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Now showing items 1612-1631 of 9360
Damage Prediction of Lead Free Ball Grid Array Packages Under Shock and Drop Environment
(2007-05-15)
The fatigue and damage of solder joints and also the potential for interface failure within BGA packages are caused by thermal cycling. In case of portable electronic products, fatigue is caused by repetitive drop and shock ...
The Dance: a fluid model of street design
(2014-04-29)
During the early twentieth century, the American city experienced changes to its infrastructure that are still visible today. These changes were a result of the city beautiful movement. Some of the changes to the city ...
Data Analytics Methods for Supply Chain Risk Management with Applications in Transportation and Manufacturing Safety
(2021-12-06)
Supply chain management aims to understand and explain how organizations should collaborate within a chain to improve the overall competitiveness of the chain and smooth the flow of the money, material, and information ...
Data and Information Flow Improvements in Manufacturing Systems
(2022-11-27)
The fourth industrial revolution, or Industry 4.0, is making its mark with a wave of efforts to digitize and digitalize data and information in manufacturing systems. Global efforts are being made to accelerate the adoption ...
Data Center Specific Thermal and Energy Saving Techniques
(2015-07-23)
Data centers are ever increasing as we become more reliant on web based transactions. The benefits of such massive computing are obvious by the speed and ease we can get most media or information. A challenge is that new ...
Data Collection Methods for the Voice Range Profile: A Systematic Review
(2020-02-04)
Purpose: To assess data collection variability in the Voice Range Profile (VRP) across clinicians and researchers, a systematic review was conducted to evaluate the extent of variability of specific data collection points ...
Data Driven Decision Making for School Improvement Planning: Toward a Model and Process for Distributive Leadership and Shared Decision Making
(2015-05-08)
Many school leaders may not have adequate decision-making tools or skills to respond to the reporting requirements of accountability mandates such as No Child Left Behind (NCLB) and Race To the Top (RTTT) (Flowers & ...
A Data Driven Framework to Identify the Critical Variables, Visualize Their Conditional Relations and Predict the Outcomes of U.S. Heart Transplants
(2016-08-03)
Predicting the survival of heart transplant patients is an important, yet challenging problem since it plays a crucial role in understanding the matching procedure between a donor and a recipient. Recent studies have shown ...
A Data Driven Framework to Predict the Fatigue among Manufacturing Workers Using Wearable Sensors
(2018-07-25)
Worker fatigue has been known as a significant phenomenon in the manufacturing occupations. In these occupations, physical fatigue is a challenging ergonomic/safety issue as it lowers productivity and boosts the incidence ...
Data Driven Methods for Chemical Process and Product Synthesis and Design
(2018-11-20)
Data driven methods for chemical process and product synthesis have become integrated in all aspects of design. The responsibly of the academic community should be to provide users with guidance when managing the ...
A Data Element Mapping and Analysis (DEMA) Approach for Implementing a Complete Digital Thread
(2023-08-04)
In the age of digitalization and the fourth industrial revolution, the concept of the Digital
Thread and the Model-Based Enterprise has captured both the attention and resources of countless establishments. However, despite ...
Data Extraction from Servers by the Internet Robot
(2009-07-15)
Data extraction from internet is a way to download and extract the required data automatically from web servers. In this thesis, we present a method called the Internet Robot to extract the data directly from a web server ...
Data Mining Medication Administration Incident Data to Identify Opportunities for Improving Patient Safety
(2009-12-15)
This research analyzed historical data related to medication administration errors at a 340 bed regional medical center. The objective was to determine if data mining techniques could identify relationships within the ...
Data Science with A Focus on Spatial Domain
(2020-11-19)
Data science focuses on solving data-driven tasks using a variety of techniques, including but not limited to machine learning, neural networks, mathematics, and statistics. In this article, I work on two tasks in the scope ...
Data Usage Optimization for Cost Estimating in Asphalt Paving Projects Using a Cost Indexing System
(2018-04-30)
During the last decade, the transportation construction industry has seen an increase in the implementation of historical bid-based cost estimating practices by various state transportation agencies (STAs). The American ...
Data-Driven Agroclimate Modeling and Forecasting Based on Earth Observations and Predictions: A Study of Evapotranspiration, Precipitation, and Crop Yields
(2020-04-17)
Meeting the growing food demand in a sustainable manner is the main challenge faced by agriculture, at a time when the climate changes increasingly threaten food security. Innovative agro-climate approaches are needed to ...
A Data-Driven Lithium-Ion Concentration Estimator for Electrode Solid Phase in Battery Models.
(2023-08-09)
This thesis introduces a data-driven approach for lithium-ion concentration estimation in
battery cells, leveraging a deep learning model based on Long Short-Term Memory (LSTM)
networks. As lithium-ion batteries gain ...
Data-driven semiconducting nanomaterials design for energy applications
(2022-08-04)
Silicon nitrides and hydrogenated silicon nitrides attract widespread scientific interest across multiple application fields due to their superior combination of optical, mechanical, thermal and optoelectronic properties. ...
Data-Driven Systems Engineering Techniques for Advanced Manufacturing
(2021-07-19)
This dissertation presents research performed in the area of data-driven systems engineering to address some challenges of existing sensing and modeling technologies when applied in the emerging field of advanced manufacturing. ...
A Data-Mining Framework for Uncertainty Analysis in Pipeline Erosion Modeling
(2018-07-24)
The transport of solids in multiphase flows is common practice in energy industries due to the unavoidable extraction of solids from oil and gas bearing reservoirs either from onshore or offshore sites. The safe and efficient ...