2908results about How to "Save time and cost" patented technology

The present invention relates to a computationally efficient method of finding patterns in any data that can be expressed in the form of arrays of binary features or arrays of categorical features. This includes data represented by continuous-valued attributes that can be transformed to a categorical representation, such as the discovery of patterns of genetic variability that may be causally related to diseases or traits, as well as the discovery of patterns of protein biomarkers that may be used for medical diagnostics, prognostics, and therapeutics. The invention further relates to a program storage device having instructions for controlling a computer system to perform the methods, and to a program storage device containing data structures used in the practice of the methods.

A system 100 for providing credentials to a computational component in a distributed processing network is provided. The system 100 includes: (a) a plurality of crypto-tokens 150a-n, each crypto-token 150a-n comprising a unique identifier, optionally a digital certificate comprising a unique public key and the unique identifier, and a private key corresponding to the public key; (b) a provisioning system 100 comprising a certificate authority 104 operable to generate the plurality of crypto-tokens 150a-n; and (c) a computational component 128 comprising a drive operable to receive and communicate with a selected crypto-token 150. The computational component 128 uses the digital certificate and private key in any of the crypto-tokens 150a-n to establish a secured communication session with the provisioning system 100. Before the establishing operation, any of the plurality of crypto-tokens 150a-n can be engaged with the computational component 128 to establish the secure communication session.

The invention relates to a smart city travel information recommending method and device. The method includes the steps that position information of a user, a destination and the starting time are acquired, wherein the destination and the starting time are input by the user; a transportation means operating information base is searched for a plurality of transportation schemes according to the position information, the destination and the starting time; a first ratio of each transportation scheme is calculated; each first ratio is subtracted from a preset ratio, the absolute value of the corresponding result is acquired, a plurality of difference values are acquired, and all the transportation schemes are sequenced according to the numerical size of corresponding difference values in a gradual increasing order; the sequenced transportation schemes are displayed. After the user inputs the travel destination and the starting date, a transportation scheme will be recommended to the user, ticket booking, hotel reservation and weather searching can be automatically and conveniently completed according to the transportation scheme for the user, and therefore time cost of the user is effectively reduced.

The invention discloses a chat emotion input method and device, and relates to the technical field of input methods. The method comprises the following steps: presetting a character sequence and/ or a corresponding relation between the character sequence and each emotion; collecting voice chat resource data and emotion resource data of each topic according to the corresponding relation; creating the emotion resource data based on the emotion type by utilizing the voice chat resource data; receiving an input sequence input by a user; analyzing the input sequence according to the corresponding relation; matching the input sequence and the character sequence and/ or words or phrase sequence to obtain the emotion of each topic corresponding to the character sequence and/ or the words or phrase sequence; sequencing the emotion of each topic, and displaying as an candidate item at a client. With the adoption of the chat emotion input method and device, the emotions of various topics can be conveniently provided to the user while the user inputs, and thus the user emotion input efficiency is raised.

The invention discloses a network security accident classification and predicting method and a system, which are used for solving the problems of the prior art on lacking the capability of timely finding the characteristics of attack behaviors and accurately classifying the attack behaviors. The method comprises the following steps: S1. acquiring web access log of users in a whole network and http metadata in full-flow log; S2. segmenting the web access log and the url of the http metadata, and matching with a network attach illegal character feature library; S3. constructing a word vector and a document vector of the segmented url by utilizing word2vector; and S4. inputting the document vector as a feature and classifying the attack behavior by adopting a naive bayes model. The real-time monitoring of key points can be realized, the abnormal behavior carrying mainstream attack feature can be found by means of machine learning, the classification efficiency of network attack behaviors can be improved, and the time cost of manual check can be lowered, continuously changed attack behaviors can be adapted, and the classification detection accuracy can be enhanced, thus providing guarantee for network security.

