418 results about "Group detection" patented technology

TV white space spectrum sensors and methods for detecting and managing the white space are provided. The sensor is provided with a spectrum detector/analyzer, which senses and analizes the wireless signals present in a spectrum of interest, identifies white space, and assigns the white space to secondary services. For reducing the white space detection time, the sensor uses a group detection method whereby multiple channels are sensed simultaneously. For reducing the sensor cost, the dynamic range of the sensor is reduced by operating the sensor in saturation for signals with the energy higher than a threshold. The sensor is also provided with a spectrum manager/planner capable of understanding a plurality of air interface standards, reserving and providing the right amount of white space spectrum to each application, based on the respective standard requirements. The particular architectures used by the sensor result in an affordable addition to any wireless device.

A system, computer program, and method of providing an automatic cooperative response ability to all members of a domain in light of a detected threat or other suspicious activity, such as, for example, a virus or denial of service attack, directed, at least initially, at less than all members of the domain. The system broadly comprises the domain; a log server; a detection server; and a profile server. The domain comprises a logical grouping of members having similar risk profiles. The detection server monitors and parses log and audit records generated by the members and copied to the log server. When the detection server identifies threatening or other suspicious activity it sets an alert status in a security profile stored on the profile server. The members periodically query the profile server for updates to the alert status and are thereby apprised of the alert.

A method, system and computer program product implementing a computational algorithm that enables analysts to discover/find groups within a database of seemingly random electronic data in a relatively short period of time. A computer system is provided that includes a processor and program code executing on the processor for completing the following functions: (a) receiving a plurality of random electronic data corresponding to one or more activity within a monitored system; (b) discovering a group of associated data points from within the plurality of electronic data.

Disclosed is a method and system for automatically forming a group to share a media file or adding the media file to an existing group. The method and system includes receiving, by a processor, a media file comprising an image, identifying, by the processor, the face of a first person in the image and the face of a second person in the image, identifying, by the processor, a first profile of the first person from the face of the first person and a second profile of the second person from the face of the second person, automatically forming, by the processor, a group of recipients in a messaging application, the forming of the group of recipients based on the first profile and the second profile, the group of recipients comprising the first person and the second person; and sharing, by the processor, the media file with the group.

The invention discloses an orthorhombic double-U-type intelligent visual detection array probe based on alternating current field measurement (ACFM). A probe excitation part takes an orthorhombic double-U-type magnetic core as a frame and is wound with two groups of current-carrying coils to form an excitation array, thereby providing a necessary rotary uniform induction magnetic field for defect intelligent visual detection and eliminating the influence of a defect direction on detection sensitivity; each group of detection coils is formed by winding on the same I-type magnetic core frame in an orthorhombic way and is respectively used for detecting the magnetic flux density in the horizontal direction and the vertical direction, and a plurality of groups of detection coil sets are arranged in an array way to form a detection array. When the array probe moves on the surface of a workpiece at uniform speed, a similar uniform strong magnetic field which uniformly rotates is generated on the surface of a workpiece to be detected so that the probe has higher detection sensitivity on defects in any direction; in addition, the detection array extracts magnetic field disturbance information used for defect identification and visualization and marks a numerical value in a voltage form, thereby achieving the aim of detecting the position, the size and the shape of defects.

The invention relates to the field of sensor design and manufacturing, and particularly relates to a parallel structure six-dimension force sensor which can achieve partial decoupling. The parallel structure six-dimension force sensor comprises a fixed platform, a force measuring platform, a column body and a detection branches, wherein the fixed platform is located horizontally, the force measuring platform is parallel to the fixed platform, strain gages are arranged on the detection branches, elastic spherical hinges are respectively arranged at two ends of each of the detection branches, two groups of detection branches are arranged, each group comprises three detection branches, wherein one group of the detection branches is vertically arranged, the other group of the detection branches is horizontally arranged, two ends of each of the detection branches vertically arranged are respectively connected with the fixed platform and the force measuring platform through the elastic spherical hinges, and the detection branches horizontally arranged are located on the force measuring platform. The parallel structure six-dimension force sensor has the advantages of being simple in structure, convenient to process, simple in measuring principle, capable of achieving the partial decoupling of six-dimension force measuring, convenient to operate, and wide in application occasions.

