30th International Conference of Data Protection and Privacy Commissioners

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时序数据的异常检测可视化综述

时序数据的异常检测可视化综述

时序数据的异常检测可视化综述1介绍时序数据被定义为一系列基于一个准确时间测量的结果,时间间隔通常是规律的[1]。

例如按照一定时间间隔统计到的排名数据,实时检测的传感器数据,社交网络中每天的转发回复数据。

对于时序数据的分析在今天越来越广泛的应用在科学,工程,和商业领域,可视化帮助人们利用感知减少认知负荷进而理解数据[2]。

长期以来,可视化也已经成功的被应用在对于时序数据的分析中来[3]。

例如社交媒体[4],城市数据[5],电子交易[6],时序排名[7]。

在不同领域的时序数据中发现重要的特征和趋势的日益增长的需求刺激了许多可视交互探索工具的发展[8]:Line Graph Explore[9],LiveRAC[2],SignalLens[10]和Data Vases[11]等。

时序数据的可视分析任务中,包括特征提取[14],相关性分析和聚类[7],模式识别[9],异常检测[10]等。

而异常检测在不同的研究领域都是一个重要的问题,异常检测表示发现数据中不符合预期行为的模式[12]。

异常检测的目的是找到某些观察结果,它与其他的观察结果有很大的偏差,以至于引起人们怀疑它是由不同的机制产生的[17]。

对应到不同的领域中,网络安全中的异常表示网络设备异常或者可疑的网络状态[13]。

情感分析中的异常表示一组数据中反常的观点,情绪模式,或者产生这些模式的特殊时间[16]。

社交媒体中的异常可以是反常的行为,例如识别网络机器人[20],反常的传播过程,例如谣言的传播[19]。

这些异常信息或模式的产生原因,可能是会影响日常生活,社会稳定的因素,例如电脑侵入,社交机器人,道路拥堵状况等。

提早发现识别这些异常有助于及时找到产生原因和实际状况,从而进一步分析或解决问题。

异常检测已经有许多成熟的方法,而且在机器学习领域也引起了广泛的关注[12],包括有监督[21]和无监督的异常检测方法[22]。

自动化的学习算法通常基于这样的假设,即有充足的训练数据可用,同时这些数据理应是正常的行为,否则,正常的学习模型不能把新的观测结果按照异常来进行分类,很有可能新的观测数据是不常见的正常事件[25],但当涉及到人工标注数据的问题时,往往需要大量的数据,费事费力,难以获取,同时又十分依赖于主观认为的判断,这些极大地影响了最后的分析结果质量[20]。

玻璃纤维铝合金层板(FMLs)的疲劳损伤特性及S-N曲线

玻璃纤维铝合金层板(FMLs)的疲劳损伤特性及S-N曲线

玻璃纤维铝合金层板(FMLs)的疲劳损伤特性及S-N曲线马玉娥;王博;熊晓枫【摘要】根据国内外标准和参考文献,针对玻璃纤维增强铝合金层板(FMLs)的特点设计出FMLs疲劳试验件,进行了不同载荷下的R=0.1等幅拉-拉疲劳试验.疲劳试验过程中FMLs最先在表面铝层内出现裂纹,随后表面铝层可见多条裂纹.随着循环载荷数的增加,裂纹不断扩展,并在界面出现分层现象,然后分层损伤快速扩展直至完全断裂破坏.测得了FMLs的疲劳裂纹起裂寿命和裂纹扩展寿命,给出了其疲劳寿命的规律性.得到了FMLs和同样厚度碳纤维复合材料CCF300的S-N曲线,并进行了对比.FMLs的疲劳寿命随载荷变化平缓,近似成对数趋势;在载荷大于400 MPa时FMLs的疲劳寿命与CCF300碳纤维复合材料层板相当;当疲劳载荷最大值低于300 MPa,FMLs的疲劳寿命比CCF300复材板要低.为飞机结构设计师们提供了材料基础性能和信息.【期刊名称】《西北工业大学学报》【年(卷),期】2016(034)002【总页数】5页(P222-226)【关键词】玻璃纤维增强铝合金层板;疲劳裂纹起裂寿命;裂纹扩展寿命;分层扩展;S-N曲线【作者】马玉娥;王博;熊晓枫【作者单位】西北工业大学航空学院118号,陕西西安 710072;西北工业大学航空学院118号,陕西西安 710072;中航工业成都飞机设计研究所,四川成都 610041【正文语种】中文【中图分类】V215.5材料的疲劳性能是飞机结构设计选材考察的重点之一。

为克服传统铝合金结构疲劳性能相对较差的问题,同时充分利用复合材料对疲劳载荷不敏感的特性,国外研究者提出了金属和复合材料的混杂材料。

根据金属和复合材料的不同,研制出不同的纤维增强合金层合板类型,如第一代的Arall(aluminum with aramid fibers)是由铝合金层和芳纶纤维交替组成,CARALL(aluminum with carbon fibres)由铝合金和碳纤维组成,GLARE(aluminum with glass fibers)是由铝合金和玻璃纤维组成,还有最近发展由钛合金和碳纤维组成的TiGr(titanium with carbon fibers)和由镁合金和玻璃纤维组成的MgFML(magnesium with glass fibers)。

