Abstract: In an industrial plant, various equipment are used to handle processing of raw materials. Considering complexities involved in the processes and the equipment, constant monitoring is required to obtain desired results. The disclosure herein generally relates to industrial process and equipment monitoring, and, more particularly, to data analysis for Just In Time (JIT) characterization of raw materials in any process industry. The system collects real-time plant data among other inputs, and performs characterization of raw materials being used in the plant. The characterization involves categorizing the raw materials into different classes. The class information is further used to predict performance of the industrial plant, and in turn to generate recommendations for optimization of the industrial plant.

Abstract: An online concierge system provides arrival prediction services for a user placing an order to be retrieved by a shopper. An order may have a predicted arrival time predicted by a model that may err under some conditions. To reduce the likelihood of providing the predicted arrival time (and related services) when the arrival time may be incorrect, the prediction model and related services are throttled (e.g., selectively provided) based on one or more predicted delivery metrics, which may include a time to accept the order by a shopper and a predicted portion of late orders that will be delivered past the respective predicted arrival times. The predicted delivery metrics are compared with thresholds and the result of the comparison used to selectively provide, or not provide, the predicted delivery services.

Abstract: Input data that includes one or more observations made at one or more corresponding time slices is received. The input data is provided to one or more time-based prediction models that predict one or more values for one or more future time slices. One or more randomness compensating factors are determined. The one or more randomness compensating factors correspond to one or more features indicative of one or more events associated with the one or more corresponding time slices. Based at least in part on the determining of the one or more randomness compensating factors and the prediction of the one or more time-based prediction models, a second one or more values for at least one of the one or more future time slices are predicted. In response to the predicting of the second one or more values, an indication associated with the predicted second one or more values are presented to a user computer device.

Abstract: In some examples, a computer-implemented collaboration assessment model identifies actions of each of two or more individuals depicted in video data, identify, based at least on the identified actions of each of the two or more individuals depicted in the video data, first behaviors at a first collaboration assessment level, identify, based at least on the identified actions of each of the two or more individuals depicted in the video data, second behaviors at a second collaboration assessment level different from the first collaboration assessment level, and generate and output, based at least on the first behaviors at the first collaboration assessment level and the second behaviors at the second collaboration assessment level, an indication of at least one of an assessment of a collaboration effort of the two or more individuals or respective assessments of individual contributions of the two or more individuals to the collaboration effort.

Abstract: In some implementations, a device may receive, from one or more data sources, information indicating a plurality of data sets, where the plurality of data sets indicate information associated with respective physical locations or online locations. The device may identify a data set, from the plurality of data sets, that indicates information associated with an online location, where the information includes at least one of an entity name, an address, a phone number, a uniform resource locator, an entity identifier, or metadata. The device may parse the data set to identify information for a set of features. The device may analyze the information for the set of features to determine a brand associated with the online location. The device may pair the online location with the brand in the database such that the online location is linked with a first physical location of the brand in the database.

Abstract: A system is (10) for determining a flight rest scenario for an aircraft crew (12) comprising at least two pilots able to fly the aircraft (12) during a flight. The system (10) comprises a display device (16) comprising a screen (20), a module (32) for acquiring flight context and constraints inputs, and a module (34) for determining at least one crew rest scenario for the flight from the acquired inputs. The determination module (34) is able to determine the rest scenario from at least one simulation by a biomathematical fatigue model having at least one of the acquired inputs as variables. The system also includes a display management module (36) configured to display the determined rest scenario on the screen (20) of the display device (16).

Abstract: A system for presenting properties includes: a server, coupled to client devices via the internet, the server including: a unification module, that periodically accesses data sources for listings, where the data sources include on-market sources and off-market sources, and that retrieves the listings from the sources, converts the listings to a common format, and stores the listings in the common format, and that detects deficiencies in the listings that cannot be resolved by accessing public data sources; and an intelligence module, that receives a request from the unification module for data that can resolve the deficiencies, and that accesses an external entities database to select external entities that can provide the data, and that automatically generates requests to the external entities to provide the data, and that automatically receives the data to enable the unification module to update a parcel record in a parcel database associated with the deficiencies.

Abstract: A system and method are disclosed including a computer and a processor and memory. The computer receives option constraint limiting values of a second option parameter based on a value for a first option parameter, wherein the first option parameter and the second option parameter comprise mix rates for options for a configuration. The computer further generates an interactive element for setting values of the first option parameter and an interactive element for setting the value for the second option parameter and displays the one or more interactive elements. The computer still further, in response to a value being set for the first option parameter, calculates limits for the values of the second option parameters and prevents the interactive element for setting the value for the second option parameter to be set to values outside of the calculated limits.

Abstract: Disclosed are a method and device for managing a project by using data filtering. A project is efficiently operated by dividing a project based on a minimum unit task and designing a plurality of child projects connected in sequential order such that a plurality of child projects proceed in order.

