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Articles 1 - 11 of 11

Full-Text Articles in Data Storage Systems

Estimating Effects Of Tourism Using Multiple Data Sources: The Miranda Tool As Part Of A Spatial Decision Support System For Sustainable Destination Development, Tobias Heldt Apr 2024

Estimating Effects Of Tourism Using Multiple Data Sources: The Miranda Tool As Part Of A Spatial Decision Support System For Sustainable Destination Development, Tobias Heldt

GSTC Academic Symposium - In conjunction with the GSTC Global Conference Sweden April 23, 2024

Planning for sustainable mobility and destination development in rural areas is increasingly important when tourism grows in numbers. A key to address the challenge of transformation and adaptation of local communities to mitigate adverse effects in seasonal peak hours like traffic congestion, power failure, waste management and sewage flooding, is to properly estimate the number of visitors to a destination.

The problem of estimating tourism numbers is a known challenge since, for example, guest nights statistics are in-complete and non-commercial lodging (sharing solutions) are increasing. Recently, the promising utilization of mobile phone data has emerged as a means to estimate …


Digital Platform To Aid Youth Substance Abuse Prevention, Bingxuan Li Dec 2022

Digital Platform To Aid Youth Substance Abuse Prevention, Bingxuan Li

Discovery Undergraduate Interdisciplinary Research Internship

Through research and interviews, I discovered that a significant portion of students in Africa become drug addicts and drop out of school. The solution is to prevent youth substance abuse before it happens, so that more students in Africa may continue their education. With the strong motivation of expanding African student involvement in higher education, I participated DURI program to increase higher education rates in the Democratic Republic of the Congo, Africa. The local government is establishing rehabilitation centers to monitor at-risk students and prevent youth substance abuse, but due to extremely limited resources, it is critical to evaluate the …


Redefining Research In Nanotechnology Simulations: A New Approach To Data Caching And Analysis, Darin Tsai, Alan Zhang, Aloysius Rebeiro Nov 2022

Redefining Research In Nanotechnology Simulations: A New Approach To Data Caching And Analysis, Darin Tsai, Alan Zhang, Aloysius Rebeiro

The Journal of Purdue Undergraduate Research

No abstract provided.


Transcribing Braille Code: Learning Equations Across Platforms, Deegan Atha, Courtney Balogh Nov 2018

Transcribing Braille Code: Learning Equations Across Platforms, Deegan Atha, Courtney Balogh

Purdue Journal of Service-Learning and International Engagement

Deegan Atha, a graduating senior in electrical engineering and a future engineer, is interested in human-centered design and developing technology that helps students engage and be successful in STEM.

Courtney Balogh, a junior in mechanical engineering, is interested in human-centered design and the importance it plays in product development. Deegan and Courtney are members of the Purdue EPICS project, Learning Equations Across Platforms (LEAP). They partnered with the Indiana School for the Blind and Visually Impaired (ISBVI) to develop a braille transcription device and web application that converts braille to print in real time.


Resource Estimation For Large Scale, Real-Time Image Analysis On Live Video Cameras Worldwide, Caleb Tung, Yung-Hsiang Lu, Anup Mohan Aug 2017

Resource Estimation For Large Scale, Real-Time Image Analysis On Live Video Cameras Worldwide, Caleb Tung, Yung-Hsiang Lu, Anup Mohan

The Summer Undergraduate Research Fellowship (SURF) Symposium

Thousands of public cameras live-stream an abundance of data to the Internet every day. If analyzed in real-time by computer programs, these cameras could provide unprecedented utility as a global sensory tool. For example, if cameras capture the scene of a fire, a system running image analysis software on their footage in real-time could be programmed to react appropriately (perhaps call firefighters). No such technology has been deployed at large scale because the sheer computing resources needed have yet to be determined. In order to help us build computer systems powerful enough to achieve such lifesaving feats, we developed a …


