222 results about "Digital number" patented technology

The invention discloses a disordered transaction control method based on a block chain account model. The disordered transaction control method based on a block chain account model is characterized in that based on an account model, a user utilizes a unique ID (such as UUID) taken from an increment digital number as the unique identifier for transaction; a node determines whether the behavior of double expenditure exists by determining whether a new transaction ID exists in a historical transaction ID list of the user; an order dependence relationship does not exist between the transaction IDs; an accounting node can packing the transactions into blocks in any order; and the successive dependence relationship of the service layer between the transactions can be guaranteed when a client issues a transaction without influencing disordered packing of the accounting node. The disordered transaction control method based on a block chain account model utilizes the unique ID to prevent double expenditure and playback attack, enables the transaction to not depend on the fixed order, and can use a disordered mode to directly enters the chain, thus satisfying the scene requirement for single-account high concurrent transaction of the client, and avoiding the situation that other transactions are postponed after the transactions are lost in the past.

The invention discloses an environmental satellite 1-based surface temperature single-window inversion method. The method comprises the following steps of: 1, acquiring remote sensing data of an environmental satellite 1B, namely an HJ-1B satellite, of the surface of a region to be tested, preprocessing the remote sensing data to acquire image data and converting a pixel brightness digital number (DN) value of the image data into radiance; 2, performing atmospheric correction on the image data by using an image-based continental offshore stratigraphic test (COST) atmospheric correction model; 3, estimating emissivity epsilon of the surface of the region to be tested by a normalized difference vegetation index (NDVI) threshold method; and 4, inverting the surface temperature by a single-window algorithm according to calculation results obtained in the steps 1 to 3. In the method, the image-based COST model atmospheric correction method and the surface temperature single-window algorithm with no need of an atmospheric water vapor content parameter are applied to the HJ-1B satellite remote sensing data, so that the inversion of the surface temperature is realized.

A machine used for acquisition of digital images. A counter tracks the elapsed time since the beginning of image acquisition. When an analog sensor output changes by a pre-set amount, the count is stored as the digital number value representing the sensor output. This eliminates the need for a traditional analog-to-digital (A/D) conversion of the sensor output. In an array of sensors, the circuitry of the invention is simple enough to enable massively parallel A/D conversion. The invention can be implemented in an array using a separate counter for each sensor, but it is also possible to reduce costs by sharing counters among the sensors.

A sequence of n coefficients is compressed by determining a cost-determined sequence of n coefficient indices represented by a cost-determined sequence of (run, index derivative) pairs under a given quantization table and run-index derivative coding distribution, wherein each sequence of (run, index derivative) pairs defines a corresponding sequence of coefficient indices such that (i) each index in the corresponding sequence of coefficient indices is a digital number, (ii) the corresponding sequence of coefficient indices includes a plurality of values including a special value, and (iii) each (run, index derivative) pair defines a run value representing a number of consecutive indices of the special value, and an index-based value derived from a value of the index following the number of consecutive indices of the special value. This involves (a) using the given quantization table and run-index derivative coding distribution to formulate a cost function for a plurality of possible sequences of (run, index derivative) pairs; (b) applying the cost function to each possible sequence in the plurality of possible sequences of (run, index derivative) pairs to determine an associated cost; and, (c) selecting the cost-determined sequence of (run, index derivative) pairs from the plurality of possible sequences of (run, index derivative) pairs based on the associated cost of each of the plurality of possible sequences of (run, index derivative) pairs; and encoding the corresponding selected cost-determined sequence of (run, index derivative) pairs using entropy coding based on a run-index derivative coding distribution.

According to one exemplary embodiment, a digital phase detector includes a phase/frequency detector, where the phase/frequency detector is configured to receive a reference signal and a divided oscillator feedback signal and output a first pulse-width modulated signal and a second pulse-width modulated signal. The digital phase detector also includes a first time-to-digital converter, where the first time-to-digital converter is coupled to the phase/frequency detector. The first time-to-digital converter is configured to receive and convert the first pulse-width modulated signal to a first digital number. The digital phase detector further includes a second time-to-digital converter coupled to the phase/frequency detector and configured to receive and convert the second pulse-width modulated signal to a second digital number. The digital phase detector further includes a summation element, where the summation element is configured to subtract the second digital number from the first digital number and output a digital phase error signal.

