A mobile phone includes an acceleration sensor for detecting acceleration, a magnetic sensor for detecting magnetism, and a controller for determining a type of moving state based on the acceleration detected by the acceleration sensor and the magnetism detected by the magnetic sensor.

An automatic system level testing (ASLT) system for testing smart devices is disclosed. The system comprises a system controller coupled to a smart device in an enclosure, wherein the system controller comprises a memory comprising test logic and a processor. The enclosure comprises a plurality of components, wherein the processor is configured to automatically control the smart device and the plurality of components in accordance with the test logic. The plurality of components comprises: (a) a robotic arm comprising a stylus affixed thereto; and (b) a platform comprising a device holder affixed thereto, wherein the smart device is inserted into the device holder; and (c) a wireless access point. The processor is further configured to: (a) control the smart device to activate wireless mode; (b) receive wireless signals from the wireless access point using the smart device; (c) retrieve wireless scan results from the smart device; and (d) analyze the wireless scan results.

An automatic system level testing (ASLT) system for testing smart devices is disclosed. The system comprises a system controller coupled to a smart device in an enclosure, wherein the system controller comprises a memory comprising test logic and a processor. The enclosure comprises a plurality of components, wherein the processor is configured to automatically control the smart device and the plurality of components in accordance with the test logic. The plurality of components comprises: (a) a robotic arm comprising a stylus affixed thereto; and (b) a platform comprising a device holder affixed thereto, wherein the smart device is inserted into the device holder; and (c) a wireless access point. The processor is further configured to: (a) control the smart device to activate wireless mode; (b) receive wireless signals from the wireless access point using the smart device; (c) retrieve wireless scan results from the smart device; and (d) analyze the wireless scan results.

An automatic system level testing (ASLT) system for testing smart devices is disclosed. The system comprises a system controller operable to be coupled with a smart device in an enclosure, wherein the system controller comprises a memory comprising test logic and a processor. The system also comprises the enclosure, wherein the enclosure comprises a plurality of components, the plurality of components comprising: (i) a robotic arm comprising a stylus, wherein the stylus is operable to manipulate the smart device to simulate human interaction therewith; and (ii) a platform comprising a device holder, wherein the device holder is operable to receive a smart device inserted there into. The processor is configured to automatically control the smart device and the plurality of components in accordance with the test logic.

An automated test system for testing smart devices is presented. The system includes a system controller coupled to a smart device, wherein the system controller includes a memory with test logic and a processor. The system also includes an enclosure with a plurality of components. The plurality of components include (a) a robotic arm with a stylus, wherein the stylus is operable to manipulate the smart device to simulate human interaction therewith; (b) a platform with a device holder, wherein the device holder is operable to hold a smart device inserted therein; (c) an audio capture and generator device; and (d) a microphone. The processor is configured to automatically control the smart device and the plurality of components in accordance with the test logic.

A machine learning device for detecting an indication of an occurrence of chatter in a tool for a machine tool, includes a state observation unit which observes at least one state variable of a vibration of the machine tool itself, a vibration of a building in which the machine tool is installed, an audible sound, an acoustic emission and a motor control current value of the machine tool, in addition to a vibration of the tool; and a learning unit which generates a learning model based on the state variable observed by the state observation unit.

An automatic system level testing (ASLT) system for testing smart devices is disclosed. The system comprises a system controller operable to be coupled with a smart device in an enclosure, wherein the system controller comprises a memory comprising test logic and a processor. The system also comprises the enclosure, wherein the enclosure comprises a plurality of components, the plurality of components comprising: (i) a robotic arm comprising a stylus, wherein the stylus is operable to manipulate the smart device to simulate human interaction therewith; and (ii) a platform comprising a device holder, wherein the device holder is operable to receive a smart device inserted there into. The processor is configured to automatically control the smart device and the plurality of components in accordance with the test logic.

In an operating machine, one example of a method for monitoring operation of operating machinery includes converting an actual sound pattern generated by the machine into an audio signal and digitizing the audio signal to create a real-time acoustic fingerprint unique to the actual sound pattern. A reference database contains a plurality of stored acoustic fingerprints, each stored acoustic fingerprint in the plurality of stored acoustic fingerprints representing a unique sound pattern associated with a particular operating condition. A controller compares the real-time acoustic fingerprint to the stored acoustic fingerprints in the reference database and generates an output in response to detection of a match between the real-time acoustic fingerprint and one of the plurality of stored acoustic fingerprints. One example of the machine is a corruptor machine that converts paper webs into corrugated paperboard sheets.

According to one embodiment described herein aim to provide a mobile assist device capable of comprehensively determining (or judging) data output from various sensors, thereby determining (or judging) an item which should be controlled next. The mobile assist device includes a movable body, a sensors mounted on the movable body, and a control module which determines the brightness of the surroundings from an output of the sensor, and also outputs a control signal for controlling the operation of the other instrument based on a result of the determination.

Arrangements related to the confirmation of component connections made during manufacturing or assembly processes are described. Acoustic data resulting from the connection can be received by a microphone. A controller can analyze the acoustic information to determine if a predetermined acoustic signature is present in the acoustic information. Responsive to the determination, a confirmation signal can be generated and transmitted by the controller. One or both of the microphone and controller can be included in a wearable device and worn by a user. In some arrangements, a motion sensor can be included in the wearable device to allow determination whether motion data during a connection is acceptable.