4065 results about "Decision taking" patented technology

A method of buying or selling items having at least one market and its associated processes are disclosed. The method includes the steps of, under control of a client system, displaying information identifying at least one item and a bid and/or ask price for the item in the market; and specifying transaction conditions based on a user directed position of a moveable icon, where the transaction conditions are related to the buying or selling of the identified item in the active market. Then, in response to an action of the user sending a user transaction request at the transaction conditions displayed at the time of said action, facilitating financial transactions for the user in accordance with the transaction conditions to complete the transaction. In this manner, the item may be bought or sold by the user at the transaction conditions specified. A user interface to facilitate this method is also disclosed. A quantity recommendation system to facilitate the quantity decision of a financial transaction is further disclosed.

A speech recognition system recognizes an input speech signal by using a first speech recognizer and a second speech recognizer each coupled to a decision module. Each of the first and second speech recognizers outputs first and second recognized speech texts and first and second associated confidence scores, respectively, and the decision module selects either the first or the second speech text depending upon which of the first or second confidence score is higher. The decision module may also adjust the first and second confidence scores to generate first and second adjusted confidence scores, respectively, and select either the first or second speech text depending upon which of the first or second adjusted confidence scores is higher. The first and second confidence scores may be adjusted based upon the location of a speaker, the identity or accent of the speaker, the context of the speech, and the like.

A platform facilitates buyers, sellers, and third parties in obtaining information related to each other's transaction histories, such as a supplier's shipment history, the types of materials typically shipped, a supplier's customers, a supplier's expertise, what materials and how much a buyer purchases, buyer and shipper reliability, similarity between buyers, similarity between suppliers, and the like. The platform aggregates data from a variety of sources, including, without limitation, customs data associated with actual import/export transactions and facilitates the generation of reports as to the quality of buyers and suppliers, the reports relating to a variety of parameters that are associated with buyer and supplier quality.

The most preferred embodiment of the present invention is a computer-based decision support system that includes three main components: a database mining engine (DME); an advertising optimization mechanism; and a customized user interface that provides access to the various features of the invention. The user interface, in conjunction with the DME, provides a unique and innovative way to store, retrieve and manipulate data from existing databases containing media-related audience access data, which describe the access habits and preferences of the media audience. By using a database with a simplified storage and retrieval protocol, the data contained therein can be effectively manipulated in real time. This means that previously complex and lengthy information retrieval and analysis activities can be accomplished in very short periods of time (typically seconds instead of minutes or even hours). Further, by utilizing the advertising optimization mechanism of the present invention, businesses, networks, and advertising agencies can interactively create, score, rank and compare various proposed or actual advertising strategies in a simple and efficient manner. This allows the decision-makers to more effectively tailor their marketing efforts and successfully reach the desired target market while conserving scarce advertising capital. Finally, the user interface for the system provides access to both the DME and the optimization mechanism in a simple and straightforward manner, significantly reducing training time.

A method and system for managing mechanical ventilation of patients with respiratory disorders is described. The main objective of the system is to generate executable instructions for patient care which take into account a large number of parameters of patient condition and ventilation. Data regarding the state of the patient are stored in a database. Patient data are processed according to a set of protocols which contain rules for patient care decisions arranged in a logical sequence to generate detailed, executable instructions for patient care. Instructions are updated when new data are entered into the database. The data can be acquired in an automated fashion, or the clinician can be instructed to collect and enter new data into the clinical database. Likewise, patient care instructions can be carried out automatically or manually, but it is preferred that instructions are carried out manually as a safety check. The preferred embodiment of the invention includes a computer system, software for processing patient data, and a display device for presenting patient care instructions to the clinician. The system maintains a record of patient data, patient care instructions, whether instructions were followed by the clinical staff, and if not, a reason why.

