44results about How to "Does not affect detection performance" patented technology

The invention relates to a sensing data error attack detection method based on random sampling consistency. The existing method needs mass of training data and is large in computation and communication expenditure. A malicious node can be effectively identified by using node location information and the signal propagation characteristic, and the method comprises the following steps: acquiring a target signal by a sensor node, collecting measurement data, and estimating the target state and identifying the malicious node, and finally comparing the target state estimation value with the preset threshold to judge whether the target is existent; the step of identifying the malicious node comprises the following steps: randomly extracting partial measurement data to estimate the target state parameter by mainly using random voting thought, and assessing the model parameter by using all measurement data, thereby finding out the optimal solution with the highest score, and identifying the node not supporting the optimal solution as the malicious node, and isolating the malicious node. The detection method disclosed by the invention is simple in operation and easy to realize; the communication expenditure is reduced since the measurement data only needs to be collected once; the applicable range is large, and the method can be used for detecting the sensing data error attack of different types.

The invention relates to the field of communication and discloses a method for measuring a TD-SCDMA (Time Division-Synchronization Code Division Multiple Access) cell in a GSM (Global System for Mobile Communication) mode and a dual-mode terminal. The method comprises the following steps of judging if the position of the dual-mode terminal is changed relative to the position thereof during carrying out measurement sequencing on each RSSI (Received Signal Strength Indicator) before carrying out measurement sequencing on the RSSIs of TD-SCDMA cell frequency points again according to the preset period; carrying out measurement sequencing on the RSSIs again if the position is changed and completing the measurement of the TD-SCDMA cell through subsequent operations; and forbidding the current measurement sequencing on the RSSIs if the position is not changed. Compared with the prior art which caries out measurement sequencing on the RSSIs of more than nine TD frequency points and subsequent operations at intervals (30s), the invention greatly reduces the power consumption of the dual-mode terminal.

The invention discloses an MIMO (Multiple Input Multiple Output) signal detection method and a detector on the basis of a K-Best algorithm. The method comprises the following steps of: according to an antenna number and a modulation mode which are designated by a user, configuring a detection layer number; acquiring a product of an upper triangular matrix R of a channel transfer matrix H, which is subjected to QR decomposition, and a conjugate transpose matrix of a unitary matrix and a receiving vector y; expanding all constellation points on a p=Mth layer and PC (Fiber Channel) paths on a p=M-1th layer in parallel and generating two groups of candidate paths in an interweaving mode to carry out parallel processing; expanding the candidate paths in a parallel mode as required to find out K survivor paths and K-2 abandon paths on a pth layer; processing the survivor paths on each detection layer to obtain survivor path outputs and carrying out reusing processing on the abandon paths; and carrying out log-likelihood processing on the K survivor paths and the K-2 abandon paths. The invention can solve the problems of low throughput, poor flexibility, poor detection performance, difficulty in implementing a hardware structure and the like.

The invention discloses a tunnel deformation real-time monitoring method based on millimeter-wave radars. The method includes the following steps of firstly, dividing sections, wherein a to-be-monitored section of a tunnel is divided into a section 1, a second 2 and the like until a section N, and each section is provided with a plurality of monitoring fracture surfaces; secondly, arranging radarbeacons, wherein the top of each monitoring fracture surface is provided with one vertical radar beacon, and each horizontal surface is provided with two opposite horizontal radar beacons; thirdly, arranging the radars, wherein the bottom of each section is provided with one vertical radar and meanwhile provided with one horizontal radar or a pair of opposite horizontal radars; and fourthly, conducting monitoring, wherein each vertical radar and each horizontal radar are connected with data collecting and transmitting instruments, the data collecting and transmitting instruments are wirelesslyconnected with a working station, the working station analyzes the radar monitoring data, and therefore the vault vertical displacement and clearance convergence value on each monitoring fracture surface are obtained. By means of the phase interferometry technology of the millimeter-wave radars, the real-time monitoring of settlement and convergence data of each fracture surface can be conveniently and rapidly realized.

The invention discloses cable test specimen clamping device and insulation layer peeling equipment. The cable test specimen clamping device comprises a pair of clamping arms and a clamping driving mechanism, wherein the free end of each clamping arm is provided with a clamping V-shaped block and is used for clamping the outer surface of a cable test specimen; one pair of clamping arms do synchronous movement in the mutual approaching or mutual leaving directions through being driven by the clamping driving mechanism; the centering clamping is realized. The clamping on a cable test specimen canbe conveniently realized through the cable test specimen clamping device; on one hand, the axial line position of the cable test specimen in the clamping process keeps unchanged, so that the operations such as the subsequent insulation layer cutting can be conveniently performed; on the other hand, the clamping device per se can adapt to the cable test specimens of various diameters.