The invention discloses an SAS hard disk and NVMe hard disk compatible hard disk backplane, and relates to the field of server hard disk backplanes. The integral structure of the hard disk backplane is a PCB board card on which a plurality of hard disk connectors and a CPLD are arranged, the hard disk connectors are SAS hard disk and NVMe hard disk compatible connectors, and are connected to the CPLD; and the CPLD can be used for automatically recognizing the types of connected hard disks, and is in communication with a BMC management module on a server mainboard through an I2C bus. According to the SAS hard disk and NVMe hard disk compatible hard disk backplane, an SAS hard disk and an NVMe hard disk use a same onboard connector and are compatible, so that the online change of the two hard disks is realized, the operation convenience is improved and the board card development cost is reduced; the management, carried out by the BMC management module, on the hard disk operation states and health conditions is realized; and by using different combinations of LED lamps, the current hard disk states are shown, so that convenience and visualization are provided.

The invention discloses a video recommendation method and system. The method comprises the steps that a server obtains video information of various videos, divides the videos into different categories by employing a clustering algorithm, calculates category weights of the various videos in the corresponding categories and stores the category weights; a smart television collects user behavior data and then uploads the data to the server, and the server calculates user preference data according to the user behavior data and calculates preliminary recommendation results of video programs un-watched by users according to the user preference data; the server calculates the attributes and weights of the various videos in various periods of time according to the catalog weights and the user preference data, combines the attributes and weights of the various videos in various periods of time to generate final recommendation results and sends the final recommendation results to the smart television for display. According to the method and the system, the interest degree of the users to the watched videos can be estimated, related videos can be recommended according to the periods of time, the watching demands of family members can be satisfied as much as possible, and the time cost of the users can be reduced.

The invention discloses a highly automated intelligent contract formal verification system and method. The method includes the following steps: step 001, converting an intelligent contract function requirement description document into an intelligent contract function requirement specification document described in a non-natural language, wherein the content of intelligent contract function requirement specification document includes target contract function specification description and security attribute description; step 002, creating a formal validation rule model library; step 003, automatically modeling the contract source code and/or bytecode by an automated modeling tool; step 004, parsing the abstract syntax tree generated in step 003, and allocating memory addresses for constantsand variables in the code; step 005, performing formal proof. The invention is adapted to program codes written in a plurality of high-level programming languages and also adapted to a plurality of formal languages, and simultaneously provides two automatic modeling modes of source code modeling and bytecode modeling, so that modeling can be carried out according to different modeling requirements of users, and the verification efficiency is further improved.

An image processing system in which the georeferencing of at least one digital image is achieved by means of at least one picture model of the said digital image and of a digital reference relief form. The digital image is obtained from a pair of digital images acquired in the same focal plane. An intermediate digital relief form is produced from said pair of digital images. The intermediate digital relief form and said digital reference relief form are processed to refine the said picture model of the said digital image to be georeferenced. A final digital relief form is generated and said final digital relief form and said digital image are projected in a geographical or cartographic system, for the purpose of their georeferencing. The pair of digital images in the same focal plane are acquired in a small stereoscopic base configuration by sensors located in the same focal plane.

A set of panel-shaped elements includes a first panel-shaped element, a second panel-shaped element, and a third panel-shaped element. The first panel-shaped element includes at least one recess that extends through the first panel-shaped element from a first side to a second side. The second panel-shaped element includes a first profiled portion, which is configured to extend into the recess from the first side of the first panel-shaped element. The third panel-shaped element includes a second profiled portion, which is configured to extend into the recess from the second side of the first panel-shaped element and for locking engagement with the first profiled portion. The set of panel-shaped elements can be assembled using a method where the third element is moved into locking engagement with the first and second elements.

The invention discloses establishment and application of a CHO cell line for producing a fucose-free monoclonal antibody. A CRISPR/Cas9 technology is utilized to encode an FUT8 gene of a CHO cell to obtain the FUT8 gene silenced CHO cell line for stabilizing FUT8 gene deletion (hereinafter referred to as FUT8-/-cell line). By adopting physicochemical property and bioactivity detection of an FUT8-/-cell expressed antibody, a glycoform detection result indicates that fucose of the FUT8-/-cell expressed monoclonal antibody is completely eliminated, a fucose-containing monoclonal antibody expressed by a wild CHO cell serves as a contrast, the affinity with a Fcgamma RIIIa antigen of the fucose-free monoclonal antibody is improved by 7 times, and the ADCC effect is improved by 25 times.

