315results about How to "Guaranteed representation" patented technology

The invention provides a block-chain-based financial product transaction consensus method, node and system. The method comprises: a first verification node receives a transaction consensus applicationsent by a transaction node and decrypts the transaction consensus application to obtain transaction information; the transaction certificate is verified by using a transaction certificate preset in the first verification node to determine whether transaction is legal or not; if so, the transaction information is logically verified by using a smart contract preset in the first verification node and whether the transaction logic is legal is determined; if so, the smart contract corresponding to the transaction information is executed, the transaction information is broadcasted to all second verification nodes in a built-in verification node list of the first verification node and a transaction consensus decision is initiated; voting information fed back by the second verification nodes within a preset verification cycle is received and whether the proportion of the consensus of the voting information exceeds a preset threshold is determined; and if so, a transaction consensus message issent to the transaction node.

The invention discloses an intelligent word-group input method in input system, including get the portfolio information between at least two basic words from the pre-set internet corpus, which including the combination relationship and adjacent same frequency of (the least two) words; generate multi-table according to the portfolio information; receive the user input encoding string, and segment the encoding string; get the combination information in the multi-table according to segmentation string, and extract the words with the corresponding relations in combination information as the candidate words. The invention can improve the first selected words hit rate of user input words, phrases, short sentences or long sentences to avoid ineffective repeat calculation process to improve the efficiency of the user input.

A multi-element analyzing device of on-line detection is prepared for erecting two types of agitators on measurement unit to eliminate off influence caused by air bubble in ore pulp and state variation and brought onto measurement for ensuring representativeness of measured ore pulp and simultaneously carrying out revision on concentration in mathematical model to make said analyzing device be not influenced by condition variation in measurement. Its detecting method is also disclosed.

The invention belongs to the field of medicine preparations, which in particular relates to a method for distinguishing the coating quality. More concretely, the invention relates to a method for distinguishing the coating quality of a medicine preparation. In the method provided by the invention, a qualitative distinguishing model of the coating quality is quickly constructed by combining the methods of a near-infrared spectrum method, an interval principal component analysis method, a support vector machine method and the like, the comprehensive evaluation of the coating quality of the medicine preparation is realized, and the distinguishing accuracy basically reaches the requirement of industrial production. Relative to a traditional method or experiential judgment, the distinguishing method provided by the invention can quickly, nondestructively, reliably and accurately distinguish the coating quality of the medicine preparation in a coating process in an on-line way.

The invention discloses a methane profile orthogonal inversion method aiming at AIRS (atmospheric infrared sounder) hyper-spectrum satellite data. The method concretely comprises the following steps that a secondary standard product of an AIRS hyper-spectrum satellite is utilized for obtaining atmospheric composition profile data under the conditions of different regions and different seasons; a group of sets which contain a great number of observation results and can represent the atmospheric composition profile data under the conditions of different regions and different seasons are built; a radiation transmission equation is utilized for simulating an atmospheric top layer emergent radiation brightness value on a target passage for each profile, in addition, the observation noise of an instrument is added for obtaining the simulated satellite sensor observation radiation brightness value; the sensitivity of the atmospheric composition and the temperature is analyzed according to the simulated radiation brightness value for selecting the inversion passage; training sample sets are subjected to empirical orthogonal function expansion, and an empirical orthogonal function regression coefficient is calculated; cloud-clearing radiation brightness standard products of the AIRS hyper-spectrum satellite data are obtained, and the obtained regression coefficient is used for inversion.

The invention provides a method for making rock bedding structure model based on a 3D printing technology. The method includes the following steps that N rock stratum three-dimensional models of the same property are designed with CAN software; the obtained three-dimensional models are subjected to layered processing and saved in the format of STL; data are transmitted to a computer, and N printing parameters and printing raw materials are selected; N models are printed continuously with a 3D printer, control software controls a printer nozzle to melt the materials according to layered information, spraying is conducted point by point, one layer of printing is completed, and the printer controls a software control platform to ascend along the Z axis to continue curing of subsequent printing layers till the model is obtained. According to the method, the 3D printing technology is utilized to rapidly make the rock bedding structure model stratum by stratum, rock stratums representing different density, composite particles and particle arrangement modes are concentrated into one model, defects existing in the stratums are printed accurately, a rock prototype can be adjusted according to research requirements, and time and economic cost of a small number of customized models are reduced.

