51 results about "Temporal expressions" patented technology

An event extraction system includes a temporal module which extracts temporal expressions in text content of an electronic mail message. A calendar entry generation module generates a candidate calendar entry based on an extracted temporal expression and presents it to a user for consideration as a calendar entry. The candidate calendar entry can be displayed in a transient pop up window, allowing a user to ignore the candidate entry or to accept it.

An apparatus and method identifies, handles, and/or searches for email messages that include references to dates and/or times, regardless of the syntax or context in which the dates and/or times are expressed in the document. Each incoming document is searched for date-time expressions which may be converted into a canonically formatted date and stored for subsequent comparison to other date-time expressions. In some embodiments of the invention, a mechanism is provided for creating a calendar event from the date-time expression in the document. In some embodiments of the invention, a calendar icon indicates whether a document includes a date-time expression. In some embodiments of the invention, documents that include a date-time expression corresponding to a particular date may be retrieved.

A collaborative event scheduling method and system are provided which allow participants and an event initiator to interact with a scheduler in a natural language form. Participants provide a respective availability announcement, which is processed to generate a representation of the user's availability within a time window specified for the event by the initiator. This includes extracting a temporal expression from the availability announcement, normalizing, if the temporal expression is determined to be referential, identifying an availability modality for each extracted temporal expression from a set of availability modalities. The generated representation is output for establishing a suitable time for the event within the time window based on the availability announcements of the participants.

A method for extraction of events includes performing linguistic processing on a collection of text documents to identify predicates and respective arguments of the predicates and performing temporal processing on the collection of documents to normalize referential dates. A query is received which includes a topic and date information which defines a date range. A collection of excerpts from the collection of documents is identified, each excerpt including an argument which is based on the topic and a normalized reference to a date which matches the defined date range. A plurality of sets of events in the collection of excerpts is identified, each set of events including a plurality of the excerpts in the collection that are linked together by entailment relationships.

A system and method for enabling the behavior of temporal expressions to be analyzed for the evaluation of such expressions. The process of evaluating such expressions ultimately results in the construction of a finite state machine, such that the set of non-deterministic functions for describing the behavior of dynamic and relativistic systems is reduced to such a system. The behavior of the finite state machine can then be examined and analyzed. The present invention is useful for such applications as the examination of the temporal behavior of a DUT (device under test), as well as for examining the behavior of dynamic systems.

The invention discloses a method for extracting clinical medical information based on a neural network. Generally, a medical text has much professional vocabulary, uncommon vocabulary and time expressions composed of numbers and characters, but character vectors obtained by a convolutional neural network may contain the morphological information of words, so the problem can be solved very well. Further, a bidirectional LSTM can capture context information well. In addition, the method of using the neural network avoids a process of artificially designing features in machine learning, and can well solve domain adaptation. The method of the invention achieves good results in different data fields, and can extract information with practical values and research significance from massive medical data efficiently and accurately.

The invention discloses an extraction method aiming at a Twitter text event and mainly includes the following steps: step 1, collecting tweet data from a Twitter platform and saving the data into a database; step 2, carrying out duplicated data deleting and text preprocessing; step 3, carrying out event message identification and joint moment extraction, including event message identification based on trigger word matching, time expression identification, toponym entity identification based on lexicon, entity extraction based on lexicon and activity theme extraction. The invention uses the event factor extraction method based on rules, and for each event, marks its event factors, which mainly are event occurrence time, place, entity and activity theme, and makes event extraction to the tweets collected more accurately and realizes fast detection and finding of the event.

A translation module translates a temporal description into a temporal expression. The translation module is adapted to translate a temporal description in the form of an extended syntax or a preprocessing macro to the temporal expression. The temporal expression includes a native expression of a general purpose programming language. The temporal expression may also include one or more construct functions. A parsing module parses the temporal expression to generate a data structure that represents the temporal expression without evaluating the native expression. An evaluation module evaluates the data structure to execute the temporal expression including the native expression.

The invention discloses a gearbox fault detection method based on flexible time-domain averaging. The gearbox fault detection method comprises the steps of: 1, adsorbing an acceleration transducer on a bearing end cover of a gearbox to be detected; 2, acquiring vibration signals of the gearbox through data acquisition equipment to solve a frequency-domain discrete sampling value of the vibration signals; 3, calculating a continuous time expression of time-domain averaging; 4, converting the continuous time expression into a trigonometric function expansion form; 5, weighting ak to realize filtering, de-noising and order information extracting for the time-domain averaging; 6, carrying out discrete sampling to obtain average sequences of discrete time domains; and 7, observing periodical impacts occurring in the sequences obtained in 6, and judging the type and the severity of a gearbox fault. According to the invention, truncation errors are inhibited effectively, and the advantages of increasing the resolution ratio of the signals and increasing the detection efficiency for the gearbox are achieved while a de-noising effect is achieved.