Abstract: A graphical user interface provides visualization of operation tasks for a well ordered in a sequence. The graphical user interface shows different types of timing for the operation tasks, such as planned timing, estimated timing, and actual timing for the operation tasks. Different types of timing are arranged in a hierarchy so that setting one type of timing for an operation task overrides another type of timing for the operation task. Changes to timing of an operation task are automatically propagated to other operation tasks.

Abstract: Forward-looking sales activities are poorly served by existing Customer Relationship Managements systems, as the customer information those systems maintain by definition does not include the speculatively interested “leads” pursued in initial sales contacts. An Enrichment database, asynchronously loaded with corporate and optionally individual contact information in anticipation of use, provides real-time access to information in support of such first customer contacts. The Enrichment information may also be used to expedite creation and revision of CRM records.

Abstract: An online concierge system assigns shoppers to fulfill orders from users. To allocate shoppers, the online concierge system predicts future supply and demand for the shoppers' services for different time windows. To forecast a supply of shoppers, the online concierge system trains a machine learning model that estimates future supply based on access to a shopper mobile application through which the shoppers obtain new assignments by shoppers. The online concierge system also forecasts future orders. The online concierge system estimates a supply gap in a future time period by selecting a target time to accept for shoppers to accept orders and determining a corresponding ratio of number of shoppers and number of orders. The online concierge system may adjust a number of shoppers allocated to the future time period to achieve the determined ratio number of shoppers and number of orders.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing optimized equipment allocation. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform optimized equipment allocation using at least one of equipment evaluation scoring machine learning models, equipment optimized allocation machine learning models, and equipment history events.

Abstract: Systems and method than generate an effective recipe file by selecting at least one of a functionality, a feature and a configuration option from a master recipe database, the selecting based on a business objective; and generating a customized resource by applying the effective recipe file to a first working copy of a resource selected from a master copy of resources.

Abstract: This invention is embodied in an energy yield optimization device that can be used to optimize energy yields for a utility-scale photovoltaic power plant. More specifically, this solution is directed to utility-scale photovoltaic power plants that have undulating (non-planar) topography. Because of the undulating topography, the rotating axles of the solar trackers will not necessarily be horizontal and would be expected to be different for each independent rotating axle in the field. The preferred solution claimed herein deploys a marching algorithm to find the preferred optimum solution.

Abstract: The invention synthesizes a social network, electronic commerce (including performance based advertisement and electronic payment), a mobile internet device (MID)/mobile wearable internet device and a machine learning algorithm(s). The synthesized social commerce integrates stored information and real time information/data/image(s) from an object/array of objects (Internet of Things (IoT)) and automated agents (bots). The machine learning algorithm(s) can include a software agent, a fuzzy logic algorithm, a predictive algorithm, an intelligence rendering algorithm and a self-learning (including relearning) algorithm.

Abstract: Systems and method than generate an effective recipe file by selecting at least one of a functionality, a feature and a configuration option from a master recipe database, the selecting based on a business objective; and generating a customized resource by applying the effective recipe file to a first working copy of a resource selected from a master copy of resources.

Abstract: Systems and methods for making predictions relating to products manufactured via a manufacturing process. A processor receives a plurality of input vectors associated with a plurality of output values and a plurality of time intervals. The processor clusters the plurality of input vectors based on the time intervals associated with the input vectors. The processor trains a machine learning model for each time interval of the plurality of time intervals, where the training of the machine learning model is based on the input vectors associated with the time interval, and the output values associated with the input vectors. The processor further trains a classifier for selecting one of the plurality of time intervals for input data received for a product. In one embodiment, the machine learning model associated with the time interval selected by the classifier is invoked to predict an output based on the input data.

Abstract: In a method for determining a financial amount for a logistical performance in a production system, and a production system having a vehicle for carrying out the method, an item of order information, in particular an item of driving-order information, is transmitted to a vehicle in the production system; the vehicle approaches the workstations in sequence, and an individual production-method step is performed at the respective workstation on the component transported by the vehicle in each case; the logistical performance is detected in the process, in particular the number of approached workstations, the traveled distance, and/or the number of components transported by the vehicle; and the detected logistical performance is transmitted via an Internet connection to a server, which is located at a position that is geographically at a distance from the production system.

Abstract: A method of interfacing a discrete digital workshop information system is provided, where the information system includes mutual integration among product lifecycle management (PLM), enterprise resource planning (ERP), a manufacturing execution system (MES), an energy management system (EMS), and a warehouse management system (WMS) of a finished product. A method of interfacing based on a data dictionary fusing different function datasets is proposed to solve the problems of a current discrete industry information system, such as single in function, a small amount of integrated information, a large number of “information islands” existing, incapable of achieving full-process informatization management and control, difficulty in product quality tracing and the like. By the method, it is possible to realize flexible production in a discrete manufacturing industry, precise management and control of a production process, significant improvement in product quality and significant reduction in operating costs.