Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Keyword
-
- Adaptive evaluation window (1)
- Analysis (1)
- BFGF (1)
- Basic Fibroblast Growth Factor (1)
- Belief propagation algorithm (1)
-
- Bioengineering (1)
- College (1)
- Criticism (1)
- Cumulative utility (1)
- Data-driven technology (1)
- Drill-bit dysfunction (1)
- Drilling (1)
- Drilling performance monitoring (1)
- Education (1)
- Engineering (1)
- Fuzzy PR-OWL (1)
- Fuzzy multi entity Bayesian networks (1)
- HaSE (1)
- Hazard (1)
- Industrial engineering (1)
- Latent hazards (1)
- Literacy (1)
- Material science (1)
- NIH/3T3 (1)
- Near miss (1)
- Normal distribution operator image filtering (1)
- OER (1)
- Occupational safety (1)
- Ontology language (1)
- Open educational resource (1)
- Publication
- Publication Type
Articles 1 - 11 of 11
Full-Text Articles in Engineering
Fluids Demonstrations Ii: Bubbles In Mondrian Painting, Eruption-Like Flow, Rotational Instability, And Wake Vortices, Said Shakerin
Fluids Demonstrations Ii: Bubbles In Mondrian Painting, Eruption-Like Flow, Rotational Instability, And Wake Vortices, Said Shakerin
All Faculty Articles - School of Engineering and Computer Science
The purpose of this paper is to present five new devices that demonstrate a variety of flow phenomena in liquids and granular materials that exhibit fluid-like behavior. These devices complement and add on to a recent collection of demonstrations that was published in this journal. The devices are self-contained and portable, and can be utilized repeatedly without waiting or cleanup between uses. Furthermore, since the demonstrations result in visually engaging patterns, they are accessible to everyone regardless of age or science background. Descriptions are provided to enable replication by others. Significance of each demonstration is outlined and background information on …
Fantasy Football As Sport And Game, Osvaldo Jimenez
Fantasy Football As Sport And Game, Osvaldo Jimenez
All Faculty Articles - School of Engineering and Computer Science
In an issue that aims to explore questions and the relationship between sports and games, I propose that looking at fantasy sports is an important angle from which to explore this relationship. The term fantasy sports can be a broad term if looked at as incorporating elements of fantasy into sport. For example, many of the most popular sporting games, like Madden (Visual Concepts Entertainment, Inc., 1993), already form a relationship between sports and game by using recent player data and incorporating that information into a game. One could argue that such a game already constitutes a fantasy sport. Nonetheless, …
Materials Science And Engineering, Joshua P. Steimel
Materials Science And Engineering, Joshua P. Steimel
Pacific Open Texts
This text serves to provide a brief overview of some of the myriad of topics available for study in the field of Materials Science. This is by no means a comprehensive compilation of Materials Science and Engineering topics but is instead meant as an introduction to the topic for entry-level undergraduates who want to pursue a career studying materials.
The Rock 2019, School Of Engineering And Computer Science
The Rock 2019, School Of Engineering And Computer Science
The Rock
No abstract provided.
Drilling Performance Monitoring And Optimization: A Data-Driven Approach, Mehdi Khazaeli, S. Lashari, A. Takbiri-Borujeni, E. Fathi, T. Sun
Drilling Performance Monitoring And Optimization: A Data-Driven Approach, Mehdi Khazaeli, S. Lashari, A. Takbiri-Borujeni, E. Fathi, T. Sun
All Faculty Articles - School of Engineering and Computer Science
Drilling performance monitoring and optimization are crucial in increasing the overall NPV of an oil and gas project. Even after rigorous planning, drilling phase of any project can be hindered by unanticipated problems, such as bit balling. The objective of this paper is to implement artificial intelligence technique to develop a smart model for more accurate and robust real-time drilling performance monitoring and optimization. For this purpose, the back propagation, feed forward neural network model was developed to predict rate of penetration (ROP) using different input parameters such as weight on bit, rotations per minute, mud flow (GPM) and differential …
Analysis Of Blade Fragment Risk At A Wind Energy Facility, Scott Larwood, David Simms
Analysis Of Blade Fragment Risk At A Wind Energy Facility, Scott Larwood, David Simms
All Faculty Articles - School of Engineering and Computer Science
An analysis was performed to determine the risk posed by wind turbine fragments on roads and buildings at the National Wind Technology Center at the National Renewable Energy Laboratory. The authors used a previously developed model of fragment trajectory and took into account the wind speed/direction distribution at the site and the probability of rotor failure. The site‐specific risk was assessed by determining the likelihood of impact and related consequences. For both the roads and buildings, the risk varied from low to routine, which was considered acceptable.
