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4. RIS-Aided Wireless Communications: Prototyping, Adaptive Beamforming, and Indoor/Outdoor Field Trials

Author

Pei, Xilong, Yin, Haifan, Tan, Li, Cao, Lin, Li, Zhanpeng, Wang, Kai, Zhang, Kun, and Björnson, Emil

Subjects
Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing
Abstract

The prospects of using a Reconfigurable Intelligent Surface (RIS) to aid wireless communication systems have recently received much attention from academia and industry. Most papers make theoretical studies based on elementary models, while the prototyping of RIS-aided wireless communication and real-world field trials are scarce. In this paper, we describe a new RIS prototype consisting of 1100 controllable elements working at 5.8 GHz band. We propose an efficient algorithm for configuring the RIS over the air by exploiting the geometrical array properties and a practical receiver-RIS feedback link. In our indoor test, where the transmitter and receiver are separated by a 30 cm thick concrete wall, our RIS prototype provides a 26 dB power gain compared to the baseline case where the RIS is replaced by a copper plate. A 27 dB power gain was observed in the short-distance outdoor measurement. We also carried out long-distance measurements and successfully transmitted a 32 Mbps data stream over 500 m. A 1080p video was live-streamed and it only played smoothly when the RIS was utilized. The power consumption of the RIS is around 1 W. Our paper is vivid proof that the RIS is a very promising technology for future wireless communications., Comment: 13 pages, 18 figures, submitted

Published
2021
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19. Ultrasound Phase Array Tomography for Biphasic Medium Distribution Imaging Using Synthetic Aperture Beam Scanning

Author

Hao Liu, Feng Dong, Yong Bao, Li Zhanpeng, and Chao Tan

Subjects
Synthetic aperture radar, Tomographic reconstruction, Materials science, business.industry, Phased array, 020208 electrical & electronic engineering, Beam steering, 02 engineering and technology, Optics, 0202 electrical engineering, electronic engineering, information engineering, Ultrasonic sensor, Tomography, Electrical and Electronic Engineering, business, Projection (set theory), Instrumentation, Beam (structure)
Abstract

Industrial ultrasonic tomography (UT) possesses unique advantages in visualizing multiphase medium and has received broad attention in the past decades. Facing small bubble distribution imaging, the current independent-transducer-based UT faces bottleneck problems of limited projection number and large projection diameter. To image the cross-sectional bubble distribution, an original concept of ultrasonic phase array tomography (UPAT) is proposed by introducing the ultrasound phase array (UPA) transducers and novel designed sensing strategy into UT. The UPAT emits a wide and directional acoustic beam toward the receivers, on which each element forms a narrow projection to detect small bubbles on its path. Hence, the UPAT forms a novel sensing strategy with shifting and multiangled acoustic beam scanning of the whole cross section, as well as the precise measurement on a high amount of narrow projections. To mathematically model the UPAT, the acoustic field distribution and beam steering algorithm are designed for beam scanning with shifted apertures, while the forward/inverse solutions are proposed for tomographic imaging. In numerical simulations, the eight-transducer UPAT is with much lower imaging error than the state-of-art 32-transducer transmissive/reflective UT with relative error reduced by 65.66% on average. In lab-scale experiments, the reconstructed bubble size, shape, and distribution are with good accuracy, boundary preservation, and image purity.

Published
2021

22. Additional file 1 of Detection and characterization of rice orange leaf phytoplasma infection in rice and Recilia dorsalis

Author

Zhang, Xiaofeng, Ji, Zhenxi, Huang, Zhejun, Zhao, Yibing, Wang, Huanqin, Jiang, Zhoumian, Li, Zhanpeng, Chen, Hongyan, Chen, Wenle, and Wei, Taiyun

