Article
Engineering, Electrical & Electronic
Chao Chen, Dan Huang, Yan Zhao, Yuemin Jin, Jun Yang
Summary: This article presents an architecture for an ultra-low-voltage 2.4 GHz RF receiver front-end that targets the removal of output flicker noise, enabling the use of zero-IF topology for narrow-band communication standards. The proposed design achieves imperceptible flicker-noise corner frequency by using a hybrid operational trans-conductance amplifier (OTA) with switched-capacitor (SC) and primary-secondary amplifiers. It also offers the benefits of reduced minimum supply voltage and inherent dc offset compensation (DCOC). The front-end prototype, fabricated in a 28-nm RF CMOS process, demonstrates high performance with low power consumption.
IEEE JOURNAL OF SOLID-STATE CIRCUITS
(2023)
Article
Engineering, Electrical & Electronic
Mona Feige, Stephan Schlamminger, Andrew D. Koffman, Dean G. Jarrett, Shamith Payagala, Alireza Panna, Bryan C. Waltrip, Michael Berilla, Frank Seifert, Yicheng Wang
Summary: In this study, a digital impedance bridge was used to compare a capacitor with a resistor in a hybrid structure. The impedance ratio was matched to a two-stage inductive voltage divider by adjusting the operating frequency of the bridge. The residual deviation and phase factor of the impedance ratio were measured using a custom detection system, and the inductive voltage divider was calibrated using a conventional four-arm bridge. The measurement results were limited by the digitizer error.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Electrical & Electronic
Dobromir P. Dobrev, Emad Alnasser, Tatyana D. Neycheva
Summary: Charge-generating sensors are extensively used in various fields to obtain information such as pressure, temperature, and acceleration by generating a charge proportional to the input quantity. To process the sensor output, a charge amplifier is typically used, and a composite charge amplifier has been introduced to address output offset issues.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Yanyan Shi, Yajun Lou, Meng Wang, Zhiwei Tian, Bin Yang, Feng Fu
Summary: This paper proposes a novel method to improve the reconstruction quality of electrical impedance tomography (EIT) in case of electrode offset. By correcting the mismatched boundary voltage caused by electrode movement, and conducting image reconstruction with total generalized variation regularization method, the proposed method effectively improves the image quality under electrode offset. The method is potential for mismatch correction in some medical applications, as demonstrated by extensive experiments.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Yang Zhang, Giovanni Mangraviti, Johan Nguyen, Zhiwei Zong, Kamil Yavuz Kapusuz, Sam Lemey, Hendrik Rogier, Giuseppe Gramegna, Piet Wambacq
Summary: This article presents a low-power reflection-coefficient sensor for 5G millimeter-wave phased-array applications, using complex voltage to determine the load impedance of PA with minimal loss and area penalty. The sensor prototype, fabricated in a 22 nm FD-SOI process, demonstrates wide detection range and high detection resolution.
IEEE JOURNAL OF SOLID-STATE CIRCUITS
(2021)
Article
Engineering, Multidisciplinary
Priyanka Jain, Sathish, Sachin Kumar, Nidhi Singh, Thomas John, J. C. Biswas
Summary: This paper presents the development of a digitally assisted coaxial bridge for calibrating Inductive Voltage Dividers (IVDs). The bridge utilizes a programmable digital detector (PDD) that measures the difference voltage. The PDD senses the difference voltage in the presented bridge and calculates the ratio corrections for the test IVD. The digitally assisted IVD calibration bridge achieves uncertainties of 0.55 mu V/V and 0.56 mu V/V for in-phase and quadrature corrections, while a manual bridge achieves uncertainties of 0.63 mu V/V and 1.50 mu V/V respectively. The digitally assisted IVD calibration bridge is superior to the manual bridge in terms of simplicity, precision, speed, and user-friendliness, making it suitable for daily calibration requirements.
Article
Computer Science, Information Systems
Cong Tao, Liangbo Lei, Zhipeng Chen, Yumei Huang, Zhiliang Hong
Summary: A highly linear and wideband transimpedance amplifier (TIA) suitable for 5G Sub-6 GHz SAW filter-less receivers is presented in this paper. The TIA is designed with a pseudo-differential two-stage operational transconductance amplifier (OTA) with high gain and large bandwidth. A cascode negative resistance (CNR) technique is proposed to stabilize the common mode (CM) loop without degrading the differential mode (DM) gain.