人脸表情识别英文参考资料

人脸表情识别英文参考资料

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Electronics Letters 2007, 43(17): 916 - 918[J23]Zhang L, Tjondronegoro D. Facial Expression Recognition Using Facial Movement Features. IEEE Transactions on Affective Computing, 2011, pp(99): 1[J24] Zafeiriou S, Pitas I. Discriminant Graph Structures for Facial Expression Recognition. Multimedia, IEEE Transactions on 2008,10(8): 1528 - 1540[J25]Oliveira L, Mansano M, Koerich A, de Souza Britto Jr. A. Selecting 2DPCA Coefficients for Face and Facial Expression Recognition. Computing in Science & Engineering, 2011, pp(99): 1[J26] Chang K.I, Bowyer W, Flynn P.J. Multiple Nose Region Matching for 3D Face Recognition under Varying Facial Expression. Pattern Analysis and Machine Intelligence, IEEE Transactions on2006, 28(10): 1695 - 1700[J27] Kakadiaris I.A, Passalis G, Toderici G, Murtuza M.N, Yunliang Lu, Karampatziakis N, Theoharis T. Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(4): 640 - 649[J28] Guoying Zhao, Pietikainen M. Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(6): 915 - 928[J29] Chakraborty A, Konar A, Chakraborty U.K, Chatterjee A. Emotion Recognition From Facial Expressions and Its Control Using Fuzzy Logic. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 2009, 39(4): 726 - 743 [J30] Pantic M, RothkrantzL J.M. Facial action recognition for facial expression analysis from static face images. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2004, 34(3): 1449 - 1461[J31] Calix R.A, Mallepudi S.A, Bin Chen, Knapp G.M. Emotion Recognition in Text for 3-D Facial Expression Rendering. IEEE Transactions on Multimedia, 2010, 12(6): 544 - 551[J32]Kotsia I, Pitas I, Zafeiriou S, Zafeiriou S. Novel Multiclass Classifiers Based on the Minimization of the Within-Class Variance. IEEE Transactions on Neural Networks, 2009, 20(1): 14 - 34[J33]Cohen I, Cozman F.G, Sebe N, Cirelo M.C, Huang T.S. Semisupervised learning of classifiers: theory, algorithms, and their application to human-computer interaction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(12): 1553 - 1566[J34] Zafeiriou S. Discriminant Nonnegative Tensor Factorization Algorithms. IEEE Transactions on Neural Networks, 2009, 20(2): 217 - 235[J35] Zafeiriou S, Petrou M. Nonlinear Non-Negative Component Analysis Algorithms. IEEE Transactions on Image Processing, 2010, 19(4): 1050 - 1066[J36] Kotsia I, Zafeiriou S, Pitas I. A Novel Discriminant Non-Negative Matrix Factorization Algorithm With Applications to Facial Image Characterization Problems. IEEE Transactions on Information Forensics and Security, 2007, 2(3): 588 - 595[J37] Irene Kotsia, Stefanos Zafeiriou, Ioannis Pitas. Texture and shape information fusion for facial expression and facial action unit recognition . Pattern Recognition, 2008, 41(3): 833-851[J38]Wenfei Gu, Cheng Xiang, Y.V. Venkatesh, Dong Huang, Hai Lin. Facial expression recognition using radial encoding of local Gabor features and classifier synthesis. Pattern Recognition, In Press, Corrected Proof, Available online 27 May 2011[J39] F Dornaika, E Lazkano, B Sierra. Improving dynamic facial expression recognition with feature subset selection. Pattern Recognition Letters, 2011, 32(5): 740-748[J40] Te-Hsun Wang, Jenn-Jier James Lien. Facial expression recognition system based on rigid and non-rigid motion separation and 3D pose estimation. Pattern Recognition, 2009, 42(5): 962-977[J41] Hyung-Soo Lee, Daijin Kim. Expression-invariant face recognition by facialexpression transformations. Pattern Recognition Letters, 2008, 29(13): 1797-1805[J42] Guoying Zhao, Matti Pietikäinen. Boosted multi-resolution spatiotemporal descriptors for facial expression recognition . Pattern Recognition Letters, 2009, 30(12): 1117-1127[J43] Xudong Xie, Kin-Man Lam. Facial expression recognition based on shape and texture. Pattern Recognition, 2009, 42(5):1003-1011[J44] Peng Yang, Qingshan Liu, Dimitris N. Metaxas Boosting encoded dynamic features for facial expression recognition . Pattern Recognition Letters, 2009,30(2): 132-139[J45] Sungsoo Park, Daijin Kim. Subtle facial expression recognition using motion magnification. Pattern Recognition Letters, 2009, 30(7): 708-716[J46] Chathura R. De Silva, Surendra Ranganath, Liyanage C. De Silva. Cloud basis function neural network: A modified RBF network architecture for holistic facial expression recognition. Pattern Recognition, 2008, 41(4): 1241-1253[J47] Do Hyoung Kim, Sung Uk Jung, Myung Jin Chung. Extension of cascaded simple feature based face detection to facial expression recognition. Pattern Recognition Letters, 2008, 29(11): 1621-1631[J48] Y. Zhu, L.C. De Silva, C.C. Ko. Using moment invariants and HMM in facial expression recognition. Pattern Recognition Letters, 2002, 23(1-3): 83-91[J49] Jun Wang, Lijun Yin. Static topographic modeling for facial expression recognition and analysis. Computer Vision and Image Understanding, 2007, 108(1-2): 19-34[J50] Caifeng Shan, Shaogang Gong, Peter W. McOwan. Facial expression recognition based on Local Binary Patterns: A comprehensive study. Image and Vision Computing, 2009, 27(6): 803-816[J51] Xue-wen Chen, Thomas Huang. Facial expression recognition: A clustering-based approach. Pattern Recognition Letters, 2003, 24(9-10): 1295-1302 [J52] Irene Kotsia, Ioan Buciu, Ioannis Pitas. An analysis of facial expression recognition under partial facial image occlusion. Image and Vision Computing, 2008, 26(7): 1052-1067[J53] Shuai Liu, Qiuqi Ruan. Orthogonal Tensor Neighborhood Preserving Embedding for facial expression recognition. Pattern Recognition, 2011, 44(7):1497-1513[J54] Eszter Székely, Henning Tiemeier, Lidia R. Arends, Vincent W.V. Jaddoe, Albert Hofman, Frank C. Verhulst, Catherine M. Herba. Recognition of Facial Expressions of Emotions by 3-Year-Olds. Emotion, 2011, 11(2): 425-435[J55] Kathleen M. Corcoran, Sheila R. Woody, David F. Tolin. Recognition of facial expressions in obsessive–compulsive disorder. Journal of Anxiety Disorders, 2008, 22(1): 56-66[J56] Bouchra Abboud, Franck Davoine, Mô Dang. Facial expression recognition and synthesis based on an appearance model. Signal Processing: Image Communication, 2004, 19(8): 723-740[J57] Teng Sha, Mingli Song, Jiajun Bu, Chun Chen, Dacheng Tao. Feature level analysis for 3D facial expression recognition. Neurocomputing, 2011,74(12-13) :2135-2141[J58] S. Moore, R. Bowden. Local binary patterns for multi-view facial expression recognition . Computer Vision and Image Understanding, 2011, 15(4):541-558[J59] Rui Xiao, Qijun Zhao, David Zhang, Pengfei Shi. Facial expression recognition on multiple manifolds. Pattern Recognition, 2011, 44(1):107-116[J60] Shyi-Chyi Cheng, Ming-Yao Chen, Hong-Yi Chang, Tzu-Chuan Chou. Semantic-based facial expression recognition using analytical hierarchy process. Expert Systems with Applications, 2007, 33(1): 86-95[J71] Carlos E. Thomaz, Duncan F. Gillies, Raul Q. Feitosa. Using mixture covariance matrices to improve face and facial expression recognitions. Pattern Recognition Letters, 2003, 24(13): 2159-2165[J72]Wen G,Bo C,Shan Shi-guang,et al. The CAS-PEAL large-scale Chinese face database and baseline evaluations.IEEE Transactions on Systems,Man and Cybernetics,part A:Systems and Hu-mans,2008,38(1):149-161.[J73] Yongsheng Gao,Leung ,M.K.H. Face recognition using line edge map.IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24:764-779. [J74] Hanouz M,Kittler J,Kamarainen J K,et al. Feature-based affine-invariant localization of faces.IEEE Transactions on Pat-tern Analysis and Machine Intelligence,2005,27:1490-1495.[J75] WISKOTT L,FELLOUS J M,KRUGER N,et al.Face recognition by elastic bunch graph matching.IEEE Trans on Pattern Analysis and Machine Intelligence,1997,19(7):775-779.[J76] Belhumeur P.N, Hespanha J.P, Kriegman D.J. Eigenfaces vs. fischerfaces: recognition using class specific linear projection.IEEE Trans on Pattern Analysis and Machine Intelligence,1997,15(7):711-720[J77] MA L,KHORASANI K.Facial Expression Recognition Using Constructive Feedforward Neural Networks. IEEE Transactions on Systems, Man and Cybernetics, Part B,2007,34(3):1588-1595.[J78][J79][J80][J81][J82][J83][J84][J85][J86][J87][J88][J89][J90]4、英文学位论文[D1]Hu Yuxiao. Three-dimensional face processing and its applications in biometrics:[Ph.D dissertation]. USA,Urbana-Champaign: University of Illinois, 2008。