The invention discloses a fast routing decision algorithm based on Q learning and a LSTM neural network. The algorithm is mainly divided into two stages including model training and dynamic routing decision; and the model training stage is mainly used for calculating an optimal or a relatively better path which satisfies a constraint condition according to different QoS requests through a heuristic algorithm. Then, input and corresponding output of the heuristic algorithm are combined to form a training set of a machine learning model, and the training set is taken as a target Q value of different routing to train a decision model. On the basis, when a controller receives a new QoS request, correspondingly, the machine learning model jointly takes the current network state and the constraint condition in the request as input of the model, corresponding Q value can be calculated quickly through the routing decision model in which LSTM and Q learning are combined, and prediction is completed and an optimal path can be output. Time for the process is greatly reduced in comparison with the heuristic algorithm, but the result is very similar.

The invention discloses an automatic tapping machine and relates to a processing device used for processing internal screw threads. The automatic tapping machine disclosed by the invention comprises a PLC (Programmable Logic Controller) control circuit, a machine base 051, a marble slab 052, an instrument lathe 053, a positioning adjustment device 054, a limiting device 055, a feed device 056, a tapping device 057, a clamping device 058 and a deceleration motor 059, wherein the marble slab is arranged on the machine base, the positioning adjustment device and the instrument lathe are fixed onthe marble slab, and the deceleration motor is arranged at one side of the instrument lathe. Being controlled by the PLC control circuit, the feed device quickly conveys workpieces, the limiting device ensures the workpieces to be accurately clamped, and the tapping device completes the accurate positioning of screw taps and is matched with the clamping device to complete the tapping process. Theinvention aims to provide the automatic tapping machine to solve the technical problem that manual intervention is needed in the processes of feeding, positioning, clamping, tapping and loosening, and through the invention, the processing speed and the processing accuracy are improved.

The system and associated method for monitoring a vehicle receives data, which may be fault data and/or prognostic data, associated with operation of the vehicle, such as via a data gathering element. In addition, at least one user preference is applied to the data, such as via a customization element, and at least a portion of the data is presented, such as via a display element. The user preference(s) may be an alerting preference, which includes alerting the user one the data reaches a predetermined threshold, a prioritization preference, which includes prioritizing the data based upon historical data, and/or a data delivery preference, which includes delivering the data to one or more locations.

The invention provides a sensor calibrating method and a device. The sensor calibrating method comprises the following steps of: obtaining the mounting data of the multiple sensors; acquiring the testdata collected by the multiple sensors mounted in an autonomous vehicle according to the mounting data, and calibrating the multiple sensors according to the test data. The sensor calibrating methodcan solve the problem that the method for acquiring the internal and external parameter information of the above sensor by means of a software calibration is not suitable for a large number of truck to load and use since the calibration is cumbersome, the efficiency is low, the period is long, the calibration of the parameter accuracy is difficult and the index quantification is difficult. According to the sensor calibrating method, the time cost in the sensor calibrating process can be reduced, which facilitates the rapid integration of the sensor on the autonomous vehicle.

The invention relates to the technical field of internet information processing, in particular to an associated data visualization display method. The method comprises: abstracting associated information of target information into sub-nodes of a corresponding level number, and adding directed edges among the nodes according to pointing relationships among the associated information; and constructing an associative relationship map with the directed edges among the nodes taking the target information as a starting point by using a visualization tool. According to the method, other information associated with the target information can be analyzed from massive associated information data, and an associative mode between an associative path and the nodes is visually displayed by adding the corresponding directed edges among the nodes; and the path is clear, visual and easy to understand, so that the manpower and time costs of users in related data arrangement and analysis are greatly reduced, a reference basis is provided for target information background analysis and mining and related question analysis and tracking, and the method has wide application prospects in the fields of information mining and information processing.

