929results about How to "Effective evaluation" patented technology

The design, internal data representation and query model of the invention, a hierarchical distributed caching system for semi-structured documents based on LDAP technology is presented that brings both, the semi-structured data model and the LDAP data model together into a system that provides the ideal characteristics for the efficient processing of XPath queries over XML documents. Transformation algorithms and experimental results have also been shown that prove the feasibility of the invention as a distributed caching system especially tailored for semi-structured data.

Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, and provide results of the automated analysis in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria or rules so as to generate a compact, human-readable analysis of the data clusters. The human-readable analyses (also referred to herein as “summaries” or “conclusions”) of the data clusters may be organized into an interactive user interface so as to enable an analyst to quickly navigate among information associated with various data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation. Embodiments of the present disclosure also relate to automated scoring of the clustered data structures.

A system and method for providing a clinical summary of patient data in a health care setting. The system and method comprises a graphical user interface in communication with a health information system for accessing patient data. The graphical user interface is capable of displaying a clinical summary of patient data in a summary window in a textual format and a graphical format. The system and method further comprises a user record allowing a user to specify and configure the patient data displayed in the summary window. The user record includes configuration and security settings for selectively controlling the display of the user-specified patient data, and a user can select from the displayed patient data, access additional information about the selected patient data, generate detailed reports including the selected patient data, and generate graphical representations including the selected patient data.

Various embodiments relate to systems and methods for simultaneously switching input image streams to output devices, while providing optional image processing functions on the image streams. Certain embodiments may provide vision systems and methods suitable for use in vehicles, particularly windowless vehicles, such as armored ground vehicles, submerged watercraft, and spacecraft. Some embodiments may enable sharing of image streams (e.g., with one or more other vehicles), generation of panoramic views (e.g., from various camera feeds), intelligent encoding of image streams, and implementation of security features based on image streams.

Currency and consistency requirements are specified as part of a query against a database that may contain replicated data that is updated asynchronously and therefore may not be completely up to date. The database system constructs query execution plans that include an input selection operator that verifies the currency of a replica and selects a subplan using the replica for execution only when the replica meets the query's currency constraints. It checks possible query execution plans at construction time against the query's consistency constraints and any plans that may produce a result not meeting the consistency constraints are rejected. In this way, the query result is guaranteed to satisfy the query's currency and consistency requirements.

An anomaly detection engine monitors network traffic to detect orders placed by users from an electronic catalog of items, aggregates data about the detected orders by time period, and analyzes the aggregated data to detect anomalies in activity levels associated with specific items in the catalog. To detect whether an anomaly exists in the activity data associated with a given item, a forecasting algorithm, such as an exponential smoothing algorithm, is used to generate an expected order volume for a current time period, and the expected order volume is compared to an actual order volume. Other criteria may also be taken into consideration. If an anomaly is detected, such as a sharp increase in the item's order volume, the anomaly detection engine generates an alert message to notify a catalog administrator, who may then determine whether the anomaly is attributable to an erroneous item description in the catalog.

An apparatus for evaluating a cross section of a specimen in a specimen chamber wherein the apparatus comprises a specimen stage for placing the specimen, temperature regulation means for regulating the temperature of the specimen, ion beam generation means for irradiating the specimen with an ion beam thereby performing cross section processing and observation of the specimen, detection means for detecting emission signals emitted from the specimen in response to the irradiation of the ion beam for observing the specimen and marking means for marking the specimen.

The methods, apparatus, and systems described herein facilitate making hiring decisions. The methods include identifying keywords associated with one or more categories relevant to a job position, receiving the candidate's answers to interview questions, reviewing the answers for the identified keywords, and outputting a score for the one or more categories based on a density of the keywords in the answers.

The efficiency and versatility for the implementation of formulas in an on-demand database is improved. Formulas are categorized. Based at least partly on the categorization, formulas are evaluated synchronously or asynchronously. An asynchronous evaluation may be performed if a certain set of criteria is not satisfied. Asynchronous evaluations may be performed using a queue. During an asynchronous update of an object, a counter field and/or an estimate field may be used respectively for indicating the consistency of values of the object and a time when the values were consistent. The versatility of formulas is enhanced by using a formula to create a default value for a custom field when it is created and to determine whether an action is to be performed, and is enhanced by having an action define when a formula is to be updated.

Methods are provided for efficiently evaluating database queries including multiple rollup operators. With the computation of grouping identifiers to distinguish grouping levels of each rollup operator, evaluation of database queries that include concatenation of rollup operators includes nesting of the rollup operators and includes the grouping identifiers as sorting keys for subsequent processing. Furthermore, to optimize the query evaluation process, the order in which the rollup operators are computed can be determined based on cardinalities that estimate the number of records generated by each rollup operator, and parallel evaluation can be utilized by partitioning data records between rollup operator processing stages based on the grouping keys associated with the rollup operators that are not being processed at the next stage. If the query includes an algebraic aggregate function, the algebraic function is represented as distributive functions, which are propagated through the evaluation stages and used to compute the algebraic function at the final rollup stage.

