912results about How to "Efficient identification" patented technology

A clustering architecture that dynamically groups the search result documents into clusters labeled by phrases extracted from the search result snippets. Documents related to the same topic usually share a common vocabulary. The words are first clustered based on their co-occurrences and each cluster forms a potentially interesting topic. Keywords are chosen and then clustered by counting co-occurrences of pairs of keywords. Documents are assigned to relevant topics based on the feature vectors of the clusters.

An external defibrillator having a battery; a capacitor electrically communicable with the battery; at least two electrodes electrically communicable with the capacitor and with the skin of a patient; a controller configured to charge the capacitor from the battery and to discharge the capacitor through the electrodes; and a support supporting the battery, capacitor, electrodes and controller in a deployment configuration, the defibrillator having a maximum weight per unit area in the deployment configuration of 0.1 lb/in² and/or a maximum thickness of 1 inch. The support may be a waterproof housing.

The invention relates to a device and a method for identifying and evaluating an emergency hot topic. The device is provided with four component parts including a text acquisition unit, a text expression unit, a topic clustering unit and a topic evaluation unit. The device and the method are characterized in that only a title, introduction, relevant features and other information of a text of a news report are extracted and regarded as an effective sample set identified by the hot topic. Compared with the existing full text extraction, the experiment result shows that the result of the existing full text extraction is similar to the result of the partial text extraction, but the operation of the device and the method is greatly simplified. Compared with a classical model, an improved feature weight calculation model is good in execution efficiency and strong in adaptability of text representation capability. The model is used for evaluating the hot value of clustered topics, and the calculated hot topic accords with the expected effect and is adaptive to the features of the emergency news report. In a word, in the process of processing the text of the emergency news report, the device and the method have good performance in aspects of calculation complexity, result accuracy and timeliness.

A computer implemented method on a computer readable media is provided for determining the source of a problem in a complex system of managed components based upon symptoms. The problem source identification process is split into different activities. Explicit configuration non-specific representations of types of managed components, their problems, symptoms and the relations along which the problems or symptoms propagate are created that can be manipulated by executable computer code. A data structure is produced for determining the source of a problem by combining one or more of the representations based on information of specific instances of managed components in the system. Computer code is then executed which uses the data structure to determine the source of the problem from one or more symptoms.

Relationships between components in an application and the services they provide are identified, including redundant caller-callee sequences. Specific components of interest are instrumented to obtain data when they execute. Data structures are created which identify the components and their dependencies on one other. To avoid excessive overhead costs, redundant dependencies are identified. A dependency data structure can be provided for each unique dependency. When repeated instances of a dependency are detected, the associated dependency data structure can be augmented with correlation data of the repeated instances, such as transaction identifiers and sequence identifiers. Sequence identifiers identify an order in which a component is called. A flag can be used to force the creation of a new dependency data structure, and a calling component's name can be used instead of a sequence identifier. Agents report the dependency data structures to a manager to provide graph data in a user interface.

Disclosed is a method for transceiving channel state information in a wireless access system and an apparatus for the method. More particularly, the method comprises: a step of receiving, from user equipment, channel state information measurement capability indicating the total number of pieces of channel state information which can be measured by the user equipment; a step of transmitting, to the user equipment, information regarding the object for channel state information measurement set in the user equipment; and a step of receiving, from the user equipment, channel state information measured in the object for channel state information measurement. The object for channel state information measurement is restrictively set such that the total number of the objects for channel state information measurement is the same as or less than the channel state information measurement capability.

A method and system for discovering from a database an object which is confusingly similar with a known object. A database, such as the internet, is searched for objects which, when discovered, may be duplicated and stored. A determination is then made if any object from the database is confusingly similar with a known object. A computer-readable storage medium storing program for causing a processing system to perform the steps of duplicating objects from a database to produce duplicated objects; storing the duplicated produce to produce stored duplicated objects; and determining if any stored duplicated object is confusingly similar with a known object.

