421 results about "One-hot" patented technology

A method of cooling a data centre having at least one hot aisle (145) and at least one cold aisle (144), including the steps of producing cooling air having controlled to have temperature and relative humidity within certain pre-defined limits; supplying the cooling air to a plurality of items of IT equipment (143) located in the data centre between the cold aisle and the hot aisle; measuring the velocity of air flowing from the hot aisle to the cold aisle through an opening (150) between the hot aisle and the cold aisle; and controlling the rate of supply of cooling air to the items of IT equipment in dependence on the velocity of air so measured.

The invention discloses an implementation method of a fusion network question and answer system based on a multi-attention mechanism, which comprises the following steps of constructing a question andanswer system network model, preprocessing an original data set to obtain a standby data set, and performing text length distribution analysis; subjecting text in standby data set to one-hot vector representation, using a CBOW model to train one-hot word vector and forming a word2vec word list; adjusting the sequence length of each sentence in the text, and adding a sentence end mark; training the word2vec vector by using an ELMO language model to obtain an ELMO word vector; encoding the ELMO vector to obtain a sentence vector; performing coarse-fine granularity attention on the sentence vectors respectively to obtain memory vectors and attention vectors based on each word; carrying out vector splicing to obtain expression vectors based on words and sentences; and decoding an answer representing the vector generation question sentence. According to the method, the representation ability of sentences is improved through an ELMO language model; and various attention mechanisms are fused, so that the decision making accuracy of the system is improved, and the interpretability of the system is enhanced.

A data storage device with a FLASH memory and an operating method for the data storage device are disclosed. According to the disclosure, the space of the FLASH memory is allocated to include groups of data blocks, a plurality of shared cache blocks (SCBs) and a plurality of dedicated cache blocks (DCBs). Each SCB is shared by one group of data blocks, for the write data storage when any data block of the group of data blocks is exhausted. The DCBs are allocated for the hot data storage. Each DCB corresponds to one hot logical block.

The embodiment of the invention discloses a method and device for detecting network hot topics found based on a maximal clique. The method comprises the following steps of: acquiring data of a network news website, a forum, a blog and a microblog in a real time; carrying out word segmentation, word frequency statistics and other processing on the acquired data to find all hot point word pairs and construct a hot point word pair set; expressing each hot-point word by using a unique serial number; viewing the hot point word pair set as an undirected graph and excavating the undirected graph to obtain all maximal cliques; and transforming each maximal clique into a word combination for expressing one hot point topic. The invention also discloses a device for detecting the network hot topics. According to the embodiment of the invention, the hot point topics in the network can be accurately found in a real time, the detection speed and precision of the hot point topics are improved and higher practical value is obtained.

The high-dielectric constant composite material contains carbon nanotube 2-12 vol%, BaTiO3 20 vol% and organic polyvinylidene fluoride 68-78 vol%. The preparation process is one hot pressing process with low forming temperature and short period. The composite material has high dielectric constant over 450, simple preparation process and high toughness. Through regulating the content of additive components and different physical and chemical treatment, the dielectric constant and toughness may be altered obviously. It has wide application foreground.

An air conditioning system for cooling an environment in an over-the-road vehicle is provided. The air conditioning system includes an electrically driven, variable speed compressor, which enables operation of the system when the engine of the over-the-road vehicle is not running. The system is modular and is adapted to be installed in the side luggage compartment of the vehicle to enable existing vehicles to be retrofitted to provide no-idle air conditioning. The housing of the system defines two flow paths therethrough; one cold air path and one hot air path. The hot air path is configured to intersect the condenser at least two times, and draws and expels the air through the same wall of the housing. An air direction device is used to reduce the amount of air recirculation through the hot air path to increase the efficiency of the system.

A system and method are provided for storing electric energy in the form of thermal energy. A thermoelectric energy storage system includes a working fluid circuit for circulating a working fluid through a heat exchanger, and a thermal storage medium circuit for circulating a thermal storage medium. The thermal storage medium circuit includes at least one hot storage tank, an intermediate temperature storage tank, and a cold storage tank connected together via the heat exchanger. A proportion of the storage medium is redirected to or from the intermediate storage tank from or to the hot or cold storage tank, joining another proportion which flows directly between the cold and hot storage tank.

