H04B17/23

Methods and systems of industrial processes with self organizing data collectors and neural networks

Systems and methods for data collection for an industrial heating process are disclosed. The system according to one embodiment can include a plurality of data collectors, including a swarm of self-organized data collector members, wherein the swarm of self-organized data collector members organize to enhance data collection based on at least one of capabilities and conditions of the data collector members of the swarm, and wherein the plurality of data collectors is coupled to a plurality of input channels for acquiring collected data relating to the industrial heating process, and a data acquisition and analysis circuit for receiving the collected data via the plurality of input channels and structured to analyze the received collected data using a neural network to monitor a plurality of conditions relating to the industrial heating process.

Methods and systems of industrial processes with self organizing data collectors and neural networks

Systems and methods for data collection for an industrial heating process are disclosed. The system according to one embodiment can include a plurality of data collectors, including a swarm of self-organized data collector members, wherein the swarm of self-organized data collector members organize to enhance data collection based on at least one of capabilities and conditions of the data collector members of the swarm, and wherein the plurality of data collectors is coupled to a plurality of input channels for acquiring collected data relating to the industrial heating process, and a data acquisition and analysis circuit for receiving the collected data via the plurality of input channels and structured to analyze the received collected data using a neural network to monitor a plurality of conditions relating to the industrial heating process.

MONITORING APPARATUS, WIRELESS COMMUNICATION SYSTEM, FAILURE FACTOR DECIDING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM HAVING PROGRAM STORED THEREON
20180013502 · 2018-01-11 · ·

There are provided a monitoring apparatus, a wireless communication system, a failure factor deciding method and a program which enable a user to take an appropriate countermeasure for a failure factor which has occurred in a wireless communication apparatus which employs space diversity. The monitoring apparatus (1) includes an obtaining unit (12) and a deciding unit (14). The obtaining unit (12) obtains a history related to a received signal level of a first receiver (22) and a received signal level of a second receiver (24) in a predetermined period from a wireless communication apparatus (20) including the first receiver (22) and the second receiver (24). The deciding unit (14) decides a factor of a failure that has occurred in the wireless communication apparatus (20) based on the history.

INFORMATION PROCESSING APPARATUS, SCREEN DISPLAYING METHOD, AND TRANSMISSION SYSTEM

An information processing apparatus is provided for communicating with another information processing apparatus in a different site by using at least one of a plurality of communication platforms. The information processing apparatus includes: a receiving unit configured to receive a transmission image that has been transmitted from the another information processing apparatus in the different site; a displaying unit configured to display on a display device the transmission image that has been received by the receiving unit; and a reading unit configured to read an image to be displayed from an image storing unit configured to store the image to be displayed. For at least a certain period while the one of the communication platform is being switched to another one, the displaying unit displays, in place of the transmission image, the image to be displayed that has been read by the reading unit.

COMMUNICATION-PERFORMANCE CHARACTERIZATION VIA AUGMENTED REALITY

An electronic device that assesses communication performance is described. During operation, the electronic device receives information specifying a location in an environment. For example, the information may correspond to user-interface activity associated with a user interface. Notably, the user interface may include an augmented reality and the user-interface activity may include defining the location, such as by dropping a pin in the augmented reality. Then, the electronic device provides the information to an access point and/or a controller of the access point, where the location is within communication range of the access point. Next, the electronic device receives, from the access point and/or the controller, measurements of one or more communication performance metrics at or proximate to the location during a time interval. Moreover, the electronic device provides a graphical representation of the communication performance at or proximate to the location based at least in part on the measurements.

COMMUNICATION-PERFORMANCE CHARACTERIZATION VIA AUGMENTED REALITY

An electronic device that assesses communication performance is described. During operation, the electronic device receives information specifying a location in an environment. For example, the information may correspond to user-interface activity associated with a user interface. Notably, the user interface may include an augmented reality and the user-interface activity may include defining the location, such as by dropping a pin in the augmented reality. Then, the electronic device provides the information to an access point and/or a controller of the access point, where the location is within communication range of the access point. Next, the electronic device receives, from the access point and/or the controller, measurements of one or more communication performance metrics at or proximate to the location during a time interval. Moreover, the electronic device provides a graphical representation of the communication performance at or proximate to the location based at least in part on the measurements.

METHOD AND SYSTEM FOR BEAM ALIGNMENT IN WIRELESS NETWORK

The disclosure provides methods and apparatuses for performing beam alignment. In some embodiments, a method of performing beam alignment by a user equipment (UE) of a wireless network, includes determining, by the UE based on a plurality of parameters associated with the UE, a first quality level of a connection of the UE in a first orientation and at a geographical location. The connection uses a first beam from at least one network entity of the wireless network. The method further includes determining, by the UE based on the first quality level, a second orientation from a plurality of orientations at the geographical location. The second quality level of the second orientation exceeds the first quality level. The method further includes changing, by the UE, an orientation of the UE from the first orientation to the second orientation.

THREE-DIMENSIONAL VISUALIZATION OF WI-FI SIGNAL PROPAGATION BASED ON RECORDED TELEMETRY DATA

The present technology is directed to visualizing a Wi-Fi access point radio frequency (RF) propagation pattern based on telemetry data over time. The present technology can receive telemetry data for a Wi-Fi network of a building plan in a Wi-Fi visualization system, store the telemetry data with a timestamp, determine a RF propagation pattern in a 3-D space for at least one Wi-Fi access point in the Wi-Fi network, present a user interface including a time slider to facilitate manipulation of a time axis between the first timestamp and the second timestamp, and present a visualization of the RF propagation pattern based on an indication of the time slider.

Systems, methods, and devices for electronic spectrum management

Devices and methods enable optimizing a signal of interest based on identifying and analyzing the signal of interest based on radio frequency energy measurements. Signal data is compared with stored data to identify the signal of interest. Signal degradation data is calculated based on noise figure parameters, hardware parameters and environment parameters. The signal of interest is optimized based on the signal degradation data. Terrain data is also operable to be used for optimizing the signal of interest.

Systems, methods, and devices for automatic signal detection with temporal feature extraction within a spectrum

Systems, methods and apparatus are disclosed for automatic signal detection in an RF environment. An apparatus comprises at least one receiver and at least one processor coupled with at least one memory. The apparatus is at the edge of a communication network. The apparatus sweeps and learns the RF environment in a predetermined period based on statistical learning techniques, thereby creating learning data. The apparatus forms a knowledge map based on the learning data, scrubs a real-time spectral sweep against the knowledge map, and creates impressions on the RF environment based on a machine learning algorithm. The apparatus is operable to detect at least one signal in the RF environment.