1038results about How to "Accurate understanding" patented technology

The invention disclosed herein enables a collection of computers and associated communications infrastructure to offer a new communications process which allows information providers to broadcast information to a population of information consumers. The information may be targeted to those consumers who have a precisely formulated need for the information. This targeting may be based on information which is inaccessible to other communications protocols. The targeting also includes a time element. Information can be brought to the attention of the consumer precisely when it has become applicable, which may occur immediately upon receipt of the message, but may also occur long after the message arrives. The communications process may operate without intruding on consumers who do not exhibit the precisely-specified need for the information, and it may operate without compromising the security or privacy of the consumers who participate.

The invention relates to a method and a system for storing mass data of the Internet of Things (IoT). The system comprises a plurality of data receiving nodes, a master node server and a database cluster. The method comprises the following steps of: (1) carrying out preprocessing on IoT data, and putting the preprocessed data in the database cluster consisting of a master node, slave nodes and the data receiving nodes; (2) creating sample records, which take sample elements as storage units, on the master node according to the static and dynamic information of the data in the database cluster; (3) after the sample records are encapsulated, sending the encapsulated sample records to all the slave nodes by the master node so as to be subjected to fragmentation processing and / or separated storage; and (4) after the slave nodes complete storage, uploading results to the master node, and updating the data in the database cluster by the master node, thereby completing storage. According to the method and the system, the cluster is extended by fully utilizing the existing storage technologies so as to store the mass data, the IoT data are divided into lightweight data and multimedia data, and particularly, a fragmentation strategy is adopted aiming at a large-scale amount of data, so that the time expenditure caused by the extension of a storage space is avoided.

The present invention is a system and framework for augmenting any retail transaction system with information about the involved customers. This invention provides a method to combine the transaction data records and a customer or a group of customers with the automatically extracted demographic features (e.g., gender, age, and ethnicity), shopping group information, and behavioral information using computer vision algorithms. First, the system detects faces from face view, tracks them individually, and estimates poses of each of the tracked faces to normalize. These facial images are processed by the demographics classification module to determine and record the demographics feature vector. The system detects and tracks customers to analyze the dynamic behavior of the tracked customers so that their shopping group membership and checkout behavior can be recognized. Then the instances of faces and the instances of bodies can be matched and combined. Finally, the transaction data from the transaction data and the demographics, group, and checkout behavior data that belong to the same person or the same group of people are combined.

A voice recognizer 3 generates plural voice recognition results from one input speech 2. For each of the voice recognition results, an intent understanding processor 7 estimates an intent to thereby output one or more candidates of intent understanding results and scores of them. A weight calculator 11 calculates standby weights using setting information 9 of a control target apparatus. An intent understanding corrector 12 corrects the scores of the candidates of intent understanding result, using the standby weights, to thereby calculate their final scores, and then selects one from among the candidates of intent understanding result, as an intent understanding result 13, on the basis of the final scores.

An improved method of classifying examples into multiple categories using a binary support vector machine (SVM) algorithm. In one preferred embodiment, the method includes the following steps: storing a plurality of user-defined categories in a memory of a computer; analyzing a plurality of training examples for each category so as to identify one or more features associated with each category; calculating at least one feature vector for each of the examples; transforming each of the at least one feature vectors so as reflect information about all of the training examples; and building a SVM classifier for each one of the plurality of categories, wherein the process of building a SVM classifier further includes: assigning each of the examples in a first category to a first class and all other examples belonging to other categories to a second class, wherein if any one of the examples belongs to another category as well as the first category, such examples are assigned to the first class only; optimizing at least one tunable parameter of a SVM classifier for the first category, wherein the SVM classifier is trained using the first and second classes; and optimizing a function that converts the output of the binary SVM classifier into a probability of category membership.

