A signal processing method includes: acquiring first measurement data based on a signal output from a first sensor configured to detect a physical quantity of a first axis generated by a vibration of an object and second measurement data based on a signal output from a second sensor configured to detect a physical quantity of a second axis generated by the vibration of the object; generating a Lissajous figure based on the first measurement data and the second measurement data; transforming coordinates of each point in the Lissajous figure into polar coordinates and generating time series data of a first angle which is an angle formed between the first axis and a straight line, the straight line being obtained by projecting a straight line passing through an origin and each point in the Lissajous figure onto a plane including the first axis and the second axis; and executing frequency analysis on the time series data of the first angle and calculating a first maximum peak intensity which is a maximum peak intensity in a first frequency spectrum obtained by the frequency analysis.

A communication system includes a first wireless base station supporting communications with multiple mobile communication devices. The first wireless base station is limited to an amount of power it is able to consume. For example, the wireless base station receives power consumption information from a power consumption manager. To control power consumption with respect to the received power consumption information, the wireless base station determines (such as based on an estimation, calculation, measurement, etc.), an amount of a power consumption by the wireless base station while communicating with multiple mobile communication devices. The wireless base station adjusts wireless communications transmitted from the wireless base station to maintain the power consumption of the wireless base station with respect to a power consumption limit as indicated by the received power consumption information.

The described technology is generally directed towards user equipment (UE) geolocation using a long history of network information. In some examples, a long history of network information associated with a UE can be processed to identify frequently repeated serving cell and correlated timing advance values. The frequently repeated serving cell and correlated timing advance values are indicative of frequently visited places. Next, the long history can be leveraged to determine locations of the frequently visited places with enhanced accuracy, and the resulting enhanced accuracy locations can be identified in a location lookup table for the UE. When the UE subsequently connects to the frequently repeated serving cell and the correlated timing advance value is observed, the location lookup table can be used to quickly assign an enhanced accuracy location to the UE.

The described technology is generally directed towards user equipment (UE) geolocation using a long history of network information. In some examples, a long history of network information associated with a UE can be processed to identify frequently repeated serving cell and correlated timing advance values. The frequently repeated serving cell and correlated timing advance values are indicative of frequently visited places. Next, the long history can be leveraged to determine locations of the frequently visited places with enhanced accuracy, and the resulting enhanced accuracy locations can be identified in a location lookup table for the UE. When the UE subsequently connects to the frequently repeated serving cell and the correlated timing advance value is observed, the location lookup table can be used to quickly assign an enhanced accuracy location to the UE.

A system generating, using a first addressable unit address decoder, a first addressable unit address based on an input address, an interleaving factor, and a number of first addressable units. The system then generating, using an internal address decoder, an internal address based on the input address, the interleaving factor, and the number of first addressable units. Generating the internal address includes: determining a lower address value by extracting lower bits of the internal address, determining an upper address value by extracting upper bits of the internal address, and adding the lower address value to the upper address value to generate the internal address. Using an internal power-of-two address boundary decoder and the internal address, the system then generating a second addressable unit address, a third addressable unit address, a fourth addressable unit address, and a fifth addressable unit address.

A system generating, using a first addressable unit address decoder, a first addressable unit address based on an input address, an interleaving factor, and a number of first addressable units. The system then generating, using an internal address decoder, an internal address based on the input address, the interleaving factor, and the number of first addressable units. Generating the internal address includes: determining a lower address value by extracting lower bits of the internal address, determining an upper address value by extracting upper bits of the internal address, and adding the lower address value to the upper address value to generate the internal address. Using an internal power-of-two address boundary decoder and the internal address, the system then generating a second addressable unit address, a third addressable unit address, a fourth addressable unit address, and a fifth addressable unit address.

A method and apparatus for determining a weak Wi-Fi signal, a storage medium and a terminal are provided. The method includes: receiving a to-be-determined signal; performing energy sliding accumulation based on the to-be-determined signal to obtain accumulated values of energy values at a plurality of sampled value moments including a current sampled value comment, wherein each of the energy values is determined based on an amplitude value of the to-be-determined signal at the corresponding sampled value moment; determining a product value of a first preset energy threshold and an energy value at a preset sampled value moment; and determining whether the to-be-determined signal is a weak Wi-Fi signal at least based on comparison between the accumulated value of the energy values at the current sampled value moment and the product value, wherein the first preset energy threshold is greater than or equal to 1.

Systems for self-organizing data collection and storage in a refining environment are disclosed. An example system may include a swarm of mobile data collectors structured to interpret a plurality of sensor inputs from sensors in the refining environment, wherein the plurality of sensor inputs is configured to sense at least one of: an operational mode, a fault mode, a maintenance mode, or a health status of a plurality of refining system components disposed in the refining environment, and wherein the plurality of refining system components is structured to contribute, in part, to refining of a product. The self-organizing system organizes a swarm of mobile data collectors to collect data from the system components, and at least one of a storage operation of the data, a data collection operation of the sensors, or a selection operation of the plurality of sensor inputs.

Methods and systems for sensor fusion in a production line environment are disclosed. An example system for data collection in an industrial production environment may include an industrial production system comprising a plurality of components, and a plurality of sensors each operatively coupled to at least one of the components; a sensor communication circuit to interpret a plurality of sensor data values in response to a sensed parameter group; and a data analysis circuit to detect an operating condition of the industrial production system based at least in part on a portion of the sensor data values; and a response circuit to modify a production related operating parameter of the industrial production system in response to the detected operating condition.

An electronic device is provided. The electronic device includes an antenna module, a memory, and at least one processor configured to, in response to modulating a signal for transmitting by a first carrier frequency, identify a first beam book corresponding to the first carrier frequency stored in the memory, the first beam book including information related to a first phase value corresponding to each of antenna elements included in the antenna module, perform beamforming based on the identified first beam book via the antenna module, in response to modulating the signal for transmitting by a second carrier frequency different from the first carrier frequency, identify a second beam book corresponding to the second carrier frequency, the second beam book including information related to a second phase value corresponding to each of the antenna elements, the second phase value is a value compensated from the first phase value based on the second carrier frequency, and perform beamforming based on the identified second beam book via the antenna module.