The Experts below are selected from a list of 123 Experts worldwide ranked by ideXlab platform

James H. Myatt - One of the best experts on this subject based on the ideXlab platform.

  • CDC - Optimal order reduction for the the two-dimensional burgers’ equation
    2007 46th IEEE Conference on Decision and Control, 2007
    Co-Authors: Seddik M. Djouadi, R.c. Camphouse, James H. Myatt
    Abstract:

    Two popular model reduction methods, the proper orthogonal decomposition (POD), and balanced truncation, are applied together with Galerkin projection to the two- dimensional Burgers' equation. This scalar equation is chosen because it has a nonlinearity that is similar to the Navier- Stokes equation, but it can be accurately simulated using far fewer states. However, the number of states required is still too high for controller design purposes. The combination of POD and balanced truncation approaches results in a reduced order model that captures the dynamics of the input-output system. In addition, These two techniques are shown to be optimal in the sense of distance minimizations in spaces of Hilbert-Schmidt integral operators. POD is interpreted as a shortest distance minimization from an L2 Space-Time Function to a particular tensor product subspace. Both POD and balanced truncation are shown to be optimal approximations by finite rank operators in the Hilbert-Schmidt norm, the latter when starting with a balanced state space realization.

  • Optimal order reduction for the the two-dimensional burgers’ equation
    2007 46th IEEE Conference on Decision and Control, 2007
    Co-Authors: Seddik M. Djouadi, Chris R. Camphouse, James H. Myatt
    Abstract:

    Two popular model reduction methods, the proper orthogonal decomposition (POD), and balanced truncation, are applied together with Galerkin projection to the two- dimensional Burgers' equation. This scalar equation is chosen because it has a nonlinearity that is similar to the Navier- Stokes equation, but it can be accurately simulated using far fewer states. However, the number of states required is still too high for controller design purposes. The combination of POD and balanced truncation approaches results in a reduced order model that captures the dynamics of the input-output system. In addition, These two techniques are shown to be optimal in the sense of distance minimizations in spaces of Hilbert-Schmidt integral operators. POD is interpreted as a shortest distance minimization from an L2 Space-Time Function to a particular tensor product subspace. Both POD and balanced truncation are shown to be optimal approximations by finite rank operators in the Hilbert-Schmidt norm, the latter when starting with a balanced state space realization.

Preecha Yupapin - One of the best experts on this subject based on the ideXlab platform.

  • Correction to “Microring Distributed Sensors Using Space-Time Function Control”
    IEEE Sensors Journal, 2020
    Co-Authors: Montree Bunruangses, Phichai Youplao, Iraj Sadegh Amiri, Nithiroth Pornsuwancharoen, S. Punthawanunt, Ghanshyam Singh, Preecha Yupapin
    Abstract:

    Unfortunately, we had mistaken some necessary sentences within the first paragraph in the footnote section and the acknowledgment section of the above article [1] , which are required from the first author’s affiliation so that the research project can attain the research grant support. The correct sentences within the two sections are given here.

  • Microring Distributed Sensors Using Space-Time Function Control
    IEEE Sensors Journal, 2020
    Co-Authors: Montree Bunruangses, Phichai Youplao, Iraj Sadegh Amiri, Nithiroth Pornsuwancharoen, S. Punthawanunt, Ghanshyam Singh, Preecha Yupapin
    Abstract:

    Distributed microring sensors using Space-Time Function control is proposed for artificial microfacial sensors. The system consists of 6 different node locations, corresponding to the form of the human microfacial structure. Two Space-Time Function input sources are fed into the system simultaneously. The distributed stereo network sensors are investigated. Each sensor node is embedded by a different gold grating period, in which the coupling between the photon and grating generates different plasmonic Bragg wavelengths outputs, which can be used to identify the node positions. The changes introduced to the sensor nodes via the Space-Time Function relationship, such as the polariton (phonon), wavelength, frequency, and temporal change of the Bragg wavelength, can be measured. By using the whispering gallery mode output, the dipole oscillation of each node can be obtained, which can be used for a distributed facial sensor network. The distributed network is connected by the microring coupling in the system. By using the stereo sensor and Space-Time Function sources, a balance of the two-channel sensing signals, known as a stereo sensor, can enable a self-calibration of the sensor, which is achieved. Moreover, exchange between the polariton and electron can be achieved, and electro-optic conversion is obtained. Moreover, the electro-optic conversion obtained by exchanging the polariton and electron energies means that both wireless and cable transmission modes can be employed.

