60results about How to "Facilitate analysis work" patented technology

The invention provides an FPGA simulation system for modulating a hippocampus network rhythm through weak electromagnetic stimulation. The simulation system comprises an FPGA-based hardware circuit, a random waveform generator, an analog-digital converter and a man-machine operation interface, a neuron model and a control module adopt a Verilog HDL for compiling and are compiled and downloaded to an FPGA, a synaptic current calculation module, a carbachol equivalent current calculation module, an external electric field equivalent current calculation module and a local field potential calculation module adopt the DSP Builder programming for implementation, and an upper computer operation interface adopts the LabVIEW programming for implementation and is in communication with the FPGA. The system has the advantages of being used as a non-animal testing and high-speed-computation-based FPGA neural network testing platform of the biological neural network to achieve hardware modeling of the hippocampus CA3 area, and being coincident with a real biological neural network on the time scale.

The invention provides an FPGA based under-electric-stimulation neuron random response and resonance experiment platform. An FPGA development board of the experiment platform comprises an FPGA chip I, an FPGA chip II, an FPGA chip III, an FPGA chip IV, a USB interface module and an SDRAM storage module. The FPGA chip II, the FPGA chip III and the FPGA chip IV receive stimulation signals output by the FPGA chip I respectively. Digital signals generated by the FPGA chip II, the FPGA chip III and the FPGA chip IV are input in the FPGA chip I to be calculated. Signals output by the FPGA chip I are input in the USB interface module to perform data communication with an upper computer, and the calculated signals are input in the SDRAM storage module to be subjected to data storage. The experiment platform has the advantages that the platform is used as the biological neural network non-animal experiment and high-speed computation FPGA neural network experiment platform, phenomenon and physiological neuron model hardware building is achieved, and the neuron model can be consistent with a real biological neuron on the time scale.

The invention provides an epilepsy state closed-loop control experiment platform based on an FPGA. The FPGA serves as a lower computer of the experiment platform, and discharging waveform observation and parameter setting are carried out with the help of an upper computer interface compiled through VB. An epilepsy nerve cluster mathematic model is achieved through the FPGA, discharge mode control of an epilepsy nerve cluster network is achieved by means of closed-loop feedback control, and an upper computer is used for conducting parameter adjustment and discharging waveform observation. The method has the advantages that modeling for a complicated epilepsy neuron network is achieved through the experiment platform serving as non-animal experimenting of a biological neural network and based on the high-speed calculation FPGA neuron network, and the time scale is consistent with that of real biological neurons. The visualization research platform more close to a real neural network is provided for researching a discharge mechanism of neuron clusters of the epileptic disease, epilepsy nerve cluster network closed-loop control under the action of an electric field and the like, and has great practical value for epileptic disease treatment research.

The invention discloses a method for quantitative analysis of comprehensive testing coverage of system structures, functions and performance, comprising the following steps: 1, establishing parameters of the structure, functions, performance of the system and testing basic information; 2, establishing direct incidence relation;3, quantitatively calculating testing coverage; and 4, analyzing defects of testing design. The invention realizes quantitative analysis of testing coverage and obtains the tested coverage rate of the performance parameter, functional coverage rate and structural coverage rate by establishing the system structure, functions, performance parameters, testing integration and each direct incidence relation integration among the structure, the functions and the performance parameters and the test.

The invention discloses a composite etchant used for 409L ferritic stainless steel and a using method of the composite etchant. The etchant comprises: an etchant (1): the weight ratio of the etchant (1) is: the weight ratio of trinitrophenol is in the range of 4.4% to 4.7%; the weight ratio of aqueous hydrochloric acid solution with a concentration of 37% is in the range of 5.2% to 14.9%; the weight ratio of benzalkonium chloride is in the range of 1.0% to 6.0%; and the weight ratio of ethanol is in the range of 74.4% to 89.4%; an etchant (2): the weight ratio of the etchant (2) is : the weight ratio of hydrochloric acid is in the range of 12% to 35%; the rest is distilled water. The using method comprises: after polishing, sample is firstly dipped into the etchant (1), and is taken out after 40 to 70 seconds and directly put into the etchant (2), and is taken out after 60 seconds and washed, parched and observed corrosion condition; in each cycle, residence time of the sample in the etchant 1 declines 10 seconds than last cycle, and the minimum residence time of the sample is 10 seconds, and the residence time of the sample in the etchant (1) is unchanged. The invention has the advantages of keeping surface of the 409L ferritic stainless steel sample clear after being corroded, high display quality of grain boundary and grain, and long preservation time for the etchant. And the invention can be used repeatedly so as to reduce discharging of waste liquid and be in favor of environment protection.