The invention discloses a data reconstruction method for Redundant Array of Independent Disks (RAID), which is used for data reconstruction of RAID. The RAID comprises a plurality of data disks and at least one hot spare disk; wherein, the amount of the hot spare disk is less than that of the data disk. The method comprises the following steps: when RAID is in normal operation, part of data in each data disk is copied into the hot spare disk; when a data disk breaks down, data reconstruction is carried out on RAID according to the stored data in the hot spare disk which are from the broken-down data disk and the data of other data disks. In the invention, when the data disk is in normal operation, data in the data disk is copied into the hot spare disk so as to reduce reconstructed data volume of RAID, shorten reconstructed time of RAID and lower the risk of data corruption. The invention also discloses a device which applies the method provided in the invention.

A content addressable memory (CAM) device, method, and method of generating entries for range matching are disclosed. A CAM device (800) according to one embodiment can include a pre-encoder (806) that encodes range bit values W into additional bits E. Additional bits E can indicate compression of range rules according to particular bit pairs. A CAM array (802) can include entries that store compressed range code values (RANGE) with corresponding additional bit values (ENC). Alternate embodiments can include pre-encoders that encode portions of range values (K1 to Ki) in a “one-hot” fashion. Corresponding CAM entries can include encoded value having sections that each represent increasingly finer divisions of a range space.

The invention discloses an intelligent commodity recommending method based on word vector data driving. The method includes the following steps: data pre-processing, word vector generation, score prediction constructing, model training and score prediction. The method includes the following steps: using a word vector method to take user numbers, commodity numbers and commodity scores as semantic words, changing the semantic words to a sparse vector by conducting one-hot encoding, then multiplying the sparse vector and a weight matrix and mapping a high-dimension and sparse original vector to a dense, continuous and fixed and low-dimension feature space, then inputting the original vector to a deep model for carrying out training to obtain weight parameters of each layer of a model, predicting and scoring a new user's favor to the commodity by using a well-used model so as to complete intelligent recommendation of the commodity to the user. According to the invention, the method applies the word vector method which classifies texts to score prediction and commodity recommendation which is based on favor of the user of an e-commerce platform to the commodity. The method can ensures precision and provide better explanation.

The invention discloses an intelligent hand washing, disinfecting and drying all-in-one machine, and mainly aims to provide an intelligent hand washing, disinfecting and drying all-in-one machine having the functions of washing hands, drying and disinfecting. The intelligent hand washing, disinfecting and drying all-in-one machine disclosed by the invention comprises a shell, a power line, a program control board and an infrared induction device, wherein the program control board is arranged in the shell; a disinfectant supply device is connected with a first water outlet channel of a three-way water faucet; a liquid soap supply device is connected with a second water outlet channel of the three-way water faucet; the water inlet of a constant-temperature water heater is connected with an external water inlet pipeline; the water outlet of the constant-temperature water heater is connected with a third water outlet channel of the three-way water faucet through a pipeline; a hot-air fan is connected with at least one hot air outlet formed in the shell through a ventilation pipeline; and the infrared induction device is arranged on the shell. The intelligent hand washing, disinfecting and drying all-in-one machine disclosed by the invention has the advantages of simple structure, small occupied space size, multiple functions and cost saving.

The invention discloses a method for completing and predicting an attribute missing data set based on a generative adversarial network. The method comprises the following steps: 1) normalizing data minmax and using one hot code for discrete attribute, wherein the missing value is marked as 0; 2) using that data set to establish a missing position coding vector with respect to the sample; 3) constructing a generative antagonistic network and an auxiliary prediction network for data filling and label prediction; 4) restoring that result before minmax normalization according to the maximum and minimum value in the attribute; 5) selecting a suitable super parameter through testing. The data distribution information and the label information in the data set are fully utilized, and at the same time, another auxiliary prediction network included in the method can directly input attribute missing data to give the prediction result of the label after the training is completed. The process is simple and has higher prediction accuracy.

An invention is afforded for a wall mountable universal serial bus (USB) and alternating current (AC) power sourcing receptacle. The invention includes an AC electrical receptacle that is capable of providing AC voltage of at least 120 volts. In addition, a USB electrical receptacle is included that is capable of providing a 5 volt regulated direct current (DC) voltage. At least one hot wire connection capable of facilitating carrying of a current from a source to a load, and at least one neutral wire connection capable of facilitating carrying of a current from the load to the source is included. Also included is a regulated voltage sourcing unit (RVSU) capable of transforming unregulated AC power to 5 volt regulated DC power.

A method is provided, the method comprising testing at least one hot-pluggable peripheral hardware device and a computer system by simulating hot-plugging the at least one hot-pluggable peripheral hardware device using a test fixture inserted between the computer system and the at least one hot-pluggable peripheral hardware device. The method also comprises monitoring at least one effect of testing the at least one hot-pluggable peripheral hardware device and the computer system.

