853results about How to "Simplify the build process" patented technology

The invention relates to the field of the car electronic and artificial intelligent field, and particularly discloses an active-mode intelligent safety monitoring instrument for a car and a monitoring method thereof. The active-mode intelligent safety monitoring instrument for the car comprises an embedded system (comprising a microprocessor, a monitoring program and relevant algorithm, which are cured inside a chip), a GPS module, a GSM module, an SIM card reader, an alarming device, a CCD camera, a multi-axis acceleration sensor, a power supply system (a lithium battery, a solar battery and a power supply adapter interface), an integrated circuit board, a shell (comprising a functional plate and a battery cover), an antitheft remote controller, a buckling-type rubbery-prevention remote controller and a power supply adapter. The instrument utilizes the GPS to realize the positioning, displacement bulgur prevention, speed measurement and timing, utilizes GSM to realize the auxiliary positioning and the SMS automatic alarming, utilizes the CCD combination mode to identify and monitor the fatigue driving, robbery and accident state and utilizes the acceleration sensor to detect the accident state. The instrument can realize the functions such as mobile positioning, over-speed alarming, positioning antitheft automatic alarming, positioning robbery-prevention alarming, fatigue driving prevention and warning, traffic accident automatic positioning, alarming and help, and the like.

The invention discloses a D2D (Dimension To Dimension) pair/D2D cluster communication building method which comprises the following steps that: 1) initiator user equipment actively sends a cluster building request signaling code to a base station via a honeycomb link, wherein the content of the cluster building request signaling code comprises a communication mode, user equipment capability and a business label; 2) after the base station receives the cluster building request signaling code, the relevant information of the initiator user equipment is measured and analyzed so as to be combined with a system information selecting and scheduling mechanism to broadcast the cluster building request signaling code; 3) after the initiator user equipment and the adjacent user equipment receive the cluster building request signaling code, analysis is carried out by aiming at a cluster building strategy message; 4) the initiator user equipment sends a channel probing signal; the adjacent user equipment measures the D2D link quality; and the adjacent user equipment, which satisfies the requirement and serves as the candidate cluster use equipment, sends the cluster building confirmation message. According to the D2D pair/D2D cluster communication building method, the traditional cluster communication building flow simplified, resources are saved, and time delay is lowered.

The invention provides an automobile automatic driving test case generation method based on scenes and tasks, and the method comprises the following steps: 1), selecting typical traffic behaviors in acomplex and multi-element road traffic scene, and constructing a test task library; 2) defining terms of a traffic scene and related elements thereof, describing concepts, attributes and hierarchicalrelationships of scene elements, and constructing an ontology model of the road traffic scene; 3) generating a traffic scene based on the traffic scene model and the traffic behavior task library, the traffic scene being generally composed of a plurality of traffic participants, a specific time-space road environment and a traffic scene, and generally including a plurality of driving tasks; and 4) further describing a traffic scene in detail by defining a parameter range and correlation of variables in the state space, and selecting representative discrete values for combination by applying boundary value analysis, equivalence class division and other methods in software testing to generate a plurality of test cases.

The invention relates to a surface defect detection method based on positive case training. The method comprises two steps of image reconstruction and defect detection, image reconstruction is to reconstruct an inputted original image into an image without defects, reconstruction steps are as follows, artificial defects and noise are added to the positive case image during training, a self-encoderis utilized for reconstruction, the L1 distance between the reconstruction result and the noise-free original image is calculated, the distance is minimized as a reconstruction target, in cooperationwith the generative adversarial network, the reconstruction image effect is optimized; defect detection is performed after image reconstruction, LBP features of the reconstructed image and the original image are calculated, after difference between the two feature images is made, the two images are binarized based on the fixed threshold, so the defects are found. The method is advantaged in thatthe depth learning method is utilized, the method can be sufficiently robust to be less susceptible to environmental changes when positive samples are enough, moreover, based on regular training, themethod does not rely on a large number of negative samples and manual annotation, the method is suitable for being used in real-world scenarios, and the surface defects can be better detected.