Share of Wallet (“SoW”) is a modeling approach that utilizes various data sources to provide outputs that describe a consumer's spending capability, tradeline history including balance transfers, and balance information. These outputs can be appended to data profiles of customers and prospects and can be utilized to support decisions involving prospecting, new applicant evaluation, and customer management across the lifecycle. In addition to credit card companies, SoW outputs may be useful to companies issuing, for example: private label cards, life insurance, on-line brokerages, mutual funds, car sales/leases, hospitals, and home equity lines of credit or loans. “Best customer” models can correlate SoW outputs with various customer groups. A SoW score focusing on a consumer's spending capacity can be used in the same manner as a credit bureau score.

This document describes systems and methods for restricting program process capabilities. In some implementations, the capabilities are restricted by limiting the rights or privileges granted to an application. A plurality of rules may be established for a program, or for a group of programs, denying that program the right to take actions which are outside of the actions needed to implement its intended functionality. A security policy is implemented to test actions initiated in response to an application against the rules to enable decisions restricting the possible actions of the program. Embodiments are disclosed which process the majority of decisions regarding actions against a security profile through use of a virtual machine. In some embodiments, the majority of decisions are resolved within the kernel space of an operating system.

The present invention provides a computerized method and apparatus for automatically generating from a first speech recognizer a second speech recognizer which can be adapted to a specific domain. The first speech recognizer can include a first acoustic model with a first decision network and corresponding first phonetic contexts. The first acoustic model can be used as a starting point for the adaptation process. A second acoustic model with a second decision network and corresponding second phonetic contexts for the second speech recognizer can be generated by re-estimating the first decision network and the corresponding first phonetic contexts based on domain-specific training data.

Systems and methods are provided to implement a dynamic and efficient cascading policy management framework architecture for both wired and wireless networks. A plurality of Policy Functions (PFs) are assigned to a plurality of Policy Enforcement Points (PEP). The PFs make decisions regarding local policy control at the specific PEP. The PFs then delegate the policy requests or IP flows to a separate PEP that is more conducive to enforcing that policy request. Thus, policy decisions are made at the point where the most information is available, leading to fewer policy requests traversing back and forth across a network. Additionally, this cascading Policy Management Framework Architecture allows for unified policy management across multiple types of networks, including wired (Internet) and wireless (UMTS).

A system and method providing home and small business owners to monitor and manage one or more appliances. This enables a use to understand in detail their electrical consumption, to make informed decisions based on factual data about energy-saving upgrades to their current systems/appliances, and to provide Internet-based surveillance and control of systems for prevention of freezing, breakdown, or possible fire-related losses, including possible loss-of-life. The system and method includes through the use of Internet based computer software and databases, a hardware interface with electrical circuit panel(s) or fuse boxes in communication with the software and databases and optional wireless outlet monitoring units in communication with the software and databases. The databases being formed and created by the system and method for determining performance of appliances.

In an access control decision system, first information indicated by an access decision request is converted into second information being higher abstract when the access decision request is received. Next, the access control for the subject information is determined by referring a security policy being abstractly regulated based on the second information and a decision result showing the access control for the subject information is sent to a request originator that sent the access decision request.

An admission control and load balancing system controls admission of packet streams or calls to a network and balances the packet traffic across the network, improving quality of service. The system includes a central database which stores information including cost data associated with individual paths and links across the network. A processor, in communication with the database, coordinates the admission control and load balancing decisions, and updates of the database cost data to reflect the dynamic network conditions, based on input from appropriate data sources. In one embodiment, referred to as the exact algorithm, the database is consulted by the admission control points or gatekeepers prior to admitting each arriving packet stream, and the database contents are updated call-by-call to reflect the allocation of resources to each admitted stream. In another embodiment, referred to as the inexact algorithm, control decision as well as database updates occur on a periodic rather than on a call-by-call basis to promote better scalability. In this embodiment, the processor periodically calculates admission decisions based on cost data in the central database. These admission decisions are then periodically forwarded to a satellite database associated with each gatekeeper, for storage and use in admission decisions until the next update epoch.