Abstract

Additional file 1: Figure S1. The alignment of Imp amino acid sequences from different phytoplasmas. The alignment of Imp amino acid sequences from ROLP (WP_071345699.1), maize bushy stunt phytoplasma (WP_069028105.1), aster yellows phytoplasma (WP_130427454.1), rapeseed phyllody phytoplasma (QKX95641.1), chrysanthemum yellows phytoplasma (WP_034172217.1), 'Chrysanthemum coronarium' phytoplasma (WP_011160959.1), 'Elaeagnus angustifolia' witches’ broom phytoplasma (MBT1576836.1), porcelain vine witches’ broom phytoplasma (WP_219475381.1), mulberry dwarf phytoplasma (WP_227807050.1), and hydrangea phyllody phytoplasma (WP_212775527.1) was performed using DNAMAN. The amino acid sequences of polypeptide for IMP2 antibody generation were indicated by red box. Figure S2. Electron micrographs showing multiplication of ROLPs in rice phloem to produce offspring. a ROLPs of various sizes associated with Imp-specific antibody. b–d Budding strategy used by ROLPs to produce offspring. Cellular protrusions of ROLPs (b) are gradually enlarged to initiate the formation of a bud (c). Offspring are then produced by fission at their junctions (d). CP, cellular protrusion. Scale bars, 100 nm.

Published
2022
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26. Highly-Efficient and Visible Light Photocatalytical Degradation of Organic Pollutants Using TiO 2 -Loaded on Low-Cost Biomass Husk.

Author

Li, Yuan, Lin, Xirong, Li, Zhanpeng, and Liu, Jinyun

Subjects
VISIBLE spectra, TITANIUM dioxide, X-ray photoelectron spectroscopy, POLLUTANTS, RICE hulls
Abstract

A composite composing of TiO2 nanoparticles load on biomass rice husk (RH) is developed by directly growing TiO2 nanoparticles on RH. The in-situ growth of the nanocrystals on RH is achieved by a low-cost and one-step homogeneous precipitation. Rapid hydrolysis proceeds at 90 °C by using ammonium fluotitanate and urea to facilitate the selective growth of TiO2. The method provides an easy access to the TiO2-RH composite with a strong interaction between TiO2 nanoparticles and the underlying RH. The structure and composition of TiO2-RH are characterized by using X-ray diffraction, X-ray photoelectron spectroscopy, Fourier-transform infrared spectroscopy, and UV-vis absorption spectroscopy. TiO2 nanoparticles-RH exhibits a good photocatalytic degradation of methyl orange. The results show that 92% of methyl orange (20 mg L−1) can be degraded within three hours in visible light. The catalytic activity of the composite is not reduced after 6 cycles, and it still reaches 81% after 6 cycles. The enhanced performance is ascribed to the suitable particle size the good dispersibility. It is expected that the high photocatalytical performance and the cost-effective composite presented here will inspire the development of other high-performance photocatalysts. [ABSTRACT FROM AUTHOR]

Published
2022
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29. APPLICATION OF NEURAL NETWORK TECHNOLOGY BASED ON MEA-BP ALGORITHM IN THE PREDICTION OF MICRODOSIMETRIC QUALITIES.

Author

Gao, Yunan, Li, Haiyang, Gao, Han, Chen, Zhen, Wang, Yidi, Tang, Wei, Li, Zhanpeng, Li, Xiang, Chen, Long, Yan, Congchong, and Sun, Liang

Subjects
ELECTRON distribution, EVOLUTIONARY algorithms, COLLISIONS (Nuclear physics), ALGORITHMS, PREDICTION models
Abstract

The most abundant products of the interaction between radiation and matter are low-energy electrons, and the collisions between these electrons and biomolecules are the main initial source of radiation-based biological damage. To facilitate the rapid and accurate quantification of low-energy electrons (0.1–10 keV) in liquid water at different site diameters (1–2000 nm), this study obtained |${\overline{y}}_{\mathrm{F}}$| and |${\overline{y}}_{\mathrm{D}}$| data for low-energy electrons under these conditions. This paper proposes a back-propagation (BP) neural network optimized by the mind evolutionary algorithm (MEA) to construct a prediction model and evaluate the corresponding prediction effect. The results show that the |${\overline{y}}_{\mathrm{F}}$| and |${\overline{y}}_{\mathrm{D}}$| values predicted by the MEA-BP neural network algorithm reach a training precision on the order of |${10}^{-8}$|⁠. The relative error range between the prediction results of the validated model and the Monte Carlo calculation results is 0.03–5.98% (the error range for single-energy electrons is 0.1–5.98%, and that for spectral distribution electrons is 0.03–4.4%). [ABSTRACT FROM AUTHOR]

