Abstract: A method for agronomic and agricultural monitoring includes designating an area for imaging, determining a flight path above the designated area, operating an unmanned aerial vehicle (UAV) along the flight path, acquiring images of the area using a camera system attached to the UAV, and processing the acquired images.

Abstract: Provided herein is technology relating to testing software and particularly, but not exclusively, to methods for identifying the cause of a failed software test using probabilistic graphical models and/or a rules engine to evaluate and sort test steps by likelihood of failure for dynamic applications.

Abstract: The present concepts relate to a differentiable user-item co-clustering (“DUICC”) model for recommendation and co-clustering. Users' interaction with items (e.g., content) may be centered around information co-clusters—groups of items and users that exhibit common consumption behavior. The DUICC model may learn fine-grained co-cluster structures of items and users based on their interaction data. The DUICC model can then leverage the learned latent co-cluster structures to calculate preference stores of the items for a user. The top scoring items may be presented to the user as recommendations.

Abstract: A computer-implemented system and method for creating forecast charts. The computer-implemented system includes a computing device, processor, and memory. The processor is configured to connect data sources to a website application. The processors are configured to retrieve, by the website application, unstructured data from the plurality of data sources. The processors are configured to format unstructured data and convert the unstructured data into structured data. The processors are configured to transform, by the website application, the structured data into one or more forecast charts by performing computations by using transformation methods. The structured data is used on dashboard templates, and independent metric templates, wherein at least one of dashboard template is selected from the plurality of dashboard templates presented over a user interface of the computing device by a user.

Abstract: Methods and systems are presented for facilitating migration of electronic shopping carts between devices. A user generates an electronic shopping cart based on interacting with a merchant website using a first device. In response to receiving a request for transferring the electronic shopping cart, cart data associated with the electronic shopping cart is obtained. The cart data is encoded, using a selected encoding technique, into a code, which can be a phrase, an emoji string, a QR code, or an image of a face that can be transferrable to a second device. The code is presented on the first device. In response to receiving the code from the second device, the electronic shopping cart is re-generated based on the cart data extracted from the code. The electronic shopping cart is made accessible to the user via the second device.

Abstract: A voice check-in platform includes a salon application associated with a voice capable device, wherein a user requests via voice an appointment for a salon service. The platform includes a location service in communication with the salon application for finding a salon nearby a user; a salon services API in communication with the salon application for finding a requested salon service and time for appointment for the salon; and a database interface responding to a request for making an appointment with the salon.

Abstract: Disclosed is a method for analyzing a risk of a cooperator supply chain. The method calculates a risk score based on text data associated with an evaluation target company, provides visual information on the risk score of the evaluation target company through a bar graph, a tracking graph, a scatter plot graph, a network diagram, and a map diagram, and generates a chat room for managing a supply chain between the evaluation target company and the cooperator to support real-time communication.

Abstract: Systems, methods and apparatus for data collection in an industrial environment are disclosed. A system according to one embodiment can include a plurality of input sensors operatively coupled to a production line, the plurality of sensors communicatively coupled to a data collector having a controller, the controller including: a data collection band circuit structured to determine at least one collection parameter for at least one of the plurality of sensors from which to process output data, a machine learning data analysis circuit structured to receive output data from the at least one of the plurality of sensors and learn output data patterns indicative of a state of the production line, and a response circuit structured to adjust an operating parameter of a component of the production line based on one of a mismatch or a match of the output data pattern and the state of the production line.

Abstract: In various embodiments, methods, systems, and computer program products are provided for estimating greenhouse gas emissions. In particular, methods, systems, and computer program products are presented for the task of quantifying emissions reduction from changes in stocks of soil organic carbon (SOC). The methods apply more generally to tasks that involve quantification of a total or average across a population of land (and/or possibly any space and any time) using measurements at a sample from that population. The sample may not be representative or unbiased. In some examples, estimating greenhouse gas emissions may apply to quantifying the total stock of SOC in land, the total nitrous oxide emissions in land and a time interval.

