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arXiv 2020年

作者： Hu, Shuyan Wu, Qingqing Wang, Xin State Key Laboratory of ASIC and System School of Information Science and Technology Fudan University Shanghai200433 China Department of Electrical and Computer Engineering National University of Singapore Singapore119077 Singapore State Key Laboratory of ASIC and System Shanghai Institute for Advanced Communication and Data Science Department of Communication Science and Engineering Fudan University Shanghai200433 China

Thanks to their quick placement and high flexibility, unmanned aerial vehicles (UAVs) can be very useful in the current and future wireless communication systems. With a growing number of smart devices and infrastructure-free communication networks, it is necessary to legitimately monitor these networks to prevent crimes. In this paper, a novel framework is proposed to exploit the flexibility of the UAV for legitimate monitoring via joint trajectory design and energy management. The system includes a suspicious transmission link with a terrestrial transmitter and a terrestrial receiver, and a UAV to monitor the suspicious link. The UAV can adjust its positions and send jamming signal to the suspicious receiver to ensure successful eavesdropping. Based on this model, we first develop an approach to minimize the overall jamming energy consumption of the UAV. Building on a judicious (re)formulation, an alternating optimization approach is developed to compute a locally optimal solution in polynomial time. Furthermore, we model and include the propulsion power to minimize the overall energy consumption of the UAV. Leveraging the successive convex approximation method, an effective iterative approach is developed to find a feasible solution fulfilling the Karush-Kuhn-Tucker (KKT) conditions. Extensive numerical results are provided to verify the merits of the proposed schemes. Copyright © 2020, The Authors. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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A Comparator-Reused Dynamic-Amplifier for Noise-Shaping SAR ADC

A Comparator-Reused Dynamic-Amplifier for Noise-Shaping SAR ...

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International Conference on asic

作者： Longheng Luo Xingchen Shen Jianguo Diao Fan Ye Junyan Ren State Key Laboratory of ASIC and System School of Microelectronics Fudan University Shanghai China

This paper presents a high-speed high-gain dynamic amplifier which can also be reused as a comparator for a noise-shaping (NS) successive-approximation-register (SAR) analog-to-digital converter (ADC). By modifying a strong-arm latch, this dynamic amplifier can achieve a high speed of comparison and dynamic amplification, which is crucial to a high-performance NS SAR ADC. The prototype is designed in 28 nm CMOS process. It realizes the comparison speed of 0.2 ns and 8 times dynamic amplification in 0.9 ns with 0.6 pF single-end capacitance load. Meanwhile, the noise floor is 11 nV/√Hz and the THD is -76.5 dB with the power consumption of 56 μW averagely.

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A Hardware-efficient Accelerator for Encoding Stage of Text-to-speech Synthesis

A Hardware-efficient Accelerator for Encoding Stage of Text-...

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International Conference on asic

作者： Riyong Zheng Chenghao Wang Jun Han Xiaoyang Zeng School of Microelectronics Fudan University Shanghai China State Key Laboratory of ASIC and System

Text-to-speech synthesis is a promising human- computer interaction technology. Google launched the TTS model Tacotron, which can directly convert raw text to speech. The encoder module is one of the most important components of Tacotron. It extracts context features in the text and generate time series. The encoder module contains Recurrent Neural Network (RNN) and Convolutional Neural Network (CNN). There are few hardware accelerators to support these hybrid algorithm and the parallel architecture calculations. To this end, we designed a hardware-efficient accelerator to accomplish the complex computing tasks. We quantify the network model to reduce hardware overhead while using parallel hardware structures to increase operating speed. The encoder accelerator can process 2903 bits data per second with 3.627W. Compared to Titan X, the energy efficiency ratio is 71 times higher.

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Dual-Loop-Controlled AC-Coupling 100MHz Bandwidth Envelope Tracking Modulator for 5G RF Power Amplifier

Dual-Loop-Controlled AC-Coupling 100MHz Bandwidth Envelope T...

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International Conference on asic

作者： Fuqiang Liu Mingfeng Chen Heng Ma Zhiliang Hong State Key Laboratory of ASIC and System School of Microelectronics Fudan University Shanghai China

A dual-loop-controlled ac-coupling envelope tracking modulator (ETM) with 100MHz bandwidth is presented. Ac-coupling voltage Voff_AC is stabilized by voltage sensor and the control pulse width can be automatically widened (AWPW), meanwhile an auxiliary automatically widen pulse width (AAWPW) technique is proposed to control ripple voltage. AWPW and AAWPW can significantly reduce switching loss by filtering high switching frequency, leading to overall efficiency improvement. The maximum output power exceeds 2W with a constant load 6Ω//600pF, maximum ac amplitude is 3V, peak efficiency is 85%.