The invention discloses a video description method based on multi-feature fusion. The method is characterized in that (1) deep spatial-temporal features of a video are extracted by fusing traditional CNN features and SIFT flow features; (2) an S2VT sentence generation model with added average pooling features being video overall features is adopted to generate corresponding sentence description according to the deep spatial-temporal features extracted in the step (1); and (3) a word2vec word vector method is adopted to replace one-hot vector word representation to optimize the sentence generation model in the step (2). The method has the advantages that more robust spatial-temporal features can be better extracted through multi-feature fusion; meanwhile, the average pooling features are added into the sentence generation model, so that more relations are established between visual information and words; finally, the word2vec word vector method is adopted to replace one-hot vector word representation, so that more relations are established between words, and video description performance is effectively improved.

The invention discloses a method for identifying a sound fault based on a mel energy spectrum and a convolution neural network. The method comprises the following steps: first, performing pre-emphasison initially input audio data; then, performing framing and windowing processing on the data; after that, performing fast Fourier transform on framed and windowed data; extracting energy features ona frequency domain, processing an energy spectrum by using a set of mel-scale triangular filter banks; and after that, converting the data into a Mel energy spectrum by using energy in different frequency domains corresponding to each frame as a Y axis, and different frames in a time domain as an X axis. After that, the energy spectrum needs to be further framed to adapt to an input of a CNN (convolution neural network). Each frame is a sample, and one-hot coding of a label corresponding to each sample is used as an output of the CNN to train a CNN model until a network training error reachesthe minimum. During prediction, a probability value of each type of label is output, and a label with the largest probability value is taken as a final discrimination result.

The invention provides a news sentence clustering method based on semantic similarity. The method includes the following steps: preprocessing news sentences of a corpus, and extracting available words; utilizing the available words to train a continuous bag-of-words model to obtain an initial word vector of each available word; utilizing an initial sentence vector of each news sentence and the initial word vectors of the left and right adjoining available words of a certain available word in the news sentence to train the continuous bag-of-words model in an iterative manner to obtain a currentword vector of each available word in the news sentence and a final sentence vector of the news sentence; merging an average value of the word vectors of all the available words, one-hot vectors of high-frequency words and the final sentence vector of each news sentence to obtain a semantic vector of the news sentence; and calculating distances between the semantic vectors to obtain the semanticsimilarity between the different news sentences, and clustering the news sentences of the corpus in accordance therewith. The invention also provides an electronic device and a computer-readable storage medium.

A bus arbiter for arbitrating bus access requests from N bus requestor devices. The bus arbiter comprises N one-hot registers, each one-hot register associated with a corresponding bus requester device. Each one-hot register contains N priority bits rank-ordered from a lowest priority bit to a highest priority bit. Only one priority bit is enabled to indicate a priority of the corresponding bus requester device. The bus arbiter compares the priority bits in each one-hot register with a plurality of request signals received from the bus requester devices and grants bus access to the highest priority bus requester device.

The embodiment of the invention discloses a method and server for pushing information based on a filtering and clustering method. The method comprises the steps that a geographical range is divided into more than one block, the number of users in each block is obtained; according to the obtained number of the users, the blocks of which the number of users is smaller than a preset value are filtered out; according to the reserved block after being filtered, adjacent blocks form a continuous area serving as a hot area to be stored, and more than one hot area is stored; the users in the hot areas are provided with service. According to the technical scheme, the geographical range is divided into the blocks, the blocks are filtered and clustered according to the number of the users in the blocks, the hot areas are formed, richer service is provided for the current users in the hot areas, the filtering and clustering are easy in calculation, the processing time is short, the blocks with a small number of users are filtered, the blocks with a large number of users are clustered to form the hot areas, expenses for calculation are reduced, and maintenance cost is lowered greatly.

Disclosed is a message display method in a mobile communication terminal, which includes the steps of receiving a message, detecting message information from the received message, and displaying detected caller information on LCD by a scroll system. The present invention scrolls message information or message contents on an internal or external LCD automatically r selectively so that a user enables to check a sort of message and caller through an LCD window in direct without manipulating a message check key. Moreover, when receiving a message, the present invention enables to check message contents by a least key manipulation, and particularly, carry out all operations relating to a message using only one hot key for a user's convenience.

