• Title/Summary/Keyword: Li Gao

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Determining a Detectable Threshold of Signal Intensity in cDNA Microarray Based on Accumulated Distribution

  • Gao, Xia;Fu, Xuping;Li, Tao;Zi, Jian;Luo, Yao;Wei, Qing;Zeng, Erliang;Xie, Yi;Li, Yao;Mao, Yumin
    • BMB Reports
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    • v.36 no.6
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    • pp.558-564
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    • 2003
  • In microarray data mining, one of the key problems is how to handle weak signals. Based on a bent piecewise linear accumulated distribution generally found in the microarray data, a new detectable threshold finding method is proposed to filter genes with unreliable information in this paper. More reliable and reproducible data is produced for the subsequent data mining.

A two-stage cascaded foreground seeds generation for parametric min-cuts

  • Li, Shao-Mei;Zhu, Jun-Guang;Gao, Chao;Li, Chun-Wei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.11
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    • pp.5563-5582
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    • 2016
  • Parametric min-cuts is an object proposal algorithm, which can be used for accurate image segmentation. In parametric min-cuts, foreground seeds generation plays an important role since the number and quality of foreground seeds have great effect on its efficiency and accuracy. To improve the performance of parametric min-cuts, this paper proposes a new framework for foreground seeds generation. First, to increase the odds of finding objects, saliency detection at multiple scales is used to generate a large set of diverse candidate seeds. Second, to further select good-quality seeds, a two-stage cascaded ranking classifier is used to filter and rank the candidates based on their appearance features. Experimental results show that parametric min-cuts using our seeding strategy can obtain a relative small pool of proposals with high accuracy.

DISTRIBUTION CHARACTERISTICS AND AFFECTING FACTORS OF SPRING HETEROTROPHIC BACTERIA IN BOHAI SEA

  • Bai, Jie;Li, Kuiran;Li, Zhengyan;Gao, Huiwang;Wu, Zengmao
    • Proceedings of the Korean Environmental Health Society Conference
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    • 2001.11a
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    • pp.6-10
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    • 2001
  • Distribution characteristics, variation patterns and affecting factors of hetorotrophic bacteria were studied from April to May 1999 in Bohai Sea by standard Acridine Orange epifluorescence microscopy (AO method). The biomass in surface waters showed a small day-night variation, varying from 0.13-2.51$\mu\textrm{m}$$.$dm$\^$-3/ with an average of 0.84 $\mu\textrm{m}$$.$dm$\^$-3/. The biomass in bottom waters showed, however, a large variation, changing from 0.15-4.18 $\mu\textrm{m}$$.$dm$\^$-3/ with an average of 1.36 $\mu\textrm{m}$$.$dm$\^$-3/. The peak values were obtained at 5 and 11 am. The bottom water biomass showed a significant correlation with particulate organic carbon (r=0.639, p<0.05). Heterotrophic bacteria showed high biomass in nearshore waters and low values in offshore areas with a high biomass zone around Yellow Sea river mouth, which was consistent with the distribution of nutrients. The vertical distribution of heterotrophic bacteria showed biomass in bottom waters was higher than in surface water. The biomass of heterotrophic bacteria in Bohai Sea was similar with that in other marine waters.

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Effects of the Substitution of Mischmetal for PrNd on the Microstructures and Magnetic Properties of Rapidly Quenched (MM)PrNd-Fe-B Nanocrystalline Magnets

  • Zhao, Zeng-ru;Wang, Xin;Zhang, Xue-feng;Ma, Qiang;Liu, Yan-li;Li, Yong-feng;Liu, Fei;Wang, Gao-feng
    • Journal of Magnetics
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    • v.22 no.1
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    • pp.60-64
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    • 2017
  • Mischmetal of Bayan Obo ore was utilized to prepare the high performance $(Pr_{7.34}Nd_{21.86})_{1-x}MM_xFe_{68.7}Al_{0.1}Cu_{0.12}Co_{0.88}B$ ribbons using melt-spinning method. Phase composition and magnetic properties were investigated at room temperature. The ribbons mainly consist of $R_2Fe_{14}B$ phase in isotropic nanostructure. Both coercivity and maximum energy product decrease with the increase of MM content. The magnetic parameters of the ribbons with MM = 20 % in mass are $B_r=7.38kGs$, $H_{cj}=13.66kOe$, $(BH)_{max}=11.81MGOe$. Henkel plots were applied to demonstrate the exchange coupling interaction between grains.

Deep Learning based Rapid Diagnosis System for Identifying Tomato Nutrition Disorders

  • Zhang, Li;Jia, Jingdun;Li, Yue;Gao, Wanlin;Wang, Minjuan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.4
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    • pp.2012-2027
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    • 2019
  • Nutritional disorders are one of the most common diseases of crops and they often result in significant loss of agricultural output. Moreover, the imbalance of nutrition element not only affects plant phenotype but also threaten to the health of consumers when the concentrations above the certain threshold. A number of disease identification systems have been proposed in recent years. Either the time consuming or accuracy is difficult to meet current production management requirements. Moreover, most of the systems are hard to be extended, only detect a few kinds of common diseases with great difference. In view of the limitation of current approaches, this paper studies the effects of different trace elements on crops and establishes identification system. Specifically, we analysis and acquire eleven types of tomato nutritional disorders images. After that, we explore training and prediction effects and significances of super resolution of identification model. Then, we use pre-trained enhanced deep super-resolution network (EDSR) model to pre-processing dataset. Finally, we design and implement of diagnosis system based on deep learning. And the final results show that the average accuracy is 81.11% and the predicted time less than 0.01 second. Compared to existing methods, our solution achieves a high accuracy with much less consuming time. At the same time, the diagnosis system has good performance in expansibility and portability.

