Abstract: The disclosed technology includes an internal support structure for providing structural stability to an inflated airbed. The internal support structure may include an internal support wall connected to side panels by one or more side support beams. The internal support structure may further include corner support walls and a plurality of internal support beams to provide additional support.

Abstract: Aspects of the present disclosure generally relate to a swimming pool having an internal lighting system. Certain embodiments may include an inflatable swimming pool including a wall and a base. The wall may include one or more inflatable chambers. One or more lighting elements may be interior to one or more of the inflatable chambers. The one or more lighting elements may be able to emit a plurality of colors. A color and/or intensity of the lighting elements may be controlled in accordance with a control command.

Abstract: A method and a system for predicting a gas content in transformer oil based on a joint model are provided and belong a field of transformer failure prediction. The method includes the following: determining a type and a time series of gas to be predicted related to a failure, processing an original series by adopting empirical mode decomposition (EMD) and local mean decomposition (LMD) for a non-stationarity characteristic of a dissolved gas concentration series in oil; performing normalization on each sub-series component, dividing a training sample and a test sample; and establishing a deep belief network (DBN) prediction model for each of the sub-series components for training, performing superposition and reconstruction on the established DBN prediction model to perform characteristic extraction and classification on multi-dimensional data of the failure, evaluating prediction performance of the prediction model through calculating an error index.

Abstract: A method and a system of predicting an electric system load based on wavelet noise reduction and empirical mode decomposition-autoregressive integrated moving average (EMD-ARIMA) are provided. The method and the system belong to a field of electric system load prediction. The method includes the following steps. Raw load data of an electric system is obtained first. Next, noise reduction processing is performed on the load data through wavelet analysis. The noise-reduced load data is further processed through an EMD method to obtain different load components. Finally, ARIMA models corresponding to the different load components are built. Further, the ARIMA models are optimized through an Akaike information criterion (AIC) and a Bayesian information criterion (BIC). The load components obtained through predicting the different ARIMA models are reconstructed to obtain a final prediction result, and accuracy of load prediction is therefore effectively improved.

Abstract: Embodiments of this application disclose provides a low density parity check (LDPC) channel encoding method for use in a wireless communications system. A communication device encodes an input bit sequence by using a LDPC matrix, to obtain an encoded bit sequence for transmission. The LDPC matrix is obtained based on a lifting factor Z and a base matrix. Embodiments of the application provide eight particular designs of the base matrix. The encoding method provided in the embodiments of the application can be used in various communications systems including the fifth generation (5G) telecommunication systems, and can support various encoding requirements for information bit sequences with different code lengths.

Abstract: A low density parity check (LDPC) channel encoding method is used in a wireless communications system. A communication device encodes an input bit sequence by using an LDPC matrix, to obtain an encoded bit sequence for transmission. The LDPC matrix is obtained based on a lifting factor Z and a base matrix. The base matrix may be one of eight exemplary designs. The encoding method can be used in various communications systems including fifth generation (5G) telecommunication systems, and can support various encoding requirements for information bit sequences with different code lengths.

Abstract: Embodiments of this application disclose provides a low density parity check (LDPC) channel encoding method for use in a wireless communications system. A communication device encodes an input bit sequence by using a LDPC matrix, to obtain an encoded bit sequence for transmission. The LDPC matrix is obtained based on a lifting factor Z and a base matrix. Embodiments of the application provide eight particular designs of the base matrix. The encoding method provided in the embodiments of the application can be used in various communications systems including the fifth generation (5G) telecommunication systems, and can support various encoding requirements for information bit sequences with different code lengths.

Abstract: Examples in this application provide a wireless communication method and device. One example method includes obtaining downlink control information and a scrambled sequence from a network device, where bits corresponding to the scrambled sequence are scrambled with each piece of configuration information of a plurality of pieces of configuration information used for configuring a terminal device by the network device, each piece of the configuration information corresponds to at least one bit in the scrambled sequence, and at least one bit of the bits that correspond to each piece of the configuration information does not correspond to another piece of configuration information of the plurality of pieces of the configuration information, descrambling, based on a possible value of each piece of the configuration information, the bits corresponding to each piece of the configuration information, to obtain a descrambled sequence, and performing a check operation using the descrambled sequence and the DCI.

Abstract: A method and a system for online monitoring of a health status of an insulated-gate bipolar transistor (IGBT) module are provided, which belong to the field of IGBT status monitoring. In order to overcome the inability to real-time monitor health statuses of existing IGBT modules, the method of the disclosure includes the following steps. A current sensor is used to measure a collector current of each IGBT module. A collected current value is substituted into a simulation model to obtain a current imbalance rate. A failure module is located according to the current imbalance rate and temperature to achieve the objective of monitoring an IGBT health status.

Abstract: A low density parity check (LDPC) channel encoding method is used in a wireless communications system. A communication device encodes an input bit sequence by using an LDPC matrix, to obtain an encoded bit sequence for transmission. The LDPC matrix is obtained based on a lifting factor Z and a base matrix. The base matrix may be one of eight exemplary designs. The encoding method can be used in various communications systems including fifth generation (5G) telecommunication systems, and can support various encoding requirements for information bit sequences with different code lengths.

Abstract: A method and a system for identifying third-order model parameters of a lithium battery based on a likelihood function are provided, which relates to a method for estimating battery model parameters of a lithium battery under different temperatures, different system-on-chips (SOCs), and charge-discharge currents. The method includes the following steps. A third-order battery model of the lithium battery is established. A battery model output voltage Ud and a total battery current I under different temperatures, different SOCs, and charge-discharge currents are collected. The likelihood function is adopted to construct an identification model, and the collected data is substituted into the identification model to calculate the battery model parameters. Identified parameters are substituted into the third-order battery model to obtain a battery terminal voltage to be compared with a measured terminal voltage.

