160results about How to "Guaranteed immutability" patented technology

The invention discloses a product traceability verification method based on a block chain technique, which comprises a traceability step and a verification step. The traceability step comprises the following sub steps: 1) plan and production process information data are used for building blocks, and the blocks are stored in a private block chain; 2) three pieces of basic information are used for building verifiable label information; and 3) a distribution node adds the product consumption information and the label information to a public block chain. The verification step comprises the following sub steps: a, a product label is acquired; b, the product label is queried in the public block chain; and according to related records for the product label and the public block chain, the authenticity and the uniqueness of the product are determined. By adopting the method of the invention, the authenticity and the reliability of the traceability information can be ensured, technical problems that products are copied and over distributed and a responsibility person can not be bound can be solved, and besides, high-efficiency operation and the control cost of the traceability system can be ensured.

The invention relates to a preparation method of soybean milk. The preparation method at least comprises the following stages: (a), flour preparation stage: providing a crushing container, a heating element for heating the crushing container and a crushing device, directly heating the crushing container through the heating element, so as to ensure that the temperature of the crushing container is increased to 70-90 DEG C, adding dried beans into the crushing container, crushing the dried beans into bean flour through the crushing device, and ensuring that lipase and beany flavor of the bean flour are removed in the crushing container at ambient temperature; (b), preparation and boiling stage: adding water to the bean flour, so as to prepare the bean flour into pulp, and heating and boiling the pulp till the pulp is well cooked. By adopting the air temperature inside the crushing device, crushing, lipase removal and beany flavor removal are performed at the same time, protein can keep invariant, beany flavor can be effectively removed, and crushing the beans into bean flour firstly can greatly enhance the crushing fineness, so that the soybean milk concentration can be effectively enhanced. In addition, water vapor can be evaporated during crushing of the beans in the high-temperature environment, the bean flour is not easy to agglomerate, and the crushing effect is good.

The invention relates to a face identification method and an attendance system based on a deep convolution neural network. The system comprises that user information and face sample labels are input into a user management server and then sent to a central server; in the central server, the pre-processed sample labels are used to establish a face identification model based on the deep convolution neutral network; employees carry out the online face identification through a trained neutral network on attendance machines at each site, and face identification results will be returned to the user management server by an internal local area network; and management staffs can carry out checking, modification and other operations to attendance records on the user management server. A face identification algorithm based on the deep convolution neutral network used by the invention can avoid problems such as incomplete and uncertain characteristic description caused by traditional manual extraction, can also make use of advantages of a receptive field and weight sharing, and can increase a face identification rate so as to increase an accuracy rate of the attendance system.

The invention provides a prefabricated building structure, comprising prefabricated columns, a prefabricated raised beam, prefabricated recessed-end rib cavity plate members, a longitudinal combination rib beam, a reconstituted cross rib beam, a combining joint, and a side structural wallboard. The prefabricated building structure is characterized in that each end of each prefabricated column is provided, in advance, with structural rebars; at least one side of each prefabricated column is provided with a reserved hole; a rebar channel for the longitudinal combination rib beam is prefabricatedin the prefabricated raised beam; the reconstituted cross rib beam is formed by connecting cross rib beam rebars between two prefabricated cavity plate members; each prefabricated cavity plate memberis composed of a longitudinal reinforced concrete rib beam, a cross reinforced concrete rib beam, a cavity, and a flower flange plate; the prefabricated cavity plate members are mounted on two sidesof the prefabricated raised beam; the combining joint for the prefabricated cavity plate members has a depth of </-50 mm; the side structural wallboard is fitted to the outer surfaces of the prefabricated columns and is a self-insulation wallboard.

The invention discloses a data processing method for hardware acceleration of a convolutional neural network. By analyzing the parallel characteristics of the convolutional neural network, and in combination with the parallel processing capability of hardware, the hardware acceleration is carried out on the convolutional neural network. The acceleration scheme is used for performing acceleration improvement on the Tiny-yolo network from three aspects that (1) the processing speed of the Tiny-yolo network is increased through multi-channel parallel input; (2) the convolution computing speed ofthe Tiny-yolo network is increased through parallel computing; and (3) the pooling process time of the Tiny-yolo network is shortened through pooling embedding. The method greatly increases the detection speed of the convolutional neural network.

