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Search Results: 1 - 10 of 33548 matches for " An Zheng-xi "
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New Taxa of Cruciferae
十字花科新植物

An Zheng-Xi,
安争夕

中国科学院研究生院学报 , 1985,
Abstract:
A NEW SPECIES OF TARAXACUM FROM XINJIANG
新疆蒲公英属一新种

Zhai Da-tong An Zheng-xi,
翟大彤
,安争夕

植物分类学报 , 1996,
Abstract: A new species,Taraxacum xinyuankum D. T. Zhai et Z. X. An from Xinjiang is described. The species is morphologically similar to T. offkinale and T. compoctum, but corollas of the species are glabrous and pappi are shorter than those in the latters. Besides, the comparison of size and abortive rate of pollen grains and chromosome number from 3 species is made in the paper.
A New Species of Taraxacum from Xinjiang
新疆蒲公英属一新种

Zhai Da-tong,An Zheng-xi,
翟大彤
,安争夕

中国科学院研究生院学报 , 1996,
Abstract:
A New Species of the Genus Hedinia Ostenf.(Cruciferae) from Xizang
藏荠属一新种

He Xue-li,An Zheng-xi,
贺学礼
,安争夕

中国科学院研究生院学报 , 1996,
Abstract:
Two New Species of Chinese Cheistolea
中国高原芥属二新种

Wu Yu-hu,An Zheng-xi,
吴玉虎
,安争夕

中国科学院研究生院学报 , 1994,
Abstract:
Urban Traffic Signal System Control Structural Optimization Based on Network Analysis
Li Wang,Xiao-ming Liu,Zhi-jian Wang,Zheng-xi Li
Mathematical Problems in Engineering , 2013, DOI: 10.1155/2013/706919
Abstract: Advanced urban traffic signal control systems such as SCOOT and SCATS normally coordinate traffic network using multilevel hierarchical control mechanism. In this mechanism, several key intersections will be selected from traffic signal network and the network will be divided into different control subareas. Traditionally, key intersection selection and control subareas division are executed according to dynamic traffic counts and link length between intersections, which largely rely on traffic engineers’ experience. However, it omits important inherent characteristics of traffic network topology. In this paper, we will apply network analysis approach into these two aspects for traffic system control structure optimization. Firstly, the modified C-means clustering algorithm will be proposed to assess the importance of intersections in traffic network and furthermore determine the key intersections based on three indexes instead of merely on traffic counts in traditional methods. Secondly, the improved network community discovery method will be used to give more reasonable evidence in traffic control subarea division. Finally, to test the effectiveness of network analysis approach, a hardware-in-loop simulation environment composed of regional traffic control system, microsimulation software and signal controller hardware, will be built. Both traditional method and proposed approach will be implemented on simulation test bed to evaluate traffic operation performance indexes, for example, travel time, stop times, delay and average vehicle speed. Simulation results show that the proposed network analysis approach can improve the traffic control system operation performance effectively. 1. Introduction Advanced urban traffic signal control systems normally use multilevel hierarchical control mechanism to simplify the network control process. In this mechanism, several key intersections of traffic network will be selected and the network will be divided into several control subareas in which the signal of intersections will be optimized according to the traffic states variation of key intersections. In 1971, Walinchus [1] firstly built the concept of “traffic control subarea.” Stockfisch [2], Pinell et al. [3] and Kell and Fullerton [4] proposed the guideline for computer signal system selection based on intersection traffic state analysis, road segment length, vehicle arrival rate, and so forth. Yagoda et al. [5] and Chang [6] defined the traffic control index and threshold value of algorithm for traffic control subarea division. However, they have not
Ground traffic simulation based on general trigger system
基于通用触发器系统的地面交通仿真

HE Lei,LIU Zheng-xi,GUAN Pan-liang,
贺雷
,刘正熙,毌攀良

计算机应用 , 2007,
Abstract: 通过分析地面交通仿真所面临的问题,构建了一个以车辆和虚拟交警为智能Agent的多Agent系统,并利用通用触发器模型解决多Agent之间的通信和协调问题,从而实现对地面交通的仿真。定量分析了引入虚拟交警和通用触发器模型后,系统通信过程中信息量的变化,同时设计了地面交通的实验模型对该仿真方法的有效性进行了验证。
A Routing Implementation Policy in Wireless Self-Organized Network
一种无线自组网的路由实现方法

XU Jie WEI Zheng-Xi XIA Meng-Qin,
徐洁
,魏正曦,夏梦芹

计算机科学 , 2004,
Abstract: Routing algorithm is one of the best important technologies in wireless self-organized network. This paper comes up with a routing strategy and a source routing selection algorithm based on destination node cover number. This routing strategy saves the precious wireless bandwidth and cuts down the traffic of network transmission.
Dendritic cell subsets dynamics and cytokine production in SIVmac239-infected Chinese rhesus macaques
Hou-Jun Xia, Gao-Hong Zhang, Jian-Ping Ma, Zheng-Xi Dai, Shao-You Li, Jian-Bao Han, Yong-Tang Zheng
Retrovirology , 2010, DOI: 10.1186/1742-4690-7-102
Abstract: The numbers of both mDC and pDC strongly fluctuated but were not significantly changed during the acute and chronic phases of infection. However, the concentration of both poly (I:C)-induced IL-12 and HSV-1-induced IFN-α significantly increased in the acute phase of infection but returned to normal levels at the chronic phase of infection. The peak of IFN-α emerged earlier than that of IL-12, and it had a significantly positive correlation with IL-12, which indicated that IFN-α may initiate the immune activation. We also found that only the concentration of IFN-α was positively correlated with CD4+ T-cell counts, but it was negatively correlated with viral load.High levels of IFN-α in the early stage of infection may contribute to effective control of virus replication, and normal levels of IFN-α during chronic infection may help Ch Rhs resist the disease progression. The change in DC subsets dynamics and cytokine production may help further our understanding of why Ch Rhs are able to live longer without progressing to an AIDS-like illness.Dendritic cells (DC) are a heterogeneous population of APC, essential in linking the innate and acquired immune response [1]. Two major DC subsets, CD11c+ myeloid DC (mDC) and CD123+ plasmacytoid DC (pDC), have been described in human [2] and non-human primates [3]. mDC play an important role in the acquired immune response by acquiring and processing viral antigens into peptides for major histocompatibility complex (MHC) presentation to T cells in secondary lymphoid organs [4]. As one of the DC precursors, pDC are located in blood and secondary lymphoid organs. They are specialized in rapidly secreting massive amounts of type 1 IFN following different viral (HIV, HSV-1) stimulations [5]. Then virus-activated pDC differentiate into a unique type of mature DC, which probably play a role in the initiation of the T-cell response in a manner similar to that of mDC [6]. Initially, mDC and pDC were thought to prime primarily type 1 and
Cross-layer optimization algorithm for wireless Mesh networks based on chance constrained programming
基于机会约束规划的无线Mesh网跨层优化算法

LI Ke-wei,LIU Bin,XU Zheng-xi,XU Zheng-guang,
李可维
,柳 彬,徐正喜,徐争光

计算机应用研究 , 2012,
Abstract: This paper proposed a stochastic model for joint optimal congestion control and power allocation in multi-radio multi-channel networks. It formulated the design problem as a network utility maximization subject to some constraints, which was a chance constrained programming. The model characterized the stochastic network flow and time-varying wireless environment in Mesh networks based on the stochastic network utility maximization. It used the genetic algorithm to solve the stochastic optimization problem. Simulations show that the results obtained by the chance constrained programming present the quantity relationship of network throughout, transmission power and link confidence level.
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