A method for automatically boxing ice cream type products allows, via an apparatus with simple mechanical configuration, a sequence of boxing steps to be performed, keeping constant the number of products boxed from one boxing sequence to another, in consideration of possible variations, from one boxing sequence to another, in the spatial distribution of absences of product on the transport system, operating between the apparatus for production of the products and the boxing unit, with the boxing unit being configured, for each boxing sequence, for picking up the products and transferring them into at least one box. The apparatus is configured to automatically perform the method.

A system that employs a third-party accessible application programming interface (API) to generate symbology for a three-dimensional view is disclosed. In embodiments, the third-party accessible API is running on or configured to communicate with at least one controller for an aircraft display system. The third-party accessible API is configured to receive a set of parameters for generating three-dimensional symbology. The controller is configured to receive the three-dimensional symbology from the third-party accessible API. The controller is further configured to generate a three-dimensional view that includes proprietary symbology and the three-dimensional symbology from the third-party accessible API at a display of the aircraft display system.

A control method performed by a controller includes calculating times required for a worker to load, on an automated guided vehicle, multiple articles placed in multiple locations regarding multiple cases among which a stop situation of the automated guided vehicle where the worker loads the articles varies and determining a position in which the automated guided vehicle is to be stopped, based on the calculated times.

A method for updating cloud resource tags is provided. The tag associated with a cloud resource may assign the cloud resource to one or more categories to enable tracking of the cloud resource. The method may include determining, based on a synchronization profile, the scope of the update. For example, the scope of the update may encompass individual resources, groups of resources, and/or subscriptions. A metadata data store may be queried to retrieve mapping rules corresponding to tags of resources from one or more cloud service providers that are within the scope of the update. If the value of a tag does not match the value specified by the corresponding mapping rule, the value of the tag may be updated to match the value specified by the mapping rule. Related systems and articles of manufacture, including computer program products, are also provided.

Disclosed are various embodiments for tracking the flow of data through a network environment. A monitor can detect that a data transaction event has occurred. Then, the monitor can identify data involved in the data transaction event. Next, a trace identifier can be assigned to the data involved in the data transaction event. Subsequently, a transaction data subset representing a subset of the data involved in the data transaction event that is subject to a common data processing event can be identified. Then, a span identifier can be assigned to the transaction data subset. Next, a correlation identifier can be link to a combination of the span identifier and the trace identifier. Finally, a transaction event record can be written to a distributed ledger, the transaction event record comprising the span identifier and the transaction data subset.

A system and method for collecting and processing data over a communications network. A data mining marshaller module associates each plugin to a particular data source and manages the plugin to periodically retrieve unstructured data from the data source based on a plurality of data items to be monitored on behalf of a plurality of users. The plugins convert unstructured data received from the data sources to structured data and the data marshaller module stores the structured data in a database. This enables the system and method to aggregate and display the structured data in multiple graphical representations according to the user's preference.

A system for storing and moving data based on the location of a user or a change in location of a user is described herein. Data associated with a user may be stored at one or more storage devices associated with a location of the user. Some or all of the data associated with the user may be moved to one or more other storage devices if, for example, the user moves to a different location or is expected to move to a different location, so that the user's data may be more efficiently accessed by the user.

Provided are techniques for optimized content object storage service for large scale content. A content object file is created. An index entry for the content object file is created with a content object key and a content object location. The content object file is appended to an aggregated file on a storage node. In response to a request to retrieve the content object file from the aggregated file, the content object key is used to access the content object location that describes the storage node, a name of the aggregated file, an offset into the aggregated file, and a size of the content object file to retrieve the content object file.

Methods, apparatuses, and computer-readable products for selecting tracks. A plurality of request parameters are received from a client device. Based on those request parameters, plurality of bans, history track attributes, and artist identifiers are loaded from a database. A most recent discovery track is calculated based on the plurality of histories and the plurality of artist identifiers. An artist identifier is repeatedly selected from the plurality of artist identifiers along with a track type from a set of track types until a predetermined number of artist identifier and track type pairs have been selected. A plurality of candidate tracks for each selected artist identifier are loaded from a database. One track of the plurality of candidate tracks is repeatedly selected for each artist identifier and track type pair until one track has been selected for each pair of the predetermined number of artist identifier and track type pairs. The predetermined number of tracks that have been selected are returned to the client device.

Methods and apparatus are provided for using machine learning to estimate query resource consumption in a massively parallel processing database (MPPDB). In various embodiments, the machine learning may jointly perform query resource consumption estimation for a query and resource extreme events detection together, utilize an adaptive kernel that is configured to learn most optimal similarity relation metric for data from each system settings, and utilize multi-level stacking technology configured to leverage outputs of diverse base classifier models. Advantages and benefits of the disclosed embodiments include providing faster and more reliable system performance and avoiding resource issues such as out of memory (OOM) occurrences.