83results about How to "Increased operational complexity" patented technology

The invention discloses a co-channel full-duplex system based on MPPSK modulation. After the system isolates receiving and sending signals at the radio-frequency head normally, cancellation conducted on leakage self-interference signals is finished on a digital baseband; the cancellation method is conducted after conducting shock filter on MPPSK receiving and sending aliasing signals, extracting and multiplying by coherent carrier, band-pass filtering and digitizing, the result of initial channels of all self-interference channels between the output end of a modulator and a receiver ADC is estimated before formal communication, self-interference offset signals are rebuilt by the adoption of the estimated result, further residual errors are filtered out with the combination of methods of coding rate filtering and double matched filtering of a method of shock filtering-multiplying by the coherent carrier-band-pass filtering-coherent demodulation, and MPPSK receiving signals are demodulated reliably. The co-channel full-duplex system based on MPPSK modulation is free of radio-frequency self-interference cancellation, has low requirements for the dynamic range and sampling rate of the ADC, has high isolation degree for the self-interference signals, and is simple in structure, low in complexity, high in spectrum efficiency and good in demodulation performance.

The invention relates to a block chain data transmission method and a block chain data transmission system, and the method comprises the steps: carrying out the Hash operation of at least two times ontransaction data, and obtaining first abstract information; encrypting the first abstract information for multiple times by using at least two private keys to obtain digital signature information ofthe transaction data; and sending the transaction data, the digital signature information of the transaction data and at least two public keys corresponding to the at least two private keys to the block chain network node. According to the scheme of the invention, at least two Hash algorithms are adopted; the Hash internal operation complexity and the Hash output length are improved; any input change can generate different outputs. Compared with the prior art, the digital wallet has the advantages that attack resistance is improved, high efficiency is achieved on the premise that conflict resistance is not sacrificed, at least two private keys are utilized for multiple times of encryption, in other words, the information credibility is improved through the multiple digital signature technology, information can be fully verified not to be forged, tampered in the transmission process is avoided, and the safety of the digital wallet is improved.

The invention discloses an ISAR sparse frequency band imaging method based on a variation Bayesian learning algorithm. The ISAR sparse frequency band imaging method based on the variation Bayesian learning algorithm can mainly solve a problem of accurately solving the Bayesian model and realizes high definition imaging of an object under a low signal to noise ratio condition. The ISAR sparse frequency band imaging method comprises steps of 1) receiving ISAR echoes of high and low sub-frequency-bands and performing pre-processing, 2) performing azimuth compression and combination on a signal after pre-processing to obtain observation data, 3) generating a dictionary matrix corresponding to the observation data and using high and low sub-frequency-band distance Doppler images to perform pruning on the dictionary matrix, 4) solving a coefficient vector of an azimuth unit having the echo according to the observation data and the pruned dictionary matrix and reconstructing a full-frequency echo, and 5) performing distance compression on a reconstructed full-frequency-band echo to realize a high definition distance Doppler image. The ISAR sparse frequency band imaging method of the invention realizes high definition two-dimensional ISAR imaging which is good in focusing while reducing imaging complexity, and can be applied to feature extraction and identification of an object.

The invention provides a cloud detection method of an optic remote sensing image, which comprises the following steps of: 1) diving an optic remote sensing image into basic processing units; 2) diving the basic processing units into two types which are possible to be cloud or not to be cloud according to a gray threshold; 3) diving the basic processing units which are possible to be the cloud according to fractal dimension; and 4) judging an undetermined unit in a fractal dimension dividing result to be a cloud layer or an earth object material according to angle second moment. The method combines with three judging characteristic parameters according to a reasonable order, and the different characteristic parameters have different functions when detecting, thereby not only being capable of obtaining higher resolution precision, but also being capable of obviously improving the running efficiency thereof in average meaning.