计算机科学重要国际会议

计算机科学重要国际会议

1.2计算机科学与技术重要国际学术会议一、A类会议二、B类会议1.3自动化重要国际学术会议一、A类会议二、B类会议数据挖掘相关的权威期刊和会议-----------------------------------------------[Journals]1.ACM Transactions on Knowledge Discovery from Data (TKDD)2.IEEE Transactions on Knowledge and Data Engineering (TKDE)3.Data Mining and Knowledge Discovery4.Knowledge and Information Systems5.Data & Knowledge Engineering[Conferences]1.SIGMOD:ACM Conference on Management of Data (ACM)2.VLDB:International Conference on Very Large Data Bases (Morgan Kaufmann/ACM)3.ICDE:IEEE International Conference on Data Engineering (IEEE Computer Society)4.SIGKDD:ACM Knowledge Discovery and Data Mining (ACM)5.WWW:International World Wide Web Conferences (W3C)6.CIKM:ACM International Conference on Information and Knowledge Management (ACM)7.PKDD:European Conference on Principles and Practice of Knowledge Discovery in Databases (Springer-Verlag LNAI)JournalsACM TKDD /DMKD/content/1573-756X/?p=859c3e83455d41679ef1be783 e923d1d&pi=0IEEE TKDE /organizations/pubs/transactions/tkde.htm ACM TODS /tods/VLDB Journal /ACM Tois /pubs/tois/ConferencesSigKDD /ICDM /~icdm/SDM /meetings/sdm08/PKDD /VLDB /SigMod /sigmod/ICDE http://www.ipsi.fraunhofer.de/tcde/conf_e.htmlWWW /conferencesOnline Resources网址集合/Computers/Software/Databases/Data_Mining// A google co-op search engine for Data Mining/coop/cse?cx=006422944775554126616%3Aixcd3tdxkke Data Mining, University of Houston/boetticher/CSCI5931%20Data%20Mining.htmlData Mining Program, University of Central Florida / Data Mining Group, University of Dortmundhttp://www-ai.cs.uni-dortmund.de/index.htmlData Mining, MIT OCW/OcwWeb/Sloan-School-of-Management/15-062Data-MiningSpri ng2003/CourseHome/Data Mining Group, Tsinghua /dmg.html KDD oral presentations video Data Mining Events Feed /DataMiningEvents ToolsWeka /ml/weka/Rapid Miner(Yale) /content/view/3/76/lang,en/IlliMine /Alpha Miner http://www.eti.hku.hk/alphaminerPotter's Wheel A-B-C /abc/。

2013年信号处理、图像处理国际会议 International Conferences on Signal Processing, Image Processing

2013年信号处理、图像处理国际会议 International Conferences on Signal Processing, Image Processing
Conference Dates: Sep. 15-18, 2013
International Journal of Advancements in Computing Technology, Jan. 30, 2013
2013 The 4th International Conference on Intelligent Control and Information Processing (ICICIP2013)
Website: /cvpr13/home.html
Venue/Country: Portland, Oregon / USA
Submission Deadline:Nov. 15, 2012
Conference Dates: Jun. 23-28, 2013
Website:
Venue/Country: Kingston / Canada
Submission Deadline: Jan. 6, 2013
Conference Dates: May 6-8 2013
2013 International Conference on Image Processing (ICIP2013)
2013 China-Ireland International Conference on Information and Communications Technologies (CIICT2013)
Website:
Venue/Country: Beijing / China
Website: /icicip2013/
Venue/Country: Beijing / China
Submission Deadline: Feb. 1, 2013

国际会议级别

国际会议级别

Asian Control Conference (ASCC)
European Association for Signal Processing 18.
(EURASIP)
European Signal Processing Conference (EUSIPCO)
19. European Graphics Society
The Optoelectronics and Communications Conference (OECC)光電與通訊工程國際研討會
International Symposlum on Growth of
19. Association for "Optoelectronics Frontier by Nitride Ⅲ-Nitrides(ISGN)三族氮基半導體生長國際研討
23. European Union Control Association (EUCA)
European Control Conference (ECC)
Innovative Computing, Information and Control 24.
(ICIC)
International Symposium on Intelligent Informatics (ISII)
6. Society (WSEAS)
八)
Administered by UCMSS Universal Conference The International Conference on e-Learning,
7. Management Systems & Support/The University of e-Business, Enterprise Information Systems, and

分类染色体数据集(Chromosome Data Set for Classification)

分类染色体数据集(Chromosome Data Set for Classification)

Details: The single chromosome images are manually segmented end
classified by expert citologists from 119 cells of both normal and pathological subjects. Single chromosome images images, [.zip] [size: ~10.5 MB] folders (cells) each containing 46 chromosomes. All chromosomes i.e. are rotated grouped into 119 5.474 single chromosome
分类染色体数据集(Chromosome Data Set for Classification)
数据介绍:
The single chromosome images are manually segmented end classified by expert citologists from 119 cells of both normal and pathological sults dataset
request material data
that
any
reporting from it this by
using
acknowledges
quoting the following publication:
E. Poletti, E. Grisan and A. Ruggeri. Automatic classification of chromosomes in Q-band
images. 30th Annual International Conference of the IEEE-EMBS, Vancouver, British Columbia,

TE11模式增强型高效率同轴虚阴极振荡器

TE11模式增强型高效率同轴虚阴极振荡器
在系统设计中人为引入阴阳极结构的不对称性( 图 6( a))、非角向均匀阴极设计( 图 6( b))以及采用 TE11 模式反馈器[3(] 图 6( c))均可以起到增强电子束与 TE11 模式耦合效率的作用。
基于上述实验参考结构,在 MC-55 脉冲强流电子束加速器上进行了 TE11 模式增强型同轴虚阴极振荡器实 验。该加速器输出电压调节范围为 400 ~ 700 kV,传输线阻抗为 10 Ω,输出电子束脉冲宽度约 55 ns。辐射场 微波功率密度采用无源半导体 HPM 探测器测量,总辐射功率由辐射场积分方法给出。由于系统工作频率在 2 ~ 3 GHz 范围内,所以输出微波脉冲可以由高速示波器直接测量获得。在实验中获得了上述结构下的辐射场 功率分布与阴阳极近似严格同轴结构下的辐射场分布。实验中获得的阴阳极非同轴结构稳定输出微波波形如 图 7 所示,阴阳极同轴与非同轴结构下的辐射场功率密度分布由图 8 给出。
在虚阴极振荡器中,为了获得高效率的 HPM 输出,必须抑制器件中的模式竞争。而对于同轴虚阴极振荡 器来说,首先需要确定系统的工作主模式,然后通过改进器件结构来抑制一种模式而增强另外一种模式与电子 束的互作用,从而达到提高效率的目的。
1 同轴虚阴极振荡器中电子束-波互作用结构模式分析
为了抑制模式竞争作用对同轴虚阴极振荡器效率的影响,在同轴虚阴极振荡器中工作模式一般选择为
图 2 TM01 与 TE11 模式在归一化场强比下的增益曲线
归一化阳极处 TE11 模式的角向电场标量平均值与 TM01 电场,则有
J(1 2. 405)Eext0-TM01
=
2 π
J(1
1
.
841
)E ext0-TE11
(3)
式中 J1 为一阶 Bessel 函数,化简上式,得