Spiking Network Optimized For Word Recognition In Noise Predicts Auditory System Hierarchy, Seyedeh Fatemeh Khatami, Monty Escabí
Spiking Network Optimized For Word Recognition In Noise Predicts Auditory System Hierarchy, Seyedeh Fatemeh Khatami, Monty Escabí
All Faculty Articles - School of Engineering and Computer Science
The auditory neural code is resilient to acoustic variability and capable of recognizing sounds amongst competing sound sources, yet, the transformations enabling noise robust abilities are largely unknown. We report that a hierarchical spiking neural network (HSNN) optimized to maximize word recognition accuracy in noise and multiple talkers predicts organizational hierarchy of the ascending auditory pathway. Comparisons with data from auditory nerve, midbrain, thalamus and cortex reveals that the optimal HSNN predicts several transformations of the ascending auditory pathway including a sequential loss of temporal resolution and synchronization ability, increasing sparseness, and selectivity. The optimal organizational scheme enhances performance by …
Near Miss Reporting: Perspectives On Worker Conversance Of Incident Events Across Two Industries, Julia Mcgee
Near Miss Reporting: Perspectives On Worker Conversance Of Incident Events Across Two Industries, Julia Mcgee
University of the Pacific Theses and Dissertations
The practice of reporting workplace incident events is adopted as best practice by organizations and complies with Occupational Safety and Health Administration (OSHA) mandates. Reporting the near miss incident type in which no injury or damage to equipment or the environment occurs is buttressed by the assumption that both the worker and the organization ascribe to the same goal to identify workplace hazards and prevent incident recurrence. The goal of incident reporting is not apparent, and the path to achieving the goal is obstructed by internal and external hazards that act to oppose the reporting process, such that the goals …
Expression, Purification, And Characterization Of Recombinant Basic Fibroblast Growth Factor In Pichia Pastoris, Henry Hieu Minh Le
Expression, Purification, And Characterization Of Recombinant Basic Fibroblast Growth Factor In Pichia Pastoris, Henry Hieu Minh Le
University of the Pacific Theses and Dissertations
Wounds in the mouth, occurring after oral surgery, take time to heal. No ointment can be added to help with the healing process because mouth saliva will constantly wash it away. In order to combat this problem, we propose engineering a normal flora microbe to grow at the site of injury and secrete a recombinant growth factor to promote healing of the damaged tissue. Our goal is to have the yeast Pichia pastoris produce human basic fibroblast growth factor (bFGF), which aids in cellular proliferation. P. pastoris is a good choice for this application because not only is it considered …
Uncertain Knowledge Reasoning Based On The Fuzzy Multi-Entity Bayesian Network, Jinzhu Gao, Dun Li, Hong Wu, Zhuoyun Liu, Lun Li, Zhiyun Zheng
Uncertain Knowledge Reasoning Based On The Fuzzy Multi-Entity Bayesian Network, Jinzhu Gao, Dun Li, Hong Wu, Zhuoyun Liu, Lun Li, Zhiyun Zheng
All Faculty Articles - School of Engineering and Computer Science
With the rapid development of the semantic web and the ever-growing size of uncertain data, representing and reasoning uncertain information has become a great challenge for the semantic web application developers. In this paper, we present a novel reasoning framework based on the representation of fuzzy PR-OWL. Firstly, the paper gives an overview of the previous research work on uncertainty knowledge representation and reasoning, incorporates Ontology into the fuzzy Multi Entity Bayesian Networks theory, and introduces fuzzy PR-OWL, an Ontology language based on OWL2. Fuzzy PR-OWL describes fuzzy semantics and uncertain relations and gives grammatical definition and semantic interpretation. Secondly, …
Volumetric Tooth Wear Measurement Of Scraper Conveyor Sprocket Using Shape From Focus-Based Method, Jiancheng Liu, Yinchuan Liu, Hua Ding
Volumetric Tooth Wear Measurement Of Scraper Conveyor Sprocket Using Shape From Focus-Based Method, Jiancheng Liu, Yinchuan Liu, Hua Ding
All Faculty Articles - School of Engineering and Computer Science
Volumetric tooth wear measurement is important to assess the life of scraper conveyor sprocket. A shape from focus-based method is used to measure scraper conveyor sprocket tooth wear. This method reduces the complexity of the process and improves the accuracy and efficiency of existing methods. A prototype set of sequence images taken by the camera facing the sprocket teeth is collected by controlling the fabricated track movement. In this method, a normal distribution operator image filtering is employed to improve the accuracy of an evaluation function value calculation. In order to detect noisy pixels, a normal operator is used, which …