61 results about "Library searching" patented technology

An internet and / or intranet based database search system and method for conducting searches of highly confidential records such as individual patient medical records and to automate the process of securing required approvals to make such records available to a properly authorized and authenticated requesting party. The system's central premise is that the patient has a fundamental right to the confidentiality of their personal medical records and should control that right through specific, informed consent each time that a party requests to receive them. It reinforces the widely held conception of privacy in general as well as of the sanctity of the doctor / patient relationship by granting the doctor the right, subject to the patient's express permission, to initiate a search request. At the same time, it provides an expedited and cost-efficient means for transfer of such records as demanded by many healthcare reform proposals and gives the repositories where these records are held the right to stipulate the specific terms and conditions that must be fulfilled before they will release documents entrusted to their care, thereby substantially reducing the risk of litigation alleging breaches of patient confidentiality. And it carries out all of these legitimate interests in a way that is fast, simple to use and easy to audit. The system optionally includes a billing mechanism to pay for any added cost associated with providing this additional protection; and in its preferred embodiment, is applicable to both digital as well as non-digital records.

An indexer indexes a database of documents, and a search engine searches the database of documents. Nesting level information stored in index entries is used to identify, and match together, start and end meta words comprising fields at assorted nesting levels within a document. Based on a query specifying words to be found within fields, spatial criteria are applied to the identified meta words to determine if the specified words are found within the specified fields. A subset of the documents have nested fields, and each nested field has an associated start meta word and end meta word. Each meta word has an associated nesting level. Each document is indexed by parsing the document to determine locations within the document of words and meta words, as well as the nesting level associated with each meta word. An index is generated that has word entries, meta word entries, and generic meta word entries. The meta word entries indicate locations within the documents of an identified meta word, as well as the nesting level of the meta word. The generic meta word entries identify locations within the document of a class of meta words, including meta words at all nesting levels of the meta words within the document. For each identified location within the generic meta word entry, the generic meta word entry also includes nesting level information associated with the meta word at the identified location.

The invention relates to a method for optimization prediction of a power grid typical daily load. The method comprises the steps of forecasting the typical daily load of a power grid by using a fractal interpolation method; predicting the typical daily load of the power grid by a bidirectional clamping method; predicting the typical daily load of the power grid by a daily load rate library searching method; obtaining the average value of load values at the same time point of a typical daily load curve A, a typical daily load curve B and typical daily load curve C to form an optimized typical daily load curve; etc. The new scheme disclosed by the invention employs the three combined methods to conduct quantitative analysis and prediction of the load characteristics so as to provide a feasible power grid load prediction method.

A computer-implemented method and a computer readable memory for providing a user with database search results in response to search categories and filter criteria selected by the user, comprising the steps of: selection by the user of a search category to display; selection by the user of one or more filter criteria from the list of displayed filter criteria within the displayed search category; repetition of steps a) and b) until all desired filter criteria have been selected; search of the database by applying the selected filter criteria to produce a database search result; and selection by the user of a display mode for the database search result. According to another embodiment of the present invention, there is provided a computer program for instructing a computer to perform the methods described herein.

The present invention is a method of database searching. First, a language is selected and elements received. The system is searched to identify a unit number associated with each element, which is linked to a data unit containing morphological variants of the element. If none are identified, the element is broken into sub-textual units that may contain a prefix, compound-prefix, and / or suffix along with a primary element. A unit number is then obtained for the primary element. If this does not result in a match, the elements may be saved in a database for further linguistic development. A unit number associated with each matched element is then chosen, and the elements contained in the data units linked to the unit numbers are compared to a database index. If an element is associated with multiple unit numbers, this process is repeated until all data units have been compared to the database.

This invention discloses a Reverse Intensity Correction method for spectral library search to correct for instrument response without the side effect of magnifying the noise in the low responsivity region of test spectra. Instead of applying relative intensity correction to the sample test spectra to match the standardized library spectra, a reverse intensity correction is applied to the standardized library spectra to match the uncorrected sample spectrum. This simple procedural change improves library search performance, especially for dispersive CCD Raman analyzers using NIR excitations, where the instrument response often varies greatly across the spectral range, and SNR in the low responsivity regions is typically poor.

The present invention is a method of database searching. First, a language is selected. Next, elements are received. The system is then searched to identify at least one unit number that is associated with a chosen element, the unit number being linked to a data unit containing morphological variants of the element. If no unit number is identified, the element is compared to a prefix list. If no match is found there, the element is broken into a prefix and suffix, and the prefix and suffix are matched to a prefix list, suffix list or a unit number. This process is repeated for all elements. A unit number associated with each element is then chosen, and the elements contained in the data units linked to the unit numbers are compared to a database. The results are displayed and preferably ranked according to user preferences. If an element is associated with multiple unit numbers, this process is repeated until all data units have been compared to the database.