Enhanced systems and methods for processing of healthcare information are provided. According to one embodiment, a method comprises receiving, at a claim processing system that is operable to adjudicate a claim for payment from an insurer for services rendered to a healthcare consumer, a request for estimated healthcare payment information. The request may pertain to a service that has not been rendered to the healthcare consumer. The request for the estimated healthcare information may be received (e.g., electronically, such as via a web interface, and / or otherwise via a communication network, such as the Internet) from the healthcare consumer or from a healthcare service provider. The method further comprises processing the request by the claim processing system for determining the requested estimated healthcare payment information. The method further comprises communicating, from the claim processing system, a response to the request that includes the estimated healthcare payment information.

A crystalline composition comprising a crystal of the IL-6 receptor I chain is provided. Also provided are methods of using the crystal and related structural information to screen for and design compounds that interact with IL-6R, or variants thereof. Also provided arc methods of modulating an IL-6 receptor comprising contacting the IL-6 receptor with a compound identified by the screening method of the invention.

A method and system for implicitly resolving pointing ambiguities in human-computer interaction by implicitly analyzing user movements of a pointer toward a user targeted object located in an ambiguous multiple object domain and predicting the user targeted object, using different categories of heuristic (statically and / or dynamically learned) measures, such as (i) implicit user pointing gesture measures, (ii) application context, and (iii) number of computer suggestions of each predicted user targeted object. Featured are user pointing gesture measures of (1) speed-accuracy tradeoff, referred to as total movement time (TMT), and, amount of fine tuning (AFT) or tail-length (TL), and, (2) exact pointer position. A particular application context heuristic measure used is referred to as containment hierarchy. The invention is widely applicable to resolving a variety of different types of pointing ambiguities such as composite object types of pointing ambiguities, involving different types of pointing devices, and which are widely applicable to essentially any type of software and / or hardware methodology involving using a pointer, such as in computer aided design (CAD), object based graphical editing, and text editing.

Methods and computer executable instructions are disclosed for ultimately developing a dosimetry plan for a treatment volume targeted for irradiation during cancer therapy. The dosimetry plan is available in "real-time" which especially enhances clinical use for in vivo applications. The real-time is achieved because of the novel geometric model constructed for the planned treatment volume which, in turn, allows for rapid calculations to be performed for simulated movements of particles along particle tracks there through. The particles are exemplary representations of neutrons emanating from a neutron source during BNCT. In a preferred embodiment, a medical image having a plurality of pixels of information representative of a treatment volume is obtained. The pixels are: (i) converted into a plurality of substantially uniform volume elements having substantially the same shape and volume of the pixels; and (ii) arranged into a geometric model of the treatment volume. An anatomical material associated with each uniform volume element is defined and stored. Thereafter, a movement of a particle along a particle track is defined through the geometric model along a primary direction of movement that begins in a starting element of the uniform volume elements and traverses to a next element of the uniform volume elements. The particle movement along the particle track is effectuated in integer based increments along the primary direction of movement until a position of intersection occurs that represents a condition where the anatomical material of the next element is substantially different from the anatomical material of the starting element. This position of intersection is then useful for indicating whether a neutron has been captured, scattered or exited from the geometric model. From this intersection, a distribution of radiation doses can be computed for use in the cancer therapy. The foregoing represents an advance in computational times by multiple factors of time magnitudes.

The invention provides a traffic jam avoiding prompting system based on a collective intelligence network. The traffic jam avoiding prompting system consists of a webpage traffic hot spot digging module, a microblog traffic hot spot digging module, a road condition rule predicting module, a jam hot spot verification and management module, a real-time traffic hot spot server, a traveling route planning module based on hot spot avoiding, a traffic hot spot and avoiding route display module and intelligent mobile phone end application software. The traffic jam avoiding prompting system faces the collective intelligence sensing network, is combined with the traditional traffic information sources, carries out digging and prediction on the urban traffic hot spots on the basis of the data activation technology, and further provides the traffic jam hot spot display and avoiding prompt service for intelligent terminal users. The traffic jam avoiding prompting system has the advantages that the data is from the multi-source collective intelligence network, the accuracy is good, the checking comprehensive rate is high, the hot spots are captured and fed back in real time, high efficiency and practicability are realized, the design is good, the operation is stable, the installation is convenient, the traffic jam avoiding prompting system can become a tool capable of providing wide and practical intelligent traffic information for urban residents, and the efficient information prompt is provided for the users to realize the smooth traveling.

