419results about How to "Guaranteed Coverage" patented technology

The invention discloses a traffic-road condition information processing method based on a vehicle wireless sensor network. The method is characterized in that: firstly, a wireless communication network is established and the network includes an information center, a vehicle wireless sensor network sub-system formed by limited vehicle mobile knots and an information publishing sub-system based on a broadcasting network; the information center is fixed in a traffic hub in a city as the center of the wireless communication network; secondly, each vehicle mobile knot collects the timely road condition information and integrates data through the vehicle wireless sensor network sub-system according to the instruction of the information center; then the timely road condition information from the information collection and data integration of each road section is reported to the information center through the vehicle wireless sensor network sub-system; finally, the processed traffic road condition information and network control instructions are published by the information center through the information issuing sub-system to each vehicle mobile knot for the road choosing by drivers.

A design verification system generates a small set of test cases, from a finite state machine model of the application under test. The finite state machine is reduced by creating efficient samples of the inputs to the application under test which are prepared by combinatorial input parameter selection. The test cases are generated by finite state machine traversal of the reduced state machine, and tests interacting combinations of input parameters in an efficient way. The technique is integrated into a test generator based on a finite state machine. Using an extended language, partial rulesets are employed to instruct the test generator to automatically employ combinatorial input parameter selection during test generation. Another technique for test case generation is disclosed, which uses combinatorial selection algorithms to guarantee coverage of the system under test from the aspect of interaction between stimuli at different stages or transitions in the test case.

The invention provides an automatic detection system and method of a secondary virtual loop of an intelligent transformer station. The automatic detection system comprises an automatic test system and virtual terminal simulated output subsystems, wherein the virtual terminal simulated output subsystems are disposed in secondary intelligent electronic devices. According to communication links and virtual terminal loop information in an SCD file, the automatic test system sends a test control command to spacing-layer and process-layer devices via the GOOSE internet to drive virtual terminal simulated output of the devices, response to test excitation of the devices is obtained from the MMS internet and the GOOSE internet to automatically determine a test result, and the correctness of the virtual loop is verified. According to the system and method of the invention, whether virtual terminals of point-to-point and networking ports of the devices are correctly connected can be determined needless of dismounting fibers among the devices, changing configuration of the virtual terminals or adding external testers, the debugging-verifying efficiency and correctness of the secondary virtual loop are improved, and stable and reliable operation of the secondary system of the intelligent transformer station is ensured.

The invention discloses a regional rail network UAV cruise method based on dynamic cell division. The method comprises the following steps; grading roads, dividing all the roads into important parts and unimportant parts according to grades so that there are differences when the cruise is arranged; carrying out preliminary flight cell division to the whole area according to a UAV cruise radius and a ground control center, wherein one UAV cruises one flight cell; carrying out UAV flight path optimization to the roads with different grades in the each flight cell and performing cruise time constraint examination according to a UAV path optimization result; if a condition is satisfied, determining the path as the optimal path; otherwise, turning into a next step; if the cruise time constraint is not satisfied, using a cluster analysis method to further dividing the each cell; repeating the above steps till all the constraints are satisfied so as to obtain the final optimization cell and the optimization path and determine a cruise scheme.

The invention discloses a fast verification method for software testing and evaluation. The method comprises during the regression test, collecting information of the coverage rate of test codes in a tested system, and calculating to generate a test coverage rate report; comparing differentiation between a prior version and a later version to generate a differentiation result; and comparing the test coverage rate report with the differentiation result and determining whether the regression test covers the differentiation result. By means of the fast verification method, the test coverage rate report of the tested system can be verified fast, targeted supplement of test cases is facilitated for testers, and complete coverage of codes is guaranteed.

The present invention relates to a preparation method of a microcapsule aluminum hypophosphite flame retardant. The method comprises the steps of: first reacting melamine, a formaldehyde solution and a resin modifier under reaction conditions of pH of 8-10 and a temperature of 50-80 DEG C for 0.5-2 h to prepare a melamine resin prepolymer; then slowly adding the prepolymer to water with aluminum phosphate dispersed therein, reacting at 65-95 DEG C for 1-5 h, and treating to obtain the microcapsule coated inorganic aluminum phosphate flame retardant. The obtained microcapsule inorganic aluminum hypophosphite flame retardant has greatly improved water resistance, boiling residual rate of 92% to 97% and average particle diameter of 10-35 mum, solves the disadvantage of flammability of inorganic aluminum hypophosphite, and greatly improves the safety of the production and application process.

