Abstract:
A method for generating procedures includes receiving a log of a troubleshooting session. The log includes device data including a sequence of detected operations performed on the device causing respective components to change states. Steps of a candidate operating procedure are generated, based on the log, each corresponding to one of the detected operations. Missing steps may be identified, based on state charts and/or stored operability constraints for the device. The candidate operating procedure is compared with existing operating procedures stored in a knowledge base for the device to identify at least one existing operating procedure which includes steps which match at least some of the steps of the candidate operating procedure and, based on the identified at least one existing operating procedure, generating a textual description based on the textual description of the matching steps. The candidate procedure can be presented to an editor for validation.
Abstract:
Methods and systems for modeling user arrival and choice in the context of off-street parking solutions. A first component models the arrival and duration of stay of users as a function of time, taking into account different user profiles (or “clusters”), captured by a latent variable. A second component provides a ranking function (for each user cluster), wherein the input features describing the “choice” constitute status variables associated different car park(s), and the output constitutes a preferred car park and a pricing scheme. The system simulates different user behaviors by assuming some standard groups of users will behave similarly. Groups of users or user profiles are learned automatically. The profiles are then employed as a key element for automatically learning a decision function of parking users, and automatically learning one decision function per profile.
Abstract:
A method for recognition of an identifier such as a license plate includes storing first visual signatures, each extracted from a first image of a respective object, such as a vehicle, captured at a first location, and first information associated with the first captured image, such as a time stamp. A second visual signature is extracted from a second image of a second object captured at a second location and second information associated with the second captured image is acquired. A measure of similarity is computed between the second visual signature and at least some of the first visual signatures to identify a matching one. A test is performed, which is a function of the first and the second information associated with the matching signatures. Only when it is confirmed that the test has been met, identifier recognition is performed to identify the identifier of the second object.
Abstract:
This disclosure provides a method and system to promote the reduction of an environmental impact by one or more users of a printing system. According to an exemplary embodiment, a printing system includes a motivational platform and an operatively associated printer driver, the motivational platform recording the historical print activity of a plurality of users associated with a group and communicating the historical print activity to the print driver which is configured to provide an active user recommended selectable printer settings for a print job, prior to being submitted, which are based on best practices within the group.
Abstract:
Methods and systems for interpretable user behavior profiling in off-street parking applications. To render user profiles easy to interpret by decision makers, the semi-automatic discovery and tagging of user profiles can be implemented. Transaction data from one or more (and geographically close) off-street parking installations can be implemented. An analysis of spatio-temporal behavioral patterns can be implemented based on representation of any parking episode by a set of heterogeneous features, the use of clustering methods for automatic pattern discovery, an assessment of obtained clusters, semi-automatic identification/tagging of space-temporal patterns, and a user-friendly interpretation of obtained patterns.
Abstract:
Methods and systems for interpretable user behavior profiling in off-street parking applications. To render user profiles easy to interpret by decision makers, the semi-automatic discovery and tagging of user profiles can be implemented. Transaction data from one or more (and geographically close) off-street parking installations can be implemented. An analysis of spatio-temporal behavioral patterns can be implemented based on representation of any parking episode by a set of heterogeneous features, the use of clustering methods for automatic pattern discovery, an assessment of obtained clusters, semi-automatic identification/tagging of space-temporal patterns, and a user-friendly interpretation of obtained patterns.
Abstract:
Methods and systems for modeling user arrival and choice in the context of off-street parking solutions. A first component models the arrival and duration of stay of users as a function of time, taking into account different user profiles (or “clusters”), captured by a latent variable. A second component provides a ranking function (for each user cluster), wherein the input features describing the “choice” constitute status variables associated different car park(s), and the output constitutes a preferred car park and a pricing scheme. The system simulates different user behaviors by assuming some standard groups of users will behave similarly. Groups of users or user profiles are learned automatically. The profiles are then employed as a key element for automatically learning a decision function of parking users, and automatically learning one decision function per profile.
Abstract:
A method and system are disclosed for learning a demand model and simulation parameters from validation information. Validation information is received from automatic fare collection systems and trips are reconstructed from the validation information. Origins, destinations, and arrival/departure times are estimated from the reconstructed trips. A demand model is then generated from the origins, destinations, and times. Assignment model parameters are then learned from the received validation information and demand model via iterative simulations. Infrastructure changes are made to a simulated transportation network based on the assignment and demand model using the learned parameters. A simulated response of the transportation network to the infrastructure change is then output.
Abstract:
A method for generating procedures includes receiving a log of a troubleshooting session. The log includes device data including a sequence of detected operations performed on the device causing respective components to change states. Steps of a candidate operating procedure are generated, based on the log, each corresponding to one of the detected operations. Missing steps may be identified, based on state charts and/or stored operability constraints for the device. The candidate operating procedure is compared with existing operating procedures stored in a knowledge base for the device to identify at least one existing operating procedure which includes steps which match at least some of the steps of the candidate operating procedure and, based on the identified at least one existing operating procedure, generating a textual description based on the textual description of the matching steps. The candidate procedure can be presented to an editor for validation.
Abstract:
A method for recognition of an identifier such as a license plate includes storing first visual signatures, each extracted from a first image of a respective object, such as a vehicle, captured at a first location, and first information associated with the first captured image, such as a time stamp. A second visual signature is extracted from a second image of a second object captured at a second location and second information associated with the second captured image is acquired. A measure of similarity is computed between the second visual signature and at least some of the first visual signatures to identify a matching one. A test is performed, which is a function of the first and the second information associated with the matching signatures. Only when it is confirmed that the test has been met, identifier recognition is performed to identify the identifier of the second object.