Published
2022
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42. Native Plant Resources and Garden Landscaping in Longnan of Gansu Province

Author

LIU, Quan, LI, Zhanpeng, LI, Xiaolin, YAN, Huili, and LIU, Hong

Subjects
Agribusiness, Western plants, Reasonable combination, Cultivation techniques
Abstract

Qinba Mountain Area is rich in plant resources. It is of great significance to study how to combine arbors, shrubs, and herbs in different regions and different climatic regions, reflect the beauty of color, form, and charm. Besides, under different climatic and geomorphological conditions, adopting different land preparation methods and different cultivation techniques is helpful for increasing the survival rate and preservation rate, so as to provide certain technical basis for revitalizing development of rural areas and building the ecological barriers.

Published
2018
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45. The buildup factor calculations of concrete with different proportions of CRT based on a BP neural network by MCNP

Author

Gao, Han, Li, Xiang, Li, Zhanpeng, Wang, Yidi, Gao, Yunan, Tang, Wei, Chen, Long, Yan, Congchong, Tu, Yu, and Sun, Liang

Abstract

ABSTRACTCathode ray tubes (CRTs) are glass materials that contain harmful heavy metal elements such as lead . CRTs have been widely used in electronic products sets for decades. At present, these discarded CRTs endanger the environment. Because the high-density heavy metal elements in CRTs have a good shielding effect for X/γ rays, these raw materials have become a good choice to produce radiation-proof concrete. In the selection and use of shielding materials, the buildup factor must be considered. Monte Carlo code MCNP is used to calculate the exposure buildup factor (EBF) of concrete with different proportions of CRT fragments in the photon energy range of 0.015–15 MeV for shielding thicknesses of up to 20 mean free paths (mfp). Back-propagation (BP) neural network is proposed to predict the EBF, and the prediction effect is evaluated, reliability of  this method is verified; the average error is 3.4%, and the maximum error is 9.1%. Using this method, the EBF of concrete with an arbitrary proportion of CRTs, any energy level and any shielding thickness can be quickly obtained in the ranges of the parameters of the neural network training set (0.015–15 MeV and 0–20 mfp in this paper).

Published
2021
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46. The influence of Geant4-DNA toolkit parameters on electron microdosimetric track structure.

Author

Wang, Yidi, Li, Zhanpeng, Zhang, Shuyuan, Tang, Wei, Li, Xiang, Chen, Dandan, and Sun, Liang

Subjects
MONOENERGETIC radiation, ELECTRONS, MONTE Carlo method
Abstract

The influence of different physical process factors on tracks of low-energy electrons in liquid water was analyzed and evaluated based on the Geant4-DNA toolkit of Geant4 version 10.4, and it provides theoretical support for obtaining the basic parameters of microdosimetry concerned with radiotherapy and radiation protection. According to the characteristics of different models, five physics constructors of Geant4-DNA toolkit were selected to simulate monoenergetic electrons in microscopic scale. Details of track structure of different Geant4-DNA physics constructors were compared, including total number of interaction processes, number and energy percentage of excitation and ionization; analyzing the impacts of mean lineal energy of several factors, including Geant4-DNA physics constructors, initial energy, radius of scoring spheres, interaction processes and cut-off energy. Firstly, 'G4EmDNAPhysics' (hereinafter referred to as 'dna') is well consistent with 'G4EmDNAPhysics_option 2' (hereinafter referred to as 'option 2'), and 'G4EmDNAPhysics_option 4' (hereinafter referred to as 'option 4') is well consistent with 'G4EmDNAPhysics_option 5' (hereinafter referred to as 'option 5'); secondly, there are differences for the information of track structure and mean lineal energy between 'option 2' 'option 4' and 'G4EmDNAPhysics_option 6' (hereinafter referred to as 'option 6'); thirdly, the influence of the model on the mean lineal energy decreases with the increase of the radius of the scoring spheres, whereas mean lineal energy increases as the tracking cut increases. Several alternative discrete physics constructors of Geant4-DNA are comprehensively discussed overlaying multiple perspectives under different conditions in this work. [ABSTRACT FROM AUTHOR]

Published
2020
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