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ENERGETIC NUETUAL ATOM IMAGING OF THE EARTH''''S RING CURRENT REGION
环电流区中性原子观测特性模拟研究

SHEN TAO,<br>
地球物理学报 , 2003,
Abstract: 为了给双星计划中性原子(ENA)探测仪的研制提供可靠的理论依据,并为未来中性原子探测数据的分析及研究做好准备,针对双星轨道初步模拟计算了双星ENA探测仪对磁暴时中性原子的观测特性。建立了磁暴主相期间环电流离子分布的一个近似理论模式,并模拟计算了极轨卫星在极区上空、赤道面以及其他位置上对不同强度磁暴主相期间环电流区ENA空间角分布及能谱的观测结果。研究表明,存在环电流区方向和南北极区环电流粒子沉降带两个中性原子强度极大区域;磁暴越强烈,注入区高度越低,环电流区观测到的ENA通量越高;处于有利位置的ENA探测器可分辨注入区内国 或注入前沿;ENA探测器能够分辨环电流带离子分布的不均匀性;由于离子交换截面的差异,H,O,He3种ENA的能谱分布不同;在10-80keV能谱范围内通量较强,易于观测;环电流区H,O两种ENA通量较强,有利于观测;而环电流区He ENA通量很弱,不易于观测。模拟计算研究表明,双星极轨卫星能够对环电流区ENA进行有效探测;低纬轨道上的ENA探测器也能够对环电流区ENA进行一些观测;ENA探测器的研制应重视低、中能量范围ENA的探测。
我国学者对师范生反思能力研究综述
A Review of Chinese Scholars’ Studies on Reflective Competence of Normal Students
 [PDF]


Advances in Education (AE) , 2012, DOI: 10.12677/AE.2012.23010
Abstract: 师范生反思能力的培养日益受到学者的关注。本文主要对近十年来师范生反思能力培养的相关研究进行了综述,内容主要涉及师范生反思能力培养的背景与现状,概念与原则,条件与可行性,理论基础、影响因素和培养对策等方面。
Scholars pay more attention to reflective competence of normal students. This article summarizes reflective competence of normal students training from the perspectives over the past decade: the background and current situation, concepts and principles, conditions and feasibility, the theoretical foundation, influenc- ing factors and training strategy and so on.
3232/Rc10800预浸带的试制

材料工程 , 2001,
Abstract: 选择了3232树脂和Rc10800玻璃粗纱,研究了各浸渍工艺参数对预浸带质量的影响,并试制出合格产品。
环电流区中性原子观测特性模拟研究

地球物理学报 , 2003,
Abstract: 为了给双星计划中性原子(ENA)探测仪的研制提供可靠的理论依据,并为未来中性原子探测数据的分析及研究做好准备,针对双星轨道初步模拟计算了双星ENA探测仪对磁暴时中性原子的观测特性.建立了磁暴主相期间环电流离子分布的一个近似理论模式,并模拟计算了极轨卫星在极区上空、赤道面以及其他位置上对不同强度磁暴主相期间环电流区ENA空间角分布及能谱的观测结果.研究表明,存在环电流区方向和南北极区环电流粒子沉降带两个中性原子强度极大区域;磁暴越强烈,注入区高度越低,环电流区观测到的ENA通量越高;处于有利位置的ENA探测器可分辨注入区内边界或注入前沿;ENA探测器能够分辨环电流带离子分布的不均匀性;由于离子交换截面的差异,H,O,He3种ENA的能谱分布不同;在10~80keV能谱范围内通量较强,易于观测;环电流区H,O两种ENA通量较强,有利于观测;而环电流区HeENA通量很弱,不易于观测.模拟计算研究表明,双星极轨卫星能够对环电流区ENA进行有效探测;低纬轨道上的ENA探测器也能够对环电流区ENA进行一些观测;ENA探测器的研制应重视低、中能量范围ENA的探测.
A DESIGN OF ANTI-COLLISION ALGORITHM IN RFID SYSTEM
射频识别系统中的防碰撞算法设计