Article
Engineering, Electrical & Electronic
Xufeng Liao, Suzhen Xie, Jiaxi Xu, Lianxi Liu
Summary: This paper presents a fully differential wake-up receiver (WuRX) with ultra-low power and high sensitivity. The proposed receiver achieves differential signal processing without an off-chip balun, resulting in noise suppression and sensitivity improvement. Low voltage baseband signal processing and periodic offset cancellation technique are used to reduce power consumption and mitigate offset and low-frequency noise impacts.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2022)
Article
Engineering, Electrical & Electronic
Oveis Asgari Gashteroodkhani, Mehrdad Majidi, Mehdi Etezadi-Amoli
Summary: Line impedance estimation is crucial in power system studies, but calculated values may be unreliable due to inaccurate information and lack of communication between departments. Estimating zero-sequence impedance in parallel transmission lines is particularly challenging.
IEEE TRANSACTIONS ON POWER DELIVERY
(2021)
Article
Instruments & Instrumentation
Mona Feige, Stephan Schlamminger, Bryan Waltrip, Michael Berilla, Yicheng Wang
Summary: The study tested a simple digital impedance bridge using two equal resistors with a focus on detector resolution and stability. Fluctuations in source voltages were removed through postprocessing, while measurement results were limited by detector noise. Using lock-in detectors, the system achieved higher stability and resolution for measuring small deviations from the perfect AC ratio.
JOURNAL OF RESEARCH OF THE NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Mo'men Mansour, Shane Smith, Harris Kagan, Kennedy Caisley, Bora Tar, Ahmed Naguib, Andrej Gorisek, Bojan Hiti, Miha Mali, Marko Mikuz, Michael Ziolkowski, Jens Winter, Waleed Khalil
Summary: This article presents a radiation-hardened analog front-end (AFE) integrated circuit (IC) designed for solid-state ionizing radiation detectors. The AFE provides accurate measurements of amplitude and time-of-arrival. The AFE is used in the Beam Conditions Monitor Prime (BCM') of the ATLAS experiment at the Large Hadron Collider (LHC).
IEEE TRANSACTIONS ON NUCLEAR SCIENCE
(2023)
Article
Engineering, Electrical & Electronic
David Munzer, Naga Sasikanth Mannem, Edgar Felipe Garay, Hua Wang
Summary: This study proposes a quadrature coupler-based impedance/power detector for mm-Wave applications integrated with a power amplifier (PA). It successfully addresses the issue of driving impedance variation caused by undesired element couplings in phased arrays. The research provides design guidelines and performance evaluation based on a comprehensive comparison with traditional coupler sensors.
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
(2022)
Article
Engineering, Electrical & Electronic
Guanrong Hou, Behzad Razavi
Summary: This article describes a one-eighth-rate clock and data recovery circuit and a demultiplexer for processing four-level pulse-amplitude modulation signals in receivers. The proposed architecture can achieve a wider loop bandwidth, suppress oscillator phase noise, and improve jitter tolerance.
IEEE JOURNAL OF SOLID-STATE CIRCUITS
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Nguyen Ngoc Tram, Trinh Duc Nam, Truong Xuan Thanh, Tran Quang Do, Dinh Hong Thai, Vu Duy Hai
Summary: A new signal processing method based on the comparator and the operating principle of the phase lock loop was proposed for BIPA measurement, aiming to improve the accuracy of the results. By calculating the phase angle between two signals and comparing it with the programmed one, the system showed a bias of -0.01, precision of 0.07, and percentage error of 4.31%.
2021 15TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND APPLICATIONS (ACOMP 2021)
(2021)
Article
Environmental Sciences
Jiasheng Xu, Guoqing Zhou, Sikai Su, Qiaobo Cao, Zhou Tian
Summary: Models for bathymetry retrieval from multispectral images usually neglect the errors caused by tidal fluctuation. In this paper, a rigorous model that considers the variation in tide height time series is proposed. The model was applied and validated on Weizhou Island using Landsat 8 satellite imagery, and it significantly improved the accuracy of bathymetry retrieval compared to traditional models.
