Abstract: Example embodiments relate to a substrate integrated waveguide (SIW) with dual circular polarizations. An example SIW may include a dielectric substrate and a first metallic layer coupled to a top surface of the dielectric substrate with a through-hole extending through the dielectric substrate and the first metallic layer. The SIW also includes a dielectric layer coupled to a top surface of the first metallic layer. A second metallic layer is coupled to a top surface of the dielectric layer. The second metallic layer includes a non-conductive opening, a plurality of feeds with a first end in the non-conductive opening and a second end including a single-ended termination, and an impedance transformer. The SIW also includes a third metallic layer coupled to a bottom of the dielectric substrate, and a set of metallic via-holes proximate the non-conductive opening and coupling the second metallic layer to the third metallic layer.

Abstract: Example embodiments relate to substrate integrated waveguide (SIW) transitions. An example SIW may include a dielectric substrate having a top surface and a bottom surface and a first metallic layer portion coupled to the top surface of the dielectric substrate that includes a single-ended termination, an impedance transformer, and a metallic rectangular patch located within an open portion in the first metallic layer portion such that the open portion forms a non-conductive loop around the metallic rectangular patch. The SIW also includes a second metallic layer portion coupled to the bottom surface of the dielectric substrate and metallic via-holes electrically coupling the first metallic layer to the second metallic layer. The SIW may be implemented in a radar unit to couple antennas to a printed circuit board (PCB). In some examples, the SIW may be implemented with only a non-conductive opening that lacks the metallic rectangular patch.

Abstract: Example embodiments relate to substrate integrated waveguide (SIW) transitions. An example SIW may include a dielectric substrate having a top surface and a bottom surface and a first metallic layer portion coupled to the top surface of the dielectric substrate that includes a single-ended termination, an impedance transformer, and a metallic rectangular patch located within an open portion in the first metallic layer portion such that the open portion forms a non-conductive loop around the metallic rectangular patch. The SIW also includes a second metallic layer portion coupled to the bottom surface of the dielectric substrate and metallic via-holes electrically coupling the first metallic layer to the second metallic layer. The SIW may be implemented in a radar unit to couple antennas to a printed circuit board (PCB). In some examples, the SIW may be implemented with only a non-conductive opening that lacks the metallic rectangular patch.

Abstract: Example embodiments relate to substrate integrated waveguide (SIW) transitions. An example SIW may include a dielectric substrate having a top surface and a bottom surface and a first metallic layer portion coupled to the top surface of the dielectric substrate that includes a single-ended termination, an impedance transformer, and a metallic rectangular patch located within an open portion in the first metallic layer portion such that the open portion forms a non-conductive loop around the metallic rectangular patch. The SIW also includes a second metallic layer portion coupled to the bottom surface of the dielectric substrate and metallic via-holes electrically coupling the first metallic layer to the second metallic layer. The SIW may be implemented in a radar unit to couple antennas to a printed circuit board (PCB). In some examples, the SIW may be implemented with only a non-conductive opening that lacks the metallic rectangular patch.

Abstract: Example embodiments relate to substrate integrated waveguide (SIW) transitions. An example SIW may include a dielectric substrate having a top surface and a bottom surface and a first metallic layer portion coupled to the top surface of the dielectric substrate that includes a single-ended termination, an impedance transformer, and a metallic rectangular patch located within an open portion in the first metallic layer portion such that the open portion forms a non-conductive loop around the metallic rectangular patch. The SIW also includes a second metallic layer portion coupled to the bottom surface of the dielectric substrate and metallic via-holes electrically coupling the first metallic layer to the second metallic layer. The SIW may be implemented in a radar unit to couple antennas to a printed circuit board (PCB). In some examples, the SIW may be implemented with only a non-conductive opening that lacks the metallic rectangular patch.

Abstract: In the present work, quantum clustering is extended to provide a dynamical approach for data clustering using a time-dependent Schrödinger equation. To expedite computations, we can approximate the time-dependent Hamiltonian formalism by a truncated calculation within a set of Gaussian wave-functions (coherent states) centered around the original points. This allows for analytic evaluation of the time evolution of all such states, opening up the possibility of exploration of relationships among data points through observation of varying dynamical-distances among points and convergence of points into clusters. This formalism may be further supplemented by preprocessing, such as dimensional reduction through singular value decomposition and/or feature filtering. Additionally, the parameters of the analysis can be modified in order to improve the efficiency of the dynamic quantum clustering processes.

Abstract: A system and method are provided for controlling mastership among multiple devices in a fault tolerant manner. The devices may be configured to transmit and receive redundant heartbeat signals to indicate the mastership state of the device. The signals may operate in a plurality of configurations including active-master, ready and not-ready. By detecting the signal configuration sent from the other devices, each device is capable of managing its own transitions into and out of mastership in order to ensure that there is one and only one device functioning as master.