The invention discloses a method for judging and positioning a distributed traveling wave fault of a power transmission line, and relates to the technical field of power transmission line fault positioning. The method comprises the following steps: S1, arranging n groups of detection devices on M and N buses of a transformer substation and on an overhead transmission line; S2, detecting and reading the current information of each group of detection devices; S3, carrying out the phase-mode conversion of a three-phase fault current traveling wave; S4, carrying out the zero-crossing recognition of the voltage of a fault point at a fault moment; S5, selecting a wavelet transformation algorithm or a bisection SVD algorithm according to the results of step S4; S6, determining a fault section and calculating the speed of the traveling wave and a fault distance according to the header information of the fault traveling wave. The method solves problems that the fault distance cannot be accurately determined under the condition that a fault happens nearby a voltage zero-crossing point when a system independently employs the wavelet transformation algorithm, the data processing efficiency is low and the operational amount is large when the system independently employs the bisection SVD algorithm.

The invention discloses a social network-based fraud group detection method and system. The method comprises the following steps of S1, obtaining test source data through a social graph; S2, testing atested system by the test source data and generating a prediction model; and S3, executing operation through a social network-based fraud group detection technology. According to the social network-based fraud group detection method and system provided by the invention, through the social network-based fraud group detection technology, a user can mine potential group fraud according to a social relationship and predict fraud groups, so that global risk identification capability of a network can be improved and unnecessary risk vulnerabilities are avoided.

The invention provides a read-write distance identification method based on a smart watch. The read-write distance identification method comprises the following steps: constructing a sitting posture identification model; performing detecting to obtain first target data according to an acceleration sensor and a gyroscope sensor in the smart watch, and judging the current read-write state of a target user wearing the smart watch based on the first target data; according to the judgment result, controlling a distance sensing group in the smart watch to perform detecting to obtain second target data, and judging the current read-write distance of the target user corresponding to the current read-write state through the second target data; based on the constructed sitting posture recognition model, recognizing the first target data and the second target data, and determining and recording the current sitting posture of the target user. By obtaining the first target data and the second target data, the read-write distance of the user is determined, and then the current sitting posture of the user is conveniently determined.

A system, method and computer program product for identifying strong links and discovering hidden relationships among entities, including identifying strong links and discovering hidden relationships among entities, wherein the entities include places, time slots, people, groups, and organizations; and identifying the strong links and discovering the hidden relationships based on low-level data streams, and incomplete and noisy evidence data streams.

The invention relates to the field of laser detection, and discloses a laser detection method based on dense pulses. The laser detection method includes steps that a laser emits grouping detection laser pulses to detected targets, wherein the number of the grouping detection laser pulses is larger than or equal to one, and each group of detection laser pulses includes multiple dense pulses; a first photoelectric converter receives echo laser pulses of the detection laser pulses reflected by the detected targets and surrounding environment optical noises, converts the echo laser pulses and the optical noises into corresponding electric signals, wherein the echo laser pulses include information of the detected targets; a signal processor is used for processing the electric signals converted by a detection unit, highlighting the electric signals corresponding to the echo laser pulses according to the time interval among the dense pulses, suppressing electric noises generated by the electric signals corresponding to the optical noises and circuits, and finally acquiring information of the detected target according to the electric signals corresponding to the echo laser pulses. The laser detection method based on the dense pulses can suppress noises, highlight signals, increase signal to noise ratio and reduce the minimum detectable optical power.

The invention discloses a downlink synchronous method, downlink synchronous equipment and a downlink synchronous system applied to long-term evolution. The method comprises the following steps of: acquiring a maximum joint correlation value in SSS symbols corresponding to multiple modes by using a determined grouping detection range of a PSS symbol, determining that the mode corresponding to the maximum joint correlation value is a current mode, determining the PSS symbol by using a timing point of the SSS symbols corresponding to the acquired maximum joint correlation value and the current mode, and acquiring a sector number in the PSS symbol; and performing frequency offset compensation on the PSS symbol and the SSS symbols, then transforming the SSS symbols to a frequency domain, descrambling the SSS symbols according to the sector number, and acquiring LTE frame timing and a cell group number in the SSS symbols. The method saves the overhead of the system and determines the running load of the system by detecting the corresponding SSS symbols in four modes in the grouping detection range of the PSS symbol, determining one mode as the current mode and then performing related detection aiming at the mode.

