The Experts below are selected from a list of 1281 Experts worldwide ranked by ideXlab platform
Euisik Yoon - One of the best experts on this subject based on the ideXlab platform.
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low power bio inspired time stamp based 2 d optic flow sensor for artificial compound eyes of micro air vehicles
IEEE Sensors Journal, 2019Co-Authors: Seokjun Park, Hyunsoo Song, Sungyun Park, Euisik YoonAbstract:We report a low-power, bio-inspired mixed-signal 2-D optic flow sensor to realize artificial compound eyes, which can provide a wide field of view (FoV) sensing capability for autonomous navigation of micro-air-vehicles (MAVs). Inspired by insect vision, a 2-D time-stamp algorithm has been developed to scale the number of deployable sensors at low power. The fabricated sensor estimates 16-b 2-D optic flows of maximum 1.96 rad/s with FoV of 60° from the integrated mixed-signal algorithm core, which consumes only 243.3 pJ/pixel or $\sim 30~\mu \text{W}$ at 120 fps. In addition, the peripheral circuits for modular design have been integrated on chip to provide optic flow data compression, wide-field integration (WFI), and serial peripheral interface (SPI). More than 25 sensors can be connected in a single SPI bus and transmit the full resolution optic flows. The fabricated prototype sensor supports full resolution 2-D optic flows from an array of $64\times 64$ pixels at 120 fps through a 3 MB/s SPI bus (4 wires total).
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Low-power, bio-inspired time-stamp-based 2-d optic flow sensor for artificial compound eyes of micro air vehicles
'Institute of Electrical and Electronics Engineers (IEEE)', 2019Co-Authors: Seokjun Park, Hyunsoo Song, Sungyun Park, Kyuseok Lee, Jihyun Cho, Euisik YoonAbstract:© 2001-2012 IEEE.We report a low-power, bio-inspired mixed-signal 2-D optic flow sensor to realize artificial compound eyes, which can provide a wide field of view (FoV) sensing capability for autonomous navigation of micro-Air-vehicles (MAVs). Inspired by insect vision, a 2-D time-stamp algorithm has been developed to scale the number of deployable sensors at low power. The fabricated sensor estimates 16-b 2-D optic flows of maximum 1.96 rad/s with FoV of 60° from the integrated mixed-signal algorithm core, which consumes only 243.3 pJ/pixel ∼ 30 μ at 120 fps. In addition, the peripheral circuits for modular design have been integrated on chip to provide optic flow data compression, wide-field integration (WFI), and serial peripheral interface (SPI). More than 25 sensors can be connected in a single SPI bus and transmit the full resolution optic flows. The fabricated prototype sensor supports full resolution 2-D optic flows from an array of 64×64 pixels at 120 fps through a 3 MB/s SPI bus (4 wires total)11sciescopu
Seokjun Park - One of the best experts on this subject based on the ideXlab platform.
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low power bio inspired time stamp based 2 d optic flow sensor for artificial compound eyes of micro air vehicles
IEEE Sensors Journal, 2019Co-Authors: Seokjun Park, Hyunsoo Song, Sungyun Park, Euisik YoonAbstract:We report a low-power, bio-inspired mixed-signal 2-D optic flow sensor to realize artificial compound eyes, which can provide a wide field of view (FoV) sensing capability for autonomous navigation of micro-air-vehicles (MAVs). Inspired by insect vision, a 2-D time-stamp algorithm has been developed to scale the number of deployable sensors at low power. The fabricated sensor estimates 16-b 2-D optic flows of maximum 1.96 rad/s with FoV of 60° from the integrated mixed-signal algorithm core, which consumes only 243.3 pJ/pixel or $\sim 30~\mu \text{W}$ at 120 fps. In addition, the peripheral circuits for modular design have been integrated on chip to provide optic flow data compression, wide-field integration (WFI), and serial peripheral interface (SPI). More than 25 sensors can be connected in a single SPI bus and transmit the full resolution optic flows. The fabricated prototype sensor supports full resolution 2-D optic flows from an array of $64\times 64$ pixels at 120 fps through a 3 MB/s SPI bus (4 wires total).
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Low-power, bio-inspired time-stamp-based 2-d optic flow sensor for artificial compound eyes of micro air vehicles
'Institute of Electrical and Electronics Engineers (IEEE)', 2019Co-Authors: Seokjun Park, Hyunsoo Song, Sungyun Park, Kyuseok Lee, Jihyun Cho, Euisik YoonAbstract:© 2001-2012 IEEE.We report a low-power, bio-inspired mixed-signal 2-D optic flow sensor to realize artificial compound eyes, which can provide a wide field of view (FoV) sensing capability for autonomous navigation of micro-Air-vehicles (MAVs). Inspired by insect vision, a 2-D time-stamp algorithm has been developed to scale the number of deployable sensors at low power. The fabricated sensor estimates 16-b 2-D optic flows of maximum 1.96 rad/s with FoV of 60° from the integrated mixed-signal algorithm core, which consumes only 243.3 pJ/pixel ∼ 30 μ at 120 fps. In addition, the peripheral circuits for modular design have been integrated on chip to provide optic flow data compression, wide-field integration (WFI), and serial peripheral interface (SPI). More than 25 sensors can be connected in a single SPI bus and transmit the full resolution optic flows. The fabricated prototype sensor supports full resolution 2-D optic flows from an array of 64×64 pixels at 120 fps through a 3 MB/s SPI bus (4 wires total)11sciescopu
Emanuel M. Popovici - One of the best experts on this subject based on the ideXlab platform.
