1411results about How to "Not easy to interfere" patented technology

The invention relates to a kit for measuring the D-Dimer content by adopting a latex immunonephelometry method. The kit comprises a D-Dimer reagent R1, a D-Dimer reagent R2, a D-Dimer diluent and a D-Dimer calibration product, wherein the D-Dimer reagent R1 comprises a buffering solution, a stabilizing agent (1), coagulant and preservative; the D-Dimer reagent R2 comprises mouse anti-human D-Dimer monoclonal antibody latex enhanced particles, a buffering solution, a stabilizing agent (2) and preservative; the D-Dimer diluent comprises a buffering solution and preservative; and the D-Dimer calibration product is prepared by subpacking and freeze-drying a solution comprising a fibrin degradation product D-Dimer, a buffering solution, a stabilizing agent (3), excipient and preservative. The kit has the advantages of simple and rapid operation, accurate quantification, high sensitivity, strong specificity, low detection cost and strong instrument compatibility and is suitable for being popularized and used in various big-scale and small-scale hospitals.

The invention relates to an automatic obstacle avoiding method of a substation inspection robot. Obstacle information around the inspection robot is scanned with laser radar, and the types of obstacles are judged through an infrared temperature sensor; if the obstacles are humans or animals, the inspection robot notify the humans to leave or to dispel the animals, and there is no need to avoid the obstacles; if the obstacles remain on a set path of the inspection robot, the inspection robot executes avoiding; obstacle priorities are divided according to 'time distance' that is time that the inspection robot takes to arrive at the obstacles; the inspection robot keeps to the right according to set driving rules; upon contact with an obstacle, the inspection robot moves along the obstacle clockwise from the left of the obstacle and ends avoiding after arriving at the front of the obstacle; if unable to bypass the obstacle from the left, the inspection robot tries to bypass the obstacle anticlockwise from the right of the obstacle. The method is insusceptible to temperature and visible light, and distance and direction information detection precision is higher.

The invention relates to an artificial-intelligence exercise assisting device. The artificial-intelligence exercise assisting device is mainly used for lower-limb walking assisting and lower-limb rehabilitation training. According to the technical scheme, the artificial-intelligence exercise assisting device comprises a structure supporting system, sensors, sensor circuits, a signal processing system (a mobile calculation platform), a driving executing device, a power system and a walking stick. The artificial-intelligence exercise assisting device has the advantages that the dilemma that movement of the lower limbs of a paralysis patient, a hemiplegic paralysis patient, a fracture patient and an old bone joint retrogressive disease patient is inconvenient is overcome. A user wears an exoskeleton wearing assisting device, human body signals and the assisting device interact with each other and are matched, the human body transmits a control command to the exoskeleton wearing assisting device, exoskeleton detects the human body signals, a proper command is obtained after artificial intelligence calculation, then driving mechanisms provide energy required by movement for the lower limbs of the human body, and the finally the effect that artificial intelligent and mechanical force are supplemented and interacted is achieved. According to the artificial-intelligence exercise assisting device, the human body control signals and the artificial intelligence of a machine are fused, the balance of the gravity center of the human body is controlled, and mild control over the exoskeleton assisting device is obtained.

The invention relates to a human face detection and tracking method based on a Gaussian skin color model and feature analysis. The method comprises the following steps of: firstly, conducting statistics to a large quantity of human face image data and constructing a Gaussian skin color model in a YCbCr color space; then, shifting a video image sequence to the YCbCr space from an RGB (Red, Green and Blue) space, working out a skin color likelihood graph by using the Gaussian model, selecting adaptive threshold values to conduct skin color segmentation and using the geometric features and the structural features of human faces on the basis to realize accurate human face detection; and finally, adopting an improved CAMShift algorithm to track the human faces to realize the rapid detection ofthe human faces in a video. The human face detection and tracking method provided by the invention has obvious advantages in aspects of recognition accuracy, tracking speed and robustness, and can effectively solve the problem in the human face tracking under complex conditions such as the posture change and distance change of the human faces in the video, the likely skin color interference existing in a background and the like.

