为直观起见,本要求最附有范例.
英文来稿必须包括英文标题,英文作者名和单位名,英文摘要,英文关键词,中图分类号,正文,参考文献,中文标题,中文作者名和单位名,中文摘要,中文关键词等部分,并建议按此顺序书写.
1. 文章标题 英文标题一般在10个实词以内,最多不超过15个实词,避免使用非公知公用的缩略词,代号等.
2. 作者简介 作者真实姓名,作者单位全称,所在城市,邮编;如有多名作者,在每一作者姓名右上角依次标出与作者单位相对应的序号,如: CHUN Yu 1, DONG Xiao-xue2 (1.Department of Electronic Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081,China; 2. School of Mechatronic Engineering, Beijing Institute of Technology, Beijing 100081,China).中国作者姓名用汉语拼音,姓前名后,姓氏全部字母大写,复姓应连写;名字首字母大写,双名中间加连字符.如:ZHANG Ying-hui.单位名的英译名应为完整的,正规的名称,一般不用缩写.于文章首页地脚处注明第一作者的姓名,出生年,性别,学历,E-mail信箱等.
3. 论文如有涉密问题或已在公开期刊上发表,请在篇首页地脚处注明.
4. 摘要 英文摘要一般为150-180个实词,中文摘要一般在300字以内,中英文摘要应基本一致.其内容应包括研究目的,方法,结果,结论等,禁用"本文","作者","This paper"等作主语.详见"科技期刊文章摘要的写作要求".
5. 关键词 每篇文章可选3～8个能反映文章主要内容的单词,词组或术语.英文关键词应与中文关键词相对应.
6.中图分类号 请查《中国图书馆分类法》.
7. 正文 正文篇幅一般希望控制在成书5页(记空格,图表占位)以内.内容力求有创新,论证严谨,语句通顺,文字精炼.
8.文中正体,斜体,黑体字符的用法:
⑴斜体.变量名称用斜体单字母表示;下标若是由变量转化来的则用斜体;坐标轴(如x,y)和变量(如i,j)用斜体.
⑵正体.下标由文字转化来的说明性字符用正体;单位,词头用正体,如nm,pF等;几个特殊常量用正体,如e,i,π等.
⑶黑体.矩阵,矢量名称用黑体表示.
9.图形要求
图中所有线条,文字必须用黑色绘制;用线形或标识符区分;不得有背景;
图中线条须清晰,均匀,刻度线向内侧画,并且间隔应均匀;
图中坐标线粗0.5磅,曲线宽度为坐标线宽度的3倍;
10.表格要求 表格采用三线表,表头中使用物理量符号/单位,如下例:
x/cm
I/mA
v/(m·s-1)
h/m
p/MPa
10
30
2.5
4
110
11.参考文献 来稿引用他人观点与材料,须将参考文献按正文中出现的先后次序列于文后,文中须在引用处右上角加注"[序号]".中文参考文献必须列出相应的英文,并在后面加注"(in Chinese)".引文作者姓名均为姓前名后,最多标3名,余下用"et al."代表.
著录格式为:(按不同析出物分类说明)
[连续出版物] 主要作者.题名[J] .刊名,年,卷(期):起止页码.
[专著] 主要作者.书名[M] .出版地(城市名):出版者,出版年.起止页码.
[译著] 主要作者.书名[M] .译者.出版地(城市名):出版者,出版年.起止页码.
[论文集] 主要作者.题名[A] .编者.论文集名[C] .出版地(城市名):出版者,出版年.起止页码.
[会议论文] 主要作者.题名[Z] .会议名称,会议召开地(城市名),召开年.
[学位论文] 作者.题名[D] .所在城市:保存单位,年份.
[研究报告] 主要作者.题名[R] .报告代码及编号(或:保存地点:责任单位),年份.
[报纸] 作者名.文章名[N].报纸名,出版日期(版次).
[电子文献] 作者.题名[EB/OL] .http://………,发表或更新日期/引用日期.