The embodiment of the invention discloses a knowledge graph construction method, device and system. The method comprises the steps of obtaining the unstructured data, semi-structured data and structured data of a target topic according to an industrial chain relationship; performing the natural language processing on the unstructured data, and processing the unstructured data subjected to the natural language processing and the semi-structured data by utilizing a machine learning algorithm; performing data conversion on the structured data and the unstructured data and the semi-structured dataprocessed by using a machine learning algorithm to obtain the to-be-processed data; and performing knowledge extraction and knowledge fusion on the to-be-processed data to obtain a knowledge graph corresponding to the target topic. By utilizing each embodiment of the specification, the accuracy and efficiency of the knowledge graph construction can be greatly improved.

The invention discloses an airplane noise monitoring, covering and optimizing method and an airplane noise monitoring, covering and optimizing device using a mobile sensor network, belonging to the field of civil aeronautical facility. The method comprises the steps of: using gathering nodes and mobile sensing and monitoring nodes in a monitoring area; collecting position information of mobile sensing and monitoring nodes with an original state by the gathering nodes; sending the position information back to a central processing computer; establishing a corresponding monitoring area model by the central processing computer according to an actual demand of the noise monitoring area, and simulating virtual movement of the mobile sensing nodes by using an optimal covering algorithm so as to complete layout optimization of optimized sensor nodes; after the central processing computer completes an optimization algorithm, transmitting the optimized position information to the corresponding gathering nodes; and sending an instruction through the gathering nodes, thus moving the mobile sensing nodes to the optimized positions according to the instruction, and completing the covering optimization of the monitoring area. The method and the device provided by the invention have the characteristics of strong self-adaption, resource conversation and rapid optimization speed.

The embodiments of the present document disclose a transmission method and system for HARQ-ACK feedback information, a terminal and a base station, herein the transmission method includes: determining, by a base station, a PUCCH corresponding to a terminal according to a preset transmission policy, herein the transmission policy is: transmitting, by the base station, PUCCH indication signaling to the terminal, the indication signaling carrying information of one PUCCH of preset N PUCCHs, the one PUCCH being a PUCCH corresponding to the terminal; or determining a PUCCH corresponding to the terminal according to preset resources; or determining a preset terminal-specific PUCCH to be a PUCCH corresponding to the terminal; and receiving by the base station, HARQ-ACK feedback information through the determined PUCCH.

The invention provides a breeding method and a pond for improving the commercial specification and the yield of procambarus clarkii in the pond. The breeding method comprises the following steps: drying the pond under the sun; putting young procambarus clarkii into the pond for the first time; performing catch rotation on commercial procambarus clarkii for the first time; putting young procambarus clarkii into the pond for the second time; performing catch rotation on commercial procambarus clarkii for the second time; and thoroughly draining water of the pond, and catching all commercial procambarus clarkii. The pond comprises a circular groove which is digged along the periphery of the pond, wherein the circular groove has an upper bottom width of 6 to 10 meters, a lower bottom width of 1 to 5 meters, a depth of 0.8 to 1 meter, a ridge height of 0.8 to 1 meter and a slope ratio of 1: 3; the area of the circular groove accounts for 20 to 30% of the total area of the pond; the a region, located at the inner side of the circular groove, of the pond is piled with a central enclosed beach; and the distance between the water level of the pond and the central enclosed beach is in a range of 10 to 70 cm. The invention has the following beneficial technical effects: by adopting the method provided by the invention, 200 to 250 kg of commercial procambarus clarkii can be harvested in two seasons, wherein the proportion of the commercial procambarus clarkii with a specification of 40 g or more reaches 60 to 70%.

The invention discloses a cluster AP channel allocation and power adjustment method for a dense user area. Based on the existing channel allocation and power adjustment technology, channel allocation and power adjustment are integrated through ingenious design and are made to support each other and be matched with each other, and therefore a new technology scheme is formed. The method is applied to dense area wireless AP deployment, the purpose of dense user area cluster AP deployment which can not be achieved by a single channel allocation scheme or a single power adjustment scheme can be effectively achieved, the problem of mutual interference between wireless APs is solved to the maximum degree, the signal cover is guaranteed, the bandwidth availability ratio is improved, and the method is high in practicality value and popularization value.