The invention relates to a wireless sensor network node positioning method based on a received signal strength indicator (RSSI). The precision of the traditional method is not high, and the traditional method is easily disturbed by environment. In the method, an effective RSSI value is selected by using a Gaussian distribution function model in the aspect of reading RSSI value, so that small probability events during RSSI measurement are removed to a certain extent, and the precision of RSSI value between nodes is improved; and the coordinates of an unknown node are obtained by a triangular positioning method, and the unknown node is circularly refined via the distribution probability model of the unknown node, so that a point with the maximum distribution probability is found and is used as the final positioning coordinate. In the method, the signal intensity and distance information between anchor nodes are introduced and are used as the reference; the unknown node coordinate is found out via the distribution probability model of the unknown node; the distance measurement precision and the positioning precision between the unknown node and the anchor node are improved; and the method is not easily disturbed by environment.

The three-freedom redundant parallel mechanism with two rotations and one translation may be used as parallel machine tool structure. The parallel mechanism consists of static platform, dynamic platform and four single-freedom branches. Of the four single-freedom branches, three have their ends connected via ball joint to the dynamic platform and the platform, and the other has two ends connected two the two platforms separately via rotation pair. The mechanism has four input motions, three output motions, dynamic platform capable of realizing 2D translation and 1D rotation, and no unexpected output motion. The redundant driving can raise the precision and rigidity of the parallel mechanism, eliminate mechanism fantasticism, expand the posture space and improve mechanism performance. The mechanism has the advantages of simple structure, easy control, etc. and is suitable for use as the main structure of parallel machine tool with high precision and great posture angle.

The invention discloses a branch three-leg five-DOF (degree of freedom) parallel mechanism containing a double-compound drive. The branch three-leg five-DOF parallel mechanism comprises an engine base, a movable platform and a single-drive branched chain for connecting the engine base and the movable platform and two compound drive branched chains with the same structure, both ends of each of three branched chains are symmetrically distributed in a regular triangle shape, wherein the single-drive branched chain is composed of two universal pairs and a drive translation pair to form a UPU-type series structure branched chain. Each compound drive branched chain is composed of two revolute pairs, a drive translation pair and a spherical hinge to form an RRPS-type compound drive series structure branched chain, and axial lines of two revolute pairs are vertical to each other to form a universal pair, wherein one revolute pair is connected with the engine base and coaxially connected with a drive motor, and the spherical hinge is connected with the movable platform. The branch three-leg five-DOF parallel mechanism is strong in bearing capacity, good in stability, large in working space, high in flexibility, simple in structure, less in movable branched chain, hard to interference, free from automatic jogging, high in precision, close to a frame in drive and easy to control.

The invention provides an intelligent automatic following method based on a visual sensor. The method comprises the steps that the visual sensor collects the environment information of a suitcase relative to the owner of the suitcase, and sends the environment information to a data processing module; the data processing module identifies the suitcase owner to acquire the coordinate position of the suitcase relative to the owner of the suitcase; the data processing module sends an instruction to a drive module to drive the motor of left and right rear wheels of the suitcase to run; the suitcase and the suitcase owner are kept in a set range through a PID controller; and a main controller enables the suitcase and the suitcase owner to keep synchronization by predicting the next step of the suitcase owner. The invention further discloses a system and the suitcase, wherein the system and the suitcase use the method. According to the invention, the position of an obstacle is determined by directly using depth information acquired by the visual sensor to avoid the obstacle; the method has the advantages of high recognition accuracy and good obstacle avoiding effect, and is less susceptible to an external environment; and especially a variety of obstacle avoiding ways such as ultrasonic are combined to further improve the recognition accuracy and obstacle avoiding effect.

The invention discloses a 3D (three-dimensional) NAND memory and a manufacturing method of the 3D NAND memory. The 3D NAND memory comprises multiple layers of storage arrays and multiple layers of control grid circuits, wherein each layer of the control grid circuit is electrically connected to the same layer of the storage array, so that selection of each layer of the storage array is realized; each layer of the control grid circuit is obtained by cascading a same number of transistors; grids of all the transistors of the control grid circuits are electrically connected to control wires; the number of the control wires is as the same as that of the transistors comprised in each layer of the control grid circuit; the grids of different transistors positioned on the same layer of the control grid circuit are electrically connected to different control wires. According to the 3D NAND memory, a small number of input control wires SSL select a large number of control grid layers through the control grid circuits, so that the area and the volume of the whole memory cannot be enlarged due to the increase of the number of the required layers of control grids when the storage capacity of the memory is improved due to the increase of the number of storage unit layers.

