Abstract: A transaction-based content management system for a digital signage network displays a piece of content until a predetermined level of transactions occurs.

Abstract: Methods for management of a powertrain system in a vehicle. The methods receive data or signals from multiple sensors associated with the vehicle. Optimum thresholds for classifications of the sensor data can be changed based injecting signals into the powertrain system and receiving responsive signals. Expected priorities for the sensor signals can be altered based upon attributes of the signals and confirming actual priorities for the signals. Look-up tables for engine management can be modified based upon injecting signals into the powertrain system and measuring a utility of the responsive signals. The methods can thus dynamically alter and modify data for powertrain management, such as look-up tables, during vehicle operation under a wide range of conditions.

Abstract: Methods for management of a powertrain system in a vehicle. The methods receive data or signals from multiple sensors associated with the vehicle. Optimum thresholds for classifications of the sensor data can be changed based injecting signals into the powertrain system and receiving responsive signals. Expected priorities for the sensor signals can be altered based upon attributes of the signals and confirming actual priorities for the signals. Look-up tables for engine management can be modified based upon injecting signals into the powertrain system and measuring a utility of the responsive signals. The methods can thus dynamically alter and modify data for powertrain management, such as look-up tables, during vehicle operation under a wide range of conditions.

Abstract: Methods and systems for implementing experimental trials on utility grids. Variations in grid parameters are selected to introduce into utility grids to improve the value of learning from each experimental trial and promoting improved utility grid performance by computing expected values for both learning and grid performance. Those trials are used to manage the opportunity costs and constraints that affect the introduction of variations into utility grid parameters and the generation of valid data that can be attributed to particular variations in utility grid parameters.

Abstract: The present invention is directed towards methods and systems for characterizing sensors and developing classifiers for sensor responses on a utility grid. Experiments are conducted by selectively varying utility grid parameters and observing the responses of utility grid to the variation. Methods and systems of this invention then associate the particular responses of the utility grid sensors with specific variations in the grid parameters, based on knowledge of the areas of space and periods of time where the variation in grid parameters may affect the sensor response. This associated data is then used to updating a model of grid response.

Abstract: At least one aspect of the present disclosure directs to a content generation system including a content generation module and a rule management module. The rule management module is adapted to receive a plurality of rules on content generation. The content generation module is adapted to generate a content configuration, wherein the content configuration comprises a plurality of content elements and one or more relationships among the plurality of content elements, wherein the one or more relationships are in accordance with the plurality of rules on content generation.

Abstract: Methods and systems for implementing experimental trials on utility grids. The variation of grid parameters are coordinated to create periods of time and areas of space from within which the variations of grid parameters do not overlap, allowing sensor data within those periods of time and areas of space to be associated with particular variations in grid parameters. This associated data can in turn be used to improve models of sensor response and utility grid behavior.

Abstract: Systems and methods for dynamically optimizing models used for sensor data analytics. An action is taken based on an analytics determination by systematically varying parameters of the analytical model using actions taken based on the analytics to determine the relative frequencies of hits, misses, false alarms, and correct rejections for particular model parameters. The model parameters for local analytics are selected based upon on signal detection theory analysis and the value or cost of each hit, miss, false alarm, or correct rejection.

Abstract: Systems and methods for improving visual attention models use effectiveness assessment from an environment as feedback to improve visual attention models. The effectiveness assessment uses data indicative of a particular behavior, which is related to visual attention allocation, received from the environment to assess relative effectiveness of the environment on influencing the particular behavior.

Abstract: Systems and methods for automatically selecting actions to take on a utility grid to simultaneously reduce uncertainty while selecting actions that improve one or more effectiveness metrics. Grid action effects are represented as confidence intervals, the overlap of which is used as a weight when selecting actions within a constrained search space of grid actions. The response of the utility grid to the grid actions may be measured and parsed by the temporal and spatial reach of the grid action, then used to update the confidence intervals for that particular selected grid action.