EI认定会议目录

EI认定会议目录
STOC
ACM计算理论年会
27
ACMConferenceonComputerand
CommunicationsSecurity
CCS
ACM计算机与通信安全会议
28
ACMSIGACT-SIGPLANSymposiumon
PrinciplesofProgrammingLanguages
POPL
ACM程序语言理论会议
74
Conference on Instrumentation and Measurement Technology
仪器与测量技术会议
75
Conference on Small Satellite Technology and Applications
ACM SIGGRAPH
ACM计算机图像与交互技术国际会议与展览(包括亚洲区大会)
25
ACM Special Interest Group on Data Communication Conference
SIGCOMM
ACM数据通讯会议
26
ACM Symposium on Theory of Computing
SIGKDD
知识发现与数据挖掘国际会议
23
The ACM SIGCHI Conference on Human Factors in Computing Systems
CHI (ACM SIGCHI)
国际人机交互大会
24
ACM SIGGRAPH (and ACM SIGGRAPH ASIA) International Conference and Exhibition on Computer Graphics and Interactive techniques

数据挖掘主要会议

数据挖掘主要会议

数据挖掘主要会议数据挖掘作为一种数据分析技术,已经被广泛应用于各个领域。

为了推进数据挖掘技术的发展,促进学术界和工业界的交流与合作,许多国际知名的数据挖掘会议相继出现。

下面,我们将介绍其中几个重要的数据挖掘主要会议。

一、KDDKDD全称为Knowledge Discovery and Data Mining,即知识发现与数据挖掘国际会议。

这是数据挖掘领域的最重要国际会议之一,每年都会吸引来自全球的学者、工程师和领域内的专家参会。

自1995年起,KDD会议已经连续举办了近20年,是数据挖掘领域最具影响力和知名度的活动之一。

早年的KDD重点在机器学习、数据挖掘等方面,随着人工智能、大数据等技术的兴起,会议的内容也逐步扩展到了语音识别、自然语言处理、计算机视觉等更广泛的领域。

KDD已经成为了全球数据挖掘领域交流与合作的重要平台。

二、ICDMICDM全称为International Conference on Data Mining,即国际数据挖掘会议。

ICDM于1999年成立,目前已经发展成为了一项领先的和最具影响力的数据挖掘会议之一。

ICDM以其高水平的会议论文和高质量的会议出版物著称,每年会邀请世界各地的知名学者和业界专家来参与,共同研究数据挖掘等相关技术的新进展。

ICDM旨在为学者提供一个广泛的交流平台,促进数据挖掘技术的发展,使之更好地应用于实际应用中,为各领域的研究和发展做出贡献。

三、SDMSDM全称为SIAM International Conference on Data Mining,即国际工业与应用数学学会数据挖掘国际会议。

SDM旨在将学术界和工业界结合起来,发展数据挖掘技术并探寻新的应用场景。

SDM关注的是数据挖掘技术在工业和商业应用中的实际效果,因此它的论文选择也更加倾向于数据挖掘技术的实用性。

每年的SDM会议都会吸引来自不同领域的学者和业界专家齐聚一堂,共同探讨如何将数据挖掘技术应用于面对实际问题的商业和工业场景中,不断推动数据挖掘领域的发展和进步。

各学科重要国际会议目录

各学科重要国际会议目录

建筑学院重要国际学术会议一、A类会议
二、B类会议
土木水利学院土木工程系重要国际学术会议一、A类会议
二、B类会议
土木水利学院建设管理系重要国际学术会议一、A类会议
二、B类会议
土木水利学院水利水电工程系重要国际学术会议一、A类会议
二、B类会议
环境科学与工程系重要国际学术会议一、A类会议
二、B类会议
机械工程系重要国际学术会议一、A类会议
二、B类会议
精仪系机械工程学科重要国际学术会议一、A类会议
二、B类会议
精仪系仪器科学与技术学科重要国际学术会议一、A类会议
二、B类会议
精仪系光学工程学科重要国际学术会议一、A类会议
二、B类会议
热能工程系重要国际学术会议一、A类会议
二、B类会议
汽车工程系重要国际学术会议一、A类会议
二、B类会议
工业工程系重要国际学术会议一、A类会议
二、B类会议
电机系重要国际学术会议一、A类会议
二、B类会议
电子工程系电子科学与技术一级学科重要国际学术会议汇总一、A类会议
二、B类会议。