The invention discloses an ultrasonic ranging method, belonging to the technical field of electronic measurements. The ultrasonic ranging method comprises the following steps that: an ultrasonic transmitter and a pulse laser are located at a transmitting end, the transmitting end receives a measuring command, subsequently, the pulse laser triggers a beam of pulse laser and the ultrasonic transmitter triggers an ultrasonic wave at the same time, and phase locking is carried out on the triggered ultrasonic wave and an external clock source; an ultrasonic receiver and a photodiode are located at a receiving end, after the photodiode receives the pulse laser, a timer is started, after the ultrasonic receiver acquires the received ultrasonic wave, the timer is stopped to acquire transition time; the transition time multiplies by a revised sound velocity to acquire a rough measurement value of a measured distance; and a phase difference is obtained, a fine measurement part is lambda delta omega / 2phi, and an actually measured distance d' is acquired, wherein d'=Nlambda+lambda delta omega / 2phi. The ultrasonic ranging method has the advantages that the receiver is easily interfered by the transmitter, a measurement blind zone is greatly reduced, the ultrasonic distance measuring directivity is improved, the distance measuring precision is improved within one ultrasonic wavelength; and the ultrasonic ranging method is particularly suitable for distance measurement in a single station type space orientation and measurement system.

The invention relates to a device and method for testing software cheating of an electronic price computing scale. A programmable-control multi-circuit relay is used in a key simulator in the device for achieving the key function; a calibrator is used in a weighing simulator for simulating the weighing sensor function; the output of a nixie tube is captured, wherein a machine vision system is used for capturing the output of the nixie tube. The machine vision system comprises a hardware interface and a software character recognition algorithm. The simulators and an output capturing device are connected with an Ethernet port and an upper computer through serial ports so as to achieve interaction with an upper computer simulation system, and therefore all the functions of the electronic price computing scale are transferred onto the upper computer. The upper computer simulation system automatically generates a random test case to test the software cheating function and stores a test result. The device and method for testing software cheating of the electronic price computing scale can test the software cheating function of common electronic price computing scales in the current market, the whole test process is finished by the computer simulation system, the automation degree is high, the test efficiency is high, and the test time is short.

The invention relates to an elevator operation and maintenance monitoring method based on an intelligent visual light curtain. The method comprises the following steps that a camera and a processor are mounted in each elevator lift car, wherein the camera and the processor conduct communication transmission through a data line, and the camera is mounted in the middle above a door frame of an elevator door; each camera acquires video images in real time and transmits the images to the corresponding processor; each processor achieves full field-of-view automatic visual analysis for the area space of the corresponding elevator lift car door through an intelligent visual algorithm, and elevator faults are discovered and treated in time; and analysis and treatment results are gathered to obtain elevator operation and maintenance data which are transmitted to an elevator operation and maintenance monitoring center. Omnibearing monitoring is achieved by adoption of the elevator intelligent visual light curtain, dead zones do not exist, and the shortcomings that an infrared light curtain cannot discover small objects or is insensitive in distinguishing of the small objects are fundamentally overcome; and the monitoring range is expanded, opening and closing of the elevator door are better controlled, namely the delay door closing function is achieved, and equipment does not move along with opening and closing of the elevator door and is not prone to being intervened by external force.

