11978results about How to "Save time and cost" patented technology

Disclosed are systems and methods for creating and distributing programming content carried by a digital streaming media to be a plurality of remote nodes located over a large geographic area to create customized broadcast quality programming at the remote nodes. At the remote nodes, a multi-window screen display simultaneously shows different programming including national programming and local programming content. The remote nodes utilize a remote channel origination device to assemble the customized programming at the remote location that can be controlled from a central location. An encapsulated IP and IP encryption system is used to transport the digital streaming media to the appropriate remote nodes. Also disclosed is a graphical user interface (“GUI”) providing a software control interface for creating and editing shows or programs that can be aired or played on a remote display device having a multi-window display. The intuitive GUI Software provides the user the ability to easily manage and assemble a series of images, animations and transitions as a single broadcast quality program to be displayed on a remote display device. Another application software system is capable of automating the production of audio narration reports. The disclosed audio concatenation engine automates the creation of audio narration using prerecorded audio segments to minimize the requirement for live, on-air personnel to record audio narration segments.

The present invention incorporates a flexible RF seal into the ground face of a typical connector. The seal comprises a flexible brim, a transition band, and tubular insert with a insert chamber defined within the seal. In a first embodiment the flexible brim is angled away from the insert chamber, and in a second embodiment the flexible brim is angled inward toward the insert chamber. A flange end of the seal makes a compliant contact between the port and connector faces when the nut of a connector is partially tightened, and becomes sandwiched firmly between the ground surfaces when the nut is properly tightened. The present invention allows the connector to make a uniform RF seal on a port even with a range of tightening torques.

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.

The invention provides an automatic vehicle detection method based on deep learning. The automatic vehicle detection method based on deep learning can utilize a convolution neural network to automatically extract the vehicle characteristics in the traffic environment so as to eventually realize automatic detection and identification of a vehicle target. The automatic vehicle detection method based on deep learning can be applied to different environments, different illumination intensities and different weather situations, and can guarantee higher accuracy for detection for a vehicle in a complicated traffic environment, and provides a new real-time reliable preprocessing step for identifying and tracking the vehicle target for the subsequent video monitoring.

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 discloses an intelligent warehousing route planning method and system based on multiple AGVs. The method comprises the following steps: S100, defining a task distribution rule; dividing the priorities when the storage tasks are generated; S200, adjusting the dynamic priority; carrying out dynamic priority adjustment on the task of the AGV load in transportation; S300, planning an optimal path: dynamically and accurately calculating and locking a time window to reset a path so as to avoid conflicts, respectively carrying out coping strategy research on predictable vertical meeting conflicts and opposite meeting conflicts, and finally finding out a conflict-free shortest path; s400, predictively avoiding a conflict strategy; carrying out traffic rule making and unpredictable conflict detection and processing on traffic problems which may be encountered by a plurality of AGVs in the transportation process of a storage workshop. According to the system, the time cost of warehousing workshop tasks is reduced to the minimum, it is guaranteed that the path cost of the AGV is the minimum under the condition that vehicles are free of collision, and meanwhile the task scheduling efficiency and the vehicle scheduling efficiency are improved.

The invention discloses an identity verification method and an identity verification device. The method comprises the steps of acquiring first identity information corresponding to a resource account and an identity document image collected by a terminal; judging that whether the second identity information in the identity document image is matched with the first identity information; in the case that the second identity information is matched with the first identity information, acquiring the multimedia information of an object to be verified corresponding to the identity document image and collected by the terminal; and determining the identity verification result of the object to be verified based on the multimedia information and the identity document image. According to the method, the technical problem that in the related technologies, the time cost is high when the online identity verification is performed is solved.

The invention relates to a system used for intelligently analyzing the individualized tumor gene detection. The system comprises a test platform, a knowledge base platform, a cloud computing platform and a terminal entry platform. After a collected biological sample is subjected to computer sequencing through the test platform, the sequencing data is transmitted to the cloud computing platform, and meanwhile, after a user inputs sample information and analysis requirements on the terminal entry platform, the information is transmitted to the cloud computing platform; the knowledge base platform is used for collecting analysis knowledge data; the sample sequencing data is subjected to biological information analysis through the cloud computing platform, and after calling the data analysis in the knowledge base platform, the cloud computing platform transmits the generated analysis report to the terminal entry platform; report downloading and feedback are conducted through the terminal entry platform. By means of the system, more accurate treatment information can be better provided for patients according to the individualized tumor analysis of large-scale sequencing results, and the treatment cost is saved.

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 provides a movable laser cladding and repairing system in the field of laser cladding and repairing. The movable laser cladding and repairing system comprises a movable platform, wherein a laser, a robot, a position changing machine, a powder feeder, an image processing system, a control system (comprises a PLC (programmable logic controller) main control system, a PC (personal computer) computing workstation), a video camera, a three-dimensional laser scanning sensor, a laser processing head and a coaxial powder feeding head are fixedly arranged on the movable platform. The movable laser cladding and repairing system takes the robot as a moving body, controls the clad pool size, the temperature and other information by using an image acquiring and processing system, and scans a workpiece to slice, stratify and automatically clad a three-dimensional workpiece model based on the three-dimensional laser sensor; the movable laser cladding and repairing system is convenient and flexible, simplifies a repairing process, achieves precision and self-adaptive control of a cladding process, effectively improves the cladding quality, and facilitates field application of a large component through the movable platform.

