Abstract: A bite block includes a base and a probe opening through the base. Upper and lower biting platforms are connected to the base above and below the probe opening respectively. A nasal cannula holder is connected to an upper portion of the base. A first and second fluid passage each have a proximal end at the base and a distal end extending from the base. The distal ends extend from the base such that, when the bite block is inserted into the mouth of a patient, the distal ends extend to the throat of the patient. A first and second fluid path are each defined between the proximal and distal ends of the first and second fluid passages respectively.

Abstract: An approach for optimizing storage on a local storage device. The approach identifies a stored or being stored on a user's local storage device. The approach extracts metadata from the media file. The approach searches the user-associated storage locations for a matching media file based on the metadata. If the approach locates the matching media file, then the approach, using artificial intelligence (AI), predicts if the local device storage should be optimized for the media file, then the approach, using AI, stores a link to the matching media file on the local device storage and removes the media file from the local device storage.

Abstract: A computer implemented method, apparatus, system, and computer program product for recommending item attributes. A computer system determines the item attributes in an item profile for an item offered by a seller on an item transaction platform. The computer system identifies interactions between the seller and a potential buyer regarding the item. The computer system determines a set of missing item attributes from the item profile based on the interactions between the seller and the potential buyer. The computer system recommends a set of actions for the set of missing item attributes identified to a seller of the item in a recommendation. The computer system performs a set of actions in the recommendation using the set of missing item attributes in response to a user input from the seller responding to the recommendation.

Abstract: Providing an Artificial Intelligence (AI) and Internet of Things (IoT) based system and method that predicts the chronological requirements for various components of the file-being-stored, and then takes an appropriate storage action on each component based on the predicted chronological requirements.

Abstract: There is thus provided a computerized-method for calculating a Repeated-Information-Request (RIR) score of an interaction in a contact center, by which a related interaction-recording is filtered for evaluation. The computerized-method is operating in a computerized-system which includes a processor, a data-storage and a memory to store the data-storage. The processor is operating a RIR score calculation module. The operating of the RIR score calculation module includes: (i) retrieving from the data-storage an interaction-recording and an interaction-recording-length thereof; (ii) operating a module on the retrieved interaction-recording to count a number of requests to repeat information; (iii) calculating a RIR score according to the number of requests to repeat information and the interaction-recording-length; and (iv) storing the RIR score of the retrieved interaction-recording in the data-storage.

Abstract: An integrated security management system is provided. The system includes an application server and a plurality of sensors deployed in a geographical area. The application server receives first sensor data from the plurality of sensors and provide to a trained classification model as input and detects a security alert based on output thereof. The application server determines a patrol route that encompasses a location of security alert and transmits a surveillance request to electronic device of a security operator to patrol the patrol route and identifies one or more sensors that covers the location of the security alert and receives second sensor data therefrom based on location of the electronic device being same as location of the security alert. The application server further re-trains the classification model based on the second sensor data when feedback received from the electronic device indicates the security alert to be a false positive.

Abstract: Providing an Artificial Intelligence (AI) and Internet of Things (IoT) based system and method that predicts the chronological requirements for various components of the file-being-stored, and then takes an appropriate storage action on each component based on the predicted chronological requirements.

Abstract: An approach for optimizing storage on a local storage device. The approach identifies a stored or being stored on a user’s local storage device. The approach extracts metadata from the media file. The approach searches the user-associated storage locations for a matching media file based on the metadata. If the approach locates the matching media file, then the approach, using artificial intelligence (AI), predicts if the local device storage should be optimized for the media file, then the approach, using AI, stores a link to the matching media file on the local device storage and removes the media file from the local device storage.

Abstract: An integrated security management system is provided. The system includes an application server and a plurality of sensors deployed in a geographical area. The application server receives first sensor data from the plurality of sensors and provide to a trained classification model as input and detects a security alert based on output thereof. The application server determines a patrol route that encompasses a location of security alert and transmits a surveillance request to electronic device of a security operator to patrol the patrol route and identifies one or more sensors that covers the location of the security alert and receives second sensor data therefrom based on location of the electronic device being same as location of the security alert. The application server further re-trains the classification model based on the second sensor data when feedback received from the electronic device indicates the security alert to be a false positive.

