484results about How to "Reduce research costs" patented technology

A system and method for reconstructing pathways in large genetic networks from genetic perturbations comprises an analysis method and system that applies a recursive algorithm for determining the path between every gene pair in an arbitrarily large genetic network from large-scale gene perturbation data and reconstructs all direct and indirect regulatory gene interactions in the network. Graph theory mathematics is applied to genetic network reconstruction in the following manner: Genetic perturbation data is used to identify all genes accessible from a perturbed gene to generate an accessibility list for the gene. Graph theory mathematics is applied to the accessibility list and its graph to determine a condensation of the graph as defined by the condensation's accessibility list. Graph theory mathematics is applied to the accessibility list, such as through a recursive algorithm performed on a desktop computer, to obtain an adjacency list for the gene that characterizes a genetic network.

The invention discloses a vehicle testing system and method. The system comprises a scene building platform, a driving state collecting device and a processor, wherein the scene building platform is used for building a traffic environment model according to the testing case, and building the vehicle model to be tested according to the vehicle parameters of the vehicle to be tested; the driving state collecting device is used for collecting the actual running state information of the vehicle to be tested and sending the actual driving state information to the processor; the processor is used for synchronizing the actual running state information to a to-be-tested vehicle model, and generating a control instruction of the vehicle to be tested according to the virtual driving state information of the vehicle model to be tested in the traffic environment model. Therefore, the system can carry out automatic vehicle driving test under the simulation environment; the test time is effectivelyshortened, and the research cost is reduced; the accidents that are likely to occur in a real environment can be prevented, and the safety of the test can be improved.

An Internet product research system based on data mining is composed of an information collecting module, an information pre-processing module, a product general picture analysis module, a sentiment analysis module, a user behavior analysis module and a data showing module. All kinds of information related to a product on the Internet are collected automatically through the system and are pre-processed, comprehensive analysis is carried out through a data mining and natural language processing technology, and therefore the analysis results of the general picture analysis related to the product, the market public praise analysis of the different functions of the product, the contrastive analysis of different products, user group analysis and other different aspects are formed fast, and fast and solid supports are provided for product analysis and marketing decisions. Internet information resource advantages are fully utilized, the product can be researched according to user needs, manpower and material resources needed by the research can be saved, and market trends can be reflected and tracked in time.

The invention discloses an intelligent out-of-control protection system for a rotary wing type unmanned aerial vehicle. The intelligent out-of-control protection system comprises the following equipment of a power source, an attitude sensor, a height sensor, a control chip, a first steering engine, a second steering engine, a shock absorption autoinflation air cushion, a catapult and a self-throwing type parachute, wherein the power source is used for supplying power to the control chip, the attitude sensor, the height sensor, the first steering engine, the second steering engine and the catapult; the attitude sensor and the height sensor are used for acquiring attitude data and height data of the rotary wing type unmanned aerial vehicle and sending the attitude data and the height data to the control chip; the control chip is used for analyzing the attitude data and the height data and sending out a control signal to the first steering engine and the second steering engine; the first steering engine is used for controlling the catapult to be started and stopped; the second steering engine is used for controlling an autoinflation device to inflate air into the shock absorption autoinflation air cushion; the shock absorption autoinflation air cushion is installed at the bottom of the rotary wing type unmanned aerial vehicle; the catapult is fixed to the top of the rotary wing type unmanned aerial vehicle; and the self-throwing type parachute is installed inside the catapult.

The invention discloses a numerical method for a graded crushed stone dynamic triaxial test. The numerical method comprises the following steps of: simulating the graded crushed stone dynamic triaxial test through establishing a physical model and a mechanical model by using a PFC2D software platform, wherein the simulation operation comprises test of basic parameters, simulation of a test model and generation of a graded crushed stone simulation specimen; secondly, giving micro mechanical parameters to the physical model, and constructing the mechanical model; and then, carrying out repeated dynamic load simulation on the graded crushed stone simulation specimen so as to obtain a graded crushed stone stress-strain curve and a graded crushed stone permanent deformation-loading frequency curve. According to the numerical method disclosed by the invention, the graded crushed stone permanent deformation-loading frequency curve in a triaxial test can be reproduced accurately, conveniently and quickly, and a graded crushed stone deformation rule is disclosed, so that the graded crushed stone fracture mechanism is favorable to research intensively; and the problems of high instrument price and inconvenience for operation in an indoor dynamic triaxial test are avoided, so that the test efficiency is improved, and the research cost is saved.