The invention discloses a font style migration method based on a conditional cycle consistency generative adversarial network, and the method specifically comprises the steps: building a source font data set and a target font data set, and carrying out the normalization processing along with the data sets; building a font style migration network structure, wherein a network is composed of a generator based on a conditional generative adversarial network and a residual network and a discrimination network based on PatchGAN; inputting source fonts and label pictures into the generator, and generating target style fonts; enabling the discriminator network to perform authenticity discrimination on the generated target font and the real target font corresponding to the generated target font, optimizing the Chinese character migration network by means of the idea of adversarial network training to achieve mutual mapping migration of two font styles, reduce manual interference in the font generation process, and improve the automation degree of font generation.

The invention provides an audio comment information generating method and device and an audio comment playing method and device. The audio comment information generating method and device and the audio comment playing method and device are used for solving the problems that the generating modes of text comments are complex, affect user experience and reduce the text comment browsing efficiency. The audio comment information generating method comprises obtaining audio information when input triggering audio is detected during the playing process of certain video data; uploading the audio information to a server; converting the audio information into audio comment information through the server. The audio comment playing method comprises, after a video playing request is sent to the server, receiving pre-generated video data issued by the server and corresponding audio data, wherein the audio comment information comprise the identity of at least one audio datum; obtaining corresponding audio data and playing the audio data after receiving a selecting instruction aiming at the identity of a certain audio datum. According to the audio comment information generating method and device and the audio comment playing method and device, the audio comment generating process is simple and high in university, and by calling the voice and the sound feeling of a user, user experience can be enhanced and the audio comment playing efficiency can be improved.

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, a spiral-guided curved face numerical control machining method, belongs to the numerical control trajectory planning and processing areas. A spiral-guided curved face numerical control machining method is, processing the workpiece with 3D curved face mesh, making spline-interpolation-based planar isometric or non-isometric spiral line as the parameter line, and by mapping, generating 3D physical space processing trajectory, that is, with the clear mathematical expressed planar spiral line guidance, and the pitch of the spiral line should be determined by the spacing requirements of the processing trajectory. First, according to the 3D curved face of the workpiece, make processing trajectory planning; then, according to the used numerical control machine make post-processing to the planed trajectory. Using the spiral-line guided curved face machining method, the cutter movement smooth, wearing small, machine noise low, efficiency high, and save a lot of processing time, decrease the production cost.

A user recommendation method comprises the following steps of acquiring an instruction for triggering recommended users, generating a candidate recommended user list according to the instruction, reading user social interaction quality data, calculating the matching success rate of users in the candidate recommended user list according to the social interaction quality data, and choosing at least one user with the highest matching success rate from the candidate recommended user list to be recommended. The user recommendation method is used so that the recommendation performance and the recommendation efficiency can be improved. In addition, the invention further provides a user recommendation system.

The invention discloses a method for realizing identification in a wireless evolutionary network, comprising: establishing a connection between a mobile station and a wireless evolutionary accessing network, performing two-way identification between the mobile station and a wireless evolutionary network via a wireless evolutionary core network signaling entity, and generating a shared secret key; establishing a safe alliance between the mobile station and the wireless evolutionary core network signaling entity by means of the generated shared secret key. The invention also discloses a wireless evolutionary network safety system in which a safe alliance between the mobile station and the wireless evolutionary core network signaling entity is established for protecting interaction signaling and user data. The invention is based on a developping trend of the wireless evolutionary network, realizes two-way identification between a mobile terminal and the network, the identification is performed in a network layer independent of link layer technic, thereby the identification has general-utility.

