Abstract: An extraction cleaner may include a cleaner body including a pump and a suction motor, a supply tank configured to be removably coupled to the cleaner body and configured to receive a first cleaning fluid, an additive tank configured to receive a second cleaning fluid, a recovery tank configured to be removably coupled to the cleaner body, and a cleaning tool including a fluid applicator and a cleaning assembly, the fluid applicator is configured to deliver one of the first cleaning fluid or a mixture of the first cleaning fluid and the second cleaning fluid to a surface to be cleaned and the cleaning assembly is configured to extract at least a portion of the delivered first cleaning fluid or at least a portion of the delivered mixture.

Abstract: An extraction cleaner may include a cleaner body including a pump and a suction motor, a supply tank configured to be removably coupled to the cleaner body and configured to receive a first cleaning fluid, an additive tank configured to receive a second cleaning fluid, a recovery tank configured to be removably coupled to the cleaner body, and a cleaning tool including a fluid applicator and a cleaning assembly, the fluid applicator is configured to deliver one of the first cleaning fluid or a mixture of the first cleaning fluid and the second cleaning fluid to a surface to be cleaned and the cleaning assembly is configured to extract at least a portion of the delivered first cleaning fluid or at least a portion of the delivered mixture.

Abstract: A system of undoing data and a method of undoing data based on a data flow management are provided. The system of undoing data based on the data flow management includes a display module, a project task management module, and a task engine. The display module receives an undone command, so that the project task management module performs a verification operation. When a result in response to the verification operation is a result of passing the verification operation, the project task management module generates a historical data list according to the undone command. The task engine, the project task management module, and the display module respectively delete relevant data according to the undone command and the historical data list and generate an undone result and new task information according to the deleted relevant data. The display module displays the undone result and the new task information.

Abstract: A system (204) can respond to detection of an uncorrectable error (UE) (254) in memory (246) based on fault-aware analysis. The fault-aware analysis enables the system (204) to generate a determination of a specific hardware element of the memory (246) that caused the detected UE (254). In response to detection of a UE (254), the system (204) can correlate a hardware configuration (256) of the memory (246) device with historical data indicating memory (246) faults for hardware elements of the hardware configuration (256). Based on a determination of the specific component that likely caused the UE (254), the system (204) can issue a corrective action for the specific hardware element based on the determination.

Abstract: An extraction cleaner may include a cleaner body including a pump and a suction motor, a supply tank configured to be removably coupled to the cleaner body and configured to receive a first cleaning fluid, an additive tank configured to receive a second cleaning fluid, a recovery tank configured to be removably coupled to the cleaner body, and a cleaning tool including a fluid applicator and a cleaning assembly, the fluid applicator is configured to deliver one of the first cleaning fluid or a mixture of the first cleaning fluid and the second cleaning fluid to a surface to be cleaned and the cleaning assembly is configured to extract at least a portion of the delivered first cleaning fluid or at least a portion of the delivered mixture.

Abstract: A temperature sensor is described. The temperature sensor includes a body, provided with a channel for heat-exchanging liquid flowing at an interior of the body; and a sensing assembly, arranged on the body and including a temperature sensing member and a sensing casing, in which one end of the sensing casing is opened, a cavity is formed inside the sensing casing, the sensing casing is mounted on the body, a closing end of the sensing casing extends into the channel, the temperature sensing member is arranged in the cavity to sense the temperature of the heat-exchanging liquid through the sensing casing, and a thermal conductivity of the sensing casing is larger than a thermal conductivity of the body. By using the material with a higher thermal conductivity in the sensing casing, the temperature conduction speed can be accelerated, and the detecting result of the temperature sensor can be more accurate.

Abstract: A connecting device and an electricity-consuming apparatus are provided. The connecting device includes a first fixing member, a second fixing member and an elastic connecting assembly. The first fixing member and the second fixing member are configured to be fixedly connected to different devices respectively, and the first fixing member is movable relative to the second fixing member through the elastic connecting assembly. The elastic connecting assembly comprises an elastic member and a moving plate sandwiched between the first fixing member and the second fixing member in a first direction, the second fixing member is fixedly connected to the moving plate, at least one of the moving plate and the first fixing member is provided with a concave part formed by concaving inward in the first direction, and the elastic member is arranged at the concave part.

Abstract: The present invention relates to the field of fluid heat transfer, and discloses a heat transfer enhancement pipe as well as a cracking furnace and an atmospheric and vacuum heating furnace including the same. The heat transfer enhancement pipe (1) includes a pipe body (10) of tubular shape having an inlet (100) for entering of a fluid and an outlet (101) for said fluid to flow out; internal wall of the pipe body (10) is provided with a fin (11) protruding towards interior of the pipe body (10), the fin (11) spirally extends in an axial direction of the pipe body (10), wherein a height of the fin (11) gradually increases from one end in at least a part extension of the fin. The heat transfer enhancement pipe can reduce thermal stress of itself, thereby increasing service life of the heat transfer enhancement pipe.

