Index Catalog // ScholarsArchive@OSU

Open Source barriers to entry, revisited : a tools perspective

Creator:: Mendez, Christopher, Pedala, Hema Susmita, Steine-Hanson, Zoe, Hilderbrand, Claudia, Horvath, Amber, Hill, Charles, Simpson, Logan, Patil, Nupoor, Sarma, Anita, and Burnett, Margaret
Abstract:: Software (OSS) communities and that women disproportionately experience such barriers. However, this research has focused mainly on social/cultural factors, ignoring the environment itself — the tools and infrastructure. To shed some light onto how tools and infrastructure might somehow factor into OSS barriers to entry, we conducted a field study...
Resource Type:: Technical Report
Full Text:: for males more likely to be for their interest and enjoyment of technology itself [3, 6, 8, 20, 27, 30

Characterizing and Addressing Dataset Shift with Deep Learning

Creator:: Olson, Matthew L.
Abstract:: This dissertation delves into understanding, characterizing, and addressing dataset shift in deep learning, a pervasive issue for deployed machine learning systems. Integral aspects of the problem are examined: We start with the use of counterfactual explanations in order to characterize the behavior of deep reinforcement learning agents in visual input...
Resource Type:: Dissertation
Full Text:: . . . . . . . . . . . . . . . . . 141 A.8 Explanations 6 through 10 for the flawed agent used in the user study. (Center) The original

Model Selection of Discrete Classifiers under Class and Cost Distribution Change: An Empirical Study

Creator:: Ahmed, Nahian and Hutchinson, Rebecca A.
Abstract:: A variety of important machine learning applications require predictions on test data with different characteristics than the data on which a model was trained and validated. In particular, test data may have a different relative frequency of positives and negatives (i.e., class distribution) and/or different mislabeling costs of false positive...
Resource Type:: Technical Report
Full Text:: and Data Mining, pp. 1–8. Springer, 2016b. https://doi.org/10.1007/978-0-387-30164-8_733. 14 https

Investigation of Infrared Absorption of Carbon Dioxide in Metal–Organic Framework Material

Creator:: Li, Shiwen
Abstract:: Due to the advantages of the high surface area and high porosity, Metal-Organic Framework (MOF) materials are widely used in gas storage. As a typical MOF material, Zeolitic Imidazolate Framework-8 (Zif-8) has high selectivity and adsorption capability of carbon dioxide (CO2). In this thesis, we investigated the infrared absorption of...
Resource Type:: Masters Thesis
Full Text:: Imidazolate Framework-8 (Zif-8) has high selectivity and adsorption capability of carbon dioxide (CO2). In

Advancing Power Grid Computing: Analysis and Synthesis of Wide-Area Data, Distributed Real-Time Hardware-In-the-Loop Simulations, and Machine Learning for Event Detection

Creator:: Hagan, Travis
Abstract:: Global Positioning Systems have allowed for precise timing of power system measurements over wide areas. This newly found capability has the potential to provide much greater insight into the operation of the power system and its response to contingencies, but few analytical techniques currently exist that provide enough robustness and...
Resource Type:: Dissertation
Full Text:: �$%��*��7��6�� "�� .'�� - "�%��8,#��31��9 0��'��1

Design of Energy-Efficient Equalization and Data Encoding/Decoding Techniques for Wireline Communication Systems

Creator:: Chun, Yu Sang
Abstract:: Ever increasing global internet data traﬃc has driven up the demand for cutting-edge high-speed wireline communication systems including SerDes PHY for various interfaces, interconnects, data centers servers and switches in optical systems. Operating wireline communications at higher data rates leads to signals suﬀering from greater channel loss and exponential increase...
Resource Type:: Dissertation
Full Text:: -order pulse amplitude modulation (PAM) including PAM-8, and 2) an inter-symbol interference (ISI

New Architectures and Circuits for Pushing the Dynamic Range and Multiplexing Boundaries of CMOS-Integrated Sensors