The invention provides a scenic region tourist flow real-time statistics and tourist flow over-limit automatic early warning system and method. The method comprises the following steps that: an intelligent terminal receives scenic region and scenic spot identification code information broadcast by a Bluetooth base station through APP software, records time stamp information, and generates touring space-time data of tourists at the same time; a cloud server receives the touring space-time data of the tourists transmitted by the intelligent terminal, and stores and processes the received touring space-time data to obtain real-time tourist flow data of a scenic region and scenic spots and automatically generate early warning information; and the intelligent terminal can inquire real-time tourist flow of the scenic spots in the scenic region from the cloud server through wireless Internet, and automatically receives the early warning information when the tourist flow in the scenic spots exceeds a limit. Through adoption of the system and the method, a scenic region tourist flow real-time statistics and tourist flow over-limit automatic early warning function is realized, and an early warning about the tourists in a certain scenic spot in the scenic region can be given. The system and the method have the advantages of high management accuracy and relatively low cost.

The invention discloses a vehicle locating method based on matching of road surface image characteristics. The vehicle locating method based on the matching of the road surface image characteristics comprises the steps of determining geographical coordinates of an initial position of a vehicle, shooting road surface images in real time in the traveling process of the vehicle, carrying out dogging processing on two shot current continuous frames of the road surface images in sequence, carrying out matching on the two continuous frames of the road surface images processed through the dogging in real time to obtain matching dot pairs of the two continuous frames of the road surface images, carrying out vehicle location on the vehicle according to the obtained matching dot pairs, judging whether the current two frames of the images are the last two frames or not, ending the process if the current two frames of the images are the last two frames, and otherwise repeating the steps. According to the vehicle locating method based on the matching of the road surface image characteristics, the road surface images only need to be collected in real time in the traveling process of the vehicle, and matching is carried out on the two continuous frames of the road surface images so that automatic vehicle location can be achieved; the method is not prone to interference, high in location precision and capable of saving time and labor due to the fact that the time-consuming and labor-consuming link of collecting all-dimensional street scenes in advance in an existing locating method is saved.

The invention belongs to the technical field of pressure sensors, particularly relates to a high-temperature pressure sensor and a production method thereof and solves the problem that the existing pressure sensor fails to operate normally in environments of high temperature, moistness and the like due to the insufficiently reasonable design. The high-temperature pressure sensor comprises four layers. A planar square spiral inductor and a capacitor upper electrode are made on the first layer by pasting; a sealed pressure cavity is arranged on the second layer; a capacitor electrode is made on the fourth layer by pasting and is connected with an inner circular core of the top planar square spiral inductor. The production method includes filling the pressure cavity with carbon paste; subjecting the laminated structure to high-temperature sintering to volatilize carbon from air holes so as to form a complete cavity; and after sintering, placing glass beads at the air holes to allow for secondary sintering sealing. The high-temperature pressure sensor is capable of operating at normal temperature and high temperature more than 400 DEG C, and is simple in structure, small in size, simple in manufacture process and easy for industrial production.

The invention provides a social network site false fan detection method achieved on the basis of a network crawler by means of machine learning. The method comprises the steps that data of microblog or other social network users is automatically acquired through the web crawler, and a simulation login function is achieved; characteristic fields are selected from the data extracted by the web crawler, and a training sample and a test sample are obtained; a classical SVM algorithm classifier is adopted, multiple groups of data are extracted from the training sample randomly and guided into the classifier, and the classifier conducts machine learning to form a training classification model; the classification model is tested through the test sample, and the optimal cross validation precision is achieved by continuously adjusting setting parameters of the classification model; the microblog or other social network users are detected through the optimal classification model. Accordingly, the false fan detection precision is greatly improved, the computing amount is low, the processing speed is high, the data is not likely to be interfered in the computing process, and the method is particularly suitable for mass data processing.

The invention relates to a photovoltaic system DC side arc fault detection system and a detection method thereof. According to the invention, a sampling inductor is connected in series on a circuit from the output of a combiner box to an inverter, a capacitor is connected in series with a primary side winding of a current transformer and then connected in parallel with two ends of the sampling inductor, a secondary side winding of the current transformer collects a characteristic alternating current signal of the DC side arc and sends the characteristic alternating current signal to a filtering and amplification circuit, and a current signal outputted and processed by the filtering and amplification circuit is sent to a digital signal processor for judgment, and then a judgment result is outputted and then transmitted through a communication module. The detection method comprises the steps of collecting an alternating current signal at the DC side of the photovoltaic system, and extracting signal characteristics in the frequency domain; pre-judging the signal; training a GAN (Generative Adversarial Network) model; and judging a DC fault arc and sending alarm information. In order to reduce the false detection rate and improve the robustness of the detection system, the generative adversarial network is introduced into the judgment of the fault arc. The false detection rate of the DC fault arc can be reduced, the detection rate is improved, and the safe and stable operation of the photovoltaic system at the DC side is ensured.

