Abstract: Disclosed is a heating device, including a first and second ends of an indoor water supply pipe communicated with a main water supply pipe and a water supply end of a radiator; a valve, a first temperature sensor, a heating and control module and a third temperature sensor arranged between the first and second ends; two ends of the heating and control module connected with a bypass pipe; a first and second ends of an indoor return water pipe communicated with a main return water pipe and a return water end of the radiator; a three-way valve and a second temperature sensor arranged between the first end and the second end of the indoor return water pipe; and a first and second ends of the water pump communicated with a third end of the three-way valve and the indoor water supply pipe.

Abstract: The present invention discloses an active intelligent wellbore pressure control system, which includes a ground multi-parameter online monitoring system (86), a rotary blowout preventer (1), a wellhead back pressure compensation manifold, an automatic plugging material filling device (62), a drilling device, an MPD intelligent control system (87), a remote monitoring and control system (88), and a high-precision hydraulic calculation system (105).

Abstract: Systems and methods for malware detection using multiple neural networks are provided.

Abstract: Disclosed is a heating device, including a first and second ends of an indoor water supply pipe communicated with a main water supply pipe and a water supply end of a radiator; a valve, a first temperature sensor, a heating and control module and a third temperature sensor arranged between the first and second ends; two ends of the heating and control module connected with a bypass pipe; a first and second ends of an indoor return water pipe communicated with a main return water pipe and a return water end of the radiator; a three-way valve and a second temperature sensor arranged between the first end and the second end of the indoor return water pipe; and a first and second ends of the water pump communicated with a third end of the three-way valve and the indoor water supply pipe.

Abstract: A hybrid offshore wind turbine includes a monopile, friction wheel, and suction bucket.

Abstract: The invention provides an offline handwriting individual recognition system and method based on two-dimensional dynamic features.

Abstract: A rock burst hazard prediction method based on vibration wave energy attenuation characteristics of a mine earthquake cluster is provided. The rock burst hazard prediction method comprehensively considers the static load and dynamic load effects of the vibration waves of the mine earthquake cluster based on vibration wave energy attenuation characteristics of the mine earthquake cluster. The static load strength index and the dynamic load strength index involved in the method have clear physical meanings. A comprehensive prediction index calculation model proposed based on the dynamic and static load superposition principle of rock burst occurrence is clear, and the method has a firm theoretical support as well as strong universality and operability. Meanwhile, the updating and adjustment of weights are rapid and the objective judgment and prediction of the final comprehensive prediction results are efficient, and the high-energy mine earthquake and impact behavior area can be effectively predicted.

Abstract: A household water purifier includes a main unit and a filter assembly arranged in the main unit. The filter assembly includes a composite filter core. The composite filter core includes a filter bottle and a filter element located in the filter bottle. The filter element is of a separated structure. In the household water purifier, the filter element is located in the filer bottle; during use, when the filter element needs to be replaced, the filter element can be directly taken out of the filter bottle for replacement; Furthermore, the filter element itself is of a split structure. It is no need to replace the filter element as a whole, just some failed components of the filter element need to be replaced, which further improves convenience of replacement and maintenance of the filter core of the water purifier, and saves maintenance and use costs of the water purifier.

Abstract: A dual-purpose household water purifier includes a main unit and an expansion unit which can be detachably connected. When the main unit is connected with the expansion unit, a booster pump can pressurize tap water entering a filter assembly. In the dual-purpose household water purifier, the main unit can be used as a non-electric drive water purifier. After the tap water enters the filter assembly and is filtered. The purified water flows into the purified water chamber of the pressure bucket, and the user takes the purified water. It is further provided an expansion unit. When the main unit is connected to the expansion unit, the booster pump can pressurize the pipeline, reducing application environmental restrictions on the water purifier. Through arrangement of the expansion unit, the water purifier can be operated in two operation modes of non-electric drive mode and electric drive mode.

Abstract: An apparatus includes a processor to: receive, from a requesting device, a request to perform speech-to-text conversion of a speech data set; within a first thread of a thread pool, perform a first pause detection technique to identify a first set of likely sentence pauses; within a second thread of the thread pool, perform a second pause detection technique to identify a second set of likely sentence pauses; perform a speaker diarization technique to identify a set of likely speaker changes; divide the speech data set into data segments representing speech segments based on a combination of at least the first set of likely sentence pauses, the second set of likely sentence pauses, and the set of likely speaker changes; use at least an acoustic model with each data segment to identify likely speech sounds; and generate a transcript based, at least in part, on the identified likely speech sounds.

Abstract: An apparatus includes a processor to: receive a request to perform speech-to-text conversion of a speech data set; perform pause detection to identify a set of likely sentence pauses and/or speaker diarization technique to identify a set of likely speaker changes; based the set of likely sentence pauses and/or the set of likely speaker changes, divide the speech data set into data segments representing speech segments; use an acoustic model with the data segments to derive sets of probabilities of speech sounds uttered; store the sets of probabilities in temporal order within a buffer queue; distribute the sets of probabilities from the buffer queue in temporal order among threads of a thread pool; and within each thread, and based on set(s) of probabilities, derive one candidate word and select either the candidate word or an alternate candidate word derived from a language model as the next word most likely spoken.