The present invention discloses a method for extracting collagen and method for preparing collagen protein by using said collagen. Said method for extracting collagen includes the following steps: using Java tilapia skin as raw material, cutting said Java tilapia skin, adding n-hexane, defatting, using NaOH solution to remove heteroprotein, using acetic acid solution to extract collagen protein, concentrating and freeze-drying so as to obtain collagen. The method for preparing collagen protein by using extracted collagen includes the following steps: adding water to dissolve the collagen, then utilizing proteinase to make zymolysis, concentrating and spray-drying so as to obtain hydrolytic collagen protein.

The invention belongs to the field of building energy consumption auditing. A public building energy consumption auditing statistics splitting method can conduct efficient energy consumption statistics on buildings different in area, size and usage situation, is wide in application range and performs flexible and changeable splitting statistics calculation according to specific situation. The monthly electricity bill of a building is divided into air conditioner energy consumption, internal load energy consumption and other energy consumption. The public building energy consumption auditing statistics splitting method comprises the steps that 1 monthly illumination energy consumption and device energy consumption are calculated; 2, surrounding structure load, fresh air load and internal personnel load are calculated; 3, air conditioner load CL of the building is calculated; 4, a rated SCOPe of a system is calculated according to an actual investigating and surveying value; 5, a formula of the SCOP is calculated, wherein a system alpha is unknown; 6, the theoretical EHVAC' of the air conditioner system is calculated; 7, the actual EHVAC of the air conditioner system is calculated, wherein Eother is unknown. The method is mainly applied to an energy consumption auditing occasion.

This invention provides a cell phone seal system, which signs electronic names to short messages to be transmitted, inserts the electronic stamps with the signing information into the short meaasges to be transmitted to certify the identity of a sending party, the complete content of a short message, the orthority of the receiving party based on the property of the electronic seals to guarantee the duty and right of the two parties and the mode of the seal can be handwriting or a seal containing the special information of the sending party, such as SIM seal with the SIM card information, a cipher seal with the cipher of the sending party and E-KEY with its information or even seals based on the bio-character of a sending party such as fingerprint, iris, face, handwritings and voice.

The invention discloses a laser radar three-dimensional point cloud segmentation method. The method comprises the following steps of firstly, extracting original three-dimensional point cloud data collected by a laser radar; preprocessing the original point cloud with steps of denoising, simplifying and coordinate transformation of original point cloud data; constructing basic point cloud data under a three-dimensional Cartesian coordinate system; storing the three-dimensional data in the form of a two-dimensional array; adopting a variable neighborhood decentralized search strategy to dynamically adjust the resolution of the neighborhood range and the search matching range of the seeds surrounded by the region growing method. Point cloud preliminary segmentation work is carried out, on the basis, a point cloud segmentation envelope diffusion strategy is designed, the periphery of a point cloud segmentation set is further searched, fusion of multiple sets is achieved, then the point cloud segmentation set is obtained, and finally a visualization function of a point cloud segmentation result is designed and used for checking the point cloud segmentation effect. The method effectively improves the segmentation rate, effectively suppresses the over-segmentation condition, maintains the integrity of each target, and facilitates the observation of the scanning result of the segmented target.

The invention belongs to the technical field of information security and particularly relates to an electronic evidence fixing security method based on cloud storage. According to the method, a browser or a client, a cloud server and a cloud storage terminal are included; a user logs in a remote cloud desktop on the cloud server through the browser or the client and conducts electronic data collection on the remote cloud desktop; the remote cloud desktop has a video recording function and is used for timing and video recording of all operation on the remote cloud desktop by the user. The cloud server encrypts electronic data and video files and then transmits the electronic data and the video files to the cloud storage terminal for storage. The electronic evidence fixing security method is simple in process and easy to operate; the user can log in the remote cloud desktop anytime and anyplace for electronic evidence fixing work through any devices capable of being connected to the Internet.