The invention discloses a method for establishing a quantitative reference range of a healthy human urine proteome and a database of a healthy human urine proteome. The method comprises the steps thata statistical quantity of healthy human urine samples are made into urine protein samples, protein species and quantification of each protein are determined by mass spectrometric detection, library searching and quantification to form urine proteome data, different urine proteome data is collected into different urine proteome sub-data sets and total data sets, and the quantitative reference range of the healthy human urine proteome is obtained by the data calculation of the data sets. The established quantitative reference range of the human urine protein in the healthy human urine proteomedatabase can better exclude interference from physiological fluctuations and inter-individual differential protein in the discovery of urine protein biomarkers.

The invention provides an addition method for infrared control of household appliances and relates to an infrared control technology. According to the addition method, a code library searching technology is adopted to optimize and accelerate the matching process, the first key of each set of codes is firstly tested in turns, and after the first set of codes passing the key testing is found, searching is conducted on other sets of codes which are not tested under the searching condition that the key code values are the same as the key code values in the set of codes passing the key testing, and the second keys in the sets of codes meeting the condition are tested. Therefore, the work of repeating the first key testing in all untested codes can be omitted, the number of the codes needing the second key testing can be decreased, accordingly the matching speed is remarkably improved, the matching process is simplified, and further user experience is improved.

The invention relates to an intelligent compact shelf and an automatic input and search method. By the adoption of the intelligent compact shelf and the automatic input and search method, information of files or books in the compact shelf can be input into a database rapidly after library searching, and the required file or book can be obtained from the intelligent compact shelf rapidly and accurately. According to the structures of shelf bodies in the compact shelf, spaces are reserved between the back portions of the shelf bodies. Two transverse sliding rails are transversely installed on a top wall board and a bottom wall board in the back-to-back spaces between the shelf bodies respectively, and transverse self-driving electric sliding tables are installed on the two transverse sliding rails respectively. The two ends of a longitudinal sliding rail are connected with sliding blocks in the two transverse self-driving electric sliding tables respectively, and the two transverse self-driving electric sliding tables synchronously drive the longitudinal sliding rail to move leftwards and rightwards along the X axis. A longitudinal self-driving electric sliding table is installed on the longitudinal sliding rail and moves up and down along the Y axis. Two two-dimension code scanning read heads or radio-frequency code scanning read heads are installed on one side of the longitudinal self-driving electric sliding table in a back-to-back mode through a fixing frame. The two two-dimension code scanning read heads or radio-frequency code scanning read heads installed on the longitudinal self-driving electric sliding table move transversely along with the longitudinal sliding rail and move along the X axis for scanning. The signal output ends of the two two-dimension code scanning read heads or radio-frequency code scanning read heads are both connected with the signal input end of a controller.

An approach for integrated development environment (IDE)-based program code library searching and selection in multiple programming languages in a networked computing environment is provided. In a typical embodiment, a search request (e.g., to locate a desired program code library) will be received in an IDE and parsed. The search request generally includes a set of annotations corresponding to at least one of: a primary program code language of the program code library, an alternate program code language of the program code library, or a method pair associated with the program code library. A search of at least one program code library repository will then be conducted based on the set of annotations, and a set of matching results will be generated. The set of matching results may include one or more program code libraries, and may be provided to a device hosting the IDE.

The embodiment of the invention relates to a data query method and device, electronic equipment and a storage medium, and relates to the technical field of big data. The method comprises: acquiring query request data; performing conversion processing on the query request data according to the type of the query request data to obtain a query statement for a database search engine; and obtaining a query result corresponding to the query request data in the database search engine through the query statement. According to the technical scheme, the efficiency and comprehensiveness of data query can be improved.

A search engine for providing intelligent or conversational responses to user queries into a digital building portfolio are disclosed. In embodiments, a search engine receives a user query and query context. The query and query context are processed and used to search into a vector database and knowledge graph database that are generated from data in the digital building portfolio. The results of the search are used to retrieve relevant data from the digital building portfolio, which are then summarized and used to generate an appropriate response. Other embodiments may be described and / or claimed.

This invention discloses a method for material identification by analyzing the LIBS spectrum of the sample. The LIBS spectrum is pre-processed to equalize the contribution of elements with strong and weak emission lines. In the meantime, the number of spectral variables is reduced to enhance the specificity and minimize the influence of instrument noise. Commonly used spectrum identification and library search algorithms are then applied to the pre-processed LIBS spectrum for material identification.

