Abstract: A workflow control device includes a workflow management processing portion, a clumsiness detection processing portion, and a display processing portion. The workflow management processing portion manages a workflow for combining processes corresponding to specific operations on an electronic apparatus, in a specific order and performing execution instructions for the processes. The clumsiness detection processing portion detects clumsiness in an operation which has been performed by a user on the electronic apparatus and delayed from a threshold. The display processing portion causes an order of processes based on a workflow through which execution instructions for processes corresponding to operations of the user can be performed in order, to be displayed on a screen based on detection of the clumsiness.

Abstract: Systems and methods are presented for matching a buyer and a seller on a market place system and generating calibrated user profiles. In one such system a plurality of subjective estimations of value is received. The subjective estimations of value are a measure between a predetermined minimum value and a predetermined maximum value. A user profile is generated. A plurality of user actions corresponding to the plurality of subjective estimations of value is received. The user profile is calibrated based on the plurality of user actions.

Abstract: A bytecode construction, a method, and a system for optimizing just in time compilation. The bytecode includes several regions wherein a region is a logical sequence of one or more bytecode blocks and the bytecode is annotated with region hints embedded therein. The region hints have a bytecode structure and are designed for instructing a just-in-time, or JIT, runtime environment for JIT compilation of the regions by JIT compilers implemented at nodes of a network. A method and a system for implementing the bytecode construction are also presented.

Abstract: A computer implemented method for generating digital models of relative crop yield based on nitrate values in the soil is provided. In an embodiment, nitrate measurements from soil during a particular portion of a crop's development and corresponding crop yields are received by an agricultural intelligence computing system. Based, at least in part, on the nitrate measurements and corresponding crop yields, the system determines maximum yields for each location of a plurality of locations. The system then converts each crop yield value into a relative crop yield by dividing the crop yield value by the maximum crop yield for the location. Using the relative crop yields and the corresponding nitrate values in the soil, the system generates a digital model of relative crop yield as a function of nitrate in the soil during the particular portion of the crop's development.

Abstract: Method and system for enabling dynamic capacity planning are disclosed. In an embodiment, a plurality of operational inputs are configured to forecast a demand volume and generate a dynamic capacity planning schedule. For example, said plurality of operational inputs include raw data received from a server. Further, historical data is processed based on said plurality of operational inputs to create a plurality of contextual data elements. Furthermore, said demand volume is forecasted and said dynamic capacity planning schedule is generated using at least a part of the historical data and a current capacity planning requirement, said current capacity planning requirement is being generated dynamically by said server. In addition, said dynamic capacity planning schedule is rendered based on said forecasted demand volume and said rendered dynamic capacity planning schedule is clustered into a plurality of work reports associated with said plurality of contextual data elements.

Abstract: A method of determining information relating to the occupancy of a space that includes receiving first data relating to the occupancy of the space over a time period, receiving second data indicative of either times of decrementing events or times of incrementing events affecting the occupancy of the space during the time period, and either, for each decrementing event time, using the first data to obtain an estimated incrementing event time, or, for each incrementing event time, using the first data to obtain an estimated decrementing event time. The method has particular application in the determination of waiting times, for example in the context of queue monitoring.

Abstract: In response to a posting of a negative review of an information technology item, external environmental context data is collected that comprehends processing environment attributes of an external process that interacts with the item in a reviewed performance of the item. An attribute of the item criticized in the review is correlated with an attribute of the external environmental context data as a function of contemporaneous time of occurrence. Degrees of likelihood as the principal cause of the negative review are determined for the attributes of the information technology item and for the correlated external environmental context data attribute. The negative review is determined to be a false negative review if the degree of likelihood that the correlated attribute of the external environmental context data is the principal cause is higher than the degree of likelihood that the criticized attribute of the information technology item is the principal cause.

Abstract: There are provided systems and method for targeted assistance on user check-in. A service location may provide beacons at or near the location to determine if a user approaching or at the service location has any experience with the service location. For example, a merchant may place a beacon at the entrance to a store to determine if a user has shopped at the store. Thus, when a user is in proximity to the beacon, a user device of the user and the beacon may establish a check-in. Through a user identifier communicated to the beacon, the service provider at the location may determine a user history, such as a number of visits by the user to the service location. The service location may then provide targeted assistance, such as information, personal help, item searches, etc., based on the user's history with the merchant.

Abstract: A computer-implemented method for estimating visitor traffic at a real property location based on interrogation signal data is provided. The method includes receiving, by one or more processors, a real property location, defining a geographic region that includes the real property location, receiving, by the one or more processors, interrogation signal data for a group of mobile devices included within the plurality of mobile devices, determining a location of each of the mobile devices included within the group of mobile devices over the selected period of time based on the received interrogation signal data, and estimating visitor traffic for the real property location over the selected period of time based on the location of each of the mobile devices included within the group of mobile devices.