Abstract: A computerized-method for determining and utilizing an effectiveness of lifecycle-management for storage of interactions-related objects, is provided herein. In a computerized system that is communicating with a multi-tier storage in a cloud-environment having a lifecycle-rules data-storage to store one or more lifecycle-rules, operating a Retention Effectiveness Calculation (REC) module. The operating of the REC module includes: (i) retrieving all lifecycle-rules from the lifecycle-rules data-storage; (ii) for each lifecycle-rule in the lifecycle rules data-storage calculating a Rule Effectiveness Score (RES); (iii) grouping all the calculated RES by media type; (iv) for each media type, calculating an Object Retention Score (ORS) for the media type; (v) dividing an aggregation of the ORS of all media types by a total number of media types to yield a total ORS for a contact-center; and (vi) displaying via a display unit the total ORS of the contact-center.

Abstract: There is thus provided a computerized-method for calculating a Repeated-Information-Request (RIR) score of an interaction in a contact center, by which a related interaction-recording is filtered for evaluation. The computerized-method is operating in a computerized-system which includes a processor, a data-storage and a memory to store the data-storage. The processor is operating a RIR score calculation module. The operating of the RIR score calculation module includes: (i) retrieving from the data-storage an interaction-recording and an interaction-recording-length thereof; (ii) operating a module on the retrieved interaction-recording to count a number of requests to repeat information; (iii) calculating a RIR score according to the number of requests to repeat information and the interaction-recording-length; and (iv) storing the RIR score of the retrieved interaction-recording in the data-storage.

Abstract: A method for automatically consolidating and presenting, on an electronic communication platform, different electronic communications from different electronic communication platforms is provided. The method may include determining whether a user intends to access a received electronic communication. The method may further include based on the determination of the user intention to access the received electronic communication, determining a context associated with the received electronic communication. The method may further include scanning and determining a context associated with unaccessed electronic communications to identify the unaccessed electronic communications related to the determined context associated with the received electronic communication. The method may further include consolidating the identified unaccessed electronic communication with the received electronic communication to generate a consolidated communication.

Abstract: Methods and systems for assisting a driver of a vehicle traversing on a route are provided. Sensor and image data are received from each vehicle associated with the route. The sensor and image data are processed to generate driving-assisting features. Environmental and fleet data associated with the route are further retrieved from data sources. The environmental and fleet data are further processed to generate driving-assisting features. A warning message is generated based on the driving-assisting features. The warning message is communicated to each driver for facilitating driving-assistance in real-time.

Abstract: Methods and systems for assisting a driver of a vehicle traversing on a route are provided. Sensor and image data are received from each vehicle associated with the route. The sensor and image data are processed to generate driving-assisting features. Environmental and fleet data associated with the route are further retrieved from data sources. The environmental and fleet data are further processed to generate driving-assisting features. A warning message is generated based on the driving-assisting features. The warning message is communicated to each driver for facilitating driving-assistance in real-time.

Abstract: A method and a system for identifying location types of each passenger are provided. Location information associated with historical booking and demand data of passengers is clustered to obtain a set of location clusters. A set of features is generated for each location cluster, and a classifier is trained based on the generated set of features. Location information of a passenger is received from a passenger device of the passenger. The trained classifier identifies a location type of the passenger based on the location information. The identified location type can be used for providing personalized experience to the passenger.

Abstract: A method and system for determining transportation service routes for vehicles is provided. A transportation server receives commutation requests of commuters travelling from different pick-up locations to the same drop-off location. The pick-up locations are clustered into first and second sets of clusters based on one or more clustering parameters. The transportation server determines a plurality of route combinations for the first set of clusters. The transportation server also determines fitness-scores for each route combination. Optimum route combination is determined from the plurality of route combinations based on the fitness-scores. First and second sets of vehicles of a plurality of vehicles travel along first and second sets of routes to cater to the first and second sets of clusters.