33results about How to "Reduce Analysis Complexity" patented technology

The invention provides an electrocardiosignal data acquisition and processing method and system. The electrocardiosignal data acquisition and processing system comprises a data processing unit which comprises a data analysis unit. The data analysis unit comprises an RR interphase preprocessing unit and an instantaneous feature extraction unit. The RR interphase preprocessing unit is used for preprocessing an RR interphase sequence, so that a signal bandwidth of an RR interphase is enabled to fall in a frequency bandwidth requested by the best amplitude frequency features of the Hilbert transform. The instantaneous feature extraction unit is used for extracting instantaneous amplitude features and instantaneous frequency features of the RR interphase sequence. The electrocardiosignal data acquisition and processing system has the advantages that through acquisition and processing of the electrocardiosignals, complexity of data analysis is reduced, and amount of calculation is decreased; the system is simple in design, low in cost and convenient to apply.

The invention relates to a single exon copy number variation predicting method based on target area sequencing. The method includes: processing sequencing data; predicting copy number variation, to bemore specific, statistically counting the total number of sequencing sequences and basic groups covering a target area, determining control exon areas, standardizing the coverage of the to-be-analyzed exon areas of each control sample and each experiment sample, calculating the average value, standard deviation and variation coefficient of the standardized coverage of the to-be-analyzed exon areas in the control samples, and predicting the copy number variation of to-be-analyzed exon areas. The method has the advantages that whole genome sequencing is not needed, the copy number variation ofexon level is analyzed by directly using the coverage information of the exon level, and the method is simple in analysis and does not need complex GC correction and modeling.

The invention discloses a concealed channel identification method. A system source code is used as an analysis object. The method comprises the following steps of: formally describing a concealed channel in a secure information system as (V, PAh, PVl, P); then dividing a system to be analyzed into relatively independent subsystems; searching related function calling branches in the subsystems by using a shared variable as a basic unit, and further constructing directed information flow graphs according to an information flow relationship; and pruning each information flow graph according to the formal description of the concealed channel to eliminate invalid flow branches and variable aliases in the code, wherein all flow nodes and function calling branches in the finally obtained information flow graphs are potential concealed channel forming factors. The method is suitable for source codes of information systems such as an operating system, a database, a network and the like of high security level, has wide application range, high execution efficiency and low error report rate and missing report rate, can identify the potential concealed channel in the system, and meets the requirement of security standards on concealed channel analysis.

Disclosed in the invention is a carrying capacity evaluation method of an overhead transmission line. A tilt angle sensor is installed at a tower; a lead temperature is calculated based on a lead suspension tilt angle and a wind deflection angle, thereby calculating a lead temperature; a temperature sensor is used for measurement an environmental temperature and a sunlight intensity; current sensors installed at the line are used for measuring real-time loads of the lead; and a heat transmission coefficient is used for representing a combined influence on the lead by microclimate conditions like a wind sped and a wind direction and the like. And then according to the lead temperature model, a real-time maximum carrying capacity of the lead is calculated and evaluated. With the method, an error caused by using the existing lead temperature measurement method can be reduced; the equipment installation time is shortened; the data analysis complexity is reduced; a problem of inaccurate wind speed and wind direction measurement is solved; and reliability of lead carrying capacity calculation is enhanced.

The invention discloses a method for establishing a multi-level virtual maintenance training system of a complex equipment vehicle. The method comprises the following steps: 1, acquiring the information of the whole complex equipment vehicle and each part thereof; 2, constructing a rough mold for visual display and a fine mold for virtual disassembly and assembly of the whole complex equipment vehicle and all parts thereof; 3, optimizing a visual display three-dimensional coarse mold and virtually disassembling and assembling a three-dimensional fine mold; 4, establishing a virtual disassemblyand assembly planning sequence of the optimized virtual disassembly and assembly three-dimensional precision mold; 5, constructing a multi-level virtual maintenance self-learning training mode of thecomplex equipment vehicle; 6, constructing a multi-level virtual maintenance guide training mode of the complex equipment vehicle; 7, constructing a multi-level virtual maintenance autonomous training mode of the complex equipment vehicle; and 8, integrating and packaging the multi-level virtual maintenance training system of the complex equipment vehicle. According to the method, the rough modeland the fine model are established, training is smooth, the truth and immersion are good, the virtual decomposition and assembly object model and the hierarchical relationship thereof are established, and later virtual maintenance training is facilitated.

The invention discloses a high-interaction SSH honeypot implementation method which comprises the following steps: connecting a system SSH port, judging whether SSH service exists or not, and enteringthe next step if the SSH service exists; capturing an authenticated user name/password during password identity authentication by utilizing a logit function and an authctxt structure body in the OpenSSH; after the password is successfully authenticated, modifying related module codes by utilizing the characteristic that SSH service processes client data through a pipeline and a user processing interactive session module, so as to record the shell password; controlling the outflow flow of the honeypot system, including two processes of limiting an external data packet and inhibiting an external attack packet; and analyzing, processing and displaying the data captured by the honeypot system by utilizing a javaweb technology. According to the high-interaction SSH honeypot implementation method, the defects that a passive defense technology cannot be used for SSH attacks which are continuously updated and changed due to valleys, and medium and low interaction SSH honeypots are low in interaction degree, insufficient in decorativeness, easy to be broken and the like can be overcome, and the security defense capability for SSH services is improved.