The invention discloses a monitoring system for generating a market business index, which comprises a data information acquisition and storage module, a data reduction/conversion/integration module, a business monitoring module and a business monitoring inquiry display module. Correspondingly, the invention further discloses a monitoring method for the business index applied to the monitoring system of the market business index, that is, screening and calculating the basic data read by a data source system by a calculation unit configured by the system in advance and containing index and index number calculation programs. The invention further discloses a method for monitoring information delivery between a data processing system host and a user browser. The range and the effectiveness of business monitoring data are guaranteed; monitoring rules are unified in the process of monitoring the business; a monitoring index system of a standard and normalized market business situation is further built; and the index system provides a barometer for judging the market change in demand and the macro-economy trend for medium-sized and small enterprises and related management departments of the government.

The invention relates to a high-frequency and low-frequency combined multi-frequency antenna array. The high-frequency and low-frequency combined multi-frequency antenna array comprises a low-frequency array composed of low-frequency vibrators and a first high-frequency array, a second high-frequency array and a third high-frequency array which are each composed of high-frequency vibrators. The high-frequency and low-frequency combined multi-frequency antenna array is characterized in that the middle of an antenna is provided with a double-frequency array which is formed by coaxially nesting the low-frequency array and the first high-frequency array, the second high-frequency array and the third high-frequency array are distributed at the two sides of the double-frequency array in a shoulder-by-shoulder and staggered mode, and the spacing distance among the high-frequency vibrators in the second high-frequency array is equal to that among the high-frequency vibrators in the third high-frequency array. According to the high-frequency and low-frequency combined multi-frequency antenna array, high gain, multiple frequency bands, high isolation and high reliability of the antenna are achieved on the premise that the size is small, and a new array antenna array arrangement scheme is provided for achieving the section coverage purposes of achieving station antenna coverage, high-quality communication and data transmission ratio, saving station space, increasing customer volume and the like.

The invention discloses a method for detecting privacy leakage on Android platforms on the basis of context information. The method comprises the following steps of: 1, carrying out static taint analysis on software to obtain a taint propagation path; 2, carrying out static function analysis on the software to obtain a software function calling map; 3, constructing a mapping relationship between Android authorities and APIs, and collecting a system and UI event information at the same time; 4, integrating data collected in the steps 1, 2 and 3, and constructing privacy-related API function context information; 5, intercepting privacy-related API functions used in the software, and constructing dynamic execution context information; 6, carrying out privacy leakage detection on the collecteddynamic execution context information and the privacy-related API function context information constructed in static analysis; and 7, if a similarity in the privacy leakage detection in the step 6 isgreater than or equal to a set threshold value Q, judging that a privacy leakage risk exists. The method is capable of achieving the aims of automatically detecting privacy detection and protecting privacy data, and has relatively low extra resource consumption.

The invention relates to a wiring method for fibers for monitoring a composite cylinder. The method comprises the steps as follows: (1) clamping a cylinder liner on a main shaft of a numerically controlled winding machine; (2) arranging the fibers on the surface of the cylinder liner; (3) forming in a winding way and solidifying a composite layer of the cylinder; and (4) performing a water pressure self-tightening test. According to the structural characteristics of the columnar composite cylinder, a winding geometric planning programming method of a geodesic line or a non-geodesic line of the composite cylinder is simulated, a geodesic line or a non-geodesic line fiber wiring method with the wiring direction changed gradually is adopted firstly, gradual change track wiring of the fibers for measuring stress, strain and temperature in any angle and direction is implemented, the fiber damage failure resulting from the relatively large stress difference between a winding layer fiber and a fiber is avoided in the winding forming process of the cylinder, the solidifying process of the cylinder and the water pressure test process after an optical fiber sensor is implanted, and the survival rate of the fibers implanting in a cylinder layer is greatly increased.

