59results about How to "Fully reflected" patented technology

The invention provides a method for information personalized search and a system. The method of the invention comprises the steps that: a user model and an information model are preset; the user model is obtained by analyzing collected user input information; the user input information is collected and obtained by utilizing an input method system; the inquiry conditions of users are received, and a corresponding record of the users in the user model is obtained; according to the user model and the information model, searching process is adjusted so as to obtain a personalized searching result; and/or according to the user model and the information model, a general searching result is adjusted so as to obtain a personalized searching result. Compared with the traditional method, the method of the invention can collect more accurate and complete personalized information as that information sources of users are input initiatively, not accepted passively, thus obtaining the personalized information files of users and better completing personalized search by analyzing the collected original input information.

The present invention provides a client user groups clustering method comprising the steps of collecting multiple user word banks from input method client users, recoding the corresponding relationship between a user and the corresponding user word bank, wherein, the word bank comprises words and word frequency; calculating to obtain characteristic parameters of a user according to the word bank of the user; calculating similarity degree between the user characteristic parameters to complete the clustering of user groups. Furthermore, the present also comprises a step of providing personalized information service to a user according to class information of the user. According to the present invention, class identification of users is completed by collecting input information (the input information includes input content and input habit) of multiple users and through a clustering strategy with a higher accuracy, and the clustering accuracy of input method client user groups are improved, therefore, personalized information services for users can be provided and the accuracy can be assured.

The invention discloses a method for automatically upgrading a relational database application, comprising the following steps: creating a target version database structure; a database automatic upgrading system scanning and analyzing the source version database structure to obtain the source version database structure information; and automatically upgrading the database The system scans and analyzes the target version database structure to obtain the target version database structure information; compares and analyzes the source and target version database structure information to generate an upgrade strategy; executes the upgrade according to the upgrade strategy. The present invention automatically generates an upgrade strategy by automatically analyzing and upgrading the database structure of the source version and the target version, which truly and completely reflects the database information of the source version and the target version, and avoids the possibility of the upgrade tool and The information of the on-site version is disconnected, and the database upgrade and rollback between any versions can be completed conveniently and flexibly.

The embodiment of the invention provides a file transmission method, device and system and electronic equipment. The file transmission method can be applied to a sending end. The method comprises thesteps of by a preset transmission layer unreliable transmission protocol is adopted, sending data messages to be transmitted to a receiving end through a target interface, wherein the target interfaceis an interface which is determined when TCP connection is established between the target interface and the receiving end and used for transmitting files to be transmitted and the data messages to betransmitted comprise fragmentation data of the files to be transmitted, after it is determined that all the data messages to be transmitted are sent, acquiring fragment loss information, fed back bythe receiving end, of the files to be transmitted, determining to-be-retransmitted fragment data in the fragment data of the files to be transmitted according to the fragment loss information fed backby the receiving end, and sending the to-be-transmitted data message including the to-be-retransmitted fragmented data to the receiving end through the target interface by adopting the transmission layer unreliable transmission protocol. Through the scheme, the waste of network bandwidth resources can be avoided, and the network transmission efficiency is improved.

The invention is a method for making a three-dimensional visualization model of the internal structure of bone. In the method, a dry bone specimen is embedded and fixed by transparent polymethyl methacrylate (PMMA) to form a model specimen, and then the cross-section of the specimen is ground layer by layer, two-dimensional grayscale images and true color images are scanned and recorded layer by layer, and then three-dimensional medical reconstruction software is used to obtain high-precision three-dimensional visual model of a proximal bone structure. The invention can be applied to three-dimensional reconstruction of bones of human bodies and animals, thereby obtaining the high-precision three-dimensional visual model which can objectively, truly and completely reflect the proximal bone structure. The method can carry out certain evaluation on the structural form of bone trabecula as well as the connectivity of three-dimensional bone trabecular, and can determine the structural parameters of bone trabecular, thus providing scientific basis for medical research and clinical care.