Pilot Sequence Assignment for Spatially Correlated Massive MIMO Circumstances

  • Li, Pengxiang;Gao, Yuehong;Li, Zhidu;Yang, Dacheng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.1
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    • pp.237-253
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    • 2019
  • For massive multiple-input multiple-output (MIMO) circumstances with time division duplex (TDD) protocol, pilot contamination becomes one of main system performance bottlenecks. This paper proposes an uplink pilot sequence assignment to alleviate this problem for spatially correlated massive MIMO circumstances. Firstly, a single-cell TDD massive MIMO model with multiple terminals in the cell is established. Then a spatial correlation between two channel response vectors is established by the large-scale fading variables and the angle of arrival (AOA) span with an infinite number of base station (BS) antennas. With this spatially correlated channel model, the expression for the achievable system capacity is derived. To optimize the achievable system capacity, a problem regarding uplink pilot assignment is proposed. In view of the exponential complexity of the exhaustive search approach, a pilot assignment algorithm corresponding to the distinct channel AOA intervals is proposed to approach the optimization solution. In addition, simulation results prove that the main pilot assignment algorithm in this paper can obtain a noticeable performance gain with limited BS antennas.

Study of Stray-light Analysis and Suppression Methods for the Spectroscopic System of a Solar-radiation Observer Instrument

  • Zheng, Ru;Liu, Bo;Wang, Lingyun;Gao, Yue;Li, Guangxi;Li, Changyu
    • Current Optics and Photonics
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    • v.5 no.3
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    • pp.220-228
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    • 2021
  • To improve the measurement accuracy of a solar-radiation observer instrument, aiming at the problem of multiorder-stray-light interference caused by the diffraction of the flat-field concave grating in the spectroscopic system, straylight suppression methods for different forms of optical traps are studied. According to the grating surface-scattering distribution-function model, the bidirectional scattering distribution function (BSDF) of a dust-polluted surface and the flat-field concave grating's transition area of the spectroscopic system is calculated, and a Lyot stop with blade baffle is designed to suppress this kind of stray light. For diffraction multiorder stray light, based on the theory of light-energy transmission, a design for precise positioning of the trench optical trap is proposed. The superiority of the method is verified through simulation and actual measurement. The simulation results show that in a spectroscopic system approximately 160 mm × 140 mm × 80 mm in size, the energy of the stray light is reduced by one order of magnitude by means of the trench optical trap and Lyot stop, and the number of beams is reduced from 5664 to 1040. The actual measurements show that the stray-light-suppression efficiency is about 69.4%, which is effective reduction of the amount of stray light.

The Functional Roles of Lactobacillus acidophilus in Different Physiological and Pathological Processes

  • Gao, Huijuan;Li, Xin;Chen, Xiatian;Hai, Deng;Wei, Chuang;Zhang, Lei;Li, Peifeng
    • Journal of Microbiology and Biotechnology
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    • v.32 no.10
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    • pp.1226-1233
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    • 2022
  • Probiotics are live microorganisms that can be consumed by humans in amounts sufficient to offer health-promoting effects. Owing to their various biological functions, probiotics are widely used in biological engineering, industry and agriculture, food safety, and the life and health fields. Lactobacillus acidophilus (L. acidophilus), an important human intestinal probiotic, was originally isolated from the human gastrointestinal tract and its functions have been widely studied ever since it was named in 1900. L. acidophilus has been found to play important roles in many aspects of human health. Due to its good resistance against acid and bile salts, it has broad application prospects in functional, edible probiotic preparations. In this review, we explore the basic characteristics and biological functions of L. acidophilus based on the research progress made thus far worldwide. Various problems to be solved regarding the applications of probiotic products and their future development are also discussed.

Output SNR Analysis of the LPP-Hough Transform

  • Li, Xiumei;Yang, Guoqing;Gao, Guangchun
    • ETRI Journal
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    • v.35 no.1
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    • pp.162-165
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    • 2013
  • Recently, a new method called the local polynomial periodogram-Hough transform (LHT) was proposed for linear frequency modulated (LFM) signal detection. In this letter, a closed-form expression of the output signal-to-noise ratio is derived for the LHT, showing that the method exhibits a threshold effect for LFM signal detection. Comparisons with the pseudo-Wigner-Hough transform (PWHT) show that the threshold of the LHT is lower (better) than that of the PWHT.

Fully Adaptive Feedforward Feedback Synchronized Tracking Control for Stewart Platform Systems

  • Zhao, Dongya;Li, Shaoyuan;Gao, Feng
    • International Journal of Control, Automation, and Systems
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    • v.6 no.5
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    • pp.689-701
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    • 2008
  • In this paper, a fully adaptive feedforward feedback synchronized tracking control approach is developed for precision tracking control of 6 degree of freedom (6DOF) Stewart Platform. The proposed controller is designed in decentralized form for implementation simplicity. Interconnections among different subsystems and gravity effect are eliminated by the feedforward control action. Feedback control action guarantees the stability of the system. The gains of the proposed controller can be updated on line without requiring any prior knowledge of Stewart Platform manipulator. Thus the control approach is claimed to be fully adaptive. By employing cross-coupling error technology, the proposed approach can guarantee both of position error and synchronization error converge to zero asymptotically. Because the actuators work in synchronous manner, the tracking performances are improved. The corresponding stability analysis is also presented in this paper. Finally, simulation is demonstrated to verify the effectiveness of the proposed approach.