The invention provides a method and device for measuring the attention range. According to the method, an LED key matrix composed of a plurality of key LED lamps is arranged on a big screen test panel; when a test is started, the test duration is set through a drive and control circuit; timekeeping is started after a tester presses a start key, any one of the key LED lamps on the LED key matrix is turned on randomly, when a tested person touches the key LED lamp with a hand, the key LED lamp immediately goes out, and the situation is recorded in a test score, another key LED lamp is immediately turned on at the same time, and if within a preset time interval, the key LED lamp which is on cannot be touched, the situation is nor recorded in the test score, and meanwhile other key LED lamps are automatically turned on; and so on, operation is carried out till the time is up; finally, the test score is displayed and subjected to statistics. The method and device for measuring the attention range are applicable to people of different age groups and are good in enjoyment, test data can be automatically saved, and subsequent statistics and analysis work can be facilitated.

The invention discloses an application program abnormal log processing method and system. The method comprises the steps of adding an application program service in a system, registering the monitoring application program service into the system service, registering to-be-monitored application in the monitoring application program service; the to-be-monitored application sends messages to the monitoring application program service every preset time interval; if the monitoring application program service receives the message sent by the to-be-monitored application in a preset expire time, the log file is not generated, if the monitoring application program service does not receive the message sent by the to-be-monitored application in a preset expire time, then the abnormal applications are searched based on the registered package name of monitored application, and the abnormal log of the abnormal application is recorded. Only when abnormalities of the system applications are detected, can the abnormal log be recorded. The running efficiency of the system is enhanced. The locating of the abnormal log information is facilitated. The method and system provide convenience to the analysis work of abnormal log information carried out by technical developers.

The invention discloses a concurrent program runtime parameter optimizing method, which comprises the steps that preparative experiment is performed by a one-order one-factor experiment method; the influence of single parameter change on the program performance is obtained, so that the parameters with the program performance influence exceeding the preset target, and the parameter values are screened out; the current optimal parameter combination is coarsely screened out from the parameter screened out from the preparative experiment by a uniform experiment method; a quantitative parameter value is then taken near each parameter value in the coarsely screened optimal parameter combination; the contribution degree on the experimental index of each parameter and the parameter values is analyzed by an orthogonal experiment method; further, the final optimal parameter combination is determined. The method has the advantages that the optimal parameter combination of the concurrent program on a concrete platform can be obtained; the parameter combination can be recommended to budget exceeding users, so that the operation of the budget exceeding users runs at the parameter combination; the execution efficiency of the application program is optimized, so that the whole throughput rate of the budget exceeding system platform is improved.

The invention discloses an intelligent substation network anomaly traffic detection model construction method based on a probability. According to the method, by carrying out repeated FARIMA simulation on acquired intelligent substation station control layer communication traffic data, a station control layer normal communication traffic threshold model is obtained; and a network anomaly case shown on the station control layer traffic level is subjected to key analysis, KDD99 anomaly data traffic is extracted and overlaid into original background traffic, anomaly network traffic is generated and used as a threshold datum thereout, and an evaluation index and an algorithm of an intelligent substation communication network are designed to analyze an operation condition of a power communication network. According to the invention, detailed algorithm description is given out by actual acquired traffic of a station control layer of a certain substation in Tianjin as test data, and examples are designed to carry out detection and early warning on substation communication network anomaly traffic.