The invention is applicable to the field of parking lot management and provides a parking lot guide system and method based on the ultra-wideband wireless positioning technology. The parking lot guide system comprises an electronic license plate, at least three base stations and a parking space guide server, wherein the electronic license plate is attached to a vehicle and transmits ultra-wideband pulse signals; the at least three base stations are arranged inside a parking slot, synchronously connected with one another and used for receiving the ultra-wideband pulse signals and uploading the time when the ultra-wideband pulse signals are received; the parking space guide server is used for, according to a positioning algorithm and the times uploaded by every base station when the ultra-wideband pulse signals are received, generating the real-time coordinate of the electronic license plate and calling the attachment position and the model parameters of the vehicle to obtain the position coordinate of the vehicle, and according to the model parameters of the vehicle, the position coordinate of the vehicle and the parking space line coordinate of an unoccupied parking space, guiding the vehicle into the unoccupied parking space. According to the parking lot guide system and method based on the ultra-wideband wireless positioning technology, the base stations and the electronic license plates transfer signals through the ultra-wideband wireless communication technology, so that the electronic license plate moving at a high speed can be positioned at a high precision.

The invention discloses an air radio monitoring system based on ground remote control of a multi-rotor robot. The air radio monitoring system comprises the multi-rotor robot, a flight control unit, a directional antenna, an electronic compass, a radio monitoring reception unit, a central processing unit, a ground remote control unit and a ground control unit. The directional antenna, the electronic compass, the radio monitoring reception unit, the flight control unit and the central processing unit are all mounted on the multi-rotor robot. The central processing unit is connected with the radio monitoring reception unit and the electronic compass. The directional antenna is connected with the radio monitoring reception unit. The flight control unit is connected with the ground remote control unit. The ground remote control unit is connected with the central processing unit. The air radio monitoring system provided by the invention is low in manufacturing cost, low in flight cost, simple in structure, convenient to operate and high in safety, can control various flight attitudes of the multi-rotor robot through ground control, and can complete the radio monitoring task in the air.

A control system includes a transfer. The transfer is disposed in a power transmission path between the driving power source and primary driving wheels and distributes dynamic power of the driving power source to the secondary drive wheels. A driving power transmission shaft transmits the dynamic power of the driving power source distributed by the transfer to the secondary drive wheels. A clutch mechanism is disposed in a power transmission path between the transfer and the driving power transmission shaft. A electronic control unit engages at least one of a first and second clutches and then engages the clutch mechanism on the basis of a steering state at the time of switching from a two-wheel-drive traveling state in which the clutch mechanism and the first and second clutches are disengaged to a four-wheel-drive traveling state in which the clutch mechanism and the first and second clutches are engaged.

The embodiment of the invention provides an indoor positioning terminal, network, system and method. The indoor positioning terminal comprises a storage, a camera and a controlling / positioning operation module, wherein the camera is used for capturing an image of indoor lighting devices with low exposure; the storage is used for storing data of an indoor positioning map, the data of the indoor positioning map comprise three-dimensional data information of the indoor electronic map and the indoor lighting devices, and the indoor electronic map and the indoor lighting devices share the same reference system; the controlling / positioning operation module is used for relatively matching the three-dimensional data of the indoor lighting devices with the captured image of the indoor lighting devices, and positioning the position, on the indoor electronic map, of the positioning terminal when the image is captured. According to the indoor positioning scheme, the indoor positioning terminal, network, system and method are suitable for indoor positioning of huge buildings, high in positioning accuracy, not prone to being disturbed, and capable of improving applicability of the technical scheme.

