165 results about "Identification criteria" patented technology

Computer-implemented process and apparatus for screening data for malware. Received data stored in at least one data store includes at least: (i) a first protected item of data containing contents that are generally inaccessible without specific access credential information, and (ii) specific access credential information corresponding to the first protected item of data. The received data is analyzed to detect any protected items of data therein based on predetermined protected data item identification criteria and to detect any access credential information contained therein based on predetermined access credential identification criteria. In response to a detection of the specific access credential information in the at least one data store, the specific access credential information is stored in the at least one data store in a grouping arrangement with other access credential information. In response to a detection of the first protected item of data, use the specific access credential information is stored in the grouping arrangement to facilitate access to the first protected item of data by a malware screening process to extract its content. The malware screening process is executed to scan the content extracted from the first protected data item to detect a presence of malware.

An autonomous weapon system including weapon (9) and weapon mounting system (7, 8) operable to point the weapon (9) in accordance with input control signals. The weapon system includes a sensor (2) to acquire images and other data from a target zone and an image processor (3) to process acquired image data and identify potential targets (1) according to predetermined target identification criteria. Targeting system (4, 5) provides input control signals to the weapon mounting system (7, 8) to point the weapon (9) for firing at potential targets (1). A control system operates targeting system (4, 5) and fires the weapon (9) at selected targets (1) according to a predetermined of rules of engagement. The rules of engagement include combat, peacekeeping or policing scenarios. Remotely located operator (10) may amend the rules of engagement, or override the control system as required.

A surveillance and reporting system (SRS) is provided that enables a user to monitor and generate reports from multiple related sources pertaining to events associated with each of these sources. The SRS is internet based, thereby providing access to remote users. The SRS also provides for identification of the sources by combining multiple databases related to each source in a tabular form in order to enable generation of complete reports and in order to enable sorting and filtering based upon more extensive source identification criteria. The SRS also accommodates changes in the underlying identification data by revising or generating up to date tables containing current identifying data for each of the multiple sources in a tabular form, thereby avoiding the need to reprogram the report procedures as a result of changes in the underlying data. The internet user may configure reports from a control panel that allows the user to select and to group multiple sources and to filter and sort data relating to the statistical performance of those sources with the most recent up to date information generated from each of the multiple sources. The reports may be in the form of tables, graphs or charts. The user also may select to receive reports by electronic mail or some other medium for convenient reference.

The invention discloses a multi-terminal flexible DC grid DC line quick protection method and system based on single-terminal voltage. The method comprises the following steps: collecting the voltagesignals on the two sides of DC positive and negative line current limiting reactors in real time; forming a low voltage starting criterion; performing wavelet transform on the calculated line mode voltage on the current limiting reactors and calculating the wavelet transform modulus maximum; performing the data validity test and recording the size and the symbol of the first wavelet transform modulus maximum meeting the data validity condition; establishing the fault identification criterion to identify the fault based on the symbol and amplitude difference of the single-terminal voltage traveling wave wavelet transform modulus maximum; and constructing the fault pole identification criterion to identify the fault pole based on the size difference of the voltage traveling wave transient energy. According to the line protection method, the fault direction can be reliably and quickly identified under various initial fault conditions, and the transition resistance, the fault location andthe fault of the AC system and other factors have little influence on the protection criterion so as to have high reliability and sensitivity.

The invention relates to a digital lightning detection method and a device thereof. The method comprises the following steps: receiving an electromagnetic signal generated when cloud-to-ground flash lightning discharging to generate an electric detection signal; digitalizing the conditioned electric detection signal; filtering the digital signal; establishing a uniform time scale; establishing a lightning signal identification criterion and a digitized cloud-to-ground flash lightning signal identification model by a time determination method, a bipolar test method and a homopolar test method by considering transmission features of a lightning electromagnetic radiation waveform; establishing a time window preprocessing area, and acquiring a development trend of the input digital signal and the corresponding typical parameters; and computing and determining the parameters of the input digital signal in combination with data in the time window by the digitized cloud-to-ground flash lightning signal identification model . The device consists of an antenna, a signal conditioner, an analog to digital converter, a module of cloud-to-ground flash lightning signal identification model, a system control manager, an assistant control manager, a communication interface, an external memory and a clock.

