Abstract: One method according to the present invention includes receiving data wirelessly from a medical device, transmitting the data to an intermediary device (such as a properly equipped mobile telephone or personal digital assistant), and formatting a message including the received data for transmission to a medical data server. The intermediary device includes software configured to receive the data and process the data into a format compatible with the medical data server. Once at the medical data server the information can be reviewed by a healthcare professional at a location remote to the patient. This method may be practiced automatically, either continuously or at set intervals, or may be initiated by someone utilizing the system (such as the patient or health care provider). The method preferably functions without the need for the patient to manually enter information into a device.

Abstract: One method according to the present invention includes receiving data wirelessly from a plurality of medical devices, transmitting the data to an intermediary device (such as a properly equipped mobile telephone or personal digital assistant), and formatting a message including the received data for transmission to a medical data server. This method can be practiced automatically to allow a medical device for a patient or other subject to be monitored without requiring the patient to manually enter information. This method also allows for multiple different medical devices to be monitored, even where such devices each communicate on different frequencies and/or using different communication protocols.

Abstract: A system according to one aspect of the present invention comprises a processor, a plurality of medical device transceivers, a data relay transceiver, and a memory coupled to the processor, and storing instructions. Each medical data transceiver is configured to receive data wirelessly from one or more medical devices. The processor executes the instructions in the memory to receive data from one or more medical devices using the plurality of medical device transceivers (which gathers data concerning the patient's condition), and transmits the data to an intermediary device using the data relay transceiver. This system can be implemented in a small, portable unit that is easy for a patient to transport.

Abstract: A method and system for dynamic, real-time addition of advertisements to downloaded static content. The method comprises seamlessly combining a downloaded original content file with personalized information on a user device, and allowing the user either to use the combined original content and personalized information without possibility of personalized information removal, or to remove the personalized information after a fee payment. The seamless combination and removal operations are done by a player located in the user device.

Abstract: The present invention relates to a method of collecting and distributing information and sorting by bid price using wireless communication terminal, to resolve a problem of the prior art that the process of learning information related to advertisements or commodities for a user is cumbersome. The system of the present invention is comprised of: an information inputting system, an information storing system, an information verifying system, a searching system, a sorting system, a replying system, a wireless communication terminal, a barcode identifying system, in which the information inputting system, the information storing system, the information verifying system, the searching system, the sorting system and the replying system may run on a same server or run on different machines separately, and the wireless communication terminal should also include a decoding system, a responding system and a displaying system.

Abstract: A method according to the present invention includes receiving data wirelessly from a medical device, transmitting the data to an intermediary device, formatting a message including the received data for transmission to a medical data server, and receiving a command from the medical data server. Commands from the medical data server can be used for the authentication, configuration, and control of the medical device, intermediary device or another device operating in conjunction with the present invention, as well as to achieve other purposes. This method can be practiced automatically to allow a medical device for a patient or other subject to be monitored without requiring the patient to manually enter information.

Abstract: An Internet-based, or Web-based, customizable clinical (patients' records and care) information system (“CIS”) is provided.

Abstract: A method for providing protected content, wherein content usage rights information and/or usage state information is embedded into obtained primary data that serves as a basis for a content item to be provided thereby providing the primary data with the embedded content usage rights information and/or usage state information as the content item.

Abstract: A website is disclosed for enabling an artist to publish a plurality of his original works as (e.g., audio, video, and the like) digital files at a channel that is personal to the artist. Provided that the content of the artist's work is acceptable for publication as determined by a previewer, customers of the website can purchase access to the digital files at the artist's channel. In particular, a customer can purchase a subscription for a predetermined time so as to have unlimited access (via browser) to all of the files posted on the artist's channel, the customer can purchase access (via browser) to a single file posted on the artist's channel, or the customer can purchase a download of a digital file from the website to the customer's computer. The website enables the artist to set his own price for allowing customers to access the digital files on his channel or to secure a download, and the artist is paid a royalty depending upon purchases made by the customers.