Abstract: A synchronized delivery system for delivering parcels directly to an alternate delivery location such as a locker bank in lieu of making any delivery attempt at a primary delivery location such as a home or office. The system may deliver parcels directly to the alternate delivery location when a related parcel is currently stored at the alternate delivery location awaiting pickup. A related parcel may include a parcel addressed to the same consignee, to a related consignee (e.g., such as a neighbor, roommate, or spouse), or to another authorized to pick up parcels on behalf of the consignee. When delivering parcels to alternate deliver locations, the system may facilitate a grouping of related parcels in a single locker.

Abstract: A method for a data capturing and structuring includes determining at least one data capture mode for processing a non-electronic data record into an electronic data record and selecting a record owner having a plurality of existing data records to be associated with the electronic data record. The method also includes capturing the non-electronic data record into the electronic data record and collecting metadata from data associated with the record owner and the electronic data record and data generated during the capturing. Further, the method includes creating structured data records by combining the electronic data record and the metadata and exporting the structured data records.

Abstract: A method and system for determining sentiment of an employee towards an organization comprises extracting structured and unstructured data from one or more structured data sources comprising structured datapoints and one or more unstructured data sources comprising unstructured datapoints. The method comprises building regression model on the plurality of structured datapoints to determine a relationship of structured datapoints amongst the structured datapoints, creating a first profile of the employee based on said relationship, creating a second profile of the employee by selecting one or more words from each unstructured datapoints by using a prestored vocabulary, assigning one or more scores, corresponding to said words, in context of corresponding each of the unstructured datapoints. Method comprises generating a matrix based on the first profile and the second profile indicating sentiments of employee towards organization.

Abstract: A reward program is a type of “loyalty marketing” that typically utilizes a formal scheme to promote or encourage specific actions or behavior by a target audience. For instance, credit card companies have been known to offer “cash back” rewards to cardholders for using a particular credit card over some other form of payment. As another example, airlines are known to offer “frequent flier” mile rewards for electing to fly on a particular airline. The frequent flier miles can be traded in for travel discounts. Loyalty marketing concepts can also be applied to website applications. For instance, a website reward program can allow visitors an opportunity to earn virtual awards, e.g.: badges, titles, points, etc. Visitors can also earn awards that translate into real-world benefits, such as discounts, vouchers, etc.

Abstract: Disclosed is a method for network slicing, which includes: determining a service keyword of a service intention after receiving the service intention from a user; converting the service intention into a network request according to the service keyword of the service intention on the basis of a pre-established mapping model, wherein, the network request comprises at least one network requirement index; determining a set of network slicing configuration parameters according to the network request and current network environment state on the basis of a network slicing model, wherein the network slicing model is a deep neural network model for determining network slicing configuration parameters according to a network request and a network environment state; and performing a network slicing according to the set of network slicing configuration parameters. The present disclosure also provides a device for network slicing and a computer readable storage medium.

Abstract: An neural network (NN) processor includes an input feature map buffer configured to store an input feature matrix, a weight buffer configured to store a weight matrix trained in a form of a, a transform circuit configured to perform a Walsh-Hadamard transform on an input feature vector obtained from the input feature matrix and a weight vector included in the weight matrix to output a transformed input feature vector and a transformed weight vector, and an arithmetic circuit configured to perform an element-wise multiplication (EWM) on the transformed input feature vector and the transformed weight vector.

Abstract: Aspects of the present disclosure involve systems, methods, computer program products, and the like, for managing software telephones and telephone services, such as customer service support or sales, for multiple clients. Methods consistent with the present disclosure may be implemented as non-transitory computer-readable storage medium, where a processor executes instructions out of a memory when services are provided or organized during a telephone call or a text message communication session. In general, a telephone or text messaging service may be managed along multiple different components including origination services, platform services, and termination services without introducing additional conferencing and/or secondary voice conferencing sessions to calls between clients and respective customers.

Abstract: An automated, multi-stage decommissioning method for business intelligence artifacts may comprise generating a classification for a business intelligence artifact in a business intelligence environment; determining, based on the classification, whether the business intelligence artifact is a target artifact to be decommissioned; and if the business intelligence artifact is determined to be a target artifact, then initiating a decommissioning process on the target artifact.

