Abstract: A method and system for sharing an asset in a peer-to-peer network. Meta data and a source node identification are received. The meta data specifies properties and content of the asset to be shared by the source node. The received source node identification and the meta data are locally stored as a couple in a catalog. Subsequently, content specifying the asset and a request to search for and retrieve the asset based on the content is received. The locally stored catalog is loaded and searched to detect the couple that includes the source node identification and meta data, where the received content matches the meta data. The source node is identified based on the detected couple. A request is sent to the source node to retrieve and share the asset, and in response, the asset is received.

Abstract: An approach for obfuscating sensitive data while preserving data usability is presented. The in-scope data files of an application are identified. The in-scope data files include sensitive data that must be masked to preserve its confidentiality. Data definitions are collected. Primary sensitive data fields are identified. Data names for the primary sensitive data fields are normalized. The primary sensitive data fields are classified according to sensitivity. Appropriate masking methods are selected from a pre-defined set to be applied to each data element based on rules exercised on the data. The data being masked is profiled to detect invalid data. Masking software is developed and input considerations are applied. The selected masking method is executed and operational and functional validation is performed.

Abstract: A technique for determining intent associated with a spoken utterance of a user comprises the following steps/operations. Decoded speech uttered by the user is obtained. An intent is then extracted from the decoded speech uttered by the user. The intent is extracted in an iterative manner such that a class is determined after a first iteration and a sub-class of the class is determined after a second iteration. The class and the sub-class of the class are hierarchically indicative of the intent of the user, e.g., a target and data that may be associated with the target. The user intent extracting step may further determine a sub-class of the sub-class of the class after a third iteration, such that the class, the sub-class of the class, and the sub-class of the sub-class of the class are hierarchically indicative of the intent of the user.

Abstract: A scalable and fault tolerant finite state machine engine, for example, for use in an automated incident management system, logs or records data in persistent storage at different points or levels during various internal processing of an event associated with an information technology element, and action taken associated with the event, by executing a finite state machine instance that encodes policies for handling incidents on such types of information technology elements. In the event that the finite state machine engine is shutdown during processing, the finite state machine engine is able to pick up from where it left off when it was shutdown, for each abnormally terminated finite state machine instance, by using the data logged in the persistent storage and determining a point of processing from where it should continue its execution.

Abstract: Systems and methods for intelligent control of microphones in speech processing applications, which allows the capturing, recording and preprocessing of speech data in the captured audio in a way that optimizes speech decoding accuracy.

Abstract: A system, method and computer program product for detecting and reacting to a network discrepancy within a data center network environment. The method comprises monitoring network traffic between a first computer configured as a first hypervisor inter-networked within the data center network environment and a second computer inter-networked within the data center network environment in order to detect a presence of a predetermined condition representing a presence of the network discrepancy in the data center network environment between a recorded state of the data center network environment and an observed state of the data center network environment. The monitoring includes determining the observed state of the data center network environment using one of: polling, event-based or a combination thereof.

Abstract: In a voice processing system, a multimodal request is received from a plurality of modality input devices, and the requested application is run to provide a user with the feedback of the multimodal request. In the voice processing system, a multimodal aggregating unit is provided which receives a multimodal input from a plurality of modality input devices, and provides an aggregated result to an application control based on the interpretation of the interaction ergonomics of the multimodal input within the temporal constraints of the multimodal input. Thus, the multimodal input from the user is recognized within a temporal window. Interpretation of the interaction ergonomics of the multimodal input include interpretation of interaction biometrics and interaction mechani-metrics, wherein the interaction input of at least one modality may be used to bring meaning to at least one other input of another modality.

Abstract: In a voice processing system, a multimodal request is received from a plurality of modality input devices, and the requested application is run to provide a user with the feedback of the multimodal request. In the voice processing system, a multimodal aggregating unit is provided which receives a multimodal input from a plurality of modality input devices, and provides an aggregated result to an application control based on the interpretation of the interaction ergonomics of the multimodal input within the temporal constraints of the multimodal input. Thus, the multimodal input from the user is recognized within a temporal window. Interpretation of the interaction ergonomics of the multimodal input include interpretation of interaction biometrics and interaction mechani-metrics, wherein the interaction input of at least one modality may be used to bring meaning to at least one other input of another modality.

Abstract: Techniques for managing vehicular emergencies are disclosed. For example, a method of managing a vehicular emergency includes the steps of collecting biometric data regarding at least one occupant of a vehicle, collecting data regarding at least one operational characteristic of the vehicle, and detecting vehicular emergencies through analysis of at least a portion of the biometric data and the operational characteristic data. This method may also include communicating at least one message relating to the data, wherein the content of the message is determined by the processing device based at least in part on the data and/or controlling a function of the vehicle in response to the data. The method may also include collecting data regarding at least one operational characteristic of at least one proximate vehicle.

Abstract: In accordance with one aspect of the embodiments of this invention there is a method to operate a network mapping tool. The method includes performing a network mapping operation over a first set of ports to generate a list of hosts that are found to be alive; performing a sequential scan on only those hosts in the list to detect the operating system of each host in the list; and performing a parallel port scan to detect characteristics of only those hosts in the list. The characteristics can include an identification of at least applications and services running on the hosts in the list. The second set of ports can be a full set of ports.

