Abstract: Transforming an electronic document into web application provides a single interactive platform for conducting all business activities, including collaboration. This significantly extends the simple, persistent, portable and contextual nature of a document with interactive, authoritative, process oriented and data connected capabilities of a web application. The application aspect of the document also ensures the metadata of document is always up-to-date and self-managed, with the corresponding data and content provided in the document, for accurate search and retrieval. The invention transforms isolated, static and manual characteristics of document into a rich and live application. Instead of it being the end result of a process, the document itself serves as the platform that allows business processes to be launched, conducted and completed within the document itself, thereby saving users the hassle of opening multiple forms, screens, emails in order to finalize the content.

Abstract: One or more embodiments of techniques or systems for modeling familiarity for a traveler are provided herein. Familiarity evidence can be received, indicative of how familiar a traveler is with an area or road segment, and based on a number of visits the traveler has made to that area. The familiarity evidence can be used to generate one or more familiarity models indicative of a predicted familiarity of locations around the area. Familiarity models can be based on kernels, graph distances, Markov random fields (MRFs), etc. When route directions are generated from an origin location to a destination location, one or more of the directions can be provided based on one or more of the familiarity models. For example, if a familiarity model indicates that a traveler is familiar with a route, driving directions of the route can be adapted to be more succinct.

Abstract: Systems and methods are disclosed for providing personnel communications management within an enterprise or group of related enterprises during crisis situations. In particular, the systems and methods provide event management, shared situational awareness, personnel tracking, and unified crisis notification management to multiple users.

Abstract: A method and system for multimodal human-vehicle interaction including receiving input from an occupant in a vehicle via more than one mode and performing multimodal recognition of the input. The method also includes augmenting at least one recognition hypothesis based on at least one visual point of interest and determining a belief state of the occupant's intent based on the recognition hypothesis. The method further includes selecting an action to take based on the determined belief state.

Abstract: Systems and methods are disclosed for providing personnel communications management within an enterprise or group of related enterprises during crisis situations. In particular, the systems and methods provide event management, shared situational awareness, personnel status tracking, and unified crisis notification management to multiple users.

Abstract: A system and a method are disclosed for delivering an alert from a computer system using distributed notification delivery. The method comprises using a computer system to receive an alert initiation request from an alert operator, where the alert initiation request includes metadata of an alert to be delivered. The method extracts the metadata from the alert initiation request and from its persistent storage place and persistently stores the extracted metadata in a first storage place on the computer system. The method further makes an alert initiation request with one or more communication systems based on the extracted metadata of the alert. The method securely delivers the alert initiation request and extracted metadata to one or more communication systems, which store the metadata transiently for the duration of delivering the alert, deliver the alert to multiple alert recipients tracks delivery progress and collect alert responses, reporting these back to the computer system.

Abstract: Architecture that maintains the user experience as close as possible to the user experience when dealing with the usual/regular forms and data provided in an office application when dealing with hybrid forms and hybrid data. Synchronization of the hybrid data to single-master and multi-masters systems is accomplished when the associated hybrid client goes offline, changes are made to the hybrid data, and then the client comes back online. For example, where the single-master system is a line-of-business (LOB) server system and the multi-master system is an officer server that employs collaboration capability, the architecture allows office users to access, manipulate, and share LOB entity information using collaborative means, while at the same time, ensuring data and business process consistency for the LOB entity in the LOB system.

Abstract: Architecture that maintains the user experience as close as possible to the user experience when dealing with the usual/regular forms and data provided in an office application when dealing with hybrid forms and hybrid data. Synchronization of the hybrid data to single-master and multi-masters systems is accomplished when the associated hybrid client goes offline, changes are made to the hybrid data, and then the client comes back online. For example, where the single-master system is a line-of-business (LOB) server system and the multi-master system is an officer server that employs collaboration capability, the architecture allows office users to access, manipulate, and share LOB entity information using collaborative means, while at the same time, ensuring data and business process consistency for the LOB entity in the LOB system.

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: The invention relates to selecting a set of candidate genes from a pool of genes. The method comprising receiving a set of gene data; arranging the set of gene data into a set of clusters with similar profiles by use of a clustering algorithm; and inputting the set of clusters into a genetic algorithm to select a set of candidate genes from the set of clusters. The method thus relates to hybrid between selection by clustering computation and selection by evolutionary computation. This hybrid is also referred to as an evolutionary clustering algorithm (ECA).