Abstract: The invention provides control systems and methodologies for controlling a process having computer-controlled equipment, which provide for optimized process performance according to one or more performance criteria, such as efficiency, component life expectancy, safety, emissions, noise, vibration, operational cost, or the like. More particularly, the subject invention provides for employing machine diagnostic and/or prognostic information in connection with optimizing an overall business operation over a time horizon.

Abstract: Described herein is a computer implemented method. A change event record of a change history dataset is processed by determining if the change event record matches any field matching records. The change event record matches a particular field matching record if it is determined that a change event record field identifier matches a field identifier of the particular field matching record and a new value associated with the change event record matches a comparison variable of the particular field matching record. In response to determining that the change event record matches a single field matching record, the change event record is associated with a unique field identifier of the single field matching record in a data store.

Abstract: Disclosed are particulate matter measuring device and a particulate matter information utilizing system, the particulate matter measuring device including: a particulate matter concentration measuring sensor configured to measure particulate matter concentration information; a location sensing module configured to select location information of a place where the particulate matter concentration information is measured by the particulate matter concentration measuring sensor; a communication module configured to communicate with an electronic device; and a control module configured to output a control signal to control the electronic device, based on the particulate matter concentration information and location information corresponding to the particulate matter concentration information.

Abstract: The techniques herein include using an input context to determine a suggested action and/or cluster. Explanations may also be determined and returned along with the suggested action. The explanations may include (i) one or more most similar cases to the suggested case (e.g., the case associated with the suggested action) and, optionally, a conviction score for each nearby cases; (ii) action probabilities, (iii) excluding cases and distances, (iv) archetype and/or counterfactual cases for the suggested action; (v) feature residuals; (vi) regional model complexity; (vii) fractional dimensionality; (viii) prediction conviction; (ix) feature prediction contribution; and/or other measures such as the ones discussed herein, including certainty. The explanation data may be used to determine whether to perform a suggested action.

Abstract: A method may include retrieving from a data store default values of intersections of a first type of characteristic of an entity and a second type of characteristics of the entity; presenting a first portion of a user interface on an electronic display device, the first portion of the user interface including an initial matrix of: a plurality of rows, a plurality of columns, wherein, the rows columns intersect to form a plurality of cells and the cells are populated with values based on the retrieved default values. The method may further include receiving a maturity value; calculating a weighted matrix of values based on the received maturity values; applying the weighted matrix to the values of the cells in the initial matrix to generate adjusted values for each of the cells in the initial matrix; and presenting an adjusted matrix based on the adjusted values.

Abstract: A system for identifying perishable products in a retail store based on analysis of image data and for automatically generating suggestions relating to the identified products is provided. The system may comprise at least one processor configured to: receive a set of images depicting a plurality of perishable products displayed on at least one shelving unit in a retail store; analyze the set of images to determine information about a displayed inventory of the plurality of perishable products; obtain information about additional perishable products scheduled to be displayed on the at least one shelving unit; use the information about the displayed inventory and the information about the additional perishable products to determine at least one suggestion regarding placement of perishable products in the retail store; and provide the at least one suggestion to an entity associated with the retail store.

Abstract: In some implementations, an event timeline that includes one or more interactions between a customer and a supplier may be determined. A starting value may be assigned to individual events in the event timeline. A sub-sequence comprising a portion of the event timeline that includes at least one reference event may be selected. A classifier may be used to determine a previous relative value for a previous event that occurred before the reference event and to determine a next relative value for a next event that occurred after the reference event until all events in the event timeline have been processed. The events in the event timeline may be traversed and a monetized value index assigned to individual events in the event timeline.

Abstract: The invention relates to a method for operating a machine for microlithography which has a multiplicity of machine components. According to one aspect, malfunctions of these machine components that occur during the operation of the machine are each describable by a symptom, wherein the method includes the following steps: creating a database in which a cause is in each case assigned to different combinations of these symptoms, automatically recording the symptoms occurring within a predetermined time interval when a problem occurs during the operation of the machine and automatically assigning a cause to the problem on the basis of the recorded symptoms and the database.

