Abstract: A mobility augmentation system monitors data representative of a user's motor intent and augments the user's mobility based on the monitored motor intent data. A machine-learned model is trained to identify an intended movement based on the monitored motor intent data. The machine-learned model may be trained based on generalized or specific motor intent data (e.g., user-specific motor intent data). A machine-learned model initially trained on generalized motor intent data may be re-trained on user-specific motor intent data such that the machine-learned model is optimized to the movements of the user. The system uses the machine-learned model to identify a difference between the user's monitored movement and target movement signals. Based on the identified difference, the system determines actuation signals to augment the user's movement. The actuation signals determined can be an adjustment to a currently applied actuation such that the system optimizes the actuation strategy during application.

Abstract: A transaction processing system comprises a querying system and a logical database having an active database and a backup database. The querying system transmits a message for a transaction to the logical database for processing. The message is transmitted to the active database where the message is processed. The active database creates transaction state data based, in part, on the message. The active database transmits a response message to the querying system and forwards the original message to the backup database. The backup database processes the original message and creates its own transaction state data. The transaction state data in the backup database operationally matches the transaction state data in the active database so that if the active database fails, the backup database includes the requisite transaction state data necessary to complete the transaction. The querying system processes the response message and transmits a termination message to the logical database for processing.

Abstract: A blind-riveting machine comprises a transfer device having suction means to hold a mandrel stem and carry it into vertical alignment with a bore in a nosepiece of a rivet-setting device. With the blind-riveting assembly thus poised, the suction is released and the mandrel stem drops into the nosepiece, which holds the assembly when the transfer device retracts.

Abstract: A blind-riveting machine having a device for presenting blind-riveting assemblies to the nosepiece of a rivet setting head. The presenting device comprises a chamber with flat parallel side walls bounded by arcuate walls leading from an inlet 60 at one end to a gate member to arrest blind-riveting assemblies at the other.

Abstract: A system is provided for gathering by input groups the counts of busy conditions of 1,024 inputs terminated on 32 input scan cards with each card terminating 32 inputs. A scan circuit selects the cards one at a time in succession for scanning and causes the inputs of each selected card to be scanned one input at a time in succession so that a single output lead common to all inputs of all cards carries a succession of busy signals according to successively scanned busy inputs. Each card is provided with a switch settable into one of five positions according to whether the count of busy input conditions of that card is to be accumulated in groups of one, two, eight, 32, or 64 inputs. A grouping circuit counts the number of successively scanned inputs and provides a succession of groups signals corresponding to successive counts of the numbers of inputs specified as successive groups by the switch settings of successively selected cards.