Abstract: Methods and systems for implementing experimental trials on utility grids. The variation of grid parameters are coordinated to create periods of time and areas of space from within which the variations of grid parameters do not overlap, allowing sensor data within those periods of time and areas of space to be associated with particular variations in grid parameters. This associated data can in turn be used to improve models of sensor response and utility grid behavior.

Abstract: Systems and methods for organizing and controlling the display of content, then measuring the effectiveness of that content in modifying behavior, within a particular temporal and special dimension, so as to minimize or eliminate confounding effects.

Abstract: A computer-implemented method of evaluating a plurality of protocols associated with a medical context includes receiving, with a computer system, an indication of a medical context item corresponding to a medical context, accessing, with the computer system, a digital library including a plurality of protocols associated with the medical context, assigning, with the computer system, predictive outcomes to one or more of plurality of protocols, selecting, with the computer system, one of the plurality of protocols associated with the medical context based upon the assigned predictive outcomes, and storing, with the computer system within a database, an indication the selected protocol is assigned to the medical context item.

Abstract: A method of evaluating a plurality of patient protocols associated with a medical context, the method including, with a computer system, accessing a database including medical information for a plurality of patients associated with the medical context items. For each of the patients, the medical information includes an indication that one of the patient protocols is associated with the patient. The method further includes, with the computer system, evaluating each of the patient protocols based on medical information associated with patients within a patient population, the patient population representing a subset of the patients, to estimate an efficacy of each of the patient protocols for the patient population, and identifying the patient population represents a low-efficacy patient population based on the efficacy estimates for the patient population. The method further includes storing, within the database, an indication that the patient population represents the low-efficacy patient population.

Abstract: Systems and methods for organizing and controlling the display of content, then measuring the effectiveness of that content in modifying behavior, within a particular temporal and special dimension, so as to minimize or eliminate confounding effects.

Abstract: Methods and systems for implementing experimental trials on utility grids. The variation of grid parameters are coordinated to create periods of time and areas of space from within which the variations of grid parameters do not overlap, allowing sensor data within those periods of time and areas of space to be associated with particular variations in grid parameters. This associated data can in turn be used to improve models of sensor response and utility grid behavior.

Abstract: A content optimization system includes a content generation module, a content evaluation module, and a rule management module. The content generation module is adapted to generate a content configuration, wherein the content configuration comprises a plurality of content elements and one or more relationships among the plurality of content elements, wherein the one or more relationships are in accordance with a set of rules on content generation. The content evaluation module is adapted to evaluate content performance of a piece of content assembled from the content configuration. The rule management module is adapted to amend the set of rules based on the evaluated content performance.

Abstract: Computer implemented methods and systems facilitate development and distribution of content for presentation on a display or a multiplicity of networked displays, the content including content elements. The content elements may include graphics, text, video clips, still images, audio clips or web pages. The development of the content is facilitated using a database comprising design rules based on principles of cognitive and vision sciences. The database may include design rules based on visual attention, memory, and/or text recognition, for example.

Abstract: Methods and systems for implementing experimental trials on utility grids. Variations in grid parameters are selected to introduce into utility grids to improve the value of learning from each experimental trial and promoting improved utility grid performance by computing expected values for both learning and grid performance. Those trials are used to manage the opportunity costs and constraints that affect the introduction of variations into utility grid parameters and the generation of valid data that can be attributed to particular variations in utility grid parameters.

Abstract: Systems and methods provide for generating time-slot samples to which content may be assigned for measuring effects of the assigned content. Systems and methods provide for receiving viewer visit duration (VVD) that target viewers spend at a location where content is to be presented and receiving time intervals (TI) for data collection for data streams of interest that target viewers can affect during their visit to the location. A time-slot sample duration (TSSD) is determined using VVD and TI. Time-slot samples are generated that have a duration defined by the TSSD and a data collection period defined for at least a portion of the TSSD.