Abstract: A receiver applies a calibration method to compensate for skew between input channels. The receiver skew is estimated by observing the coefficients of an adaptive equalizer which adjusts the coefficients based on time-varying properties of the multi-channel input signal. The receiver skew is compensated by programming the phase of the sampling clocks for the different channels. Furthermore, during real-time operation of the receiver, channel diagnostics is performed to automatically estimate differential group delay and/or other channel characteristics based on the equalizer coefficients using a frequency averaging or polarization averaging approach. Framer information can furthermore be utilized to estimate differential group delay that is an integer multiple of the symbol rate. Additionally, a DSP reset may be performed when substantial signal degradation is detected based on the channel diagnostics information.

Abstract: A power supplier circuit supplies a power signal to a codec of an audio apparatus. The power supplier circuit includes a random sequence generation circuit, a control circuit, and a power circuit. The random sequence generation circuit generates a random sequence. The control circuit outputs a first control signal according to the random sequence, a first reference signal, and the power signal. The power circuit generates the power signal according to the first control signal, such that the power signal is spread in response to the random sequence.

Abstract: In one embodiment, an apparatus includes a photoluminescent wavelength-shifting material configured to receive an input-light data signal comprising a first range of wavelengths, absorb at least a portion of the received input-light data signal, and produce an emitted-light data signal comprising a second range of wavelengths based on an upper-state lifetime of the photoluminescent wavelength-shifting material. The apparatus also includes a focusing element configured to receive at least a portion of the emitted-light data signal, concentrate the received portion of the emitted-light data signal, and produce a concentrated-light data signal. The apparatus further includes a photodetector configured to receive the concentrated-light data signal, and produce an electrical current corresponding to the concentrated-light data signal.

Abstract: A production process control method includes acquiring first recorded production process information, extracting second production process information from the first recorded production process information, establishing a matching model for correlating a first satisfied parameter with a second satisfied parameter, establishing a production capability prediction model for predicting production capability, inputting a first production parameter into the matching model to obtain a value of a second production parameter for producing a preset workpiece, inputting the value of the first production parameter and the value of the second production parameter into the production capability prediction model to calculate a complex production capability index (CPK) value, determining whether the CPK value reaches a preset capability standard, and setting the value of the first production parameter and the value of the second production parameter when the CPK value reaches the preset capability standard.

Abstract: A method performs 3D scene engineering simulation and real-life scene fusion. The method includes obtaining 3D coordinates of each point of a 3D model of a real-life scene, obtaining engineering data corresponding to the 3D coordinates of each point, acquiring location information of each point, establishing a correspondence between the 3D coordinates of each point and the location information of each point in the real-life scene, providing a scene fusion interactive interface on a mobile terminal, acquiring an image of a target scene in the real-life scene, acquiring location information and orientation information of the mobile terminal, determining 3D coordinates corresponding to the location information of the mobile terminal, determining a 3D coordinate range, and merging the engineering data corresponding to the 3D coordinate range into the image of the target scene.

Abstract: A risk evaluating method based on deep learning includes establishing an evaluation model of factor weights and an evaluation model of factor scores by training weight data and score data of multiple factors; acquiring factor information in a current environment; inputting the factor information into the evaluation models of the factor weights and the factor scores; calculating dynamic weight data and score data of multiple factors; determining whether the current environment satisfies a predefined first environmental important characteristic condition; sampling the weight data and the score data of the multiple factors, when the current environment satisfies the predefined first environmental important characteristic condition; and adjusting the evaluation models of the factor weights and the factor scores respectively by training the sampled weight data and the sampled score data of the multiple factors.

Abstract: A digital commodity exchange method is implemented in an electronic device. The method includes receiving a digital commodity and exchanging conditions of the digital commodity, generating a first exchange contract of the digital commodity, storing the first exchange contract to a blockchain platform of the electronic device and broadcasting the first exchange contract on each node of the blockchain, searching a number of exchange contracts in the electronic device and identifying a second exchange contract that matches the exchange information in the first exchange contract, storing the first exchange contract and the second exchange contract in the form of a message queue in the electronic device, and transmitting the digital commodity of the first exchange contract and the digital commodity of the second exchange contract to the terminal device of the second exchange contract and the terminal device of the first exchange contract, respectively.

Abstract: A fire development situation prediction method includes collecting simulation data of a fire, establishing a neural network of an engineered deep learning model, training the neural network with the simulation data, determining whether an output value of the neural network is less than or equal to a preset error threshold value, stopping training of the neural network when the output value of the neural network is less than or equal to a preset error threshold value, recollecting the simulation data of the fire when the output value of the neural network is not less than or equal to a preset error threshold value, and evaluating the development situation of the fire according to the engineered deep learning model. The fire development situation prediction method is for predicting a development situation of a fire.

Abstract: A fire-fighting terminal, establishing a communication connection with at least one fire-fighting server, and comprising at least one firefighter; an acquisition unit configured for collecting image information of the fire-fighting equipment; a detecting unit configured for detecting physical information of the fire-fighting equipment; and a communication unit configured for communicating with the fire-fighting server. A fire-fighting server and a fire-fighting monitoring device are also provided.

Abstract: A receiver applies a calibration method to compensate for skew between input channels. The receiver skew is estimated by observing the coefficients of an adaptive equalizer which adjusts the coefficients based on time-varying properties of the multi-channel input signal. The receiver skew is compensated by programming the phase of the sampling clocks for the different channels. Furthermore, during real-time operation of the receiver, channel diagnostics is performed to automatically estimate differential group delay and/or other channel characteristics based on the equalizer coefficients using a frequency averaging or polarization averaging approach. Framer information can furthermore be utilized to estimate differential group delay that is an integer multiple of the symbol rate. Additionally, a DSP reset may be performed when substantial signal degradation is detected based on the channel diagnostics information.