The invention discloses a cross radiometric calibration method of a hyper-spectral sensor based on a multi-spectral sensor. The method is used for solving the cross radiometric calibration problem of the hyper-spectral sensor without a matched reference hyper-spectral image. The method comprises the following steps of: selecting cloudless hyper-spectral image data; selecting a multi-spectral reference image according to the hyper-spectral data; selecting a uniform ground object on the image as an interesting region; performing geometric precise correction of the two images; calculating entrance pupil radiances of various types of wave bands of the two sensors by using an atmospheric radiation transmission model; solving spectrum matching factors of various types of corresponding wave bands according to a certain rule; solving the entrance pupil radiances of the various types of wave bands of the hyper-spectral sensor by using the spectrum matching factors and the multi-spectral data; and linearly fitting pixel DN (Digital Number) values in the interesting region of the hyper-spectral image to be calibrated and the radiances of corresponding pixels of the multi-spectral reference image after being corrected through the spectrum matching factors to obtain calibration coefficients of the various types of wave bands of the hyper-spectral sensor. The method has the advantages of good stability, high reliability, high precision and the like.

A method for detecting the presence of flicker in video images includes obtaining luminance data from sampled image fields and analyzing the luminance data to obtain a digital number characterizing the brightness of the luminance data. Frequency analysis is performed on a time-series of digital numbers collected over multiple sampled image fields to provide a signal indicative of the spectral energy at a flicker frequency band and a signal indicative of the spectral energy at a non-flicker frequency band. A ratio of the two spectral energy signals is computed as the flicker detect indicator. Multiple flicker detect indicators are accumulated to generate a flicker present signal. In one embodiment, the flicker detect indicator is accumulated only when the ratio has a value greater than a first threshold and the flicker present signal is asserted only when the number of flicker detect indicator signals accumulated exceeds an entry value.

The invention relates to a wiring harness test control board and a wiring harness test control method. The method comprises the following steps: singlechips are initialized; a singlechip (1) detects whether a keypress signal exists; the input keypress signal is transmitted to a singlechip (2), and the singlechip (2) displays pressed keys; whether a pound key is pressed is judged, and the keypress signal saved in the singlechips is cleared to wait for the re-entry; the singlechip (2) judges whether a pound key is pressed; a six-digital number which is input through a keyboard is saved; test procedures with corresponding codes are executed, the singlechip (1) outputs a test signal, and the singlechip (2) detects an input signal; the judgment is made by comparing with the standard; a test result is displayed on a liquid crystal; the alarm is performed if the test result is unqualified; and a serial port communication program is transferred to a host computer. The wiring harness test control board and the wiring harness test control method solve detection problems of complex wiring harnesses, for example, wiring harnesses for automobiles have more branches, relays and diodes are arranged on the wiring harnesses, and can detect three states, namely 24V, grounding and suspension, and whether the relays on the wiring harnesses work normally and the diodes are short-circuited and open-circuited.

The invention discloses a distributed water depth prediction method based on GWR (geographically weighted regression) and a BP (back propagation) neural network. The method comprises the following steps: firstly, preprocessing a remote sensing image; secondly, establishing sampling data based on an actually measured water depth value acquired by a laser radar and DN (digital number) values of blue and green wavebands of corresponding coordinate points in the remote sensing image; thirdly, dividing a to-be-predicted region into a plurality of sub-regions based on the GRW method and establishing a neural network water depth predication model of each sub-region; finally, designing weighting factors of the neural network water depth prediction models of all regions around each to-be-predicted point in the to-be-predicted region to establish a distributed neutral network water depth prediction model of the whole to-be-predicted region. Therefore, the distributed water depth prediction method is not influenced by seawater quality, seabed type or space diversity, can quickly and conveniently establish a nonlinear relationship between the multispectral remote sensing image and the actual water depth value, and has a very good practical value for prediction of shallow water depth.

A system for personalizing one or more electrical circuits having plurality of layers with electrical characteristics. The layers being produced by an electrical characteristic determination process (ECDP). The system for personalizing includes a wafer stage for receiving a wafer in order to produce a plurality of electrical circuits. The system is configured to apply a personalization process during production of the layers. The personalization process includes using a first ECDP in the layer to produce identical electrical characteristics on the wafer in each of the plurality of electrical circuits, and using a second ECDP in the layer to modify one or more electrical characteristics in selected electrical circuits so as to incorporate in the selected circuits an individualized digital number, giving rise to the desired personalizing of one or more of the specified electrical circuits. Related apparatus and methods are also provided.

A touch screen system includes a touch screen assembly (30,31) and a touch screen controller (1A) coupled to terminals (24,25,26,27) of the touch screen assembly (30,31), the touch screen controller (1A) including a controller (41) and an analog to digital converter (22) for generating multiple digital data numbers representing multiple coordinate values, respectively, of a particular touch point (Q) of the touch screen assembly (30,31) in response to control signals (42) generated by the controller (41). A sorting technique is performed to sort the digital data numbers in order of their values, respectively. An averaging technique is performed on at least some of the sorted digital data numbers, including a median sorted digital number.