The invention provides an individualized orthodontic arch wire curve interactive adjustment method, and relates to the field of orthodontic arch wire bending and forming. According to the method, based on actual tooth position information of a patient, through adjustment of bracket straight line segment positions, change of transition curve segment shapes and selection of the insertion positions and types of special function curves, forming and bending of an individualized orthodontic arch wire is realized. The technical points are selection of patient data, setting of compensation values, setting of transition curve segments, and position adjustment of insertion of the special function curves and bracket straight line segments. The individualized orthodontic arch wire curve interactive adjustment method provided by the invention can be used for digital forming and individualized forming of orthodontic arch wires, and provides a necessary bending algorithm for bending an orthodontic arch wire by automation equipment.

The invention provides an audio comment information generating method and device and an audio comment playing method and device. The audio comment information generating method and device and the audio comment playing method and device are used for solving the problems of difficulty in text comment generation and influence of text comment browsing on user experience during a video playing process. The video comment information generating method comprises obtaining audio information when input triggering audio is detected during the playing process of certain video data; uploading the audio information to a server; converting the audio information into audio comment information through the server. The audio comment playing method comprises, after a video playing request is sent to the server, receiving pre-generated video data issued by the server and corresponding audio data. According to the audio comment information generating method and device and the audio comment playing method and device, the audio comment generating process is simple and high in universality; during a video playing process, a user can play the audio data simultaneously, and the user experience can be enhanced by calling the voice and the sound feeling of the user.

The invention discloses a stable knockout single plasmid vector with coordination of transposon and a CRISPR/Cas9 system and application of stable knockout single plasmid vector and belongs to the field of gene engineering. The single plasmid vector is a double-stranded circular plasmid containing an IRDR-L-IRDR-R box, and the IRDR-L-IRDR-R box comprises an IRDR-L sequence, a promoter, a gRNA scaffold sequence, a Cas9 protein sequence, a resistance screening gene sequence and an IRDR-R sequence. The single plasmid vector provided by the invention can realize expression of sgRNA and a Cas9 protein only needing once construction and once transfection. A method is simple in process, is efficient and rapid, greatly simplifies a plasmid construction flow, shortens an experiment period and improves the working efficiency. The vector provided by the invention carries a transposase recognition sequence, does not use a virus, can conveniently, rapidly and safely establish a gene knockout stablecell line and is beneficial to screening stable cell lines by comprising the puromycin screening resistance.

The invention provides a method for analyzing a microbial population function by using metagenome data. The method comprises the following steps: collecting all known microbial species, gene and function information, and integrating the information as a reference database; sequencing the metagenome of the to-be-tested microbial specifies, controlling the sequencing data quality, computing speciesabundance and gene abundance, analyzing the composition difference of microbes among different samples and gene level difference; annotating the gene function, clustering the genes with the same function to obtain a function module, performing adduction computation on related abundance of all non-redundancy genes in various function modules to obtain abundance values of all function modules, performing difference comparison analysis or overall evaluation on the functions of the to-be-tested sample microbes. Through the method provided by the invention, the step of respectively comparing the splicing data, the assembling data, the predicting data and the sequencing data with the single function database is saved, the time is saved, the utilization efficiency of the sequencing data is improved, and the method can be used for analyzing high-throughput microbe whole-genome sequencing data and screening the function microbe.

The invention provides an electrolyte/electrode interface integrated construction technology of an all-solid-state lithium battery. According to the electrolyte/electrode interface integrated construction technology, a polymer electrolyte layer is prepared on a positive electrode material layer in situ; the interface contact between the positive electrode material layer and the electrolyte layer is improved and the interface impedance is reduced, so that the rate performance and the circulating performance of the battery are improved. A construction process of the all-solid-state lithium battery is extremely simplified, the cost is reduced and the interface contact is optimized; meanwhile, the electrical conductivity and the electrochemical stability of polymer electrolyte are improved.

The invention provides a parameter sound source modeling method based on an improved BP (Back Propagation) neural network, in order to solve the problem of difficulty in modeling a parameter sound source system at present. The method comprises the following steps: firstly, collecting sufficient training and testing sample data and preprocessing the data; establishing a neural network model; adopting a genetic algorithm for performing optimizing process on the structure and parameter of the neural network model; searching for an initial weight value and a threshold value between the number of better neural network hidden layers and neural cells; and lastly, training and testing an established parameter sound source model based on the improved BP neural network by using the sample data. The model has the advantages of reliability and higher assessing precision.