Abstract: A risk managing device for monitoring and managing one or more areas at risk, includes an obtaining module, a setting module, an updating module, a calculating module, and a sorting module. The obtaining module obtains live inspection information of an area. The setting module sets a Severity, Occurrence, and Detection (SOD) score for each failure factor of each safety device. The updating module updates the SOD score of each failure factor of each safety device according to the live inspection information. The calculating module calculates a grey correlation degree of each safety device according to updated SOD score. The sorting module outputs a risk sorting list of the plurality of safety devices of the area according to the grey correlation degree of each safety device. A risk managing method is also provided.

Abstract: A receiver applies a calibration method to compensate for skew between input channels. The receiver skew is estimated by observing the coefficients of an adaptive equalizer which adjusts the coefficients based on time-varying properties of the multi-channel input signal. The receiver skew is compensated by programming the phase of the sampling clocks for the different channels. Furthermore, during real-time operation of the receiver, channel diagnostics is performed to automatically estimate differential group delay and/or other channel characteristics based on the equalizer coefficients using a frequency averaging or polarization averaging approach. Framer information can furthermore be utilized to estimate differential group delay that is an integer multiple of the symbol rate. Additionally, a DSP reset may be performed when substantial signal degradation is detected based on the channel diagnostics information.

Abstract: A method for managing an intercom system includes obtaining a householder management authority of an intercom official account by an intercom indoor device and transferring the householder management authority to a first mobile terminal of a householder. An intercom request can be generated by an access control device through which a visitor or other is seeking entry, the intercom request being received by the first mobile terminal of the householder. A communication with the access control device can be established, and the access control device can be controlled to open or not open a door. An intercom system is also provided.

Abstract: In one embodiment, an apparatus includes a photoluminescent wavelength-shifting material configured to receive an input-light data signal comprising a first range of wavelengths, absorb at least a portion of the received input-light data signal, and produce an emitted-light data signal comprising a second range of wavelengths based on an upper-state lifetime of the photoluminescent wavelength-shifting material. The apparatus also includes a focusing element configured to receive at least a portion of the emitted-light data signal, concentrate the received portion of the emitted-light data signal, and produce a concentrated-light data signal. The apparatus further includes a photodetector configured to receive the concentrated-light data signal, and produce an electrical current corresponding to the concentrated-light data signal.

Abstract: Systems and methods described herein include methods and systems for controlling bias voltage provided to an optical modulating device. The optical modulating device is biased at a bias point that is different from a null point of the device such that an offset to the received optical power due to limited extinction ratio is reduced.

Abstract: In one embodiment, an apparatus includes a wavelength-shifting element configured to receive an input-light signal. The wavelength-shifting element includes a wavelength-shifting material configured to absorb at least a portion of the received input-light signal and produce an emitted-light signal from the absorbed portion of the received input-light signal. The apparatus also includes a plasmonic grating comprising a plurality of plasmonic-grating elements configured to receive at least a portion of the emitted-light signal and direct the received portion of the emitted-light signal onto a photodetector. The apparatus further includes the photodetector configured to receive the directed portion of the emitted-light signal and produce an electrical current corresponding to the directed portion of the emitted-light signal.

Abstract: A system includes information acquisition apparatus, one or more user terminals and a server communicating with both. The information acquisition apparatus is positioned at a scene for acquired information. The user terminal includes a community establishing module and an inviting module. The community establishing module can be commanded to recognize a social group and set characteristics of the social group. The invitation module can invite other users to join the social group in response to a second user command. The server includes an information analyzing module and an information publishing module. The information analyzing module analyzes the acquired information and determines whether acquired information or part is or is not associated with a characteristic of the social group. The information publishing module can publish to the group acquired information which is determined to be associated with a characteristic of the social group.

Abstract: A system includes a first software module, a storage module and a second software module. The first software module receives first data and analyzes the first data to obtain first processed data corresponding to the first data. The storage module stores the first processed data. The second software module receives second data and obtains values in first processed data corresponding to parameters of the second software module, and analyzes the obtained values and the second data to obtain second processed data.

Abstract: A receiver applies a calibration method to compensate for skew between input channels. The receiver skew is estimated by observing the coefficients of an adaptive equalizer which adjusts the coefficients based on time-varying properties of the multi-channel input signal. The receiver skew is compensated by programming the phase of the sampling clocks for the different channels. Furthermore, during real-time operation of the receiver, channel diagnostics is performed to automatically estimate differential group delay and/or other channel characteristics based on the equalizer coefficients using a frequency averaging or polarization averaging approach. Framer information can furthermore be utilized to estimate differential group delay that is an integer multiple of the symbol rate. Additionally, a DSP reset may be performed when substantial signal degradation is detected based on the channel diagnostics information.

Abstract: Optical communication systems and methods using coherently combined optical beams are disclosed. A representative system includes a first data source for sending first data at a first frequency of a first optical beam to a first aperture, and at a second frequency of a second optical beam to a second aperture. The system further includes a second data source for sending second data at a third frequency of a third optical beam to the first aperture, and at a fourth frequency of a fourth optical beam to the second aperture. The system also includes a first interleaver of the first aperture configured to interleave the first data at the first frequency and the second data at the third frequency; and a second interleaver of the second aperture configured to interleave the first data at the second frequency and the second data at fourth frequency.