Systems and methods for mass spectrometry dynamic library searching are provided for use with mass spectrometer spectra. A composite spectrum is created from multiple spectra. The multiple spectra are collected at varying collision energies from a mass spectrometer. Dynamic searching algorithms are utilized for assigning a degree of importance to ions depending upon the identity of the ions, and for assigning a degree of importance to the ion ratios. A search is performed against a library of composite spectra that includes data for adduct, dimer, and oligomer ions. The systems and methods determine a match quality value that takes into account any or all ions in the spectrum along with the ions' ratios and degrees of importance.

The invention belongs to the technical field of medicinal material chemical component analysis, and particularly relates to a method for analyzing volatile components in blumea balsamifera. Accordingto the method, blumea balsamifera powder is taken as a material; a static headspace-gas chromatography-mass spectrometry method is adopted to analyze volatile components of the blumea balsamifera powder; after data processing is carried out through a chemical work station and an area normalization method, a percentage composition of each component is calculated from a total ion current chromatogram map; and qualitative analysis is carried out via NIST library searching according to a mass spectrum of each peak. According to the method, the static headspace-gas chromatography-mass spectrometrymethod is firstly adopted to analyze the volatile components in the blumea balsamifera, so that the deficiencies of past operation of carrying out analysis after extracting volatile oil through a solvent extraction method and a water vapor distillation method, and the constitution of volatile components in the blumea balsamifera samples can be reflected more really. Meanwhile, the method is smallin sample demand amount, does not use solvents, is environment-friendly, and can provide reliable basis for screening of medicine quality.

An approach for integrated development environment (IDE)-based program code library searching and selection in multiple programming languages in a networked computing environment is provided. In a typical embodiment, a search request (e.g., to locate a desired program code library) will be received in an IDE and parsed. The search request generally includes a set of annotations corresponding to at least one of: a primary program code language of the program code library, an alternate program code language of the program code library, or a method pair associated with the program code library. A search of at least one program code library repository will then be conducted based on the set of annotations, and a set of matching results will be generated. The set of matching results may include one or more program code libraries, and may be provided to a device hosting the IDE.

The invention relates to a method for determining and screening differential metabolites of laryngeal cancer serum based on an inverted phase chromatography time-of-flying mass spectrum. The method is characterized by comprising the steps of settling protein from serum by virtue of an organic solvent, namely methanol, carrying out centrifugation and vacuum centrifugal drying, redissolving the serum into 200 microliters of pure water, introducing the solution into an inverted phase chromatography time-of-flying mass spectrometer for determination, and carrying out peak alignment, correction and standardization, multivariate statistics analysis and spectrum library searching, so as to find differential metabolites in serums of laryngeal cancer volunteers and healthy volunteers. The method is a brand-new method for identifying the differential metabolites in the serum, and the variation conditions of the serum metabolites of laryngeal cancer patients can be reflected by the differential metabolites, so that the method will contribute to the diagnosis, clinic treatment and prognosis of the laryngeal cancer and the research of pathogenesis of the laryngeal cancer.

A method in a contact center for generating an action classifier model and use thereof in selectively initiating turn set queries of a knowledge base to assist agents in real time during ongoing conversations with customers. The method includes: generating an action classifier model; receiving classification data that classifies a first plurality of the customer actions found in training samples as belonging to a first action category for which a knowledge base search is deemed needed, and a second plurality of the customer actions as belonging to a second action category for which a knowledge base search is deemed not needed; and using the action classifier model and the received classification data to perform a query filtering routine for selectively initiating a turn set query for a present turn set occurring in an ongoing conversation between an agent and customer.

Known mass spectral data of a library of spectra corresponding to known compounds or known mass spectral data determined from a database of known compounds are compressed using a neural network encoder, producing a group of corresponding compressed known representations of known mass spectral data. Experimental mass spectral data of an experimental mass spectrum is compressed using the neural network encoder, producing a compressed experimental representation of the experimental mass spectral data. The experimental representation is compared to the group of known representations and each comparison is scored. At least one comparison with a score above a predetermined score threshold is selected. A known compound is determined from the selected at least one comparison. The known compound is identified as a compound of the experimental spectrum.

Disclosed is a system for real-time expression of a semantic mind map and its operation method there for. The system includes an association matrix and a focus associated operation module, the association matrix is connected to the focus associated operation module. The association matrix includes a start node, a direct associated module, an indirect associated module, a weakly associated module, a superscript module, or the like. The focus associated operation module includes a focused node and focus associated nodes, or the like. When the present disclosure is applied to a search engine including a cross-database search engine, a search result service interface is in real time expanded, thus being used to help a user better identify and discover relevant documents of interest.

