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 trajectory planning system for an autonomous vehicle fits a jerk profile including a plurality of phases within a set of acceptable parameters, a jerk value being constant within each phase of the jerk profile. The system parameterizes the jerk profile based on an initial velocity, an initial acceleration, a final velocity, and a final acceleration for the first segment. The system then integrates the jerk profile to determine a first trajectory function, the first trajectory function including a speed for the vehicle at a given time. The system guides the vehicle along the first segment of the path according to the first trajectory function. The system detects an unplanned obstacle along the first segment of the path. The system plans a second trajectory function for a second segment of the path between a current location of the vehicle and a location on the path before the unplanned obstacle.

Abstract: A system and method for testing of active molecules using simulation of skin membrane have been provided. The present disclosure provides a molecular level model of the skins upper protective layer Stratum-Corneum. The systems consist of a molecular model of the skins upper layer stratum corneum and permeate molecules. A protocol have been developed to perform molecular dynamics simulations which can be automated. The system predicts the permeability, partition coefficient and diffusivity of different active molecules like drugs and cosmetics through mentioned skin model using multiple molecule in single window constrained molecular dynamics simulations.

Abstract: One or more embodiments of techniques or systems for generating turn predictions or predictions are provided herein. Environment layout information of an operating environment through which a first vehicle is travelling may be received. A current location of the first vehicle may be received. One or more other vehicles may be detected. Additional environment layout information from other vehicles may be received. A model including the operating environment, the first vehicle, and one or more of the other vehicles may be built. The model may be based on the environment layout information and the additional environment layout information and indicative of an intent of a driver of one of the other vehicles. Further, predictions may be generated based on the model, which may be based on a Hidden Markov Model (HMM), a Support Vector Machine (SVM), a Dynamic Bayesian Network (DBN), or a combination thereof.

Abstract: A trajectory planning system for an autonomous vehicle fits a jerk profile including a plurality of phases within a set of acceptable parameters, a jerk value being constant within each phase of the jerk profile. The system parameterizes the jerk profile based on an initial velocity, an initial acceleration, a final velocity, and a final acceleration for the first segment. The system then integrates the jerk profile to determine a first trajectory function, the first trajectory function including a speed for the vehicle at a given time. The system guides the vehicle along the first segment of the path according to the first trajectory function. The system detects an unplanned obstacle along the first segment of the path. The system plans a second trajectory function for a second segment of the path between a current location of the vehicle and a location on the path before the unplanned obstacle.

Abstract: A method and system are disclosed for recognizing speech errors, such as in a spoken short messages, using an audio input device to receive an utterance of a short message, using an automated speech recognition module to generate a text sentence corresponding to the utterance, generating an N-best list of predicted error sequences for the text sentence using a linear-chain conditional random field (CRF) module, where each word of the text sentence is assigned a label in each of the predicted error sequences, and each label is assigned a probability score. The predicted error sequence labels are rescored using a metacost matrix module, the best rescored error sequence from the N-best list of predicted error sequences is selected using a Recognition Output Voting Error Reduction (ROVER) module, and a dialog action is executed by a dialog action module based on the best rescored error sequence and the dialog action policy.

Abstract: One or more embodiments of techniques or systems for generating turn predictions or predictions are provided herein. Environment layout information of an operating environment through which a first vehicle is travelling may be received. A current location of the first vehicle may be received. One or more other vehicles may be detected. Additional environment layout information from other vehicles may be received. A model including the operating environment, the first vehicle, and one or more of the other vehicles may be built. The model may be based on the environment layout information and the additional environment layout information and indicative of an intent of a driver of one of the other vehicles. Further, predictions may be generated based on the model, which may be based on a Hidden Markov Model (HMM), a Support Vector Machine (SVM), a Dynamic Bayesian Network (DBN), or a combination thereof.

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: Novel photoacid generator compounds are provided. Photoresist compositions that include the novel photoacid generator compounds are also provided. The invention further provides methods of making and using the photoacid generator compounds and photoresist compositions disclosed herein. The compounds and compositions are useful as photoactive components in chemically amplified resist compositions for various microfabrication applications.

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: The present invention provides a method for identifying a turn, such as a sentence or phrase, for addition to a platform dialog comprising a plurality of turns. Lexical features of each of a set of candidate turns relative to one or more turns in the platform dialog are determined. Semantic features associated with each candidate turn and associated with the platform dialog are determined to identify one or more topics associated with each candidate turn and with the platform dialog. Lexical features of each candidate turn are compared to lexical features of the platform dialog and semantic features associated with each candidate turn are compared to semantic features of the platform dialog to rank the candidate turns based on similarity of lexical features and semantic features of each candidate turn to lexical features and semantic features of the platform dialog.

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: Novel photoacid generator compounds are provided. Photoresist compositions that include the novel photoacid generator compounds are also provided. The invention further provides methods of making and using the photoacid generator compounds and photoresist compositions disclosed herein. The compounds and compositions are useful as photoactive components in chemically amplified resist compositions for various microfabrication applications.

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 tracking, and unified crisis notification management to multiple users.

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. A candidate location is selected and presented to the user based on the candidate location ranking.

Abstract: A method and system are disclosed for recognizing speech errors, such as in a spoken short messages, using an audio input device to receive an utterance of a short message, using an automated speech recognition module to generate a text sentence corresponding to the utterance, generating an N-best list of predicted error sequences for the text sentence using a linear-chain conditional random field (CRF) module, where each word of the text sentence is assigned a label in each of the predicted error sequences, and each label is assigned a probability score. The predicted error sequence labels are rescored using a metacost matrix module, the best rescored error sequence from the N-best list of predicted error sequences is selected using a Recognition Output Voting Error Reduction (ROVER) module, and a dialog action is executed by a dialog action module based on the best rescored error sequence and the dialog action policy.

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: The prevention of vehicle accidents is targeted. A road texture model is created based on a vehicle camera image. An initial vehicle location estimate is determined, and map imagery is obtained based on this location estimate. A refined vehicle location is determined using visual egomotion. In particular, 3D features of the vehicle image and the retrieved map imagery are identified and aligned. A map image is selected based on this alignment, and the location associated with the map image is modified by a displacement between the selected map image and the vehicle image to produce a refined vehicle location. A road boundary model is created based on the road texture model and the refined vehicle location, and a road departure model is created based on the road boundary model and vehicle odometry information. The operator of the vehicle is warned of a road departure based on the road departure model.

Abstract: An extensional flow mixing system is provided comprising a cell including an inlet for introducing fluid into the cell and an outlet permitting fluid to flow out of the cell, the cell having an interior surface defining a convergent flow path that has an internal cross-sectional area that preferably decreases from the inlet to the outlet so as to define a direction of convergence from the inlet to the outlet, and an insert extending within the cell in the direction of convergence, the insert comprising at least one protuberance which causes the fluid to undergo an extensional episode, wherein the protuberance is spaced from the interior surface by a dimension “?” that is constant or changes gradually in the direction of convergence. Method of providing extensional flow and production of dispersions are disclosed.