The invention provides a human-machine interaction technology for the hand gesture recognition based on variable number of cameras by adopting an infrared light source. In the method, a user does not need to wear any assistive device, and the method has the outstanding characteristics of wide application range, comprehensive motion sensing capabilities, low production cost, low computation complexity and the like. In the invention, the gesture and location of a hand are modeled by using a virtual reality method, and a template database is generated. In practical use, background-removed input images of a plurality of cameras are compared with items in the template database, and an item with the minimum contrast difference in the database is regarded as an initial recognition result of the gesture of the hand. In order to obtain a more stable recognition result, a smoothing filter method is adopted to correct the initial recognition result so as to provide more stable recognition data for the user. In addition, sequences of hand motions in a continuous period can be recognized by the human-machine interaction technology, and rich options are provided for the human-machine interaction.

A computer-implemented method for use in natural language translation. The method involves attaching pieces of linguistic information to two or more source language elements in a source material in a first natural language. The pieces of linguistic information are matched to one or more predetermined parse rules. Associations are then formed between the two or more source language elements to form terminology candidates, which are then presented to human reviewers. Terminology candidates are subsequently validated by a user, becoming validated terminology which is then translated into a second, different, natural language, becoming translated terminology. The translated terminology can then be loaded into a machine-translation dictionary which can be used during subsequent machine-assisted translations.

Multi-voice speech recognition systems and methods are provided. A speech recognition apparatus may include a plurality of speech recognition means operating in parallel; means for determining the best scoring hypothesis for each speech recognition means and the best overall score; and pruning means for pruning of hypotheses of the speech recognition means based on the best overall score.

The invention discloses a method and device for identifying a falsified webpage. The method comprises the following steps of: initiating a request of accessing a target webpage by simulating a mode of inputting an uniform resource locator (URL) in a browser address bar; determining an obtained page content as a first page content; initiating a request of accessing the target webpage by simulating a mode of skipping from a link; determining the obtained page content as a second page content; comparing the first page content with the second page content to obtain a comparison result; and according to the comparison result, identifying whether the target webpage is the falsified webpage. According to the method and the device, whether the target webpage is falsified or not can be effectively identified, and an effective means for judging whether the target page is falsified is provided for users and computer service.

The invention provides a deep-learning-based partial discharge defective image diagnosing method and system, comprising the following steps: 1) detecting the partial discharge signal of a piece of power equipment; obtaining a partial discharge defective image; 2) creating a partial discharge defective image sample database; extracting the training set and the testing set; 3) creating a deep convolution neural network model; using samples to do deep learning training and testing to obtain the connection weights and bias parameters of the network model; and 4) inputting the partial discharge defective image to be diagnosed into the network model obtained from the step 3; outputting and obtaining the partial discharge defect type of the image. According to the invention, through the utilization of the learning algorithm of the deep learning theory to complete the characteristic extraction task of a partial discharge defective image, it is possible to accurately and effectively identify the defect type of the partial discharge image without the reliance on manual extraction of the characteristic parameters, providing new solutions for insulation state diagnosing of power equipment.

The invention discloses a protocol identification control method based on application behavior mode applied in bandwidth management equipment. The method comprises following steps: judging if the current session possesses specific plaintext character produced by application layer network protocol; If the current session does not possesses specific plaintext character, finding if message character sequence matching with current session existed in the associated IP item between preset network flow and corresponding network protocol; if matching, then determining network protocol used by current session according to corresponding relation of message character sequence and network protocol. The invention can promptly, highly effectively identify network application flow unrecognized by port identification method and DPI method.

An apparatus and method is provided for efficiently determining the source of problems in a complex system based on observable events. By splitting the problem identification process into two separate activities of (1) generating efficient codes for problem identification and (2) decoding the problems at runtime, the efficiency of the problem identification process is significantly increased. Various embodiments of the invention contemplate creating a causality matrix which relates observable symptoms to likely problems in the system, reducing the causality matrix into a minimal codebook by eliminating redundant or unnecessary information, monitoring the observable symptoms, and decoding problems by comparing the observable symptoms against the minimal codebook using various best-fit approaches. The minimal codebook also identifies those observable symptoms for which the greatest benefit will be gained if they were monitored as compared to others.