The invention relates to a plant tissue small sample rapid preparation method which is used for carrying out component analysis or DNA identification of plant fresh samples. According to the invention, a plant fresh sample is directly added into a 2ml round-bottom centrifuge tube, and is subjected to a bake-drying treatment in a baking oven or a fast-drying treatment in liquid nitrogen; the sample is directly crushed in the centrifuge tube by using a handheld drill with a dome bit; an extraction liquid is added into the bake-dried sample tube for leaching, or an extraction liquid is added into the frozen sample tube for decomposing cells; a supernatant is obtained by separation in a high-speed centrifuge; and the supernatant is adopted as a component analysis or DNA identification sample. With the method provided by the invention, sample preparation work is flexible, instrument operation is eliminated, steps are simplified, certain test cost is saved, and working efficiency is improved. The method provided by the invention is suitable to be used in tobacco potassium nutrition and potassium high-efficiency genetic material potassium content determination works, and in sample preparation works before molecular biology research DNA extraction. The method facilitates laboratory sample analysis and testing works with small samples and large sample analysis amounts.

The invention discloses a soil body shrinkage limit tester based on an image analyzing method and an analyzing method thereof. The soil body shrinkage limit tester comprises a protection box, wherein the protection box is internally provided with an electronic scale; the electronic scale is provided with a shrinkage vessel; a soil sample is put into the shrinkage vessel, and a camera is arranged above the soil sample; the camera is fixed by a camera fixing bracket which is arranged at the bottom of the protection box and can rotate and retract; the protection box is internally provided with a temperature and humidity controller; and data lines of the electronic scale, the camera and the temperature and humidity controller are connected with a computer outside the protection box. The protection box and the temperature and humidity controller have the effects of preventing equipment micro-motion caused by air flowing and controlling and maintaining the temperature and humidity of an evaporation environment. According to the soil body shrinkage limit tester, the camera is used for photographing at intervals; the image analyzing method is used for analyzing dry shrinkage and deformation of a soil body, and a deformation (pixel displacement) moisture content curve is obtained by combining data of the electronic scale, so that the shrinkage limit moisture content of the soil can be directly and accurately judged; and the soil body shrinkage limit tester is simple, convenient and visual to operate, and the measured result is accurate.

The invention discloses a method for estimating lightning density distribution and annual average ground flash density (NG) values by kernel density estimation. The method comprises the following steps of: 1, constructing and maintaining a thunder and lightning space database and establishing a thunder and lightning real-time positioning monitor system by combining the geographic information system (GIS) technology to acquire the source of information on the occurrence of thunder and lightning, and displaying the positioning distribution of the lightning in real time in a space element mode; 2, acquiring the distribution of regional lightning density by a kernel density estimation process, and cutting graph regions which are selected by users and are used as condition layers to form a regional density distribution map and eliminate an edge effect; and 3, calculating a total regional area (kilometer) and annual total lightning time of the kernel density estimation to solve the NG values of the corresponding regions and form a weather product which combines the lightning density map and the numerical values, and releasing and sharing a thunder and lightning data analysis product by a sharing network finally. The fundamental aim of thunder and lightning service is fulfilled by the lightning density statistical method.

The invention discloses a judicial judgment case information structural processing system, which is applicable to the fields of information extraction and natural language processing. The system includes a judiciary judgement case information structured presentation module, an establishment judiciary judgement case information sequence annotation model module, an attribute trigger word managementmodule and a generation structured judiciary judgement case information module. According to the case types given by the users, the establishment judiciary judgement case information sequence annotation model module constructs a training set of judicial judgment case information sequence tagging and training sequence tagging model, and combines the attribute trigger word set to generate structuredjudicial judgment case information according to the method of generating structured judicial judgment case information. The system of the invention realizes the structured processing of the case information of the judicial judgment according to the case type and the case information of the judicial judgment provided by the user, and aims at providing an effective mode for extracting the structured information from the unstructured judicial judgment text.

