Index Catalog // ScholarsArchive@OSU

OPEnS Hub: Real-time Data Logging, Connecting Field Sensors to Google Sheets

Creator:: DeBell, Thomas C., Goertzen, Luke, Larson, Lars, Selbie, William, Selker, John S., and Udell, Chet
Abstract:: In Earth science, we must often collect data from sensors installed in remote locations. Retrieving these data and storing them can be challenging. Present options include proprietary commercial dataloggers, communication devices, and protocols with rigid software and data structures that may require ongoing expenses. While there are open-source solutions that...
Resource Type:: Article
Full Text:: original HTTP request from the Hub to a HTTPS request 120 to reach the Google script. 121 4

Introducing the OPEnS HUB 2.0 - A Versatile, In situ, Remote, Sensor Hub

Creator:: DeBell, Thomas C., Goertzen, Luke, Selker, John, and Udell, Chet
Abstract:: Research in geoscience often requires transmission of significant amounts of data from remote locations. The emergence of microcontrollers and open-source sensors are allowing connectivity to affordable, distributed in-situ monitoring. This report describes the OPEnS Hub, a modular data hub orders of magnitude cheaper than commercial dataloggers when scaled to multiple...
Resource Type:: Poster
Full Text:: between our HTTP Ethernet transmitted data and the Google compliant HTTPS encrypted data. This handshake

Applications of Magnetic Materials in Soft Robotics

Creator:: Davis, William M.
Abstract:: Magnetic materials can be used in modern soft robotics as a method for external stimulus actuation and motion control. By combining aspects of biology and mechanics, devices are fabricated to create a structure capable of complex movement. Applications that these devices are subject to can be broken down into four...
Resource Type:: Capstone Project
Full Text:: . 1804647, Dec. 2018, doi: https://doi.org/10.1002/adfm.201804647 [4] E. Diller and M. Sitti, “Three

Divergence Reduction and Dependency Management in GPU Programs using Asynchronous Work Scheduling

Creator:: Cuneo, Braxton
Abstract:: With continuing improvements in performance and capability, GPU processing has gained significant and growing interest across science and industry. With this interest, research has increasingly focused upon methods of processing algorithms with stochastic, non-uniform branching while maintaining low divergence. Central among these methods is thread-data remapping (TDR), whereby data is...
Resource Type:: Dissertation

Infant Hand Detection and Tracking

Creator:: Mishra, Shridhar
Abstract:: Hand detection is a fundamental step for many hand-related computer vision tasks, such as gesture recognition, hand pose estimation, hand sign language translation, and so on. However, robustly detecting hands is a challenging task because of drastic changes in appearance based on finger articulation and changes in lighting conditions, camera...
Resource Type:: Masters Thesis

Leveraging Multiple Transmissions and Receptions for Channel-Agnostic Wireless Device Identification

Creator:: Basha, Nora
Abstract:: Enabling accurate and automated identification of wireless devices is critical for ensuring secure and authenticated data communication in large-scale networks such as IoT networks. In the aim of devising practical identification techniques that are immune to spoofing, hardware-driven RF fingerprinting using deep neural networks, which leverages the inevitable presence of...
Resource Type:: Masters Thesis

Elucidating Computational Narratives to Facilitate Code Comprehension

Creator:: Chattopadhyay, Souti
Abstract:: Programming is integrated across the workflow of multiple domains where end-user programmers, those who need to program as a means to an end, regularly need to code. In the modern setting of collaborative development, end-user programmers have to interpret the intentions behind existing code to contribute and build solutions to...
Resource Type:: Dissertation

Large Scale Tensor Decomposition Algorithms Using Block-randomized Stochastic Proximal Gradient

Creator:: Gao, Cheng
Abstract:: We consider the problem of computing the cannonical polyadic decomposition (CPD) for large-scale dense tensors. This work is a combination of alternating least squares and fiber sampling. Data sparsity can be leveraged to handle large tensor CPD, but this route is not feasible for dense data. Inspired by stochastic optimization's...
Resource Type:: Masters Thesis

Teacher perceptions of training and pedagogical value of cross-reality and sensor data from smart buildings

Creator:: Rowe, Shawn, Riggio, Mariapaola, De Amicis, Raffaele, and Rowe, Susan R.
Abstract:: This paper discusses elementary, and secondary (K-12) teachers’ perceptions of cross-reality (XR) tools for data visualization and use of sensor data from the built environment in classroom curricula. Our objective was to explore the use of sensor-informed XR in the built environment and civil engineering (BECE) field to support K-12...
Resource Type:: Article

Machine Learning Methods for the Discovery and Analysis of MicroRNAs

Creator:: Bell, Jimmy D.
Abstract:: MicroRNAs are a highly conserved class of small endogenous RNA, about ~22nt in length, involved in post-transcriptional gene silencing and have prominent roles in disease and development. Though the process of microRNA discovery was once an arduous task, the advent of high throughput sequencing technology has resulted in novel microRNAs...
Resource Type:: Masters Thesis
Full Text:: Plos Computational Biology https://journals.plos.org/ploscompbiol/ 15(10) 7 2

ScholarsArchive@OSU

OPEnS Hub: Real-time Data Logging, Connecting Field Sensors to Google Sheets

Introducing the OPEnS HUB 2.0 - A Versatile, In situ, Remote, Sensor Hub

Applications of Magnetic Materials in Soft Robotics

Divergence Reduction and Dependency Management in GPU Programs using Asynchronous Work Scheduling

Infant Hand Detection and Tracking

Leveraging Multiple Transmissions and Receptions for Channel-Agnostic Wireless Device Identification

Elucidating Computational Narratives to Facilitate Code Comprehension

Large Scale Tensor Decomposition Algorithms Using Block-randomized Stochastic Proximal Gradient

Teacher perceptions of training and pedagogical value of cross-reality and sensor data from smart buildings

Machine Learning Methods for the Discovery and Analysis of MicroRNAs

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