The invention discloses a sanitary quality locale rapid detection device and a detection method, the device comprises an auto sampling element, a photoelectricity conversion element and a control, operation and storage display circuit element. The method comprises that: the detected parameters are selected, based on an ATP bioluminescence theory, the detected sample and three groups detection reagents of a body cell lysates agent, a bacterial cell lysates agent and a luciferase-luciferase luminescence reagent are added to a sample pool, each reagent is provided with an auto sample adding device connected with the sample pool, the auto sample adding device controls to inject different reagents to the sample pool according to the detection requirement, the sample surface cleanliness condition is gained by measuring the total ATP content, the bacteria quantity in the sample is quantitatively detected by measuring the ATP content in the bacteria cell. Compared with the traditional device, the detection speed of the invention is fast, the detection time is less than 30 minutes, the degree of automation is high, and the maneuverability is good, the invention can be applicable to the locale rapid detection of health quality in the food, cosmetics, medical, environmental, and other fields.

The invention discloses a wireless self-networking group detection based mudslide early warning sensing device, system and method. The system comprises an RTU (remote terminal unit) and multiple mudslide monitoring early warning sensing devices, wherein each mudslide monitoring early warning sensing device is taken as a MESH network node, the RTU has a concentrator for data collection integrated therein, and the RTU is in wireless communication connection with all the mudslide monitoring early warning sensing devices through the concentrator. The wireless self-networking group detection based mudslide early warning sensing device, system and method, based on multiple sensors, cooperatively realize mudslide monitoring early warning and have remarkable social benefits.

The invention discloses a nozzle protective device for a continuous type printing production line and a control method, which can perform early warning on the thickness of the fabric and the foreign matter on the surface and can adopt a corresponding means to protect the nozzle from damage. The nozzle protective device comprises a pedestal, a guiding belt, CMYK four groups of printing units, a beam synchronization elevating system, a three point positioning mechanism, a rack, an A group detection mechanism and a B group detection mechanism. The CMYK four groups of printing units comprise a printing unit C, a printing unit M, a printing unit Y and a printing unit K; the beam synchronization elevating system comprises a left transverse beam, a right transverse beam and a servo motor; the three point positioning mechanism comprises a flat bottom groove, a conical groove, a V-shaped groove, a steel ball seat A, a steel ball B and a steel ball C. The invention can automatically detect the thickness and the abnormal surface of the fabric, effectively guarantees the safety of the nozzle, prolongs the service life the nozzle, avoids the shut-down adjustment and improves the production efficiency.

The invention discloses a method and a system for detecting an elliptical hole group based on a maximum inscribed circle; the method comprises the steps: acquiring image information of a workpeice, performing image pretreatment to the acquired image information, blocking the image information according to the distribution of elliptical holes on the image information and solving the maximum inscribed circle of the elliptical holes in each block of images; calculating the length of a minor semi-axis, the length of a major semi-axis and an inclined angle of the elliptical holes according to the maximum inscribed circle; comparing the length of the minor semi-axis, the length of the major semi-axis and the inclined angle of the elliptical holes with the size of a standard elliptical hole and judging whether the elliptical hole group on the workpiece is qualified. The method of detecting the elliptical hole group combines with a machine vision technology and an elliptical maximum inscribed circle algorithm and overcomes the disadvantages of high cost, large time consumption and low precision in the traditional detection method for the hole group.

An input device (e.g., a stylus) can be configured for use in an augmented/virtual reality environment and can include a housing and a first and second sensor set configured on a surface of the housing. The first and second sensor sets can be controlled by one or more processors that are configured to generate a first function in response to the first sensor set detecting a pressing force on a first region of the housing, and generate a second function in response to the second sensor set detecting a squeezing force on a second region of the housing. A first parameter of the first function may be modulated based on a magnitude of the first pressing force on the first region, and a parameter of the second function may be modulated based on a magnitude of the squeezing force on the second region.

