Abstract: A method comprises using at least one of a reader and a passive tag to exchange values according to an ultra-lightweight mutual authentication protocol with a substitution operation to change a Hamming weight of the values.

Abstract: An example method for controlling an AC electrical machine can include providing a PWM converter operably connected between an electrical power source and the AC electrical machine and providing a neural network vector control system operably connected to the PWM converter. The control system can include a current-loop neural network configured to receive a plurality of inputs. The current-loop neural network can be configured to optimize the compensating dq-control voltage. The inputs can be d- and q-axis currents, d- and q-axis error signals, predicted d- and q-axis current signals, and a feedback compensating dq-control voltage. The d- and q-axis error signals can be a difference between the d- and q-axis currents and reference d- and q-axis currents, respectively. The method can further include outputting a compensating dq-control voltage from the current-loop neural network and controlling the PWM converter using the compensating dq-control voltage.

Abstract: A bioactive glass scaffold treated to modify the surface of the bioactive glass scaffold for regenerating new bone tissue is disclosed. In some embodiments, the bioactive glass scaffold may include pores in a grid-like structure to promote the ingrowth of bone tissue, and the modified surface layer may include a hydroxyapatite-like surface. The bioactive glass scaffold is inexpensive and easy to fabricate and regenerates new bone faster than the existing synthetic implants. The bioactive glass scaffold may be loaded with a biomolecule, such as BMP-2, for delivery to the implantation site.