Abstract: A method, server, and computer program for matching jobs and workers. The server is configured to receive, from entities, job data indicative of available jobs; receive from mobile devices associated with workers, worker data; store the job data and the worker data in the data store; determine and store, in the data store, worker preference data and entity preference data; determine matches, wherein each match pairs one of the workers with one of the jobs based on the worker preference data and the entity preference data; transfer, to each matched worker via a respective mobile device, data indicative of the respective matched job; receive, from at least some of the mobile devices, feedback data indicative of whether at least some of the matched jobs were accepted or declined; and transfer, to the respective entity for each accepted job, data indicative of the respective worker who accepted the job.

Abstract: Embodiments of the invention relate to supply chain recommendations and application in real-time. A correlation between order proposals and firm orders is provided, and a correlation between the proposals and orders is measured in the form of compliance. A command associated with a measurement of the compliance is generated and applied to one or more hardware addressable components or associated machines. The application of the commands changes a physical aspect of the product, thereby effectively transforming a state of the product.

Abstract: A method and system for automatically reversing a process is provided. The method includes defining a forward process comprising a set of forward activities for automatically performing an automated task. First undo activities and associated data structures, associated with undoing a first forward activity of the set of forward activities, first interdependencies between the first undo activities are defined. Additionally, first triggers comprising a first link between the first forward activity and the first undo activities are defined. Second undo activities and associated data structures, associated with undoing a second forward activity as well as second interdependencies between the second undo activities are defined. Additional second triggers comprising a second link between the second forward activity and the second undo activities are defined.

Abstract: The present disclosure extends to methods, systems, and computer program products for generating attribute tables for holding attributes while a corresponding business plan is in an approval process. The present disclosure also extends to methods, systems and computer program products for approving proposed business plans and automatically generating workflow for establishing data tables for aggregating customer profile data in those data tables. The present disclosure also extends to methods, systems and computer programs for excluding, hiding or removing certain items of information or data from data contained in one or more attribute tables.

Abstract: A method and system for determining work ticket priority is provided. The method includes enabling a work ticket for a work assignment associated with an entity. The work ticket is assigned an initial priority value. Relevant data from multiple sources is associated with the work ticket and an updated priority value is requested. In response, multiple priority scores for the work ticket with respect to additional work tickets are published to an enterprise service bus (ESB) and an aggregate score for work ticket is calculated from the multiple priority scores.

Abstract: A crew planning system includes a demand forecasting module and an optimization module. The system forecasts anticipated reserve demand levels, and determines suitable reserve staffing approaches to meet anticipated reserve demand. The forecasting is based upon probabilistic distribution models which take into account variability associated with reserve demand for a particular day. Via use of the crew planning system, reserve staffing expenses may be reduced and/or reserve demand may be met with a higher degree of probability.

Abstract: Computer-implemented methods and systems of estimating wait times and food serving times at a restaurant using wearable devices include identifying from portions of sensor data that a user is seated at a restaurant table at an estimated sitting time. In addition, portions of sensor data can be used to identify that a user has started eating at a given restaurant. Time-correlated location data can be used to determine an estimated arrival time of the user at a current location. An estimated wait time can be determined from the difference between the estimated sitting time and the estimated arrival time. An estimated food serving time can be determined from the difference between estimated eating time and arrival time or eating time and sitting time. Data indicative of the estimated times can be communicated to other computing devices, evaluated across multiple users, and/or used to develop relevant notifications for surfacing to other users.

Abstract: A system and method for directing self-targeted advertising to users who are interested in receiving it. A user creates or adopts one or more personas that define a number of characteristics that the user has or wants to be associated with. The characteristics of the personas can be used by advertisers to define members of a target audience. Each persona included in a target audience has an address or identifier to which ads are sent. In one embodiment, users are shown a user interface screen with icons representing a number of brands. The user provides input that indicates whether they have different opinions of the brands. Based on the input received, an estimate is made of the likelihood that the user has a number of characteristics. In one embodiment, the user can arrange the icons representing the brands on the user interface screen to indicate if the user likes or dislikes the brand.

Abstract: Example embodiments of the present invention provide a method, a system, and a computer program product for cloud services business management. The method includes monitoring cloud services business metrics for a cloud services provider and analyzing the cloud services business metrics. Cloud services business parameters for the cloud services provider then may be acted upon according to the analyzed cloud services business metrics.

Abstract: A demand response management system having a participation predictor. There may be a storage device having information collected about past behavior, related to participation in a demand response program, about a customer. The information may incorporate determining a period of time since the customer last participated in a demand response program, a frequency of participation in demand response events by the customer, and a size of energy loads of the customer. A model of the customer may be developed from this and other information. A processor may be used to collect and process the information, develop a model, and to make a prediction of a customer's being selected to participate in an event based on the various operator selectable criteria.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for evaluating the utilization of communications features. In one aspect, a method includes identifying, for a particular organization, a set of communications features that are included in a communications service that is provided to the particular organization. Usage levels of communications features by members of the organization are determined. Based on the usage levels a determination is made that the at least one of the communications features is being underutilized. An updated set of communications features that removes the at least one of the communications features from the communications service that is provided to the particular organization is selected. Data that changes the set of communications features provided to the particular organization based, at least in part on the updated set of communications features are generated.