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A reconfigurable 4-channel 32Gb/s NRZ, or 2×25GBaud/s PAM4 Si-Photonic transmitter is designed entirely in CMOS, consisting of a CMOS driver wire-bonded to MZ modulators. Measurement results demonstrate optical eye diagrams with > 5dB extinction ratio and <11pJ/bit power efficiency.
This paper presents a 1–10 GHz low-noise down-convert mixer RFIC suitable for wideband receivers. A switched transconductor mixing core is adopted to reduce noise at high frequencies. By adding a series inductor to the RF transconductor, a flat 4–5 dB noise figure (NF) and a high gain of 26.5 dB can be achieved over a broad bandwidth out to 10 GHz. A CMOS output amplifier is also integrated on-chip,...
Over the past two decades, great efforts have been made in the study of routing and manipulating light waves at the subwavelength scale with open nanostructures such as photonic crystal waveguides (PCWs), surface plasmon waveguides (SPWs), and coupled resonator optical waveguides (CROWs), for their great potential in many photonic technologies such as highly integrated photonic signal-processing systems...
Memristor, as the fourth circuit element which is both a non-linear and a memory device, has been receiving extensive attention in the past years. Recently, the memristive phenomena observed on single layer MoS2 has attracted scientists attention to the realization of memristor on novel two-dimensional thin film materials. This article presents a novel two-terminal memory device based thin film two-dimensional...
Biocomfortable polyethylenimine (PEI) coated Fe3O4 nanoparticles (NPs) have been successfully fabricated for their magnetic hyperthermia performance. After coating with PEI, the sample reveals a tiptop performance of magnetic property and an enhanced biocompatibility. Compared with Fe3O4 NPs, PEI-coated Fe3O4 NPs do not induce notable cell cytotoxic effect at their higher concentration, which indicates...
This paper preliminarily discusses how to develop software towards exascale computing. Two typical development models are studied, one is “all-round contract” which means all the functional modules are implemented in a single framework, and the other is “co-design” which using the existing packages to realize functional modules. As a widely used CFD software whose numerical solving module is implemented...
This paper studies two typical ways to use multigrid methods in CFD simulations. One is implementing multigrid methods in CFD softwares start from scratch, and the other is calling multigrid methods from existing libraries. The experimental results on two benchmark cases, the lid-driven cavity flow and the flow around a cylinder, show that the solving performance and parallel scalability of calling...
Mesh partitioning has a significant influence on the efficiency of parallel computational fluid dynamics (CFD). This paper considers the most widely-used preconditioned conjugated gradient (PCG) methods for solving the linear systems in parallel since it is the core and most time-consuming part in CFD. Based on the analysis of how mesh partitioning impacts the solution time of parallel PCG, we propose...
This paper focuses on mesh-partitioning metrics in large-scale parallel computational fluid dynamics (CFD) simulations. Mesh partitioning has a significant influence on the efficiency of parallel preconditioned conjugated gradient (PCG) solving procedure, which is the most representative and timeconsuming part in parallel CFD. As the efficiency of parallel PCG depends on load balancing, communication...
In this paper, by installing a filter link in the converter station of a multi terminal direct current (MTDC) system and analyzing its impedance characteristics output, it illustrates that the current measured by the shunt on the HVDC line would be different when fault occurs on the line or not. The filter is made of a smoothing reactor and HVDC filters. According to the current difference, new protection...
We propose a deep learning approach for finding dense correspondences between 3D scans of people. Our method requires only partial geometric information in the form of two depth maps or partial reconstructed surfaces, works for humans in arbitrary poses and wearing any clothing, does not require the two people to be scanned from similar view-points, and runs in real time. We use a deep convolutional...
Being as one of important means of enhancing production efficiency and reducing production cost, intelligent failure detection system is of great significance. However, there are shortcomings in the existing expert system such as single information flow (lack of interaction) between components, denial of dynamic allocation of workloads which defy system guarantee of real-time quality and reliability...
Spoofing that emulates authentic signals to coerce target receivers into false navigation solutions is a severe threat to many applications based on Global Positioning System (GPS). In order to forge a reasonable navigation solution, a spoofer generally has to mimic signals of several GPS satellites simultaneously. In view of the fact that GPS signals originated from a single transmitter would essentially...
The discrete topology optimization method is widely used because of its high degree of freedom and high problem-solving efficiency. However, one of its main drawbacks is that the output graphic is constituted of a 0–1 matrix leading to rough boundaries and implicit structures, which are difficult to be manufactured. Aiming to transform the implicit rough boundary into the explicit smooth boundary...
Recent years, solar energy and wind energy, the most common new energy sources, have becoming the most important ways of distributed generations. FREEDM system is an Energy Internet model which is proposed by Professor Alex Q. Huang from North Carolina State University and solid state transformer (SST) is the core of it. Based on the concepts of photovoltaic (PV) power generation, wind power generation,...
The method of Brownian configuration fields (BCF) is a promising multi-scale approach for the simulationof viscoelastic fluids, however, it is a computationally expensive method, which restricts its application in complex scenarios. Therefore, it is of great importance to optimize the parallel implementation in order to improve computational efficiency. In this paper we propose a hybrid decomposition...
This work presents a power amplifier for automotive radar applications based on the differential cascode topology. The power amplifier is manufactured in a 130 nm SiGe BiCMOS technology. At 77 GHz, the peak power added efficiency is 16 % at an output power of 17 dBm. Furthermore, the linear gain is 14.2 dB and the maximum saturated output power reaches 17.5 dBm. The chip consumes an area of 0.29 mm2...
In this paper, we utilize the minimum mean squared error (MMSE) prediction to compensate imperfect channel reciprocity in achieving physical-layer confidentiality enhancement, particularly for our recently developed secure OFDM system with dynamic subcarrier coordinate interleaving [1]. In the proposed method, the transmitter first estimates the correlation coefficient between the forward and backward...
Channel-width adaptation can significantly improve the connectivity, capacity and reduce the power consumption in wireless networks. The OFDMA-based channel-width adaptation based on traffic demand has been studied in wireless networks with sufficient spectral resources. However, the traffic demand may not be fully satisfied in resource-limited scenarios. In this paper, we study the channel-width...
Public key based authentication is not amenable for implementation in IoT environments due to its high complexity and resource requirements. In this paper, we propose a low-complexity scalable authentication framework suitable for low-power IoT environments and applications that uses physical layer information obtained from prior legitimate communications between the two parties as the source of shared...
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