The invention discloses a data conversion method used for data conversion between acquisition data and alarm data of an operation and maintenance system; according to a preset mapping relation between acquisition data type and alarm data type and a mapping relation between acquisition data file and alarm data field, the method can realize positive conversion which is to convert acquisition data into alarm data, and can realize reversed conversion which is to convert alarm data into acquisition data. The alarm data obtained by positive conversion can provide more comprehensive alarm information for operation and maintenance people, thus reducing operation and maintenance data analysis complexity for the operation and maintenance people, solving alarm data loss problems caused by increasing system device, and reducing video cloud storage operation and maintenance platform fault processing flow operation complexity; on the other hand, the acquisition data obtained by reversed conversion can be pushed to the a front end display system, thus enhancing real time display of equipment under abnormal state, and providing more accurate equipment fault information for the operation and maintenance people.

The invention discloses an information channel center system and a method for distributing information channels by using an information channel center strategy. The information channel center system comprises a management layer, a service layer, an information channel center and a user group. The method for distributing the information channels comprises the following steps of classifying users; judging whether idle first-class user information channels are distributed to unlicensed users by using the information channel center according to the class of the users; storing and managing information channel state information by using the information channel center; planning the user class; managing information channel borrowing behaviors of the unlicensed users; providing query services on information channel borrowing conditions; establishing a multi-user and multi-information-channel cognitive radio network under management of the information channel center by using a unit type model based on a Markov chain; and optimizing information channel distribution by using a genetic algorithm. Information channel data and user information are comprehensively managed on the basis of the information channel center; a circumstance that the unlicensed users await an opportunity to occupy information channels viciously can be effectively prevented in the multi-user and multi-information-channel cognitive radio network; on that basis, the information channels are optimally distributed; and the total handling capacity can be maximized.

The invention relates to a dynamic generation method for a power grid task disposal scheme, and belongs to the technical field of task sorting. The method comprises the following steps of 1) receivingat least one task generated based on an alarm event; 2) splitting the task into a plurality of independent units based on the processing steps required by the task, and associating and combining intoa new unit according to the relevance among the steps corresponding to the units; 3) performing quantifiable attribute splitting on the units processed in the step 2); obtaining an attribute set of each unit; and calculating the Euclidean distance from each attribute set to the typical sample, and respectively dividing the units corresponding to each attribute set into the nearest typical samplegroup, thereby dividing different crisis handling degrees of each unit, preferentially handling critical units, secondly handling emergency units, and finally handling common units. According to the method, the analysis complexity of the monitoring service event can be greatly reduced, and the operation efficiency of the monitoring service event is improved.

The invention discloses a method and system for analyzing gene sequencing data. According to the method, all detected variation information can be utilized; meanwhile, a visual concept is fused, unprocessed variation information is simulated into an image, variation distribution and intensity can be visually seen, an image comparison or image recognition technology is utilized to directly processthe image to search for differences. Therefore, the analysis complexity can be reduced to the great extent, the analysis time cost is lowered, the analysis time is multiplied compared with a conventional analysis method, and the analysis process is simpler and more visual.

The invention relates to a cash management system, which comprises an instruction unit, an acquisition unit, a recommendation unit and an analysis unit; the instruction unit is used for receiving a user request and initiating cash flow analysis based on the user request; the acquisition unit is used for acquiring cash flow transaction data of a user from each data source based on a user request; the recommendation unit is used for carrying out financial product modeling based on the cash flow transaction data and recommending a corresponding financial product according to the risk bearing capability of the user; and the analysis unit is used for generating cash flow data of the user based on the cash flow transaction data and the corresponding financial product model and storing the cash flow data to the database. The method has the beneficial effects that the cash flow condition of the salesman can be completely and accurately analyzed and is actively pushed to the salesman, and the use habit of the salesman does not need to be cultivated; user group particularity is achieved, and the analysis complexity can be reduced; and salesman information is obtained by using a company as a main body, and the payment information barrier is broken.

The embodiment of the invention provides a data processing method and device and electronic equipment, and the method comprises the steps that data processing equipment responds to the selection operation of a user on a displaceable to-be-detected area, and all the displacement directions corresponding to the to-be-detected area are displayed in an operation interface. Then, in response to an input operation of the user on the shift direction, an actual shift direction consistent with the input sequence is acquired. And the data processing device adjusts the obtained actual displacement direction according to a preset direction sequence. And finally, the adjusted actual displacement direction displayed at the preset position of the operation interface is recorded. No matter how the direction sequence of the actual displacement direction input by the user is, the data processing equipment can ensure that the actual displacement direction input by the user can be recorded in a unified direction sequence by adjusting the actual displacement direction. And by standardizing the direction sequence of the shift direction, the analysis complexity during subsequent analysis of a large amount of shift direction data can be further reduced.

The embodiment of the invention relates to a method and device for determining the distance between an interactive target and a robot, and electronic equipment. The method comprises steps of determining a rectangular frame area where an interaction target is located by adopting a human body detection algorithm; extracting depth data of the rectangular frame area from a depth map, then, reducing analysis complexity in a row scanning mode or a column scanning mode, filtering depth data obtained through scanning statistics, and accurately determining a distance between the interaction target andthe robot according to the appearance frequency of the depth data obtained after filtering. The method is advantaged in that the method can be suitable for various poses and scenes while that a distance is determined through real-time collection is guaranteed.