By defining a distance measure between symptoms and codes in the codebook, the invention can tolerate a loss of symptoms or spurious symptoms without failure. Changing the radius of the codebook allows the ambiguity of problem identification to be adjusted easily. The invention also allows probabilistic and temporal correlations to be monitored. Due to the degree of data reduction prior to runtime, extremely large and complex systems involving many observable events can be efficiently monitored with much smaller computing resources than would otherwise be possible.

The invention discloses an anti-fake product and an identification method thereof. The anti-fake product comprises a carrying body, characteristic number for identifying the anti-fake product exclusively is arranged on the carrying body, a characteristic material code is further arranged on the carrying body, the characteristic material code is obtained by coding encrypted data information through characteristic materials according to a preset coding mode or radio frequency identification (RFID) of the encrypted data information, and the encrypted data information is obtained through encryption of all or part of information which is used for composing the characteristic number by using a preset encryption algorithm. The identification method of the anti-fake product can improve safety anti-fake capability of the anti-fake product and identification capability of a machine to the characteristic number and can read and identify the characteristic number on valuable documents accurately.

Information of failure events from various network devices and service objects is written into original event list. Correlation analysis is carried out for events read by analyzing and controlling engine from the original event list according to levels of original event and selection of classes. The dynamic analytical algorithm synthetically handles information in each area such as scene of historical fault analysis, dynamic performance parameters of network, dynamic topology information and time character of event etc. comparing with prior art, the invention overcomes disadvantages of overlooking information of dynamic network state, dependent on preset rule and lack of auto study ability etc. The invented method provides effective correlation analysis, fault reason analysis and location in real time when storm of network fault happens.

The invention provides a text categorization method and device. The method comprises the steps of replacing characters, except words and numbers, in texts to be processed with preset fixed strings, determining the total length of the texts after replacement and the length of the words contained in the texts and calculating the ratio of the length of the words to the total length of the texts, calculating cheating characteristic indexes of the texts to be processed according to the ratio of the length of the words to the total length of the texts, and determining that the texts to be processed with the cheating characteristic indexes exceeding a preset threshold are garbage texts. The text categorization method and device can effectively make up for the deficiency of existing machine learning methods and improve the accuracy of categorization.

Detection of the difference between images of the same subject obtained at different times is performed effectively. The cardiac phases of the subject are detected, and a current image is obtained through X-raying the subject at the time when the detected cardiac phase corresponds to that of the past image. Thereafter, a differential image is obtained from the current and past images by obtaining the difference between them.

A computer implemented method and apparatus for determining the source of at least one observed event occurring among a plurality of types of components is disclosed. The method, operable on a computer system, utilizes a data structure produced for determining the source of a problem by mapping a plurality of observed events and a plurality of known causing events, wherein the mapping represents a correlation between the observed events and the causing events, determines a distance measure based on mapped correlation values and determines at least one causing event based on a distance measure within a known tolerance above a minimum distance measure.

A system, method, and computer program product are provided for retrieving and displaying predicted weather conditions corresponding to travel destinations selected from an inventory system based on a user query. Some embodiments of the present invention further allow users to specify predicted weather conditions as criteria for searching for product options, such as travel itineraries in an inventory system. Some embodiments allow users to select and/or purchase a weather guarantee wherein at least a portion of a product option purchase price is refunded or credited to the user when actual weather conditions do not meet certain criteria for predicted weather conditions corresponding to the selected product option.