The invention discloses a hierarchical clustering method and system based on multistage layered sampling. The method includes: using randomly-sampled initial sample sets as seeds to build layered inquiry strategies, and distributing corresponding sample number to each layer of inquiry strategies on the basis of the estimate variance minimum principle of each layer; using the layered inquiry strategies to perform layered sampling on data sources to obtain the representative sample sets with high sample representativeness; clustering the samples in the representative sample sets, and performing secondary sampling on the data sources on the basis the boundary points of the clusters to obtain uncertainty sample sets with high sample uncertainty; clustering on the basis of the collection of the initial sample sets, representative sample sets and the uncertainty sample sets to estimate the clustering center of the data sources. The method has the advantages that high representativeness and uncertainty of the samples are guaranteed through multistage layered sampling, the problem that randomly-sampled samples are poor in representativeness is solved, and the accuracy of data source clustering is increased.

The invention relates to heavy-duty vehicle rapid portable emission measurement system and method. The system and the method use a rapid portable emission measurement system to carry out tests emphasis on NOx and CO2 concentration in tail gas. The NOx and CO2 concentrations in the tail gas are used to calculate a NOx emission factor based on per-unit CO2 emission, and then through quantity transformational relation between the NOx emission factor and a work-based window NOx specific emission, a heavy-duty vehicle emission value which can be directly compared with a reference limit value is derived. Compared with a relatively mature European work-based window method, the method eliminates calculation on the size of a work-based window and moving average work-based window specific emission, thereby greatly simplifying data analysis operation. The system and the method can more conveniently and rapidly determine NOx emission level of a heavy-duty vehicle, and are used for spot check and road inspection of heavy-duty vehicle emission.

The invention discloses an intelligent sample collecting device which comprises a machine frame. The machine frame is provided with a feed inlet. A rotatable rotating disc mechanism and multiple sample storage barrels used for collecting samples are arranged in a collecting cavity formed by the machine frame. The sample storage barrels are hung on the rotating disc mechanism. Each sample storage barrel is provided with a hinged barrel cover and an induction locking mechanism used for locking the barrel cover. The hinged position of the barrel cover is provided with an elastic part so that the barrel cover can bounce upwards to be opened when not locked. The feed inlet is provided with a liftable weighing mechanism. The weighing mechanism is provided with an induction unlocking assembly matched with the induction locking mechanism. When the rotating disc mechanism drives the sample storage barrels to rotate to the position below the feed inlet, the weighing mechanism raises to lift up the sample storage barrels, so that the induction locking mechanism induces an unlocking signal of the induction unlocking assembly to open the barrel covers for sample connection and weighing operation. The intelligent sample collecting device has the advantages that the structure is simple and compact, the intelligence degree is high, sample collection and transfer safety is high, sample collection quality precision is high, working efficiency is high, and the production cost is low.

In order to meet different test requirements of pollutants, the invention provides a modular motor vehicle exhaust pollutant onboard emission test platform. In addition to an onboard emission test system required by a sixth-phase motor vehicle emission standard, the modular motor vehicle exhaust pollutant onboard emission test platform also includes one or more test modules arranged side by side and communicating with a motor vehicle exhaust pipe, and can realize multi-module combined measurement according to actual test requirements. In addition, an offline component sampling system samples offline samples from the motor vehicle exhaust pipe by a proportional sampling dilution system according to a certain exhaust gas flow proportion so as to ensure the representativeness of the offline samples and fully reflect the vehicle emission characteristics during the sampling period.

The invention provides a multiphase flow flowmeter which comprises an each-phase-content measuring device and a multiphase flow velocity measuring device. The each-phase-content measuring device comprises an emitting device, a detector and a processor, wherein the emitting device can emit X rays of different energies to a multiphase flow body, the detector is used for detecting X rays exiting from the multiphase flow body, and the processor can calculate the content of each phase according to the attenuation coefficient of the X rays and the correlation between liquid content and oil-water ratio; and the processor is connected with the detector. The multiphase flow flowmeter provided by the invention can be used for metering the flow rate of oil, water and gas multiphase flow and can realize full non-contact measurement.