[专利] 申请者.专利名[P] .专利国名:专利号,发布日期.
[技术标准] 技术标准代号,技术标准名称[S] .
投稿模拟样本
New Imaging Spectrometric Method for Rotary Object
CHUN Yu 1, DONG Xiao-xue2
Department of Electronic Engineering, School of Information Science
and Technology, Beijing Institute of Technology, Beijing 100081,
China; 2. School of Mechatronic Engineering, Beijing
Institute of Technology, Beijing 100081,China)
Abstract: A new technique for imaging spectrometer for rotary object based on
computed-tomography is proposed. A discrete model of this imaging spectrometric
system is established, which is accordant to actual measurements and convenient
for computation. In computer simulations with this method, projections of the
object are detected by CCD while the object is rotating, and the original spectral
images are numerically reconstructed from them by using the algorithm of
computed-tomography. Simulation results indicate that the principle of the method
is correct and it performs well for both broadband and narrow-band spectral
objects.
Key words: aerodynamic characteristics; stealth characteristics; numerical calculation; polarization
CLC number:TP374.2
引言(不编入章节号)
**************************************************************************************************************************************************************
1 ******************
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1.1.1 *****************
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****************************************************************************************************************************************************************************************************************************************************************************************************************************
(1)
该论文为涉密论文,不宜公开张贴或发表
该论文已公开发表
Biography CHUN Yu(1963—),professor,Ph.D., abcd@sina.com.
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n
f0/MHz
R/Ω
VSWR
BW/%
L/cm
line
955
36.4
1.36
15.4
7.0
0
804
30.7
1.56
22.0
7.0
1
750
27.8
1.73
17.3
8.6
2
706
23.6
2.0
12.7
10.2
3
670
21.6
2.17
9.4
11.8
4
642
20.1
2.37
6.38
13.4
References:
Sch lkopf B, Burges C J C, Smola A J. Advances in kernel methods – Support vector learning [M]. Cambridge,MA: MIT Press, 1999.
Hearst M A, Sch lkopf B, Dumais S, et al. Trends and controversies – Support vector machines [J]. IEEE Intelligent Systems, 1998,13(4):18-28.
Eric C. Hacker's attack analyze and defense[M]. Su Lei transl. Beijing: Publishing House of Electronics Industry,2002.
Burges C J C. Geometry and invariance in kernel based methods[A]. Burges C, Smola A. Advance in Kernel Methods—Support Vector Learning[C]. Cambridge, MA: MIT Press,1999.
Cun L Y, Jackel L D, Bottou L, et al. Comparison of learning algorithms for handwritten digit recognition [Z]. ICANN'95, Nanterre, France, 1995.
Chang C C, Lin C J. LIBSVM: A library for support vector machines [EB/OL]. http://www.csie.ntu.edu.tw/~cjlin/libsvm, 2001-06-19/2002-03-10.
Swanson R S, Musa S. The estimation of obstacle and terrain clobber probabilities[R]. AIAA 75-1118,1975.
Young S, Kershaw D, Odell J, et al. The HTK Book (version 3.0) [R]. Cambridge: University of Cambridge Press, 2000.
GJB 736.8-90, Method of initiating explosive device test, accelerated life test, method of the test at 71℃[S]. (in Chinese)
White S A. Tracking filter and quadrature-phase reference generator[P].USP: 5491725,1996-01-13.
Jia Yubin. A study on micro quartz angular rate sensor[D]. Beijing: Department of Optical Engineering, Beijing Institute of Technology,1999. (in Chinese)
Fig. 1 The dual meander line monopole antenna
b
b
β
h1
h2
α
w
d
Fig.2 Flow chart of simulation for standing start acceleration process
end
establishing model
check
data correct
adjusting
importing data
calculating
adjusting
data being correct
adding the trunk
calculating results
Y
Y
N
Y
N
N
Fig.3 Regression residual error vs. time
Tab.1 Resonant parameters for different n |
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