Abstract: A computer-implemented method and system for providing job status information for an IoT device are disclosed. The method providing job status information includes receiving location information of an IoT device; receiving job assignment information for the IoT device; evaluating the location information to determine the job status for the IoT device based on a specified condition; and sharing the job status information for the IoT device. The system for providing job status information includes an IoT device, a job management platform (JMP) and a user interface, wherein the JMP further comprises a storage database for receiving location information of the IoT device and job assignment information for the IoT device; and an analytics engine for evaluating the location information to determine the job status for the IoT device based on a specified condition; and wherein the JMP shares the job status information for the IoT device.

Abstract: A computer-implemented method and system for detecting instances of missing data records in Usage Data Records (UDRs) generated for wireless services is disclosed. The system and method comprises recording a sequence of events related to transmission of data through at least one service element, transmitting the sequence of events as usage data records to a server for accounting and using an anomaly detection algorithm to detect instances of missing usage data records in the transmitted usage data records.

Abstract: The present invention relates generally to network communications, and more particularly to machine-to-machine (M2M) data communications. The present invention provides for a method, apparatus and computer program product for detecting anomalous performance event across a machine-to-machine (M2M) network and thereafter alerting users of performance issues in real-time or near real-time.

Abstract: The present invention is directed toward networks and more particularly to a method and system for providing information related to context-oriented billing in such networks. In one more embodiments, a computer implemented method provides for billing invoices in response to one or more of a customer's network elements which have been correlated with detailed network data, classified into one or more billing event categories, and rated in accordance with a predetermined hierarchy.

Abstract: A method and system for optimizing network access of a device on a cellular network are disclosed. The method includes receiving connectivity information from a device; compiling the received connectivity information as device analytics; specifying rules to maintain connectivity of the device to a network based on the device analytics; and automatically configuring the device in response to the rules to maintain connectivity of the device to the network. The system includes a back end system for receiving connectivity information from a device; an analytic system for compiling the received connectivity information as device analytics; a rules engine for specifying rules to maintain connectivity of the device to a network based on the device analytics; and a configuration module, wherein the configuration module automatically configures the device in response to the rules to maintain connectivity of the device to the network.

Abstract: The present invention is directed toward networks and more particularly to a method and system for providing information related to reconciliation billing in such networks. In one more embodiments, the computer implemented method for identifying discrepancies in billable events includes receiving application usage information regarding the one or more billable activities for one or more devices from an application provider core by a billing and analytic system; receiving cloud service usage information regarding the one or more billable activities for the one or more devices from a cloud operator providing cloud services by a billing and analytic system; comparing the received application usage information and the received cloud service usage information for one or more discrepancies in relation to one or more billable activities by a reconciliation engine; and reporting one or more identified discrepancies in accordance with the one or more billable activities.

Abstract: The present invention relates generally to network communications, and more particularly to machine-to-machine (M2M) data communications. The present invention provides for a method, apparatus and computer program product for detecting performance event data across a machine-to-machine (M2M) network indicative of anomalous performance of data and thereafter alerting users of performance issues in real-time or near real-time.

Abstract: A computer-implemented method and system for monitoring route compliance of moving devices are disclosed. The method for monitoring route compliance of moving devices includes determining parameters for a typical trip based on job description; defining compliance parameters for route compliance based on the determined parameters for the typical trip; comparing parameters of the trip for which compliance is to be determined to the defined compliance parameters; and determining if the trip for which compliance is to be determined falls within the defined compliance parameters.

Abstract: The present invention relates generally to network communications, and more particularly to machine-to-machine (M2M) data communications. The present invention provides for a method, apparatus and computer program product for detecting performance event data across a machine-to-machine (M2M) network indicative of anomalous performance of data and thereafter alerting users of performance issues in real-time or near real-time.

Abstract: A computer-implemented method and system for distinguishing job status through motion analysis are disclosed. The method includes receiving device information from a device, determining a predetermined set of features from the received device information, and applying rules to determine if the movement of the device can be classified as farming or non-farming activity. The system includes a device having a location tracking system and a server having a storage database, an analytics system and a rules engine, wherein the server receives device information transmitted by the device, the storage database stores the received device information, the analytics system analyzes the device information to determine a predetermined set of features from the received device information, and the rules engine provides rules to determine if the movement of the device can be classified as farming or non-farming activity.

