Abstract: A method for sharing data between machine learning (ML) applications with a network training platform. The method includes: receiving a request to register a first ML application with the network training platform, wherein the request comprises first one or more parameters related to the first ML application; identifying at least one second ML application registered with the network training platform based on the first one or more parameters; identifying second one or more parameters related to the at least one second ML application; comparing the first one or more parameters with the second one or more parameters related to the at least one second ML application; and sharing, with the first ML application, predicted data corresponding to the at least one second ML application based on the comparing.

Abstract: A method and a sensor device for evaluating residual Sulphur in a cement preheater of a cement kiln, wherein the residual Sulphur is based on the values of the fuel Sulphur content, the fuel rate of consumption, the hotmeal quality and the clinker Sulphur content. A method for evaluating blockage in a cement preheater includes evaluating the residual Sulphur in the cement preheater, determining an agglomeration rate of Sulphur compounds agglomerating on an inner surface of the cement preheater based on the residual Sulphur, and evaluating a level of blockage in at least one predetermined pathway of the cement preheater using a blockage evaluation unit, wherein the level of blockage is based on the agglomeration rate.

Abstract: Examples provide on-time delivery prediction generation using a machine learning element for orders obtained from an order management component. The obtained order is analyzed to identify a plurality of order attributes. An initial value for each order attribute in the plurality of order attributes is calculated based on sensor data and telemetry data. An initial order-score for the obtained order is determined based on the initial values for each order attribute in the plurality of order attributes. An alternative order-score for the order is calculated after identifying an order attribute variable for the order and calculating updated values for each order attributes in the plurality of order attributes. After outputting the initial order-score and the alternative order-score for the order, with an indication of the order attribute variable associated with the alternative order-score, feedback for the order is received.

Abstract: This disclosure provides systems, methods and apparatus, including computer programs encoded on computer storage media for encapsulating and decapsulating packets for transmission via virtual private networks (VPNs). In one aspect, a packet is identified for transmission via a specified VPN. An ordered sequence of operations corresponding to the VPN may be received, with a set of parameters corresponding to the ordered sequence of operations. An encapsulated packet may be generated by performing the ordered sequence of operations on the packet using the set of parameters.

Abstract: Examples provide machine language (“ML”)-powered on-time delivery prediction generation for virtual orders obtained from an order management component (“OMC”). Predictions based on order factors deterministic to on-time delivery are output to the OMC. Predictions become increasingly accurate over time based on the accuracy of past delivery predictions and give the probabilistic chance of on-time delivery (the “order-score”) in real-time before an order for goods and/or services is dispatched. The OMC uses the order-score to react preemptively to mitigate delay factors on orders likely to arrive late, increasing the probability of on-time delivery. Customers are given confidence predicted arrival times are accurate enough for scheduling purposes. Providers more easily maintain and grow good reputations and revenue.

Abstract: A method, system and computer program product for improving performance of an enterprise service bus. A cache is used to store collections of service objects where each service object includes service meta-data associated with a web service application. The cache may be accessed by the enterprise service bus to service “generic queries” from the client instead of accessing the service registry. Further, the collections of service objects are decomposed into instances of the collections of service objects. These instances of the collections of service objects are stored in the cache which is used by the enterprise service bus to service “direct queries” from the client instead of accessing the service registry. By reducing the number of accesses to the service registry, the network traffic is lessened and the performance of the enterprise service bus is improved.

Abstract: A method, system and computer program product for improving performance of an enterprise service bus. A cache is used to store collections of service objects where each service object includes service meta-data associated with a web service application. The cache may be accessed by the enterprise service bus to service “generic queries” from the client instead of accessing the service registry. Further, the collections of service objects are decomposed into instances of the collections of service objects. These instances of the collections of service objects are stored in the cache which is used by the enterprise service bus to service “direct queries” from the client instead of accessing the service registry. By reducing the number of accesses to the service registry, the network traffic is lessened and the performance of the enterprise service bus is improved.

Abstract: The present invention provides a method, system and program product for locally analyzing (television) viewing behavior. Specifically, under the present invention, a single time interval of viewed programs is chunked into multiple time windows of viewed programs. Then, for each program within each time window, a conditional probability is calculated. The conditional probabilities are then compared to a noise threshold to determine recommended programs for each time window. The recommend programs can be added to a user profile and/or outputted to the viewer.