151 results about "Procedural generation" patented technology

An interactive directed beam system is provided. In one implementation, the system includes a projector, a computer and a camera. The camera is configured to view and capture information in an interactive area. The captured information may take various forms, such as, an image and/or audio data. The captured information is based on actions taken by an object, such as, a person within the interactive area. Such actions include, for example, natural movements of the person and interactions between the person and an image projected by the projector. The captured information from the camera is then sent to the computer for processing. The computer performs one or more processes to extract certain information, such as, the relative location of the person within the interactive area for use in controlling the projector. Based on the results generated by the processes, the computer directs the projector to adjust the projected image accordingly. The projected image can move anywhere within the confines of the interactive area.

Methods of playing games of chance and gaming devices and systems comprising a display of a plurality of symbols where at least one symbol may be interchanged with another symbol of the plurality of symbols. After a combination of symbols is randomly generated and the results are displayed to a player, the player may have the opportunity to interchange at least one displayed symbol with another symbol in order to configure a more advantageous symbol arrangement. Interchanging may include transposing, sliding, or moving one or more symbols that are generated by way of a random process. Furthermore, interchanging may include a slide game or wraparound type movement of symbols or trading a symbol for another symbol provided by an exterior source. Additionally, the interchanging opportunity may be limited by way of constraints applied to movement of the symbols, time for interchanging, or other criteria, and may be conditioned on placing an additional or side bet.

Methods are presented for generating a natural language model. The method may comprise: ingesting training data representative of documents to be analyzed by the natural language model, generating a hierarchical data structure comprising at least two topical nodes within which the training data is to be subdivided into by the natural language model, selecting a plurality of documents among the training data to be annotated, generating an annotation prompt for each document configured to elicit an annotation about said document indicating which node among the at least two topical nodes said document is to be classified into, receiving the annotation based on the annotation prompt; and generating the natural language model using an adaptive machine learning process configured to determine patterns among the annotations for how the documents in the training data are to be subdivided according to the at least two topical nodes of the hierarchical data structure.

The present invention provides a method and a system for a real-time configurable definition and generation of grating profile libraries. A parameter set is used to specify the ranges of grating dimensions and resolutions of the profile library to be generated. In one embodiment, a compiler creates subsets of a large profile library, the subset designed to enable rapid search and validation of real-time data. In another embodiment, an automatic process generates a new parameter set and a new subset of the library when trigger conditions are met. Subsets of the profile library may be used to check if grating spectrum data are within the ranges established for an application and if the dimensions are within the process averages established for a manufacturing run. The system for generation of grating profile libraries is scalable, operable in a distributed environment, and includes application specific items that can be selected or determined by the client.

Techniques for parsing rule creation are provided. A technique for constructing one or more message parsing rules may comprise the following steps. First, message data representing past messages, for example, associated with a network, an application and/or a system being analyzed, is obtained. For example, this may involve reading the past or historical message data from messages logs or having a system point to the message data in existing data storage. Parsing rules are then generated by a process from one or more existing rule templates and/or based on user selection and classification of at least a portion of a message. For example, the user may choose a message part and demonstratively classify the part, for example, as a positive or negative example. The generated rules may then be stored for access by a rule-based parsing system such as a message adaptation system. Prior to generation of the one or more parsing rules, a message structure may be established upon which generation of the rules may be based.

Metadata for a programming event may be generated through an interactive process. A system may receive data corresponding to a programming event. The data may include descriptive information and timing information. The system may then generate preliminary metadata for the programming event from the received data. The system may provide the preliminary metadata to a system user, and then receive user specified metadata responsive to the preliminary metadata. The preliminary metadata may include one or more of categories of a classification hierarchy, goodness of fit scores associated with the categories, keywords, goodness of fit scores associated with the keywords, and a title. Related embodiments may pertain to a system implementing such methods. Further related embodiments may pertain to methods and systems in which a system user is enabled to approve preliminary metadata provided by the system.

A grammar generation process generates a voice recognition grammar for interpreting search queries of a domain of items. The grammar comprises both single-term and multi-term utterances derived from the texts of the items (preferably the item titles). The utterances are derived in-part by expanding phrases selected from the item text into their individual terms plus all forward combinations of such terms. The forward combinations and individual terms that are deemed not useful to the search process are filtered out of the grammar. The process tends to produce a grammar containing the utterances that are most likely to occur within voice queries for the items, while maintaining a grammar size that is sufficiently small to provide reliable voice recognition.