The invention discloses a universal multi-operand summator which can be used for achieving synchronous parallel adding of multiple multi-digit binary numbers in the digital arithmetical computation field. The universal multi-operand summator comprises a module 110, a module 120 and a module 130, and the module 110 uses a switching circuit for achieving parallel adding of multiple single-digit binary numbers from structural aspect. Adding of two single-digit numbers and single-digit carry numbers is also achieved by the module 120 through the switching circuit. The module 130 is composed of the module 110, the module 120 and the like, and carry computation and transmission exceeding the operand digital number is completed. Synchronous parallel computation of operand values corresponding to all digit rights is carried out by using the module 110, then according to digit right correspondence, addition numbers are regrouped based on a computation result, the module 110 is used again until that each digit right only has two addition numbers after regrouping, carry generation and transmission are achieved through the module 130, and a final addition sum is acquired by the module 120. The universal multi-operand summator is simple in circuit structure and neat in design, and a large amount of time and hardware cost can be reduced.

In a method and a device for transforming a stream of digital numbers, the correlation between successive numbers is utilized in order to obtain a new stream having a very low correlation between the numbers, whereby the sequence of numbers can be coded much more efficiently from a compression point of view. The numbers are for this purpose coded with the difference between a predicted number (s'(i)) and the actual number (s(i)) taking into account that the sequence does not need to be possible to decode in reverse order. The non-reversible codes can also be applied in lossy data compression schemes. Such schemes can change in accordance with the currently available bandwidth in order to obtain a graceful degradation and optimal bandwidth usage when the compressed data stream is transmitted over a channel having a time varying bandwidth. A general method and device for reversible coding are also provided.

The present invention discloses a deep borehole rock body deformation testing device with hand hydraulic pump connected with a pressure gauge and a high-pressure oil tube; two high-pressure oil tube are respectively a load applying course oil tube and a return journey oil tube, the load applying course oil tube is connected to the course piston interface of the hole drilling rock body deformation tester; and the measuring cable is connected with the hole drilling rock body deformation tester and the digital number reading device. The hole drilling rock body deformation tester is composed of four pistons, three displacement transducers, a displacement transducer amplifier, two force measuring sensors, a force measuring sensor amplifier, a detachable active rigid bearing plate, a detachable passive rigid bearing plate, a protective barrel and a circuit protecting barrel; the device has the advantages of high measuring precision, good coupling capacity to the hole drilling wall, directly measuring the deformation modulus value and elasticity modulus value of the deep rock body, simple structure, easy operation, stable testament and accurate data.

The invention discloses a data processing method and apparatus. The method comprises the steps of obtaining to-be-combined-and-stored attributes and corresponding attribute values; obtaining preset digital numbers corresponding to the attribute values; performing byte string conversion on the digital numbers according to a first preset rule to obtain corresponding codes; and performing combination and storage on the codes. According to a bit compression-based storage method, the attribute values are combined and stored by utilizing corresponding byte string storage formats through number conversion; and compared with an existing mode of performing simple attribute value splicing storage by using a splicing connector and performing storage by utilizing a hash function, the method has the advantages that the storage space can be greatly saved, so that the server resource waste is reduced and the utilization rate is increased.

The invention discloses a spam message intercepting method which comprises the steps of: extracting a calling number of a short message forwarded by a short message center and an embedded digital number in a content of the short message, matching the extracted embedded digital number with a number keyword stored in a spam message monitoring platform, matching the extracted calling number with a blacklist stored in the spam message monitoring platform, if one matching fails, judging that the short message forwarded from the short message center is the spam message, and intercepting the spam message. According to the invention, the recognition and the extraction of a generalized digital number are supported, a masking spam message can be effectively recognized, the total flow and the calling and called dispersion combined, the accuracy rate is high, misjudgment can be effectively prevented, user complaint can be effectively reduced, the whole intercepting process does not need to be participated manually, the blacklist and the number keyword are automatically updated, and manual cost is saved.

The invention provides a distributed mass data processing method and device. The distributed mass data processing method comprises the steps that an index request is sent to a metadata server; an available server list returned by the metadata server is received; to-be-indexed original data is split so as to obtain split partitioned data, and digital numbers are attributed to the partitioned data;the partitioning information of the partitioned data serves as a key value, and the storage position of the partitioned data is mapped into an available server identification list; the partitioned data corresponding to second data index server identifiers is sent to second data index servers so as to store the partitioned data; index completion information returned by the metadata server is received. By means of the method and device, the second data index servers can store the received partitioned data at the same time, so that the storage efficiency is greatly improved; searching of the stored original data can be completed through the index completion information, and the retrieval efficiency is greatly improved.