The invention discloses a system and a method for online food ordering. The system comprises a plurality of food ordering terminals used for customers to complete related operations, a plurality of food ordering information receiving terminals used for a food supplier to complete food ordering-related handling, and a food ordering central server used for receiving and forwarding food ordering requests. With the system and the method, a customer can acquire food information around the position of a food ordering terminal as well as food delivery distance and time with high efficiency when ordering food, and the customer can perform self-service food ordering, acceptance and evaluation on any food ordering terminal; the food supplier and the customer can make a high efficiency voice call; and the food supplier supplies food according to the food ordering information that the system outputs after automatic processing, and can track the arrival time of delivered food and the evaluation of the customer. Therefore, the system and the method solve the problems of failing to provide high efficiency food ordering service according to the position of the customer, low communication efficiency in a food ordering process and low food ordering handling efficiency of the supplier.

A method and system for visualizing circuit operation. In the method device activity is obtained based on one or more of measured or simulated activity. The device activity is expressed in a representation, and the expressed activity is represented in a visual form. One suitable form of activity is the simulated version of the PICA slow motion movie. The invention may apply to other simulated design data vies as well, such as switch level simulation, current density simulation, and power density simulation.

The invention belongs to the technical field of uranium ore geological research, and particularly discloses a sandstone uranium ore comprehensive evaluation technology method. The method comprises thefollowing steps of 1, determining a uranium ore-forming favorable geological background and an ore-forming environment; 2, determining depositional subfacies or microfacies and spatial distribution of an ore-finding target layer; 3, identifying and locating a uranium ore-forming favorable sand body; 4, comprehensively extracting ore-forming favorable information; and 5, delineating an ore-formingfavorable region, and comprehensively evaluating ore-forming potential. According to the method, the steps are irreversibly carried out in sequence, and the uranium ore-forming potential of a regioncan be efficiently, quickly and objectively; uranium geological background and ore-forming environment analysis is a principal factor, wherein uranium source condition analysis is a top priority, andif the region does not have a uranium source condition, uranium ore does not exist no matter how good other conditions are; and by analyzing the ore-forming geological background and the ore-forming environment, favorable ore-forming geological conditions are determined.

A framework is provided for integrating data from multiple relational sources into an XML document that both conforms to a given DTD and satisfies predefined XML constraints. The framework is based on a specification language, designated Attribute Integration Grammar (AIG), that extends a DTD by (1) associating element types with semantic attributes, (2) computing these attributes via parameterized SQL queries over multiple data sources, and (3) incorporating XML keys and inclusion constraints. The AIG uniquely operates on semantic attributes and their dependency relations for controlling context-dependent, DTD-directed construction of XML documents, and, as well as checks XML constraints in parallel with document-generation.

In a method for operating a MIMO radar, an influence of an object motion on an angle estimate is substantially eliminated, and a time multiplex schema having a transmission sequence and transmission instants of transmitters of the MIMO radar is identified by optimizing the following mathematical relationship:

in which: d^pulses,opt is optimized positions of the transmitters in the sequence in which they transmit; d^pulses is positions of the transmitters in the sequence in which they transmit; t is transmission instants; Var^S is sample variance; and Cov^S is sample covariance.

A method for fast inverse planning of IMRT treatment plans is disclosed. The method relies on a computationally efficient algorithm for evaluating the gradient of a general class of objective functions, and also on the efficient optimization that is realized due to the directional conjugacy of the objective functions. Several types of clinically relevant objective functions that belong to this class are described. The computational evaluation relies on operations that are commonly used for signal- and image-processing, and so can benefit from a number of well-known acceleration techniques.

The object of the Electrical Density Gauge (EDG) invention is to provide a low cost, portable, non-nuclear, and rugged field-use device that measures dry density in soils that have been constructed for use as road-beds and building foundations. This data is used to ensure the quality control of the constructed foundation. The electrical properties of soil are measured at a radio frequency using probes driven into the soil. To calibrate EDG, certain algorithms of these electrical properties are related to physically measured wet densities and unit weights of water for a plurality of calibration test spots. Correlation regressions are found, that are used to convert values of the electrical properties measured at unknown field test spots into values of dry density.

An improved system and method for learning a ranking model that optimizes a ranking evaluation metric for ranking search results of a search query is provided. An optimized nDCG ranking model that optimizes an approximation of an average nDCG ranking evaluation metric may be generated from training data through an iterative boosting method for learning to more accurately rank a list of search results for a query. A combination of weak ranking classifiers may be iteratively learned that optimize an approximation of an average nDCG ranking evaluation metric for the training data by training a weak ranking classifier at each iteration for each document in the training data with a computed weight and assigned class label, and then updating the optimized nDCG ranking model by adding the weak ranking classifier with a combination weight to the optimized nDCG ranking model.