Abstract: An action is performed in a spoken dialog system in response to a user's spoken utterance. A policy which maps belief states of user intent to actions is retrieved or created. A belief state is determined based on the spoken utterance, and an action is selected based on the determined belief state and the policy. The action is performed, and in one embodiment, involves requesting clarification of the spoken utterance from the user. Creating a policy may involve simulating user inputs and spoken dialog system interactions, and modifying policy parameters iteratively until a policy threshold is satisfied. In one embodiment, a belief state is determined by converting the spoken utterance into text, assigning the text to one or more dialog slots associated with nodes in a probabilistic ontology tree (POT), and determining a joint probability based on probability distribution tables in the POT and on the dialog slot assignments.

Abstract: A powertrain of a hybrid electric vehicle (HEV) is controlled. A first value ?1 and a second value ?2 are determined, ?1 represents a proportion of an instantaneous power requirement (Preq) supplied by an engine of the HEV. ?2 controls a recharging rate of a battery of the HEV. A determination is performed, based on ?1 and ?2, regarding how much engine power to use (Peng) and how much battery power to use (Pbatt). Peng and Pbatt are sent to the powertrain.

Abstract: A method and system for obtaining reverse channel resources for a mobile device, the method filtering a closed loop correction power value; calculating a data rate utilizing the filtered closed loop correction power value; and sending a supplemental channel request message, including the calculated data rate, to a base station transceiver system.

Abstract: A method for controlling receive diversity of an antenna system of a computer device, the antenna system including two or more antenna elements. The method includes establishing a session with a remote transmitting system and determining whether a predetermined criteria detected by the computer device is satisfied within the session. If the predetermined criteria is satisfied within the session, the method includes activating at least two of the antenna elements for receiving transmissions, enabling performance of receive diversity on the received transmissions, and performing receive diversity on the received transmissions. If the predetermined criteria is not satisfied within the session, the method includes activating at least one of the antenna elements, disabling performance of receive diversity on the received transmissions, and performing a default signal processing on the received transmissions. A mobile communication device may be used to perform the method.

Abstract: A room temperature crosslinkable polymer system comprising an anhydride containing polymer and an oxyalkylene amine and a polymer electrolyte derived therefrom are prepared and employed as ion conducting materials for batteries such as lithium ion battery, solar cells and electrochromic devices is disclosed.

Abstract: An utterance is received from a user specifying a location attribute and a landmark. A set of candidate locations is identified based on the specified location attribute, and a confidence score can be determined for each candidate location. A set of landmarks is identified based on the specified landmark, and confidence scores can be determined for the landmarks. An associated kernel model is generated for each landmark. Each kernel model is centered at the location of the associated landmark on a map, and the amplitude of the kernel model can be based on landmark attributes, landmark confidence scores, characteristics of the user, and the like. The candidate locations are ranked based on the amplitudes of overlapping kernel models at the candidate locations, and can also be ranked based on confidence scores associated with the candidate locations.

Abstract: The present invention provides a system and method associating the freeform speech commands with one or more predefined commands from a set of predefined commands. The set of predefined commands are stored and alternate forms associated with each predefined command are retrieved from an external data source. The external data source receives the alternate forms associated with each predefined command from multiple sources so the alternate forms represent paraphrases of the predefined command. A representation including words from the predefined command and the alternate forms of the predefined command, such as a vector representation, is generated for each predefined command. A similarity value between received speech data and each representation of a predefined command is computed and the speech data is classified as the predefined command whose representation has the highest similarity value to the speech data.

Abstract: The present invention provides a method for learning a policy used by a computing system to perform a task, such delivery of one or more objects by the computing system. During a first time interval, the computing system determines a first state, a first action and a first reward value. As the computing system determines different states, actions and reward values during subsequent time intervals, a state description identifying the current sate, the current action, the current reward and a predicted action is stored. Responsive to a variance of a stored state description falling below a threshold value, the stored state description is used to modify one or more weights in the policy associated with the first state.

Abstract: The present invention provides a method for extracting relationships between words in textual data. Initially, training relationship data, such as word triplets describing a cause-effect relationship, is received and used to collect additional textual data including the training relationship data. Distributed data collection is used to receive the training data and collect the additional textual data, allowing a broad range of data to be acquired from multiple sources. Syntactic patterns are extracted from the additional textual data and a distributed data source is scanned to extract additional relationship data describing one or more causal relationships using the extracted syntactic patterns. The extracted additional relationship data is then stored, and can be validated by a supervised learning algorithm before storage and used to train a classifier for automatic validation of additional relationship data.

Abstract: A test framework for automating multi-user, multi-step and/or multi-machine test cases for electronic calendaring application objects is provided. Test cases may be automated where coordination between a number of machines is required to test electronic calendaring application user scenarios. In addition, automation of multifold interaction between two electronic calendaring application users is provided.