Abstract: An industrial device matching method and apparatus are used for acquiring a corresponding relationship between industrial devices in different industrial data sources to provide basis for industrial data analysis. The method, in an embodiment, includes collecting data of at least two industrial data sources; determining a first relationship between various industrial devices in each industrial data source, and determining a first relationship topology between the industrial devices in the industrial data source; and comparing the first relationship topologies corresponding to various industrial data sources, to determine a first corresponding relationship between industrial devices in industrial data sources, the first corresponding relationship enabling the first relationship topologies corresponding to at least two industrial data sources to be similar.

Abstract: Examples provide analyzing motion data. Worker specific sensor data is received and both a task and at least one worker movement based on the received worker specific sensor data are identified. At least one task threshold parameter associated with the identified task and ergometric data for a worker related to the identified task is retrieved and at least one worker specific task parameter based on the received worker specific sensor data is generated. The at least one task threshold parameter is compared with the at least one worker specific task parameter and the at least one worker movement is compared with the ergometric data for the worker related to the identified task. Worker specific task data is generated based on the comparison and a change for future worker movement is identified based on the comparison.

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: A system and method of providing anti-monotony construction in a master-planned community (MPC), the method including: receiving a request for construction of a new home in the MPC, the request including a lot and a specification including details of the new home, the lot selectable from available lots in the MPC, the specification including one or more details selectable from available details; processing the request against a rule associated with diversity of the one or more details of the specification from details of lots identified as consecutive neighbors on one or more sides of the lot, the one or more sides and the details of the lots considered being identified in rule; and generating a status of approval or denial of the request based on whether at least one of the details of the specification matches at least one of the details of the lots identified as being consecutive neighbors.

Abstract: The disclosure provides an operation adjustment method and system for metro trains under train out of service. The method includes: acquiring basic parameters of a metro system, information of the train out of service and the online normal running trains, determining follow-up train services and current train timetables thereof, adjusting the current timetables according to predicted time to stop service of the train out of service to obtain initial adjusted train timetables, determining canceled planned train services and rolling stocks for executing remaining planned train services, and adjusting the initial adjusted train timetables according to planned train timetables of the cancelled planned train services. The disclosure can automatically adjust the train operation, and reasonably change the train timetables and the rolling stock circulation plan, thereby reducing influences of the train out of service, and improving the degree of automation of the metro system to adapt to refined management.

Abstract: Runbook deployment based on confidence evaluation. Obtaining a runbook based on commands, where the commands relate to resolving an incident and determining an aggregated skill level of operators for the runbook based on historical resolutions of incidents by the operators. A confidence measure of the runbook is determined according to the aggregated skill level for the runbook. Deployment of the runbook is performed in accordance with the confidence measure.

Abstract: For each service scenario out of a plurality of service scenarios, matching features of a to-be-matched product corresponding to the service scenario are acquired based on user features of users accessing the service scenario. A respective user feature mapping value of the service scenario is calculated based on the matching features of the to-be-matched product corresponding to the service scenario. Out of the plurality of service scenarios, a target service scenario of the to-be-matched product is selected based on the respective user feature mapping value of the service scenario.

Abstract: The disclosed technology teaches a method of calibrating a user confidence or risk score that expresses evaluation of user behavior that was not compliant with an organization's security policies, including configuring components of the user confidence or risk score, comprising configuring categorical alert weights, categorized by severity, responsive to administrator controls, for alerts to be generated due to an activity by the user that the organization's security policies treat as risky, and configuring a decay factor that attenuates the alert weights as time passes, responsive to an administrator sensitivity control. The disclosed method includes causing display of resulting user behavior evaluation examples, based on activity examples for user examples, comprising causing display of a time series of the user confidence or risk scores for the activity examples for the user examples, and a resulting user confidence or risk score for the user examples.

Abstract: Systems and methods for dynamically assessing property damage by determining whether and how to leverage a crowdsourcing marketplace are provided. According to certain aspects, a server computer may receive a set of media depicting property damage, and may analyze the set of media using a machine learning model to estimate a type and amount of the property damage. The server computer may also determine whether and how to leverage a set of additional individuals to provide a set of assessments for the property damage and, based on the set of assessments provided by the set of additional individuals, the server computer may automatically facilitate a work order request to address the property damage.

Abstract: A system is provided that generates a capacity plan for a resource representing supply to meet demand based on minimizing a cost objective. The system generates demand scenarios by applying a stochastic process that factors in historical information, future goals, and uncertainty in demand. The system generates supply scenarios indicating supply over time for the resource by applying a stochastic process that factors in factors relating to quantity of supply units of the resource and uncertainty in supply. The system identifies a supply scenario that minimizes costs relating to delivery of supply at times other than the times at which supply is need to meet demand based on the demand scenarios. The supply scenario represents the capacity plan.