The invention relates to a fingerprint spectrum detection method for meridian warming decoction. The method comprises the following steps: 1) preparing a test solution; weighing 1-2g of angelica sinensis, 1-2g of ligusticum wallichii, 1-2g of radix paeoniae alba, 1-2g of cinnamon, 1-2g of moutan bark, 1-2g of curcuma zedoary powder, weighing 3-4g of ginseng powder, 3-4g of liquorice powder and 3-4g of radix achyranthis bidentatae powder; adding 250-350mL of water, uniformly mixing, heating to boil with strong fire, slowly decocting with slow fire, filtering while the decoction is about 150-170mL, and adding water into the filtrate to dilute to 240-260mL; precisely sucking 8-12mL of the standard decoction of the meridian warming decoction, adding methanol to dilute to 40-60mL, sealing, weighing the mass, carrying out ultrasonic (the power is 180-220W and the frequency is 40-60kHz) treatment for 8-12min, standing overnight, weighing the mass again, supplementing the lost mass with methanol, uniformly shaking, filtering, and taking the subsequent filtrate, thereby obtaining the test solution; 2) detecting: taking and injecting 5-15 [mu]L of the test solution obtained in the previous step into a high performance liquid chromatograph, and obtaining a chromatogram; and 3) performing result judgment: comparing the chromatogram obtained in the previous step with a standard control fingerprint, and if the similarity is greater than 90%, the sample being qualified.

The invention discloses a compressed spectral imaging method based on nonlinear compressed sensing and dictionary learning, mainly to solve the problem that during a compressed sampling process in the prior art, a learned dictionary and sparse coefficients have negative values. The realization process comprises steps: signals in the original space are projected to feature space, a non-negative condition is introduced, and a non-negative kernel tracking algorithm and a non-negative matrix decomposition method are used for carrying out dictionary learning in the feature space; the learnt dictionary is used in a nonlinear compressed sensing model, and sparse coefficients are solved via the non-negative kernel tracking algorithm; and finally, a pre-image method is used for restoring the original signals. As is shown by an experimental result, under different sampling rates, compared with other existing dictionary learning methods, the reconstruction effects are the best, and the method can be used for capturing a remote sensing image.

The invention relates to a Uygur language phoneme-viseme parameter conversion method and system, and belongs to the technical field of voice-human face animation information processing. The method comprises the steps: adding 41 features and the visibility features of teeth and a tongue, carrying out the clustering of vowel mouth shape data, and obtaining a vowel basic static viseme set; respectively carrying out the clustering of consonants and mouth shape data combined with different vowels, and obtaining a consonant basic static viseme set; proposing a composite viseme concept based on the above, and building a Uygur language basic dynamic viseme set; giving a composite dynamic viseme model and a dynamic viseme model parameter estimation method based on a linear regression algorithm, thereby achieving the Uygur language phoneme-viseme conversion. According to the invention, the method carries out the text analysis of a to-be-converted Uygur language text according to the basic dynamic viseme set and the model parameters thereof, obtains a basic dynamic viseme sequence in the text, and can generate a human face and lip portion visual voice animation consistent with the content of the text.

The invention discloses a temporary building model establishing method based on three-dimensional GIS and BIM integration. The method comprises the following steps: establishing a BIM model; collecting three-dimensional GIS information; converting the three-dimensional GIS information by adopting a classification conversion method, and importing the three-dimensional GIS information into a BIM platform; integrating BIM model data and the converted three-dimensional GIS information, and establishing a three-dimensional integrated temporary building model on the basis of the BIM model data and the converted three-dimensional GIS information; using a BIM5D platform, importing various construction information into the BIM5D platform, simulating a construction process in combination with the three-dimensional integrated temporary building model, and establishing a 5D temporary building model based on the construction progress and a construction cost. According to the invention, three-dimensional GIS information is converted and then integrated with a BIM model, a three-dimensional integrated temporary building model based on the BIM platform is obtained, a construction process is subjected to 5D simulation in combination with construction information, and a construction scheme is dynamically adjusted according to a simulation result, so that the management capability of long-line and large-scale regional engineering is improved.

The invention provides a method for constructing the UPLC fingerprint of a Callicarpa nudiflora medicinal material, and a standard fingerprint of the Callicarpa nudiflora medicinal material, obtainedthrough the method. The method for constructing the UPLC fingerprint of the Callicarpa nudiflora medicinal material comprises the following steps: preparing a sample solution, and carrying out ultra performance liquid chromatography. The method has the characteristics of simplicity, easiness in realization of chromatography conditions, high precision, and goo stability and good reproducibility ofan analysis result; and compared with other test analysis methods in the prior art, the method in the invention has the advantages of shortening of the online analysis time and saving of the materialcost and the time cost.

