A computer-implemented system and method of predictive decision-making in an ad hoc network. The computer-implemented method includes receiving a set of rules into the ad hoc network and identifying a data set for each rule. The computer-implemented method also includes selecting a first and second node from the ad hoc network to process a first and second rule as a function of the identified data set according to an optimizing algorithm. The computer-implemented method also selects a third node to receive the processed results from the first and second nodes. An indication is provided of the processed results by the third node.
G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation
G06N 5/025 - Extraction de règles à partir de données
G08B 31/00 - Systèmes d'alarme à prédiction caractérisés par une extrapolation ou un autre type de calcul utilisant des données historiques mises à jour
H04L 67/5651 - Conversion ou adaptation du format ou du contenu d'applications en réduisant la quantité ou la taille des données d'application échangées
H04W 4/029 - Services de gestion ou de suivi basés sur la localisation
H04W 84/18 - Réseaux auto-organisés, p. ex. réseaux ad hoc ou réseaux de détection
A method is disclosed for tracking the location of an object. The method includes assigning a unique identifier for a first communication device, associating the first communication device with an object, associating the first communication device with a destination device, and storing the unique identifier in a location server. The method also includes periodically receiving, from second communication devices, a respective message comprising the unique identifier, associating the periodic location of the respective second communication device with the first communication device, receiving, at the location server, data comprising spatial, temporal, and contextual data elements, identifying an event as satisfying a rule associated with the object and destination device using the received data elements, and responsive to the identified event, and based on the rule associated with the object and destination device, transmitting a message to one or more of the destination device and a delivery mechanism carrying the object.
A computer-implemented system and method of predictive decision-making in an ad hoc network. The computer-implemented method includes receiving a set of rules into the ad hoc network and identifying a data set for each rule. The computer-implemented method also includes selecting a first and second node from the ad hoc network to process a first and second rule as a function of the identified data set according to an optimizing algorithm. The computer-implemented method also selects a third node to receive the processed results from the first and second nodes. An indication is provided of the processed results by the third node.
H04L 67/5651 - Conversion ou adaptation du format ou du contenu d'applications en réduisant la quantité ou la taille des données d'application échangées
G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation
G08B 31/00 - Systèmes d'alarme à prédiction caractérisés par une extrapolation ou un autre type de calcul utilisant des données historiques mises à jour
H04W 4/029 - Services de gestion ou de suivi basés sur la localisation
G06N 5/025 - Extraction de règles à partir de données
H04W 84/18 - Réseaux auto-organisés, p. ex. réseaux ad hoc ou réseaux de détection
5.
Computer-implemented systems and methods of analyzing spatial, temporal and contextual elements of data for predictive decision-making
A computer-implemented system and method of analyzing spatial, temporal and contextual elements of data for predictive decision-making. The computer-implemented method includes associating an uncertainty value with a spatial, temporal, or contextual data element that has been indexed in memory as a function of one or more rules. The computer-implemented method also includes receiving data comprising spatial, temporal, and contextual data elements from one or more data sources. The computer-implemented method further includes modifying the uncertainty value based on a spatial, temporal, or contextual element of the received data.
G06N 5/046 - Inférence en avantSystèmes de production
G06N 5/02 - Représentation de la connaissanceReprésentation symbolique
G06Q 10/0637 - Gestion ou analyse stratégiques, p. ex. définition d’un objectif ou d’une cible pour une organisationPlanification des actions en fonction des objectifsAnalyse ou évaluation de l’efficacité des objectifs
Methods and systems for tracking the location of an object. The method includes assigning a unique first device identifier, associating the first device with an object, and storing the unique identifier in a location server. The method also includes receiving, at the location server, data indicating a projected travel path for the object and data comprising spatial, temporal, and contextual data elements. The method also includes determining, based on two or more of the received spatial, temporal, and contextual data elements, the availability of second devices in the vicinity of the projected travel path for the object. The method also includes transmitting, as a function of the determined availability of the second devices in the vicinity of the projected travel path for the object, a command to modify a transmission property of the first device.
G06Q 10/08 - Logistique, p. ex. entreposage, chargement ou distributionGestion d’inventaires ou de stocks
H04W 84/18 - Réseaux auto-organisés, p. ex. réseaux ad hoc ou réseaux de détection
H04W 4/02 - Services utilisant des informations de localisation
H04W 4/80 - Services utilisant la communication de courte portée, p. ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie
A computer-implemented system and method of predictive decision-making in an ad hoc network. The computer-implemented method includes receiving a set of rules into the ad hoc network and identifying a data set for each rule. The computer-implemented method also includes selecting a first and second node from the ad hoc network to process a first and second rule as a function of the identified data set according to an optimizing algorithm. The computer-implemented method also selects a third node to receive the processed results from the first and second nodes. An indication is provided of the processed results by the third node.