Abstract: Embodiments of the present disclosure provide a method and system for training a model by using training data. The training data includes a plurality of samples, each sample includes N features, and features in the plurality of samples form N feature columns, and the method includes: determining an importance value of each of the N feature columns; determining whether the importance value of each of the N feature columns satisfies a threshold condition; performing a dimension reduction on M feature columns to generate P feature columns in response to the determination that the importance values of the M feature columns do not satisfy the threshold condition, wherein M<N and P<M; merging (N?M) feature columns having importance values that satisfy the threshold condition and the generated P feature columns to obtain (N?M+P) feature columns; and training the model based on the training data including the (N?M+P) feature columns.

Abstract: Systems and methods for malware detection using multiple neural networks are provided. According to one embodiment, for each training sample, a supervised learning process is performed, including: (i) generating multiple code blocks of assembly language instructions by disassembling machine language instructions contained within the training sample; (ii) extracting dynamic features corresponding to each of the code blocks by executing each of the code blocks within a virtual environment; (iii) feeding each code block into a first neural network and the corresponding dynamic features into a second neural network; (iv) updating weights and biases of the neural networks based on whether the training sample was malware or benign; and (v) after processing a predetermined or configurable number of the training samples, the neural networks criticize each other and unify their respective weights and biases by exchanging their respective weights and biases and adjusting their respective weights and biases accordingly.

Abstract: A configuration method and apparatus which resolves a problem that a forwarding delay of a traffic flow or packet is relatively long. The configuration method includes: a mobile edge ME platform manager determining a network forwarding path NFP from an instantiated first MEC application to a first destination application, where the NFP is used to indicate a forwarding path of a traffic flow or packet that is sent by the first MEC application to the first destination application; the ME platform manager sending an NFP creation request to a virtualized infrastructure manager VIM, to request the VIM to create the NFP determined by the ME platform manager; and the ME platform manager associating the NFP created by the VIM with a first traffic flow rule configured for the first MEC application.

Abstract: A model training device according to an embodiment of the present disclosure includes processing circuitry. The processing circuitry is configured to obtain an initial learning model by learning a data set including medical images as learning data. The processing circuitry is configured to evaluate the initial learning model by using a global metric, so as to obtain error data sets each having an outlier from among a plurality of data sets used in the evaluation. The processing circuitry is configured to obtain a plurality of error data set groups by grouping the plurality of error data sets while using a local metric. The processing circuitry is configured to specify model training information with respect to each of the error data set groups.

Abstract: The present disclosure provides methods and an apparatuses for building a data identification model. One exemplary method for building a data identification model includes: performing logistic regression training using training samples to obtain a first model, the training samples comprising positive and negative samples; sampling the training samples proportionally to obtain a first training sample set; identifying the positive samples using the first model, and selecting a second training sample set from positive samples that have identification results after being identified using the first model; and performing Deep Neural Networks (DNN) training using the first training sample set and the second training sample set to obtain a final data identification model. The methods and the apparatuses of the present disclosure improve the stability of data identification models.

Abstract: Embodiments of the present application provide a display terminal and a display control method. When a flexible display screen of the display terminal is bent under a bending force, resistance values of a plurality of sensors in a flexible display panel are also changed under the bending force. An arithmetic unit converts bending information into control information for controlling a display object in the flexible display panel, and a controller controls a dynamic display of the flexible display panel by the control information.

Abstract: The present invention provides a hardware acceleration method and a communications system. The hardware acceleration method includes: sending, by a network functions virtualization orchestrator (NFVO), first request information to a virtualized infrastructure manager (VIM), wherein the first request information is configured to request the VIM to deploy the to-be-accelerated VNF onto a host in a management domain of the VIM, wherein a hardware resource of the host meets a requirement of the to-be-accelerated VNF, and the requirement of the to-be-accelerated VNF includes information indicating a type of a required hardware acceleration resource and a size of the required hardware acceleration resource in the to-be-accelerated VNF; receiving, by the VIM, the first request information from the NFVO; and deploying, by the VIM, the to-be-accelerated VNF onto the host in the management domain of the VIM.

Abstract: An apparatus includes at least one processor to, in response to a request to perform speech-to-text conversion: perform a pause detection technique including analyzing speech audio to identify pauses, and analyzing lengths of the pauses to identify likely sentence pauses; perform a speaker diarization technique including dividing the speech audio into fragments, analyzing vocal characteristics of speech sounds of each fragment to identify a speaker of a set of speakers, and identifying instances of a change in speakers between each temporally consecutive pair of fragments to identify likely speaker changes; and perform speech-to-text operations including dividing the speech audio into segments based on at least the likely sentence pauses and likely speaker changes, using at least an acoustic model with each segment to identify likely speech sounds in the speech audio, and generating a transcript of the speech audio based at least on the likely speech sounds.

Abstract: The invention discloses a method, a system, an apparatus for data storage, and a storage medium. The method for data storage medium includes: acquiring first data; grouping the first data to obtain K packet sub-data; inputting a preset primer into a random generator to obtain 4T random number sequences, 4T>K; determining the packet sub-data corresponding to the ith random number sequence, and performing exclusive or (XOR) operation on the determined packet sub-data to obtain data information DATAi, and obtaining a DNA molecular chain according to the data information DATAi, the preset primer and the generation times capacity of the random generator; performing DNA sequence synthesis on the plurality of DNA molecular chains to obtain target storage data. In the disclosure, in the process of coding the first data to obtain a DNA molecular chain, a random generator is added to greatly simplify the coding process and implement efficient and accurate coding on the first data.