The invention provides an ambiguity fast recovery method used for GNSS positioning and an ambiguity fast recovery system thereof. The ambiguity fast recovery method used for GNSS positioning comprises the phase of acquiring the fixed solution of an epoch before occurrence of an abnormal event and the phase of reinitialization of ambiguity of the moment of the abnormal event. The reinitialization of the ambiguity of the moment of the abnormal event comprises the steps that a virtual observation equation of correct fixed ambiguity and observation station coordinates and a weight matrix thereof are generated, and the ambiguity is determined again through combination of an original observation equation. According to the technical scheme, the ambiguity can be fast and reliably fixed again when the abnormal event occurs in the satellite so that the reliability of determination of the ambiguity can be increased, implementation is easy and convenient, system resources can be saved and the actual application effect is great.

The invention provides a text style migration method based on grammatical constraints and a language model. The method comprises the following steps: firstly, extracting a grammatical relation graph Gx of an input sentence x by utilizing a Stanford dependency syntax toolkit; then, adding style information Sx of an original input sentence and style information Sy of an expected converted sentence to the grammar relationship graph Gx through a graph-transformer structure to obtain grammar relationship graphs G'x and G'y; and then reconstructing an input sentence x' through a structure of a crossgraph-transformer in combination with the grammatical relationship graph Gx of the original input sentence to obtain a sentence y 'after style migration. In order to better learn a graph-transformerstructure integrated with style information and a cross graph-transformer structure for learning and reconstructing a style migration sentence, the method also utilizes a language model to replace a traditional CNN classifier to guide the learning of the CNN classifier. Experiments on a corresponding data set in the mode show that compared with a previous text style migration method, semantic invariance can be better kept under the condition that sentence styles are changed.

The present invention relates to a separation, purification and virus inactivation process of high-purity haematoglobin which can be used as substitute for red blood cell. Said process is characterized by including the following steps: under the condition of 0-4deg.C using natural red blood cell and making it undergo the process of haematolysis treatment to obtain primary haemolytic solution, adding proper quantity of antioxidant to regulate pH value of solution, making physical deoxidation and chemical deoxidation to fully remove oxygen existed in the haematoglobin, then adding excess antioxidant and adding saccharide compound as protecting agent, heating for 10-12hr at 60-80deg.C and continuously introducing inert gas, then making conventional filtration and ultrafiltration membrane treatment and regulating pH to 7.0-7.4.

An embodiment of the invention provides a registration method and a registration device of a panoramic image and point cloud, which relate to the technical field of image processing. According to the registration method and the registration device, panoramic image data is subjected to isometric projection by means of a pre-established panoramic conversion model to generate first projection data, and point cloud data is subjected to isometric projection by means of a pre-established point cloud conversion model to generate second projection data, thus a different-dimension heterogeneous problem between the panoramic image data and the point cloud data is effectively solved, and the panoramic image data and the point cloud data are converted into the projection data capable of being fused and registered; in addition, since the isometric projection mode is adopted, the conversion of the panoramic image data and the point cloud data can be realized while ensuring the invariance property of vertical lines in the real world, the precision of the registration process is increased, and since the panoramic image data and the point cloud data can be converted separately, the efficiency of the registration process can be improved.