Abstract: A digital distribution management system and a contents distribution management method using the same are provided. The system is formed of a contents-user, a broker, a contents-owner, and a contents distributor. The broker receives a contents use fee from the contents-user, transmits a contract document for contents use to the contents-user, pays a loyalty to a contents-owner, pays a distribution fee to the contents distributor, and makes a contract for contents use. The contents-owner transmits use rights, i.e., Service Release (SR) information on corresponding contents of a proper contents-user making a contents use contract to the contents distributor and receives a corresponding loyalty through a broker. The contents distributor receives the SR information from the contents-owner, transmits the contents and a license on the contents information so that the proper contents-user can use the corresponding contents, and receives a corresponding distribution fee through the broker.

Abstract: A system and method by which an application is capable of accessing its own DRM information stored in a content-agnostic DRM system. By being able to access its own DRM information, the application is able to improve the overall user experience by, among other things, making DRM-related information available to the user and providing potential options to the user which may not have been previously available.

Abstract: A method and apparatus for providing digital rights management (DRM) content and a license, and a method and apparatus for using DRM content are provided. The method of providing DRM content and a license includes selecting usage conditions for content; transforming the usage conditions into a secure database (DB); and adding the secure DB to a license. The method of using DRM content generated by applying DRM includes searching for a license corresponding to the DRM content; authenticating a user who wants to use the DRM content; extracting usage conditions included in the license by using a secure DB agent, and confirming whether or not an action desired to be performed by the user satisfies the usage conditions; and if the action desired to be performed by the user satisfies the usage conditions, using the DRM content according to the action.

Abstract: A secure transaction system in accordance with one exemplary embodiment comprising a terminal; a secure access module coupled to the terminal; and a secure embedded device coupled to the secure access module during a transaction; wherein the business logic for controlling flow of the transaction is contained within the secure access module and the secure embedded device.

Abstract: A method of and system for authorizing purchases made over a computer network is provided. In accordance with the present invention, a consumer electronically transmits an ATM card number over the network to an on-line merchant from which the consumer desires to make a purchase. The on-line merchant then electronically forwards the ATM card number to a third party contractor, such as a bank, that will oversee and authorize the transaction. The third party contractor subsequently determines an authentication token type associated with the card and electronically prompts the consumer for the appropriate type of authentication token, such as a PIN or biometric signature or the like. The consumer then inputs and electronically transmits the authentication token over the network to the third party contractor, bypassing the on-line merchant.

Abstract: Campaign-production management is performed for a plurality of campaigns on at least a primary server or a secondary server. The plurality of campaigns is processed on the primary server. The contents of the plurality of campaigns are synchronized between the primary server and the secondary server. On failure of the primary server, processing of the plurality of campaigns is transferred to the secondary server. Further, the failback of the processing of the campaigns is performed on the primary server.

Abstract: An electronic trading system (100) for allowing a user (101) to make a plurality of offers (102) to a plurality of advertisers (103, 104), each offer being for an advertised item (105, 106). The system (100) includes a memory device for storing information related to the offers (102). A processor, in the form of an Offer Management System (OMS) (107), is disposed in communication with the memory device, the OMS being configured to: receive from the user the offers (108, 109) for each advertisers' item (105, 106); transmit data (110, 111) indicative of the offers (108, 109) to the related advertisers (103, 104); receive from one of the advertisers (103) data indicative of the acceptance of the offer (112); and retract the remaining offer (109) such that only one of the offers (108, 109) is accepted.

Abstract: One embodiment of the invention provides a method of publishing campaign metadata from a database to a plurality of channel systems, the method includes: querying the database to select campaign metadata ready for publishing to a target channel system; selecting the target channel system from a plurality of channel systems based on an target indicating attribute of the campaign metadata; determining whether the target channel system has a SOAP enabled webservice API or whether the target channel system only accepts HTTP posts; if the target channel system has a SOAP enabled webservice API, packaging the campaign metadata as an XML message object; if the target channel system only accepts HTTP posts, packaging the campaign metadata as an HTML request; and transferring the packaged campaign metadata to the target channel system.