The invention provides a mobile robot SLAM method based on image marker identification. The method adopts an EKF-SLAM model to carry out time update of the robot state parameters and measurement update based on the marker identification. With the method, a large quantity of information can be obtained from the environment, thereby enabling the robot to construct high-precision environmental maps. Compared with existing methods, the mobile robot SLAM method is more accurate in environmental space structure understanding, stronger in anti-interference capability, and higher in accuracy of the constructed maps.

The invention discloses a paging system used for summoning taxis and a paging method thereof. The system comprises: a mobile passenger terminal, a taxi terminal and a taxi summoning platform. The mobile passenger terminal is used to send a summoning request to the taxi summoning platform and receive confirmed summoning information. The taxi terminal is used to receive the summoning information published by the taxi summoning platform and send the feedback information of agreeing taxi summoning to the taxi summoning platform. The taxi summoning platform is used to receive the summoning request of a passenger, send the summoning request to the taxi terminal, receive the feedback information of agreeing taxi summoning of the taxi terminal and send the taxi information to the mobile passenger terminal. By using the system and the method of the invention, the passenger and a taxi driver can accurately know the information of each other and needs of the each other. The paging from the passenger to the taxi can be rapidly and high efficiently achieved and response of the taxi can be received rapidly. A success rate of the taxi paging can be increased.

The invention relates to a method for constructing a real scene model collaborative design platform of railway engineering. Railway and urban rail transit projects are distributed in a strip shape, engineering data are large, numerous professions are involved, and therefore, the efficient and stable collaborative design platform needs establishing. According to the method, the strip-shaped continuous three-dimensional real scene model is established along the whole range of the project, and fusion processing is performed on all professional three-dimensional building information models (BIM) and the three-dimensional real scene model. Under the management mode of a distributed database, management is performed on a global data base of the three-dimensional real scene model collaborative design platform and special databases of all professional BIM design platforms which only transmit upstream data and downstream data involved in collaborative design and generated BIM three-dimensional design results onto the three-dimensional real scene model collaborative design platform. By means of the method, the strip-shaped project information model along the whole range of the project is established, all professional interactive data are integrated into a continuous three-dimensional real scene, and collaborative design is achieved.

The invention provides an intelligent handling system and method for elevator failure repair, which can efficiently and quickly handle elevator failures, lowers the elevator running cost and guarantees life and property safety. The intelligent handling method comprises the following steps: one-key repair or code-scanning repair is performed, wherein one-key repair is that a one-key repair button arranged in an elevator car is pressed down to send failure information including the elevator name and the like to a cloud platform through a network, and code-scanning repair is that repair QR codes are scanned with a mobile phone to be linked to the cloud platform, and then the failure information is sent to the cloud platform through the network; after receiving the failure information, the cloud platform sends the elevator position and the failure information to a property management terminal and a maintenance personnel terminal through the network; after seeing the failure information on the maintenance personnel terminal, maintenance personnel receives or refuses maintenance tasks and feeds back to the cloud platform, and if receiving the maintenance tasks, the maintenance personnel feeds the progress and handling information of the maintenance tasks through the maintenance personnel terminal; and the cloud platform sends the progress and the handling information of the maintenance tasks to the property management terminal and the maintenance personnel terminal through the network.

The invention proposes a refrigerator, a voice interaction system, a voice interaction method, a computer device and a computer readable storage medium, wherein the voice interaction system comprises a voice acquiring module used to acquire and pre-process the voice signals and to transmit the pre-processed voice signals to a voice recognition module; the voice recognition module used to convert the processed voice signals into text information and to transmit the text information to a processing module and a semantics understanding module respectively; the semantic understanding module used to convert the text information into semantic result and to transmit the semantic result to the processing module; and the processing module used to check and combine related information base according to the text information and the semantic result to execute voice interaction tasks corresponding to the voice signals. According to the invention, interactive scenes are provided in advance so as to understand the user's languages more accurately, to realize more natural human-machine interactions, to increase the interaction experience and to make the refrigerator more intelligent.