The invention relates to the technical field of software migration, in particular to a Linux executable program migration method and device.The method comprises the steps that compatibility detection is conducted on system calling of a target ELF file, and gasket adaptation processing is conducted on incompatible system calling; performing dependency tree total analysis on the target ELF file, and identifying a dependency library required by the operation of the target ELF file; extracting an actual calling symbol list of each dependency library, comparing the actual calling symbol list with symbols of corresponding libraries on the target system, and collecting incompatible dependency libraries of the original system to an isolation directory; modifying a library search path when the target ELF file runs, so as to preferentially load an original system dependency library in the isolation directory; and finally, constructing a migration packet deployed to the target system, and carrying out adaptive migration verification on the migration packet. Compatibility and operation stability of the program in the target system are improved, only the software and the dependency library thereof are migrated, migration difficulty is reduced, and the migration process is accelerated.

The invention relates to a picture library search method, a terminal and a computer storage medium, and the picture library search method is applied to the terminal and comprises the following steps:receiving input content of a chat interface; searching pictures of which the picture contents are associated with the input contents in a picture library; and displaying the chat content to be sent according to the searched picture. By means of the mode, the pictures can be directly searched for in the picture library for use according to the content of the pictures in the chat process, and the method is faster and more efficient.

The present disclosure relates to defining and processing hardware description language (HDL) groups. Embodiments may include mapping, using a processor, a set of tool-specific objects into a group graph with one or more groups. Embodiments may also include generating a search order associated with each group. The search order associated with each group may be based upon the hierarchical design configuration of the group graph. Embodiments may further include identifying undefined references from within a first group within the group graph and binding defined references from within the first group to electronic circuit design components. Embodiments may include identifying the undefined references from within a second group within the group graph. The second group may be selected based upon the undefined references and the search order associated with the first group.

The invention discloses an application recommendation processing method and device so as to improve application recommendation precision. The method comprises the following steps: determining classification labels of historical search applications and historical download applications of a user; determining overlapped classification labels according to the classification labels of the historical search application and the historical download application; selecting a target classification label from the overlapped classification labels according to a preset label selection mode; searching a plurality of applications corresponding to the target classification tag from an application general library to serve as recommended application groups; removing applications containing rejected classification labels from the recommended application group to obtain a target recommended application group, wherein the rejected classification labels are classification labels corresponding to historical unloading applications of the user; sorting the applications of the target recommended application group according to a preset sorting mode; and performing application recommendation according to the sorted applications of the target recommendation application data set.

Disclosed is a system for real-time expression of a semantic mind map and its operation method there for. The system includes an association matrix and a focus associated operation module, the association matrix is connected to the focus associated operation module. The association matrix includes a start node, a direct associated module, an indirect associated module, a weakly associated module, a superscript module, or the like. The focus associated operation module includes a focused node and focus associated nodes, or the like. When the present disclosure is applied to a search engine including a cross-database search engine, a search result service interface is in real time expanded, thus being used to help a user better identify and discover relevant documents of interest.

A high frequency electronic component database search system is described. The system is designed to allow rapid online searches for a variety of types of components, each type of component present in considerable variety within the database, and each individual component having a volume of parametric and physical data. Search functions include entering a mixture of required and optional parameter values and parameter value ranges, and prioritizing one or more search parameters to improve data matching. Output options from the search system include a comprehensive range of presentations of tabular, graphed and mechanical data.

A method in a contact center for generating an action classifier model and use thereof in selectively initiating turn set queries of a knowledge base to assist agents in real time during ongoing conversations with customers. The method includes: generating an action classifier model; receiving classification data that classifies a first plurality of the customer actions found in training samples as belonging to a first action category for which a knowledge base search is deemed needed, and a second plurality of the customer actions as belonging to a second action category for which a knowledge base search is deemed not needed; and using the action classifier model and the received classification data to perform a query filtering routine for selectively initiating a turn set query for a present turn set occurring in an ongoing conversation between an agent and customer.

The invention relates to a method for optimization prediction of a power grid typical daily load. The method comprises the steps of forecasting the typical daily load of a power grid by using a fractal interpolation method; predicting the typical daily load of the power grid by a bidirectional clamping method; predicting the typical daily load of the power grid by a daily load rate library searching method; obtaining the average value of load values at the same time point of a typical daily load curve A, a typical daily load curve B and typical daily load curve C to form an optimized typical daily load curve; etc. The new scheme disclosed by the invention employs the three combined methods to conduct quantitative analysis and prediction of the load characteristics so as to provide a feasible power grid load prediction method.