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Search Results: 1 - 10 of 127154 matches for " LI Shuo "
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Analysis on the Influence Factors of Wind Power Accommodation  [PDF]
Xiaofei Li, Yuehui Huang, Shuo Ma, Changjun Li, Xiaolei Ma
Journal of Power and Energy Engineering (JPEE) , 2015, DOI: 10.4236/jpee.2015.34023

With the increase of wind power capacity in China, the situation of curtailment of wind power is getting worse. An annual sequence production simulation model is established with maximum wind power consumption as the objective function. The calculation of specific power grid operation in 2013 verifies the precision of this model. The impact of different factors on wind power accommodation as well as the impact of power grid reserve, wind resources and load on wind power curtailment is analyzed. The calculation results quantify the impact of different factors from power system to the accommodation of wind power and provide reference to solving the problem of wind power curtailment.

Towards Direct Medical Image Analysis without Segmentation
Xiantong Zhen,Shuo Li
Computer Science , 2015,
Abstract: Direct methods have recently emerged as an effective and efficient tool in automated medical image analysis and become a trend to solve diverse challenging tasks in clinical practise. Compared to traditional methods, direct methods are of much more clinical significance by straightly targeting to the final clinical goal rather than relying on any intermediate steps. These intermediate steps, e.g., segmentation, registration and tracking, are actually not necessary and only limited to very constrained tasks far from being used in practical clinical applications; moreover they are computationally expensive and time-consuming, which causes a high waste of research resources. The advantages of direct methods stem from \textbf{1)} removal of intermediate steps, e.g., segmentation, tracking and registration; \textbf{2)} avoidance of user inputs and initialization; \textbf{3)} reformulation of conventional challenging problems, e.g., inversion problem, with efficient solutions.
Synthesis and Growth Mechanism of Carbon Filaments by Chemical Vapor Deposition without Catalyst

Shuhe Liu,Feng Li,Shuo Bai,

材料科学技术学报 , 2009,
Abstract: Carbon filaments with diameter from several to hundreds micrometers were synthesized by chemical vapor deposition of methane without catalyst. The morphology, microstructure and mechanical properties of the carbon filament were investigated by scanning electronic microscopy, optical microscopy, X-ray diffraction and mechanical testing. The results show that the carbon filament is inverted cone shape and grows up along the gas flow direction. The stem of it is formed of annular carbon layers arranged in a tree ring structure while the head is made up of concentrical layers. The tensile strength of the carbon filament is increased after graphitization for the restructuring and growing large of graphene. The growth mechanism of carbon filament was proposed according to the results of two series of experiments with different deposition time and intermittent deposition cycles.
A Smart Graded-index Multimode Fiber Based Sensor Unit for Multi-parameter Sensing Applications  [PDF]
Shuo Fang, Baoyong Li, Dawei Song, Jianzhong Zhang, Weimin Sun, Libo Yuan
Optics and Photonics Journal (OPJ) , 2013, DOI: 10.4236/opj.2013.32B062

We demonstrate a smart optical fiber sensor unit to realize a multi-parameter sensing, including temperature, curvature and strain or displacement. The sensor unit is composed of a Bragg grating in graded-index multimode fiber and a Fizeau cavity.