The invention discloses an internal-pressure-cylinder pressure testing method and a system, and belongs to the technical field of examination equipment. According to the method, a solid elastic material is employed for replacing a conventional compression medium, and the solid elastic material is processed into a cylindrical compression body and is put into a test cylinder, the compression body generates radial expansion under the axial compression force and stresses the test cylinder, and an expected internal pressure and a loading process are obtained by controlling the loading speed of a press. If the test cylinder fails during an experiment, because the compression body is easily compressed, the pressure in the test cylinder rapidly decreases, and a large amount of energy is absorbed by the compression body. Therefore, the destroying capability of the residual energy to test on-site equipment and personnel is substantially reduced.

The invention discloses an intelligent medical inflatable insulation blanket which comprises a gas supply system, a heat preservation airbag, and a gas pipe which connects the gas outlet of the gas supply system and the gas inlet of the heat preservation airbag. Compared with the prior art, the invention is also provided with a regulation and control module, an operation and control panel, a test and display module and an alarm device, wherein, the regulation and control module is connected with the gas supply system, the operation and control panel is connected with the regulation and control module, and the test and display module is connected with temperature sensors. Two temperature sensors are arranged; one temperature sensor is arranged on a riser vent and the other temperature sensor is placed on the surface of the human body. The invention can automatically, real-timely and reasonably regulate and control the gas flow and temperature of the riser vent of the airbag according to the present difference value between the temperature of human body and the ideal core temperature, and causes the temperature of human body to quickly restore to the ideal core temperature and remain unchanged. The insulation blanket has the functions of manual operation, automatic operation, and monitoring control, and also has the advantages of high intelligence degree, easy operation, good safety, fast temperature regulation, and high stability.

The invention discloses a method for conducting friend recommendation through analysis of the user active friends making will and relates to the technical field of computer social networks. The method comprises the steps that a user friends making will characteristic matrix P and a user friends making will characteristic matrix Q are initialized, a directed adjacent matrix H is worked out, inconsistency of the directed adjacent matrix H is calculated through loop iteration, the user friends making will characteristic matrix P and the user friends making will characteristic matrix Q are updated through iteration, and a new directed adjacent matrix H is worked out; according to the directed adjacent matrix H, an initiator and a receiver of each relation pair are distinguished, active friends and passive friends of the user are distinguished, and accordingly, new friends are recommended to each user. According to the method for conducting friend recommendation through analysis of the user active friends making will, the active friends making will of each user in an undirected social relation is reasonably judged, so that personal interest and friends making preference of each user can be more accurately captured, a more accurate friend recommendation service can be provided for the undirected social networks, all kinds of analysis work of the social networks can be facilitated.

The invention discloses a gas electrostatic density measuring instrument and a method. The gas electrostatic density measuring instrument comprises a charge induction sensor, a vibration capacitance sensor, a signal conditioning module and a control module. The main measuring principle is that through measuring a potential difference generated by charges in the gas on the outer wall and the inner wall of the charge induction sensor, the charge density of the charged gas is calculated. The charge density of a thunderstorm gas can be measured via the gas electrostatic density measuring instrument; due to the design of a dual-cylinder structure, influences of an external gas on measurement can be effectively avoided; the circuit is simple; stability is good; the measurement precision is high; the application prospect is good; and popularization is worthwhile.

The invention discloses a virus detection method for an intelligent terminal. The method comprises the following steps: sending a security vulnerability detection data packet to the intelligent terminal; if the intelligent terminal responds, implanting a harmless virus scanning program into the intelligent terminal through the security vulnerability; detecting whether the intelligent terminal hasa virus invasion behavior or not by utilizing a virus scanning program; and if yes, generating a virus detection report containing the behavior log of the virus invasion behavior and the identification information of the intelligent terminal, and transmitting the virus detection report to the server. According to the method and the device, the security of the intelligent terminal can be determined, and meanwhile, multiple communication protocols are utilized to broadcast messages, so that virus detection can be carried out on different types of intelligent terminals, and the universality and the virus detection efficiency of virus detection are also improved. The invention also discloses a virus detection device, equipment and system of the intelligent terminal, which also have the above technical effects.