The invention discloses a method for prolonging the life span of a mixing and interconnecting indium welding spot of an infrared focal plane array device, and relates to the technical technology of photoelectric detector manufacturing. Four indium stack piers are added at the four corners of an infrared focal plane detector in a conventional structure to realize the mixing and interconnecting indium welding spot of the infrared focal plane detector in a conventional structure and synchronously be used as a technical scheme for separating the dual functions of mechanical connection and electrical connection, thereby effectively solving the problem that the mixing and interconnecting indium welding spot limits the service life of the infrared focal plane array device because of the circular impact fatigue of cold and hot temperature. The invention has the characteristics of simple and convenient operation and no influence on the detection performance of the device without high temperature treatment.

Disclosed are a method and apparatus for signal detection in an MIMO system. The method comprises: searching layer by layer a tree structure that is equivalent to the signal vector of the MIMO system, wherein when child node expansion is performed on surviving nodes on each layer of the tree structure, the surviving nodes are divided into at least two groups according to the ranking of cumulative metric values, the surviving nodes of the same group have the same number of expanded child nodes, and the number of the expanded child nodes of the surviving nodes in the group with larger cumulative metric values is smaller than the number of expanded child nodes of the surviving nodes in the group with smaller cumulative metric values; outputting a number K of surviving paths reserved after the layer-by-layer search is completed and the surviving nodes corresponding to the number K of surviving paths; and accordingly determining the soft bit result of detection. The operand of tree search is reduced as the number of child nodes expanded on each layer decreases. Since the path on which the surviving nodes with smaller cumulative metric values are located is more likely to be the ultimate surviving path, the technical solution provided in the embodiment of the present invention has no impact on detection performance.

A washer of the invention, a foam detecting sensor of which has a grounding side electrode (35) and a detecting side electrode (36) that are arranged projected to a wind path (31). Each electrode (35, 36) is composed of a cylinder with a large diameter. A front end is circular and in semi-spherical shape. Furthermore, a projection of the electrode (35, 36) is limited to enable the diameter of the electrode (cylinder) to be equal to that of the projection. Pile of a thrum isotropic electrode (35, 36) is reduced, which reduces occurrence of mis-action of the foam detection. An improved washer is further realized. The foam detecting sensor on a recycle wind path of air in a recycle processing groove is composed of velveteen that is hard to adsorb and thrum and so on, which reduces the occurrence of mis-action of the foam detection.

The invention relates to a cascaded multi-scale-based dense face detection method. According to the method, the detectors with various scale ranges are trained respectively, each object detector is cascaded according to a specific scale range to optimize an existing network structure, and the strategy can be carried in a depth model of face detection, has good expansibility, and is more suitable for dense small face detection. The method can be applied to the specific scenes, such as intensive crowd monitoring, classroom people counting, etc., and has very strong application value.

The invention discloses a sidelobe suppression method and system, and relates to the field of radar. The sidelobe suppression method comprises the steps of performing first interception on a target detected by the radar; calculating parameters of a first interception echo; judging whether the target is a sidelobe or not according to the parameters, if so, terminating the interception, otherwise, performing second interception on the target; calculating parameters of a second interception echo; and judging whether the target is a sidelobe or not according to the parameters, if so, terminating the interception, otherwise, tracking the target. According to the sidelobe suppression method provided by the invention, interception is performed on the echo twice, whether the target is a sidelobe or not is judged according to the parameter of the echo, and if so, the tracking is not performed. The echo is judged according to the above method, so that the sidelobe can be effectively suppressed,and the gain of an antenna and the detection performance of the radar are not affected.

The invention discloses a preparation method of a sensor electrode surface anti-biological-pollution coating. The method is characterized by comprising two major steps of synthesizing photosensitive hyaluronic acid and preparing an anti-biological-pollution coating. The prepared photosensitive hyaluronic acid has high hydrophilcity, optical crosslinking performance and good biocompatibility. The synthesis of the photosensitive hyaluronic acid is simple; the raw materials can be easily obtained; the industrial production can be easily realized; through the introduction of photosensitive monomers, on the basis that the coating achieves the self excellent characteristics of the hyaluronic acid, the coating structure can be fixed through ultraviolet light crosslinking. When the photosensitivehyaluronic acid is applied to raw liquid sample detection, a sensor electrode based on modification by the photosensitive hyaluronic acid coating has long-term and efficient anti-biological-pollutioncapability. The light crosslinking technology, the functional coating technology and the biosensing technology are combined; the preparation method can be widely applied to the fields of food safety,biological medicine, environment protection monitoring, life safety and the like.