Shen Yuchao,Shen Shuqun,Fan Rong,Xu Daxiong,<br>,树群,王海波,徐大雄
电子与信息学报 , 1999,
Abstract: A new algorithm, concerned with the anti-collision used in recognition of transponders in RFID(Radio Frequency Identification) system is built and its stability condition is pointed out as well. The mathematical model works very well in computer simulation and has taken an important part in the design of RFID system.
Physically Based Real-time Animation of Interactive Garment
基于物理模型的交互式服装实时动画

SHEN Chao,SHEN Ming-xin,ZHAO Jie-yu,<br>,明炘,赵杰煜
中国图象图形学报 , 2007,
Abstract: In this paper,a new real-time interactive garment simulation based on physical model is proposed.The animation of interactive garment of moving body in real-time has always been a great challenge in the field of computer graphics because the computation of the garment model and collision detection is very lumping.In order to improve the performance,we firstly simplify the classical "particle-spring" model,and utilize the advantages of the processing separately of longitudinal and latitudinal restriction in "semi-rigid-complex pendulum" model;According to temporal and geometric coherence,we accelerate the collisions detection between the body and the garment because the collision detection is very local.The experimental results show that the computational complexity reduce rapidly and the movement of interactive garment can be simulated in real-time.
Metadata Design and Encoding of Electronic Reserves
电子教学参考资料的元数据方案的设计及编码*

Yin Shenqin Zhang Yuchao Ge Jiaxiang,<br>殷琴 张育,葛家翔
现代图书情报技术 , 2007,
Abstract: This paper introduces the electronic reserves system briefly,and analyzes the characteristic of electronic reserves,then implements the design and encoding of metadata of electronic reserves system,using DC education to create simple object and METS to create complex object.Based on OMI-PMH,this system links to academic reserves management and service system of CALIS.
Application of the Fuzzy Rule Algorithm in the Classification of Educational Information
模糊规则算法在教育信息分类中的应用

Liang Wenchao Xu Chaojun Shen Shusheng,<br>梁文,徐朝军,书生
现代图书情报技术 , 2011,
Abstract: Because of the fact that the introductions of primary and secondary schools have less feature items and unequal weights, the authors use the strategies of denoising, processing synonym features based on fuzzy set to build category vocabularies, and then classify short texts using the classification model which is based on category vocabularies and fuzzy rules. The results show that using fuzzy rules to classify the short texts which have less feature items and uneven distribution of weight is better than VSM, Rocchio and other classification algorithms.
Life table of natural Bemisia tabaci population on cucumber plants in different seasons
不同季节黄瓜上烟粉虱自然种群生命表研究

SHEN Binbin,CHEN Chao,REN Shunxiang,<br>斌斌,,任顺祥
应用生态学报 , 2005,
Abstract: The study showed that in the early growth stage of cucumber in spring,the predation on Bemisia tabaci egg was the key factor for controlling B.tabaci population,and the exclusion index of population control was 1.7333.In the late growth stage of cucumber in spring,summer and autumn,the predation on B.tabaci elder nymph was the critical factor for controlling B.tabaci population,and the exclusion index of population control was 4.5372,4.0429 and 7.9021,respectively.From spring to autumn,the index of population development trend was decreased from 21.0610 to 5.8523,because of the increasing controlling effect of the predators,and the exclusion index of population control was from 4.0560 to 17.8662.
A Context Tree Kernel Based on Latent Semantic Topic
一种面向隐含主题的上下文树核

Xu Chao Zhou Yi-min Shen Lei,<br>徐,周一民,
电子与信息学报 , 2010,
Abstract: The lack of semantic information is a critical problem of context tree kernel in text representation. A context tree kernel method based on latent topics is proposed. First, words are mapped to latent topic space through Latent Dirichlet Allocation(LDA). Then, context tree models are built using latent topics. Finally, context tree kernel for text is defined through mutual information between the models. In this approach, document generative models are defined using semantic class instead of words, and the issue of statistic data sparse is solved. The clustering experiment results on text data set show, the proposed context tree kernel is a better measure of topic similarity between documents, and the performance of text clustering is greatly improved.
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