The invention discloses a method for producing products such as soybean germ oil, soybean germ protein concentrate, soybean oligosaccharides, soybean saponins and soybean isoflavones by using soybean germs, and relates to the field of deep grain processing. The method comprises the following steps of: performing online stabilization treatment on the soybean germs; performing normal temperature extraction and low temperature desolventizing by taking subcritical fluid as a lytic enzyme to produce the soybean germ oil; extracting polar ingredients such as the soybean oligosaccharides and the like from the defatted soybean germs by taking subcritical liquid ammonia and the like as lytic enzymes, and separating the oligosaccharides, the isoflavones and the saponins from the extract and purifying; and separating the soybean germ protein concentrate from the liquid ammonia extract, namely a low temperature soybean gear meal. When the method is used, five products such as the germ oil, the oligosaccharides, the soybean protein concentrate and the like can be obtained simultaneously, so that the full utilization of the soybean germs is realized, and production cost is low; reextraction canbe completed in different extraction stages of the same leaching equipment, so that investment is saved; and zero emission is realized, so that the method is environmentally-friendly.

The invention discloses an industrial hempseeds isolate protein powder of which the protein purity is above 92%. The invention also provides a preparation method of the industrial hempseed isolated protein powder, comprising the following steps: (1) purifying and decorticating industrial hempseeds according to grading, and obtaining low temperature protein meal by CO2 supercritical fluid extraction; (2) dissolving the desolventized protein meal in alkaline liquor, adjusting the PH value to 8-10 to obtain protein emulsion, removing insoluble residue and fibre by filtering; (4) taking supernatant liquor and adding acid liquor to adjust the PH value to 4.5-5, centrifugalizing to take the precipitation; (5) adding alkaline liquor to adjust the PH value to 6-7, obtaining the industrial hempseeds isolate protein powder by spray drying. The invention has the advantages of simple process, low cost and high protein extraction efficiency. The produced industrial hempseeds isolate protein powder has high nutritional value and a wide application prospect.

The invention relates to small peptides extracted from internal organs of squids and a method for preparing the same. The small peptides are characterized by containing an amino acid structural fragment-ILGGSDPKHYTG- with the relative molecular weight of between 1,400 and 5,800. The small peptides are prepared by the following steps: performing enzymolysis of internal organs of Japanese squids, filtering by using an ultrafiltration membrane of which the intercepted molecular weight is 18,000Da, separating and purifying by using gel chromatography to obtain the small peptide matters containing the amino acid structural fragment-ILGGSDPKHYTG-, adding potassium sorbate, uniformly stirring and drying. The invention also relates to a composition consisting of the following ingredients: 6 to 8 percent of small peptides extracted from internal organs of squids, 50 to 60 percent of soya bean meal, 3 to 6 percent of fish meal, 27 to 33 percent of corn flour and 2 to 5 percent of starch for granulation. The composition can be used as a protein source of a feed for marine fishes, shrimps, shells and the like, particularly the protein source of the feed for marine fishes. If the marine fishes are fed by the composition, the feeding amount of the marine fishes is greatly improved, and the unit weight of the marine fishes is raised.

A soybean oligopeptide manufacturing process and enzyme hydrolytic reaction still for realizing the process relating to a separation and extraction process for short peptide mixture comprising the steps of, choosing raw material, hydrolyzing, centrifugal separation, and barrier separation, while the enzyme hydrolytic reaction still comprises a mixing system, an acid-alkali charging system, a pH observation system and a cool-down system.

The invention belongs to a license plate recognition system, and discloses a license plate character recognition method based on an SIFT operator and a chaos genetic algorithm. The method is characterized in that Chinese characters and alphanumeric characters of a license plate are separately recognized, that is, the Chinese characters are recognized by using an SIFT operator feature extraction and template matching method; and the alphanumeric characters are recognized by using a thirteen-point feature extraction method and a support vector machine, and the problem of low overall recognition rate of the license plate characters due to that most of the existing license plate recognition systems adopt a unified character feature extraction and recognition method for recognition is solved. Meanwhile, in order to improve the classification capability of the support vector machine, the method adopts the chaos genetic algorithm to optimize radial basis function parameters and penalty factors, license plate images of different backgrounds are collected and tested and simulated on matlab software, the overall recognition rate of the characters can reach more than 99%, and the chaos genetic algorithm has a higher character recognition rate and a faster convergence rate than a traditional genetic algorithm.

