Browsing by Author "Zhang, Xin"

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    Fully Distributed Control and Its Analog IC Design For Scalable Multiphase Voltage Regulators
    Zhang, Xin (Virginia Tech, 2005-11-01)
    Modern microprocessors require low supply voltage (about 1V), but very high current (maximum current is 300A in servers, 100A in desktop PCs and 70A in notebook PCs), and tighter voltage regulation. However, the size of a CPU Voltage Regulator (VR) needs to be reduced. To achieve much higher power density with decent efficiency in VR design is a major challenge. Moreover, the CPU current rating can vary from 40A to 300A for different kinds of computers, and CPU power supply specifications change quickly even for the same type of computers. Since the maximum power rating of one channel converter is limited, the VR channel number may vary over a large range to meet VR specifications. Traditionally, VR design with different channel numbers needs different types of VR controllers. To reduce the developing cost of different control ICs, and to maximize the market share of one design, scalable phase design based on the same type of IC is a new trend in VR design. To achieve higher power density and at the same time to achieve scalable phase design, the concept of Monolithic Voltage Regulator Channel (MVRC) is introduced in this dissertation. MVRC is a power IC with one channel converter's power MOSFETs, drivers and control circuitries monolithically integrated based on lateral device technology and working at high frequency. It can be used alone to supply a POL (Point of Load). And without the need for a separate master controller, multiple MVRC chips can be paralleled together to supply a higher current load such as a CPU. To make MVRC a reality, the key is to develop a fully distributed control scheme and its associated analog IC circuitry, so that it can provide control functions required by microprocessors and the performance must be equal or better than a traditional a centralized VRM controller. These functions includes: multiphase interleaving, Adaptive Voltage Position (AVP) and current sharing. To achieve interleaving, this dissertation introduces a novel distributed interleaving scheme that can easily achieve scalable phase interleaving without channel number limitation. Each channel's interleaving circuitry can be monolithically integrated without any external components. The proposed scheme is verified by a hardware prototype. The key building block is a self-adjusting saw-tooth generator, which can produce accurate saw-tooth waveforms without trimming. The interleaving circuit for each channel has two self-adjusting saw-tooth generators. One behaves as a Phase Lock Loop to produce accurate phase delay, and the other produces carrier signals. To achieve Adaptive Voltage Position and current sharing, a novel distributed control scheme adopting the active droop control for each channel is introduced. Verified by hardware testing and transient simulations, the proposed distributed AVP and current sharing control scheme meets the requirements of Intel's guidelines for today and future's VR design. Monte Carlo simulation and statistics analysis show that the proposed scheme has a better AVP tolerance band than the traditional centralized control if the same current sensing scheme is used, and its current sharing performance is as good as the traditional control. It is critical for the current sensing to achieve a tight AVP regulation window and good current sharing in both the traditional centralized control scheme and the proposed distributed control scheme. Inductor current sensing is widely adopted because of the acceptable accuracy and no extra power loss. However, the Signal-to-Noise Ratio (SNR) of the traditional inductor current sensing scheme may become too small to be acceptable in high frequency VR design where small inductor with small DCR is often adopted. To improve the SNR, a novel current sensing scheme with an accurate V/I converter is proposed. To reduce the complexity of building an accurate V/I converter with traditional Opamps, an accurate monolithic transconductance (Gm) amplifier with a large dynamic range is developed. The proposed Gm amplifier can achieve accurate V/I conversion without trimming. To obtain further verification, above proposed control schemes are monolithically integrated in a dual channel synchronous BUCK controller using TSMC BiCMOS 0.5um process. Testing results show that all the proposed novel analog circuits work as expected. System testing results show good interleaving, current sharing and AVP performance. The silicon size of each channel is 1800×1000um². With proposed current sensing, interleaving, AVP and current sharing, as well as their associated analog IC implementations, the technical barriers to develop a MVRC are overcome. MVRC has the potential to become a generic power IC solution for today and future POL and CPU power management. The proposed distributed interleaving, AVP and current sharing schemes can also be used in any cellular converter system. The proposed analog building blocks like the self-adjusting saw-tooth generator and the accurate transconductance amplifier can be used as basic building blocks in any DC-DC controller.