The invention provides an urban real-time road condition interactive system, a device and a method based on an internet of things. The method is that an urban traffic command center releases real-time road conduction information; after an urban real-time road condition interactive device installed in a vehicle receives the real-time road condition information, the urban real-time road condition interactive device obtains vehicle position information and current vehicle running speed information, displays the real-time road condition information and the vehicle position information to personnel on the vehicle, and transmits the vehicle position information and the current vehicle running speed information to the urban traffic command center; and urban traffic command center determines the road condition of each road section according to the received vehicle position information and the received current vehicle running speed information, and generates real-time road condition information to be released at the next time. By adopting the scheme, the real road condition information of each road section can be obtained in time and thereby drivers can conveniently and properly select running lines.

Methods and computer readable media are disclosed for ultimately developing a dosimetry plan for a treatment volume irradiated during radiation therapy with a radiation source concentrated internally within a patient or incident from an external beam. The dosimetry plan is available in near"real-time" because of the novel geometric model construction of the treatment volume which in turn allows for rapid calculations to be performed for simulated movements of particles along particle tracks therethrough. The particles are exemplary representations of alpha, beta or gamma emissions emanating from an internal radiation source during various radiotherapies, such as brachytherapy or targeted radionuclide therapy, or they are exemplary representations of high-energy photons, electrons, protons or other ionizing particles incident on the treatment volume from an external source. In a preferred embodiment, a medical image of a treatment volume irradiated during radiotherapy having a plurality of pixels of information is obtained.

A printing apparatus includes an image data input means for receiving input data, image data processing means for processing the image data and drawing the image data in an image memory unit, printing means for forming an image on a transfer sheet using the image data drawn in the image memory unit, and display means for displaying, either dynamically or successively, which process the image data is undergoing at any given moment, beginning with image data reception and ending with image data printing.

The invention discloses a multisource semantic analysis based information retrieval method. The method comprises the steps that document acquisition and preprocessing are performed; document modeling is performed by utilizing an LDA model, and a reverse index is established; obtaining and preprocessing of user's initial query are performed; multi-dimensional analysis is performed according to the judgment whether queried lexical items are professional medical vocabularies or not, lexical item weighting and query extension are performed based on WordNet and UMLS Metathesaurus; the similarity between a queried extended word set and documents undergoing dimensionality reduction of LDA is calculated, ranking is performed according to progressively decreasing similarity, and the documents which are not lower than a preset threshold value are extracted and returned to a user. The multisource semantic analysis based information retrieval method integrates the characteristics of the WordNet and the UMLS Metathesaurus, conducts multi-dimensional analysis, weighting and extension on the initial query, can make the user's query intention more accurately understood, utilizes the LDA model to perform document modeling, analyzes the document representation capacity of lexical items at hidden theme level and improves the document retrieval performance for the user.

The invention discloses a situational searching method. The situational searching method comprises the following steps of: acquiring a query string which is required to be input by a user from the current operation interface of the user, and pre-processing the obtained query string; according to the contents of the current operation interface of the user, performing contextual analysis and situational calculation on the pre-processed query string; and according to a contextual analysis result and a situational calculation result, recognizing the retrieval intention of the user, and according to the recognized retrieval intention of the user, performing situational searching, and returning a retrieval result. Meanwhile, the invention also discloses a situational searching system. By the invention, the retrieval intention of the user can be completely understood, and seamless connection between the current operation and searching of the user is realized.

The invention provides a robot operating method and a robot. The robot operating method comprises the steps that the robot grabs a target article and moves towards the destination position of the target article; the robot photographs video information of the current scene in real time through a photographing device and transmits the video information to a communication terminal which is bound with the robot in advance; and when the robot moves to the position away from the destination position by a preset distance, the moving speed of the robot is decreased to the target speed, the photographing frame rate of the photographing device is increased to the target frame rate, photographing is conducted at the target frame rate, and the photographed video information is transmitted to the communication terminal in real time. By adoption of the robot operating method and the robot, a user can accurately know the condition of the current scene of the robot, and the probability of misoperation is lowered.