A flexible heater 200 includes at least one hot wire resistive element 215 and a thermally insulating and electrically insulating flex holding material (201, 202) surrounding the resistive element (215) for holding the resistive element (215). A temperature sensor (225) having at least a portion embedded in the holding material is operable for measuring a temperature of at least one location along a length of the resistive element (215). A monitored flexible heater system (600) includes a flexible heater (610) including at least one resistive element, a thermally insulating and electrically insulating flex holding material surrounding the resistive element and a temperature sensor (615) having at least a portion embedded in the holding material operable for measuring a temperature of at least one location along a length of the resistive element. The system (600) includes a temperature measurement system (620) coupled to the temperature sensor (615) for measuring a temperate at the location, a processor (625) coupled to the temperature measurement system to receive data including the temperature, and a circuit breaking switch (630) positioned in a power path that delivers power to the flex heater, wherein the processor (625) is operable to provide control signals to control a state of the switch, wherein the control signals are operable to open the switch (630) when the temperature exceeds a predetermined temperature.

The invention discloses a method for advertisement click rate prediction based on a GRU neural network. The method constructs a time-series data based on advertisements when preprocessing data, , andenhances the integrity and the stability between the series data compared with the user series data; and then text features are digitally encoded by one-hot coding, and only the subscript with a bit value of 1 in the mapped value is taken as the mapped value of the character. In this way, the dimension of the feature is greatly reduced, and the training speed of the model is improved. According tothe method for advertisement click rate prediction based on the GRU neural network, the invention combines a regression algorithm with a deep learning algorithm to form a final prediction method. Firstly, the feature selection is performed with a ridge regression algorithm to reduce the interference of invalid features on model training; then training and predicting are carried out with the improved GRU neural networks based on LSTM neural network. The GRU prediction model can improve the prediction accuracy compared with a RNN prediction model, , and can quickly improve the prediction accuracy and can perform a faster model training compared with the LSTM prediction model.

The invention discloses a phishing website URL detection method based on depth learning, which can detect the phishing website on the Internet in real time only according to the website URL. At first,the URL string sequence is encoded into one-Hot two-dimensional sparse matrix, then transformed into dense character embedding matrix and input to a convolution neural network, local depth features are extracted, and then the input and the output of convolution neural network are input to long-term and short-term memory network, the correlation of URL sequences is captured, and finally a softmaxmodel is accessed to classify URLs. The invention can avoid redundant feature engineering, extract local depth correlation feature through convolution neural network, learn long-range dependency in URL through long-term and short-term memory network, and quickly and accurately detect phishing website URL.

The invention provides inquiring and sending method, device and system for hot information. The sending method comprises the steps as follows: receiving a hot point inquiry request including inquiring destination and hot point commend constraint condition and sent by a user terminal; confirming the property information on hot points distributed in a target region, wherein the target region is a region covering the preset range of the inquiry destination; respectively calculating weighting commend values of the hot points according to the property information and the hot point commend constraint condition; and sending the hot information including the position information about at least one hot point and the weighting commend information thereof to the user terminal. The invention achieves the inquiring and the sending of the hot information according to the demand of the user, thereby providing more reference information for the user to select the hot points, and facilitating meeting the demand of the user and improving resource utilization rate and service quality of the hot points.

The invention discloses a FPGA (field programmable gate array) chip-based TDC (time-digital converter). The TDC comprises a pulse signal generator, a multi-tap signal delay chain, a trigger array, two parallel signal change edge search circuits, a rising edge 'one-hot' coding circuit, a falling edge 'one-hot' coding circuit, a calibration circuit and a conversion result output circuit, wherein the rising edge 'one-hot' coding circuit is parallel to the falling edge 'one-hot' coding circuit; the pulse signal generator is used for generating a negative pulse and feeding the negative pulse into the signal delay chain; the trigger array is used for latching states of all taps; after the taps are resorted, the states of the taps are transmitted to the signal change edge search circuits to search a rising edge and a falling edge of the negative pulse respectively, and corresponding 'one-hot' codes are generated. The TDC can remove 0 delay units on the delay chain to the maximum extent, reduce 'bubbling' phenomena in latch-state thermometer codes and enable performance indexes in three aspects of measurement precision, measurement dead time and resource occupancy to be reasonably balanced so as to realize a high-performance measurement system of the TDC.

A weather forecast-based fluid heating control system having at least one hot fluid delivery point, the control system including a controller adapted to control a fluid supply to a setpoint temperature, a means for obtaining the forecasted air temperature at a future time of the location of the control system and a means for obtaining the current air temperature at a current time of the location of the control system. The setpoint temperature of the fluid supply is adjusted by an adjustment amount if the difference between the forecasted air temperature of the location of the control system and the current temperature at the current time of the location of the control system exceeds a pre-determined threshold.