Performance of statistical machine learning techniques, particularly classification techniques applied to the extraction of attributes and values concerning products, is improved by preprocessing a body of text to be analyzed to remove extraneous information. The body of text is split into a plurality of segments. In an embodiment, sentence identification criteria are applied to identify sentences as the plurality of segments. Thereafter, the plurality of segments are clustered to provide a plurality of clusters. One or more of the resulting clusters are then analyzed to identify segments having low relevance to their respective clusters. Such low relevance segments are then removed from their respective clusters and, consequently, from the body of text. As the resulting relevance-filtered body of text no longer includes portions of the body of text containing mostly extraneous information, the reliability of any subsequent statistical machine learning techniques may be improved.

A system and method for identifying one or more notable moments from video data are disclosed. In one embodiment, the system includes a video receiving module, an identification criteria module, a moment identification module and a presentation module. The video receiving module receives video data. The identification criteria module determines one or more criteria for identifying a notable moment. The one or more criteria are based at least in part on one or more of an audio indicator and a facial indicator. The moment identification module automatically identifies at least one notable moment in the video data based at least in part on the one or more criteria. The at least one notable moment is based on a subset of the video data. The presentation module sends the identified at least one notable moment for presentation to at least one user.

The invention relates to a generative adversarial network-based remote sensing image thin cloud removal method. The method includes the following steps that: step 1, a thin cloud removal system modelis established; step 2, a network model is designed; step 3, an identification criterion function is constructed; step 4, the thin cloud removal system performs identification; and step 5, thin cloudsin a remote sensing image are removed. According to the method of the invention, the generative adversarial network is adopted to construct the model of an image thin cloud removal problem and perform system identification on the model, thereby realizing end-to-end thin cloud removal; and the constructed criterion function combines the errors of data distribution and reconstruction accuracy, so that the system can better learn the characteristics of data, thus, achieving the removal of the thin clouds. The method provided by the invention has a capacity to adaptively remove uneven thin clouds. With the method adopted, a restored image has high color and texture consistency.

The invention discloses a multi-terminal flexible DC power line DC line protection method based on voltage pole waves. According to the method, voltage response characteristics of a fault line and a non-fault line at the line boundary during the DC line fault are analyzed, a wavelet transform tool is utilized to extract the transient voltage pole wave characteristic quantity, and internal and external fault identification criteria based on voltage pole wave amplitude characteristics are constructed; for lightning stroke interference, lightning stroke identification criteria for a voltage polewave high and low frequency energy ratio are established; according to the voltage pole wave amplitude relationship of the two-pole line, fault pole identification criteria are constructed. Compared with other protection principles, the method is advantaged in that the motion speed is relatively fast, influence of lightning stroke disturbance is avoided, anti-transition resistance capability is relatively strong, and sensitivity is high.

The invention relates to a winter wheat area estimation method based on remote-sensing time series data, which is based on the remote-sensing time series data, and comprises the steps that remote-sensing vegetation index time series data is converted into a wavelet coefficient spectrum by continuous wavelet conversion; wavelet coefficient binary images representing annual vegetation change characteristics of pixels in a study region are established on the basis; the wavelet coefficient binary images of a plurality of known winter wheat sampling points are superposed; standard wavelet coefficient binary images of winter wheat in the study region are generated; the wavelet coefficient binary images of the pixels in the study region and the standard wavelet coefficient binary images of the winter wheat are superposed one by one; winter wheat identification criteria are established after statistic superposition; the pixels are subjected to winter wheat identification one by one; and finally a winter wheat planting area of the whole study region is obtained by summarizing and computing. The method can effectively solve the problems that annual variance amplitude of the original vegetation index is inconsistent due to various factors, and has the advantages of high anti-noise capacity, good classification accuracy, wide application scope and the like.

