422 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 navigational control system for altering movement activity of a robotic device operating in a defined working area, comprising a transmitting subsystem integrated in combination with the robotic device, the transmitting subsystem comprising means for emitting a number of directed beams, each directed beam having a predetermined emission pattern, and a receiving subsystem functioning as a base station that includes a navigation control algorithm that defines a predetermined triggering event for the navigational control system and a set of detection units positioned within the defined working area in a known spaced-apart relationship, the set of detection units being configured and operative to detect one or more of the directed beams emitted by the transmitting system; and wherein the receiving subsystem is configured and operative to process the one or more detected directed beams under the control of the navigational control algorithm to determine whether the predetermined triggering event has occurred, and, if the predetermined triggering event has occurred transmit a control signal to the robotic device, wherein reception of the control signal by the robotic device causes the robotic device to implement a prescribed conduct that alters the movement activity of the robotic 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 present invention provides improvement of operations providing annotation and layout for an HTML page file. In an example embodiment, a page acquisition module obtains page files from a web server, and an HTML file analysis module extracts tags and characteristic values related to the layout. A page group detection module employs layout tags and their characteristic values to group page files that have the same or a similar layout. When an annotation addition module adds an annotation to an arbitrary page file in the obtained layout group, the annotation is applied for another page file in the layout group. When the layout group is divided or layout groups are unified, a correction module for the function of distance calculation corrects a calculation expression for a distance between pages or layout groups in order to reflect the division or unification results obtained by the user.

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.

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.

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.

Provided are a cell search method, a forward link frame transmission method, an apparatus using the methods, and a forward link frame structure. The cell search apparatus includes a sync acquirer acquiring synchronization of sync channel symbols using a sync channel of a forward link, and a group detector detecting at least one hopping codeword element belonging to a hopping codeword of a target cell from a forward link signal containing sync channel symbols sequence-hopped using a hopping codeword corresponding to a code group to which a scrambling code of each cell belongs based on the acquired synchronization, and detecting a code group of the target cell based on the detected hopping codeword element, wherein the hopping codewords are orthogonal to a cyclic shift operation. Accordingly, a cell search time and the complexity of the cell search can be reduced.

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 provides a dynamic high-risk customer-group detection algorithm. The algorithm is used for detecting risk degrees of new users belonging to different customer groups, and includes the following steps: i, using a clustering algorithm to build the groups for multiple historical users on the basis of multiple pieces of historical data of the multiple historical users to form the multiple customer groups, wherein the clustering algorithm is related to types of the historical data; a, determining risk degrees of all the customer groups on the basis of an evaluation index, and determining that the customer groups of which the risk degrees are greater than a risk threshold value are high-risk customer groups; and b, determining similarity degrees between the new users and the high-risk customer groups on the basis of a distance function, and determining that the new users of which the similarity degrees are greater than a first similarity degree threshold value are risk users, wherein the distance function is related to types of user data of the new users. The method has the advantages that the method is simple to operate, and convenient to use. The invention provides the dynamic risk customer-group detection algorithm and a corresponding system, which have extremely high commercial values.

The invention discloses a sealing property detection device with a four-station loading rotary table. The sealing property detection device comprises a mounting-dismounting mechanical arm, the four-station loading rotary table and multiple groups of detection mechanisms, wherein the four-station loading rotary table and the detection mechanisms are arranged beside the mounting-dismounting mechanical arm; the mounting-dismounting mechanical arm can rotate around an axis Z, and the four-station loading rotary table and the detection mechanisms are distributed on a rotation track of the mounting-dismounting mechanical arm in a surrounding manner. According to the sealing property detection device, after a to-be-detected part is subjected to film lamination and is closed, a to-be-detected product is pressed downwards so as to seal a cavity or a through hole from top to bottom, is aerated or exhausted and is then subjected to the sealing property detection, so that the precision of the sealing property detection is increased, meanwhile, the success rate of the sealing property detection can be increased, and a missing detection or false detection phenomenon is avoided; and besides, a linear loading transfer manner is replaced with a rotary loading transfer manner, so that the loading transfer efficiency is greatly improved, the occupied space of equipment is reduced, and the detection efficiency is greatly improved.

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.

A method and a device for people group detection, relating to the field of image processing includes acquiring at least one corner and foreground region in video data; computing, according to said corner and foreground region, to obtain at least one cluster; constructing at least one region of people group according to said cluster. The device includes an acquisition module, a clustering module, and a construction module. Automatic people group detection is realized that is independent of the location detection of people and can be applied to any scene including complicated ones, and thus user demands can be better satisfied.

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.