Article
Environmental Sciences
Guoqing Zhou, Zhenyu Wang, Qi Li
Summary: This paper proposes a join-based prevalent negative co-location mining algorithm, which can quickly and effectively mine all the prevalent negative co-location patterns in spatial data. The experiment results demonstrate that the algorithm has an excellent efficiency level.
Article
Environmental Sciences
Xiao Zhou, Han Wang, Zhou Huang, Yi Bao, Guoqing Zhou, Yu Liu
Summary: This study analyzes the CO2 emissions of road traffic in Shenzhen based on traffic trajectory data, and investigates the impact of built environment factors on road traffic emissions. The results provide a detailed map of CO2 emissions and identify several factors that significantly influence road traffic emissions, such as population density, number of workplaces, number of dwellings, density of main roads, access to metro stations, and access to bus stops.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Chemistry, Analytical
Guoqing Zhou, Xiang Zhou, Jinlong Chen, Guoshuai Jia, Qiang Zhu
Summary: This paper presents an FPGA-based improved Gaussian full-waveform decomposition method, which achieves processing accuracy comparable to PC-based processing and is 292 times faster in processing speed.
Article
Environmental Sciences
Zhuomei Huang, Yichao Tian, Qiang Zhang, Youju Huang, Rundong Liu, Hu Huang, Guoqing Zhou, Jingzhen Wang, Jin Tao, Yongwei Yang, Yali Zhang, Junliang Lin, Yuxin Tan, Jingwen Deng, Hongxiu Liu
Summary: A light gradient boosting model (LGBM) based on particle swarm optimization (PSO) algorithm is proposed for accurate prediction of aboveground biomass of mangroves. The model outperforms other machine learning algorithms in performance and provides more accurate prediction results for large-scale mangroves.
GEOCARTO INTERNATIONAL
(2022)
Article
Environmental Sciences
Feng Wang, Guoqing Zhou, Han Hu, Yuefeng Wang, Bolin Fu, Shiming Li, Jiali Xie
Summary: This paper proposes a novel method for efficient reconstruction of LoD-2 building models guided by facade structures from an oblique photogrammetric point cloud. The method includes constructing a building planar layout based on footprint data and vertical planes, extracting facade profiles using regularity constraints and a binary integer programming model, and generating a 2D building topology combined with the planar layout and profiles.
Article
Construction & Building Technology
Xiao Zhou, Quanhua Dong, Zhou Huang, Ganmin Yin, Guoqing Zhou, Yu Liu
Summary: Using multi-source big data, this study analyzed the effects of built environment characteristics on the integrated usage of dockless bike-sharing (DBS) and public transport. The results showed that factors such as points of interest around public transport stations, length of main road, and length of cycle path significantly influenced the integrated usage. However, the impact of these factors varied in different areas. These findings can be used to create a bike-friendly environment and encourage the connection between DBS and public transport.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Remote Sensing
Jianjun Chen, Zizhen Chen, Renjie Huang, Haotian You, Xiaowen Han, Tao Yue, Guoqing Zhou
Summary: This study investigated the effects of spatial resolution and resampling on the classification results of vegetation species and ground objects, and utilized GEOBIA and various machine learning classifiers to classify remote sensing images in Chewan Town, Lixian County, Hubei Province. The results showed that the optimal scale parameter and processing time decreased as spatial resolution decreased in multi-scale images; the optimal scale parameter of resampled images was higher than that of original images at the same resolution; spectral and texture features in resampled images were more significant than those in original images; different classifiers exhibited similar trends in classification accuracy with spatial resolutions ranging from 1.2 to 5.9 cm, where the overall accuracy increased and then decreased with decreasing spatial resolution, with higher accuracy in original images compared to resampled images.