Can Flight Data Recorder Memory Be Stored On The Cloud?, Yair Wiseman Oct 2016

Can Flight Data Recorder Memory Be Stored On The Cloud?, Yair Wiseman

Journal of Aviation Technology and Engineering

Flight data recorders (FDRs, or black boxes) generate data that is collected on an embedded memory device. A well-known difficulty with these devices is that the embedded memory device runs out of space. To avoid getting into this problematic situation, the software of the FDR is designed to operate in a watchful mode, constantly working to minimize the use of memory space; otherwise a larger FDR would be needed. However, larger FDRs can be a problem because they have very rigorous requirements; thus, enlargement is costly. Outcomes of this research include the recommendation to send FDR data to a remote …


New Challenges For The Archiving Of Digital Writing, Heiko Zimmermann Dec 2014

New Challenges For The Archiving Of Digital Writing, Heiko Zimmermann

CLCWeb: Comparative Literature and Culture

In his article "New Challenges for the Archiving of Digital Writing" Heiko Zimmermann discusses the challenges of the preservation of digital texts. In addition to the problems already at the focus of attention of digital archivists, there are elements in digital literature which need to be taken into consideration when trying to archive them. Zimmermann analyses two works of digital literature, the collaborative writing project A Million Penguins (2006-2007) and Renée Tuner's She… (2008) and shows how the ontology of these texts is bound to elements of performance, to direct social interaction of writers and readers to the uniquely subjective …


A Cris Data Science Investigation Of Scientific Workflows Of Agriculture Big Data And Its Data Curation Elements, Benjamin D. Branch, Peter N. Baker, Jai Xu, Elisa Bertino Mar 2014

A Cris Data Science Investigation Of Scientific Workflows Of Agriculture Big Data And Its Data Curation Elements, Benjamin D. Branch, Peter N. Baker, Jai Xu, Elisa Bertino

Libraries Faculty and Staff Presentations

This joint collaboration between the Purdue Libraries and Cyber Center demonstrates the next generation of computational platforms supporting interdisciplinary collaborative research. Such platforms are necessary for rapid advancements of technology, industry demand and scholarly congruence towards open data, open access, big data and cyber-infrastructure data science training. Our approach will utilize a Discovery Undergraduate Research Investigation effort as a preliminary research means to further joint library and computer science data curation research, tool development and refinement.


Agricultural And Water Harvesting Opportunities In Kenya, Via A Crowd-Sourced, Citizen Science Hybrid Paradigm, Benjamin D. Branch, James Tindall, Rosemary Moki, Peter N. Baker, Jai Xu, Elisa Bertino Mar 2014

Agricultural And Water Harvesting Opportunities In Kenya, Via A Crowd-Sourced, Citizen Science Hybrid Paradigm, Benjamin D. Branch, James Tindall, Rosemary Moki, Peter N. Baker, Jai Xu, Elisa Bertino

Libraries Faculty and Staff Presentations

This is potential joint collaborative research between the Purdue University and citizens of Kenya via the Global Engineering Program in the areas of agriculture in water harvesting. Specifically, in the rural part of Kenya, outside of Nairobi, lives can be greatly impacted. Libraries of tomorrow will have global capacity and responsibility to serve all aspects of global citizenry. Herein is one possible Kenyan example.

In partnership with the Tinmore Institute, an International Food, Water, and Energy Security team of experts, such international collaboration with Purdue's Global Engineering program could be quite successful within the areas of agricultural and water security …


D-Tunes: Configuration Engine For Geo-Replicated Cloud Storage, Jiawei Wang, Sanjay Rao Oct 2013

D-Tunes: Configuration Engine For Geo-Replicated Cloud Storage, Jiawei Wang, Sanjay Rao

The Summer Undergraduate Research Fellowship (SURF) Symposium

When developing a web-based application, developers are facing stringent requirements to balance the latency, scalability and availability for their cloud database. Application developers need a specific replication configuration strategy based on the requirement of their application. To deal with this problem, some geo-replicated cloud strategy systems have emerged recently, like Cassandra. This project serves to design a web tool that can help configure the best replication strategies for geo-distributed data stores, which uses quorum-based protocols. Currently, our web tool D-Tunes, require a minimum input from users and generate specific scripts based on the inputs user provided. The program running these …


Is Real-Time Mobile Content-Based Image Retrieval Feasible?, Colin G. Graber, Anup Mohan, Yung-Hsiang Lu Oct 2013

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, …