The invention provides an independent study system for assisting a user in reinforcement learning of the teaching knowledge point after class; learning contents stored in a cloud server are classified by six levels, and teaching contents are displayed by various modes, so that a whole brain thinking method (a mind map) and a whole brain memory method are adopted to be synchronized with subjects in primary and middle schools, and all the knowledge points can be put into practice; the independent examination is detailed to keywords, so that knowledge disconnection is avoided, and the knowledge continuity is high; meanwhile, the interactivity of the study system is obviously improved by a voice identifier; furthermore, the independent study system can monitor study attitudes of users and a study environment and make a linkage response; the intelligence and the user-friendly performance are improved.

The invention discloses a semantic representation model processing method, a semantic representation model processing device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence. According to the specific implementation scheme, a training corpus set comprising a plurality of training corpuses is collected; and training a semantic representationmodel based on at least one of word segments, sentences and articles by adopting the training corpus set. According to the method and the apparatus, the unsupervised or weakly supervised pre-trainingtasks of three different levels of word segments, sentences and articles are constructed, so that the semantic representation model can learn knowledge of different levels of the word segments, the sentences and the articles from mass data, the capability of general semantic representation is enhanced, and the processing effect of the NLP task is improved.

When having obtained sound singles transmitted / received among plural terminal apparatuses, a sound recognition unit of a conference server performs a sound recognition processing on the obtained sound signals and then generates text information. A language analyzing unit of the conference server performs a language analysis processing on the text information generated by the sound recognition unit and then disassembles the text information into words. A deciding unit of the conference server compares the disassembled words and a keyword database, and decides whether or not any keyword stored in the keyword database is contained in each sentence of speech contents of respective speakers. A totalizing unit calculates a cumulative score based on the decision result of the deciding unit which represents a state of a discussion, and then it is decided in accordance with the calculated cumulative score whether or not the discussion matches to the subject.

The invention provides a service requirement obtaining and modelling method based on a domain model, which adopts an analysis method based on the domain model, takes a domain target model form to describe domain similarity requirements and takes a domain process model form to describe a service combination scheme provided for satisfying the similarity requirements. Because user requirements always face a special art, the method of the invention is favourable for improving service combination efficiency. In addition, the invention adopts the domain ontologies technology to improve the capability of supporting diversified user requirement expression forms; interaction with users is favourable for accurately understanding requirements as well as fully reusing domain resources and improving the service experience quality of users.

The invention discloses a massive web log data query and analysis method based on Hadoop and Hive by means of high reliability, high expansibility, high efficiency and high fault tolerance of a Hadoop and Hive distributed computing platform. The method includes the following steps that data of each data source are analyzed; the data are loaded into a database; HiveQL sentences are received; the received sentences are optimized to obtain a primary map result; the received sentences are converted into a Map Reduce task, the task is executed, and a query result is stored; the data are segmented; the data are analyzed and dug; the data are loaded into a Mysql database. According to massive web log data, precise query and data analysis are achieved, expansibility and effectiveness of storage, query and analysis of the massive data are achieved, and the problem that due to uneven job distribution caused by data skew, overall performance is reduced is avoided.

The present invention disclose a human anatomic structure model and implant rapid forming method. The method is characterized by comprising: firstly, obtaining three-dimensional digital models of an implant, an anatomic structure or parts and layers of the anatomic structure by software processing; secondly, performing inward or outward cavity, hollowing and thin wall processing on all or part of the models by the software to form an internal frame structure or add an internal tube cavity structure, thereby obtaining a printing model; thirdly, directly adding a supporting structure to a structure small in size and low in printing cost and performing printing; fourthly, performing 3D supporting structure analysis on a bulky, branch or netty structure, performing segmentation, printing the segmented model, and obtaining the model by assembling and bonding; and finally, further processing the model. According to the method provided by the present invention, the modeling precision can be improved, printing materials can be reduced, the costs and time are saved, and certain technological bottlenecks are avoided, so that the method is practical and easy to generalize.