The invention relates to a conjoined grafting method for plant meristem. The conjoined grafting method for the plant meristem is characterized in that the conjoined grafting method through meristem between different phylum, klasse, order, family, genus and species of plantae is provided, and the conjoined grafting method comprises an apcial meristem, a lateral meristem and an intercalary meristem. The meristem possesses massive reversible gene regulatory networks and spatial and temporal expression opportunities due to the fact that the meristem has high cell division ability and is a key tissue of organogenesis and morphogenesis and a starting point of organ and tissue differentiation. Therefore, conducting moderate manual injury intervention and conjoined grafting on the meristem can greatly increase opportunity of successful grafting, and enlarges boundary capable of being conducted grafting between different phylum, klasse, order, family, genus and species of the plantae. Due to the fact that scion and rootstock whole plant are not separated, bud mutation and fructification are promoted to obtain grafting progeny seeds, exchanging and changing of part genetic materials of grafting progeny can be achieved, and consequently, low coat and safe material exchanging of extra distant species of the plantae can be achieved, variation is induced, and then a new germplasm of a scion plant is created.

The invention discloses an interactive management system for C# interface data. The system comprises a task management module, a task scheduling module and a task execution module, wherein the task management module is used for configuring tasks to obtain task description information, registering an interface address which is pre-sent to a third-party system, and injecting first task realization types, corresponding to the tasks, in an application system into an IOC container of the task scheduling module; the task description information comprises first task keywords and a time expression; the task scheduling module is used for determining and obtaining a to-be-sent task according to the time expression, and obtaining the first task realization type of the to-be-sent task from the IOC container according to the first task keyword of the to-be-sent task, and obtaining and sending corresponding first task data from the application system according to the first task realization type of the to-be-sent task; and the task execution module is used for receiving the first task data and sending the first task data to the third-party system corresponding to the interface address through a uniform agency type. The system is convenient for interface management so that the workability and maintainability of the system are improved.

The invention discloses a designing method for a recursion integration terminal sliding mode surface of a higher-order non-linear system. The method comprises steps of by use of the Lie derivative, arranging a general higher-order multi-input multi-output nonlinear system into a general high-relative degree non-linear system; designing a non-singular integration terminal sliding mode surface basedon a recursion method for the general high-relative degree non-linear system; and finally, based on the designed non-singular integration terminal sliding mode surface, giving out an exact time expression whose states are converged to the zero point. According to the invention, by introducing an integration equation, the integer orders and a recursion designing idea, a singular value problem in the design of the traditional terminal sliding mode is well avoided. A novel design idea is provided for terminal sliding mode control of the higher-order multi-input multi-output nonlinear system. Compared with the general limited time terminal sliding mode, by introducing high-power items, fixed time convergence is achieved, so dependence on system state values when a system track reaches the sliding mode surface is avoided.

The embodiment of the invention provides an object feature information acquisition method and device, object classification method and device and information pushing method and device. When the feature information of an object is determined, a plurality of neighbor nodes of a first node are respectively determined from N relational networks at N moments, so that N neighbor node groups can be obtained; spatial aggregation features of the first node at each moment is determined based on the neighbor node group corresponding to each moment and the node feature of the first node; the N spatial aggregation features at the N moments are inputted into a sequence neural network sequentially according to a time sequence, N spatial-temporal expressions of the first node at the N moments can be obtained respectively; and the N space-time expressions are aggregated, so that the space-time aggregation feature of the first node can be obtained and is adopted as the feature information of a first object represented by the first node.

The invention provides a method for recognizing short text time expression of English social media based on a constraint model, which belongs to the field of text time information extraction. Aiming at the problem that the features of the existing identification method are not pertinent to the time expression and the number is small, the invention constructs the feature set from three aspects of the word structure, the grammatical structure and the combined features, so that the precision of the machine learning model for the time expression is greatly improved; as that condition random fieldshare the transfer characteristics in the solution proces, resulting in an inaccurate identification of the boundaries of the time expression, in the process of solving, the feature set of the extracted current position is used to modify the transfer feature of the current position, and the method of constrained random field is proposed to solve the problem, so as to improve the accuracy of the identified time expression and make the boundary recognition of the time expression more accurate.