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A digitalized RRAM-based Spiking Neuron Network system with 3-bit weight and unsupervised online learning scheme

A digitalized RRAM-based Spiking Neuron Network system with ...

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International Conference on asic

作者： Danqing Wu Shilin Yan Haodi Tang Yu Wang Jiayun Feng Xianwu Hu Jiaxin Cao Yufeng Xie State Key Laboratory of ASIC and System School of Microelectronics Fudan University Shanghai China

Resistive-switching Random Access Memory (RRAM) has emerged as a promising candidate for the artificial synaptic in neuromorphic computation circuits due to its similar electronic characteristics with the synaptic and features such as high integration density, non-volatile retention and supporting matrix-vector multiplication. In this paper, a digitalized RRAM-based fully-connected Spiking Neuron Network (SNN) system with 3-bit weight and unsupervised online learning scheme is proposed. It consists of 64 pre-neurons and 10 post-neurons, all the neurons are realized by digital circuits for low area overhead, low power consumption and high accuracy. An unsupervised online learning scheme based on binary STDP protocol is applied to train the synaptic weights. Experiments show that the system can be used to recognize the learned ten handwritten digits efficiently.

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Structural disorder by octahedral tilting in inorganic halide perovskites: New insight with Bayesian optimization

arXiv

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arXiv 2023年

作者： Li, Jingrui Pan, Fang Zhang, Guo-Xu Liu, Zenghui Dong, Hua Wang, Dawei Jiang, Zhuangde Ren, Wei Ye, Zuo-Guang Todorović, Milica Rinke, Patrick Electronic Materials Research Laboratory Key Laboratory of the Ministry of Education International Center for Dielectric Research School of Electronic Science and Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technology Xi’an Jiaotong University Xi’an710049 China MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage School of Chemistry and Chemical Engineering Harbin Institute of Technology Harbin150001 China Key Laboratory for Physical Electronics and Devices of the Ministry of Education Shaanxi Key Lab of Information Photonic Technique School of Electronic Science and Engineering Xi’an Jiaotong University Xi’an710049 China School of Microelectronics Key Lab of Micro-Nano Electronics and System Integration of Xi’an City Xi’an Jiaotong University Xi’an710049 China State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technology Xi’an Jiaotong University Xi’an710049 China Department of Chemistry and 4D LABS Simon Fraser University British Columbia BurnabyV5A 1S6 Canada Department of Mechanical and Materials Engineering University of Turku TurkuFI-20014 Finland Department of Applied Physics Aalto University AALTO P.O.Box 11100 FI-00076 Finland

Structural disorder is common in metal-halide perovskites and important for understanding the functional properties of these materials. First-principles methods can address structure variation on the atomistic scale, but they are often limited by the lack of structure-sampling schemes required to characterize the disorder. In this work, structural disorder in the benchmark inorganic halide perovskites CsPbI3 and CsPbBr3 is computationally studied in terms of the three octahedral-tilting angles. The consequent variation in energetics and properties are described by three-dimensional potential-energy surfaces (PESs) and property landscapes, delivered by Bayesian Optimization Structure Search method with integrated density-functional-theory (DFT) calculations. The rapid convergence of the PES with about 200 DFT data points in three-dimensional searches demonstrates the power of active learning and strategic sampling with Bayesian optimization. Further analysis indicates that disorder grows with increasing temperature, and reveals that the materials band gap at finite temperatures is a statistical mean over disordered structures. © 2023, CC BY.

关键词： Lead compounds

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An Efficient Accelerator for Sparse Convolutional Neural Networks

An Efficient Accelerator for Sparse Convolutional Neural Net...

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International Conference on asic

作者： Weijie You Chang Wu State Key Laboratory of ASIC and System School of Microelectronics Fudan University Shanghai China

In this paper, we propose a sparse convolutional neural network accelerator design on FPGAs. Similar to the DNNWEAVER architecture, our accelerator uses two-level hierarchy: multiple Processing Units (PUs) and each PU comprises a set of Processing Elements (PEs). To address the irregularity of sparse neural networks, we introduce a novel sparse dataflow for sparse CNN computing as well as weight merging method to balance the computation load on different PUs for better overall efficiency. We implement our design with 32 PUs and 14 PEs in each PU. When compared with DNNWEAVER on VGG16 network, our accelerator achieves 3.49× speedup and 3.05× energy saving on average when running at 150MHz on a Xilinx ZC706 board and reaches the speed of 400 GOPS.

