Abstract: An optical receiver device includes a boost converter circuit, an optical receiver circuit, and a pulse width modulation controller circuitry. The boost converter circuit is configured to convert a supply voltage according to a pulse width modulation signal, in order to generate an output voltage. The optical receiver circuit is configured to set a gain according to the output voltage, in order to convert an optical signal to a data signal according to the gain. The pulse width modulation controller circuitry is configured to perform a digital to analog conversion according to a control code to gradually adjust a current associated with the output voltage, and to compare the output voltage with a reference voltage to generate the pulse width modulation signal.

Abstract: A method for optimizing camera layout for areas requiring surveillance comprises constructing a three-dimensional model of a scene subject to surveillance and related scene variables, configuring a computation range, constructing a plurality of simulation scenes using the three-dimensional model and the scene variables and recording the framing of pixels in the plurality of simulation scenes by a plurality of cameras according to the computation range, and further calculating the number of pixels required for visibility of an object to be recognized from the recorded framing of pixels. A camera set is selected from the plurality of cameras according to a convergence requirement, and a computation as to camera optimization layout is performed with the camera set to obtain one or more layout schemes.

Abstract: A method for optimizing camera layout for areas requiring surveillance comprises constructing a three-dimensional model of a scene subject to surveillance and related scene variables, configuring a computation range, constructing a plurality of simulation scenes using the three-dimensional model and the scene variables and recording the framing of pixels in the plurality of simulation scenes by a plurality of cameras according to the computation range, and further calculating the number of pixels required for visibility of an object to be recognized from the recorded framing of pixels. A camera set is selected from the plurality of cameras according to a convergence requirement, and a computation as to camera optimization layout is performed with the camera set to obtain one or more layout schemes.

Abstract: A method for ensuring safety of humans within operating area or in close proximity to an automatic apparatus is applied in and by a control apparatus. The control apparatus is coupled to one or more cameras arranged around the operating area of the automatic apparatus. The control apparatus uses deep learning techniques to analyze images captured by the cameras to determine whether there is a person in the operating area and powers off the automatic apparatus if any person is deemed present.

Abstract: A power supply device includes a pulse frequency modulation controller circuitry and a cycle controller circuitry. The pulse frequency modulation controller circuitry is configured to adjust a transiting speed of a first signal according to at least one control bit, and to compare the first signal with a first reference voltage to generate a second signal, and to generate a driving signal to a power converter circuit according to an output voltage, a second reference voltage, and the second signal, in which the power converter circuit is configured to generate the output voltage according to the driving signal.

Abstract: A PFM control circuit includes a switching circuit, a slope-decision circuit, a flip-flop, a first and a second comparison circuits. The first comparison circuit outputs a first signal according to an output voltage of a power conversion circuit. The switching circuit outputs a switching signal according to an output current of the power conversion circuit. The slope-decision circuit outputs a slope modulation voltage, and determines a slope modulation voltage with a first or a second slope according to the switching signal. The second comparison circuit outputs the second signal according to the slope modulation voltage. The flip-flop outputs a control signal to the power conversion circuit according to the first and the second signals. When the slope modulation voltage has the first or the second slope, the control signal has a first or a second frequency accordingly. The first frequency is higher than the second frequency.

Abstract: In one embodiment, a method includes receiving, at an input of a transimpedance amplifier, an input electrical-current signal. The electrical-current signal includes a photodetector current and a DC cancellation current. The photodetector current corresponds to an input optical signal and includes an alternating-current (AC) portion and a direct-current (DC) portion. The method also includes performing, by the transimpedance amplifier, a transimpedance amplification of the input electrical-current signal to produce, at an output of the transimpedance amplifier, an output voltage signal corresponding to the input electrical-current signal. The method further includes providing, by a current-control circuit coupled to the input and the output of the transimpedance amplifier, the DC cancellation current to the input of the transimpedance amplifier, where the DC cancellation current is based on the output voltage signal.

Abstract: A disaster security resource calculation method includes obtaining disaster prevention data of a place to be evaluated and loss assessment data of the place in a disaster scenario, and determining disaster security resources required by the place to be evaluated in the disaster scenario using a preset calculation model according to the disaster prevention data and the loss assessment data. The disaster prevention data includes environmental information, item information, and personnel information.

Abstract: An environmental state analysis method includes obtaining key data that affects an environmental state of a designated place, and determining a degree of influence of the key data on the environmental state of the designated place according to the key data by using an analysis model. The key data includes one or more of environmental protection data, pollution source data, and environmental monitoring data. The environmental state includes one or more of a diffusion speed of harmful gas and a concentration of dust in the air.

Abstract: A method for estimating firefighting data includes: obtaining firefighting condition data of a site, wherein the firefighting condition data comprises information on firefighting equipment, information on flammable articles; and estimating firefighting input data and firefighting damage data based on the firefighting condition data using a simulation analysis model, wherein the simulation analysis model is created based on firefighting condition data, firefighting input data and firefighting damage data of different sites.

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 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 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 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.