Abstract: In one example embodiment, a computer-implemented method and system for learning places of interest are disclosed. The method includes learning and storing location information of at least one mobile device; detecting a location where no movement of the at least one mobile device has occurred over a pre-determined duration of time; determining whether the detected location is classified as a location of interest based on a predefined criteria; and clustering the learned location of interest into bigger groups based on location information of the learned location of interest using a pre-defined criteria.

Abstract: The present invention is directed toward networks and more particularly to a method and system for providing information related to reconciliation billing in such networks. In one more embodiments, the computer implemented method for identifying discrepancies in billable events includes receiving application usage information regarding the one or more billable activities for one or more devices from an application provider core by a billing and analytic system; receiving cloud service usage information regarding the one or more billable activities for the one or more devices from a cloud operator providing cloud services by a billing and analytic system; comparing the received application usage information and the received cloud service usage information for one or more discrepancies in relation to one or more billable activities by a reconciliation engine; and reporting one or more identified discrepancies in accordance with the one or more billable activities.

Abstract: The present invention is directed toward networks and more particularly to a method and system for providing information related to reconciliation billing in such networks. In one more embodiments, a computer implemented method provides for identifying discrepancies in billable events of one or more of a customer's network elements which have been compared with operator usage data.

Abstract: The present invention is directed toward networks and more particularly to a method and system for providing information related to context-oriented billing in such networks. In one more embodiments, a computer implemented method provides for billing invoices in response to one or more of a customer's network elements which have been correlated with detailed network data, classified into one or more billing event categories, and rated in accordance with a predetermined hierarchy.

Abstract: The present invention is directed toward networks and more particularly to a method and system for providing information related to context-oriented billing in such networks. In one more embodiments, a computer implemented method provides for billing invoices in response to one or more of a customer's network elements which have been correlated with detailed network data, classified into one or more billing event categories, and rated in accordance with a predetermined hierarchy.

Abstract: A computer implemented method is disclosed. The computer implemented method comprises providing a guaranteed price plan to a customer for a predetermined time period and learning about network element usage over the predetermined time period to provide a learned price plan. The computer implemented method also comprises determining a new price plan based on the learned price plan. Finally, the computer implemented method comprises utilizing the new price plan with customer's network elements.

Abstract: The present invention is directed toward networks and more particularly to a method and system for providing information related to context-oriented billing in such networks. In one more embodiments, a computer implemented method provides for billing invoices in response to one or more of a customer's network elements which have been correlated with detailed network data, classified into one or more billing event categories, and rated in accordance with a predetermined hierarchy.

Abstract: A system and method for managing transactional data in a mobile communication network utilizes selectively sampling of a portion of data of transactions to and from mobile communication devices of the mobile communication network. An extract, transform and load process is then performed one the sampled data of the transactions and the resulting data is stored in a warehouse database, which can be used for analytics reporting.

Abstract: The present invention relates generally to network communications, and more particularly to machine-to-machine (M2M) data communications. The present invention provides for a method, apparatus and computer program product for detecting performance event data across a machine-to-machine (M2M) network indicative of anomalous performance of data and thereafter alerting users of performance issues in real-time or near real-time.

Abstract: Computer-implemented methods, carrier media, and systems for determining sizes of defects detected on a wafer are provided. One computer-implemented method includes separating the defects into groups based on output acquired for the defects by multiple channels of an inspection system used to detect the defects on the wafer. The method also includes separating the defects in one or more of the groups into subgroups based on the output acquired for the defects by one or more of the multiple channels. In addition, the method includes determining the sizes of one or more of the defects in one or more of the subgroups separately based on the output acquired for the defects by only one of the multiple channels and a calibration parameter. The calibration parameter is different for each of the subgroups and is acquired by using another system to measure actual sizes of defects detected on other wafers.