The invention belongs to the technical field of oil-gas field fracturing production-increase propping agent preparation, and relates to a water acid-sensitivity deformation magnetic tracer function self-suspension propping agent and a preparation method thereof. The propping agent comprises an aggregate and a surface hydration layer, wherein the aggregate is one of magnetic rare earth composite resin, quartz sand or ceramsite and like material; the surface hydration layer is composed of three layers, the innermost layer is a cationic macromolecule inner polymer layer or a modifier layer, the middle layer is an anionic macromolecule outer polymer layer, and the outer layer is anti-caking agent. The propping agent has the acid-sensitivity deformation self-suspension function of producing buoyant force while encountering water and breaking gel to precipitate while encountering the acid, and a tracer function of monitoring flow guiding position of the propping agent through electromagnetic imaging; in the process of exerting the fracturing engineering on shale, compact oil-gas or coal bed base and like argillaceous plasticity micronano hole reservoir, the fracturing liquid with the propping agent has excellent flow guiding characters of suspension sand-adding of non-floating to the roof and not sinking to the bottom; the permeation is improved, the hurt is avoided, the propping agent is efficient and capable of increasing production, the construction cost is lowered, and the application prospect is wide.

The invention relates to non-linear optical frequency conversion and the application of the non-linear optical frequency conversion and provides a method and a device which can widen the preparation requirements for a biological sample, do not need preparation of the sample, are high in measurement sensitivity, and can achieve high resolution, fast and real-time biological sample moisture content and distribution imaging measurement. The technical scheme is that the biological tissue moisture measurement device based on terahertz wave attenuated total reflectance (ATR) is composed of a tunable terahertz (THz) radiation source, a non-spherical face lens assembly, a total reflection prism, a two-dimensional mobile scanning platform, a terahertz wave detector and a computer. The total reflection prism is placed in the middle of the non-spherical face lens assembly, the face to be tested of a biological sample to be tested clings to the top face of the total reflection prism fixed on the two-dimensional mobile scanning platform, terahertz (THz) waves are projected to the terahertz detector through the non-spherical face lens assembly, and a detection result of the terahertz detector is output to the computer. The biological tissue moisture measurement device and the method based on the terahertz wave attenuated total reflectance (ATR) are mainly used for biological sample moisture content and distribution imaging measurement.

The invention provides an application converting method and device and equipment. The method comprises the steps that a file of an application subprogram is obtained, wherein the application subprogram is an application program running depending on a master application program; according the file of the application subprogram, an executable file supporting running at a Web terminal is generated; according to the executable file and the second entry file supporting running at the Web terminal, a Web application file is generated, and the executable file is quoted in the second entry file. In the application converting method and device and the equipment, the technical scheme that the file of the application subprogram is converted into the file of the Web application is provided, so that the Web application with the functions identical to that of the application subprogram does not need to be developed separately, so that the labor and time cost required for developing the Web application is saved, the development efficiency is improved, the Web application and the application subprogram which are identical in function share the same set of basic source codes, and the code reuse rate is improved.

The invention relates to a metal material high-energy-beam additive/subtractive material and on-line laser ultrasonic detection composite processing method and belongs to the field of metal material additive/subtractive composite manufacturing (3D printing). The processing method includes the following steps: S1) additive moulding: performing layer-by-layer fusion/solidification stacking with a high-energy-beam fused metal material according to a predetermined route; S2) subtractive processing: performing subtractive processing to the deposited and shaped material to prepare a detection plane having high size-precision and surface quality; S3) laser ultrasonic detection: carrying out laser ultrasonic nondestructive detection on the surface to determine whether defects exist on the surface of or in interior of the material and determine the positions of the defects; and S4) detection determination and treatment: removing excessive surface or subsurface defects through subtractive processing, and adjusting an additive process to perform additive deposition until the whole metal component is completed, and if no defect exists, directly completing the on-line detection and performing high-quality work piece shaping circularly and repeatedly. The method solves a problem that a process of single additive manufacturing of components cannot achieve on-line detection and repair, and can reduce defection rate of products and save cost.