  • Double Vision Model Using Space-Time Function Control within Silicon Microring System
    Silicon, 2019
    Co-Authors: Montree Bunruangses, Phichai Youplao, Iraj Sadegh Amiri, Nithiroth Pornsuwancharoen, Preecha Yupapin
    Abstract:

    This paper presents the use of space and time Function applied simultaneously into the silicon microring system arrangement for double vision problem solving and enhancement. The eye structure formed by three silicon ring resonators, in which the 3D imaging constructed and modulated by the space Function and time Function rings, respectively. The double vision problem manipulated by the interference of the whispering gallery modes generated by the system, the final image information connected the central nerve cells. The 3D imaging constructed by the space Function formed by the whispering gallery modes (WGMs) named as object and reference beams. The image information modulated by the WGM of time Function signals from the small ring (3rd eye). By using the suitable parameters, the WGMs of light beams within a system generated, from which the coupling of an object and reference beams used for imaging perception. The control part is the WGM beam generated by the time Function that inputs into the small ring. The simulation results obtained have shown that the double vision control and adjust by the Space-Time Function achieved, in which the vision wavelength and frequency can be expanded from 0.40–1.80 μm and 150–700 THz, respectively, which has the potential for artificial eye application.

Montree Bunruangses - One of the best experts on this subject based on the ideXlab platform.

  • Correction to “Microring Distributed Sensors Using Space-Time Function Control”
    IEEE Sensors Journal, 2020
    Co-Authors: Montree Bunruangses, Phichai Youplao, Iraj Sadegh Amiri, Nithiroth Pornsuwancharoen, S. Punthawanunt, Ghanshyam Singh, Preecha Yupapin
    Abstract:

    Unfortunately, we had mistaken some necessary sentences within the first paragraph in the footnote section and the acknowledgment section of the above article [1] , which are required from the first author’s affiliation so that the research project can attain the research grant support. The correct sentences within the two sections are given here.

  • Microring Distributed Sensors Using Space-Time Function Control
    IEEE Sensors Journal, 2020
    Co-Authors: Montree Bunruangses, Phichai Youplao, Iraj Sadegh Amiri, Nithiroth Pornsuwancharoen, S. Punthawanunt, Ghanshyam Singh, Preecha Yupapin
    Abstract:

    Distributed microring sensors using Space-Time Function control is proposed for artificial microfacial sensors. The system consists of 6 different node locations, corresponding to the form of the human microfacial structure. Two Space-Time Function input sources are fed into the system simultaneously. The distributed stereo network sensors are investigated. Each sensor node is embedded by a different gold grating period, in which the coupling between the photon and grating generates different plasmonic Bragg wavelengths outputs, which can be used to identify the node positions. The changes introduced to the sensor nodes via the Space-Time Function relationship, such as the polariton (phonon), wavelength, frequency, and temporal change of the Bragg wavelength, can be measured. By using the whispering gallery mode output, the dipole oscillation of each node can be obtained, which can be used for a distributed facial sensor network. The distributed network is connected by the microring coupling in the system. By using the stereo sensor and Space-Time Function sources, a balance of the two-channel sensing signals, known as a stereo sensor, can enable a self-calibration of the sensor, which is achieved. Moreover, exchange between the polariton and electron can be achieved, and electro-optic conversion is obtained. Moreover, the electro-optic conversion obtained by exchanging the polariton and electron energies means that both wireless and cable transmission modes can be employed.

  • Correction to “Microring Distributed Sensors Using Space-Time Function Control” [Jan 20 799-805]
    IEEE Sensors Journal, 2020
    Co-Authors: Montree Bunruangses, Phichai Youplao, Iraj Sadegh Amiri, Nithiroth Pornsuwancharoen, S. Punthawanunt, Ghanshyam Singh, Preecha Yupapin
    Abstract:

    Unfortunately, we had mistaken some necessary sentences within the first paragraph in the footnote section and the acknowledgment section of the above article [1], which are required from the first author’s affiliation so that the research project can attain the research grant support. The correct sentences within the two sections are given here.

