Abstract: Embodiments of the present invention provide methods, computer program products, and systems for scheduling a meeting. Embodiments of the present invention can be used to calculate a level of criticality and flexibility for each unavailable member of a set of members of a meeting that can be used to prioritize unavailable members of the meeting. Embodiments of the present invention can be used to identify candidate meeting times based, at least in part, on the level of criticality and flexibility for each unavailable member.

Abstract: A method and system for improving an automated hardware apparatus failure prediction system is provided. The method includes automatically retrieving operational data associated with operation of a hardware device being monitored for potential failure. Differing time frame software windows associated with observing operational data and hardware device are determined and the operational data is analyzed. In response, an apparatus malfunction prediction software application and a component prediction software application is generated. Features associated with execution of the software applications are generated and a first group of features are added to software code of the apparatus malfunction prediction software application. A second group of features are additionally added to software code of the component prediction software application.

Abstract: A tool for protecting outdoor objects from weather related damage. Responsive to a registration request, the tool registers an object and an originating location where the object is currently located. The tool determines whether a risk threshold for the object is exceeded based, at least in part, on weather conditions at the originating location. Responsive to a determination that the risk threshold for the object is exceeded, the tool instructs one or more drones to relocate the object from an originating location to a protected location that is protected from the weather conditions.

Abstract: A parking assistance management system and method for assisting a parking of a vehicle based on a customized egress requirements is provided. The method includes the steps of identifying a user entering a vehicle, calculating a minimum egress space of the user, required for an egress of the user from the vehicle, detecting a parking space proximate at least one object, determining a viability of the parking space based on the minimum egress space, verifying that a distance between the vehicle and the at least one object is greater than the minimum egress space, when the vehicle is parked in the parking space, and broadcasting the minimum egress space to be received by other vehicles.

Abstract: A method and associated computer program product for providing targeted digital advertisements to a user. The method includes receiving a detected electromagnetic noise signal of one or more objects, comparing the detected electromagnetic noise signal to one or more stored electromagnetic noise signals associated with one or more objects, and determining an identity of the one or more objects based on the comparison between the detected electromagnetic noise signal the stored electromagnetic noise signals. The method further includes providing targeted digital advertisement(s) to the user based on the determined identity of the one or more objects.

Abstract: The present invention is a method and system to assist people traveling together through a transport hub from a current location to a destination location using a smart portable personal computing devices which provide personal data, travel data and transport hub data. The method provides for sub-groups of traveler's having common travel preferences, and it maps routes according to those preferences for the group members to travel through the transport hub together. Continuous monitoring of values provides an alert on each sub-group member's personal computing device when the personal data, travel data, transport hub data, or predetermined parameters change.

Abstract: The present invention is a method and system to assist a person traveling through a transport hub from a current location to a destination location with a smart portable computing device which provides personal data, travel data and transport hub data. The method maps a route according to personal preferences for the person to travel through the transport hub. Continuous monitoring of values provides an alert when the personal data, travel data, transport hub data, or predetermined parameters change.

Abstract: A parking assistance management system and method for assisting a parking of a vehicle based on a customized egress requirements is provided. The method includes the steps of identifying a user entering a vehicle, calculating a minimum egress space of the user, required for an egress of the user from the vehicle, detecting a parking space proximate at least one object, determining a viability of the parking space based on the minimum egress space, verifying that a distance between the vehicle and the at least one object is greater than the minimum egress space, when the vehicle is parked in the parking space, and broadcasting the minimum egress space to be received by other vehicles.

Abstract: In an approach for detecting one or more applications in a VM, one or more processors establish a time duration. One or more processors detect two or more files, each file in the two or more files having a time stamp time that differs from a last modified time stamp time of at least one other file in the two or more files by no more than the time duration. One or more processors record an identifier for each file of the two or more files, a location, a name, and a last modified time stamp time of each file of the two or more files. One or more processors map the two or more files to an application installed on the VM.

Abstract: Automatic teller machine network management control system executes a deterministic optimization process based on a deterministic forecasted withdrawal demand to determine a cash refill amount, and executes a stochastic simulation process to determine an overall automatic teller machine network management cost based on a stochastic forecasted withdrawal demand and the cash refill amount. The executing of the deterministic optimization process and the executing of the stochastic simulation process are iterated based on updated scaling parameter from the stochastic simulation process and the cash refill amount determined by the deterministic optimization process at current iteration until a termination threshold is met.

Abstract: Access is obtained to a plurality of information technology services problem tickets. At least a first subset of the tickets include free text tickets with server names embedded in unstructured text fields. The server names are extracted from the first subset of the tickets via a statistical machine learning technique. Using the extracted server names, those of the first subset of the tickets from which the server names have been extracted are linked to corresponding server entries in a configuration information database to facilitate resolution of problems associated with the first subset of the tickets from which the server names have been extracted; and/or at least one of the extracted server names is identified as missing from a list of known server names.