Abstract: Methods, systems, and products are disclosed for providing communications services. One method receiving at a service provider a user's request for communications service. The user is permitted to negotiate with other service providers to fulfill the request for communications service.

Abstract: A bartering system implements barters between a plurality of parties each having one or more classes of items available for barter. Preferably, barter orders are created by designating a selected quantity of a first class of items to be bartered, designating a date range for transferring title of the first class items to be bartered, designating a barter value of the first class of items to be bartered, and designating a second class of items to be acquired. Barter orders are posted via the Internet to a barter database and may be displayed via the Internet. Posted barter orders whose first class of items match the second class of items of a barterer's order are preferably displayed. Posted barter orders from the display are selected to effectuate a barter transaction which combines a barterer's barter order with the selected posted order(s).

Abstract: A computer program storing computer instructions therein for instructing a computer to perform analytical steps for the aggregation and securitization of intellectual property assets, the securitization initiated by an analytical entity and managed by a management company, the program comprising: a recording medium readable by the computer; and the computer instructions stored on said recording medium instructing the computer to perform the processes including: identifying a focal market; aggregating intellectual property assets into an intellectual property asset aggregation relating to the focal market; generating and reporting to the analytical entity a proposed structure for a management company for managing the securitization of intellectual property assets; validating the intellectual property assets of the intellectual property asset aggregation; generating and reporting a compendium report to a banking institution for determining a projected growth rate; receiving a projected growth rate from the bank

Abstract: In one embodiment a method comprises a method of determining a price level for a computer-based service utility comprises determining a base price for the service utility, determining a loss premium for the service utility, and adding the loss premium to the base price level.

Abstract: Real-time costing information is provided by a central knowledge base in communication with a database. The central knowledge base provides an application programming interface (API) through which queries are run on the content in the database. The database content includes a harmonized system (HS) module holding an HS tree unified across multiple countries, a tariffs module holding tariffs applicable to goods classified in the unified HS tree, and a freight rates module holding rules and data for calculating freight rates for a shipment of goods. A knowledge workbench includes a catalog harmonizer that enables goods in a catalog to be harmonized according to one or more countries' HS trees and the results to be stored in the database. An applications server provides applications for generating queries for costing information, such as landed cost estimates, analyzing the results.

Abstract: The invention organizes various pricing tables and price adjustment tables and various products and purchasing organizations based on “who” (i.e. which purchasing organization) is purchasing “what” (i.e. which product). The invention utilizes a denormalized table to relate the “who” to the “what” using denormalized numbers. The invention further organizes various purchasing organizations and products into hierarchical tables. These hierarchical tables are called organizational groups and product groups. Various price adjustments may be specified for each level of the organizational groups and product groups hierarchies. The price adjustments for a particular purchasing organization are determined by retrieving the price adjustments for that particular purchasing organization as well as the price adjustments for organizational groups above the particular purchasing organization in the organizational groups hierarchy.

Abstract: The Applicant has invented a business model to supply housing with telecommunication and internet services supplemented with education and career training.

Abstract: A system, method, data processing apparatus, and article of manufacture are provided for classifying data. Labeled data points are received, each of the labeled data points having at least one label indicating whether the data point is a training example for data points for being included in a designated category or a training example for data points being excluded from a designated category; receiving unlabeled data points; receiving at least one predetermined cost factor of the labeled data points and unlabeled data points; training a transductive classifier using MED through iterative calculation using the at least one cost factor and the labeled data points and the unlabeled data points as training examples; applying the trained classifier to classify at least one of the unlabeled data points, the labeled data points, and input data points; and outputting a classification of the classified data points, or derivative thereof.