  • Double Vision Model Using Space-Time Function Control within Silicon Microring System
    Silicon, 2019
    Co-Authors: Montree Bunruangses, Phichai Youplao, Iraj Sadegh Amiri, Nithiroth Pornsuwancharoen, Preecha Yupapin
    Abstract:

    This paper presents the use of space and time Function applied simultaneously into the silicon microring system arrangement for double vision problem solving and enhancement. The eye structure formed by three silicon ring resonators, in which the 3D imaging constructed and modulated by the space Function and time Function rings, respectively. The double vision problem manipulated by the interference of the whispering gallery modes generated by the system, the final image information connected the central nerve cells. The 3D imaging constructed by the space Function formed by the whispering gallery modes (WGMs) named as object and reference beams. The image information modulated by the WGM of time Function signals from the small ring (3rd eye). By using the suitable parameters, the WGMs of light beams within a system generated, from which the coupling of an object and reference beams used for imaging perception. The control part is the WGM beam generated by the time Function that inputs into the small ring. The simulation results obtained have shown that the double vision control and adjust by the Space-Time Function achieved, in which the vision wavelength and frequency can be expanded from 0.40–1.80 μm and 150–700 THz, respectively, which has the potential for artificial eye application.

S. Punthawanunt - One of the best experts on this subject based on the ideXlab platform.

  • High-density quantum bits generation using microring plasmonic antenna
    Optical and Quantum Electronics, 2020
    Co-Authors: A. E. Arumona, S. Punthawanunt, I. S. Amiri, P. Yupapin
    Abstract:

    Plasmonic antenna in the form of the panda-ring circuit proposed, which consists of a silicon microring with two side nanorings, from which the silicon microring embedded by a gold grating. The gold grating generated polariton which results in oscillation of plasmonic wave with plasma frequency, from which the center wavelength shifted to the Bragg wavelength. The Bragg wavelength at resonance applied for all calculations. By using suitable parameters, the whispering gallery mode obtained, which is the consequence of trapping of light inside the silicon microring. In manipulation, the input light of 1.50 µm center wavelength fed into the system. The input power varied from 3 to 15 mW. The electron densities are trapped and transported either by cable connection or wireless connection making use of the whispering gallery mode. For the space–time Function, the space Function signal is the dark soliton, which fed into the panda-ring circuit through the input port. The space–time Function was multiplexed using the modulated Gaussian pulse through the add port where the signals multiplexed by signals of higher frequency circulating within the system. These results in the formation of the flip flop (clock) signal as well as the spin up and spin down signals which can transmit via dual-mode operation. By using the spin projection modulation control, the transmission bit rates of ~ 40 Pbit s^−1 is achieved.

  • Correction to “Microring Distributed Sensors Using Space-Time Function Control”
    IEEE Sensors Journal, 2020
    Co-Authors: Montree Bunruangses, Phichai Youplao, Iraj Sadegh Amiri, Nithiroth Pornsuwancharoen, S. Punthawanunt, Ghanshyam Singh, Preecha Yupapin
    Abstract:

    Unfortunately, we had mistaken some necessary sentences within the first paragraph in the footnote section and the acknowledgment section of the above article [1] , which are required from the first author’s affiliation so that the research project can attain the research grant support. The correct sentences within the two sections are given here.

  • Microring Distributed Sensors Using Space-Time Function Control
    IEEE Sensors Journal, 2020
    Co-Authors: Montree Bunruangses, Phichai Youplao, Iraj Sadegh Amiri, Nithiroth Pornsuwancharoen, S. Punthawanunt, Ghanshyam Singh, Preecha Yupapin
    Abstract:

    Distributed microring sensors using Space-Time Function control is proposed for artificial microfacial sensors. The system consists of 6 different node locations, corresponding to the form of the human microfacial structure. Two Space-Time Function input sources are fed into the system simultaneously. The distributed stereo network sensors are investigated. Each sensor node is embedded by a different gold grating period, in which the coupling between the photon and grating generates different plasmonic Bragg wavelengths outputs, which can be used to identify the node positions. The changes introduced to the sensor nodes via the Space-Time Function relationship, such as the polariton (phonon), wavelength, frequency, and temporal change of the Bragg wavelength, can be measured. By using the whispering gallery mode output, the dipole oscillation of each node can be obtained, which can be used for a distributed facial sensor network. The distributed network is connected by the microring coupling in the system. By using the stereo sensor and Space-Time Function sources, a balance of the two-channel sensing signals, known as a stereo sensor, can enable a self-calibration of the sensor, which is achieved. Moreover, exchange between the polariton and electron can be achieved, and electro-optic conversion is obtained. Moreover, the electro-optic conversion obtained by exchanging the polariton and electron energies means that both wireless and cable transmission modes can be employed.