A system and method is disclosed for recommending items to individual users using a combination of clustering decision trees and frequency-based term mapping. The system and method of the present invention is configured to receive data based on user action, such as television remote control activity, or computer keyboard entry, and when a new item data is made available from sources such as television program guides, movie databases, deliverers of advertising data, on-line auction web sites, and electronic mail servers, the system and method analytically breaks down the new item data, compares it to ascertained attributes of item data that a user liked in the past, and produces numeric ranking of the new item data dynamically, and without subsequent user input, or data manipulation by item data deliverers, and is tailored to each individual user. A embodiment is disclosed for learning user interests based on user actions and then applying the learned knowledge to rank, recommend, and/or filter items, such as e-mail spam, based on the level of interest to a user. The embodiment may be used for automated personalized information learning, recommendation, and/or filtering systems in applications such as television programming, web-based auctions, targeted advertising, and electronic mail filtering. The embodiment may be structured to generate item descriptions, learn items of interest, learn terms that effectively describe the items, cluster similar items in a compact data structure, and then use the structure to rank new offerings. Embodiments of the present invention include, by way of non-limiting example: allowing the assignment of rank scores to candidate items so one can be recommended over another, building decision trees incrementally using unsupervised learning to cluster examples into categories automatically, consistency with “edge” (thick client) computing whereby certain data structures and most of the processing are localized to the set-top box or local PC, the ability to learn content attributes automatically on-the-fly, and the ability to store user preferences in opaque local data structures and are not easily traceable to individual users.

The present invention creates an objective methodology of quantitative accountability for medical device manufacturers, vendors, clinical providers, patients, and payers. In one embodiment, the standardized data received and stored in the medical device database can in turn be used for a variety of applications related to decision support (e.g., medical device selection), education and training (e.g., procedural performance), cost efficacy, evidence based medicine and best practice guidelines, personalized medicine, and comparative performance/safety analytics.

The invention relates to a cloud computing resource scheduling method based on dynamic reconfiguration virtual resources. The method comprises the steps of: using cloud application load information collected by a cloud application monitor as a basis; making a dynamic decision based on the load capacity of the virtual resources for running cloud application and the current load of the cloud application; and dynamically reconfiguring virtual resources for cloud application based on the decision result. Dynamic adjustment of resources is realized by a method for reconfiguring virtual resources for cloud application, without needing dynamic redistribution of physical resources or stopping executing cloud application. The method can dynamically reconfigure the virtual resources according to the load variation of the cloud application, optimize allocation of the cloud computing resources, realize effective use of the cloud computing resources, and meet the requirements on dynamic scalability of cloud application. In addition, the method can avoid waste of the cloud computing resources, and save the cost for using resources for cloud application users.

A system and method are provided for detecting emotional states using statistics. First, a speech signal is received. At least one acoustic parameter is extracted from the speech signal. Then statistics or features from samples of the voice are calculated from extracted speech parameters. The features serve as inputs to a classifier, which can be a computer program, a device or both. The classifier assigns at least one emotional state from a finite number of possible emotional states to the speech signal. The classifier also estimates the confidence of its decision. Features that are calculated may include a maximum value of a fundamental frequency, a standard deviation of the fundamental frequency, a range of the fundamental frequency, a mean of the fundamental frequency, and a variety of other statistics.

The invention addresses hardware and software products capable to make contemporaneous accurate predictions regarding how a person's biological system will respond to a series of stimuli. The predictions can then be communicated in real time, enabling confirmation of good control status, need for corrective action, planning future actions, or even outside intervention in case of emergency. Also addresses by the invention is a family of diagnostic hardware based on intelligent optoelectronic sensors that incorporate one or more Wedge-and-Strip Position-Sensitive Photo-Detectors optimized for probabilistic real time evaluation of spectroscopy data from living subjects.