The invention discloses a mung bean InDel molecular marker detection primer group and application thereof, and belongs to a plant molecular marker technology. The mung bean InDel molecular marker detection primer group is uniformly distributed on 11 chromosomes, and the primer group sequence is shown as SEQ ID NO.1-1794. The mung bean InDel molecular marker detection primer group is rich in quantity, high in polymorphism, stable in heredity and good in repeatability, and can be used for relatively simple agarose electrophoresis detection, so that the efficiency is greatly improved; and the invention also discloses a kit and a detection method of the InDel molecular marker, and the method is simple and high in success rate, can avoid the problem of fuzzy subsequent analysis caused by specificity and complexity, and has wide application prospects.

The invention discloses a three-dimensional digital dental upper and lower jaw relation detection algorithm based on a cross section. The method comprises the steps of inputting a tooth model, calculating the midpoint of each mandibular tooth model, and constructing a mandibular trajectory by connecting the midpoints of all mandibular tooth models in turn; then, according to the section determinedby the user on the mandibular trajectory line, obtaining the intersection point set of the section and the tooth model. For each pair of upper and lower tooth models, the dental line of upper and lower jaws is constructed by determining the initial point as the positional relationship of upper and lower jaws. The invention utilizes the intersection point of the cross section and the tooth model to determine the upper and lower jaw tooth line segments, which helps to realize the detection of the upper and lower jaw relationship in two dimensions, facilitates the evaluation and analysis of theupper and lower jaw relationship of the teeth in the later stage, and improves the observation accuracy to a certain extent while saving time.

The invention provides a face activity unit detection method based on multi-task learning. The method comprises the following steps: auxiliary task learning: taking an AlexNet network before a globalaverage pooling layer as a shared structure to extract shared facial global features, and respectively sending the extracted shared facial global features into independent network structures related to tasks to obtain the output of an auxiliary task; wherein the output of the auxiliary task comprises the output of mark point detection, gender recognition, head posture estimation and expression recognition; main task learning: cutting the face into an upper half face and a lower half face, respectively inputting the upper half face and the lower half face into the modified Resnet50 network to learn features related to the activity unit, fusing the shared face global features extracted in the auxiliary task learning step, and adding an attention mechanism; and feature combination: combiningthe outputs of the auxiliary tasks to serve as relationship information to correct the output of the related features of the activity unit. The invention relates to the technical field of human-computer interaction and pattern recognition.

The invention relates to the technical field of partial discharge detection of AIS equipment of a booster station of a power plant, and particularly discloses an ultrasonic partial discharge detection robot applied to the AIS equipment of the power plant. The robot is characterized in that the robot further comprises a main control module installed on the robot body, and a detection module, a driving module, a power supply module, a communication module, a navigation obstacle avoidance module and a storage module which are electrically connected with the main control module, and a background monitoring module is electrically connected with the communication module. The defect that a traditional inspection robot cannot perform AIS equipment partial discharge detection is overcome, partial discharge detection visualization is realized, and partial discharge detection record traceability is realized;.

The invention provides an agricultural soil detection sampling device, and belongs to the technical field of detection. The problems that during existing agricultural soil detection and sampling, thesampling layer position and depth of a soil column cannot be distinguished, follow-up analysis is difficult, and a device is difficult to clean after sampling are solved. An agricultural soil detecting and sampling device comprises a base, a placement hole is formed in the base, arc-shaped plates are fixedly connected to the inner walls of the left side and the right side of the placement hole respectively, a plurality of tooth blocks are fixedly arranged on the arc-shaped plates, the tooth blocks are evenly distributed in the circumferential direction, gears are rotationally arranged in the arc-shaped plates, and the gears are matched with the tooth blocks on the arc-shaped plates. The arc-shaped plates surrouns two thirds of the gears. According to the agricultural soil detection sampling device, samples can be separated and collected according to soil levels, the agricultural soil detection sampling device can be cleaned to a certain extent after sampling, and the subsequent cleaning workload is reduced.