The invention discloses a preparation method of a flexible pressure sensor with a pressure-sensitive structure, and the method comprises the steps: S1, preparing a silicon wafer substrate, and depositing an insulating dielectric layer or a metal layer on the surface of the silicon wafer substrate, so as to form a masking layer; S2, patterning the masking layer in a photoetching mode to form a pressure-sensitive structure pattern, corroding and etching the silicon wafer substrate, and removing the masking layer on the surface through wet etching; S3, performing hydrophobization treatment on thesurface of the silicon wafer substrate, then filling the groove structure with a pressure-sensitive material, and performing curing; S4, separating the pressure-sensitive material from the silicon wafer substrate, and forming a metal layer on the surface of the pressure-sensitive material to obtain a pressure-sensitive sparse layer; and S5, combining one pressure-sensitive sparse layer / or a plurality of pressure-sensitive sparse layers / or combining at least one pressure-sensitive sparse layer with at least one pressure-sensitive dense layer and then connecting with the sensor electrode to obtain the flexible pressure sensor which has good flexibility and large deformation, the sensitivity is improved by more than two times, and the method can be used in a complex environment without influencing the detection performance.

The invention discloses a peeling method of an insulation layer of a cable sample and a preparation method of the cable sample. The peeling method of the insulation layer of the cable sample comprisesthe steps of: S10, clamping two ends of the cable sample by using a clamping device; S20, applying an acting force to the clamping device along an axial direction of the cable sample so that the clamped cable sample is tight; S30, cutting up at least one part of the insulation layer of the cable sample along the axial direction by using an axial cutting device; S40, cutting up the insulating layer of the cable sample along an radial direction by using a radial cutting device; and S50, peeling off the cut insulation layer, and exposing the cable core. The peeling method of the insulation layerof the cable provided by the invention is capable of automatically and quickly peeling off the insulation layer on the cable sample, thereby improving the production efficiency of the cable sample.

An embodiment of the invention discloses a co-frequency cell detection method and a co-frequency cell detection device. The co-frequency cell detection method comprises the steps of: determining candidate cells through signal detection; selecting a fake cell from the candidate cells according to parameters corresponding to the candidate cells; and regarding the remaining candidate cells in the candidate cells as target cells. According to the co-frequency cell detection method and the co-frequency cell detection device, the fake cell is selected from the candidate cells according to the parameters corresponding to the candidate cells, and the remaining candidate cells in the candidate cells are regarded as the target cells, so that the interference of the fake cell can be eliminated, thereby reducing measurement power consumption without affecting detection performance of weak cells, and improving mobility of terminals.

The invention discloses specimen preparation oriented cable insulation layer stripping equipment which comprises a base, a longitudinal feed device, a clamping device, a radial cutting device, an axial cutting device and a tightening device, wherein the clamping device is used for clamping the end of a cable specimen; the tightening device is used for applying acting force to the clamping device along an axis direction of the cable specimen, so that the clamped cable specimen is tightened; the axial cutting device is used for cutting an insulation layer of the cable specimen by at least one part along the axial direction; the radial cutting device is used for cutting the insulation layer of the cable specimen along a radial direction; and the longitudinal feed device is used for driving the axial cutting device and the radial cutting device to move relative to the base along the axis direction of the cable specimen. According to the cable insulation layer stripping equipment disclosedby the invention, the cable specimen can be clamped and tightened, and the insulation layer of the cable specimen is cut along the axial direction and the radial direction, so that the cut insulationlayer is easily stripped, and the cable core is exposed.

The invention discloses a flexible pressure sensor with a pressure-sensitive structure. The flexible pressure sensor is composed of an upper electrode, a lower electrode and the flexible pressure-sensitive structure located between the upper electrode and the lower electrode. The flexible pressure-sensitive structure comprises at least one pressure-sensitive sparse layer. On the basis of the flexible sensor, the pressure-sensitive sensor structure is obtained by changing the composition mode of the pressure-sensitive structure, changing the main components of the pressure-sensitive material inthe pressure-sensitive structure and sputtering the metal layer on the outer surface of the pressure-sensitive structure, and the performance of the pressure-sensitive sensor structure is greatly improved compared with that of a traditional piezoresistive pressure sensor. The sensitivity is improved by more than two times, and the pressure sensor has good flexibility and large deformation, can beused in a complex environment without affecting the detection performance of the pressure sensor, and is one of the optimal options for improving the sensitivity and the flexibility of the pressure sensor.

The invention provides a SnO2-modified sensor, a preparation method thereof and an application of the SnO2-modified sensor in nitrogen oxide gas-sensitive detection. SnO2 is modified on RGO hydrogel of a 3D structure, a SnO2 / RGOH gas sensitive sensor is prepared through a hydrothermal synthesis method, a micro heater is prepared on the other side of a substrate and used for adjusting the detectiontemperature and humidity, and the SnO2 / RGOH gas sensitive sensor is applied to NO2 gas detection. The method is advantaged in that the method is of low detection limit, high sensitivity, excellent selectivity and interference resistance, sensitivity of the sensor is 4.3 ppm<-1>, and the detection limit is 2.8 ppb; the sensor can use a flexible substrate, so the sensor can maintain high sensitivity and high reliability under the condition of high bending, and high-sensitivity and high-selectivity detection of NO2 can be realized under the condition of normal temperature.