Abstract: A worker selection method according to characteristics of a crowdsourcing-based project is provided.

Abstract: Measurements of energy usage including details of power consumption can be stored for power usage devices. The measurements of energy usage can be used to predict future consumption for each of the power usage devices. A power consumption can be modified using the prediction. The energy cost can be optimized based using the prediction, such as, for example, by modifying a power consumption of one of the power usage devices.

Abstract: A method, computer system, and computer program product for dynamic meeting agenda management are provided. The embodiment may include establishing a baseline set of agenda items prior to meeting commencement. The embodiment may also include identifying meeting participants based on actual real-time meeting attendance. The embodiment may further include monitoring an attendance and a participation of the meeting participants. The embodiment may also include identifying the agenda items that meet selection criteria using a coverage triggering mechanism. The embodiment may further include updating the order of the agenda items based on the agenda item that meet selection criteria first. The embodiment may also include displaying real-time meeting agenda items that meet the selection criteria.

Abstract: A method includes receiving oilfield operational plan information; determining oilfield operational plan actions based at least in part on the oilfield operational plan information by implementing a combinatorial solver; assessing at least a portion of the oilfield operational plan actions by implementing a logical solver; and, based at least in part on the determining and the assessing, outputting an oilfield operational plan as a digital plan that specifies at least one control action for oilfield equipment.

Abstract: Provided herein are systems, methods and computer readable media for managing a sales pipeline, and in some embodiments, generating demand based on real time demand and predicted demand.

Abstract: Disclosed herein is a software application for tracking the impact of a change event on a budget for a project. In one aspect, a computing system may receive user input defining a given change event that comprises a line item, and setting an estimated revenue for the line item to a dynamic amount that is to track a most-firm cost for the first line item. Based on the received user input and the estimated revenue for the line item, the computing system may create a data record that represents the given change event, detect a more-firm cost available for the line item, and based on detecting the more-firm cost available for the line item, (i) determine an updated most-firm cost for the line item and (ii) determine an updated estimated revenue for the line item to track the updated most-firm cost for the line item.

Abstract: Systems and methods for measuring the effectiveness of an agent coaching program calculate a rate of change in a first Key Performance Indicator for a first agent in a first coaching program during a period of time; select a control group of agents in which agents in the control group of agents were not exposed to the first coaching program; calculate an average rate of change in the first Key Performance Indicator for the control group of agents during the period of time; and calculate a first coaching impact of the first coaching program on the first Key Performance Indicator for the first agent relative to the average rate of change in the first Key Performance Indicator for the control group of agents during the period of time.

Abstract: Provided herein are systems, methods and computer readable media for forecasting demand. An example method comprises generating a virtual offer for one or more combinations of a category or sub-category, location, and price range, accessing consumer data comprising one or more users and user data related to each of the one or more users, calculating a probability that a particular user would buy a particular offer in a particular time frame for at least a portion of the plurality of users and for each of the virtual offers, and determining an estimated number of units of to be sold for at least a portion of the one or more virtual offers as a function of at least the probability associated with each of the one or more virtual offers.

Abstract: In one embodiment, a method may include accessing, from a data store of a social network, historical data of a social-networking metric, and generating a historical-data plot for a pre-determined period of time based on the historical data. The method may include determining one or more events associated with fluctuations in the social-networking metric based on the historical-data plot, and determining a metric-effect of the events on the social-networking metric. Each event may be associated with a sub-period of time within the pre-determined period of time, and the metric-effect for each event may include a rate of change of the social-networking metric over the sub-period of time associated with the event and a magnitude of change of the social-networking metric. Then, the method includes generating a fluctuation model for the social-networking metric, the fluctuation model including the calculated metric-effects for each of the events over the pre-determined period of time.

Abstract: As a plurality of resource types relating to production, there are two or more resource types including Money from among resource types of Man, Machine, Material, and Money. Execution past record information indicates, for each of one or more resource types other than Money and for each resource belonging to the resource type, a step performed on the resource and an execution time block of the step. Expense information indicates, for at least one of the above-mentioned one or more resource types and for each resource belonging to the resource type, an expense relating to the resource. The system displays a cost chart based on the result of the cost calculation process. The cost chart shows costs in management unit same as or different from those of the steps, and has a time axis and a management unit axis (axis perpendicular to the time axis).