Abstract: A monomer material for preparing a polymer electrolyte precursor composition capable to form an in-situ polymerized polymer electrolyte, which comprises, consists essentially of, or consists of A1) a first monomer and optionally A2) a second monomer. A polymer electrolyte precursor raw material composition, a polymer electrolyte precursor composition capable to form a polymer electrolyte comprising the monomer material, a polymer electrolyte and an electrochemical device are also provided.

Abstract: Monomers for preparing a polymer electrolyte precursor composition capable to form an in-situ polymerized polymer electrolyte, which comprise, consist essentially of, or consist of A1) a first monomer and A2) a second monomer. A polymer electrolyte precursor raw material composition, a polymer electrolyte precursor composition capable to form a polymer electrolyte comprising the monomers, a polymer electrolyte and an electrochemical device are also provided.

Abstract: A gel composition, in particular a gelled electrolyte, comprising: i) fumed alumina particles, wherein the mean primary particle size of the particle is from 5 to 50 nm and the BET specific surface area is from 40 to 400 m2/g; ii) at least two organic solvents; and iii) a lithium salt; wherein the amount of the alumina particles is 0.2-10% by weight based on the total weight of the gel composition. A method to prepare a gelled electrolyte, a Li-ion battery, a Li-ion battery and a device are also provided.

Abstract: Systems and methods provide for analyzing at least one feature of each segment of a plurality of segments of the audio stream to generate for each segment a prediction value indicating whether there is music in the segment, generating a probability value that there is music in the audio stream based on aggregating the prediction values of the plurality of segments, and causing the audio stream to be identified based on determining that the probability value that there is music in the audio stream meets a predetermined threshold.

Abstract: Systems and Methods describe capturing a plurality of segments of an audio stream, analyzing at least one feature of each segment of the plurality of segments of the audio stream to generate for each segment a prediction value indicating whether there is music in the segment, generating a probability value that there is music in the audio stream based on aggregating the prediction values of the plurality of segments, determining that the probability value that there is music in the audio stream meets a predetermined threshold, and causing the audio stream to be identified based on determining that the probability value that there is music in the audio stream meets a predetermined threshold.

Abstract: Systems and methods provide for capturing a plurality of segments of an audio stream and, for each segment of the plurality of segments of the audio stream: performing feature extraction on an audio signal of the segment using a feature extraction machine learning model that analyzes the audio signal to generate a feature vector for the segment and generating a prediction value for the segment for whether there is music in the segment using the extracted feature vector and a music detector machine learning model. The systems and methods further provide for generating a probability value that there is music in the audio stream based on the prediction value for each of the plurality of segments and causing the audio stream to be identified based on determining that the probability value that there is music in the audio stream meets a predetermined threshold.

Abstract: The invention relates to a safety vehicle capacitor. It includes a box-shaped capacitor shell, lead-out electrode sheet, capacitor core accommodated inside capacitor shell and epoxy resin used to encapsulate the capacitor core.

Abstract: The invention relates to a safety vehicle capacitor. It includes a box-shaped capacitor shell, lead-out electrode sheet, capacitor core accommodated inside capacitor shell and epoxy resin used to encapsulate the capacitor core.

Abstract: Systems and methods for memory-efficient storage and extraction of maximum power reduction (MPR) values in two-carrier wireless data systems are presented. A wireless broadband device can operate under the HSUPA Category 9 standard, in which two carriers can be employed for data uplinks. Due to power saturation, interference, and other factors, transmission output power is limited to various levels depending on channel configuration. Under previous standards using one carrier, the maximum power reduction (MPR) needed to address those issues could be stored on the device, since the total number of MPR values was limited. With the introduction of dual carriers in HSUPA-9, storing all possible MPR values is no longer feasible. Platforms and techniques are disclosed which allow accurate generation of MPR values in a two-carrier system, utilizing the 2nd, 4th, and 6th moments of the complex signals to derive MPR values without attempting to store all possible carrier combinations.

Abstract: Systems and methods for memory-efficient storage and extraction of maximum power reduction (MPR) values in two-carrier wireless data systems are presented. A wireless broadband device can operate under the HSUPA Category 9 standard, in which two carriers can be employed for data uplinks. Due to power saturation, interference, and other factors, transmission output power is limited to various levels depending on channel configuration. Under previous standards using one carrier, the maximum power reduction (MPR) needed to address those issues could be stored on the device, since the total number of MPR values was limited. With the introduction of dual carriers in HSUPA-9, storing all possible MPR values is no longer feasible. Platforms and techniques are disclosed which allow accurate generation of MPR values in a two-carrier system, utilizing the 2nd, 4th, and 6th moments of the complex signals to derive MPR values without attempting to store all possible carrier combinations.