The invention discloses a method for high-speed self-adaptive video keyframe extraction. The method comprises: 1) for each to-be-processed video file, resolving the video file to extract data frames whose type is KEY_FRAME; 2) according to actual requirements, selecting an extracted data frame whose type is KEY_FRAME, using the data frame as the first keyframe of the video file, and storing the data frame in a keyframe database; and then, calculating similarity of a subsequently extracted data frame whose type is KEY_FRAME and a previous keyframe of the video file in the keyframe database, if the similarity is smaller than or equal to a given threshold value, using the data frame in the type of KEY_FRAME as the keyframe of the video file, and storing the data frame in the keyframe database; if not, giving up the extracted data frame in the type of KEY_FRAME. The method greatly improves extraction speed of keyframes.

The invention discloses a deceptive junk comment detection method oriented to user generated contents. The method comprises the steps of 1) establishing a user comment information set for crawled webpages, and clustering to obtain a plurality of information regions, 2) calculating a label vector of each information region and sampling to obtain a sample set thereof, 3) labeling samples in each sample set to obtain a deceptive junk comment sample set and an unlabeled comment information sample set of each information region, 4) for each sample, searching for P samples most similar to the sample in the sample set of each information region and calculating the final feature vector of the sample, 5) selecting a machine learning method and establishing a deceptive junk comment detection model for each information region based on the final feature vector of each sample, and 6) performing deceptive junk comment detection on a newly crawled user generated content webpage by virtue of the deceptive junk comment detection model. The method improves the efficiency of detecting the deceptive junk comments.

The invention discloses an isothermal constant-speed sampling device of fly ash. A sampling head is arranged at the front end of a sampling gun; the sampling gun is arranged inside a flue; the tail part of the sampling gun is connected with a cyclone separator through a second heat-resisting metal hose; a first heat-resisting metal hose is sleeved outside the sampling gun and the second heat-resisting metal hose; one end of the first heat-resisting metal hose is communicated with the flue; the other end of the first heat-resisting metal hose is connected with an air extractor through a dust remover; a ball valve is connected to the lower end of the cyclone separator; the top part is connected with the filter; the filter is connected to a flow meter; the flow meter is connected with the air extractor; a heater is arranged outside the filter and the cyclone separator; one end of a first thermocouple is connected with a temperature transmitter; the temperature transmitter is connected with a temperature control system through a signal wire; one end of a second thermocouple is arranged inside the cyclone separator; and the other end of the second thermocouple is connected with the temperature transmitter. The heat-resisting efficient filter for isothermally sampling obtains actual particle size distribution of the fly ash in the smoke. The content of pollutants such as heavy metal in the fly ash of a sampling point is accurately reflected by the sampling device.

The invention belongs to the field of ferrous metallurgy, and relates to a molten steel (or molten iron) sampling process, in particular to a sampling device, wherein continuous sampling can be performed and the sampling depth can be adjusted. The sampling device comprises an integrated control box 1 in the attached drawing, a base 2 in the attached drawing, a support 3 in the attached drawing, a rotating disc 4 in the attached drawing, rotating arms 5 in the attached drawing, gears 6 in the attached drawing, measuring guns 7 in the attached drawing, and sampling devices (various sampling devices) 8 in the attached drawing which are all connected by screw bolts and nuts in a welding way. The sampling device is characterized in that during a smelting procedure (such as LF furnace refining), continuous sampling can be performed, and the sampling depth at each time can be constant or the sampling depth can be adjusted. The sampling process can ensure the accuracy of a tapping sample and is representative.

The invention discloses an image retrieval method and a related device, which can be applied to an artificial intelligence computer vision technology. The method comprises the following steps of acquiring image features and text features; then constructing similarity nodes so as to transmit similarity information between similarity nodes; further filtering the similarity nodes according to the weight information; and determining a target similarity value based on the updated similarity node and the filtered similarity node so as to determine a corresponding text retrieval result in response tothe input of the target image. Therefore, a cross-modal information retrieval process is realized, and due to similarity information transmission between the global similarity features and the localsimilarity features and semantic weight screening in the retrieval process, the accuracy of the similarity features is improved, so that the image retrieval accuracy is improved.