Finite-Time -Gain Control for Positive Switched Systems with Time-Varying Delay via Delta Operator Approach
Shuo Li,Zhengrong Xiang,Hamid Reza Karimi
Abstract and Applied Analysis , 2014, DOI: 10.1155/2014/872158
Abstract: This paper is concerned with the problem of finite-time -gain control for positive switched systems with time-varying delay via delta operator approach. Firstly, sufficient conditions which can guarantee the -gain finite-time boundedness of the underlying system are given by using the average dwell time approach and constructing an appropriate copositive type Lyapunov-Krasovskii functional in delta domain. Moreover, the obtained conditions can unify some previously suggested relevant results seen in literature of both continuous and discrete systems into the delta operator framework. Then, based on the results obtained, a state feedback controller is designed to ensure that the resulting closed-loop system is finite-time bounded with an -gain performance. Finally, a numerical example is presented to demonstrate the effectiveness and feasibility of the proposed method. 1. Introduction Positive systems are dynamical systems where the states and outputs are constrained to be nonnegative whenever the initial conditions and inputs are nonnegative [1, 2]. Such systems are applied in various areas, for instance, biomedicine [3, 4], ecology [5], TCP-like Internet congestion control [6, 7], industrial engineering [8], and so on. Recently, positive switched systems, which consist of a family of positive subsystems and a switching signal coordinating the operation of various subsystems to govern the switching among them, have been highlighted and investigated by many researchers due to the broad applications in communication systems [7, 9], formation flying [10], the viral mutation dynamics under drug treatment [2], and systems theories [11–13]. It has been shown that a linear copositive Lyapunov functional is powerful for the analysis and synthesis of positive systems [14–16]. The delta operator, as a novel method of solving the problem of system instability under fast sampling, has drawn considerable attention in the past three decades. As we know, most discrete-time signals and systems are the results of sampling continuous-time signals and systems. When the sampling period tends to zero, namely, data are taken at high sampling rates, however, all resulting signals and systems tend to be ill-conditioned and thus difficult to deal with using the conventional algorithms. Until Goodwin et al. proposed a delta-operator-based algorithm in [17] to take place of the conventional algorithms, the above problem is avoided. It was shown that delta-operator-based algorithms are numerically better behaved under finite precision implementations for fast sampling [17]. The
Time-Series Characteristics of Wind Power and Its Impact on Jilin Power Grid  [PDF]
Yanping Xu, Yong Sun, Taiyi Zheng, Hongyi Cai, Peng Li, Shuo Ma
Journal of Power and Energy Engineering (JPEE) , 2014, DOI: 10.4236/jpee.2014.24029
Abstract: With the rapid development of wind power, the large-scale wind power integration brings a new range of issues in dispatching operation. In order to gain a better grasp of the influence caused by wind power combined to the grid, the paper first establishes the impact characteristic indexes, and then analyzes the regularity of wind power time series in different spatial and temporal scales. At last, according to the analysis results, this paper assesses the impact of time-series characteristics of wind power on power grid, such as the frequency regulation, peak load regulation, which can provide the reference for wind power optimal dispatching of Jilin Power Grid.
Integrability on generalized $q$-Toda equation and hierarchy
Anni Meng,Chuanzhong Li,Shuo Huang
Physics , 2014,
Abstract: In this paper, we construct a new integrable equation which is a generalization of $q$-Toda equation. Meanwhile its soliton solutions are constructed to show its integrable property. Further the Lax pairs of the generalized $q$-Toda equation and a whole integrable generalized $q$-Toda hierarchy are also constructed. To show the integrability, the Bi-hamiltonian structure and tau symmetry of the generalized $q$-Toda hierarchy are given and this leads to the tau function.
A milliparsec supermassive black hole binary candidate in the galaxy SDSS J120136.02+300305.5
F. K. Liu,Shuo Li,S. Komossa
Physics , 2014, DOI: 10.1088/0004-637X/786/2/103
Abstract: Galaxy mergers play a key role in the evolution of galaxies and the growth of their central supermassive black holes (SMBHs). A search for (active) SMBH binaries (SMBHBs) at the centers of the merger remnants is currently ongoing. Perhaps the greatest challenge is to identify the inactive SMBHBs, which might be the most abundant, but are also the most difficult to identify. Liu et al. predicted characteristic drops in the light curves of tidal disruption events (TDEs), caused by the presence of a secondary SMBH. Here, we apply that model to the light curve of the optically inactive galaxy SDSS J120136.02+300305.5, which was identified as a candidate TDE with XMM-Newton. We show that the deep dips in its evolving X-ray light curve can be well explained by the presence of a SMBHB at its core. A SMBHB model with a mass of the primary of M_BH = 10^7 M_sun, a mass ratio q=0.08, and a semimajor axis a_b = 0.6 mpc is in good agreement with the observations. Given that primary mass, introducing an orbital eccentricity is needed, with e_b = 0.3. Alternatively, a lower mass primary of M_BH = 10^6 M_sun in a circular orbit fits the light curve well. Tight binaries like this one, which have already overcome the "final parsec problem," are prime sources of gravitational wave radiation once the two SMBHs coalesce. Future transient surveys, which will detect TDEs in large numbers, will place tight constraints on the SMBHB fraction in otherwise non-active galaxies.
Two-Level Evaluation on Sensor Interoperability of Features in Fingerprint Image Segmentation
Gongping Yang,Ying Li,Yilong Yin,Ya-Shuo Li
Sensors , 2012, DOI: 10.3390/s120303186
Abstract: Features used in fingerprint segmentation significantly affect the segmentation performance. Various features exhibit different discriminating abilities on fingerprint images derived from different sensors. One feature which has better discriminating ability on images derived from a certain sensor may not adapt to segment images derived from other sensors. This degrades the segmentation performance. This paper empirically analyzes the sensor interoperability problem of segmentation feature, which refers to the feature’s ability to adapt to the raw fingerprints captured by different sensors. To address this issue, this paper presents a two-level feature evaluation method, including the first level feature evaluation based on segmentation error rate and the second level feature evaluation based on decision tree. The proposed method is performed on a number of fingerprint databases which are obtained from various sensors. Experimental results show that the proposed method can effectively evaluate the sensor interoperability of features, and the features with good evaluation results acquire better segmentation accuracies of images originating from different sensors.
Study on the Molecular Mechanisms of dlk1 Stimulated Lung Cancer Cell Proliferation
Yu LIU,Jinjing TAN,Lin LI,Shuo LI
Chinese Journal of Lung Cancer , 2010,
Abstract: Background and objective The imprinted gene dlk1 has been recognized as a cancer related gene since it aberrantly expressed in a series of cancer tissues, but its role in lung cancer is still unknown. The aim of this study is to examine dlk1’s expression in non-small cell lung cancers (NSCLCs) and investigate the molecular mechanism by which dlk1 could accelerate the proliferation of the cells in lung cancer cell lines (H520). Methods The relative expression of dlk1 among 30 NSCLC specimens and their adjacent normal lung tissues were analyzed by RT-PCR. A cell model that stably expressed exogenous dlk1 was established following that the dlk1 gene was cloned into a eukaryotic expression vector and then transfected into the lung cancer cells H520. CCK8 analysis and colony forming assay were employed to investigate the effect of dlk1 on cell proliferation. The expression of CyclinB1 was detected by Western blot. Results dlk1 aberrantly expressed in 36.7% (11/30) of the tumor tissues of NSCLC compared with their adjacent cancer lung tissues. CCK8 analysis showed that overexpression of dlk1 could promote the proliferation of H520 cells (P < 0.05) and the results was further confirmed by colony forming assay. Western blot analysis found that over expression of dlk1 could up-regulate the expression of CyclinB1 (P < 0.05). Conclusion dlk1 aberrantly expressed in NSCLCs. The Overexpression of dlk1 could accelerate the proliferation of lung cancer cells H520 in vitro, probably through up-regulating the expression of cell cycle protein CyclinB1.
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