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An Artificial Neutral Network Chip Based on Two-Dimensional Semiconductor

Research Square

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Research Square 2020年

作者： Ma, Shunli Wu, Tianxiang Chen, Xinyu Wang, Yin Tang, Hongwei Yao, Yuting Wang, Yan Deng, Jianan Wan, Jing Sun, Zhengzong Xu, Zihan Riaud, Antoine Wu, Chenjian Chai, Yang Zhou, Peng Ren, Junyan Bao, Wenzhong Zhang, David Wei State Key Laboratory of ASIC and System School of Microelectronics Fudan University Shanghai200433 China State Key Laboratory of ASIC and System School of Information Science and Technology Fudan University Shanghai200433 China Shenzhen Sixcarbon Technology 188 Jiangshi Road Shenzhen518106 China School of Electronic and Information Engineering Soochow University Suzhou China Department of Applied Physics The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong

Two-dimensional semiconductors can be used to build integrated circuits for running artificial neural networks (ANN) with higher energy efficiency. The implementation of an ANN with 2D semiconductors has been held back by the large-scale and high-quality transistors required for running machine learning algorithms. Here we demonstrate the first functional MoS2 analog ANN integrated circuit, including memory, multiply-and-accumulate (MAC), activation function, and weight update circuits. The ANN integrated circuit is realized through 818 field effect transistors (FETs) with wafer-scale and high-homogeneity MoS2 film. The large current on/off ratio and output linearity of these MoS2 FETs allow the realization of convolutional and activation function circuits with a few number of transistors. This ANN can be used for recognizing tactile digit, showing the recognition rate exceeding 97%. Our work demonstrates wafer-scale processing of a 2D semiconductor for building integrated circuits with the functions of AI computation. © 2020, CC BY.

关键词： Timing circuits

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Separation of particles and bio-samples by tilted-angle standing surface acoustic waves: A theoretical analysis

arXiv

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arXiv 2019年

作者： Wang, Wei Riaud, Antoine ASIC and System State Key Laboratory School of Microelectronics Fudan University Shanghai200433 China

Separation of particles and bio-samples by the standing surface acoustic wave (SSAW) has attracted considerable interest in many biological protocols. In this work, we thoroughly analyze the behavior of particles in an SSAW field that is introduced at a random angle to the flow direction, numerically and analytically. An explicit transition threshold is deduced by the acoustic to drag force ratio between the drift mode and the locked mode, while the trajectories of particles in both of these modes are demonstrated in an analytical way. The deviation in the drift mode is revealed fundamentally nonlinear, whose slope is proportional to the sixth power of the particle radius, the fourth power of the acoustic pressure, the square of the acoustic contrast factor, and reciprocal of the square of the flow velocity. Our analytical formula shows a good agreement with numerical calculations and experimental data even in the transition regime. It provides a basis for understanding how particles and bio-samples behave in an SSAW field, and an approach to effectively evaluate the design of the acoustophoretic system. Copyright © 2019, The Authors. All rights reserved.

关键词： Acoustic waves

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Mos2 transistor gated by PMMA-based electrolyte for sub-1 V operation

Mos2 transistor gated by PMMA-based electrolyte for sub-1 V ...

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International Conference on asic

作者： Hongwei Tang Fuyou Liao Xinzhi Zhang Jianan Deng Jing Wan Wenzhong Bao State Key Laboratory of ASIC and System School of Microelectronics Fudan University Shanghai China State Key Laboratory of ASIC and System School of Information Science and Engineering Fudan University Shanghai China

The fabrication of high-performance MoS 2 transistor with a reliable gate dielectric layer remains an obstacle due to the lack of dangling bonds for dielectric deposition. Here, we demonstrate the employment of PMMA-based electrolyte film as the gate dielectric for Mos2 transistors. The electrolyte can be utilized to form high quality and uniform thin film by spin-coating method at room temperature. Based on this PMMA-based electrolyte film, top-gated Mos2 field effect transistors (FETs) are fabricated and exhibit exceptional device performance. The ultra-high capacitance of the electrolyte, resulting from the formation of an electric double layer (EDL), yields a current on/off ratio about 10 5 and a steep subthreshold swing (90 mV/dec) within a low supply voltage (1 V). Furthermore, we investigate the dynamic response of a Mos2 inverter with a switching speed over 100 Hz. This result provides the possibility for realizing low power logic circuit and nano-electronics.

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