The present invention discloses a polar code-repeat code cascade error correction coding method. At a transmit end, the repeat code is used as an outside code, and the polar code is used as an inside code; and a decoder of a receive end uses a correction successive cancellation list (SCL) decoding algorithm to decode. In terms of correction performance, the frame error rate performance of the coding method provided in the present invention is highly stronger than the polar code frame error rate performance of the SCL decoding algorithm or a cyclical redundancy check (CRC)-aided SCL decoding algorithm, and the frame error rate far exceeds the unsurpassed maximum likelihood limit of the SCL decoding algorithm. In terms of engineering implementation, the outside code uses the repeat code, the storage complexity of the outside code coder is very low, the coding is simple, the correction SCL decoding algorithm is adopted for decoding, bit determining of the inside code-polar code and bit determining of the outside code-repeat code are performed jointly, and the decoding complexity is not increased compared with that of the original SCL decoding algorithm and the CRC-aided SCL decoding algorithm, so that the engineering is easy to implement.

The present invention relates to a image background modeling and foreground extraction method based on a depth map. The method is characterized by comprising the steps of: step 1, acquiring a depth image for characterizing the distance between an object and a camera; step 2, initializing a real-time depth background model; step 3, updating the real-time depth background model; step 4, acquiring a current depth image for characterizing the distance between the object and the camera; step 5, extracting a foreground image of the current depth image based on the real-time depth background model; step 6, outputting the foreground image and generating a real-time target mask image; and step 7, updating the real-time depth background model: according to the real-time target mask image, updating code group information of each pixel point in the real-time depth background model. The method provided by the present invention has stability incomparable to that of a known color diagram modeling method, high efficiency and superiority in location relationship handling, and initial modeling does not need to be performed on a scene, so that the implementation steps are simplified and the whole efficacy is dramatically improved.

The invention discloses a method and a device for receiving RTP data packets. The method comprises the following steps of: receiving RTP data packets from a network; performing first-level buffering and pre-ordering of the received RTP data packets; and performing the second-level buffering of the RTP data packets undergoing the pre-ordering, wherein a queue group serving as the first-level buffer is used for the first-level buffer and pre-ordering treatment of the received RTP data packets, and the queue group comprises a linked list group and an array group. The device has the advantages of overcoming the defect of low processing efficiency of the RTP receiving mode existing in the prior art and improving the receiving efficiency of the RTP data packets.

The invention discloses a network failure diagnosis method based on a selective hidden Naive Bayesian classifier, comprising: (1), obtaining history data from a network history database, wherein the history data comprise a symptom variable set and a failure class variable set; (2), constructing a selective hidden Naive Bayesian classifier prediction model, determining corresponding most related symptom variable set according to every symptom variable in the symptom variable set; (3), automatically learning classifier parameters by the selective hidden Naive Bayesian classifier through training the history data; (4), in failure diagnosis, estimating the test data by using the selective hidden Naive Bayesian classifier so as to obtain corresponding final failure diagnosis result. Through executing the network failure diagnosis method of the invention, the problems in the existing network failure diagnosis that the operation complexity is high and the network diagnosis result is great in deviation are effectively solved; the network diagnosis accuracy is greatly improved; the operation complexity is further reduced, and better learning capability and fault-tolerant character are kept at the same time.

The invention discloses a secure multi-party computing method based on trusted hardware and a block chain, which comprises the following steps that: a user encrypts input parameters and inputs the encrypted input parameters into a trusted execution environment, the trusted execution environment exchanges data with other participants through the block chain, executes a computing function in the trusted execution environment after collecting all the inputs, and outputs a result; based on the scheme, a plurality of participants can complete data sharing of security privacy under the condition ofprotecting respective data privacy, and finally, a distributed arbitrary multi-party joint computing task is realized. A fair data exchange process of multi-party participants is realized by utilizinga block chain, meanwhile, privacy protection is carried out on data exchange by utilizing an encryption algorithm, and the obtained encrypted data is decrypted and calculated in a trusted computing environment, so that an efficient and safe multi-party computing process is realized.

