Abstract: A computer readable medium embodies a program of machine-readable instructions executable by a processing apparatus to perform operations including determining information corresponding to a number of differences in distances between ending points of journeys taken by a vehicle and starting points of consecutive journeys taken by the vehicle, and transmitting one or more representations of the information. Another computer readable medium tangibly includes instructions for, for each of a number of vehicles, receiving one or more scores corresponding to a vehicle, and determining a ranked list containing at least a portion of the scores, and outputting the ranked list. Another computer readable medium includes instructions for, for each of a number of vehicles, receiving information corresponding to a vehicle, using one or more metrics, calculating one or more values from the received information, and communicating one or more representations of the one or more value to one or more entities.

Abstract: Utility meter readings generated at low sampling rates are disaggregated to identify consumer usage activities. Time intervals between readings can include a plurality of consumer usage activities. By employing a model which recognizes associations among consumer usage activities, effective disaggregation is possible using only aggregated consumption data and interval start times. Consumers and utility managers can design and assess conservation programs based on the disaggregated consumption usage activities.

Abstract: A computer program product includes a tangible storage medium readable by a processing circuit and on which instructions are stored for execution by the processing circuit for performing a method. The method includes, upon receiving utility consumption data of a group of elements, defining clusters of elements by like geography and like utility consumption, evaluating a significance of each cluster by comparing an average utility consumption within the cluster with utility consumption of elements neighboring the cluster and determining from a result of the evaluating which clusters exhibit significant differences in utility consumption from the neighboring elements and defining those clusters as regional outliers.

Abstract: Access is obtained to call data records (or other data) for a plurality of mobile telephony users. The call data records (or other data) include location-time sequences. For each of the mobile telephony users, corresponding ones of the location-time sequences are segmented into trips; a home-work-school classification model is used to determine a home location and a work-school location, based on the trips; and a trip purpose classification model is used to assign each of the trips a purpose label, based at least on comparing at least one of a start location and an end location for each one of the trips to at least one of the home location and the work-school location determined using the home-work-school classification model. The trips are aggregated into purpose based origin-destination categories based at least on the purpose labels, time ranges of the location-time sequences, and the start and end locations.

Abstract: Interoperability is enabled between participants in a network by determining values associated with a value metric defined for at least a portion of the network. Information flow is directed between two or more of the participants based at least in part on semantic models corresponding to the participants and on the values associated with the value metric. The semantic models may define interactions between the participants and define at least a portion of information produced or consumed by the participants. The determination of the values and the direction of the information flow may be performed multiple times in order to modify the one or more value metrics. The direction of information flow may allow participants to be deleted from the network, may allow participants to be added to the network, or may allow behavior of the participants to be modified.

Abstract: Detecting appliance in a building, in one aspect, may comprise receiving meter data associated with energy consumption, the meter data comprising at least energy consumption data associated with usage of the appliance, receiving customer data associated with the meter data, extracting features for training a model for detecting the appliance, based on at least the meter data and the customer data, and constructing the model based on the features.

Abstract: Detecting appliance in a building, in one aspect, may comprise receiving meter data associated with energy consumption, the meter data comprising at least energy consumption data associated with usage of the appliance, receiving customer data associated with the meter data, extracting features for training a model for detecting the appliance, based on at least the meter data and the customer data, and constructing the model based on the features.

Abstract: Providing an end-to-end citizen engagement, in one aspect, may comprise obtaining data of multiple disintegrated sources from one or more of communication and social computing channels via one or more adapters. Data refactoring and management, integration and process orchestration of the data according to a data model as data attributes of the data model may be provided. One or more analytics may be performed based on the data attributes stored according to the data model and input specified to the one or more analytics. One or more results computed by performing the one or more analytics may be provided. One or more application logics supporting one or more front-end applications may be produced. One or more front-end applications for automated sensing of user activities and sensor-based personal assistant capability may be provided.

Abstract: A GPS-enabled cellular electronic device is operated in an indoor mode. An increase in strength of a cellular signal is detected at the GPS-enabled cellular electronic device. Responsive at least to the increase in cellular signal strength, the GPS-enabled cellular electronic device is transitioned to an outdoor testing mode. Detecting is carried out to determine whether movement of the GPS-enabled cellular electronic device occurs during the outdoor testing mode. If so, the GPS-enabled cellular electronic device is transitioned to an outdoor mode.

Abstract: A GPS-enabled cellular electronic device is operated in an indoor mode. An increase in strength of a cellular signal is detected at the GPS-enabled cellular electronic device. Responsive at least to the increase in cellular signal strength, the GPS-enabled cellular electronic device is transitioned to an outdoor testing mode. Detecting is carried out to determine whether movement of the GPS-enabled cellular electronic device occurs during the outdoor testing mode. If so, the GPS-enabled cellular electronic device is transitioned to an outdoor mode.