NHR1100单路数字显示参数指示器设计说明书

NHR1100单路数字显示参数指示器设计说明书

Design of NHR1100 single loop digital display parameter indicator basedon LabviewFujun LiInstruments and Apparatuses Department, Liaoning Jidian Polytechnic, Dandong City, Liaoning Province 118009,China Zhenxing District, Dandong City, Liaoning Province, Yang He 30th Street*******************Keywords:Labview; NHR1100; Parameters; Indicator;Designing MODBUS communication protocol and Labview software platform, through the RS485 communication interface, the display method of NHR1100 single loop digital display function parameters are described in detail according to the serial communication parameter setting device, then realizing the centralized management of digital display control instrument parameters and visual interface.IntroductionNHR1100 series single loop digital display control instrument (referred to digital display control instrument) use differential advance control algorithm, high control precision, no overshoot, fuzzy self-tuning function. It can be used with all types of sensors and transmitters, realizing the measurement display of temperature, pressure, liquid level, capacity, speed and other physical quantity, and coordinating with a variety of actuator to the function of control, alarm control, data acquisition for electric heating equipment, electromagnetism and electric valve[1]. It Supports RS485 serial interface by using standard MODBUS communication protocol RTU. Digital display control instrument has 31 function parameters. These parameters use the standard MODBUS RTU RS485 communication protocol and serial interface transmission to the computer, then the computer acquisition, display and control by using the software of Labview on these parameters, eventually forming a wide variety of computer control systems.The hardware principle of communication researchThe principle of hardware wiringComputer and digital display control instrument hardware wiring diagram as shown in Figure 1. In figure: 1 computer; 2 RS232 and RS485 conversion module; 3, 4, 5 NHR1100 digital display controlinstrument.Figure 1 computer and digital display control instrument hardware wiring diagram Computer’s serial communication COM port is connected with the RS232 and RS485 conversion module’s RS232 port, the digital display control instrument’s RS485 communication terminal A, B is connected with RS485 conversion module’s RS485 port.1.2 Single loop digital display instrument communication parameter settingSingle loop digital display instrument communication parameter setting shown in table1[2] .3rd International Conference on Mechatronics, Robotics and Automation (ICMRA 2015)Table 1 single-loop digital display communication parameter tablecommunicatio n portcommunicationmodebaudratedatabitsstop bitcheckdevice addressCOM1 RS485 9600 8 1 none1Under the Labview software platform a single-loop digital display instrument parameters achieving the principles of reading and writingModbus is invented by Modicon (a brand of Schneider electric company) in 1979, the world's first truly global bus protocol for industrial site. This protocol supports traditional RS-232, RS-422, RS-485 and Ethernet devices. Many industrial equipment, including PLC、DCS、intelligent instruments and so on , all use the Modbus protocol as a communication standard. Modbus has the following characteristics:(1) Standard, open, users are free and safely using the Modbus protocol, no need to pay a license fee and will not infringe the intellectual property. At present, support Modbus manufacturers more than 400, support Modbus more than 600 kinds of products.(2) Modbus can support a variety of electrical interfaces, such as RS-232, RS-485 etc., and also can be transmitted on a variety of media, such as twisted pair, fiber optic, wireless, etc. . (3)Modbus’ frame format is simple, compact and easy to understand. Users are easy to use. Manufacturers are simple to develop[3].Labview called Laboratory Virtual Instrument Engineering Workbench created by USA National Instruments Corporation (National Instruments, NI). It is a powerful and flexible instrumentation and analysis software application development tools. It is a computer programming language based on graphical, with icons instead of lines of text to create applications. Based on PC in measurement and control software, Labview market penetration rate second only to C++/C language. Labview has been accepted widely by industry, academia and research laboratories, and also recognized as the standard for data acquisition and instrument control software[4].Single loop digital display instrument parameter data formatSingle-loop digital display parameter data format shown in Table 2.Table 2 Single-loop digital display instrument parameter data format table parameter name unit address data format data typesinstrument Type 00 Float read-onlymeasured value display 02 Float read-writethe first alarm value 04 Float read-onlythe second alarm value 06 Float read-writeinput indexing number 48 Float read-writedecimal point 50 Char read-writethe upper limit of measurement range 51 Char read-writethe lower limit of measurement range 57 Char read-writeparameter password 58 Char read-writedevice address 65 Char read-writebaud rate 66 Char read-writeSingle-loop digital display parameter data transmission Modbus function package Table3 Single-loop digital display parameter data transmission Modbus function package tabledevice address readfunction codeunit startaddressunitnumbercheckcodenote01 03 0000 0010 4406 Including: instrument type, the measuredvalue display, parameter password, the firstalarm value, the second alarm value01 03 0011 0010 1403 Including: input indexing number, decimalpoint, device address, baud rate, the lower limitof the measurement range01 03 0021 0001 D400 the upper limit of measurement rangeSingle-loop digital display parameter data receiving Modbus function package Table 4 Single-loop digital display parameter data receiving Modbus function package tabledevic e addressreadfunctioncodeunitbytesparameterunit datacontentcheck codenote01 03 20 04 4C、02DF、03 20、0258、01 2C0CADinstrument type=11100 the measured value display=73.5parameter password=-800 thefirst alarm value=60 the secondalarm value=3001 03 20 00 1E、0001、00 01、0003、00 00E5C2input indexing number=27 decimal point=1 deviceaddress=21 baud rate=3 thelower limit of the measurementrange=001 03 02 03 E8 B8FAthe upper limit of measurement range=1000Single-loop digital display parameters indicates the instrument front panel designSingle-loop digital display parameters indicates the instrument front panel shown in figure 2.Single-loop digital display parameters indicator include: Instrument type, measured value display, parameter password, the first alarm value, the second alarm value, enter indexing number, decimal point, device address, baud rate, the lower limit of the measurement range, the higher limit measurement range.Figure 2 Single-loop digital display parameters indicates the instrument front panel figure Single-loop digital display parameter indicator programmingSingle-loop digital display parameter indicator shown in figure 3.Including: VISA configure serial port VI, VISA write-in (function), VISA read (function), VISA closed (function), index array (function), Intercept string (function), Cast (function), the conversion (function) from string to byte array and so on.Figure 3 Single-loop digital display parameter indicator figureVISA configure serial port VI to make the VISA resource name specified serial according to specific initialization settings. VISA write-in (function), makes data of write-in buffer to write VISA resource name specified device or interface. VISA read (function), from VISA resource name specified device or interface read the specified number of bytes and make the data back to the read buffer. VISA closed (function), closes VISA resource name specified device session handle or event object. Index array (function), returns n dimensional array in the index position elements or subarray. Intercept string (function), returns the input string string, starts from the offset position, contains the length of the characters. For the array input, the function connects each element in the array. Cast (function), by new data types flattening and reduction, makes x cast to a certain type. If a function can not be converted to data and must be explained, LabVIEW can use a temporary buffer. The conversion (function) from string to byte array makes string converting array of no sign byte[5].ConclusionsSingle loop digital display indicator parameters, from the two aspects of hardware and software, expound the realization of the intelligent controller parameters in the Labview software platform. Through Labview software platform and the supported MODBUS protocol and RS485 communication interface, it will represent single loop control parameters of digital display control function, acquisition to the computer control system, for industrial automatic control system of data acquisition and monitoring control to lay the foundation.References[1] NHR - 5300 series of artificial intelligent PID controller operation manual,In Chinese.[2] Information on [3] Jinghui zhao, Bing zhou Labview and Modbus communication methods of SR23 island electric regulator. Automation and instrumentation[J], 2014,6: 106-109,In Chinese.[4] J.H.Zhao,and B.Zhou,” Thermocouple automatic verificating device based on virtual instrument technology”, Applied Mechanics and Materials Vols. 303-306 (2013) pp 588-596 Online available since 2013/Feb/13 Trans Tech Publications, Switzerlanddoi:10.4028//AMM.303-306.588.。

概率XML数据模型的综述

概率XML数据模型的综述
第 19 卷 第 23 期 Vol.19 No.23
电子设计工程 Electronic Design Engineering
2011 年 12 月 Dec. 2011
概率 XML 数据模型的综述

殷丽凤, 金 花, 田 宏 (大连交通大学 软件学院, 辽宁 大连 116028)
摘要: 随着 XML 成为网络信息表示和交换的标准以及不确定数据的广泛存在 ,概率 XML 数据库管理技术成为了当
选择不同的孩子节点组成 exp 的孩子节点的集合, 若 exp 的
孩子节点的 不同 子 集 c1,c2,…,cn 的 概 率 分别 为 p(c1),p(c2),
n
∑ …,p(cn),要求 p(ci)=1。 i=1
5)确定类型节点 det,det 节点的孩子节点必须全部出现。
它是上面 4 种类型节点的特例。
的概率为,表示 v 的孩子不在 C 中的节点集合。
2)互斥 类 型节 点 mux[11-12],mux 节 点的 孩 子 节点 只 能 出 现
一个,或者全不出现。 若 mux 节点 v 的孩子 w1,…,wn 的 概 率
分别为
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节点 v 的孩子全
1 概率 XML 数据
得了很大进展。
XML 数 据 通 常 可 以 用 文 档 树 来 描 述 ,概 率 XML 数 据 是
随着网络应用的快速发展,可扩展标识语言 XML(eXten- 把 概率信息加入到文档树中,称为概率 XML 文档树。 在概率
sible Markup Language) 已成为 Internet 上信息表示和数据交 XML 文档树中,包含两种类型的节点 ,一种为普通节点,描述