A computer implemented method, apparatus, and computer usable program product for predicting an occurrence of a workplace accident. The process monitors current event data derived from a continuous video stream. The current event data comprises metadata describing events occurring at a workplace. The process then compares the current event data with previous event data that describes a set of previous events associated with a previously identified workplace accident. In response to detecting events in the current event data corresponding to at least one event in the set of previous events, the process generates a notification identifying a potential occurrence of the workplace accident.

This Application relates to a system, method and computer software code for the timely and accurate self management by workers and employees of their own reporting of task related statistical data and information to their contractors and employers. This is a labour and service management system utilizing a “cloud based” server, and a portable “Smartphone” computing device that is in continual communication with the server by way of the wireless facility of the telecom service provider to the individual worker/employee, the effect of which system is that each worker or employee has his or her own individual mobile GPS enabled “punch clock” device. Both the server and the Smartphone contain computer readable software code. Additionally, this system supports custom interfaces between the contractor/employer and the worker/employee, and a wealth of management information in custom report formats. Taken together, the hardware and the software parts of the System create a worker self management process, which generates, connects and transforms raw data and information for the benefit of both the worker/employee, and his or her contractor/employer.

A system for programming automation by demonstration where a control program may be created or modified through the process of demonstrating desired behavior using graphical representations (or widgets) of physical, programming, and user interface elements. Widgets have state, or properties, and may also have inherent events associated with them or indirect events that are generated through the demonstration process. The general process of demonstration consists of providing several individual example behaviors. Complete behavior, and thus the resultant code, is generated through inferencing from a number of individual example behaviors. The process of programming automation by demonstration reduces the complexity of the programming task and thereby greatly simplifies the workload of the control programmer, allowing the programmer to concentrate more on the specific automation application at hand rather than on the particulars of the programming language or tools. The invention may be applied to a wide range of automation applications, from home and building automation to industrial automation, and may be practiced by novice and expert-level users.

A computer implemented method, an apparatus, and a computer program product for spellchecking an electronic document. In response to receiving the electronic document, the process parses the electronic document for a set of non-standard words that are absent from a dictionary used by a document editing program. In response to locating the set of non-standard words in the electronic document, the process generates an index that includes, but is not limited to, the set of non-standard words. The process then reviews the electronic document for spelling errors using the generated index.

Techniques for maintaining data quality of transformed data generated using an Extract-Transform-Load (ETL) process and stored in at least one data warehouse, the method comprising generating a quality metric for each of a plurality of units of the transformed data with reference to at least one data quality measurement rule, the quality metric for each unit of the transformed data representing a validity measure defined by the corresponding data quality measurement rule; and generating a report organizing the quality metrics for selected units of the transformed data.

A system and method for the automatic, procedural generation of musical content in relation to biometric data. The systems and methods use a user's device, such as a cell phone to capture image data of a body part, and derive a biometric signal from the image data. The biometric signal includes biometric parameters, which are used by a music generation engine to generate music. The music generation can also be based on user-specific data and quality data related to the biometric detection process.

Computer-implemented processes for allowing a user with limited technical knowledge to easily design 3D models. The 3D models generated by such processes may be 3D printed, as the models are solid, which is necessary for 3D printing. Each of these computer-implemented processes takes a small amount of simplified user input and generates one of a number of different 3D models. More specifically, based on the user input, the computer-implemented processes automatically generate CAD primitives, and automatically perform certain CAD operations on those primitives, such that a 3D model is generated.

The invention prevents improper deletes of file system objects during rescan synchronizations of local and remote (cloud) file systems. File and folder deletes are validated (confirmed) during a rescan synchronization using events generated for a steady state synchronization process. Any improper deletes are fenced and not allowed to proceed during synchronization. A method for synchronizing local (LFS) and remote (RFS) file systems includes monitoring the LFS for changes, generating a first set of events as part of a first synchronization routine (e.g., a steady state synchronization routine), generating a second set of events as part of a second (rescan) synchronization routine, validating selected events of the second set with events of the first set to determine whether each of the selected events of the second set is valid or invalid, and synchronizing the file systems based on the events of the second set excluding those that have been invalidated. Storage systems are also disclosed.

