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In order to provide reliable, repeatable replication of FW build environments, Simplexity has selected a combination of Linux and Docker for our FW development system. While most people eschew command line interfaces for GUI’s (and they are superior for many uses), the fact is that most FW development GUI’s are just GUI’s on top of command line tools. Because of the way Docker Desktop worked prior to the release of Microsoft’s second version of the Windows Subsystem for Linux (discussed below), file system performance was either painfully slow (if hosting source code on the Windows side), or you had to re-clone your repo every time you fired the VM up (Docker always strives to provide a “fresh” machine). By utilizing WSL2 and Docker, Simplexity has a FW development environment that supports easy configuration control, high performance, and best-in-class command line and IDE tools.

As an engineering firm, Simplexity is honored to celebrate National Engineers Week and to support the­­ engineering community and STEM initiatives not only during this joyous week, but all year long as sponsors, volunteers, speakers, and mentors for various organizations. Every year, Oregon MESA serves more than 600 middle and high school students historically underrepresented in STEM fields with the skills, knowledge, and opportunities to develop their talents, explore technology-based careers, enter college, and compete successfully in the workforce. As a grassroots effort that began with 25 students at Oakland Technical High School in 1970, it has flourished into an award-winning program that serves almost 25,000 middle school, high school, community college, and university students throughout California each year. A champion of women engineers, the Society of Women Engineers is the world’s largest advocate and catalyst for change for women in engineering and technology.

This informative blog written by Senior Quality Engineer, Theresa Ramirez will clarify what a risk-based approach is, where it can be applied throughout a QMS, and provide sample models and best practice tables for implementing a risk-based approach. Applying a risk-based approach to quality management system processes simply means that quality management activities are prioritized and implemented proportionate to the level of risk. A risk-based approach is used in determining a statistical sample size for design verification testing by assigning confidence and reliability levels based upon the severity of the harm produced by the potential failure mode of the product under test. The six sample tables listed below will be described in detail on the following pages, demonstrating how one can apply a risk-based approach to the Product Realization process, CAPA process, Sample Size Determination, and Qualification of Suppliers.

As you can see from Simplexity’s Halloween Mechatronics Contest, the Covie Covid Disinfecting Robot now leads a double life. But all of that changed one day when The BATs 🦇 affixed a very suspicious Amulet to Covie as part of a Halloween decorating; the provenance of said Amulet seems to be Shakey (at best)[1] Here we have Covie’s arm ready for the attack; the arm was an aluminum piece rotated by a servo controlled by an Arduino (Mike Cheponis). Shakey, a mobile robot, was developed (1966–72) at the Stanford Research Institute, Menlo Park, California (just a stone’s throw from the Simplexity Bay Area Sunnyvale Office).