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Träfflista för sökning "WFRF:(Hong Y.) ;mspu:(conferencepaper)"

Sökning: WFRF:(Hong Y.) > Konferensbidrag

  • Resultat 1-10 av 34
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1.
  • Fernandez, J, et al. (författare)
  • EMMA: The European Mouse Mutant Archive
  • 2013
  • Ingår i: TRANSGENIC RESEARCH. - 0962-8819. ; 22:1, s. 224-224
  • Konferensbidrag (övrigt vetenskapligt/konstnärligt)
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3.
  • Hong, Xuezhi, et al. (författare)
  • AWG based passive optical interconnects for datacenters
  • 2014
  • Ingår i: Optics InfoBase Conference Papers. - : OSA - The Optical Society. - 9781943580149
  • Konferensbidrag (refereegranskat)abstract
    • We propose a cascaded arrayed waveguide grating based passive optical interconnect scheme for datacenters, which outperforms various existing architectures in terms of scalability and cabling complexity. Proof-of-concept experiments are carried out.
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4.
  • Hong, Y., et al. (författare)
  • Flex-grid all-optical interconnect supporting transparent multi-hop connection in data centers
  • 2015
  • Konferensbidrag (refereegranskat)abstract
    • In this paper a novel flex-grid all-optical interconnect scheme is proposed for data center, where a transparent multi-hop connection can be realized by using optical bypass rather than going through optical-electric-optical conversions, enhancing energy efficiency for inter-rack communications. Moreover, elastic spectrum allocation is adopted in the proposed scheme to increase the resource utilization and scalability. Transmission performance evaluation has been carried out to verify the feasibility of the proposed scheme.
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5.
  • Hu, R., et al. (författare)
  • Biofeedback neuromuscular electrical stimulation front-end for dysphagia treatment
  • 2014
  • Ingår i: IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings. - : IEEE Press. - 9781479923465 ; , s. 612-615
  • Konferensbidrag (refereegranskat)abstract
    • A dedicated front-end for biofeedback neuromuscular electrical stimulation (NESM) system is proposed. For controllable dysphagia treatment, the integrated circuit (IC) provides a stimulator front-end with programmable stimulation parameters (2μA-1mA current amplitude, DC-2KHz frequency, and variable duty cycle) and an electromyogram/impedance (EMG/ETI) readout front-end with programmable gain and bandwidth (42-80dB, 0.1Hz-1.2KHz) for biofeedback. Area-efficient, low-power but high precision current controlling is achieved by inducing the sigma-delta modulator technique in the stimulation channel. The measured impedance and EMG signal are used to determine the stimulation parameters, enabling a closed loop optimized treatment. The proposed front-end is fabricated in a 0.18 μm standard CMOS process technology and dissipates a peak power of 2.3 mW at the supply voltage of 1.8 V. Measurement results on a live person are also provided to validate the system's effectiveness.
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6.
  • Qi, Z., et al. (författare)
  • Application of nonlinear principal component analysis technique to nuclear power plants
  • 2019
  • Ingår i: International Conference on Nuclear Engineering, Proceedings, ICONE. - : ASME Press. - 9784888982566
  • Konferensbidrag (refereegranskat)abstract
    • Traditionally, manual calibration of sensors is required and performed during each refueling outage. If the traditional time-directed calibration is replaced by an online monitoring technique, the maintenance cost will be significantly reduced since only the abnormal sensors identified in on-line monitoring need to be re-calibrated or replaced off-line. The Nonlinear Principal Component Analysis (NLPCA), such as Auto-Associative Neural Network (AANN) and Auto-Associative Kernel Principal Component Analysis (AAKPCA), can describe the nonlinear correlation between sensors such as power, temperature, pressure and flowrate. In this paper, AANN and AAKPCA model are tested by simulated redundant data and Tennessee-Eastman process data. The results show that both of them have a high ability of prediction and a low sensitivity. Therefore, they are can be used in on-line monitoring.
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7.
  • Qi, Z., et al. (författare)
  • Sensor fault detection in nuclear power plant using auto-associative neural network
  • 2019
  • Ingår i: International Conference on Nuclear Engineering, Proceedings, ICONE. - : American Society of Mechanical Engineers (ASME). - 9784888983051
  • Konferensbidrag (refereegranskat)abstract
    • Fault diagnosis system usually includes a prediction module and a diagnosis module. The prediction module is supposed to predict sensor values based on sensor observations, and the diagnosis module is used to determine whether a sensor has degradation or failure by comparing the difference between sensor observations and predictions. Auto-Associative Neural Network (AANN) is a widely applied data-driven prediction method consisting of input layer, mapping layer, bottleneck layer, de-mapping layer and output layer. AANN compresses the information contained in the input data (i.e. sensor observations) into bottleneck layer through mapping layer, and then reconstructs the sensor values at output layer based on the extracted nonlinear features stored in bottleneck layer through de-mapping layer. This paper focuses on the feasibility study of AANN model in fault diagnosis for nuclear power plants. The performance of AANN model was studied by using simulation data, and the AANN model was optimized by combining prejudgment and secondary prediction. The results show that the optimized AANN model can improve the performance comparing to original AANN model, and can be applied to the fault diagnosis for nuclear power plant sensors.
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9.
  • Asako, Y., et al. (författare)
  • Mach Number on Outlet Plane of a Straight Micro-Tube
  • 2014
  • Ingår i: Proceedings of the ASME 2013 International Mechanical Engineering Congress and Exposition. Volume 7A: Fluids Engineering Systems and Technologies. - 9780791856314 ; 7A, s. 07-020
  • Konferensbidrag (refereegranskat)abstract
    • The Mach number and pressure on the outlet plane of a straight micro-tube were investigated numerically for both laminar and turbulent flow cases. The numerical methodology is based on the Arbitrary-Lagrangian-Eulerian (ALE) method. The LB1 turbulence model was used for the turbulent flow case. The compressible momentum and energy equations with the assumption of the ideal gas were solved. The computational domain is extended to the downstream region from the micro-tube outlet. The back pressure was given to the outside of the downstream region. The computations were performed for a tube whose diameter ranges from 50 to 500 gm. The average Mach number on the outlet plane of the fully under-expanded flow depends on the tube diameter and ranges from 1.16 to 1.25. The flow characteristics of the under-expanded gas flow in a straight micro-tube were revealed.
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10.
  • Baek, I. H., et al. (författare)
  • Passive mode-locking of a Ti: Sapphire laser using low-dimensional carbon nanostructures
  • 2011
  • Ingår i: Int. Quantum Electron. Conf., IQEC Conf. Lasers Electro-Opt., CLEO Pac. Rim. Incorporating Australas. Conf. Opt., Lasers Spec. - 9780977565771 ; , s. 1154-1155
  • Konferensbidrag (refereegranskat)abstract
    • We report on passive mode-locking of a Ti:sapphire laser employing novel saturable absorbers based on low-dimensional carbon nanostructures such as single-walled carbon nanotubes and monolayer graphene. The mode-locked operation with both saturable absorbers were characterized and compared to pure Kerr-lens mode-locking.
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  • Resultat 1-10 av 34

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