Index Catalog // ScholarsArchive@OSU

A Deep Learning and Image Processing Pipeline for Object Characterization in Firm Operations

Creator:: Aghasi, Allreza, Ral, Arun, and Xla, Yusen
Abstract:: Given the abundance of images related to operations that are being captured and stored, it behooves firms to innovate systems using image processing to improve operational performance that refers to any activity that can save labor cost. In this paper, we use deep learning techniques, combined with classic image/signal processing...
Resource Type:: Article
Full Text:: higher than 93% accuracy in layer and log counting. Theoretically, our study conceives, constructs, and

Creating, Understanding and Applying Machine Learning Models of Multiple Species

Creator:: Griffioen, Arwen Twinkle E.
Abstract:: Many problems in ecology and conservation biology can be formulated and solved using machine learning algorithms for multi-label classification. This dissertation addresses three topics related to predicting the distributions of multiple species. It improves existing methods and proposes a new modeling paradigm to address the multi-species, multi-label problem. The first...
Resource Type:: Dissertation
Full Text:: to be absent). Given a set of 𝑁 data points, let 𝑡𝑝, 𝑡𝑛, 𝑓𝑝, and 𝑓𝑛 be the number of data

Advanced propulsion systems for linear motion with high performance requirements

Creator:: Zhou, Xiaolin
Abstract:: Traditionally linear actuator applications are addressed by the use of hydraulic systems. The high maintenance cost and poor reliability will always be the most critical problem in the real applications. Benefited from both the high mechanical advantage of the roll screw and the simple structure of the switched reluctance motor,...
Resource Type:: Dissertation

Global Hierarchical Control of a Park of Spar Buoy-type Floating Oscillating Water Column Wave Energy Converters

Creator:: Gaebele, Daniel T.
Abstract:: Converting energy from ocean waves is a challenging area for control theory application because of the nonlinear dynamics in various time scales. Generally, wave energy converter (WEC) control is applied in order to maximize power absorption, in the most common wave conditions, and subject to the devices’ physical constraints. Commonly,...
Resource Type:: Dissertation
Full Text:: frequency dependent Pierson-Moskowitz spectrum for differ- ent combinations of Hs and Tp

Data Classification and Extraction of Weather Reports

Creator:: Qin, Rui
Abstract:: Severe weather in the United States causes huge insured losses to crop and property frequently.It creates major impact and elicit diverse response in the weather insurance industry. Events like hail, storm, hurricane etc. are more likely to cause catastrophe losses. So it becomes crucial to collect and analyze these extreme...
Resource Type:: Capstone Project
Full Text:: office information of the first batch (line 1-3) in Figure 3.1 is 050 NWUS53 KGRR 010214 LSRGRR while

Probabilistic models for quality control in environmental sensor networks

Creator:: Dereszynski, Ethan W.
Abstract:: Networks of distributed, remote sensors are providing ecological scientists with a view of our environment that is unprecedented in detail. However, these networks are subject to harsh conditions, which lead to malfunctions in individual sensors and failures in network communications. This behavior manifests as corrupt or missing measurements in the...
Resource Type:: Dissertation
Full Text:: Leaf Met. station (elevation: 1273m). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93

Performance of a binary pulse position modulated ultra-wideband system with direct sequence spreading for multiple access

Creator:: Venkatesan, Vinod
Abstract:: There has been tremendous technological advancement in the area of high-speed indoor wireless local area networks (WLAN's) in recent years. All the existing tech- nologies such as IEEE 802.11a,b are bandwidth limited and high powered systems. The challenge any wireless technology faces is to minimize both the power consumption and...
Resource Type:: Masters Thesis
Full Text:: (dB) (d) Impulse Response with Random Pulse Inversions, τrms = 20ns, L = 179, Tp = 0.5ns

Multiple Nonlinear Model Predictive Control for a Six-body System Oscillating Water Column Wave Energy Converters Array

Creator:: Xu, Zhicheng
Abstract:: This research presents the design of three nonlinear model predictive controllers (NMPCs) for floating oscillating water column (OWC) wave energy converters (WECs) array to maximize generated power, augmented with the control of the high-speed stop valves (HSSVs). Key to this design is the development of a high-fidelity discretized model for...
Resource Type:: Masters Thesis
Full Text:: -NMPC design and one-NMPC design . . . 74 6.3.1 Wave elevation profile for Hs = 2m and Tp = 12s

Adaptive, wideband analog-to-digital conversion for convergent communication systems

Creator:: Batten, Robert D., 1973-
Abstract:: The exponential rate of advances in modern communication devices in the last several years have brought us higher levels of functionality and performance as well as reductions in physical size and power consumption. To continue this rate of advancement, next generation systems require wider bandwidth and higher resolution ADCs. Additionally,...
Resource Type:: Dissertation

Model development via delay extraction for the time-domain simulation of lossy transmission lines.

Creator:: Blevins, Chris
Abstract:: This thesis presents two new approaches for the broadband, time-domain modeling of lossy transmission lines. Each approach is based on an alternative derivation of delay extraction in order to separate the line's linear phase from its attenuation and dispersion. Augmentation networks represent the derived attenuation networks as rational function approximations....
Resource Type:: Masters Thesis
Full Text:: AUGMENTATION MODEL. ............................................... 93 FIGURE 5.35 THE RELATIVE ACCURACY (RMS

ScholarsArchive@OSU

A Deep Learning and Image Processing Pipeline for Object Characterization in Firm Operations

Creating, Understanding and Applying Machine Learning Models of Multiple Species

Advanced propulsion systems for linear motion with high performance requirements

Global Hierarchical Control of a Park of Spar Buoy-type Floating Oscillating Water Column Wave Energy Converters

Data Classification and Extraction of Weather Reports

Probabilistic models for quality control in environmental sensor networks

Performance of a binary pulse position modulated ultra-wideband system with direct sequence spreading for multiple access

Multiple Nonlinear Model Predictive Control for a Six-body System Oscillating Water Column Wave Energy Converters Array

Adaptive, wideband analog-to-digital conversion for convergent communication systems

Model development via delay extraction for the time-domain simulation of lossy transmission lines.

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