The invention provides a technology based on a server terminal, and discloses a native APP, Web APP and Wechat-similar APP information synchronization system. Data interaction is carried out on different client terminals to adapt to the requirements of the different client terminals for network transmission. Data interaction is carried out on the different native APP, Web APP and Wechat-similar APP client terminals, communication interfaces are modularized according to network protocol types, and part of data are selectively synchronized to the specified client terminals. The convenient system is provided for information issuing and data maintenance of a traditional type industry, and the manual operation cost is greatly reduced through data synchronization; a flexible, convenient and rapid tool for data synchronization among the different client terminals is created for the IT same industry, the reusability of codes is improved, and the manual development cost is greatly reduced.

The application provides a Bluetooth connection control system. The system comprises an authentication server, a Bluetooth control device and Bluetooth mobile equipment; the authentication server comprises a storage unit for associatively storing identification information of the Bluetooth mobile equipment and predetermined authentication information; and an encryption authentication data generation unit for determining the predetermined authentication information corresponding to the identification when receiving an authentication connection request including the identification information ofthe Bluetooth mobile equipment, and generating encryption authentication data according to the predetermined authentication information; the Bluetooth control device comprises a connection unit connected to the Bluetooth mobile equipment according to a MAC address of the Bluetooth mobile equipment; the Bluetooth mobile equipment comprises a connection control device allowing the Bluetooth controldevice to be connected to the Bluetooth mobile equipment according to the MAC address; and an authentication unit for authenticating the connection according to the encryption authentication data. According to the system provided by the application, the security of the Bluetooth connection can be improved, and the operation complexity and the limit operation feasibility cannot be increased.

The invention discloses a unite-domain positioning space-time two-dimensional self-adaptive processing method based on data fitting, and relates to radar technology. The method comprises the steps that 1, JDL dimensionality reduction echo data and space-time guide vectors are obtained; 2, a data basis matrix of a distance unit to be detected is constructed; 3, a data basis matrix with targets blocked is obtained; 4, the fitting coefficient of auxiliary echo data is obtained; 5, the minimum fitting error of data of the distance unit to be detected is obtained; 6, unit average constant false alarm rate detection is carried out on the minimum fitting error of the data of the distance unit to be detected. The unite-domain positioning space-time two-dimensional self-adaptive processing method mainly solves the problem that a traditional STAP method is huge in computation burden and strict in sample requirement, reduces the false alarm rate, improves movable target detection probability, and has the good application prospect in measured data processing and STAP performance improvement.

The invention discloses a micro-motion target defect echo high-resolution imaging method based on a time-frequency dictionary, mainly to solve the problem that high-resolution imaging is hard to be carried out on a target with complex micro-motion and a target with data defects in the prior art. The realization scheme comprises steps: range compression processing is firstly carried out on micro-motion target defect echo data received by an inverse synthetic aperture radar; then, a short-time Fourier transform matrix for the echo is generated; then, a corrected augmented Lagrangian algorithm is used for calculating a time-instantaneous Doppler distribution for defect echo signals of each range unit; and finally, time-instantaneous Doppler distributions for all range units are stacked into a three-dimensional matrix, and a two-dimensional matrix at a different time is selected to generate a range-instantaneous Doppler image sequence for the target. Thus, an imaging result with good focusing can be acquired under a lower computational burden, and the method can be used for target recognition and radar target detection.

The present application relates to an information input method and apparatus. The method may comprises: acquiring a to-be-recognized text; according to a preset recognition rule, extracting a text segment corresponding to a feature of a preset information type from the to-be-recognized text, wherein the recognition rule comprises at least one feature of the preset information type; and inputting the text segment in an input box corresponding to the preset information type in the information input page. According to the technical scheme of the present invention, the recognized text segments canbe input one by one into the input boxes corresponding to each preset information type, so that the cumbersome operation of the user to input information one by one to each input box is avoided, andthe efficiency of the information input process is improved.

