Beamforming In Internet Of Underground Things, Abdul Salam Apr 2019

Underground Environment Aware Mimo Design Using Transmit And Receive Beamforming In Internet Of Underground Things, Abdul Salam

Faculty Publications

In underground (UG) multiple-input and multiple-output (MIMO), the transmit beamforming is used to focus energy in the desired direction. There are three different paths in the underground soil medium through which the waves propagates to reach at the receiver. When the UG receiver receives a desired data stream only from the desired path, then the UG MIMO channel becomes three path (lateral, direct, and reflected) interference channel. Accordingly, the capacity region of the UG MIMO three path interference channel and degrees of freedom (multiplexing gain of this MIMO channel requires careful modeling). Therefore, expressions are required derived the degrees of …


A Storytelling, Social-Belonging Intervention In An Introductory Computer Science Course, Shanon Reckinger, Chris Gregg Mar 2019

A Storytelling, Social-Belonging Intervention In An Introductory Computer Science Course, Shanon Reckinger, Chris Gregg

ASEE IL-IN Section Conference

A brief social-belonging intervention was tested in two introductory computer science (CS) courses. This intervention used storytelling to help improve a sense of belonging and establish the importance of persistence in the classroom. In previous experiments using this one-time intervention, there were significant results (Walton & Brady, 2017). Recent CS graduates were interviewed about their own struggles and failures in their computer science courses. These interviews were videotaped and edited to follow the storytelling pattern of a struggle, followed by an attribution, and concluding with redemption. Interviewees were selected to represent a diverse group of students including both dominant majority …


Teaching Young Learners Computational Thinking, Tingxuan Li, Shengwei An, Xuan Wang, Hengrong Du, Guanhong Tao Mar 2019

Teaching Young Learners Computational Thinking, Tingxuan Li, Shengwei An, Xuan Wang, Hengrong Du, Guanhong Tao

Engagement & Service-Learning Summit

No abstract provided.


Collecting Virtual And Augmented Reality In The Twenty-First Century Library, Matthew Hannah, Sarah Huber, Sorin Adam Matei Mar 2019

Collecting Virtual And Augmented Reality In The Twenty-First Century Library, Matthew Hannah, Sarah Huber, Sorin Adam Matei

Matei Interdisciplinary Research Collaboratory

In this paper, we discuss possible pedagogical applications for virtual and augmented reality (VR and AR), within a humanities/social sciences curriculum, articulating a critical need for academic libraries to collect and curate 3D objects. We contend that building infrastructure is critical to keep pace with innovative pedagogies and scholarship. We offer theoretical avenues for libraries to build a repository 3D object files to be used in VR and AR tools and sketch some anticipated challenges. To build an infrastructure to support VR/AR collections, we have collaborated with College of Liberal Arts to pilot a program in which Libraries and CLA …


International Nuclear Cyber Security Threat Landscape, Shannon Eggers, Charles Nickerson Mar 2019

International Nuclear Cyber Security Threat Landscape, Shannon Eggers, Charles Nickerson

Purdue Workshop on Nonproliferation: Technology and Approaches

The Idaho National Laboratory (INL) Nuclear Cyber Team (NCT) is a recognized leader in international nuclear cyber program assessments as well as nuclear cyber training development and delivery. This paper discusses how the NCT is implementing their vision to protect global nuclear infrastructure from cyber threats. Also outlined is the team’s perspectives on the global nuclear cyber threat landscape and the top ten approachable cyber security measures that can be applied to immediately improve a country’s nuclear cyber security posture.


A Theoretical Model Of Underground Dipole Antennas For Communications In Internet Of Underground Things, Abdul Salam, Mehmet C. Vuran, Xin Dong, Christos Argyropoulos, Suat Irmak Feb 2019

A Theoretical Model Of Underground Dipole Antennas For Communications In Internet Of Underground Things, Abdul Salam, Mehmet C. Vuran, Xin Dong, Christos Argyropoulos, Suat Irmak

Faculty Publications

The realization of Internet of Underground Things (IOUT) relies on the establishment of reliable communication links, where the antenna becomes a major design component due to the significant impacts of soil. In this paper, a theoretical model is developed to capture the impacts of change of soil moisture on the return loss, resonant frequency, and bandwidth of a buried dipole antenna. Experiments are conducted in silty clay loam, sandy, and silt loam soil, to characterize the effects of soil, in an indoor testbed and field testbeds. It is shown that at subsurface burial depths (0.1-0.4m), change in soil moisture impacts …