The invention discloses an automatic inspection system for fast grain storage. The system comprises an automatic sampling device, an automatic testing device and a control device, wherein the automatic testing device comprises a grain conveying mechanism and a grain testing mechanism; the grain conveying mechanism comprises a first grain buffer, a second grain buffer, grain conveying pipelines and a power air source; the grain test mechanism comprises an impurity detection device and a moisture detection device; a discharging port of the automatic sampling device is connected with a feeding port of the first grain buffer; a discharging port of the first grain buffer is connected with a feeding port of the impurity detection device through a valve; a discharging port of the impurity detection device is connected with a feeding port of the second grain buffer through one grain conveying pipeline; the moisture detection device is arranged below the second grain buffer; and a discharging port of the the second grain buffer is connected with a feeding port of the moisture detection device through a valve. According to the automatic inspection system for fast grain storage, automatic sampling and testing in the grain purchasing process is realized, so that the waiting time of grain storage is reduced, and the grain purchasing efficiency is improved.

The invention discloses a video key frame extraction method, system and device based on multi-view features, and the method comprises the steps: setting a sampling rate to sample an original video stream, and extracting the video stream into a plurality of frames of images; calculating a Hamming distance of hash values of every two continuous adjacent frames of images for all the extracted framesby applying an average hash method AHA, if the Hamming distance is greater than a threshold value, determining that a shot boundary is formed, and otherwise, not dividing the shot boundary; respectively extracting three characteristic values, namely an RGB characteristic value, an HSV characteristic value and an LBP characteristic value, from each frame of image extracted in the sampling step; performing single-core clustering calculation on the extracted RGB, HSV and LBP feature values in each lens according to a lens division result in the lens division step, performing summation operation after normalization processing on clustering results, and taking a frame with a minimum summation result as a key frame of the lens. The extracted key frame is more representative, the robustness of the algorithm is enhanced, and the readability of video abstract extraction is improved.

The invention particularly discloses a beltless full-automatic mechanical sampling system for trains. The system comprises an operation platform, a sampling mechanism and an integrated sample preparation unit. The operation platform is located above train rails; the full-sealed integrated sample preparation unit comprises a feeder, a crusher, a fixed mass division machine and a sample retaining barrel which are sequentially arranged from top to bottom; the sampling mechanism is used for collecting materials from train carriages and conveying the materials to the feeder, the feeder sends the materials to the crusher uniformly and continuously, the crusher crushes and conveys the materials to the fixed mass division machine, the fixed mass division machine divides the materials into samplesand waste, the samples are retained in the sample retaining barrel, and the waste is conveyed to carriages through a waste return unit. The waste return unit can replace manpower to treat the waste regularly, so that the operation efficiency is improved.

The invention discloses a high-accuracy as-fired coal sampling and weighing and checking integrated system and method, and belongs to the technical field of as-fired coal sampling and measuring. The as-fired coal sampling and weighing and checking integrated system is composed of a coal sampling device, a coal splitting and returning unit, a weighing and checking unit and a computer control unit; the computer control unit controls the coal sampling device to conduct automatic coal sampling, a coal sample enters the coal splitting and returning unit, standby samples are increased after splitting and sample reserving are conducted through a splitting device, the standby samples are subjected to automatic packaging and then sprayed with two-dimensional codes for encryption, and therefore random inspection and checking can be conveniently conducted. A rejected sample enters the weighing and checking unit and is weighed in a weighing coal bunker and on a belt scale separately, and the computer control unit conducts weighing and checking on the belt scale according to a weight signal fed back from the weighing coal bunker. According to the high-accuracy as-fired coal sampling and weighing and checking integrated system and method, automation and accuracy from coal sampling to belt scale checking can be achieved, and a good technical reference is provided for completing automatic sampling work on as-fired coal and improving the measuring accuracy of the as-fired coal.