A method for implementing carrier frequency offset correction base on large-point FFT. Firstly, the receive signal is orthogonally mixed, convert to I, Q two-way signal, and then combining the outputsignals of I and Q into complex signals, the spectrum characteristics of complex signals are estimated by using the twice FFT matrix method, and then finding the position corresponding to the maximumpeak point on the spectrum characteristic and calculating the frequency offset value, Finally, the frequency offset value is converted into the frequency control word of the voltage controlled oscillator, so as to generate the same frequency as the frequency offset value. After passing through the feedback loop, I and Q signals are compensated by orthogonal mixing, and the high-frequency components are eliminated through the low-pass filter to output the correct baseband signal after the frequency offset is eliminated.

The invention discloses a method and system for multiple orders to share an account fund. The method comprises: a corresponding ledger under a client fund account is established through a fund management system; a management fund awarded to each order system and a balance list of the management fund corresponding to each order system are recorded; each order system can voluntarily receive entrusting under the condition that fund is abundant and requests the fund management system to perform fund transferring when the fund is short. The method and system allow the client to perform transaction in multiple order systems by opening only one fund account, reduce the business management difficulties of security company branches to deploy multiple sets of orders in different regions, make order deployment transparent to the client, can perform flexible deployment according to the need, minimally increase client operation complexity, and simplify the client operation and improve client experience while providing a top-quality service to the user.

The invention discloses a channel estimation method based on exponential smoothing in an MIMO-OFDM system. The problem that a least squares channel estimation algorithm is low in precision is solved. After LS (Least Squares) estimation values of channel frequency responses of symbols are obtained, LS time domain estimation values of channel impulse responses of the symbols are obtained through discrete Fourier transform, then the channel impulse response estimation values are optimized through an exponential smoothing algorithm, and the channel frequency responses based on the exponential smoothing are obtained through the discrete Fourier transform. According to the method, through adoption of the exponential smoothing algorithm, own change rules of channels are uncovered; random interference in the channel estimation results are effectively filtered; only the channel impulse responses corresponding to the symbols are stored; on the premise of increasing little operation complexity, the estimation precision of the LS channel estimation algorithm is effectively improved; a bit error rate of transmitting the system data is reduced; and a satisfactory result can be obtained no matter a channel condition is good or poor.

The present invention discloses a network online water quality heavy metal analyzer, which comprises an industrial grade integrated control unit, a detection unit, an automatic sampling unit, a water sample pre-treatment unit, an external input and output unit, and a network module, wherein the industrial grade integrated control unit can automatically control the detection unit, the automatic sampling unit, the water sample pre-treatment unit and the external input and output unit through communication interfaces. According to the present invention, the modularization idea is adopted so as to conveniently expand and reduce the number and the type of the units, assemblies in the units are independent so as to be conveniently expanded and reduced, the low cost standard network cabinet is adopted so as to reduce the whole cost and conveniently process data, and to adapt to remote control requirements, the network module can conveniently perform data transmission through the wired and wireless network.

The invention provides a cloud detection method of an optic remote sensing image, which comprises the following steps of: 1) diving an optic remote sensing image into basic processing units; 2) diving the basic processing units into two types which are possible to be cloud or not to be cloud according to a gray threshold; 3) diving the basic processing units which are possible to be the cloud according to fractal dimension; and 4) judging an undetermined unit in a fractal dimension dividing result to be a cloud layer or an earth object material according to angle second moment. The method combines with three judging characteristic parameters according to a reasonable order, and the different characteristic parameters have different functions when detecting, thereby not only being capable of obtaining higher resolution precision, but also being capable of obviously improving the running efficiency thereof in average meaning.

The invention provides a periodic resultant steering vector maximum likelihood algorithm based on a terrain parameter table. The method provided by the invention is applied to digital array radar low elevation angle height measurement. An echo signal of an array is composed of a direct wave and a multi-path reflection wave. The concept of multipath factor is introduced. A resultant steering vector corresponding to the echo signal is established. Then, the resultant steering vector is applied to the maximum likelihood algorithm to form the resultant steering vector maximum likelihood algorithm. The periodicity of the multipath factor of the resultant steering vector is utilized to determine a terrain search scope. Terrain parameters corresponding to all angles in the terrain search scope are established so as to form the terrain parameter table. In the subsequent height measurement of the resultant steering vector maximum likelihood algorithm, the established terrain parameter table is directly used to conduct real-time error compensation. The method provided by the invention is good in precision and robustness.