Abstract: A method for prediction analysis using text categorization is provided. The method includes the steps of: grouping a plurality of text documents into a plurality of classes; selecting a top m most discriminatory terms for each class of documents using statistical based measures; determining for each document the presence or absence of each of the discriminatory terms; learning rule-based models of each class of documents using a rule learning algorithm; determining, for at least a portion of the plurality of documents, if a given learned rule has been satisfied by each respective document; creating a database of the rules associated with documents satisfying the rules; and performing distributed data mining to form a predictive result based on at least a portion of the plurality of documents.

Abstract: The data mining platform comprises a plurality of system modules, each formed from a plurality of components. Each module has an input data component, a data analysis engine for processing the input data, an output data component for outputting the results of the data analysis, and a web server to access and monitor the other modules within the unit and to provide communication to other units. Each module processes a different type of data, for example, a first module processes microarray (gene expression) data while a second module processes biomedical literature on the Internet for information supporting relationships between genes and diseases and gene functionality. In the preferred embodiment, the data analysis engine is a kernel-based learning machine, and in particular, one or more support vector machines (SVMs).

Abstract: The data mining platform comprises a plurality of system modules, each formed from a plurality of components. Each module has an input data component, a data analysis engine for processing the input data, an output data component for outputting the results of the data analysis, and a web server to access and monitor the other modules within the unit and to provide communication to other units. Each module processes a different type of data, for example, a first module processes microarray (gene expression) data while a second module processes biomedical literature on the Internet for information supporting relationships between genes and diseases and gene functionality. In the preferred embodiment, the data analysis engine is a kernel-based learning machine, and in particular, one or more support vector machines (SVMs).

Abstract: Support vector machines are used to classify data contained within a structured dataset such as a plurality of signals generated by a spectral analyzer. The signals are pre-processed to ensure alignment of peaks across the spectra. Similarity measures are constructed to provide a basis for comparison of pairs of samples of the signal. A support vector machine is trained to discriminate between different classes of the samples. to identify the most predictive features within the spectra. In a preferred embodiment feature selection is performed to reduce the number of features that must be considered.

Abstract: Described are techniques for ranking a data set of objects. A graph representing the data set is provided. Examples of ranking preferences are provided for a portion of objects in the data set. Each of the examples indicates a ranking of a first object of the portion with respect to a second object of the portion. In accordance with the examples, a function, f, is determined that ranks the objects of the data set. A ranking of the objects of the data set is determined using the function f.

Abstract: A system and method is provided for automated suspicious object boundary determination using a machine learning system (300) and genetic algorithms. The machine learning system (300) is trained (204) and tested (205) using sets of pre-categorized examples. Genetic algorithms assign initial parameter values (201), evaluate the system's performance (206) during testing and assign a performance rating (207), whereupon if the rating is acceptable, the current machine learning system's settings are assigned as default parameters (209) for future suspicious object segmentation. However, if the performance rating is unacceptable, the genetic algorithms adjust the settings (210) and retrain the system using the newly adjusted settings.

Abstract: A method for predicting a future occurrence of an event involves obtaining a history of prior occurrences of the event. A plurality of variables is created that are associated with the event. Weights are assigned to each variable. An artificial neural network is accessed and trained with the history of past occurrences of the event by comparing an output of the artificial neural network to the past occurrence of the event. The weights are adjusted until the output corresponds to the past occurrence of the event.

Abstract: A method for predicting a future occurrence of an event involves obtaining a history of prior occurrences of the event. A plurality of variables is created that are associated with the event. Weights are assigned to each variable. An artificial neural network is accessed and trained with the history of past occurrences of the event by comparing an output of the artificial neural network to the past occurrence of the event. The weights are adjusted until the output corresponds to the past occurrence of the event.

Abstract: Sensors are configured to repeatedly monitor variables of a physical system during its operation. A novelty detection system is responsive to the sensors and is configured to repeatedly observe into an associative memory, states of associations among the variables that are repeatedly monitored, during a learning phase. The novelty detection system is further configured to thereafter observe at least one state of associations among the variables that are sensed relative to the states of associations that are in the associative memory, to identify a novel state of associations among the variables. The novelty detection system may determine whether the novel state is indicative of normal operation or of a potential abnormal operation. Multiple layers of learning for real-time diagnostics/prognostics also may be provided.