A photovoltaic greenhouse solar energy distribution method based on a crop growth mode includes: firstly, building an illumination need model based on green house crops, a photovoltaic cell equivalent mathematical model and a luminous environment mathematical model of crop canopies, building a multi-parameter, multivariable and nonlinearity coupling pair time differential equation, achieving utilizing an optimization algorithm to design, regulate and control a photovoltaic greenhouse cell array under conditions of different illumination intensity, different illumination angles and different temperatures by solving the differential equation, and achieving solar energy reasonable distribution of photovoltaic cell maximum electric energy production under a condition which satisfies greenhouse crop growth conditions. The invention provides a device used for achieving the photovoltaic greenhouse solar energy distribution method based on the crop growth mode. The invention provides the photovoltaic greenhouse solar energy distribution method based on the crop growth mode and the device of the photovoltaic greenhouse solar energy distribution method based on the crop growth mode, and the photovoltaic greenhouse solar energy distribution method based on the crop growth mode is capable of effectively achieving greenhouse photovoltaic power generation and effective regulation and control of crop growth and energy.

The invention relates to the field of preparation of lithium ion batteries, in particular to a wetting method of a high-capacity high-pressure negative electrode lithium ion battery. On the basis of high temperature wetting, Vacuum injection, high temperature shelving, pre-forming, high temperature shelving, secondary injection sealing and continuous forming are adopted in six phases to fully soakthe high-capacity high-pressure negative electrode. Firstly, the advantages of high-efficiency high-temperature soaking are retained, and two high-temperature shelves are used before and after the high-temperature soaking, which reduces the soaking time and waiting time and saves the time cost. 2, that pre-forming and the continuous for processes are added to enhance the adsorption capacity of the high-capacity high-pressure solid negative electrode to the electrolyte, and the phenomenon of lithium precipitation in the charge-discharge process is avoided; The cycle life of high-capacity high-pressure lithium ion battery is prolonged.

The invention discloses a method for automatically generating an intelligent contract. Intelligent contracts used in the same industry or similar industries are similar, and some fixed features exist in the intelligent contracts; according to the code reuse thought, these fixed features are extracted to compile a data structure and corresponding code fragments, and these code fragments are saved in a code database. According to the method for automatically generating the intelligent contract, an intelligent contract template is utilized to greatly save manpower and material resources and time cost, and the method can be applied to all intelligent contracts having similarities, such as a transaction history contract, a stock contract and a property contract.

The invention discloses a face capture recognition method based on face quality evaluation. The invention adopts depth learning to carry out face quality evaluation score regression training on threetypical data sets with quality grade difference, acquisition of Face Quality Evaluation Model, the model is applied to face capture system, In order to reduce the system load without losing accuracy,the real-time received video stream is divided into several capture cycles according to the fixed number of frames, and the capture quality conditions are dynamically adjusted in each capture cycle, and the highest quality face in a period of time is output for face recognition algorithm to recognize. The invention adopts the technology of depth learning to score face quality, cooperates with facecapture to carry out low-quality face filtering and optimal face selection, thereby better serving the face recognition system, and realizes lower system hardware resource occupancy and higher face recognition rate at the same time.

The invention discloses a method for checking consistency of a schematic diagram and PCB production data. The method comprises steps as follows: making a standard template of a PCB design software schematic diagram netlist file; making a standard template of an ODB++processing data netlist file; extracting a PCB design software schematic diagram netlist, and extracting a processing data netlist; analyzing the netlists, and storing connecting relation description information, device type information, abidance device information, connection node number, connection nodes and a terminator protocol in a list manner; comparing theschematic diagram netlist file with the processing data netlist file according to a defined data storage protocol; generating a report file according to a comparison result. According to the method, the problems of network loss, short circuit and the like caused by negligence, software bug and the like in a PCB design process are solved, time cost consumed by a designer for connecting relation correction is saved, and the method is better than a currently utilized IPC (inter-process communication) netlist comparison method in the aspects of accuracy and efficiency.