Article
Optics
Gouqing Zhou, Gangchao Lin, Zhexian Liu, Xiang Zhou, Weihao Li, Xianxing Li, Ronghua Deng
Summary: When a bathymetric LiDAR onboard unmanned ship is close to the water surface less than 50 cm, the laser echo energy from the water surface is much higher than that from the water bottom. This paper proposes an optics system to suppress the amplitude of the echo signal from water surface through suppressing the laser echo energy. The experimental results demonstrate that the proposed system can effectively suppress 80.7% of the amplitude of the echo signal from the water surface when the voltage control of PMT detector is 0.40 V, which can largely improve the detection ability of the echo signals from water bottom in shallow water.
OPTICS AND LASERS IN ENGINEERING
(2023)
Article
Environmental Sciences
Feng Wang, Guoqing Zhou, Jiali Xie, Bolin Fu, Haotian You, Jianjun Chen, Xue Shi, Bowen Zhou
Summary: This paper proposes a divisive hierarchical clustering algorithm that uses shape classification and outliers reassignment to segment LiDAR point clouds in order to effectively identify the various shapes of structures that make up buildings. The method adopts a coarse-to-fine strategy and achieves accurate extraction of geometric primitives.
Article
Environmental Sciences
Jianjun Chen, Yanping Yang, Zihao Feng, Renjie Huang, Guoqing Zhou, Haotian You, Xiaowen Han
Summary: Based on 30 m land use data, this study confirms that a spatial granularity of 120 m and a spatial extent of 7 km are the optimal scales for ecological risk assessment and prediction in Nanning, China. The results show that the overall ecological risk in Nanning is relatively low, with a small area of high ecological risk under the scenario of ecological protection in 2036.
Article
Environmental Sciences
Ertao Gao, Guoqing Zhou
Summary: This study proposes a method for extracting tidal flats using remote sensing techniques, and investigates their dynamic variation characteristics and interaction with mangroves in Beibu Gulf, Southwest China. The results show that the total area of tidal flats decreased by 130 km(2) from 1987 to 2021, with an average annual change of -3.7 km(2)/a. Additionally, a negative correlation between tidal flat change area and mangrove change area was observed in Shankou, Maowei Sea, and Pearl Bay. These results provide valuable references for tidal flats’ resource conservation and vegetation changes in coastal wetlands.
Article
Environmental Sciences
Yichao Tian, Hu Huang, Guoqing Zhou, Qiang Zhang, Xiaokui Xie, Jinhai Ou, Yali Zhang, Jin Tao, Junliang Lin
Summary: This study proposes an innovative framework for assessing and managing mangrove biodiversity using drone low-altitude remote sensing and integrating various data sources. The results show spatial patterns of mangrove biodiversity, with high-biodiversity areas primarily located in the southwest and low-value areas in the north. The proposed method using unmanned-aerial-vehicle LiDAR and hyperspectral technology provides a feasible solution for large-scale biodiversity mapping and conservation strategies.
Article
Environmental Sciences
Bin Hu, Yiqiang Zhao, Guoqing Zhou, Jiaji He, Changlong Liu, Qiang Liu, Mao Ye, Yao Li
Summary: This paper proposes a nonlocal encoder block (NLEB) based on spatial dilated convolution to optimize the feature extraction of adjacent frames. Then, a coupled denoising encoder-decoder network is proposed that takes advantage of the echo correlation in deep-water and shallow-water channels. By stacking full waveforms from different channels, local and nonlocal features are extracted from a 2D tensor. The reconstructed denoised data is obtained by fusing the features of the two channels using a fully connected layer and deconvolution layer.
Article
Environmental Sciences
Guangrui Zhong, Jianjun Chen, Renjie Huang, Shuhua Yi, Yu Qin, Haotian You, Xiaowen Han, Guoqing Zhou
Summary: Fractional vegetation coverage (FVC) is an important indicator of ecosystem change. Currently, FVC products lack high temporal and spatial resolution. This study evaluated four remote sensing inversion models for FVC using high-spatial-resolution imagery and field-measured FVC data. The best inversion model was used to create a FVC product for the Source Region of the Yellow River (SRYR), and spatial-temporal variation characteristics of FVC were analyzed. The study found that the Gradient Boosting Decision Tree (GBDT) model had the highest accuracy and NDVI and elevation were important factors affecting the model's accuracy.