The invention provides a method for constructing the UPLC fingerprint of Medicinal Rhizome and the standard fingerprint of Medicinal Rhododendron obtained by the method. The method for constructing the UPLC fingerprint of Medicinal Rhizome according to the present invention includes the steps of preparing the test sample solution and the step of ultra-high performance liquid chromatography analysis. According to the method of the present invention, the method is simple, the chromatographic analysis conditions are easy to realize, the precision is high, and the stability and reproducibility of the analysis results are better. Compared with other test and analysis methods in the prior art, the online analysis time is shortened and the Material cost and time cost.

The invention relates to a document processing method and device. The method comprises the following steps: carrying out voice conversion on characters in a document to obtain an audio corresponding to the document; under the condition that the document contains the image, determining a corresponding relation between the image and the character part in the document; determining the corresponding relationship between the character part in the document and the audio clip in the audio; determining the corresponding relation between the image in the document and the audio clips in the audio according to the corresponding relation between the image in the document and the character parts and the corresponding relation between the character parts in the document and the audio clips in the audio;and generating a target video corresponding to the document according to the audio, the image and the corresponding relationship between the image in the document and the audio clip in the audio. According to the document processing method and device, the image in the document can be prevented from being lost during document processing, so that the document processing result can completely reflect the document content, and the user requirement is met.

The invention relates to a determination method of a capsule fingerprint spectrum for dredging collaterals and reducing phlegm, which comprises the following steps: (1) test solution prepartion: taking capsule contents for dredging collaterals and reducing phlegm, adding methanol, carrying out ultrasonic extraction, filtering, and taking the subsequent filtrate to obtain the test solution; (2) preparation of reference substance solutions: taking tauroursodeoxycholic acid, gastrodin, sodium tanshinol, tanshinone IIA, salvianolic acid B, protocatechuic aldehyde, ginsenoside Rb1, ginsenoside Rg1,notoginsenoside R1, rheum emodin and rheinic acid reference substances which are dried under reduced pressure to constant weight, and respectively adding methanol to prepare the reference substance solutions; (3) determination: precisely measuring the test solution and the reference solution respectively, injecting the solutions into a high performance liquid chromatograph for determination, andrecording chromatograms; and (4) performing comparison according to the chromatogram and the standard comparison fingerprint, and determining that the product is qualified if the chromatogram and thestandard comparison fingerprint are consistent.

The invention discloses a lumbar kidney cream fingerprint spectrum establishing method and a lumbar kidney reference fingerprint spectrum. The fingerprint spectrum establishing method comprises the steps that (1) a sample is pretreated, wherein volatile components in lumbar kidney cream are absorbed by ethyl acetate to serve as a test sample for gas phase identification, water is added into the remaining cream, and the mixture is used as a test sample for liquid phase identification after being subjected to methanol ultrasonic extraction and liquid immersion; (2) gas phase analysis is performed on the test sample for gas phase identification to obtain a lumbar kidney cream gas phase fingerprint spectrum; and (3) liquid phase analysis is performed on the test sample for liquid phase identification to obtain a lumbar kidney cream liquid phase fingerprint spectrum. Through research about the lumbar kidney cream fingerprint spectra, a good lumbar kidney cream fingerprint spectrum is obtained, and a new technical method is provided for controlling the quality of the preparation.

The invention discloses a hierarchical load identification system and method suitable for a low-voltage transformer area, and belongs to the technical field of advanced measurement. The system comprises a meter box sensing layer and a transformer area sensing layer, wherein the meter box sensing layer comprises an intelligent Internet of Things electric energy meter and a secondary acquisition terminal; the intelligent Internet of Things electric energy meter is connected with a low-voltage user, collects power consumption data of the low-voltage user, performs fine-grained load identification on the power consumption data, and obtains state information of the low-voltage user; the secondary acquisition terminal receives the state information acquired by the intelligent Internet of Things electric energy meter and uploads the state information to a transformer area sensing layer; the transformer area sensing layer comprises a first-level acquisition terminal; and the first-level acquisition terminal receives the state information, performs data fusion and edge computing on the state information, acquires identification data, and performs load identification by using the identification data. According to the invention, full-state sensing of the low-voltage transformer area is realized through deployment of two layers of sensing terminals.