The embodiment of the invention discloses a complex dielectric constant measurement method, a radio frequency device, an integrated circuit and a radio device. An antenna structure for testing the complex permittivity comprises an antenna layer, a dielectric layer and a metal ground layer which are stacked in sequence, a radiation unit which is arranged in the antenna layer; a feeder line which is connected with the radiation unit; a resonance structure which is arranged on the feeder line or close to the feeder line; wherein the radiation unit is used for radiating a radio signal so as to obtain the actually measured resonant frequency of the resonant structure based on the extreme value gain of the radio signal in a preset frequency band range; and obtaining the complex dielectric constant of the dielectric layer based on the actually measured resonant frequency and the extreme value gain. The complex dielectric constant measurement method provided by the embodiment of the invention is simple to operate, visual in effect and relatively high in precision.

The invention provides a preparation method of a 3D flexible tin disulfide / graphene (SnS2 / RGO) gas sensor for nitrogen dioxide detection. According to the invention, SnS2 is modified on the surface ofgraphene of a 3D structure, the SnS2 / RGO heterostructure is modified on the surface of a flexible LCP base material, and the flexible gas sensor capable of detecting nitrogen dioxide in a normal-temperature environment is prepared. The sensor prepared by the invention has excellent performances of high sensitivity, high selectivity and low detection limit, the sensitivity is 6.1 ppm<-1>, the detection limit is 8.7 ppb, and the sensor can be applied to the field of wearable equipment.

The invention relates to a printing method of a biological chip and an application of the biological chip. The printing method comprises steps as follows: a to-be-detected sample and a marker or a to-be-detected sample, a marker and a biological molecule with a quality control function on the to-be-detected sample are fixed on a substrate of the biological chip in a graphic mode, and the biological chip is prepared. According to the biological chip prepared with the method, reactions of the chip cannot be inhibited, and the chip reacts very stably. With the adoption of the biological printing method, the preparation process of the chip is simplified, reaction results of the chip can be judged more quickly and more conveniently, besides, the detection throughput of the chip is increased, and accordingly, probes can be more accurately positioned on the chip.

The invention discloses a nucleic acid composition and kit for detecting drug resistance genes of mycobacterium tuberculosis and a method for detecting drug resistance of mycobacterium tuberculosis, and relates to the technical field of medical detection. According to the invention, a single base extension reaction technology is combined, to-be-detected mutation sites of katG315, rpoB435 and embB306 genes are determined, amplification primers and extension primers of the mutation sites are designed, after PCR amplification, digestion treatment and extension reaction, resin purification and nanoliter sample application are carried out to prepare a sample, mass spectrometry detection is carried out, and finally, site mutation details are determined through comparison. Therefore, the drug resistance of the mycobacterium tuberculosis to isoniazid, rifampicin and ethambutol is judged. The detection result can be widely applied to the fields of clinical examination, disease prevention, epidemic disease screening, import and export inspection and quarantine and the like.

The invention discloses a belt conveyor intelligent carrier roller set with a self-checking function, and belongs to the technical field of intelligent detection. The belt conveyor intelligent carrier roller set can be used for real-time detection of a carrier roller or a carrier roller set of a large belt conveyor. The intelligent carrier roller set comprises a communication roller, a power generation roller, a data processing roller, a carrier roller frame and a power supply and data line, wherein the communication roller, the data processing roller and the power generation roller are all installed on the carrier roller frame and connected to one another through the power supply and data line, the carrier roller state data such as carrier roller temperature, vibration and rotating speed can be collected through sensor modules installed on the carrier rollers, the real-time states of the three carrier rollers are analyzed through the data processing roller, the state information is sent to external equipment through the communication roller, and real-time detection of the carrier rollers is achieved. According to the belt conveyor intelligent carrier roller set, power generation and detection parts are separately arranged on the different carrier rollers of the same carrier roller set, so that on the premise of not influencing the detection performance, the detection cost of the single carrier roller is greatly reduced, the utilization rate of detection resources is increased, and the practical application of the carrier roller self-detection technology is promoted.

The invention relates to a method for dense face detection based on cascaded multi-scale, which trains detectors of various scale ranges respectively, each object detector is aimed at a specific scale range, and then cascades them to optimize the existing The network structure, this strategy can be carried in any deep model of face detection, has good scalability, and is more suitable for dense small face detection. It can be applied to specific scenarios such as dense crowd monitoring and classroom population statistics, and has strong application value.