Abstract: Techniques are provided for provenance-based software script reuse. One method comprises extracting provenance data from source code including, for example, source code fragments, wherein the extracted provenance data indicates a control flow and a data flow of the source code; encapsulating source code fragments from the source code that satisfy one or more similarity criteria as a reusable source code fragment; and providing a repository of encapsulated reusable source code fragments for reuse during a development of new software scripts. The repository of encapsulated reusable source code fragments optionally comprises a searchable database further including, for example, the provenance data, data annotations, input parameters and generated results for the corresponding source code fragment.

Abstract: Described herein is a computer implemented method. The method comprises storing project data in relation to a plurality of projects in a data store. In response to determining that a project update process has been triggered for a particular project, a project owner is identified and a project update request is generated and communicated to the project owner. Project updates are received, and in response to determining that a subscriber update process has been triggered for a particular subscriber, one or more projects are identified and updates in respect of those projects are generated and communicated to the particular subscriber.

Abstract: A paint sprayer including a base and a plurality of components mounted on the base, including a gun mounted on the base, a head mounted on the gun and a nozzle mounted on the head, wherein the paint sprayer further includes at least one sensor.

Abstract: A build system stores source code in source code repositories and generates deployment artifacts from a build pipeline. The build system receives requirements associated with certification criteria for certifying a deployment artifact based on the source code. The build system executes a build pipeline including build tasks that compile the source code to generate executable files storing executable instructions. The build system evaluates the certification criteria based on results of execution of the build tasks. The build system determines whether the deployment artifact is a certified deployment artifact based on the result of evaluation of the certification criteria. The build system stores a software asset information document in a source code repository identifying software assets build using the source code repository, for example, as a YAML file.

Abstract: A method for delivering power to a grid. The method may include receiving a prediction of power generation for a renewable energy source (RES), receiving power level requirements of the grid, and receiving length of power delivery requirements of the grid. The method may further include determining a power delivery limit based on the prediction of power generation, the power level requirements, and the length of power delivery requirements. The method may further include delivering power to the grid according to the power delivery limit from the RES and an energy storage system (ESS) electrically coupled to the RES.

Abstract: The present disclosure relates to recommending points of interest to a plurality of users based on a type of each user as well as constraints associated with the points of interest. For example, one or more embodiments determine a user type for each user and determine user preferences based on the user type. Additionally, the system can determine resource constraints associated with each point of interest, indicating limitations on the capacity of each associated resource. The system can then provide recommendations to the plurality of users based on the user types and the resource constraints. In particular, the system can recommend points of interest that satisfy the preferences corresponding to each user type subject to the resource constraints of each point of interest. For example, one or more embodiments involve solving a linear program that takes into account user types to obtain recommendation policies subject to the resource constraints.

Abstract: A product analysis system 800 includes a detection means 810, a classification means 820, and a specification means 830. The detection means 810 detects an area of change in a product shelf from a video of the product shelf. The classification means 820 classifies the change in the product shelf in the detected area of change. The specification means 830 specifies the frequency at which a customer was interested in but did not purchase a product on the basis of the classification of the change.

Abstract: The present disclosure is directed to a software tool that facilitates coordination between various parties that are involved in the process of rectifying a problem identified in a combined three-dimensional model file. In one implementation, the software tool may cause a computing device to (a) receive an indication requesting creation of a coordination issue that relates to a portion of a rendered three-dimensional view of a construction project, (b) in response to the receipt of the indication, create a data set defining the coordination issue, the data set including (i) a representation of the portion of the rendered three-dimensional view, and (ii) data indicating an assignee of the coordination issue, and (c) cause an indication of the coordination issue to be presented to a client station associated with the assignee.

Abstract: In some examples, an alert relating to an issue in a computing arrangement is received. Contextual information is determined for the alert, the determined contextual information comprising spatial and temporal distributions of previous instances of the alert or similar alerts. The contextual information is communicated for use in addressing the issue in the computing arrangement.