The invention relates to a process for pre-treating cotton seed, which specifically comprises cotton seed cleaning, peeling, separating kernel and shell, modifying, forming and drying so as to obtain granules. The process is characterized in that 1) after the cotton seed is cleaned and peeled, the kernel and the shell are separated; during the separation of the kernel and the shell, the shell content in the kernel is controlled at 8 to 18 percent, and the kernel content in the shell is controlled to not more than 0.5 percent; 2) during modifying, the moisture is controlled at 12 to 18 percent, preferably, 14 to 16 percent; and the temperature is controlled below 60 DEG C, preferably, 40 to 50 DEG C; 3) during forming, the barrel pressure is controlled; the temperature of the materials is controlled to not more than 90 DEG C, preferably, 70 to 85 DEG C; the oil outlet amount is controlled to not more than 16 percent; and the linearity of the formed granular material is controlled to not more than 10 millimeters; and 4) during drying, the moisture in the dried material is controlled to not more than 5 percent. The method is simple, the process is easy to control, the cotton seed protein is kept not to denature when the cotton seed is pretreated under low temperature, the cotton seed powder is little during peeling and cannot be used as a control index, and the obtained material can be directly used for grease leaching process.

The invention discloses a method and device for querying battery information of a vehicle, and a medium. The method comprises the steps: receiving a query request sent by user equipment, wherein the query request comprises identification information of a to-be-queried vehicle; obtaining a vehicle ID of the vehicle from a network device according to the identification information; extracting a block chain corresponding to the vehicle ID from a local database according to the vehicle ID; and extracting the battery information and the corresponding timestamp in each block in the block chain. According to the method and device for querying battery information of a vehicle, the battery information of the vehicle can be accurately obtained, and the battery information is stored in the form of the block chain, so that the safety and the unchangeability of the battery information are ensured, and the cost of obtaining the battery information of the vehicle by the user is also reduced, and theutilization efficiency of the battery is improved.

The invention relates to a method for producing low-temperature soybean meal by the leaching method, belonging to the food industry low-temperature soybean meal production field. The method takes a soybean slice as a raw material and uses pentane as leaching solvent to perform degreasing, and then wet meal is obtained; and the wet meal enters into a desolventizer-toaster for vacuum low-temperature exsolution, and then the low-temperature soybean meal is obtained. The leaching temperature is between 15 and 35 DEG C, the leaching time is between 20 and 35 minutes and the leaching frequency is 3; the residual oil rate of the soybean meal is reduced to below 1 percent; the vacuum degree of exsolution of the wet meal is between 73 and 86 kPa; the exsolution temperature is between 40 and 60 DEG C and the exsolution time is between 0.5 to 1 hour; the residual oil rate of the low-temperature soybean meal produced can reach blow 1 percent and residual solvent is below 200 milligrams per kilogram; and the NSI value of proteins of the soybean meal exceeds 80 percent. The low-temperature soybean meal produced by the method has high protein content, complete shape, white color and no foreign odor.

The invention discloses a robot joint variable rigidity module based on a cam type lever structure. The robot joint variable rigidity module comprises an input part, an output part and a rigidity adjusting part. The rigidity adjusting part comprises pressure springs, a cam type lever and a rigidity adjusting supporting point. The cam type lever rotates around the rigidity adjusting supporting point, one end of the cam type lever cooperates with the output part, and the other end of the cam type lever cooperates with the pressure springs. A bearing is arranged between the input part and the output part so as to bear non-torque loads of the whole module and enable the input part and the output part to relatively rotate. When the output part of the variable rigidity module bears outer instantloads, the loads are transmitted to the pressure springs through the cam type lever to be absorbed, and therefore outer impacts are reduced, and flexible drive output is achieved; and meanwhile the robustness and operation stability of a robot are improved. The robot joint variable rigidity module is compact in structure and low in cost and is integrated into a module, and therefore the robot joint variable rigidity module can be conveniently applied to various kinds of interactive equipment, especially, flexible robot joints. The robot joint variable rigidity module further has the advantages of being convenient to operate and easy to implement.