  • Correction to “Microring Distributed Sensors Using Space-Time Function Control” [Jan 20 799-805]
    IEEE Sensors Journal, 2020
    Co-Authors: Montree Bunruangses, Phichai Youplao, Iraj Sadegh Amiri, Nithiroth Pornsuwancharoen, S. Punthawanunt, Ghanshyam Singh, Preecha Yupapin
    Abstract:

    Unfortunately, we had mistaken some necessary sentences within the first paragraph in the footnote section and the acknowledgment section of the above article [1], which are required from the first author’s affiliation so that the research project can attain the research grant support. The correct sentences within the two sections are given here.

  • Electron Cloud Spectroscopy Using Micro-Ring Fabry–Perot Sensor Embedded Gold Grating
    IEEE Sensors Journal, 2020
    Co-Authors: A. E. Arumona, Phichai Youplao, Iraj Sadegh Amiri, S. Punthawanunt, Anita Garhwal, Preecha Yupapin
    Abstract:

    An electron cloud spectroscopy system consisting of a microring and Bragg grating Fabry-Perot is proposed. It has the form of a Panda-ring formed by an add-drop filter with nonlinear two-phase modulators. The input light of $1.50\mu \text{m}$ center wavelength is fed into the system. By using suitable two-phase modulator parameters, the whispering gallery mode (WGM) of light is formed at the center ring. The gold plate at the center microring illuminated by light leads to electron cloud oscillations forming the electron density that results in the spin up and spin down of electrons. The electron cloud spins (spin up and spin down) form the qubits which can be transmitted to the Fabry-Perot sensing unit by the spin waves. The Fabry-Perot sensing unit measures the spectral profile of the electron cloud spins. To observe the spectral profile of the electron cloud spins a large bandwidth is employed. The Space-Time Function is applied to distinguish the electron cloud spins, which leads to having the selected spin switching time and sensor sensitivity resolution. By varying the input power and the gold grating gaps, the change in optical path difference formed in terms of the electron cloud spins at the center ring, where the optimum of ~10Pbit is obtained. Both the reflection and transmission schemes of the microring Fabry-Perot circuit have bit rates of ~6Pbit $s^{-1}$ . The reflection and transmission spectra have a free spectral range of ~0.04–0.14 $\mu \text{m}$ . The optimum sensitivity of the microring Fabry-Perot sensor is $0.31\mu \,\,\text{m}^{-1}$ .

Seddik M. Djouadi - One of the best experts on this subject based on the ideXlab platform.

  • CDC - Optimal order reduction for the the two-dimensional burgers’ equation
    2007 46th IEEE Conference on Decision and Control, 2007
    Co-Authors: Seddik M. Djouadi, R.c. Camphouse, James H. Myatt
    Abstract:

    Two popular model reduction methods, the proper orthogonal decomposition (POD), and balanced truncation, are applied together with Galerkin projection to the two- dimensional Burgers' equation. This scalar equation is chosen because it has a nonlinearity that is similar to the Navier- Stokes equation, but it can be accurately simulated using far fewer states. However, the number of states required is still too high for controller design purposes. The combination of POD and balanced truncation approaches results in a reduced order model that captures the dynamics of the input-output system. In addition, These two techniques are shown to be optimal in the sense of distance minimizations in spaces of Hilbert-Schmidt integral operators. POD is interpreted as a shortest distance minimization from an L2 Space-Time Function to a particular tensor product subspace. Both POD and balanced truncation are shown to be optimal approximations by finite rank operators in the Hilbert-Schmidt norm, the latter when starting with a balanced state space realization.

  • Optimal order reduction for the the two-dimensional burgers’ equation
    2007 46th IEEE Conference on Decision and Control, 2007
    Co-Authors: Seddik M. Djouadi, Chris R. Camphouse, James H. Myatt
    Abstract:

    Two popular model reduction methods, the proper orthogonal decomposition (POD), and balanced truncation, are applied together with Galerkin projection to the two- dimensional Burgers' equation. This scalar equation is chosen because it has a nonlinearity that is similar to the Navier- Stokes equation, but it can be accurately simulated using far fewer states. However, the number of states required is still too high for controller design purposes. The combination of POD and balanced truncation approaches results in a reduced order model that captures the dynamics of the input-output system. In addition, These two techniques are shown to be optimal in the sense of distance minimizations in spaces of Hilbert-Schmidt integral operators. POD is interpreted as a shortest distance minimization from an L2 Space-Time Function to a particular tensor product subspace. Both POD and balanced truncation are shown to be optimal approximations by finite rank operators in the Hilbert-Schmidt norm, the latter when starting with a balanced state space realization.