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    Multiple-image encryption by compressive holography
    Di, Hong; Zheng, Kangfeng; Zhang, Xin; Lam, Edmund Y.; Kim, Taegeun; Kim, You Seok; Poon, Ting-Chung; Zhou, C. H. (Optical Society of America, 2012-03-01)
    We present multiple-image encryption (MIE) based on compressive holography. In the encryption, a holographic technique is employed to record multiple images simultaneously to form a hologram. The two-dimensional Fourier data of the hologram are then compressed by nonuniform sampling, which gives rise to compressive encryption. Decryption of individual images is cast into a minimization problem. The minimization retains the sparsity of recovered images in the wavelet basis. Meanwhile, total variation regularization is used to preserve edges in the reconstruction. Experiments have been conducted using holograms acquired by optical scanning holography as an example. Computer simulations of multiple images are subsequently demonstrated to illustrate the feasibility of the MIE scheme. (C) 2012 Optical Society of America
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    RETICULON-LIKE PROTEIN B2 is a proviral factor co-opted for the biogenesis of viral replication organelles in plants
    Zhang, Qianshen; Wen, Zhiyan; Zhang, Xin; She, Jiajie; Wang, Xiaoling; Gao, Zongyu; Wang, Ruiqi; Zhao, Xiaofei; Su, Zhen; Li, Zhen; Li, Dawei; Wang, Xiaofeng; Zhang, Yongliang (Oxford University Press, 2023-05)
    Endomembrane remodeling to form a viral replication complex (VRC) is crucial for a virus to establish infection in a host. Although the composition and function of VRCs have been intensively studied, host factors involved in the assembly of VRCs for plant RNA viruses have not been fully explored. TurboID-based proximity labeling (PL) has emerged as a robust tool for probing molecular interactions in planta. However, few studies have employed the TurboID-based PL technique for investigating plant virus replication. Here, we used Beet black scorch virus (BBSV), an endoplasmic reticulum (ER)-replicating virus, as a model and systematically investigated the composition of BBSV VRCs in Nicotiana benthamiana by fusing the TurboID enzyme to viral replication protein p23. Among the 185 identified p23-proximal proteins, the reticulon family of proteins showed high reproducibility in the mass spectrometry data sets. We focused on RETICULON-LIKE PROTEIN B2 (RTNLB2) and demonstrated its proviral functions in BBSV replication. We showed that RTNLB2 binds to p23, induces ER membrane curvature, and constricts ER tubules to facilitate the assembly of BBSV VRCs. Our comprehensive proximal interactome analysis of BBSV VRCs provides a resource for understanding plant viral replication and offers additional insights into the formation of membrane scaffolds for viral RNA synthesis. TurboID-based proximity labeling reveals the viral replication complex structure of a plant virus, unveiling a proviral function of RETICULON-LIKE PROTEIN B2 in viral replication complex formation.
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    Solving inverse problems for optical scanning holography using an adaptively iterative shrinkage-thresholding algorithm
    Zhao, F. J.; Qu, X. C.; Zhang, Xin; Poon, Ting-Chung; Kim, Taegeun; Kim, Y. S.; Liang, J. M. (Optical Society of America, 2012-03-01)
    Optical scanning holography (OSH) records a three-dimensional object into a two-dimensional hologram through two-dimensional optical scanning. The recovery of sectional images from the hologram, termed as an inverse problem, has been previously implemented by conventional methods as well as the use of l(2) norm. However, conventional methods require time consuming processing of section by section without eliminating the defocus noise and the l(2) norm method often suffers from the drawback of over-smoothing. Moreover, these methods require the whole hologram data (real and imaginary parts) to eliminate the twin image noise, whose computation complexity and the sophisticated post-processing are far from desirable. To handle these difficulties, an adaptively iterative shrinkage-thresholding (AIST) algorithm, characterized by fast computation and adaptive iteration, is proposed in this paper. Using only a half hologram data, the proposed method obtained satisfied on-axis reconstruction free of twin image noise. The experiments of multi-planar reconstruction and improvement of depth of focus further validate the feasibility and flexibility of our proposed AIST algorithm. (c) 2012 Optical Society of America
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    Three-Dimensional Microscopy And Sectional Image Reconstruction Using Optical Scanning Holography
    Lam, Edmund Y.; Zhang, Xin; Vo, Huy; Poon, Ting-Chung; Indebetouw, Guy J. (Optical Society of America, 2009-08-01)
    Fast acquisition and high axial resolution are two primary requirements for three-dimensional microscopy. However, they are sometimes conflicting: imaging modalities such as confocal imaging can deliver superior resolution at the expense of sequential acquisition at different axial planes, which is a time-consuming process. Optical scanning holography (OSH) promises to deliver a good trade-off between these two goals. With just a single scan, we can capture the entire three-dimensional volume in a digital hologram; the data can then be processed to obtain the individual sections. An accurate modeling of the imaging system is key to devising an appropriate image reconstruction algorithm, especially for real data where random noise and other imaging imperfections must be taken into account. In this paper we demonstrate sectional image reconstruction by applying an inverse imaging sectioning technique to experimental OSH data of biological specimens and visualizing the sections using the OSA Interactive Science Publishing software. (C) 2009 Optical Society of America