The invention discloses an ArcGIS-based map building and intelligent vehicle autonomous navigation method and system. The method comprises the following steps: 1, acquiring longitude and latitude information of a region to be navigated through equipment; 2, building and drawing a two-dimensional vector map and a road section text file of a fork road by using an ArcGIS tool; 3, obtaining the shortest path by using a path planning tool, and extracting a track from the path; 4, carrying out coordinate system conversion on the track, wherein during autonomous navigation, a 5-meter interpolation algorithm is used; obtained path points are very smooth; the number of the path points is increased, path precision of the road section is improved, and driving steadiness is guaranteed; furthermore, the time for path searching is not obviously prolonged. The method can supply more precise and more intensive tracking points to intelligent vehicle autonomous navigation under a condition of use of a map with the same complexity, and the tracking points are converted into coordinates under an intelligent vehicle coordinate system, so that the curve fitting difficulty is 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 neural network-based chat robot dialogue semantic intention prediction method and a learning training method. The prediction method is used for a chat robot to predict a possibly continuous dialogue intention or point of interest (one of multiple dialogue intentions or points of interest) of a dialogist according to a sequence (said) statement eigenvector of the human dialogist; and by heuristically selecting an output dialogue of the chat robot and taking an answer of the dialogist as a verification feedback of a previous intention prediction result, online reinforcement learning and self-updating of an algorithm are realized, the accuracy of dialogue intention prediction is continuously improved, the round number of chat can be increased, and the interest of thedialogist can be enhanced.

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.

The invention discloses an online cognitive assessment system and an assessment method, and belongs to the field of assessment systems. The online cognitive assessment system comprises a terminal platform, wherein the terminal platform comprises a processor module, a power supply module, a man-machine interaction module, a communication module, a recording module, an assessment module, a storage module, a calculation module and an output module; the power supply module, the man-machine interaction module, the communication module, the recording module, the assessment module, the storage module, the calculation module and the output module are connected with the processor module respectively. Online cognitive diagnosis is carried out through reading and processing information of each module. By adopting the online cognitive assessment system and the assessment method, rapid and accurate assessment and good accuracy can be realized, and information is updated in real time.

The invention discloses a method for acquiring an aromatic rice strain by targeting a Badh2 gene via CRISPR/Cas9 gene editing technology. The method comprises the following steps: separately targeting sequences, recognizable by Cas9, of every exon and intron of an aromatic gene by using the CRISPR/Cas9 gene editing technology and then cutting a genomic DNA sequence to initiate DNA restoration so as to obtain an afunctional Badh2 gene; with the callus of Indica rice, japonica rice or glutinous rice as a receptor material of genetic transformation and an mature embryo, young ear, ovary or the like as explant, carrying out induction so as to obtain a diploid callus, introducing a targeting vector into cells of the callus by using an Agrobacterium mediated transformation method, screening and identifying positive plants and separating the plants from a T1 colony so as to obtain an aromatic rice strain; and with anther, pollen, unfertilized ovary or the like as explant, carrying out induction so as to obtain a haploid callus, introducing the targeting vector into cells of the callus by using the Agrobacterium mediated transformation method, screening a positive callus, reduplicating the positive callus by using colchicine, carrying out differentiation to form seedlings and identifying genetic transformation positive plants so as to eventually obtain the aromatic rice strain.

The invention relates to a multi-layer mixed synchronization bonding structure and a method for three-dimensional packaging. The method comprises the following steps of: forming a hard metal conical array on a surface of a metallic pad of a substrate to be mixed and bonded; forming a soft metal layer on the surface of the metallic pad of the other substrate to be mixed and bonded; forming dielectric adhesion layers on surfaces of non-metallic pads of the two substrates to be mixed and bonded; aligning the hard metal conical array with the soft metal layer, heating and pressurizing to make thehard metal conical array inserted into the soft metal layer, and combining the dielectric adhesion layers with each other to form a mixed pre-bonding structure; and then heating, forming an intermetallic compound in the hard metal conical array which is inserted into the soft metal layer, and solidifying and combining the dielectric adhesion layers. Compared with the conventional bonding method, the method provided by the invention has the advantages that: yield is high; bonding time is saved; cost is reduced; and the reliability of a product is improved at the same time.

The invention discloses a decentralized federated learning method under privacy protection. The decentralized federated learning method comprises a system initialization step, a request model and local parallel training step, a model parameter encryption and model sending step, a model receiving and recovering step and a system updating step. Decentralization is achieved by using a strategy of randomly selecting participants as parameter aggregators, and the defects that existing federated learning is easily attacked by DoS, a parameter server has a single point of failure and the like are overcome; a PVSS verifiable secret distribution protocol is combined to protect participant model parameters from model inversion attacks and data member reasoning attacks. Meanwhile, it is guaranteed that parameter aggregation is carried out by different participants in each training task, when an untrusted aggregator occurs or the aggregator is attacked, the aggregator can recover to be normal by itself, and the robustness of federated learning is improved; while the functions are achieved, the federated learning performance is guaranteed, the safety training environment of federated learning is effectively improved, and wide application prospects are achieved.

The invention provides a system for comprehensive utilization of three industrial wastes, mainly relating to the field of energy conservation and emission reduction, in particular to the comprehensive utilization of the three industrial wastes; to realize the objective of energy conservation and emission reduction required by the recycle economy, a system technology targeted at comprehensive utilization of the three industrial wastes of factories is adopted; in the invention, the reactor in the nuclear plant, the boiler in the coal-fired power plant and other types of supercritical boilers are utilized to provide a new cooling and turbine drive mode to solve the issue of industrial discharge of greenhouse gas and other polluting gases; in addition, collected emissions are utilized to produce nuclear fuel, compound chemical fertilizer or feedstuff and other chemical raw materials; moreover, to realize recycling of resources and sustainable utilization of energy, the original three wastes are innovatively applied to nuclear electric power generation. The system is characterized by comprising 10 major links and the beneficial effect thereof lies in utilizing new methods to realize energy conservation and emission reduction and production cost in the late stage of production can be reduced.

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.