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Full-Text Articles in Engineering

Oluso, Diego Fernandez, Tyler Heucke, Nishant Mattu, Michael Roesch Jun 2016

Oluso, Diego Fernandez, Tyler Heucke, Nishant Mattu, Michael Roesch

Computer Engineering

Oluso is a new startup offering affordable, inexpensive technology to empower the individual. Our product is designed to keep the user in contact with someone close to them in emergency situations. Over the course of the past several months we have performed interviews with both individuals who may be interested in this product as well as organizations who may be interested in purchasing this product for their members. Our product is nearing completion and all of the companies we have interviewed have displayed a significant amount of interest in our product. The combination of easy communication and peace of mind …


A Multi-Carrier Collaborative Solution To Minimize Connectivity-Loss, Michael Wong Jun 2016

A Multi-Carrier Collaborative Solution To Minimize Connectivity-Loss, Michael Wong

Master's Theses

Nearly two-thirds of Americans own a smart phone, and 19% of Americans rely on their smartphone for either accessing valuable information or staying connected with their friends and family across the globe [15]. Staying always-on and always-connected to the Internet is one of the most important and useful features of a smartphone. This connection is used by almost every single application on the device including web browsers, email clients, messaging applications, etc. Unfortunately, the cellular networks on our smartphones are not perfect and do not always have cellular signal. Our devices often lose Internet connection when users are on the …


Exploring Travel Time Reliability Using Bluetooth Data Collection: A Case Study In San Luis Obispo, California, Krista Purser Jun 2016

Exploring Travel Time Reliability Using Bluetooth Data Collection: A Case Study In San Luis Obispo, California, Krista Purser

Master's Theses

Bluetooth technology applications have improved travel time data collection efforts and allowed for collection of large data sets at a low cost per data unit. Mean travel times between pairs of points are available, but the primary value of this technique is the availability of the entire distribution of travel times throughout multiple days and time periods, allowing for a greater understanding of travel time variations and reliability. The use of these data for transportation planning, engineering and operations continues to expand. Previous applications of similar data sources have included travel demand and simulation model validation, work zone traffic patterns, …