Abstract: The disclosed embodiments illustrate a method for real time management of transportation services. The method includes determining a discrete control process with respect to a plurality of states of a vehicle. Each state in the plurality of states corresponds to a station and a count of vacant seats in the vehicle at the station. A set of rules is generated to maximize a key performance parameter of the vehicle, based on at least the determined discrete control process. A valuation parameter is determined, in real time, for one or more vacant seats in the vehicle at each of one or more subsequent stations based on the generated set of rules. The determined valuation parameter for the one or more vacant seats corresponding to each of the one or more subsequent stations is transmitted to a plurality of mobile computing devices associated with a plurality of commuters.

Abstract: The disclosed embodiments illustrate methods for displaying targeted content on a digital signage board (DSB). The method includes receiving encrypted profile information from each of a plurality of user-computing devices when the plurality of user-computing devices is in a proximity range of the DSB, wherein the DSB is associated with one or more products and/or services. The method further includes aggregating the encrypted profile information received from each of the plurality of user-computing devices to generate an aggregated encrypted profile. Further, the method includes transmitting the aggregated encrypted profile to a content server, wherein the content server decrypts the aggregated encrypted profile to select the targeted content from a content repository associated with the one or more products and/or services, wherein the targeted content is displayed on the DSB.

Abstract: A method and a system for predicting admission of a human subject to a first ward in a medical center are disclosed. A patient dataset is generated based on at least a measure of one or more physiological parameters associated with one or more first human subjects and a first information pertaining to the admission of each of the one or more first human subjects to the first ward. For a first human subject of the one or more first human subjects, a first score at each of the one or more first time instants is determined. Further, one or more second time instants from the one or more first time instants are identified. Further, a second score at each of the one or more second time instants is determined. In an embodiment, the first classifier is trained based on at least the second score, and the first information.

Abstract: What is disclosed is a system and method for forecasting and imputing an unknown vital measurement of a patient. Temporally successive patient vital measurements are received which comprise irregularly sampled observations {y1, . . . , yN}, where yj denotes the jth observation at time tj, and N is the number of samples. The vital measurements are then provided to a model trained using historical data of patient vital measurements. The model generates a parameter set ?=(A,B,C), where A is a state transition matrix, B is a control matrix, and C is a matrix which maps state-space variables to observation variables. The parameters are used to obtain state-space variable zt which, in turn, is used to forecast an unknown observation yN+1 or to impute an unknown observation yt, where 1<t<N. The historical data is then updated with the forecasted observation yN+1 or the imputed unknown observation yt.

Abstract: A method and a system are provided for interaction with a digital signage board. An electronic device receives, via a transceiver, a first metadata associated with a first grid displayed on the digital signage board that is configured to display a plurality of multimedia content items in a plurality of first cells of the grid. The electronic device receives, via the transceiver, a second metadata associated with the plurality of multimedia content items. The one or more processors in the electronic device display a second grid comprising a plurality of second cells that are based on the first metadata and the second metadata. The one or more processors in the electronic device further update a property associated with at least one of the plurality of second cells based on a user profile stored in the electronic device and the second metadata.

Abstract: A method and a system for receiving targeted content are disclosed. In an embodiment, in a mobile device at least a first metadata corresponding to a first content displayed on a digital signage board is received, based on a predetermined action performed by the mobile device. The first metadata comprises at least a location of the digital signage board. A second metadata corresponding to one or more product categories associated with one or more products in vicinity of the digital signage board is determined, based on the location of the digital signage board. One or more user preferences are determined based on the first metadata and the second metadata. The targeted content is received on the mobile device based on the one or more user preferences.

Abstract: The disclosed embodiments illustrate a method for real time management of transportation services. The method includes determining a discrete control process with respect to a plurality of states of a vehicle. Each state in the plurality of states corresponds to a station and a count of vacant seats in the vehicle at the station. A set of rules is generated to maximize a key performance parameter of the vehicle, based on at least the determined discrete control process. A valuation parameter is determined, in real time, for one or more vacant seats in the vehicle at each of one or more subsequent stations based on the generated set of rules. The determined valuation parameter for the one or more vacant seats corresponding to each of the one or more subsequent stations is transmitted to a plurality of mobile computing devices associated with a plurality of commuters.

Abstract: The disclosed embodiments illustrate methods for displaying targeted content on a digital signage board (DSB). The method includes receiving encrypted profile information from each of a plurality of user-computing devices when the plurality of user-computing devices is in a proximity range of the DSB, wherein the DSB is associated with one or more products and/or services. The method further includes aggregating the encrypted profile information received from each of the plurality of user-computing devices to generate an aggregated encrypted profile. Further, the method includes transmitting the aggregated encrypted profile to a content server, wherein the content server decrypts the aggregated encrypted profile to select the targeted content from a content repository associated with the one or more products and/or services, wherein the targeted content is displayed on the DSB.

Abstract: What is disclosed is a system and method for forecasting and imputing an unknown vital measurement of a patient. Temporally successive patient vital measurements are received which comprise irregularly sampled observations {y1. . . , yN where yN denotes the jth observation at time tj and N is the number of samples. The vital measurements are then provided to a model trained using historical data of patient vital measurements. The model generates a parameter set ?=(A, B, C), where A is a state transition matrix, B is a control matrix, and C is a matrix which maps state-space variables to observation variables. The parameters are used to obtain state-space variable zt which, in turn, is used to forecast an unknown observation yN+1 or to impute an unknown observation yt, where 1<t<N. The historical data is then updated with the forecasted observation yN+1 or the imputed unknown observation yt.

Abstract: A method and a system for predicting admission of a human subject to a first ward in a medical center are disclosed. A patient dataset is generated based on at least a measure of one or more physiological parameters associated with one or more first human subjects and a first information pertaining to the admission of each of the one or more first human subjects to the first ward. For a first human subject of the one or more first human subjects, a first score at each of the one or more first time instants is determined. Further, one or more second time instants from the one or more first time instants are identified. Further, a second score at each of the one or more second time instants is determined. In an embodiment, the first classifier is trained based on at least the second score, and the first information.

Abstract: A method and a system are provided for interaction with a digital signage board. An electronic device receives, via a transceiver, a first metadata associated with a first grid displayed on the digital signage board that is configured to display a plurality of multimedia content items in a plurality of first cells of the grid. The electronic device receives, via the transceiver, a second metadata associated with the plurality of multimedia content items. The one or more processors in the electronic device display a second grid comprising a plurality of second cells that are based on the first metadata and the second metadata. The one or more processors in the electronic device further update a property associated with at least one of the plurality of second cells based on a user profile stored in the electronic device and the second metadata.

Abstract: A method and a system for receiving targeted content are disclosed. In an embodiment, in a mobile device at least a first metadata corresponding to a first content displayed on a digital signage board is received, based on a predetermined action performed by the mobile device. The first metadata comprises at least a location of the digital signage board. A second metadata corresponding to one or more product categories associated with one or more products in vicinity of the digital signage board is determined, based on the location of the digital signage board. One or more user preferences are determined based on the first metadata and the second metadata. The targeted content is received on the mobile device based on the one or more user preferences.