Xiaokun Yang

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Simulation speed and a lack of test approaches are the main difficulties in the mixed-signal verification of a complex System-on-a-Chip (SoC). In this paper, an equivalent high-level Radio Frequency (RF) model is created by the SystemVerilog language and integrated into a mixed-signal SoC. Such a model can be executed on a digital simulator, which is(More)
Pedestrian dead reckoning (PDR) is a promising complementary technique to balance the requirements on both accuracy and costs in outdoor and indoor positioning systems. In this paper, we propose a unified framework to comprehensively tackle the three sub problems involved in PDR, including step detection and counting, heading estimation and step length(More)
Biomass-derived ethyl lactate is a green solvent with a growing market as the replacement for petroleum-derived toxic organic solvents. Here we report, for the first time, the production of ethyl lactate directly from cellulose with the mesoporous Zr-SBA-15 silicate catalyst in a supercritical mixture of ethanol and water. The relatively strong Lewis and(More)
A reduced interface and high performance embedded system architecture (MSBUS) is proposed in this paper. The control bus is low-cost and low-power, whereas the data bus is high-bandwidth and high-speed especially. In addition, a Universal Verification Methodology (UVM)-based performance evaluation methodology is proposed to estimate the hardware structures.(More)
This paper proposes a high efficiency data bus (DBUS) for Advanced Encryption Standard (AES) encrypted system-on-chips (SoCs). Using DBUS, the data sequence can be pre-selected for AES encryption/decryption, so that the state buffering and rescheduling overhead can be reduced. FPGA results show that the DBUS based design lowers the dynamic energy to 66.93%,(More)
Recommendation becomes a mainstream feature in nowadays e-commerce because of its significant contributions in promoting revenue and customer satisfaction. Given hundreds of millions of user activity logs and product items, accurate and efficient recommendation is a challenging computational task. This paper introduces a new soft hierarchical clustering(More)