H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison
G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]
G08B 31/00 - Systèmes d'alarme à prédiction caractérisés par une extrapolation ou un autre type de calcul utilisant des données historiques mises à jour
G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation
Methods and systems and method of tracking the location of an object. The method includes assigning a unique first device identifier, associating the first device with an object, and storing the unique identifier and an identifier for the object associated with the first device in a location server. The method also includes transmitting a first message containing the unique identifier, but not the first device location, receiving the first message at a second device, and transmitting a second message from the second device containing the unique identifier and a second device location. The method also includes, at the location server, receiving the second message, associating the location of the second device with the first device, storing the location of the second device, receiving a request for the location of the object, and in response to the request, providing the unique identifier and the second device location.
G06Q 10/08 - Logistique, p. ex. entreposage, chargement ou distributionGestion d’inventaires ou de stocks
H04W 84/18 - Réseaux auto-organisés, p. ex. réseaux ad hoc ou réseaux de détection
H04W 4/02 - Services utilisant des informations de localisation
H04W 4/80 - Services utilisant la communication de courte portée, p. ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie
A computer-implemented system and method of analyzing spatial, temporal and contextual elements of data for predictive decision-making. The computer-implemented method includes receiving a first set of rules and receiving first data and second data including spatial, temporal and contextual elements. The computer-implemented method also includes identifying each rule of the first set for which the received first data and the received second data is a respective candidate. For the identified rules for which the received first data is a candidate, and for the identified rules for which the received second data is a candidate, the respective received first data and received second data is indexed by its temporal, spatial or contextual elements as a function of the identified rules. The computer-implemented method also includes identifying an event as satisfying an identified rule in memory using the indexed first and second data.
G06N 5/04 - Modèles d’inférence ou de raisonnement
G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation
G06N 5/02 - Représentation de la connaissanceReprésentation symbolique
13.
Computer-implemented systems and methods of analyzing data in an ad-hoc network for predictive decision-making
A computer-implemented system and method of predictive decision-making in an ad hoc network. The computer-implemented method includes receiving a set of rules into the ad hoc network and identifying a data set for each rule. The computer-implemented method also includes selecting a first and second node from the ad hoc network to process a first and second rule as a function of the identified data set according to an optimizing algorithm. The computer-implemented method also selects a third node to receive the processed results from the first and second nodes. An indication is provided of the processed results by the third node.
G08B 31/00 - Systèmes d'alarme à prédiction caractérisés par une extrapolation ou un autre type de calcul utilisant des données historiques mises à jour
G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]
G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation
G06N 5/02 - Représentation de la connaissanceReprésentation symbolique
H04W 4/02 - Services utilisant des informations de localisation
H04W 84/18 - Réseaux auto-organisés, p. ex. réseaux ad hoc ou réseaux de détection
14.
Computer-implemented systems and methods of analyzing spatial, temporal and contextual elements of data for predictive decision-making
A computer-implemented system and method of analyzing spatial, temporal and contextual elements of data for predictive decision-making. The computer-implemented method includes receiving a first set of rules and receiving first data and second data including spatial, temporal and contextual elements. The computer-implemented method also includes identifying each rule of the first set for which the received first data and the received second data is a respective candidate. For the identified rules for which the received first data is a candidate, and for the identified rules for which the received second data is a candidate, the respective received first data and received second data is indexed by its temporal, spatial or contextual elements as a function of the identified rules. The computer-implemented method also includes identifying an event as satisfying an identified rule in memory using the indexed first and second data.
A computer-implemented system and method of predictive decision-making in an ad hoc network. The computer-implemented method includes receiving a set of rules into the ad hoc network and identifying a data set for each rule. The computer-implemented method also includes selecting a first and second node from the ad hoc network to process a first and second rule as a function of the identified data set according to an optimizing algorithm. The computer-implemented method also selects a third node to receive the processed results from the first and second nodes. An indication is provided of the processed results by the third node.
G06Q 10/04 - Prévision ou optimisation spécialement adaptées à des fins administratives ou de gestion, p. ex. programmation linéaire ou "problème d’optimisation des stocks"
G06Q 10/0637 - Gestion ou analyse stratégiques, p. ex. définition d’un objectif ou d’une cible pour une organisationPlanification des actions en fonction des objectifsAnalyse ou évaluation de l’efficacité des objectifs
H04L 67/10 - Protocoles dans lesquels une application est distribuée parmi les nœuds du réseau
H04L 67/5651 - Conversion ou adaptation du format ou du contenu d'applications en réduisant la quantité ou la taille des données d'application échangées
H04W 4/02 - Services utilisant des informations de localisation
H04W 4/029 - Services de gestion ou de suivi basés sur la localisation
H04W 84/18 - Réseaux auto-organisés, p. ex. réseaux ad hoc ou réseaux de détection
09 - Appareils et instruments scientifiques et électriques
35 - Publicité; Affaires commerciales
Produits et services
Software for predictive location-enabled analytical
solutions and information. Business intelligence services featuring visualized and
predictive location enabled analytical solutions.