The invention relates to a dynamic brain function detection method and system based on a near infrared spectrum and blood pressure information. The method comprises the steps that 1, near infrared spectrum detection equipment is used for collecting a brain blood oxygen signal of a testee, and meanwhile blood pressure equipment is used for collecting arterial blood pressure of the testee; 2, a brain blood oxygen signal and the blood pressure signal collected in the step 1 are input into a wavelet coherence analysis module, the wavelet coherence analysis method is used for performing time frequency analysis on the blood pressure signal and the brain blood oxygen signal of each channel, a pair of near infrared transmitter and an absorption sensor form a channel, and different physiological source rates correspond to different feature frequency sections; 3, according to the time frequency analysis in the step 2, a wavelet coherence coefficient of each feature frequency section is obtained, and the wavelet coherence coefficient shows consistency of the blood oxygen signal and the blood pressure inside the feature frequency section. By means of brain blood oxygen and arterial pressure physiological signals, on the basis of wavelet coherence or wavelet phase coherence or effect connection analysis, the noninvasive dynamic brain function is easily evaluated.

The invention discloses a yarn breakage detection method applied to a ring throstle and a yarn breakage detection device using the method. The yarn breakage detection method is characterized in that a microcontroller controls a voice sensor to acquire a voice signal at the outer side of a steel collar during spinning; if the detected voice signal always has pretty high wave peaks at every moment when a bead ring approaches to the voice sensor relative to the moment when the bead ring is pretty far away from the voice senor and the wave peak occurrence frequency is slightly lower than a spindle rotation frequency, the yarn at the spinner position has no breakage, otherwise, the yarn at the spinner position has breakage; preferably, the voice sensor is at the position on the same horizontal plane as or slightly higher than the steel collar in a vertical height direction; and the minimal distance in the level direction from the voice sensor to the axis in the vertical direction of the steel collar is greater than the maximal outer diameter of a movement locus of the bead ring and a movement locus of a yarn ballooning. The yarn breakage detection device disclosed by the invention is designed according to the yarn breakage detection method disclosed by the invention.

The invention discloses a method for exactly characterizing and evaluating sweet aroma characteristics in cigarette aroma. Aroma substance quantitative data are acquired through an HS-GC-MS / MS detecting method, and a cigarette sweet aroma note index T is obtained by calculating and establishing a threshold value of a corresponding aroma substance. The method is easy and convenient to operate, not easily disturbed by impurities, and accurate in detecting results. The selectivity and the sensitivity of GC-MS / MS are higher than those of GC-MS; the problems that the sensitivity of the GC-MS is low, the resolution is insufficient, the selectivity is low, false positive results are easily generated, and enough qualitative / quantitative information cannot be given and the like are avoided. According to the method, the sweet aroma characteristics of a cigarette are described and expressed correspondingly from the perspective of material basis; the subjectivity of sensory evaluation is avoided; the sweet aroma style of a cigarette product is characterized and evaluated objectively and comprehensively.

The invention belongs to the technical field of detection, in particular to a method for real-time detection of weld seam targets. The method comprises the following steps: building a training sampleset: welding seam images of different shapes are collected as source samples and the source samples are pretreated to form a training sample; training detector offline: the neural network is trained under different initial conditions by using the training samples, and the optimal neural network model is obtained by multiple training as a welding seam detector; performing on-line detection: a detection image is acquired, a weld detection is performed by using the weld detector and a detection result is output. The invention overcomes the problem of poor robustness of positioning the weld seam through the morphological method, realizes the accurate positioning of the weld seam of different shapes, classifies the weld seam of different kinds accurately, and has high positioning precision by adopting the weld seam detector obtained through the weld seam image training based on the line laser imaging for the different weld seams.

The invention discloses a large building deformation monitoring device and a monitoring method through the large building deformation monitoring device. A laser transmitter of the large building deformation monitoring device is composed of a laser controller, a laser power supply and a laser collimator, wherein the laser controller is connected with the laser power supply, and the laser power supply is connected with the laser collimator. A laser receiver is composed of a semi-permeable laser target, a light shield, an image sensor, and an attitude sensor, wherein the semi-permeable laser target is connected with the light shield, the light shield is connected with the image sensor, and the image sensor, the attitude sensor and a wireless transmitter are respectively connected with a microprocessor, and therefore the large building deformation monitoring device is formed. The method monitoring method through the large building deformation monitoring device includes that the laser transmitter is mounted at a reference position which is close to an object to be tested and is relatively fixed; the laser receiver is mounted at a point to be tested on a deformation surface; and the linear displacement, perpendicular to the deformation surface, of the laser receiver is the deformation value of the point. According to the large building deformation monitoring device, laser is utilized for testing deformation, and therefore the large building deformation monitoring device is convenient to install and test, high in accuracy, and suitable for long-time on-line monitoring of the deformation of large buildings.

