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 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 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 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 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 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 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.