34504 results about "Calculation methods" patented technology

Methods of applying adaptive social computing systems are disclosed. The social computing systems include capabilities to generate adaptive recommendations and representations of social networks derived, at least in part, from inferences of the preferences and interests of system users based on a plurality of usage behaviors, spanning a plurality of usage behavior categories. The behavioral categories include system navigation behaviors, content referencing behaviors, collaborative behaviors, and the monitoring of physical location and changes in location. Privacy control functions and compensatory functions related to insincere usage behaviors can be applied. Adaptive recommendation delivery can take the form of visual-based or audio-based formats.

The present invention is an improved computational method and system of empirical induction that can be used to arrive at generalized conclusions and make predictions involving longitudinal associations between and among variables and events. Empirical induction is used to gain scientific knowledge, to develop and evaluate treatments and other interventions, and to help make predictions and decisions. The invention, which is distinct from and often complementary to the statistical method, is applied to repeated measures and multiple time-series data and can be used to quantify, discover, analyze, and describe longitudinal associations for individual real and conceptual entities. Major improvements include provisions to define Boolean independent events and Boolean dependent events and to apply analysis parameters such as episode length and episode criterion for both independent and dependent variables, persistence after independent events, and delay and persistence after Boolean independent events. These improvements are in addition to levels of independent and dependent variables, delay after independent events, and provision to quantify benefit and harm across two or more dependent variables. Additional improvements include provisions to quantify longitudinal associations as functions of period or time and to compute values of predictive indices when there are two or more independent variables. Major applications and uses of the invention include data mining, the conduct of clinical trials of treatments for the management or control of chronic disorders, health-effect monitoring, the quantification and analysis internal control in adaptive systems, analyses of serial functional images, analyses of behavior and behavior modification, and use to create computerized devices and systems whose behavior can be modified by experience. The present invention is best implemented on the Internet.

A method and system are provided for executing an application remotely on a server computer for a client computer in a computer network. The server receives at user input from the client computer associated with the application, and executes the application. The server processes display commands of the application to generate display primitives, and translates the display primitives into lower level display commands defining display updates using semantic information of the display primitives. The lower level display commands are selected from a predetermined set of lower level display commands. The lower level display commands are aggregated and ordered into one or more command queues. Each command queue is associated with a given display region. The server computer transmits the lower level display commands in the one or more command queues over the network to the client computer. The client computer is capable of translating the lower level display commands into hardware calls for causing the client computer to display the display updates.

The present invention is intended to allow a user to easily and precisely extract related terms through use of mutual information without requiring morphological analysis or syntax analysis, by constituting a related term extraction apparatus from preceding-and-subsequent term extraction means for extracting a preceding term occurring prior to a specified term or a subsequent term occurring subsequent to the same in text data; a frequency calculation means for calculating the occurrence frequencies of the specified term, the preceding terms, and the subsequent terms; probability-of-occurrence calculation means for calculating the occurrence probabilities of the preceding and subsequent terms together with the occurrence probability of the specified term; probability-of-concurrence calculation means for calculating the probabilities of the preceding and subsequent terms cooccurring with the specified term; order-dependent degree-of-association calculation means for calculating an order-dependent degrees of the preceding and subsequent terms cooccurring with the specified term; order-independent degree-of-association calculation means for calculating an order-independent degrees of occurrence of the preceding and subsequent terms with the specified term; and term group extraction means for extracting from the text data a group of terms related to the specified term, on the basis of the degree-of-association information calculated by the order-independent degree-of-association calculation means.

An efficient system for implementing an electronic market. The system includes a first mechanism for defining a set of attributes and associated descriptor variables involved in market transactions. Importance values are assigned to the descriptor variables by the first mechanism. A second mechanism computes match scores for the market transactions based on the importance values. A third mechanism employs the match scores to clear the electronic market. In the specific embodiment, the first mechanism includes an administrator interface, which allows an administrator to define the descriptor variables. A configurator communicates with the administrator interface and allows the administrator to assign a first set importance values to corresponding descriptor variables. The first set importance values includes default importance values or importance values assigned to the descriptor variables by a seller seeking to transact with a buyer via the electronic market. The administrator interface allows an administrator to configure a user interface of the market to allow market participants to assign a second set of importance values to different descriptor variables. The second set of importance values includes buyer and seller importance values. The descriptor variables and associated descriptor importance values may be continuous or discrete. A matching engine computes the match scores for market transactions based on a predetermined evaluation method specified via the administrator interface and based on a unique match score computation method.

There is disclosed a wafer flatness evaluation method includes measuring front and rear surface shapes of a wafer. The wafer front surface measured is divided into sites. Then, a flatness calculating method is selected according to a position of the site to be evaluated and flatness in the wafer surface is acquired.