Abstract: In an approach for detecting one or more applications in a VM, one or more processors establish a time duration. One or more processors detect two or more files, each file in the two or more files having a time stamp time that differs from a last modified time stamp time of at least one other file in the two or more files by no more than the time duration. One or more processors record an identifier for each file of the two or more files, a location, a name, and a last modified time stamp time of each file of the two or more files. One or more processors map the two or more files to an application installed on the VM.

Abstract: Feature sequences are extracted, as individual letters separated by spaces, from a digital representation of a proper name in a first language to obtain a first orthographic feature sequence set; and from a digital representation of a proper name in a second language to obtain a second orthographic feature sequence set. The first and second orthographic feature sequence sets (a transliteration pair) are compared to determine a similarity score, based on a similarity model including a plurality of conditional probabilities of known orthographic feature sequences in the first language given known orthographic feature sequences in the second language and a plurality of conditional probabilities of known orthographic feature sequences in the second language given known orthographic feature sequences in the first language. Based on at least one threshold value, it is determined whether the transliteration pair belong to an identical actual proper name.

Abstract: Aspects of the present invention provide a tool for analyzing and remediating an update-related failure. In an embodiment, a failure state of a computer system that has been arrived at as a result of an update is captured. A semantic diff that includes the difference between the failure state and at least one of an original state or a completion state is then computed. This semantic diff is transformed into a feature vector format. Then the transformed semantic diff is analyzed to determine a remediation for the update. Failure and/or resolution signatures can be constructed using the semantic diff and contextual data, and these signatures can be used in comparison and analysis of failures and resolutions.

Abstract: Access is obtained to a plurality of information technology services problem tickets. At least a first subset of the tickets include free text tickets with server names embedded in unstructured text fields. The server names are extracted from the first subset of the tickets via a statistical machine learning technique. Using the extracted server names, those of the first subset of the tickets from which the server names have been extracted are linked to corresponding server entries in a configuration information database to facilitate resolution of problems associated with the first subset of the tickets from which the server names have been extracted; and/or at least one of the extracted server names is identified as missing from a list of known server names.

Abstract: Aspects of the present invention provide a tool for analyzing and remediating an update-related failure. In an embodiment, a failure state of a computer system that has been arrived at as a result of an update is captured. A semantic diff that includes the difference between the failure state and at least one of an original state or a completion state is then computed. This semantic diff is transformed into a feature vector format. Then the transformed semantic diff is analyzed to determine a remediation for the update. Failure and/or resolution signatures can be constructed using the semantic diff and contextual data, and these signatures can be used in comparison and analysis of failures and resolutions.

Abstract: Aspects of the present invention provide a tool for analyzing and remediating an update-related failure. In an embodiment, a failure state of a computer system that has been arrived at as a result of an update is captured. A semantic diff that includes the difference between the failure state and at least one of an original state or a completion state is then computed. This semantic diff is transformed into a feature vector format. Then the transformed semantic diff is analyzed to determine a remediation for the update. Failure and/or resolution signatures can be constructed using the semantic diff and contextual data, and these signatures can be used in comparison and analysis of failures and resolutions.

Abstract: A call routing system is created by receiving a set of initial target classes and a corresponding set of topic descriptions. Non-overlapping semantic tokens in the set of topic descriptions are identified. A set of clear target classes from the non-overlapping semantic tokens and the initial target classes is identified. Overlapping semantic tokens from the set of topic descriptions are identified. A set of vague classes is identified from the overlapping semantic tokens and the initial target classes. A set of disambiguation dialogues and a set of grammar prompts is generated according to the overlapping and non-overlapping semantic tokens. The call routing system is then created based on the set of clear target classes, the set of vague target classes, and the set of disambiguation dialogues.

Abstract: A method (and system) of handling out-of-grammar utterances includes building a statistical language model for a dialog state using, generating sentences and semantic interpretations for the sentences using finite state grammar, building a statistical action classifier, receiving user input, carrying out recognition with the finite state grammar, carrying out recognition with the statistical language model, using the statistical action classifier to find semantic interpretations, comparing an output from the finite state grammar and an output from the statistical language model, deciding which output of the output from the finite state grammar and the output from the statistical language model to keep as a final recognition output, selecting the final recognition output, and outputting the final recognition result, wherein the statistical action classifier, the finite state grammar and the statistical language model are used in conjunction to carry out speech recognition and interpretation.

Abstract: A method of processing limited natural language data to automatically develop an optimal feature set, bypassing the standard Wizard of OZ (WOZ) approach. Natural language understanding models process existing data from other domains, such as the Internet, for domain-specific adaptation through the use of an optimal feature set. When the optimal feature set is passed on to any engine, the optimal feature set produces robust models that can be used for natural language call routing.