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      • New Recursive Identification Algorithm for Time-Varying Systems

        Lianming Sun,Lin Li 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8

        A new recursive identification algorithm for time-varying systems is developed in this paper. It is demonstrated that the parameters of the time-varying model can be expressed by a nexplicit approximation using cosineseries. By using the or thogonal characteristics of basis functions, efficient updating of matrices and recursion of parameters are implemented in the algorithm. In contrast with the conventional basis function based methods, RLS and LMS algorithms, the proposed algorithm has less sensitivity to selection of basis functions and data window, and has higher tracking performance even in rapid varying processes.

      • KCI등재

        Taxonomic Revision of the Nematode-Trapping Fungus Arthrobotrys multisecundaria

        Juan Li,Jinkui Yang,Lianming Liang,Ke-Qin Zhang 한국미생물학회 2008 The journal of microbiology Vol.46 No.5

        The gene encoding an extracellular serine protease was cloned from Arthrobotrys multisecundaria using degenerate primers. The gene was highly similar (99.26%) to protease Mlx from Monacrosporium microscaphoides. To clarify the taxonomic relationship between these species, genes encoding the internal transcribed spacer (ITS) and β-tubulin were also cloned and sequenced from A. multisecundaria and M. microscaphoides, respectively. Homologous analysis of the nuclear (ITS) and protein (β-tubulin) encoding genes showed that the two species of nematode-trapping fungi also shared extensive identity (99.82 and 99.63%, respectively), although they exhibited obvious differences in secondary conidia morphology. Accordingly, a taxonomic revision is recommended, with A. multisecundaria being revised as A. microscaphoides var. multisecundaria. In addition, the identified mutation may better facilitate the study of the sporulation of nematode-trapping fungi.

      • KCI등재

        A Hybrid of Smartphone Camera and Basestation Wide-area Indoor Positioning Method

        ( Jichao Jiao ),( Zhongliang Deng ),( Lianming Xu ),( Fei Li ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.2

        Indoor positioning is considered an enabler for a variety of applications, the demand for an indoor positioning service has also been accelerated. That is because that people spend most of their time indoor environment. Meanwhile, the smartphone integrated powerful camera is an efficient platform for navigation and positioning. However, for high accuracy indoor positioning by using a smartphone, there are two constraints that includes: (1) limited computational and memory resources of smartphone; (2) users` moving in large buildings. To address those issues, this paper uses the TC-OFDM for calculating the coarse positioning information includes horizontal and altitude information for assisting smartphone camera-based positioning. Moreover, a unified representation model of image features under variety of scenarios whose name is FAST-SURF is established for computing the fine location. Finally, an optimization marginalized particle filter is proposed for fusing the positioning information from TC-OFDM and images. The experimental result shows that the wide location detection accuracy is 0.823 m (1σ) at horizontal and 0.5 m at vertical. Comparing to the WiFi-based and ibeacon-based positioning methods, our method is powerful while being easy to be deployed and optimized.

      • SCISCIESCOPUS

        Arrays of horizontal carbon nanotubes of controlled chirality grown using designed catalysts

        Zhang, Shuchen,Kang, Lixing,Wang, Xiao,Tong, Lianming,Yang, Liangwei,Wang, Zequn,Qi, Kuo,Deng, Shibin,Li, Qingwen,Bai, Xuedong,Ding, Feng,Zhang, Jin Macmillan Publishers Limited, part of Springer Nat 2017 Nature Vol.543 No.7644

        <P>The semiconductor industry is increasingly of the view that Moore's law-which predicts the biennial doubling of the number of transistors per microprocessor chip-is nearing its end(1). Consequently, the pursuit of alternative semiconducting materials for nanoelectronic devices, including single-walled carbon nanotubes (SWNTs), continues(2-4). Arrays of horizontal nanotubes are particularly appealing for technological applications because they optimize current output. However, the direct growth of horizontal SWNT arrays with controlled chirality, that would enable the arrays to be adapted for a wider range of applications and ensure the uniformity of the fabricated devices, has not yet been achieved. Here we show that horizontal SWNT arrays with predicted chirality can be grown from the surfaces of solid carbide catalysts by controlling the symmetries of the active catalyst surface. We obtained horizontally aligned metallic SWNT arrays with an average density of more than 20 tubes per micrometre in which 90 per cent of the tubes had chiral indices of (12, 6), and semiconducting SWNT arrays with an average density of more than 10 tubes per micrometre in which 80 per cent of the nanotubes had chiral indices of (8, 4). The nanotubes were grown using uniform size Mo2C and WC solid catalysts. Thermodynamically, the SWNT was selectively nucleated by matching its structural symmetry and diameter with those of the catalyst. We grew nanotubes with chiral indices of (2m, m) (where m is a positive integer), the yield of which could be increased by raising the concentration of carbon to maximize the kinetic growth rate in the chemical vapour deposition process. Compared to previously reported methods, such as cloning(5,6), seeding(7,8) and specific-structure-matching growth(9-11), our strategy of controlling the thermodynamics and kinetics offers more degrees of freedom, enabling the chirality of as-grown SWNTs in an array to be tuned, and can also be used to predict the growth conditions required to achieve the desired chiralities.</P>

      • KCI등재

        Design of 39-GHz Up- and Down-Conversion Mixers for 5G mmWave TDD Applications

        Wang Yi-Yang,Duan Haipeng,He Long,Wu Xu,Wang Dongming,Li Lianming 한국전자파학회 2023 Journal of Electromagnetic Engineering and Science Vol.23 No.2

        This article presents fully integrated 39-GHz bidirectional up- and down-conversion mixers for 5G millimeter-wave (mmWave) applications. Fabricated in a 65-nm CMOS process with a 1.2-V supply voltage, the up- and down-conversion mixers consume 39 and 43 mW, respectively. For 5G time-division duplexing (TDD) operation, intermediate-frequency (IF)/local-oscillator (LO)/radio-frequency (RF) T/R switches are introduced. For better isolation and low insertion loss between the up- and down-conversion mixer, a series-shunt singlepole double-throw (SPDT) structure and an equivalent lumped λ/4 transmission line are proposed for IF and RF T/R switches, respectively. To realize compact area and wide bandwidth, a transformer-based matching network is adopted in this design. Targeting multi-channel phased array applications, the measurement result shows that the up-conversion mixer achieves a 2.5-dB peak conversion gain with 6.5 GHz 3-dB bandwidth. Including the insertion loss of the switch and IF signal routing, at the maximum gain of 36.5 GHz, the up-conversion mixer achieves an output 1-dB gain compression point (OP1dB) of 2.5 dBm. Furthermore, the down-conversion mixer achieves a 5-dB peak conversion gain with a 9.7-GHz 3-dB bandwidth.

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