Abstract: An Internet of Things (IoT) system is disclosed which includes: a network; a plurality of IoT servers coupled together and serviced by the network; a plurality of IoT agents coupled to each other and to the plurality of IoT servers; and a plurality of IoT devices electrically coupled to the plurality of IoT agents, wherein the IoT servers and the IoT agents further includes a deep reinforcement neural network operative to generate an action map {at} so as to satisfy an arg ? ? max ? a t ? Q ? ( s , a , ? ) wherein Q(s,a)=E[Rt|(s, a)].

Abstract: An Internet of Things (IoT) platform is disclosed which includes: a network; a plurality of IoT servers coupled together and serviced by the network; a plurality of IoT managers coupled to each other and to the plurality of IoT servers; and a plurality of IoT devices electrically coupled to the plurality of IoT managers, wherein the IoT servers and the IoT managers of the present invention are operable to configure a plug-and-play and point to multipoint communication environment where the plurality of IoT devices, the plurality of IoT servers, and the plurality of IoT managers communicate with one another in a plug-and-play manner and in a point to multipoint manner regardless of their physical connections, industrial standards, and communication protocols.

Abstract: An Internet of Things (IoT) system is disclosed which includes: a network; a plurality of IoT servers coupled together and serviced by the network; a plurality of IoT agents coupled to each other and to the plurality of IoT servers; and a plurality of IoT devices electrically coupled to the plurality of IoT agents, wherein the IoT servers and the IoT agents further includes a deep reinforcement neural network operative to generate an action map {at} so as to satisfy an arg ? ? max ? a t ? Q ? ( s , a , ? ) wherein Q(s,a)=E[Rt|(s, a)].

Abstract: A smart parking system and method are disclosed which includes a plug-and-play and point to multipoint (PnP&P2MP) based internet of things (IoT) parking sensors, gateway managers, and user devices that can share information via a network. The information is used to preserve parking spaces, calculate minimum parking search time, and establish a dynamic queuing system to achieve high throughput, avoid traffic congestion and time losses.

Abstract: An Internet of Things (IoT) platform is disclosed which includes: a network; a plurality of IoT servers coupled together and serviced by the network; a plurality of IoT managers coupled to each other and to the plurality of IoT servers; and a plurality of IoT devices electrically coupled to the plurality of IoT managers, wherein the IoT servers and the IoT managers of the present invention are operable to configure a plug-and-play and point to multipoint communication environment where the plurality of IoT devices, the plurality of IoT servers, and the plurality of IoT managers communicate with one another in a plug-and-play manner and in a point to multipoint manner regardless of their physical connections, industrial standards, and communication protocols.

Abstract: An Internet of Things (IoT) platform is disclosed which includes: a network; a plurality of IoT servers coupled together and serviced by the network; a plurality of IoT managers coupled to each other and to the plurality of IoT servers; and a plurality of IoT devices electrically coupled to the plurality of IoT managers, wherein the IoT servers and the IoT managers of the present invention are operable to configure a plug-and-play and point to multipoint communication environment where the plurality of IoT devices, the plurality of IoT servers, and the plurality of IoT managers communicate with one another in a plug-and-play manner and in a point to multipoint manner regardless of their physical connections, industrial standards, and communication protocols.

Abstract: A method of diagnosing an aircraft by analyzing at least one spectrum obtained from measurements taken on the aircraft, in particular from vibration measurements, in which the spectrum (spectra) to be analyzed is/are input to a calculation module (23) together with at least one first reference spectrum, the calculation module determining a diagnosis value (Diag) as a function of the spectrum (spectra) to be analyzed, of the reference spectrum (spectra), and of parameters determined from at least two reference spectra including the first reference spectrum.

Abstract: A method of diagnosing an aircraft by analyzing at least one spectrum obtained from measurements taken on the aircraft, in particular from vibration measurements, in which the spectrum (spectra) to be analyzed is/are input to a calculation module (23) together with at least one first reference spectrum, the calculation module determining a diagnosis value (Diag) as a function of the spectrum (spectra) to be analyzed, of the reference spectrum (spectra), and of parameters determined from at least two reference spectra including the first reference spectrum.