The invention relates to the welding joint defect identification technology and aims to provide a method for automatically identifying a defect type of a polyethylene electrofusion joint through ultrasonic phased array inspection. The method comprises steps as follows: the polyethylene electrofusion joint is subjected to phased array inspection by ultrasonic equipment, an ultrasonic phased array inspection map is output, and a two-dimensional real-time scanning image is captured for digital processing; a graphic feature is extracted after optimization and partition, and defect features are simplified and classified; an automatic defect identification criterion is established, the defect type is determined, and quantitative information is determined according to a specific defect characterization rule. According to the method, the defect type is automatically identified by analysis software, and the technical problem about automatic connection of ultrasonic inspection and safety assessment of the polyethylene electrofusion joint is solved; a two-dimensional matrix containing defect information is directly processed, the data size is small, the identification precision is high, and the identification efficiency is high; interference caused by human factors is avoided, so that the defect identification result is more reliable, the assessment result is more objective, and the method can be used for performing automatic identification and quantitative analysis on various irregular typical defects.

The disclosed information input device (190) is provided with a touchpad and enables multiple types of gesture operations to be rapidly inputted regardless of the position from which the operations are initiated, and without detracting from the ease of input. The disclosed device is provided with: a touch pad (100); a touch position detection unit (101) which detects touch information which is information on a user's finger coming into contact with a touch sensor; a touch operation initiation position detection unit (103) which uses touch information to detect a touch operation initiation position which is the position where the touch operation of a user is initiated; a touch operation identification criteria storage unit (115) which associates touch operation identification criteria with the touch operation initiation position, and stores the touch operation identification criteria, which are for recognising a plurality of touch operations; and a touch operation identification unit (114) which uses the touch operation identification criteria associated with the touch operation initiation position detected by the touch operation initiation position detection unit (103) to identify touch operation, and finds the touch operation which was carried out by the user.

The invention discloses a real-time on-line identification criterion method of an electric system node voltage steady state. After a PMU conducts sampling every time, a voltage stabilization discrimination result is computed in real time, where each discrimination comprises the following steps that 1), data collection and processing are conducted; 2) tracking calculation is conducted on Thevenin equivalent parameters; (3) according to a simple power network obtained through the present Thevenin equivalent parameters, a differential state equation of a node voltage dynamic trajectory is computed and described; (4) a voltage steady state on-line identification criterion of a node to be analyzed is obtained. The real-time on-line identification criterion method of the electric system node voltage steady state achieves voltage steady state on-line identification of the node to be analyzed is obtained by means of PMU measurement data.

A process for the automatic identification of a document in a computer includes analyzing the data contained in the document according to their content and/or their position in the document and then comparing one by one to one or more identification criteria for the document, an identification criterion being defined by the content and/or the position of a characteristic datum of the document.

The present invention relates to method and system for restricting access of one or more users to a service provided by a service provider. The one or more users are affiliated with an entity. The method comprises providing the entity with an ability to create one or more rules for restricting access of the one or more users to the service. The one or more rules are then obtained from the entity. When a request is received from a user for accessing the service, it is identified if the request is a request to which the one or more rules are to be applied based on a first identification criterion. The one or more rules are then applied to such a request.

The invention relates to a downhole directional hole bedding guided drilling system and method based on formation lithology identification. The lithology while-drilling identification of a drilling stratum is achieved through a direct parameter comparison method and an orientation radiating rose diagram comparison method according to coal measure stratum lithology while-drilling identification criteria and the stratum natural radiation value, measured by a coal measure stratum physical property parameter while-drilling measurement device in real time, of the near-bit position. By combination with measurement of a drilling track, precise space positioning of a practical drilling track relative to a target stratum is achieved, and bases are provided for controlling a downhole directional hole to do bedding extension in the target stratum in the preset direction; the technical problems that an existing underground coal mine directional drilling technology can only conduct drilling according to the space geometric positioning of the drilling track, cannot distinguish strata and is poor in drilling efficiency and low in target stratum elongation are solved; and through precise bedding directional drilling of the downhole directional hole, an effective means is provided for improving the drilling construction efficiency and the utilization effect, verifying the stratum geological information of a mine lot and ensuring drilling construction safety.