极端海况下深水单点系泊系统 FPSO运动响应分析

极端海况下深水单点系泊系统 FPSO运动响应分析

极端海况下深水单点系泊系统 FPSO运动响应分析袁洪涛;曾骥;莫建;康庄;王超;王钰涵【摘要】The motion responses and mooring strength of a 150 000-ton FPSO in 500-year extreme sea conditions have been studied , and technical analysis for the basic design and detailed design of the FPSO isprovided .The effects of 500-year wave dominated condition ,500-year wind dominated condition and 500-year current dominated condition on 150 000-ton single-point mooring FPSO motion response have been calculated by AQWA and OR-CAFLEX.The calculation results show motion responses in ballast condition are bigger than those in fully loaded condition, and motion responses of 500-year wave dominated condition are bigger than that of 500-year wind and current dominatedcondition .When directions of wave , wind and current are at angles , the motion responses are large.%针对500年一遇的极端海况条件,对15万吨深水单点系泊系统FPSO的运动响应和系泊线受力特性进行了研究,为FPSO后续的基本设计和详细设计提供技术分析依据。

外姿态测量系统中CCD驱动时序的设计及实现

外姿态测量系统中CCD驱动时序的设计及实现

外姿态测量系统中CCD驱动时序的设计及实现李晶;袁峰;丁振良【摘要】In order to accurately collect the linear CCD data, the drive timing of linear CCD is designed. Programmability of CPLD and flexibility of Verilog HDL are used to design the diving pulse timing of linear CCD, and Quartus Ⅱ software is adopted to doubly verify the design by simulation and hardware experiments. Experimental results indicate that the design meets the requirement of linear CCD driving timing and features good transplant capability, high versatility and applicable value.%为了精确地采集线阵CCD数据,设计了线阵CCD的驱动时序.利用复杂可编程逻辑器件(CPLD)的可编程性和Verilog HDL语言的灵活性,设计了线阵CCD驱动脉冲时序,并采用Quartus Ⅱ软件进行仿真和硬件试验的双重验证.试验结果表明,该设计满足线阵CCD驱动时序的要求,可移植性好、通用性高,具有较高的使用价值.【期刊名称】《自动化仪表》【年(卷),期】2013(034)001【总页数】3页(P25-27)【关键词】线阵CCD;驱动时序;复杂可编程逻辑器件(CPLD);数字电路;A/D信号【作者】李晶;袁峰;丁振良【作者单位】哈尔滨工业大学电气工程与自动化学院,黑龙江哈尔滨150001;哈尔滨工业大学电气工程与自动化学院,黑龙江哈尔滨150001;哈尔滨工业大学电气工程与自动化学院,黑龙江哈尔滨150001【正文语种】中文【中图分类】TP2740 引言目前,空间物体的三维姿态测量在航空航天、船舶、军事等领域有着重要应用。

智慧数据的概念、组织工具及其应用

智慧数据的概念、组织工具及其应用

第31期2019年11月No.31November ,2019袁祖笑(郑州大学信息管理学院,河南郑州450001)0引言人类文明已走进了数据文明时代,数据具有社会资源属性,成为社会生产力的核心要素之一。

数据在数量、质量、形态、作用等多个方面发生了翻天覆地的变化[1]:(1)大数据浪潮带来激增的且蕴藏巨大能量的数据,可以赋予国家战略投资、各领域商业形态[2]。

大数据正帮助行业专家和政府官员解决重大现实问题。

(2)语义网(Semantic Web )的不断优化和W3C 的技术推动使得数据质量更结构化和语义关联化[3]。

(3)关联数据(Linked Data )使得数据能被机器自动理解和处理,进而生成结构化与语义化的数据资源[4]。

(4)检索系统逐步智能化、可视化,数据发掘技术正在快速普及。

搜索引擎巨头依靠大型本体和元数据标准正推动全球创建网页的站主(Web Master )直接建构关联数据[5]。

(5)大众行为被映射到社会化信息网络,大众行为数据关联、保存与利用都蕴藏巨大价值;其活动已经进入很多领域的工作流程,用户的行为数据正在被分析利用。

数字化技术发展的结果必然驱动数据更加智慧化,智慧数据将会吸取数据的价值,使知识自动富集转化为告诉人们怎么做的智慧,形成决策支撑。

1大数据与智慧数据1.1大数据及其特点大数据指的是那些数量庞大而复杂的数据集,以至于传统的数据处理应用软件不足以应付这些数据,获取、分析和共享难度大。

中国电子科学研究院学报编辑部发文总结出“大数据”有如下特点:Variety (多样化)、V olume (海量)、Velocity (快速)、Vitality (灵活)、Complexity (复杂)。