The invention discloses a taxpayer tax evasion suspicion group detection method based on a multi-stage MapReduce model. The method comprises the following steps: firstly, proposing a method of constructing a taxpayer benefit association network based on a color-patch map through multi-network integration; secondly, proposing a reduction method of the taxpayer benefit association network based on strongly connected components; thirdly, introducing a concept of a benefit antecedent network, and finding all maximal weakly-connected sub-graphs in the benefit antecedent network; and lastly, constructing a pattern tree for the maximal weakly-connected sub-graphs and corresponding trade edges thereof through the multi-stage MapReduce model, traversing the pattern tree to generate a pattern library, matching patterns in the pattern library pairwise, finding all pattern pairs conforming to a matching principle, and finally generating all taxpayer evasion suspicion groups. Distributed calculation is adopted in the multi-stage MapReduce model, so that the suspicion tax evasion analysis efficiency of national tax departments can be increased greatly, and the national tax loss is recovered.

This invention relates to a high grouping detection method base on state filter engine belonging to router field of computer network. It features setting high speed grouping detection module based on state filter engine, which can detects at high speed the grouping reaching to router and recognizes the grouping containing malicious codes (worm and virus). Said module stores substring match state by quick search list and prefix register file, the hardware parallel searching filter and prefix register file to obtain high speed detection grouping. Said module can accurately find out the grouping containing malicious codes in router at high speed.

The invention discloses an abnormal mainframe group detection method based on a dynamic graph. The method comprises the steps of collecting flow, extracting a source IP address and a target IP address and converting the same into a graph model; recognizing a mainframe group set for each time snapshoot data set; setting an identification mainframe of each mainframe group, analyzing mainframe group data of adjacent time snapshots, and finding an abnormal mainframe group IP address set according to definition of abnormal events; performing detection according to a rule of the definition of the abnormal events, if abnormity does not belong to the abnormal events, the mainframe group is the sustained mainframe group which is regarded as the normal mainframe group, and otherwise, the mainframe group is regarded as the abnormal mainframe group. According to the method provided by the invention, the problem that mainframe network behaviors are difficult to describe in a formalized manner and high in abnormity detection complexity due to groupment, cooperativity and large-scale interaction behaviors of the mainframe network behaviors is solved, and a topological structure variation, such as the variation of network management configuration and group attack behaviors, of a network connection caused by the above problem can be detected; and real attack cases and the abnormal mainframe groups associated with the attacks can be accurately detected.

The invention discloses a method for detecting boulder groups in subway intervals based on micro-motion detection combined with geological drilling. "The new technology of geophysical exploration obtains natural micro-motion signals, extracts surface wave signals through data processing and analysis methods, and inverts to obtain underground shear wave velocity structure to explore geological structures and determine the distribution range of boulder groups. Then the geological drilling is carried out through hole layout, and the size and spatial distribution of the boulders in the interval are obtained by drilling cores. The invention can realize the determination of the boulder group area and the size and spatial distribution position of each boulder body, and is suitable for boulder detection within the tunnel excavation range of the shield tunneling method.

A group detection arrangement for a multiple antenna receiver structure usable with a multiuser multiple access communication channel with fading is herein disclosed. The group detection arrangement uses an optimized channel dependent group partitioning technique.

The invention discloses a water supply pipe network abnormal event detection method based on VARX (a Vector Auto-Regressive with eXogenous variables) models. The method comprises following steps of grouping detection points; determining input samples; building the VARX models according to subgroups; predicting pressures; calculating differences; calculating the average value of the differences and a standard difference; and detecting abnormal events according to abnormal event judging rules. The water supply pipe network abnormal event detection method based on the models adopts difference analysis and has the advantages of high anti-interference performance and high detection capability.

The invention relates to a semiconductor defect signal grasping and counting system and method. The system comprises an on-line monitoring device, a defect signal analysis device, a defect information base and a defect information counting device, wherein the defect signal analysis device comprises a defect signal analysis unit, a defect signal grasping unit and a defect information queue; and the defect signal grasping unit comprises a sequential detection subunit, an iterative detection subunit, a grouping detection subunit, an overlap detection subunit and an undefined signal detection subunit. Since a non-grasped semiconductor wafer is detected by each subunit of the defect signal grasping unit in the method provided by the invention, the matching probability in a semiconductor wafer defect mode is improved, misstatement and omission are reduced, the accuracy and the completeness of defect signal grasping are improved, a manual detection method in the prior art can be substantially replaced by the semiconductor defect signal grasping and counting method provided by the invention, and the production cost of semiconductor is reduced.