The invention discloses a research method suitable for characteristics of an interlayer oxidation zone of a sandstone-type uranium deposit. The research method comprises the steps of S01, establishing macro identification criteria for sandstone of each sub-zone of an interlayer oxidation zone of a target stratum in a research area; S02, acquiring samples and conducting a analytical test; S03, establishing geochemical indicators for each sub-zone of the interlayer oxidation zone according to results of the analytical test; and S04, conducting research on characteristics of each spatial sub zone of the interlayer oxidation zone according to the geochemical indicators for each sub-zone of the interlayer oxidation zone. Through research on the geochemical indicators for different sandstone in a known typical ore deposit in the research area, the invention establishes the geochemical indicators for determining oxidation sandstone, mineralization sandstone and native sandstone, and carries out promotion and application to the entire research area to find out spatial distribution characteristics of each sub-zone of the interlayer oxidation zone in the research area, so that the spatial distribution characteristics of each sub-zone of the interlayer oxidation zone in the research area can be more close to the actual situation, thereby providing more useful guidance to prospecting and exploration.

The invention relates to a lightning interference and lightning fault identification method, particularly to a PSO (Particle Swarm Optimization) improved atomic decomposition method based lightning interference and fault identification method. The frequency component analysis is performed on voltage and current signals formed at the fault line protection installation position by an atomic decomposition method, a lightning interference identification method based on the existence of a zero sequence current steady state power frequency component is proposed, double fault type identification criterions based on the current line mold component atomic decomposition energy ratio and the fault phase current electromagnetic transient characteristics are proposed, and accordingly the accuracy of fault identification is improved. According to the PSO improved atomic decomposition method based lightning interference and fault identification method, optimal match atoms and parameters of the atoms of signals are self-adaptively found on the basis of an over-complete redundant atom library and accordingly the adaptive expression of the signals can be simple, the decomposition result can be sparse, the information density and the use flexibility are greatly improved, and the processing cost is reduced.

The invention relates to a transformer excitation surge current identification method based on time-frequency characteristic quantities, and belongs to the technical field of transformer relay protection. The method comprises the steps: if the differential current of a transformer is larger than a setting value, decomposing data inside continuous N sliding time windows by utilizing the discrete wavelet decomposition, respectively calculating the total energy Ej of differential currents inside the sliding time windows and the energy sum Edi of frequency bands of the sliding time windows, obtaining the energy percentage Eij of each sub frequency band inside one time window, and forming a characteristic matrix WTF. A correlation coefficient of integrated time-frequency characteristics of the sum inside two adjacent time windows is calculated. When is smaller than , the is equal to 1, or the is equal to 0. By utilizing the correlation coefficient for representing the time-frequency characteristics of different current signals and the change rules of the different current signals, the integrated correlation coefficient is combined to form an excitation surge current identification criterion. According to the transformer excitation surge current identification method based on the time-frequency characteristic quantity, by starting from the analysis of the differential current time domain and the frequency domain, the time-frequency characteristic differences between fault currents and excitation surge currents inside different sliding time windows are effectively found out, and compared with a traditional surge current identification method by utilizing a single characteristic quantity, the transformer excitation surge current identification method based on the time-frequency characteristic quantities has the advantages of integrating multiple pieces of information such as the amplitude, the phase, the singularity and frequency distribution of the differential current and having higher reliability.

The invention relates to an identification method for wind power abnormal data points. The identification method includes the tenth step that, a wind power plant equivalent power curve is obtained according to values, taken when wind speed values are different, of the upper boundary and the lower boundary of an equivalent power curve, the twentieth step that characteristics of the typical abnormal data points of the four types, namely, the type 1, the type 2, the type 3 and the type 4, caused by three common events of communication faults, man-made wind abandoning and off-net of wind turbines are summarized, and the thirtieth step that identification criteria corresponding to abnormal data points of different types are established so that the abnormal data points of the four types can be identified.