Sensorless control of PMS (Permanent Magnet Synchronous) motors is gaining increasing importance in the embedded systems community, as it allows the removal of sensors at the advantage of dimension reduction. Nevertheless, due to limited computational capability of small integrated electronics, it is crucial to develop sensorless techniques with ease of implementation. In this work, a Direct Flux Observer technique for sensorless control of PMS motors is presented with particular focus on the requirements needed for a successful implementation on modern microcontrollers.

Facebook takes performance monitoring seriously. Performance issues can impact over one billion users so we track thousands of servers, hundreds of PB of daily network traffic, hundreds of daily code changes, and many other metrics. We require latencies of under a minute from events occuring (a client request on a phone, a bug report filed, a code change checked in) to graphs showing those events on developers' monitors. Scuba is the data management system Facebook uses for most real-time analysis. Scuba is a fast, scalable, distributed, in-memory database built at Facebook. It currently ingests millions of rows (events) per second and expires data at the same rate. Scuba stores data completely in memory on hundreds of servers each with 144 GB RAM. To process each query, Scuba aggregates data from all servers. Scuba processes almost a million queries per day. Scuba is used extensively for interactive, ad hoc, analysis queries that run in under a second over live data. In addition, Scuba is the workhorse behind Facebook's code regression analysis, bug report monitoring, ads revenue monitoring, and performance debugging.