The invention discloses a method for diagnosing an open-circuit fault of a three-phase inverter. The method comprises the steps of obtaining A, B and C three-phase output current data through a current transformer, and listing out a time expression of three-phase output currents; converting the time expression of the three-phase output current into a space track expression under a space rectangular coordinate system; drawing a space track graph according to the space track expression; and performing retrieving in an existing fault space track graph set by using the space track graph, and if aset item in the existing fault space track graph set matched with the space track graph is retrieved, outputting a fault type corresponding to the retrieved set item as a diagnosis result. The methodrealizes the function of performing measurement through the current transformer to obtain the A, B and C three-phase output currents of the inverter and diagnosing the open-circuit fault condition ofthe three-phase inverter by utilizing the three-phase output currents, and has the advantages of no need of performing circuit transformation on the three-phase inverter, convenience, quickness, accuracy and the like.

The invention relates to an African agapanthus flowering gene ApFT protein and coding gene and probe thereof, and the protein is the protein (a) or (b): (a) protein composed of the amino acid sequence shown in the SEQ ID NO.4; (b) protein derived from protein (a) which prepared by replacing, deleting or adding one or more amino acids of the amino acid sequence shown in the SEQ ID NO.4 and has the African agapanthus ApFT activity. The invention also provides a nucleic acid sequence coding the protein above and a probe for detecting the nucleic acid sequence; the spatio-temporal expression characteristics of the African agapanthus flowering related gene ApFT can be regulated by using the gene engineering technology, thereby providing a theory basis for changing the florescence regulation and control technology with high application value.

Embodiments of the present disclosure resolve natural language temporal expressions into temporal values via a temporal expressions processor that parses a given temporal expression into one or more semantic parses, selects an optimal semantic parse and resolves a value for the optimal semantic parse. The temporal values may pertain to one or more calendar dates, one or more calendar periods, one or more clock times, a clock time period and/or a combination of the above.

The invention discloses a tulip glutathione S-transferase TfGST protein and an encoding gene thereof. The protein is a protein consisting of an ammonia acid sequence represented by SEQ ID NO.2 or a protein which is obtained by substitution, deficiency or adding of one or several ammonia acids on the ammonia acid sequence represented by SEQ ID NO.2 and has the activity of tulip glutathione S-transferase. The invention also provides a nucleotide sequence which is represented by SEQ ID NO.1 and is used for encoding the protein. A theoretical basis is supplied to regulation and control on the color of the a tulip by regulation and control on the spatio-temporal expression characteristic of a TfGST gene of the tulip through a gene engineering technology; the tulip glutathione S-transferase TfGST protein and the encoding gene have actual application value.

The invention relates to a spatio-temporal data dynamic evolution diagram generation method for public security events and a dynamic evolution system thereof. Compared with the prior art, the defect that data cannot be visually displayed through theoretical analysis of public security event data is overcome. The method comprises the following steps: mining spatio-temporal data; preprocessing the public security spatio-temporal object data; setting a public security event spatio-temporal sequence; and constructing a spatio-temporal data dynamic evolution diagram. According to the method, a bigdata semantic analysis technology and a grading spatio-temporal expression method based on spatio-temporal objects are utilized, grading construction is carried out on the spatio-temporal process of the public security event, a spatio-temporal data dynamic demonstration diagram is generated through a graph theory, and therefore the spatio-temporal evolution relation between the public security event objects is visually expressed.

The invention discloses a regulation and control research method of cell cilium transportprotein 80 in rapid maxillary expansion mechanical biological signal transduction. The method comprises the following steps: a, establishing a rapid maxillary expansion mouse animal model; b, establishing IFT80 gene silence osteoblast; c, establishing an in-vitro stretching culture osteoblast model; d, establishing a co-culture model of osteoblast and osteoclast; e, carrying out in-vivo transfection experiment; f, confirming a relationship of IFT80 spatio-temporal expression and rapid maxillary expansion midline palatine suture bone remolding; g, confirming regulation and control mechanisms of IFT80 upon proliferation and differentiation of in-vitro stretching cultured osteoblast, primary cilium formation and mechanical biological signal transduction; h, confirming influence of IFT80 gene silence upon in-vitro stretching cultured osteoblast in regulating functions of osteoclast. The method has great instruction significances for treating such malocclusion.

The invention relates to a tulip chalcone synthase TfCHS protein, and a coding gene and a probe thereof. The protein is (a) or (b) as follows: (a) a protein composed of an amino acid sequence shown as a SEQ ID NO.4; and (b) a protein obtained by substitution, deletion or addition of one or several amino acids on the amino acid sequence shown as the SEQ ID NO.4, having tulip chalcone synthase activity and derived from (a). The invention also provides a nucleic acid sequence encoding the protein, and the probe to detect the above nucleic acid sequence. The invention provides theoretical basis for regulation of spatio-temporal expression characteristic of the TfCHS gene of tulip for color change and color innovation by using a genetic engineering technology, and has important application value.