The ROP chain detection method and device and the medium provided by the invention are suitable for the field of flow detection. Based on a composition rule of an ROP chain, the problem that to-be-detected flow data of a data packet needs to be detected and judged for multiple times in existing research is optimized, the number of times of detection and judgment is set according to a specific operating system digit, and the to-be-detected flow data is simplified to obtain first generation data; correspondingly dividing the plurality of pieces of first generation data into a plurality of pieces of second generation data according to a byte address division principle and a Gadget address space; and according to the sliding window, judging the plurality of pieces of second generation data to obtain corresponding sliding data. And when the sliding data meets the preset condition, the position of the target sequence which appears for the first time is output to correspond to the position of the first generation data so as to position the ROP chain position, so that the time cost is further saved, the detection process is simplified, and convenience can be provided for subsequent flow analysis work according to the positioned ROP chain position.

The invention provides a cloud security event real-time detection method based on machine learning, and provides a log analysis method based on rules and machine learning on the basis of a log analysis method based on rules, so that security events can be discovered according to the corresponding rules, and unknown security events can be detected. The method comprises the following steps of analyzing a cloud log by adopting Spark to achieve real-time analysis effect, convenient extension, improving system analysis efficiency and analysis accuracy through multiple modes, improving log filteringand analysis efficiency by adding information to the head of the log, facilitating log analysis by transforming the log into a unified format, storing different types of information according to different modes to improve storage efficiency, and improving analysis accuracy through a sliding window. Thirdly, the method is suitable for a cloud environment and can detect malicious behaviors of cloudtenants.

The invention discloses a mobile internet data analysis apparatus. The mobile internet data analysis apparatus comprises an instrument body and a screen; the screen is mounted on the upper part of thefront side outer wall of the instrument body; a plate body is mounted on the outer wall of the back part of a nut; the top end of each inserting rod runs through an upper shell; spring grooves are formed in the outer walls of the left and right sides of the upper shell respectively; a third spring is mounted in an inner cavity of each spring groove; an inserting block is mounted at the bottom endof each third spring; each inserting block runs through the corresponding spring groove and the inserting rod in sequence; a pull rod is mounted on the outer wall of each inserting block; and each pull rod runs through the corresponding spring groove. By virtue of the mobile internet data analysis apparatus, data in the apparatus can be checked through the screen; apparatus is fixed in the base;by virtue of the upper shell and a lower shell, the base and the instrument body in the inner cavity are protected from damage; through first springs, damping and protection are achieved; and by pulling the pull rods, the inserting rods can be pulled, the upper shell is opened, and the instrument body can be taken out, so that operation is convenient and convenience is brought to life of people.

A composited variable-thickness buckling-restrained steel plate shear wall (BR-SPW) is provided; the core plate of an existing steel plate shear wall has even thickness; the steel plate is complex in force bearing; a yield energy dissipating section is affected by secondary processing like welding and cutting, thus increasing the core plate self initial disadvantages, and causing unstable energy dissipating ability. The composited variable-thickness buckling-restrained steel plate shear wall (BR-SPW) can solve said problems, and comprises a core plate, two concrete slabs, two backing plates, two connectors, a plurality of first connecting elements and a plurality of second connecting elements; the core plate comprises a thin plate section, two transition sections, and two thick plate sections arranged in one piece; the core plate comprises the thick plate section, the transition section, the thin plate section, the transition section and the thick plate section arranged in order from top to bottom; two backing plates are symmetrically arranged on two sides of the thin plate section; the two concrete slabs are symmetrically arranged on two sides of the core plate; the two connectors are respectively arranged on top and bottom of the core plate, and each connector is connected with the core plate through the plurality of first connecting elements; the core plate is connected with the concrete slabs through the plurality of second connecting elements. The composited variable-thickness buckling-restrained steel plate shear wall (BR-SPW) is suitable for the structural engineering field.