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Articles 31 - 33 of 33
Full-Text Articles in Hardware Systems
Design Project: 3d Printer/Injection Molder Hybrid, Lee Paolucci, Luke Everhart, Brandon Leap, Karson Lorey
Design Project: 3d Printer/Injection Molder Hybrid, Lee Paolucci, Luke Everhart, Brandon Leap, Karson Lorey
Williams Honors College, Honors Research Projects
In the realm of rapid, small-scale prototyping, there are a few main factors that drive decisions to invest resources in technology to make that prototyping possible. Cost and ease of use are two of the most influential when looking at most SMEs (Small to Medium-sized Enterprises). The U.S. Small Business Administration defines an SME as smaller than 1,250 employees. According to An Assessment of Implementation of Entry-Level 3D Printers from the Perspective of Small Businesses, 59% of small manufacturers had implemented 3D printers as of 2014. However, no matter what technology is used in rapid prototyping, there are common …
Smart Bike Aftermarket System (Sbams), Noah Lamadanie, Jack Bullock, Dawson Beachy, John Albrecht
Smart Bike Aftermarket System (Sbams), Noah Lamadanie, Jack Bullock, Dawson Beachy, John Albrecht
Williams Honors College, Honors Research Projects
The Smart Bike Aftermarket System will be a set of connected modules, which, when installed on a standard bicycle, will allow it to mimic some of the safety and quality-of-life functionalities of an E-bike. The most notable of these safety features is an ability to detect vehicles approaching from behind and alert the user of potential collisions. The system will also implement lighting (Headlights, taillights, and turn signals), and a coupled application so a user can view more advanced information about their cycling. The primary advantage of this system over a standard E-bike is that it will have a lower …
Adapting Deep Learning For Underwater Acoustic Communication Channel Modeling, Li Wei
Adapting Deep Learning For Underwater Acoustic Communication Channel Modeling, Li Wei
Dissertations, Master's Theses and Master's Reports
The recent emerging applications of novel underwater systems lead to increasing demand for underwater acoustic (UWA) communication and networking techniques. However, due to the challenging UWA channel characteristics, conventional wireless techniques are rarely applicable to UWA communication and networking. The cognitive and software-defined communication and networking are considered promising architecture of a novel UWA system design. As an essential component of a cognitive communication system, the modeling and prediction of the UWA channel impulse response (CIR) with deep generative models are studied in this work.
Firstly, an underwater acoustic communication and networking testbed is developed for conducting various simulations and …