Abstract: Embodiments of the systems described herein can implement one or more processes remotely delivering customized code to a host application and/or computing device. The host application may be configured as an Application Programming Interface with a customized code processing library that may configure the host application to receive further instructions remotely. The host application may be further configured to execute host code and/or third-party code. The host application may be configured to receive remote application logic, after the host application has been installed on a computing device, and to execute the received application logic to alter the behavior of the host application, such as selectively tracking end user interactions.

Abstract: A system that infers and detects how focused a worker is on work tasks, based on physiological parameters collected using wearable and environmental sensors. The system can identify whether a worker is in a focused state of flow, the affective state in which the worker's mind is fully immersed and actively engaged in their task. The system can also identify whether the worker is anxious (where the task demands/difficulty is too high relative the worker's skills) or bored (where the task is too easy). Once the focus state is detected, the information can be used in various applications for optimizing the worker's tasks and work quality such as monitoring task mastery, interventions to improve worker focus (e.g., recommending breaks, reassigning tasks, clarifying goals), identifying potentially lower quality production lots in a manufacturing environment, measuring the effects of skills training, and personal informatics for improving a worker's own productivity.

Abstract: A model predictive maintenance system for building equipment including one or more processing circuits including processors and memory storing instructions that, when executed by the processors, cause the processors to perform operations. The operations include obtaining an objective function that defines a cost of operating the building equipment and performing maintenance on the building equipment as a function of operating decisions and maintenance decisions for the building equipment for time steps within a time period. The operations include performing an optimization of the objective function to generate a maintenance and replacement strategy for the building equipment over a duration of an optimization period. The operations include estimating a savings loss predicted to result from a deviation from the maintenance and replacement strategy. The operations include adjusting an amount of savings expected to be achieved by energy conservation measures for the building equipment based on the savings loss.

Abstract: This technology is directed to facilitating scalable and secure data collection. In particular, scalability of data collection is enabled in a secure manner by, among other things, abstracting a connector(s) to a pod(s) and/or container(s) that executes separate from other data-collecting functionality. For example, an execution manager can initiate deployment of a collect coordinator on a first pod associated with a first job and deployment of a first connector on a second pod associated with a second job separate from the first job of a container-managed platform. The collect coordinator can provide a data collection task to the first connector deployed on the second pod of the second job. The first connector can then obtain the set of data from the data source and provide the set of data to the collect coordinator for providing the set of data to a remote source.

Abstract: Computing an influence measure by combining a rank of independent variables based on a first XGBoost ranking operation; a second rank of independent variables based on a first Random Forest (RF) ranking operation; a third rank of independent variables based on a first GBM ranking operation; a fourth rank of independent variables based on a first GLM ranking operation; a fifth rank of independent variables based on a second GLM ranking operation different from the first; a sixth rank of independent variables based on a second GBM ranking operation different from the first; a seventh rank of independent variables based on a second RF ranking operation different from the first; and an eighth rank of independent variables based on a second XGBoost ranking operation different from the first; and combining the ranks to correlate influence of a given variable on a target outcome.

Abstract: A display is created and manipulated in connection with an event, such as a notable security event investigation. A plurality of activity indicators for the event are displayed in a time order using both horizontal and vertical directions. Each activity indicator corresponds to a an activity related to the event. A linear display of shapes is provided, each shape corresponding to one or more of the activity indicators, of the same type, in a time sequence. In response to a user action, the time period corresponding to the plurality of shapes is changed so that shapes corresponding to a new time period selected by the user are displayed. Also in response to this user action, only the activity indicators corresponding to the new time period selected by the user are displayed.

Abstract: Some embodiments provide a method for identifying competitors of a particular company. The method identifies a set of potential competitors of a particular company. For each potential competitors, the method calculates a score quantifying the competitive relationship of the potential competitor to the particular company. When the calculated score is above a particular threshold, the method associates the potential competitor as a competitor of the particular company.