The invention discloses an airborne early warning radar moving target detecting method based on a clutter ridge guiding vector and relates to the radar technique. The method comprises the steps of (1) receiving the space-time two-dimensional echo data of an airborne early warning radar device by means of an airborne early warning radar antenna, (2) determining a normalization space-time two-dimensional frequency point corresponding to a clutter ridge curve position relevant to the space-time two-dimensional echo data, (3) constructing a clutter ridge guiding vector basis matrix according to the normalization space-time two-dimensional frequency point corresponding to the clutter ridge curve position, (4) acquiring data left after fitting, and (5) conducting cell averaging constant false alarm rate detection on the data left. The method mainly solves the problem that in practical application of traditional space-time adaptive processing, the amount of calculation is huge, and the requirement for the number of independent identically distributed samples is high. The method has good application prospects in the improvement of the airborne early warning radar moving target detecting performance.

The invention relates to the field of production of solar-grade polycrystalline silicon, in particular to a method and an apparatus for efficiently purifying a silicon material after the medium smelting. A structure of a smelting crucible of the apparatus is arranged in a manner that the rear end inclines towards a liquid guiding opening; a plurality of compartments are provided in the smelting crucible, an inner groove of each compartment corresponds to one smelting groove, and each smelting groove corresponds to the liquid guide opening; and when in use, the electron beam smelting energy distribution mode corresponding to the structure of the smelting crucible is gradually reduced from the rear end to the liquid guide opening. By selecting the electron beam smelting energy distribution mode and selecting a multi-mode smelting crucible structure, the silicon carbide and volatile impurity element in the silicon material after the medium smelting can be eliminated, the cost is low, andthe effect is good.

The invention discloses a method and a device for activating an on-board unit. The method comprises the steps of obtaining the preset mode information of the OBU, and activating the OBU according to the obtained preset mode information when the OBU succeeds in transaction with an RSU (Remote Subscriber Unit). According to the technical scheme of the method, the hardware cost of the existing OBU system and access of a manual control way do not need to be added, and the method is simple, convenient and easy to operate.

The invention belongs to the field of biological analysis and micro-manufacturing, and discloses a high-flux droplet array rapid preparation device based on spray assistance. The device sequentially comprises, from top to bottom, an aerosol droplet generation device used for atomizing a liquid to form aerosol droplets, and specifically formed by connecting an atomizer and a base; an aerosol droplet restraining and settling channel which is used for restraining the settling and diffusion area of the aerosol droplets so as to control the settling and collecting area of the droplets; and a droplet collection interface which is used for receiving droplets obtained after sedimentation and collecting to obtain a droplet array. The droplets may preferably be preserved in air for at least seven days by a temperature differential supply assembly. By improving the arrangement of all the components in the device, the corresponding matching working mode and the like, the problems of droplet arraypreparation, control and further storage can be effectively solved, and the ultra-fast forming device is an ultra-fast forming device for the ultra-high-flux droplet array assisted by spraying.

The invention discloses a production system for extracting crude helium from natural gas and co-producing liquefied natural gas. The production system comprises a first-stage helium extraction unit, a second-stage helium extraction unit, a third-stage helium extraction unit, a mixed refrigeration system and a nitrogen refrigeration system, wherein the first-stage helium extraction unit, the second-stage helium extraction unit and the third-stage helium extraction unit are connected through pipelines. The first-stage helium extraction unit comprises a heat exchanger I, an LNG storage tank, a rectifying tower I, and a condenser I and a reboiler I which are arranged at the tower top and the tower bottom of the rectifying tower I correspondingly. The second-stage helium extraction unit comprises a heat exchanger II, a rectifying tower II, and a condenser II and a reboiler II which are arranged at the tower top and the tower bottom of the rectifying tower II correspondingly. The third-stage helium extraction unit comprises a heat exchanger III, a rectifying tower III, and a condenser III and a reboiler III which are arranged at the tower top and the tower bottom of the rectifying tower III correspondingly. According to the production system, the technical scheme of mixed refrigerant circulating refrigeration and three-stage rectification helium extraction is adopted, helium is produced as a main product, a small part of liquefied natural gas and liquid nitrogen products are produced as byproducts, and the problems of high investment, high operation cost and the like in an existing helium extraction and liquefied natural gas co-production process can be effectively solved.