The invention pertains to the technical field of complementary metal-oxide semiconductors, which discloses a complementary metal-oxide semiconductor monolithic integrated peak value detection circuit, comprising: a peak value point seeking circuit which is used for generating a rising edge signal at the time of inputting the peak value point of a sine wave signal A; a peak value point discharge circuit which is used for generating a discharge waveform signal E at the site of inputting the peak value point of the sine wave signal; a digital logic, a digital frequency division signal G and a digital waveform signal F are used for controlling the counting of time intervals of an external clock input I, thus generating a digital output signal H of the characteristic time intervals. The circuit of the invention only carries out the sampling of the peak value point, thus simplifying the requirements on a sampling circuit. The peak value detection circuit utilizes the voltage-time conversion (or voltage-duty ratio conversion); the circuit resolution of the invention is controlled by the frequency of a counting clock, thus being much higher than the resolution of the ordinary analog-to-digital converter with the same digital number. The peak value detection circuit can reduce the volume power consumption and meet the needs of the integration of a sensor and the circuits.

The inventive embodiment discloses a method for automatically saving numbers by a mobile terminal, including: receiving a number voice; recognizing the number voice according to the preset number standard voice and acquiring the number; storing the recognized number. The inventive embodiment also discloses a mobile terminal automatically saving numbers, including: a number voice receiving module for receiving number voice; a number voice recognizing module for recognizing number voice received by the number voice receiving module according to the stored number standard voice and acquiring the number; a number storage module for storing numbers recognized by the number voice recognizing module. By employing the technical solution provided by the inventive embodiment, mobile terminal users are provided with convenience for recording number during calling process, which strengthens user experience and achieves effect for automatically saving numbers.

The invention provides a ship water gauge image automatic number reading method based on a deep learning algorithm. According to the method, the deep learning algorithm is used for performing identification positioning on the number in a ship water gauge image, thereby obtaining a digital number and a frame coordinate in the image, and a digital frame coordinate is corrected. By means of a numberarrangement rule and a human eye number reading principle in the image, a digit combination algorithm based on the human eye number reading principle is designed. By means of image color information of a ship body and water body, a method for identifying a water level in different color body color backgrounds is designed, wherein different identification methods can be selected according to different backgrounds, thereby ensuring high accuracy and high speed in water level identification. According to the position coordinate of the oblique number in each line and the position coordinate of thewater level, a length reference and oblique number correction algorithm is designed; wherein the actual pixel distance between water level and the number is calculated, and percentage of the pixel distance between the water level and the number in the actual length reference is calculated. Furthermore the number of the ship water gauge image is obtained.

The invention relates to a system for improving a call completion rate of a single-chip double-card cellphone, which comprises a setting module and a starting module, wherein the setting module is used for setting a call forwarding number of a first subscriber identity model (SIM) card as a mobile station integrated services digital number (MSISDN) of a second SIM card and for setting a call forwarding number of the second SIM card as an MSISDN of the first SIM card; and the starting module is used for starting an unreachable forwarding function of the first and the second SIM cards. The invention also provides a method for improving the call completion rate of the single-chip double-card cellphone. Due to the adoption of the system and the method, incoming call of two SIM cards can be simultaneously received by the single-chip double-card cellphone.

In a random number generator, a first converter converts a first analog noise signal into a random digital clock signal and a second converter samples a second analog noise signal asynchronous to the first analog noise signal in response to the random digital clock signal and generates a random digital number stream. In one aspect, a random number generator output block samples the second converter random digital number stream in response to the random digital clock signal and generates a random number generator block output. In another aspect a pseudo noise source state machine generates the random digital clock signal in response to a first seed generated from the first analog noise signal, a second seed from process variation digital amplifier, and a past machine state.

The invention discloses a robust industrial electric meter digital number recognition method, and belongs to the technical fields of image processing and pattern recognition. The robust industrial electric meter digital number recognition method mainly comprises two parts such as digital number segmentation and digital number recognition. Firstly, digital number edges in an industrial electric meter panel are detected through a Canny operator; then a digital number region can be effectively positioned and cut through a projection method; and finally, a classifier is constructed through a KNN algorithm based on digital numbers in a training set, and classification is performed on digital numbers to be recognized. According to the industrial electric meter digital number recognition method, a noise region and the digital number region can be effectively differentiated through Canny edge detection, so that the algorithm is enabled to be more robust. Meanwhile, the KNN algorithm is adopted when digital numbers are recognized, thereby not only being capable of effectively improving the efficiency of the algorithm, but also being capable of enabling digital number recognition to be more accurate.