The invention provides a nonlinear active-disturbance-rejection control method for a vertically rising and falling repeatedly-used carrier. The method comprises the following steps of step 1,attitudecontrol model establishment; step 2,TD tracking differentiator design; step 3,nonlinear expansion state observer design; step 4,nonlinear active-disturbance-rejection controller design; and step 5,nonlinear feedback control law design. The nonlinear active-disturbance-rejection control method for the vertically rising and falling repeatedly-used carrier is provided for the defects of longer attitude response time,weak anti-noise ability,lower attitude control precision and the like of an existing active-disturbance-rejection controller,combines a nonlinear TD tracking differentiator with a finite time convergence characteristic,an expansion state observer with fixed time convergence and a nonlinear feedback control law to form a novel nonlinear active-disturbance-rejection controller,thereby improving the complex external interference rejection ability of a system,and also improving the attitude control precision and response speed.

The present invention proposes an improved Apriori algorithm based method for mining a database association rule. According to the method, a transaction database is converted into a relational matrix, the converted relational matrix is a sparse matrix, and the relational matrix is stored with an orthogonal link list. A generation process of a frequent item set is converted into an operation process of a single link list node set corresponding to items in the corresponding relational matrix. According to the method, a database only needs to be scanned once, so that the shortcomings that Apriori and a related algorithm therefor generate a large amount of candidate sets and need to scan the database for multiple times are overcome, and the time of frequently performing I/O operations is shortened; then, when a frequent 2-item set is generated and found, only an intersection operation of a node set needs to be performed, so that less time is consumed; and a single link list constructed by a generated frequent k-item set is recorded, so that a generation process of a frequent K+1-item set is simplified, and a complex pruning process of the Apriori algorithm is avoided.

In a method and system for providing Internet Key Exchange (IKE) during a Session Initiation Protocol (SIP) signaling session, the method includes: enabling a caller end node device to send a first SIP request message to a callee end node device, wherein the first SIP request message includes a payload unit of a first IKE quick mode initial message; enabling the callee end node device to respond to the first SIP request message with an SIP response message, wherein the SIP response message including includes a payload unit of an IKE quick mode response message; and enabling the caller end node device to send a second SIP request message to the callee end node device, wherein the second SIP request message includes a payload of a second IKE quick mode initial message.

The invention provides a method for generating a bullet screen emoticon. The method comprises the following steps of S100.receiving a bullet screen emoticon generation instruction of a current video;S200.capturing a playing image comprising at least one bullet screen text of the current video; S300.editing a video picture in the playing image and/or the bullet screen text in the playing image; and S400.storing the edited playing image in order to generate the bullet screen emoticon. Through adoption of the method for generating the bullet screen emoticon, which is provided by the invention, an image-text emoticon can be manufactured in combination with a video content and a bullet screen content, the operation is convenient, the emotion of a user can be easily expressed, and meanwhile, aneffect of spreading and popularizing related bullet screen culture can be achieved, and the interest of the user to watch the bullet screen video is further stimulated.

The present invention relates to an example-based concept-orietned data extraction method. In an example labeling phase, the exemplary data string is converted into an exemplary token sequence, in which the target concepts and filler concepts are labeled to be tuples for use as an example, and thus an exemplary concept graph is constructed. In the data extraction phase, the untested data string is converted into an untested token sequence to be processed, and, based on the associated concept recognizers defined by the tuples in the example labeling phase, it is able to detect the concept candidates and establish the composite concepts and aggregate concepts, thereby constructing a hypothetical concept graph. After comparing the exemplary concept graph with the hypothetical concept graph, the optimal hypothetical concept sequence in the hypothetical graph is determined, so as to extract the targeted data from the matched target concepts.