Abstract: A system and method are disclosed for improving a statistical message classifier. A message may be tested with a machine classifier, wherein the machine classifier is capable of making a classification on the message. In the event the message is classifiable by the machine classifier, the statistical message classifier is updated according to the reliable classification made by the machine classifier. The message may also be tested with a first classifier. In the event that the message is not classifiable by the first classifier, it is tested with a second classifier, wherein the second classifier is capable of making a second classification. In the event that the message is classifiable by the second classifier, the statistical message classifier is updated according to the second classification.

Abstract: The invention relates to a system and to a method for automatically creating, installing and configuring extensions of functionalities in the system nodes of a distributed network, in particular in a distributed automatic system, provided with at least one system diagnosis tool which analyses the current state of the system of the distributed network and combines in system status data which is guided to at least one knowledge-based planning tool. The knowledge-based planning tool creates installation data for the novel system extensions which are based on control and data from the system status data and a planning data base and guides said installation data, respectively, to at least one installation and configuration tool, which is provided in the system nodes.

Abstract: Providing dynamic learning for software agents in a simulation. Software agents with learners are capable of learning from examples. When a non-player character queries the learner, it can provide a next action similar to the player character. The game designer provides program code, from which compile-time steps determine a set of raw features. The code might identify a function (like computing distances). At compile-time steps, determining these raw features in response to a scripting language, so the designer can specify which code should be referenced. A set of derived features, responsive to the raw features, might be relatively simple, more complex, or determined in response to a learner. The set of such raw and derived features form a context for a learner. Learners might be responsive to (more basic) learners, to results of state machines, to calculated derived features, or to raw features. The learner includes a machine learning technique.

Abstract: The present invention provides a method for estimating a user's interest degree in a playing program, the method includes the steps of: monitoring the user's behavior on the program including at least two segments, and each of them correspond to different time weight; determining the length and the time weight of the segment played corresponding to the user's behavior; and acquiring the user's interest degree in the program according to the length and the time weight of segment played.

Abstract: A behavior estimation apparatus inputs a prediction period, an annual consumption expenditure, extracts, from behavioral statistical data including an occurrence probability of each of behaviors of human during each time period, the occurrence probability of each behavior within the prediction period as a prior probability distribution, obtains a consumption time ratio between replaceable behaviors, and calculates estimated occurrence probabilities of the behaviors which minimize a Kullback-Leibler divergence with respect to the prior probability distribution and satisfy a condition that a ratio between estimated occurrence probabilities of the replaceable behaviors within the prediction period equals a consumption time ratio between the replaceable behaviors, a condition that a sum of expenditures of the behaviors per unit time equals an expenditure per unit time calculated from the annual consumption expenditure, and a condition that a sum of the occurrence probabilities and a sum of the estimated occurrenc

Abstract: The present invention provides a method for extracting relationships between words in textual data. Initially, a classifier is trained to identify text data having a specific format, such as situation-response or cause-effect, using a training corpus. The classifier receives input identifying components of the text data having the specified format and then extracts features from the text data having the specified format, such as the part of speech for words in the text data, the semantic role of words within the text data and sentence structure. These extracted features are then applied to text data to identify components of the text data which have the specified format. Rules are then extracted from the text data having the specified format.

Abstract: Consider a user accessing a computer system providing inputs and getting information returned. The user may be interested in getting data stored in other systems being fetched based on the input that he had already given without having to explicitly access other systems and providing input. The user desires to avoid entering the same data input multiple times. A method is proposed to get (or put) information from (to) other systems without the user providing input data more than once. The method non-invasively captures the user's input and when commanded, fetches information from other systems using the captured data without the user having to access the other systems and provide input data again. The invention focuses on Electronic Medical Record (EMR) Systems that are deployed at physician offices.

Abstract: In an example embodiment, a method comprising accessing a relationship definition associated with a package of data items, the relationship definition including a template string and a first pattern string including a first wildcard symbol, accessing a main file name of a main file, matching the main file name to the first pattern string including associating the first wildcard symbol with a substring of the main file name, and deriving a second pattern string from the template string.