Abstract: Novel methods and systems for adapting a voice cloning synthesizer for a new speaker using real speech data are disclosed. Utterances from one or more target speakers are parameterized and are used to initialize an embedding vector for use with a voice synthesizer, by means of clustering the utterance data and determining the centroid of the data, using a speaker identification neural network, and/or by finding the closest stored embedded vector to the utterance data.

Abstract: A connection structure includes a male connector, a female connector including a first clamping portion and a through hole for inserting the male connector, a marking member including a second clamping portion configured to be clamped with the first clamping portion, and a locking member installed on the female connector. The locking member is configured to move from a first position to a second position when an insertion depth of the male connector reaches a preset value, so as to lock the male connector and drive the second clamping portion to separate from the first clamping portion.

Abstract: Described herein is a method of processing an audio signal using a neural network or using a first and a second neural network. Described is further a method of training said neural network or of jointly training a set of said first and said second neural network. Moreover, described is a method of obtaining and transmitting a latent feature space representation of a perceptual domain audio signal using a neural network and a method of obtaining an audio signal from a latent feature space representation of a perceptual domain audio signal using a neural network. Described are also respective apparatuses and computer program products.

Abstract: A neural network system for predicting frequency coefficients of a media signal, the neural network system comprising a time predicting portion including at least one neural network trained to predict a first set of output variables representing a specific frequency band of a current time frame given coefficients of one or several previous time frames, and a frequency predicting portion including a at least one neural network trained to predict a second set of output variables representing a specific frequency band given coefficients of one or several frequency bands adjacent to the specific frequency band in said current time frame. Such a neural network system forms a predictor capable of capturing both temporal and frequency dependencies occurring in time-frequency tiles of a media signal.

Abstract: The present invention relates to a method for predicting transform coefficients representing frequency content of an adaptive block length media signal, by receiving a frame and receiving block length information indicating a number of quantized transform coefficients for each block in the frame, the number of quantized transform coefficients being one of a first or second number, wherein the first number is greater than the second number, determining a first block has the second number of quantized transform coefficients, converting the first block into a converted block having the first number of quantized transform coefficients, conditioning a main neural network trained to predict at least one output variable given at least one conditioning variable, the at least one conditioning variable being based on information regarding the converted block and block length information for the first block, providing at least one predicted transform coefficients from an output stage of the main neural network.

Abstract: Radio frequency amplifier (200) assembly with effective prevention of RF interference.

Abstract: Apparatus, systems, and articles of manufacture are disclosed teaching an apparatus comprising an extender including a body and a tab, the tab coupled to the memory device, a first surface of the tab to be aligned with a second surface of the memory device. Examples disclosed herein further include a bracket to extend across the second surface of the memory device and the first surface of the tab, the bracket coupled to the first surface of the tab via fasteners.

Abstract: Computer-implemented methods for speech synthesis are provided. A speech synthesizer may be trained to generate synthesized audio data that corresponds to words uttered by a source speaker according to speech characteristics of a target speaker. The speech synthesizer may be trained by time-stamped phoneme sequences, pitch contour data and speaker identification data. The speech synthesizer may include a voice modeling neural network and a conditioning neural network.

Abstract: A method for cracking crude oil includes delivering the crude oil to a first tube group of a convection section of a cracking furnace for preheating and then performing vaporization to obtain a first gas phase and a first liquid phase; performing high-pressure extraction on the first liquid phase to obtain a non-asphalt oil and an asphalt; and mixing the first gas phase and the non-asphalt oil with water vapor respectively, or mixing the first gas phase with the non-asphalt oil prior to mixing with water vapor, then delivering the same to a second tube group of the convection section of the cracking furnace for heating, followed by delivering same to a radiation section of the cracking furnace for cracking to obtain a cracked product, and separating the cracked product to obtain low-carbon olefins.

Abstract: Described herein is a method of waveform decoding, the method including the steps of: (a) receiving, by a waveform decoder, a bitstream including a finite bitrate representation of a source signal; (b) waveform decoding the finite bitrate representation of the source signal to obtain a waveform approximation of the source signal; (c) providing the waveform approximation of the source signal to a generative model that implements a probability density function, to obtain a probability distribution for a reconstructed signal of the source signal; and (d) generating the reconstructed signal of the source signal based on the probability distribution. Described are further a method and system for waveform coding and a method of training a generative model.

Abstract: Novel methods and systems for adapting a voice cloning synthesizer for a new speaker using real speech data are disclosed. Utterances from one or more target speakers are parameterized and are used to initialize an embedding vector for use with a voice synthesizer, by means of clustering the utterance data and determining the centroid of the data, using a speaker identification neural network, and/or by finding the closest stored embedded vector to the utterance data.