Abstract: In accordance with one aspect of the embodiments of this invention there is a method to initiate remote managed infrastructure services for a customer infrastructure site. The method includes, in response to an inquiry from a potential customer, provisioning the potential customer with a remote managed infrastructure services software client; using the provisioned software client, performing an automated process to detect specifics of a customer information technology infrastructure; in response to the customer confirming the detected specifics of customer information technology infrastructure, configuring a remote managed infrastructure service to monitor and manage all or a subset of the detected and confirmed customer information technology infrastructure.

Abstract: Techniques are disclosed for overcoming errors in speech recognition systems. For example, a technique for processing acoustic data in accordance with a speech recognition system comprises the following steps/operations. Acoustic data is obtained in association with the speech recognition system. The acoustic data is recorded using a combination of a first buffer area and a second buffer area, such that the recording of the acoustic data using the combination of the two buffer areas at least substantially minimizes one or more truncation errors associated with operation of the speech recognition system.

Abstract: The present invention provides a system and method for provisioning Cloud services by establishing a Cloud services catalog using a Cloud service bus within a Cloud computing environment. In one embodiment, there is a Cloud services catalog manager configured to connect a plurality of Clouds in a Cloud computing environment; maintain a catalog of integrated Cloud services from the plurality of connected Clouds; and display an index of the integrated services on a user interface. Using this system and method will allow for multiple disparate services, offered by different partners, across unrelated, physically distinct Clouds to be presented as an index of integrated services.

Abstract: Registration of a plurality of customers, each having an information technology infrastructure, with a manager of remote services is facilitated. Registration of a plurality of service partners with the manager is also facilitated. The manager detects an issue with a given one of the information technology infrastructures of a given one of the customers. Responsive to the detecting, responses from a subset of the service partners for potential selection to address the issue are facilitated. The partners in the subset are ranked based at least in part on ratings of the service partners in a rating database. A top-ranked one of the service partners is assigned to address the issue.

Abstract: A method and system of masking a group of related data values. A record in an unmasked data file of n records is read. The record includes a first set of data values of data elements included in a related data group (RDG) and one or more data values of one or more data elements external to the RDG. A random number k is received. A second set of data values is retrieved from a lookup table that associates n key values with n sets of data values. Retrieving the second set of data values includes identifying that the second set of data values is associated with a key value of k. The n sets of data values are included in the umnasked data file's n records. The record is masked by replacing the first set of data values with the retrieved second set of data values.

Abstract: A method, a system, and an apparatus for identifying and correcting sources of problems in synthesized speech which is generated using a concatenative text-to-speech (CTTS) technique. The method can include the step of displaying a waveform corresponding to synthesized speech generated from concatenated phonetic units. The synthesized speech can be generated from text input received from a user. The method further can include the step of displaying parameters corresponding to at least one of the phonetic units. The method can include the step of displaying the original recordings containing selected phonetic units. An editing input can be received from the user and the parameters can be adjusted in accordance with the editing input.

Abstract: A machine, system and method for user-guided teaching of deictic references and referent objects of deictic references to a conversational system. The machine includes a system bus for communicating data and control signals received from the conversational system to the computer system, a data and control bus for connecting devices and sensors in the machine, a bridge module for connecting the data and control bus to the system bus, respective machine subsystems coupled to the data and control bus, the respective machine subsystems having a respective user interface for receiving a deictic reference from a user, a memory coupled to the system bus for storing deictic references and objects of the deictic references learned by the conversational system and a central processing unit coupled to the system bus for executing the deictic references with respect to the objects of the deictic references learned.

Abstract: A machine, system and method for user-guided teaching and modifications of voice commands and actions to be executed by a conversational learning system. The machine includes a system bus for communicating data and control signals received from the conversational learning system to a computer system, a vehicle data and control bus for connecting devices and sensors in the machine, a bridge module for connecting the vehicle data and control bus to the system bus, machine subsystems coupled to the vehicle data and control bus having a respective user interface for receiving a voice command or input signal from a user, a memory coupled to the system bus for storing action command sequences learned for a new voice command and a processing unit coupled to the system bus for automatically executing the action command sequences learned when the new voice command is spoken.

Abstract: Speakers are automatically identified in an audio (or video) source. The audio information is processed to identify potential segment boundaries. Homogeneous segments are clustered substantially concurrently with the segmentation routine, and a cluster identifier is assigned to each identified segment. A segmentation subroutine identifies potential segment boundaries using the BIC model selection criterion. A clustering subroutine uses a BIC model selection criterion to assign a cluster identifier to each of the identified segments. If the difference of BIC values for each model is positive, the two clusters are merged.

Abstract: Systems and methods are provided for processing and executing commands in automated systems. For example, command processing systems and methods are provided which can automatically determine, evaluate or otherwise predict consequences of execution of misrecognized or misinterpreted user commands in automated systems and thus prevent undesirable or dangerous consequences that can result from execution of misrecognized/misinterpreted commands.