Abstract: A method for diagnosing analog circuit fault based on vector-valued regularized kernel function approximation, includes steps of: step (1) acquiring a fault response voltage signal of an analog circuit; step (2) carrying out wavelet packet transform on the collected signal, and calculating a wavelet packet coefficient energy value as a characteristic parameter; step (3) utilizing a quantum particle swarm optimization algorithm to optimize a regularization parameter and kernel parameter of vector-valued regularized kernel function approximation, and training a fault diagnosis model; and step (4) utilizing the trained diagnosis model to recognize circuit faults.

Abstract: The invention discloses a method and system for estimating an SOH of a battery pack, including: measuring an SOH data sequence of each charge and discharge cycle of a battery pack and a terminal voltage and a temperature data sequence of the battery pack of each charging stage; calculating voltage entropy and mean temperature data sequences of the battery pack with the charge and discharge cycle; performing an optimization option on a learning rate of a long short-term memory neural network using a particle swarm algorithm based on the voltage entropy, mean temperature and SOH data sequences of the battery pack with the charge and discharge cycle; establishing an SOH estimation model of the long short-term memory neural network using the learning rate obtained by the particle swarm optimization; and estimating the SOH of the battery pack using the established SOH estimation model of the long short-term memory neural network.

Abstract: A low density parity check (LDPC) channel encoding method is used in a wireless communications system. A communication device encodes an input bit sequence by using an LDPC matrix, to obtain an encoded bit sequence for transmission. The LDPC matrix is obtained based on a lifting factor Z and a base matrix. The base matrix may be one of eight exemplary designs. The encoding method can be used in various communications systems including fifth generation (5G) telecommunication systems, and can support various encoding requirements for information bit sequences with different code lengths.

Abstract: A transformer state evaluation method combining a FAHP method, a DEMATEL method, and a CRITIC method is provided and includes: selecting a plurality of groups of state quantities, building a hierarchical indicator system; calculating an influencing degree and an influenced degree by using the DEMATEL method on a subjective level, calculating a weight of each of a plurality of indicators of an indicator layer through the FAHP method and the DEMATEL method, calculating the weights of the indicators of the indicator layer through the CRITIC method on an objective level; calculating an optimal weight according to the indicator subjective weights and the indicator objective weights; and calculating state scores layer by layer, finally determining an actual health condition of each of a plurality of transformers by combining state level classification rules. In the disclosure, the weights are calculated based on the subjective level and the objective level.

Abstract: Embodiments of this application disclose provides a low density parity check (LDPC) channel encoding method for use in a wireless communications system. A communication device encodes an input bit sequence by using a LDPC matrix, to obtain an encoded bit sequence for transmission. The LDPC matrix is obtained based on a lifting factor Z and a base matrix. Embodiments of the application provide eight particular designs of the base matrix. The encoding method provided in the embodiments of the application can be used in various communications systems including the fifth generation (5G) telecommunication systems, and can support various encoding requirements for information bit sequences with different code lengths.

Abstract: Provided are a time domain channel prediction method and a time domain channel prediction system for an OFDM wireless communication system, which relate to the technical field of adaptive transmission in wireless communication. Frequency domain channel information is converted into time domain tap information by inverse Fourier transform. With respect to each time domain tap information, tap information prediction based on an extreme learning machine is realized, and finally predicted tap information is converted into frequency domain channel information by Fourier transform. To improve a generalization ability of a channel predictor, an output weight of the extreme learning machine is punished by a combination of l2 regularization and l1/2 regularization. The disclosure may provide satisfactory prediction performance and may output a sparse output weight, which reduces the requirement for memory storage. The disclosure ensures adaptive transmission and adaptive coding of wireless communication.

Abstract: Embodiments of the application provides a method for encoding. The method includes: receiving a to-be-encoded data block; encoding the data block at an aggregation level of 2L, where a formula used during the encoding is as follows: [ u . 2 ? ? L u . L ] ? [ G LN 0 G LN G LN ] = ? C . 2 ? ? L C . L ? ( I ) u . L = { u L u L - 1 … u 1 } , u . 2 ? ? L = ? { u 2 ? L u 2 ? L - 1 … u L + 1 } , ? c . L = { c L c L - 1 … c 1 } , c . 2 ? ? L = { c 2 ? L c 2 ? L - 1 … c L + 1 } , G LN = G N ? log 2 ( L ) ( II ) L=2n, and n is a natural number greater than or equal to 0; and outputting an encoded data block.

Abstract: This application provides a coding and decoding method and apparatus. The method includes: performing polarization coding on first to-be-coded information, to obtain first coded information with a bit sequence length of M, where M is a positive integer; sending the first coded information on a first channel corresponding to the first to-be-coded information; performing polarization coding on second to-be-coded information, to obtain second coded information with a bit sequence length of 2M, where the second to-be-coded information includes the first to-be-coded information, and differences between sequence numbers of information bits corresponding to the first to-be-coded information and sequence numbers of information bits at (M+1)th to 2Mth bit positions in information bits corresponding to the second to-be-coded information are sequentially M in ascending order of sequence numbers.

Abstract: A method and a system for selecting important delay taps of channel impulse response are provided, which belong to the field of adaptive transmission technology of wireless communication. The method performs local predictability estimation on all delay taps in the channel impulse response in wireless communication, thereby selecting the important delay taps in the channel impulse response. The disclosure uses recurrence rates of the delay taps to estimate local predictability of the delay taps. Noise delay taps are distinguished from the important delay taps through the local predictability of the delay taps, which improves the identification rate of the important delay taps of the channel impulse response in wireless communication. The disclosure may implement the selection of the important delay taps of the channel impulse response, which provides guarantee for implementing adaptive transmission and adaptive coding of wireless communication.