Downloadable identification labels which are downloaded from a world wide computer network to a remote computer and printed on paper using a printer. Each label is printed with the contact information of a central lost and found registry and attached to one or more personal possessions. The labels can also be printed with an identification code, notification that a reward will be paid for a possession which is returned to the owner, sponsor advertising and a warning that the possession has been indelibly marked with identification indicia such as the internet address of the lost and found registry. The central lost and found registry stores, on a database, information about lost possessions and owner contact information as well as information about found possessions and finder's contact information. If a match is found between a lost possession and found possession the registry communicates the contact information of the finder to the owner so that the possession may be recovered by the owner. Owners do not preregister their belongings, codes, or contact information with the central registry. They only register with the registry if a possession should be lost or missing and the owner desires assistance in their recovery.

The application provides a network attack identification method and device as well as a computer readable storage medium. The method may include the following steps: acquiring a preset type of attribute information in a target data stream; inputting the acquired attribute information into a preconfigured machine learning model for calculation, wherein the machine learning model is obtained by training sample data through a supervised learning algorithm; and identifying whether the target data stream belongs to network attacks according to a calculation result. According to the technical scheme provided by the application, the data stream that belongs to the network attacks can be effectively identified; and meanwhile, the network attacks can be identified without extracting attack features, and messages that are transmitted through covert channels, encrypted channels and other modes and belong to the network attacks can be identified.

The invention relates to a digital video camera based red light running detection system and method, wherein a high-definition digital video camera is used for road monitoring. The red light running detection system mainly comprises front end devices and ground devices. A digital video camera (1) among the front end devices is used for collecting crossing images, and the images are transmitted to an industrial control computer (9) through a front end optical terminal (2), optical fiber (6) and a ground optical terminal (10) as one of the ground devices in turn. The industrial control computer is used for identifying behaviors of a vehicle in accordance with the set detection parameters and present signal light status. The computer is also used for extracting information of the red light running vehicle, acquiring information of the vehicle license plate, and storing and managing the image sequence or video flow before and after red light running and the information of the license plate. The invention needs only a high-definition digital video camera for monitoring double lane vehicles in a same direction, and no separate panoramic video camera is needed for photographing the signal light status, so the detection system makes violation identification more powerful.

The invention relates to the technical field of cloud network access admission, and discloses a cloud network admission identifying system and a cloud network admission identifying technology. The system comprises a mobile terminal application module, a cloud system access system and an admission service system. The method comprises the steps that: a mobile terminal applies for registering of terminal equipment; the admission service system allocates a code to a mobile terminal network; the mobile terminal applies for accessing a cloud network; the admission service system generates an authentication parameter sequence through calculation; the mobile terminal verifies the validity of the cloud network; the mobile terminal generates verification feedback result information through calculation; the admission system verifies and determines the validity of mobile terminal access authority; an access server enables a cloud terminal communication secret key; and the mobile terminal enables a terminal communication secret key. According to the related system and method of the invention, the cloud network can effectively identify the validity of the mobile terminal access authority, and the mobile terminal can test and verify the validity of the cloud network in which the mobile terminal is resided.

The invention provides a preparation method for a molecular imprinting material and the molecular imprinting material prepared through the preparation method. The preparation method comprises the steps that silicon oxide is coated on the surfaces of magnetic ferroferric oxide nanometer particles, the magnetic ferroferric oxide nanometer particles are modified with gamma-(methacryloyl chloride) amino propyl trimethoxy silane to obtain magnetic ferroferric oxide nanometer particles with propenyl on the surfaces, the magnetic ferroferric oxide nanometer particles with the propenyl on the surfaces serve as carriers, estrogen receptors are simulated, functional monomers are optimized, a surface imprinting technology is adopted, and then the molecular imprinting material which can simultaneously identify seven kinds of environmental endocrine disrupting chemicals is prepared. According to the preparation method, the easy separation of a magnetic nanometer material, the good water solubility of a silicon oxide nanometer material, the specific recognition ability of molecular imprinting polymers and the surface imprinting technology are mutually combined, the preparation technology is simple, the conditions are mild, the prepared molecular imprinting material is large in adsorption capacity, fast to respond, high in magnetism, good in chemical stability and high in repeating utilization rate, and the problems that at present, multiple trace, steroid and phenol environmental endocrine disrupting chemicals are difficult to simultaneously identify, separate and enrich are solved.