The invention discloses a full-automatic cutting apparatus for adhesive tape. The apparatus at least comprises a turntable for changing a station; and two roll shafts arranged on each turntable and used for enabling the roll shafts on the same turntable to alternately locate at a tape coiling station and a loading and unloading station when the turntable rotates, wherein one end of the roll shaft is fixedly connected to respective turntable; the other end of the roll shaft at the tape coiling station is supported on a movable base and used for automatically coiling the tape; and the other end of the roll shaft at the loading and unloading station is arranged to suspend in midair and used for the sleeve of an automatic sleeve device and the unloading of an automatic unloading device. Because a cantilever type roll shaft production mode is utilized, the automatic sleeve device and the automatic unloading device are added, compared with the conventional detachable roll shaft production mode, the invention fundamentally changes the link of heavily loading and unloading the roll shaft and lays the foundation of full automation of a fixed type roll shaft cutting apparatus, thereby reducing the time cost, saving the space cost, saving the labor power, the material resources and the financial resources and improving the automatic degree of a production apparatus.

The invention provides a method for three-dimensional (3D) printing of a restoring implant by bony articular surface reconstruction. First three-dimensional reconstruction of a bone articular model is performed, and then virtual restoration reconstruction of bony articular reconstruction, reversal design of a bone articular defect area restoring implant and 3D printing forming of a bone articular defect restoring implant are performed. Modeling software is utilized to copy a normal side bone articular three-dimensional model to an affected side in a sagittal plane symmetry mode, so as to obtain a complete structure reference model before the occurrence of fracture of the affected side; 3D printing pro-processing software is utilized to support and generate the model, a corresponding forming material and a quick forming process are selected to perform 3D printing, a support structure of the implant is further removed, and finally an individual bone articular reconstruction restoring implant is obtained. The individual reversal design is performed according to the symmetry morphological structure of the human body, the bony articular surface reconstruction defect restoring implant is quickly formed by combination with a 3D printing technology, not only can a bone articular defect restoring reconstruction be greatly improved, but also the design and manufacturing efficiency of the implant is effectively improved, the cost is reduced, and customized design and individual-based treatment are performed.

The invention discloses a method for automatically processing a video according to music beats. Music in a system is subjected to beat type labeling, and one or more than one processing effect matched with each beat type is preset for the beat type; then, a video to be processed is received, the required music is selected from the system, and each beat type of the selected music is extracted; according to each beat type, one matched processing effect is selected; and finally, the processing effect automatically acts on the video to be processed to obtain a result video. A user can add the music to the video only by selecting favorite music, and the video is processed into an effect conforming to the music beats. Learning costs are not needed, few time costs are spent by the user, and the processing effect is good.

The invention discloses an information fusion method and an information fusion server based on social networking services (SNS). The information fusion method includes that through interaction with at least one information platform server, the information fusion server can obtain information provided by the at least one information platform server; and the obtained information is integrated to a display interface to give feedback to a user accessing the information fusion server. According to the information fusion method and the information fusion server based on the SNS, through the information fusion server arranged for a universal micro blogging platform, pages, accounts, contents and other information of different micro blogging platforms can be fused, and therefore the user is enabled to browse and publish micro blogs on the universal micro blogging platform, and the effect that the user can conveniently and quickly access the different micro blogging platforms is achieved. When the user does not register on any micro blogging platform, the user can pay attention to and browse various micro blogging platforms through the universal micro blogging platform; and when the user already registers on the various micro blogging platforms, without logging in the various micro blogging platforms, the user can use the universal micro blogging platform to publish a micro blog message with one key to the various micro blogging platforms.

The invention discloses a vehicle maintenance appointment method and system. The method comprises the following steps: a user logs in an intelligent mobile client side and builds communication connection with a server end; the user chooses an appointment time interval, a service type and service personnel and sends an appointment request to the server end; the server side receives the appointment request and judges whether the time interval exceeds the upper limit of service, if so, the server side feeds back to the mobile client side to remind the user to change the appointment request, and otherwise, an appointment is successful; after the success of the appointment, the server side notifies the appointed service personnel, and the service personnel notify a warehouse manager of preparing articles correspondingly according to the service type appointed by the user, and notify a maintenance factory of setting a maintenance sequence; after a vehicle enters an overhaul work station, the state information of the vehicle is submitted through the server side; the state information of the vehicle is displayed on the intelligent mobile client side in real time by a camera at the corresponding overhaul work station through a network. According to the method and the system, an appointment process is simplified, time is saved, the work load is reduced, and the working efficiency is improved.