Apparatus, computer instructions and method for processing seismic data related to a subsurface of a body of water. The method includes inputting data indicative of recordings made by detectors provided on a curved profile in response to an acoustic wave reflected from the subsurface; applying a matched mirror migration procedure to the data, where (i) actual positions of the detectors on the curved profile and corresponding recordings, and (ii) fictitious mirror positions of the actual detectors on the curved profile and corresponding recordings with a changed sign are added in the matched mirror migration; and generating a final image of the subsurface based on the matched mirror migration procedure.

A computer-implemented method for generating a threat classifier is described. A parameter collection module is distributed to a plurality of client processing systems. The module comprises a set of rules to detect a behavior in the client processing systems. If one or more of the set of rules are satisfied, input data indicative of a plurality of client processing parameters is received. The input data is scaled to provide a plurality of parameter vectors. Each of the parameter vectors are classified as a threat or a non-threat. A machine learning process is performed on at least one of the classified parameter vectors. The threat classifier is generated from the machine learning process. The threat classifier is transferred to at least one client processing system. The threat classifier is configured to automatically determine if a process to be performed in a client processing system is malicious.

A method and system for monitoring and fine tuning a business process are disclosed. A system for monitoring and fine tuning a business process, according to an embodiment of the invention, includes a process cost definition engine to generate and define a cost definition, or function, for each sub-process that is part of a business process. The system may also include a process cost calculator for calculating the cost for each sub-process that is part of a business process, based on the cost function associated with the sub-process. The system may also include a display engine to display various views and communicate data generated by the system to various users of the system.

A computer-based method for generating vegetation such as 3D models of trees. The method includes providing in memory a template with model growth rules. A computer processor positions a seed particle in a location in digital 3D space. The base particle is associated with a set of attributes stored in the memory, such as attributes or values provided in the template. A generator module generates the tree model (e.g. a particle system) using a particle-based growth process starting with the seed. The particle growth includes iteratively generating additional particles and also includes gathering environmental data regarding the 3D space for the particles. Then, the method includes determining a move direction for each particle based on the growth rules evaluated with the environmental data The particles are moved to new positions using the move direction, and these steps are continued through time steps to create the tree model.

A programming editor and creator allows users with minimal knowledge of a computer language syntax to generate computer source code using a structured rather than freeform process. A predefined command sentence is provided representing at least a portion of a programming command, and includes words, which may be defined as constant or enterable words. Enterable words may be required or optional, and correspond to entry components. Each word may be defined according to word types, including list words, variable list words, variable words, mathematical words, condition words or Boolean words. Enterable words may include repeatable words which may be inserted multiple times within a command to create conditional statements, mathematical equations and string concatenations. Input values are provided for the entry components. The predefined command sentence with the input values is converted to a completed command sentence corresponding to the programming command, which is translated to a target programming language.

A method, a computer program product, and a system for generating and applying patches to a computer program concurrently with its execution. It provides full support for function pointers, transparent to the programmer and nearly transparent to the concurrent loader. A reference to a function pointer is translated into a sequence of processor instructions called function descriptor instead of translating it into an address. The purpose of the function descriptor is to jump to the memory location of the sequence of instructions generated by the compiler for the procedure referenced by the function pointer. The function descriptor is masked as a static data variable and therefore preserved during the application of a concurrent patch. The address for the jump to the procedure is updated by the regular relocation process during the application of a concurrent patch.

Normalized data models are programmatically generated from a combination of product configuration model data, product configuration engine runtime validation, normalized data mappings, and settings files declaring the scope of model content. A master model generation process effectively transforms conventional configuration data into normalized configuration data. The normalized configuration data allows a user to, for example, conduct comparative product configurations. In one embodiment, a normalized model generation process generates normalized data model representing attributes and normalized features of a product. In one embodiment, the normalized configuration data model is then added to in-memory data structures used during runtime contextual configuration analysis, thus reducing the total number of data items preserved as efficiencies result from eliminating duplication and effective use of search structures. In-memory representation of the normalized configuration data model can then be serialized to disk as a file to be loaded for runtime use in a deployment.

A method for generation of a control code set for a manufacturing process includes generating a list of sequences of operations with an automatic sequence of operations generator, selecting an optimized sequence of operations from the list of sequences of operations, and utilizing the optimized sequence of operations to generate the control code set.