Abstract: A requester may request a ranged lookup operation with respect to an encrypted column of a database. An indexing structure may be used to perform the ranged lookup operation. The indexing structure may include multiple entries. Each of the entries of the indexing structure may include an index value and retrieval information for retrieving a corresponding row of the database. The index value of each entry may correspond to a respective decrypted data item from the encrypted column of the database, which was transformed by a transformation function such that the transformed decrypted data item may reveal less information than the decrypted data item before being transformed by the transformation function. When the respective index value of one of the entries of the indexing structure satisfies the received ranged lookup request, the respective retrieval information may be used to retrieve a corresponding row of data from the database.

Abstract: A system and method for comparing search queries provided by a user with content items available in an index. Search queries are received and stored in a database query log. Content items are located on a network and stored in an index. A value is generated for concepts and categories in the query log and the index. The value for different categories and concepts in the query log is compared with the value for different categories and concepts in the index. A need for content is determined for a given concept and category, which may be communicated to content providers, e.g., web site operators.

Abstract: A transmission device 100 stores a plurality of sets of setting data in a backup area 103 thereof, and uses any setting data in response to a command from an external terminal 200 to start up the own device. Accordingly, the user can automatically register a desired device configuration solely by selecting a device mode.

Abstract: A system is described including the steps of receiving a roster of an organization; when the roster includes a person associating with the organization, storing a set of a digital-medium; when the digital-medium includes the likeness of the person; transmitting electronically the digital-medium; whereby performing a transmission, counting the transmission, whereby determining a count; and selecting, using the count, the digital-medium from the set, whereby selecting a select digital-medium.

Abstract: A method and system is provided for autonomously downloading and indexing Hidden Web pages from Websites having site-specific search interfaces. The method may be implemented using a crawler program or the like to autonomously cull Hidden Web content. The method includes the steps of selecting a query term and issuing a query to a site-specific search interface containing Hidden Web pages. A results index is then acquired and the Hidden Web pages are downloaded from the results index. A plurality of potential query terms are then identified from the downloaded Hidden Web pages. The efficiency of each potential query term is then estimated and a next query term is selected from the plurality of potential query terms, wherein the next selected query term has the greatest efficiency. The next selected query term is then issued to the site-specific search interface using the next query term. The process is repeated until all or most of the Hidden Web pages are discovered.

Abstract: Systems and methods to provide two bottom up path matching solutions and one post processing solution for evaluating value predicates and tree pattern queries. The first path matching method triggers the matching whenever a leaf query step is seen and stores the prefix sub-matches in a cache for reuse. The second path matching method is an NFA (non-deterministic finite state automata) based solution through a post-order traversal of the XML document tree. The post processing method relies on a compact encoding the path results, which avoids redundant value predicate, join evaluations and any duplicate elimination, sort and grouping operations.

Abstract: A method and apparatus for capturing database system workload and replaying that workload in a database system is provided. According to one aspect, in order to subject a test database system to the same workload to which the production database system actually would be subjected, a database server in the production system captures and records workload that the database server receives from external entities. This captured workload is processed. Processes external to a database server in the test database system send the processed workload to that database server. As a result, the test database system is subjected to the same workload to which the production database system originally was subjected. The foregoing technique permits a database administrator to determine how the production database system will fare if the difference that is present in the test database system is introduced into the production database system.

Abstract: A method and apparatus for capturing database system workload and replaying that workload in a database system is provided. According to one aspect, in order to subject a test database system to the same workload to which the production database system actually would be subjected, a database server in the production system captures and records workload that the database server receives from external entities. This captured workload is processed. Processes external to a database server in the test database system send the processed workload to that database server. As a result, the test database system is subjected to the same workload to which the production database system originally was subjected. The foregoing technique permits a database administrator to determine how the production database system will fare if the difference that is present in the test database system is introduced into the production database system.