The invention provides a digital pre-distortion method and device. The method comprises the following steps: obtaining the amplitude, power and quantity of a service signal collected in real time; according to the obtained amplitude, power and quantity of the service signal, judging whether the service signal is a training sequence signal or not; when the service signal is the training sequence signal, using the service signal for digital pre-distortion. The technical scheme can effectively cover the status differences and the diversity of a base station and a transmitter during working in an outfield and furthest saves limited system processing resources. The technical scheme contains the optimal sequence acquisition function under the FDD non-full service situation, fully ensures the coverage of a training sequence for the service signal on the aspects of peak amplitude and average power distribution, overcomes the defects of the traditional technology on the aspect of training sequence generation and the service feature matching while greatly reducing the computational complexity of the system, and improves the DPD processing performance.

The invention discloses a random diffusion dynamic load balancing method, comprising the following steps: step 1, a process, namely a state variable, of a computing task along with time migration is regarded as a random process, and each iteration is performed through a random diffusion information exchange protocol and a parameter learning process based on a probabilistic graphical model; and step 2, a random migration matrix of a task load is calculated and task migration is performed based on the random migration matrix to achieve load balancing. The method has the advantages of good expansibility, good global balancing effect and the like.

The invention provides a device for calibrating a valve direct current residual voltage parameter tester of a zinc oxide arrester, which comprises a multi-input end standard resistor voltage divider and a current divider, wherein the standard resistor voltage divider comprises a high-voltage arm and a low-voltage arm, the high-voltage arm is formed by sequentially serially connecting a plurality of high-voltage resistors and has different resistance values according to different tested voltage values; the low-voltage arm is a low-voltage resistor which can be used as the current divider, the high-voltage arm is serially connected with the low-voltage arm, the other end of the low-voltage arm is connected with a grounding terminal; and two ends of the low-voltage arm are connected with an output terminal through a lead. An actual load of the parameter tester of the arrester can be simulated by adopting the standard resistor voltage divider, and meanwhile, measurement on output voltages and currents of the parameter tester of the arrester can be completed so that traceability can be conveniently carried out. The standard resistors are combined into a whole and then arranged in a fixed insulation sleeve, different loads have different high-voltage interfaces, a coverage range and a load current range during calibration are ensured, and all units are integrated together through a base and the sleeve as well as a high-voltage lead so as to be convenient for carrying and be neat.

The invention provides a data test method and system. The data test method comprises the following steps: setting a plurality of communication file format templates according to a preset data integration interface standard; determining a corresponding communication file format template for test data in each integrated scene in the plurality of communication file format templates; importing the test data in each integrated scene into the corresponding communication file format template; automatically carrying out database check and system interface check on the imported test data; and generating a test report according to the check result. By adopting the data test method in the technical scheme provided by the invention, batch import of the integrated scene and the dependency relation of the test data is realized, multiple checks are automatically executed to improve the data test efficiency, and the problems of complex and time-consuming of test verification and low efficiency of large data integration software caused by the huge business message volume and the dependency relation of the business are solved, thereof the regression test workload is reduced, and the coverage and the quality of each turn of regression test are guaranteed.

The invention discloses a method and system for establishing test cases. The method comprises the following steps of: step one, importing a model to be tested; step two, defining a test scene which is formed by a plurality of continuous states according to a certain transfer order; step three, respectively setting a corresponding state variable for each state, setting transfer conditions for the transfer order, and setting a corresponding transfer variable for each transfer condition; and step four, selecting the state variable of each state and the transfer variables of the transfer conditions in sequence, and generating the test cases in a combination manner. The method and system for establishing test cases solve the technical problems in the prior art that in a simulation test of upper level algorithm models of whole vehicle controller software, the efficiency of test case manual execution is low, the coverage rate of test cases is not high, the portability is poor, and the test process is time consuming and labor consuming.

The invention discloses a stochastic distributed data stream frequent item set mining system. In the system, a new distributed data stream mining mode for frequent item transactions is adopted, a stochastic frequent item mixer is introduced to improve the accuracy of mining, new transactions, when accumulated to the same number as basic windows, in a data steam are send to n frequent item set mining devices by a data item dividing method according to the different items in the transactions respectively, transaction numbers to which different data items belong are attached to the different data items, and in the frequent item set mining devices, frequent item sets are mined by running and operating different frequent item transactions and the mined frequent item sets are stored in a frequent item set storage. Finally, the data items are fed back to data item dividers through the stochastic frequent item mixer for deep mining. Compared with other methods, the method has the advantages of small memory storage space, high response speed and the like. Meanwhile, the coverage of mode mining can be ensured by increasing the number of the frequent item set mining devices or feedback times.