由于前面4个V 特性的存在,导致处理和分析大数据更艰难,并且基于关系型数据库满足不了依据不同的业务场景,采取不同的处理方式和工具的需求。

1.2智慧数据的定义智慧数据是对不同数据进行汇集、关联、分析等多操作的一种方式,以便为决策和行动过程提供支持。

国际会议邀请骗局

国际会议邀请骗局

(3月18日第一封由lilian gray<lilian.gray90@)INTERNATIONAL CONFERENCE INVITATION IN USA AND SENEGALDear Friend,My name is Lilian Gray, working with (AMERICAN AIDS ORGANIZATION) Washington DC. we are organizing our 11th AIDS Combine Conference to tackle HIV prejudice and to protect ourselves and others from HIV transmission. This conference will take place from 20th -- 23rd April 2011 at Washington DC in the United States and in Dakar Senegal from 27th -- 30th April 2011.In our request to invite people from various countries around the world, I went in search of emails of N.G.O`s and Voluntary Organizations on the website as a means of contacting individuals and organizations, as a result, I picked your email from an N.G.O`s website.If you are interested to participate and want to represent your country, you may contact the secretariat of the organizing committee for details and information's through the following email address: Email: secretaryhivaids@ You should also inform them that you were invited to participate by friend of yours(Lilian Gray) who is a member of (AMERICAN AIDS ORGANIZATION). I believe that we may have the opportunity to meet if you may be willing to participate in this event. The benevolent donors across the United States and the Organizing Committee will provide round Trip air tickets and accommodation for the period of participants, Stay in the U.S, to all registered participants.If you are a holder of passport that may require visa to enter United States, you may inform the conference secretariat at the time of registration, as the Organizing committee is responsible for all visas arrangements and travel assistance.I encourage you to share this invitation with anyone you believe would be interested in attending the conference.We look forward to welcoming you to United States and Dakar Senegal.You may get back to me with my email address below.Email: liliangray@Sincerely,Lilian Gray.(3月22日第二封由liliangray@)Dear friend,I am very glad to receive your mail. The number of delegate for the first badge have completed they are now on the second badge. Email of the second badge is secretaryhivaids@ I have sent your details to the Conference secretariat. They will reach you with all the necessary Information pertaining these events. You should also inform them that you were invited to participate by a frie nd of yours (Lilian Gray). Delegate must attend the two segment. Be informed that the organizing committee is fully responsible for all registered participants travelling document (Visas), Round trip air tickets and their accommodation here in the United States where the first phase of the event will be held. Registered participants are only responsible for their Hotel accommodation in Dakar Senegal. Where the second pha se of the event will be held. This is to a ssure the organizing committee and the United State Bureau of immigration that they will partake in both events. Endeavour to update me with every step you take to enable me follow up with the proce ssing of your documents, a s I was the one who invited you so a s to receive your travelling entitled documents on time. I have attached my pics for ea sier recognition here in the United States during the events.Your intere st in the conference is much appreciated.Hoping to meet you there.Sincerely,Lilian Gray.(3月22日由secretaryhivaids@)Dear Conference Participant,You are welcome to participate in these International events. These will be held from 20th -- 23rd April 2011 at Washington DC in the United States and in Dakar Senegal from 27th -- 30th April 2011.Your participation has been accepted because you were recommended by one of our staff and member of AMERICAN AIDS ORGANIZATION (AAO) Lilian Gray. The 11th AIDS International Combine Conference will present new scientific knowledge and offer many opportunities for structured dialogue on the major issues facing the global response to HIV. A variety of session types – from abstract-driven presentations to symposia, bridging sessions and plenary – will meet the needs of various participants. Other related activities, including the Global Village, satellite meetings, exhibitions and affiliated events, will contribute to an exceptional opportunity for professional development and networking. The 11th AIDS Combine Conference will provide or facilitate hubs (centres) where selected sessions of the conference will be screened, to increase the access to the conference programme.The conference challenges students, professionals, educators, doctors, scientists, lawyers, universities, corporations, nonprofits, and others, to develop innovative solutions to achieve global goals.The conference organizing committee in conjunction with the donor sponsoring committee has mapped out some financial rewards to group participants that distinguished themselves in their areas of discipline. Panel of Judges has been appointed to oversee and to select participants of merit...The Interested participants of the forth-coming 11th AIDS International Combine Conference should send the following information’s via email, to our Registration Desk:Email: rgstrtnaids2011@You must send to us the following information about all members of your group:1) Names exactly as in passport…...2) Passport Number………………..3) Date of Birth……………………4) Place of Birth…………………...5) Country of Residence…………..6) Country Dialling Code…………7) Occupation……………………..8) Marital Status…………………..9) Phone Contact………………….10) Postal Address…………….......11) Who invited you………………We welcome Delegates, Inter-Governmental and Non-Governmental Organizations to the International Conference.REGISTRATION OF PARTICIPANTS: A maximum of six (6) persons are expected to participate as a group or organization to represent their Country in the forth-coming events. None of them should be less than eighteen years of age and they must participate in both Conferences.NOTE Very Important: It is not necessary that one must belong to an organization to be eligible to attend this event. He/she can also participate as an individual or a group of 2 to 4 members if he/she is not capable to form a group to represent his/her Country are eligible to participate.They should be in possession of their international passports to enable them participate in this conferences. You may forward the names and passport numbers of your group members to register to the 11th AIDS International Combine Conference.Regular DelegateTo register as a regular delegate, you must be at least 18 years old. The registration for regular delegates includes entry to all conference sessions, the exhibition and poster area, the opening session and the closing session.If the completed registration forms are received on or before the registration deadline, a conference bag and other conference materials including the conference programme and the abstract CD-ROM are guaranteed. If the completed registration forms are received after the registration deadline, we cannot guarantee that a conference bag and other conference materials will be available. All conference materials will be handed out onsite.Student/Post-doc/Youth DelegateTo register as a student/post-doc/youth delegate, you must be at least 18 years old and you must provide proof of age at both the time of registration and during the conference. The registration for students/post-doc and youth delegates include entry to all conference sessions, the exhibition area, the poster area, the opening session and the closing session.All participants visa assistance request will be forwarded to the U.S Department of State for same day visa Authorization which shall be sent by fax to the consular section of the U.S. Embassy, in your country of residence.Only participants who have been officially nominated by an invitation, Governmental body, non-governmental organization, academic institution, or group formed to represent a country will be registered. Such participants will be provided with a registration file number and special ID card on arrival, permitting access to the conference premises during the Conference.Admission to conference premises will require, at all times, the presentation of the identification cards. Upon presentation of two valid photo IDs, NGO participants will be issued such ID cards for access to the conference premises: A centre for issuance of access/ identification passes will be issued from ,first day to the last day of the Conference at the Convention CentreNote again that delegates will only be responsible for their own hotel booking accommodation in Dakar Senegal for the second phase of the event to assure the organizing committee and the United State Bureau of immigrant affairs that they will partake in both events.All registered participants are entitled to round trip air tickets, meals and accommodation which will be provided during their stay in the U.S.For more information you can contact us.Phone: +1-321-226-0024Fax: + 1-606-312-4714Office Hours: M - F 8:00 AM - 5:45PM,Regards,Richard Jeffrey.(Conference secretary)…The conference will be translated in different languages all over the world…(3月23日由liliangray@)Dear Li XiaoxiaOrganizing committee has provided a free round Trip air tickets and free accommodation for the period of participants Stay in the U.S, to all registered participants. Participants free round trip air tickets covers from the participants’ country of re sidence to Washington DC United States and from Washington DC United States to Dakar Senegal where the second phase of the conference will be held andfr om Dakar Senegal back to participants’ country of residence. Immidiately you sumit your registration form together with your hotel booking comfirmation receipt which make you to prove that you will attend both conference.Your registration forms will be forwarded to the United States Bureau of Immigrant Affairs- U.S. Foreign Consular Department. You are going to received your air ticket in the same day you are collecting your visa in america embassy in beijing china. You can go together with another volunteer.Sincerely,Lilian Gray.(3月26日由rgstrtnaids2011@;发来信及如下三个附件)Dear conference participant,View your attachment and print out the forms, scan it and send it back to us by E-mail attachment, not later than 31st March, 2011. We will get in touch with you as soon as we receive the registration forms A,B, and C together with your hotel booking guarantee receipt, which is required to prove that you will attend both conference.Regards,Barry Taylor.(Registrar)The 11th International (AAO) Combine Conference on HIV/AIDS.April 20th ~ 23rd2011, Washington DC, USA ----- April 27th ~ 30th 2011, Dakar, SenegalFILES NUMBER: CHINA/UWOSOS/USCL5230506/AAOICCHA27915/USGB-1573REGISTRATION FORM (A)Secretariat Use OnlyReceived: __Registration No.:______Please complete the form and send by e-mail to the Conference Secretariat before March 31st, 2011. Should you questions, please do not hesitate to contact the secretariat via email:secretaryhivaids@Personal information (Please type or print clearly in CAPITAL*all fields marked with a star are required for*Title: Mr. Mrs. Ms. Prof. Dr. Others (Please specify: ____________*Function at co □Youth Delegate □Student □Invited speaker □Committee member □Regular delegate*Please choose□Senior researcher □Post-doctoral fellow □Doctoral student □Government official □Other:*First (Given) name: *Middle name: *Last (Family) _______ _______ ____________ __________________Passport number: (for excursion insurance only) Birthday: (yy _________________________________ *Organization:_______________________________________________________________Postal_______________________________________________________________Postal code: City: * ______ _____ ____________*Tel: (country code - area code - tel no.) *Fax: (country code - area code - ____________________________________________*E-mail_____________________________________*Special dietary requirements: (please tick your None Vegetarian □No beef □No pork □No sea food Evening reception □Attend □Not Attend x Com Closing banquet □Attend □Not Attend x ComplimentaryTravel/AccommodationThe benevolent donors across the United States and the conference organizing committee has provided a free round Trip air tick accommodation for the period of participants Stay in the U.S, to all registered participants. Participants free round trip air tickets c the participants’ country of residence to Washington DC United States and from Washington DC United States to Dakar Senega second phase of the conference will be held and from Dakar Senegal back to participants’ country of residence. Accommodation in Africa.The 11th International (AAO) Combine Conference On HIV/AIDS.April 20th ~ 23rd 2011, Washington DC, USA ----- April 27th ~ 30th 2011, Dakar, SenegalREGISTRATION FORM (B)The 11th International (AAO) Combine Conference On HIV/AIDS.April 20th ~ 23rd 2011, Washington DC, USA ----- April 27th ~ 30th 2011, Dakar, SenegalQUESTIONNAIRE FORM (C)。