The invention provides a method for quantitatively evaluating the symptoms of tremor of a patient with Parkinson's disease according to the approximate entropy and the cross approximate entropy, belonging to the fields of health care and pattern recognition. The method is characterized by comprising the following steps of: collecting the data of specified tremor of the thumb, collecting the data of specified tremor of the index finger, and grading the specified tremor of the thumb and the specified tremor of the index finger according to a UPDRS (unified Parkinson's disease rating scale); preprocessing the data of tremor; separating a sample training set from a sample testing sample; calculating the approximate entropy and the cross approximate entropy of the data of tremor; constructing the model of a classifier, and verifying the effectiveness of a method. The regularity and the synchronization of the tremor of the patient with Parkinson's disease are disclosed effectively according to the approximate entropy and the cross approximate entropy, and the symptoms of tremor can be accurately and quantitatively classified according to the tremor amplitude, the tremor frequency and other characteristics of the patient. The method is used for objectively evaluating the symptoms of tremor of the patient with Parkinson's disease, and can be applied to the fields of treatment and rehabilitation assessment of the patient with Parkinson's disease and the like.

The invention discloses a dynamic rod carving method utilizing a power measuring range detector and taking a signal as a signal source. The dynamic rod carving method comprises the following steps: by using an existing signal terminal in a main control room of a power plant, recording a sum signal of current of all detectors of one channel of an out-reactor power measuring range which is continuously changed along the position of a control rod in a whole-group reactor core inserting process of a certain control rod group; inputting the signal into a reactivity instrument; and after revising static and dynamic revising factors, obtaining a measurement value of reactivity so as to finish rod carving. With the adoption of the dynamic rod carving method, an existing out-reactor nuclear measurement system of a nuclear power plant does not need to be subjected to any hardware modification and the rod carving can be finished without changing a power supply manner of the nuclear measurement system in a testing process.

The invention relates to an optic travelling wave cavity enhanced laser raman gas concentration detection device. The device combines a cavity enhanced technology with a laser raman detection technology, and utilizes an optic traveling wave passive cavity; a single curved-surface annular internal reflector forms a high-fineness cavity, and a laser outgoing beam oblique incidence cavity enhanced principle is utilized, so that laser beam is reflected in the cavity for many times and is propagated in a travelling wave manner, the laser beam passes through gas to be detected in an area to generate raman scattering, raman scattered light is collected by a photoelectric detection component after being gathered with the laser beam through a filter plate, and the photoelectric detection component detects the raman frequency shift and the corresponding raman peak intensity of the characteristics of the gas to be detected to obtain the concentration of the gas to be detected. The detection device disclosed by the invention has the characteristics of simple structure, low requirements on mechanical location, good stability and high reliability; meanwhile, the anti-jamming performance of the detection device is improved; the detection device can measure on line in real time to increase the dynamic information of the process and can detect the concentration of nearly all gas, except inert gas; the sensitivity is high; the response speed is high and the response time is short.

An apparatus for processing and observing a sample has a sample stage for supporting a sample at a preselected location thereof, a focused ion beam irradiation system for irradiating the sample with a focused ion beam along an optical axis to cut out a portion from the sample, and a side entry stage disposed over the sample stage and extending slantingly with respect to the optical axis of the focused ion beam irradiated by the focused ion beam irradiation system. The side entry stage has a microscope sample holder for picking up the cut-out sample portion directly from the preselected location of the sample and for supporting the sample portion. The microscope sample holder is configured to be removed from the side entry stage while supporting the sample portion and to be connected to an entry stage of a microscope device for observing the sample portion.