The invention discloses a wave beam Doppler domain space-time two-dimensional self-adaptive processing method based on data fitting, and relates to radar technology. The method comprises the steps that 1, wave beam Doppler domain dimensionality reduction echo data and space-time guide vectors are obtained; 2, a data basis matrix of a distance unit to be detected is constructed; 3, a data basis matrix with targets blocked is obtained; 4, the optimal fitting coefficient of auxiliary echo data is obtained; 5, the minimum fitting error of data of the distance unit to be detected is obtained; 6, unit average constant false alarm rate detection is carried out on the minimum fitting error of the data of the distance unit to be detected. The wave beam Doppler domain space-time two-dimensional self-adaptive processing method mainly solves the problem that a traditional STAP method is huge in computation burden and strict in sample requirement, improves movable target detection probability, reduces detection false alarm rate, and has the good application prospect in measured data processing and STAP performance improvement.

The invention provides an alarm clock awakening method and a terminal. The alarm clock awakening method is applied to the terminal. The method comprises the steps of: when the terminal plays an awakening alarm, if the operation that a user stops the awakening alarm is received, suspending playing of the awakening alarm, and furthermore, obtaining the time when playing of the awakening alarm is suspended; broadcasting the time when playing of the awakening alarm is suspended, and determining the time when playing of the awakening alarm is suspended as the beginning time of a pre-set time slot; and, in the pre-set time slot, if real-time audios input by the user are received, judging whether the real-time audios are matched with pre-set standard audios or not, and, if the real-time audios are matched with the pre-set standard audios, stopping the awakening alarm. Thereby, the complex degree of the awakening alarm stopping operation is increased, so that the awakening effect is improved.

The invention belongs to the technical field of fitness equipment and discloses a weight-adjustable dumbbell. The dumbbell comprises a dumbbell handle, fixed blocking pieces are fixedly connected to the left end and the right end of the dumbbell handle, annular blocks are fixedly connected to the opposite sides of the two fixed blocking pieces, positioning sliding grooves are formed in the front faces and the back faces of the two annular blocks, and inserting grooves which are arrayed at equal intervals are formed in the inner bottom walls of the four positioning sliding grooves. According tothe invention, the positioning slide block is aligned with the positioning chute and slides into the positioning chute; the balancing weight cannot rotate on the outer side of the fixed separation blade; the fixed inserting rod is completely inserted into the inserting groove; the elastic piece is in close contact with the inner walls of the inserting grooves, so that the balancing weight cannotmove, weight adjustment is achieved, operation is easy, use is convenient, and the problems that the balancing weight of the dumbbell is disassembled and assembled and fixed through a conventional pressing nut, the operation complexity of dumbbell balancing weight replacement is increased, tools such as a wrench are needed, and use is inconvenient are solved.

The invention discloses an adaptive awakening mechanism for sleeping nodes in a network containing inaccurate state information. The awakening mechanism is characterized in that the optimal awakening time of the sleeping nodes under the condition that the delay constraint is satisfied is computed according to the delays which data packets experience and evaluation on the downstream path delay; and the statistic characteristics of the inaccurate state information of the network are taken into full consideration during computation and the confidence interval of random state parameters is used for evaluating the upper and lower limits of the numerical value of the inaccurate state information in the probability sense, thus effectively increasing the computational accuracy. While ensuring that data delays conform to constraint, the awakening mechanism shows excellent and stable performances in the aspect of saving network energy by optimizing the total sleep time and state transition frequency of the nodes in the network.