The invention belongs to the technical field of automobile electric power steering, and specifically relates to a performance test system for an automobile electric power steering system. The performance test system includes a testing stand pedestal, a motion control mechanism for providing experiment simulation kinetic energy input, and a measurement and control system for performing detection and acquisition of experimental data, wherein the measurement and control system includes a real-time controller, a sensor unit and a data acquisition module; the sensor unit is connected with the real-time controller through the data acquisition module; and the real-time controller is connected with an upper computer. The performance test system for an automobile electric power steering system can complete a performance test for an electric power steering system indoors so as to save the real vehicle experiment to effectively reduce the cost, and is high in accuracy and reliability.

The present invention relates to a method for selecting pharmacological compounds for selective inhibition of cancer cells comprising identifying a compound, determining the reduction potential (E_R) of the compound, and selecting the compound which has a reduction potential from −1.1 to −0.8 volts. The invention also relates to a pharmacological compound comprising at least one cyanine dye or merocyanine dye, wherein the dye has at least one cationic substituent, wherein the dye has a reduction potential of from—1.1 to 0.8 volts, and wherein the pharmacological compound demonstrates selective inhibition of cancer cells.

The invention discloses a method and a system for discovering and integrating rectal cancer related genes by utilizing public data resources and analyzing functions of the rectal cancer related genes, and an application. Based on the public data resources, open big data resources and diversified bioinformatics analysis means are reasonably used for performing analysis processing on mRNA expression data, and important genes related to complex diseases and functions of the important genes are identified. The method comprises the steps of sample data downloading and management; gene expression data analysis; difference expression gene screening; and gene function analysis and protein interaction analysis. According to the method and the system, the problems of weakness in integrating existing network resources, unfamiliarity with mRNA related most common databases and frontal analysis methods, incapability of independently finishing mRNA expression spectrum related bioinformatics analysis and the like can be solved; a plurality of risk pathways and genes related to the complex diseases such as the rectal cancer and the like can be discovered; and the method and the system are of important significance for biological targeted treatment of the complex diseases, biological drug research and development, pathogenesis explanation and risk prediction.

The invention discloses a flow field characteristic experiment device of a combustion chamber of a hydrogen-burning gas turbine. The flow field characteristic experiment device comprises three pairs of bluff body arrangement combustion chamber experiment pieces, a particle image velocimetry (PIV) test platform frame, a PIV test system and a pressure difference and environment temperature test system. The three pairs of bluff body arrangement combustion chamber experiment pieces comprise a front lateral plate, a front bluff body, a back bluff body, an affiliation mechanism of the back bluff body, a front top plate and a back top plate. A tracer particle injection pipe jack is arranged on the front lateral plate, an inlet speed probe jack is arranged on the front top plate, and an outlet speed probe jack is arranged on the back top plate. A tracer particle generator is connected with the tracer particle injection pipe jack on the front lateral plate. The device adopts the PIV test technology, selects reasonable combustion chamber position, reasonably mingles tracer particles into a main gas flow under the effects of the tracer particle generator and a tracer particle injection pipe, enables tracking particles in the test area to be evenly distributed and conducts visualization experiment of cold state flowing speed vector distribution of three pairs of bluff arrangement combustion chambers.

The invention discloses a construction method of a multi-scale prediction model of a chloride ion diffusion coefficient of prestressed concrete. The method is characterized by: regarding the concreteas a cement-based composite material composed of different-scale materials, establishing prediction models of chloride ion diffusion coefficients of the different-scale cement-based materials in sequence with gradual transition from small-scale hardened cement slurry to large-scale concrete, then considering influences which are of prestress inside the prestressed concrete and on chloride ion diffusion thereof, and finally, establishing the multi-scale prediction model of the chloride ion diffusion coefficient of the prestressed concrete. According to the method, influences of prestress levelson chloride ion diffusion are studied by starting from multi-scale structure formations of the cement-based materials, and the established multi-scale prediction model of the chloride ion diffusion coefficient of the prestressed concrete has very important significance for chloride ion penetration resistance study and durability design of the prestressed concrete.