Creator:: Ouh, Hyunkyu
Abstract:: Over the last decades, CMOS-integrated sensors have made impressive progress in performance, form-factor, and energy-efficiency for various applications such as imaging, physical/chemical sensing, bio/health monitoring. In the era of the artificial intelligence (AI) and the internet-of-things (IoT), such CMOS-integrated sensors are essential for massive and comprehensive data acquisition, where sensing...
Resource Type:: Dissertation
Full Text:: reconfigurable, closed-loop high-voltage charge pump in the same substrate. An 8 x 8 array architecture along

A Framework for Evaluating the Comprehensiveness of Continuous Improvement in Academic Computing Programs. A 360-Degree View of the Continuous Improvement Efforts in a Large School of Electrical Engineering and Computer Science

Creator:: Azzouni, Abdullah
Abstract:: Continuous Improvement (CI) of academic computing programs is a main requirement of accreditation. Academic computing programs must have a well-documented CI plan in order to be granted accreditation. Based on the existing literature, we developed a comprehensive CI (or 360-CI) model consisting of 8 components: course, curriculum, administration, faculty, research,...
Resource Type:: Dissertation
Full Text:: comprehensive CI (or 360-CI) model consisting of 8 components: course, curriculum, administration, faculty

On the Role of Spatial Clustering Algorithms in Building Species Distribution Models from Community Science Data

Creator:: Roth, Mark
Abstract:: This paper discusses opportunities for developments in spatial clustering methods to help leverage broad scale community science data for building species distribution models (SDMs). SDMs are critical tools that inform the science and policy needed to mitigate the impacts of climate change on biodiversity. Community science data span spatial and...
Resource Type:: Capstone Project
Full Text:: .982 .018 .0466 ± .014 clustGeo-.8-850 .999 .991 .009 .0416 ± .012 clustGeo-.8-950 .998 .974 .026 .0435

Guided-mode-resonance-coupled plasmonic-active SiO₂ nanotubes for surface enhanced Raman spectroscopy

Creator:: Xu, Xiaobin, Hasan, Dihan, Wang, Lei, Chakravarty, Swapnajit, Chen, Ray T., Fan, D. L., and Wang, Alan X.
Abstract:: We demonstrate a surface enhanced Raman scattering (SERS) substrate by integrating plasmonic-active SiO₂ nanotubes into Si₃N₄ gratings. First, the dielectric grating that is working under guided mode resonance (GMR) provides enhanced electric field for localized surface plasmon polaritons on the surface of metallic nanoparticles. Second, we use SiO₂ nanotubes with...
Resource Type:: Article
Full Text:: enhancement factor of 8� 10 in addition to the existing SERS effect across the entire surface of the SiO2

ScholarsArchive@OSU

Open Source barriers to entry, revisited : a tools perspective

Characterizing and Addressing Dataset Shift with Deep Learning

Model Selection of Discrete Classifiers under Class and Cost Distribution Change: An Empirical Study

Investigation of Infrared Absorption of Carbon Dioxide in Metal–Organic Framework Material

Advancing Power Grid Computing: Analysis and Synthesis of Wide-Area Data, Distributed Real-Time Hardware-In-the-Loop Simulations, and Machine Learning for Event Detection

Design of Energy-Efficient Equalization and Data Encoding/Decoding Techniques for Wireline Communication Systems

New Architectures and Circuits for Pushing the Dynamic Range and Multiplexing Boundaries of CMOS-Integrated Sensors

A Framework for Evaluating the Comprehensiveness of Continuous Improvement in Academic Computing Programs. A 360-Degree View of the Continuous Improvement Efforts in a Large School of Electrical Engineering and Computer Science

On the Role of Spatial Clustering Algorithms in Building Species Distribution Models from Community Science Data

Guided-mode-resonance-coupled plasmonic-active SiO₂ nanotubes for surface enhanced Raman spectroscopy

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