Abstract: Data clustering is provided according to a dynamical framework based on quantum mechanical time evolution of states corresponding to data points. To expedite computations, we can approximate the time-dependent Hamiltonian formalism by a truncated calculation within a set of Gaussian wave-functions (coherent states) centered around the original points. This allows for analytic evaluation of the time evolution of all such states, opening up the possibility of exploration of relationships among data-points through observation of varying dynamical-distances among points and convergence of points into clusters. This formalism may be further supplemented by preprocessing, such as dimensional reduction through singular value decomposition and/or feature filtering.

Abstract: A method for selecting a global positioning receiver includes receiving global positioning system signals from global positioning system receivers. The global positioning system receivers receive the global positioning system signals from corresponding global positioning system satellites. The method also includes replicating the global positioning system signals from the global positioning system receivers, determining a signal drift and a phase precision for each global positioning system signal, and selecting one of the global positioning system signals based on the corresponding signal drift and the phase precision of the global positioning system signal.

Abstract: A method for selecting a global positioning receiver includes receiving global positioning system signals from global positioning system receivers. The global positioning system receivers receive the global positioning system signals from corresponding global positioning system satellites. The method also includes determining a signal quality score of each received signal based on a signal drift and a phase precision of the corresponding signal, and selecting one of the received global positioning system signals having the highest signal quality score.

Abstract: A cascaded distribution framework includes a global positioning system receiver in communication with optical line terminals. Each global positioning system receiver receives a signal from a corresponding global positioning system satellite. Each optical line terminal includes a management card for each global positioning system receiver in communication with the optical line terminal and a line card. The management card receives a global positioning system signal from a corresponding global positioning system receiver. The line card is collocated for each management card in the optical line terminal. Each line card receives a global positioning system signal from each management card in the optical line terminal, determines a signal quality score of each received signal based on a signal drift and a phase precision of the corresponding signal, and selects one of the received global positioning system signals having the highest signal quality score.

Abstract: A signal distribution system includes global positioning system receivers in communication with optical line terminals and a system manager. Each global positioning system receiver receives a signal from a corresponding global positioning system satellite. Each optical line terminal includes a management card and a line card. The management card receives a signal from a corresponding global positioning system receiver. Each line card receives a signal from each management card and determines a signal drift and a phase precision for each signal. The system manager receives a failure communication for a global positioning system signal from a line card when the signal drift of the global positioning system signal is above a threshold signal drift or the phase precision of the signal is below a threshold phase precision. The system manager identifies a failure location of the signal within the system based on one or more received failure communications.

Abstract: In the present work, quantum clustering is extended to provide a dynamical approach for data clustering using a time-dependent Schrödinger equation. To expedite computations, we can approximate the time-dependent Hamiltonian formalism by a truncated calculation within a set of Gaussian wave-functions (coherent states) centered around the original points. This allows for analytic evaluation of the time evolution of all such states, opening up the possibility of exploration of relationships among data points through observation of varying dynamical-distances among points and convergence of points into clusters. This formalism may be further supplemented by preprocessing, such as dimensional reduction through singular value decomposition and/or feature filtering. Additionally, the parameters of the analysis can be modified in order to improve the efficiency of the dynamic quantum clustering processes.

Abstract: Data clustering is provided according to a dynamical framework based on quantum mechanical time evolution of states corresponding to data points. To expedite computations, we can approximate the time-dependent Hamiltonian formalism by a truncated calculation within a set of Gaussian wave-functions (coherent states) centered around the original points. This allows for analytic evaluation of the time evolution of all such states, opening up the possibility of exploration of relationships among data-points through observation of varying dynamical-distances among points and convergence of points into clusters. This formalism may be further supplemented by preprocessing, such as dimensional reduction through singular value decomposition and/or feature filtering.

Abstract: Data clustering is provided according to a dynamical framework based on quantum mechanical time evolution of states corresponding to data points. To expedite computations, we can approximate the time-dependent Hamiltonian formalism by a truncated calculation within a set of Gaussian wave-functions (coherent states) centered around the original points. This allows for analytic evaluation of the time evolution of all such states, opening up the possibility of exploration of relationships among data-points through observation of varying dynamical-distances among points and convergence of points into clusters. This formalism may be further supplemented by preprocessing, such as dimensional reduction through singular value decomposition and/or feature filtering.

Abstract: Data clustering is provided according to a dynamical framework based on quantum mechanical time evolution of states corresponding to data points. To expedite computations, we can approximate the time-dependent Hamiltonian formalism by a truncated calculation within a set of Gaussian wave-functions (coherent states) centered around the original points. This allows for analytic evaluation of the time evolution of all such states, opening up the possibility of exploration of relationships among data-points through observation of varying dynamical-distances among points and convergence of points into clusters. This formalism may be further supplemented by preprocessing, such as dimensional reduction through singular value decomposition and/or feature filtering.