Abstract: A communication system and servers are disclosed. The illustrative communication system is taught to include a user-facing rebate system that has a line item extraction engine, a purchasable quantities engine, and a rebate matching engine that are capable of identifying materials required in an estimate and corresponding applicable rebates or discounts, thereby facilitating the use of rebate and discount programs and benefitting from the attendant cost savings.

Abstract: System and method for multi-core processing based time series management, capable of handling high volume time series data with high speed processing for time series forecasting. The method includes storing each time series as a Structured Query Language (SQL) array in a single row using a plurality of time series parameters. Further, stored plurality of time series are analyzed on receiving a forecast request using a correlation based pattern detection mechanism. The pattern detection mechanism enables deriving a subset of forecasting models, from which an optimal or best-fit forecasting model is identified to generate one or more forecasted time series.

Abstract: The invention generally relates to computer-based systems to evaluate and market clinical trial research centers. In certain aspects, the invention provides computer-based systems to collect information about clinical research centers. Systems include a tangible, non-transitory memory coupled to a processor operable to retrieve, based on a user's input, an identity of a clinical research center and prompt the user for information relating generally to the center. The system can collect disease-specific information by prompting the user for a selection of a disease and then collecting from the user information identifying an ability of the center to perform one or more tests relating to the disease.

Abstract: A system and method for optimizing waste or recycling routes for one or more service vehicles are disclosed. Service providers can determine optimal sets of routes for a fleet of vehicles to traverse in order to service customers more quickly and efficiently. Unique route shapes can be utilized to minimize route overlapping and route balancing can be utilized to produce routes with more manageable daily workloads.

Abstract: Examples described herein include systems and methods performing scalable and dynamic data processing and extraction. A first example method relates to processing events from a source. The method can include detecting an event generated by the source and predicting a probability of that event being part of a span including multiple events. The method can include waiting for the additional multiple events to occur within the predicted timeframe and, if occurring, packaging the events together for handling by a single dynamic function. Otherwise, the events can each be handled by separate dynamic functions. A second example method relates to performing dynamic data extraction from a source. The method can include waking up a function based on a regular poll interval, determining a probability of a data change at the source based on historical data extractions, and invoking an extraction function based on the probability of the data change.

Abstract: Embodiments disclose a system that allows for improved generation of web requests for scraping that, because of the nature of the requests and time and manner they are sent out, appear more organic, as in human generated, than conventional automated scraping systems. The system then manages how a client request to scrape a target website is made to the site, masking the request in a manner that makes it appear to the Web server as if the request is not generated by an automated system. In this way, by appearing more organic, Web servers may be less likely to block requests from the disclosed system or may take longer to block requests from the disclosed system. By avoiding Web servers blocking requests and extending the lifetime of IP proxies before they are blocked, embodiments can use a limited IP proxy address space more efficiently.

Abstract: Provenance analysis systems and methods. Datums representing relationships between entities can be stored in a knowledge store. Datums can be received from agents as agents perform activities. Activity records are be stored in a provenance graph, the activity record and associate received datums with any input datums used in the activity. Provenance subgraphs can 5 be retrieved by traversing the provenance graph for selected datums and presented through a user interface. Provenance subgraphs can be augmented with trust modifiers determined based on attributions, confidences, and refutations provided by a user. Trust modifiers can be propagated downstream to enable the addressing of junctions in variable confidence.

Abstract: A data processing method includes: obtaining first sample data, and determining a target model and a feature set corresponding to the target model; obtaining second sample data, and dividing the second sample data into a development data set and a validation data set based on a predetermined proportion or a predetermined chronological order; respectively determining final sample data of the first sample data and retained sample data of the development data set based on the target model, the feature set corresponding to the target model, the first sample data, the development data set and the validation data set; and merging the final sample data and the retained sample data to obtain a modeling data set corresponding to a first business project. A data processing apparatus, and a computer device for implementing the data processing method are further provided.

Abstract: A computer system can determine a set of merchant locations utilizing a network transaction service within a vicinity of a user based on position information from the computing device of the user. The system can generate a user interface to present the set of locations to the user. The system can receive a transaction request from the user and automatically execute a transaction process using a shared funding account of the network transaction service to fulfill the request.