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Nano-Power Wireless Wake-Up Receiver With serial peripheral interface
IEEE Journal on Selected Areas in Communications, 2011Co-Authors: Stevan J. Marinkovic, Emanuel M. PopoviciAbstract:We designed, implemented, tested and measured an ultra low power Wake Up Receiver (WUR), intended for use in Wireless Body Area Networks (WBAN). Gaussian On-Off Keying (GOOK) and Pulse Width Modulation (PWM) are used to modulate and encode, respectively, the preamble signal. The receiver incorporates a decoder to enable serial peripheral interface (SPI). WUR was also comprehensively tested for power consumption and robustness to RF interference from wireless devices commonly found in the vicinity of persons utilising WBAN technology. Our results and comparative evaluation demonstrate that the achieved listening power of 270nW for the Wake Up Receiver is significantly lower power consumption than for the other state-of-the-art. The proposed preamble detection scheme can significantly reduce false wake ups due to other wireless devices in a WBAN. Additionally, SPI significantly reduces the overall power consumption for packet reception and decoding.
Peter Kazanzides - One of the best experts on this subject based on the ideXlab platform.
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a wide speed range and high precision position and velocity measurements chip with serial peripheral interface
Integration, 2008Co-Authors: Ndubuisi Ekekwe, Ralph Etiennecummings, Peter KazanzidesAbstract:This paper presents a VLSI chip, with a serial peripheral interface (SPI), that obtains position and velocity measurements from incremental optical encoder feedback. It combines period and frequency countings to provide velocity estimates with good dynamic behavior over a wide speed range (10Hz-50MHz). By sensing the velocity of the encoder, it reserves the computational power of a supervisory microcontroller, and subsequently enhances the performance of the total system. It is compact with lower power consumption when compared to traditional FPGA implementations. Although designed for use in the control unit of a medical robot with 34-axes and tight space and power constraints, it can be readily used in other applications. It is implemented in a 2P3M 0.5@mm CMOS process and consumes 4.82mW power with active area of 0.45mm^2.
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Incremental Encoder Based Position and Velocity Measurements VLSI Chip with serial peripheral interface
2007 IEEE International Symposium on Circuits and Systems, 2007Co-Authors: Ndubuisi Ekekwe, Ralph Etienne-cummings, Peter KazanzidesAbstract:This paper presents an incremental optical encoder based position and velocity measurements VLSI chip with a serial peripheral interface (SPI). It combines period and frequency countings to provide velocity estimates with good dynamic behavior over a wide speed range. By sensing the velocity of the encoder, it reserves the computational power of a supervisory microcontroller, and subsequently enhances the performance of the total system. Furthermore, multiple copies of the velocity encoder can access the behavior of multiple motors in parallel. It is compact with lower power consumption compared to traditional FPGA implementations. Although designed for use in the control unit of a medical robot with 34-axes and tight space and power constraints, it can be readily used in other applications. It is implemented in a 2P3M 0.5μm CMOS process and consumes 4.82mW power with active area of 0.45mm2.
T Evis - One of the best experts on this subject based on the ideXlab platform.
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real time emulation of a high speed microturbine permanent magnet synchronous generator using multiplatform hardware in the loop realization
IEEE Transactions on Industrial Electronics, 2014Co-Authors: Akbar Hasanzadeh, Chris S Edringto, Nicholas Stroupe, T EvisAbstract:This paper demonstrates a multiplatform hardware-in-the-loop (HIL) approach to observe the operation of a high-speed permanent-magnet synchronous generator coupled with a microturbine in an all-electric-ship power system. The mathematical model of the gas turbine and the dynamic equations of the high-speed generator are implemented in real time on a field-programmable gate array (FPGA). This real-time simulation interfaces with hardware via a serial peripheral interface to a supervisory digital signal processor (DSP) of a three-phase voltage source inverter. The inverter output load is virtually emulated in the FPGA using received hardware measurements from the DSP. A user input interface is introduced using dSPACE on a personal computer to acquire data and adjust the speed reference of the generator system through a serial communication interface to the DSP. The real-time simulation and HIL experimental setup are validated in a scaled medium voltage dc ship power system.