The invention discloses a humanoid robot soccer competition real-time simulation system of the computer simulation technology field, and comprises four modules: a client end, a server, a monitoring module and an information interaction module. Three humanoid robot modules are arranged on the client end, each humanoid robot module obtains the scene information from the server by the information interaction module, reconstructs the scene competition environmental module, analyzes the current environment, generates the decision information and synthesizes the standard instruction to be sent to the server by the information interaction module, so as to carry out the competition between the two teams; the monitoring module carries out the real-time display of the conditions of the competition between the two teams, and the four modules construct the three-to-three humanoid robot soccer competition 3D real-time simulation system. The humanoid robot soccer competition real-time simulation system actually reflects the process of the humanoid robot soccer competition and provides a great test platform for improving various theories, algorithms and the structure of the humanoid robot system.

A bridge investigation method includes the steps of firstly, acquiring three-dimensional ground and geological data, and generating a DGSM (digital geological solid model); secondly, generating a DGESM (digital geological surface or solid model); thirdly, generating a DBSM (digital bridge solid model); fourthly, generating a bridge global three-dimensional solid surface model; fifthly, subjecting the bridge global three-dimensional solid surface model to bridge structure solid mechanical analysis, and selecting road alignment schemes and bridge schemes; sixthly, establishing a geological solid sectional prediction model, and optimizing road and bridge schemes; seventhly, using the bridge global three-dimensional solid surface model to generate a three-dimensional steel bar diaphragm of a bridge structure; eighthly, generating structural diaphragms of superstructure and understructure of a bridge; ninthly, generating a constructional-phase solid of the superstructure and the understructure of the bridge; and tenthly, comparing an after-building three-dimensional bridge solid model to a pre-building bridge global three-dimensional solid surface model to obtain parameters such as displacement, settlement, deformation and the like for bridge detection. By the method, the bridge and geological three-dimensional conditions can be obtained directly, the road and bridge schemes can be selected accurately, visually and conveniently, rework amount can be reduced effectively, investigation quality, constructional safety and bride stability can be improved, the problem of coordination of the bridge with environment and geology is solved, and bridge design effect is improved evidently. The method is widely applicable to bridge investigation and can be applied to engineering application by configuring corresponding software.

The invention relates to a method and device used for crack and other defect detection of irregular small-curvature curved surface parts, such as defect detection of aircraft engine turbine blades, and belongs to the technical field of electromagnetic nondestructive detection of metal damage and fatigue process. In order to meet the requirements of curved surface crack and other defect detection, a traditional rigid planar array sensor is no longer applicable, only an array sensor must having a certain flexibility can fit with the surface of a to-be-tested piece, the detection gap requirement can be ensured, and the test results are not invalid. A known electromagnetic flexible probe is made by a flexible circuit board making method, is expensive and is difficult to adapt to the needs of studies on sensor structure optimization and basic design. The invention discloses an embedded array structure combining a flexible substrate and a rigid plane electromagnetic coil, the production cost is greatly reduced, and the embedded array structure has the certain ability of bending and deformation, can satisfy the detection requirements of blade small-curvature curved surface test pieces, and has the advantages of being high in detection efficiency, simple and convenient, low-cost and the like.

The invention belongs to the technical field of vehicle parameter measurement, and particularly relates to a recognition method for rotational inertia around z axis and tire cornering stiffness of an automobile. The method comprises the following steps: (1) operating steering wheel angle impulse test according to an automobile operation stability testing method to acquire data, wherein the data comprises a steering wheel angle, yaw velocity, lateral acceleration and a vehicle speed signal; (2) recognizing a transfer function of a vehicle system equivalent two-degree-of-freedom vehicle model through a least square method by using the data acquired by the step (1); (3) recognizing the yaw rotational inertia around the z axis and the tire cornering stiffness of the automobile included in the transfer function obtained by the step (2) through a nonlinear least square method. According to the method, the use of other large-sized experimental instruments is avoided, and the research cost is effectively reduced; the data used by the method is convenient to measure so as to finally facilitate modeling; the speed is high, quick development of research work is facilitated, and the method has higher practicability.