Techniques for more efficiently identifying specific topological patterns in microdevice design data, such as layout design data. A user provides a topological pattern matching tool with a pattern template. In response, the topological pattern matching tool will analyze the pattern template to create a set of “design rule check” operations that can be performed to identify topological features of the layout design that will include the set of topological features specified for the template. The topological pattern matching tool also specifies properties that should be determined for each set of topological features identified by a design rule check operation. Once the design rule check operations have been created, the tool applies them to the layout design data being analyzed. The results produced by the design rule check operations will be a group of topological features in the layout design that encompass the topological features specified for the template. The results also will include a set of properties for each of the identified topological features. Next, the pattern matching tool creates a search graph based upon the results of the design rule check operations. Once the search graph is constructed, the pattern matching tool traverses the search graph to identify combinations of nodes connected by graph edges representing feature characteristics that match the constraints specified for the pattern template. For each such identified combination of nodes, the tool will output the arrangement of geometric elements corresponding to the nodes as a topological match to the original template.

The scheme of the invention discloses a vehicle assistance driving system based on the infrared thermal imaging and millimeter wave radar technology. The main functions include pedestrian and vehicledetection, image and sound fusion and collision early warning in driving of the vehicle. The early warning system uses the following technical characteristics: the infrared camera and the millimeter wave radar specialized for vehicle-mounted assistance driving, the data acquired by the radar, such as the distance, the direction and the speed and the images acquired by the infrared camera are fusedfor screening and determining the pedestrians or the vehicles, the pedestrian or vehicle characteristics are extracted through the algorithm, finally the result is displayed on the visual interface and multidimensional early warning information including images, numbers and sound is provided.

The invention discloses a long window scaling factor-based playback voice attack detection algorithm which is developed for solving a problem that rights and interests of a legitimate are damaged when conventional attackers use playback voice to enter a speaker identification system. The detection algorithm can be used for effectively identifying playback voice from different sources and is high in detection accuracy; after a module of the detection algorithm is loaded to a GMM-UBM system, playback voice attack resistant capability is improved, error probability of the identification system and the like is lowered by 32%, and a safety problem of the identification system is greatly alleviated.

The present invention relates to methods and systems for achieving effective neuromodulation by transcranial ultrasound (bioTU). Embodiments of the invention include methods and systems for selecting, generating, and delivering transcranial ultrasound to the brain of a living subject. Methods and systems are described for determining the effect of bioTU on brain function. Certain embodiments of the present invention include methods and systems for measuring at least one quantifiable metric of brain activity, cognitive function, or physiology in order to optimize the ultrasound waveforms delivered. In an embodiment, the invention uses a closed-loop design to iteratively improve the effectiveness of bioTU waveforms delivered.

The invention belongs to the field of computers, and discloses a method for realizing the identity discrimination of operating users through recognizing the keyboard/mouse input habits of the operating users. The method comprises the following steps: defining the input habits such as keystroke pressures, pressing intervals, loosening intervals, associated intervals and combined intervals; when carrying out single-key mapping input through a keyboard, inputting word groups through a keyboard, inputting function keys through a keyboard, inputting combination keys through a keyboard, and carrying out mouse keypad entry and mouse pulley key input, and recording related inputs so as to form a quantitative data storage-recognition data model; and because a difference with a certain rule exists between the recognition data models formed by operating the keyboard and the mouse by each user, when the users carry out input operation, recognizing different users through comparing the input information with the recognition data models. By using the method disclosed by the invention, the effective identity discrimination on the operating users can be realized through recognizing the keyboard/mouse input habits of the operating user; and through carrying out quantization processing on the slight differences of input habits, the recognition level as that of fingerprint recognition can be achieved.