Abstract: Access is obtained to call data records (or other data) for a plurality of mobile telephony users. The call data records (or other data) include location-time sequences. For each of the mobile telephony users, corresponding ones of the location-time sequences are segmented into trips; a home-work-school classification model is used to determine a home location and a work-school location, based on the trips; and a trip purpose classification model is used to assign each of the trips a purpose label, based at least on comparing at least one of a start location and an end location for each one of the trips to at least one of the home location and the work-school location determined using the home-work-school classification model. The trips are aggregated into purpose based origin-destination categories based at least on the purpose labels, time ranges of the location-time sequences, and the start and end locations.

Abstract: A method for implementing inter-domain information quality assessment includes calculating relationships among domains in a knowledge base by identifying features that respectively define each of the domains and identifying domains having correlating features. The method also includes assigning values to pairs of the domains that reflect a closeness of the relationships based upon the correlating features. The method further includes evaluating a reputation of an entity in one domain based on past performance of the entity with respect to another domain where the other domain is determined, via the assigned values, to be related to the domain. The past performance of the entity indicates capabilities of the entity to render accurate predictions about events in a particular domain. The method also includes calculating a value representing the reputation of the entity with respect to the domain based upon the evaluation and assigning the value representing the reputation to the entity.

Abstract: A method for implementing information quality assessment includes receiving a value relating to a predicted outcome of an event from each of an entity and at least one other entity and a reputation score for the entity and the other entity. The method also includes generating a collective prediction value for the event that reflects a collective prediction for the event. The collective prediction value is generated from predicted outcome values from the entity and the other entity. The collective prediction value is calculated as a function of reputation scores corresponding to the entity and the other entity.

Abstract: A GPS-enabled cellular electronic device is operated in an indoor mode. An increase in strength of a cellular signal is detected at the GPS-enabled cellular electronic device. Responsive at least to the increase in cellular signal strength, the GPS-enabled cellular electronic device is transitioned to an outdoor testing mode. Detecting is carried out to determine whether movement of the GPS-enabled cellular electronic device occurs during the outdoor testing mode. If so, the GPS-enabled cellular electronic device is transitioned to an outdoor mode.

Abstract: A computer program product includes a tangible storage medium readable by a processing circuit and on which instructions are stored for execution by the processing circuit for performing a method. The method includes, upon receiving utility consumption data of a group of elements, defining clusters of elements by like geography and like utility consumption, evaluating a significance of each cluster by comparing an average utility consumption within the cluster with utility consumption of elements neighboring the cluster and determining from a result of the evaluating which clusters exhibit significant differences in utility consumption from the neighboring elements and defining those clusters as regional outliers.

Abstract: Utility meter readings generated at low sampling rates are disaggregated to identify consumer usage activities. Time intervals between readings can include a plurality of consumer usage activities. By employing a model which recognizes associations among consumer usage activities, effective disaggregation is possible using only aggregated consumption data and interval start times. Consumers and utility managers can design and assess conservation programs based on the disaggregated consumption usage activities.

Abstract: A cross descriptor learning system, method and program product therefor. The system extracts descriptors from unlabeled exemplars. For each unlabeled exemplar, a cross predictor uses each descriptor to generate labels for other descriptor. An automatic label generator also generates labels for the same unlabeled exemplars or, optionally, for labeled exemplars. A label predictor results for each descriptor by combining labels from the cross predictor with labels from the automatic label generator.

Abstract: Methods and apparatus for optimizing resource allocation among data analysis functions in a classification system are provided. Each of the data analysis functions is characterized as a set of operating points in accordance with at least one of resource requirements and analysis quality. An operating point for each of the data analysis functions is selected in accordance with one or more constraints. The analysis functions are applied at selected operating points to optimize resource allocation among the data analysis functions in the classification system.

Abstract: A method is disclosed that includes, for a set of passages of a vehicle, where each passage is associated with at least one confidence level, applying at least one heuristic to confidence levels corresponding to the set to determine at least one score. The method also includes performing the applying at least one heuristic for a number of sets of passages of a number of vehicles and selecting a number of the sets based on their associated at least one scores. The method additionally includes outputting identifications corresponding to each of the selected sets. Apparatus and computer readable media are also disclosed.

Abstract: A computer readable medium embodies a program of machine-readable instructions executable by a processing apparatus to perform operations including determining information corresponding to a number of differences in distances between ending points of journeys taken by a vehicle and starting points of consecutive journeys taken by the vehicle, and transmitting one or more representations of the information. Another computer readable medium tangibly includes instructions for, for each of a number of vehicles, receiving one or more scores corresponding to a vehicle, and determining a ranked list containing at least a portion of the scores, and outputting the ranked list. Another computer readable medium includes instructions for, for each of a number of vehicles, receiving information corresponding to a vehicle, using one or more metrics, calculating one or more values from the received information, and communicating one or more representations of the one or more value to one or more entities.