英文学术会议邀请函三篇

英文学术会议邀请函三篇

英文学术会议邀请函三篇英文学术会议邀请函篇1Dear Colleagues,It is a great pleasure to invite you to the __th International Conference on Composite Materials (ICCM__), which will be held from July 28 to August 2, in Montreal, Canada. This conference is one of the most highly acclaimed meetings in the field of composite materials and it takes place biannually in different countries all over the world. Most recently, the conference was held in Edinburgh, UK () and Jeju, Korea (). We are truly glad to host such a prestigious event in the beautiful city of Montreal.This time, the organizing committee has chosen "Composite Materials: The Great Advance" as the main theme for the conference, with a focus on the latest developments and trends, as well as future outlook of the field of composite materials and structures. The conference program includes plenary lectures, oral and poster presentations, exhibitions, and various social programs for over 1,000 participants from around the world.Abstract submissions have now begun. On behalf of ICCM__, we extend an invitation to you to submit an abstract(s) for oral and/or poster presentations. The deadline for submissions is December 15, . Abstracts are submitted online in Confsys (our online submission management system). Authors must complete the sign in process (including profile and interests) before being able to submit. You will find full instructions and abstract template at iccm__.org/abstract_submit.htm.Abstracts will be peer-reviewed by the scientific program committee from December 27, to February 22, . Notification of Acceptance will be provided by email to the Author(s) by February 28, . A presenter for each accepted abstract must then register with full payment and accept copyright clearance before the full paper upload will be accepted.We thank you for your consideration and look forward to hearing from you. Should you have any questions, please contact ICCM__ Secretariat at iccm@iccm__.org.Sincerely,Suong V. Hoa, General ChairPascal Hubert, Technical Program ChairICCM__ Secretariat 1455 De Maisonneuve West, Ev4-145 Montreal, Quebec, Canada H3G 1M8 Tel: 514-848-2424 x7997 Fax: 514-848-45__February 9,英文学术会议邀请函篇2Dear Ms Wang:I have the great pleasure, on behalf of the International Conference on Medical Biometrics organization, of inviting you to contribute to the symposium on Medical device technologies, Medical data processing and management, Medical Pattern Recognition, Medical biometric systems and applications to be held in Shenzhen, between 30th May and 1th June .We would like to invite you to submit a manuscript to the International Conference on Medical imaging devices, Medical information retrieval,Biometric technologies, Feature matching and classification, Computer-aided diagnosis and Other applications. The idea is to present originally contributed research, review, and short communication articles in the field of Medical Biometrics. Deadline for submissions would be April 3, . Kindly submit your manuscripts as an E-mail attachment ******************.cn.I will be looking forward to your favorable reply.Sincerely yours,Guangming Lu英文学术会议邀请函篇3Dear professor wang,on behalf of the ohio state university and the ieee computer society, i would be very pleased to invite you to attend and chair a session of the forthcoming __ international conference on parallel data processing to be held in bellaire, michigan, from october 25 to october 28, __.you are an internationally acclaimed scholar and educator. your participation will be among the highlights of the conference. we sincerely hope that you could accept our invitation. as you know, this is the 0th anniversary of the conference and we plan to make it a truly international meeting. we have accepted many papers from several foreign countries, including two from china. if you can come, please let us know as soon as possible, since we have to prepare the final program soon. we are looking forward to your acceptance. sincerely yours, peter white。

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30th International Conference of Data Protection and Privacy CommissionersStrasbourg, 17 October 2008Resolution on Privacy Protection in Social Network ServicesProposer: Data Protection and Freedom of Information Commissioner of the State of Berlin, GermanyCo-sponsors:Commission Nationale de l’Informatique et des Libertés (CNIL), France;Federal Commissioner for Data Protection and Freedom of Information,Germany;Garante per la protezione dei dati personali, Italy;College Bescherming Persoonsgegevens (The Netherlands)Privacy Commissioner, New Zealand;Federal Data Protection and Information Commissioner (FDPIC), SwitzerlandResolutionSocial network services1 have become very popular in recent years. Among other things, these services offer means for their subscribers to interact based on self-generated personal profiles, which support an unprecedented level of disclosure of personal information about the individuals concerned (and others). While social network services offer a new range of opportunities for communication and real-time exchange of all kinds of information, the use of these services can also place the privacy of its users – and others – at risk: Personal data about individuals become publicly (and globally) available in an unprecedented way and quantity, including huge quantities of digital pictures and videos. Individuals face the possible loss of control over how data will be used by others once they are published on the network: While the “community” basis of social networks suggests that publishing one’s own personal data would just resemble sharing information with friends as it used to be face-to-face, profile information may in fact be available to an entire subscriber community (numbering in the millions).Very little protection exists at present against copying any kind of personal data from profiles – by other network members, or by unauthorised third parties from outside the network – and using them for building personal profiles, or re-publishing the data elsewhere. It can be very hard – and sometimes even impossible – to have information thoroughly removed from the Internet once it is published: Even after deletion from the original site (e.g. the social network), copies may rest with third parties or with the social network service providers. Personal data from profiles may also “leak” outside the network when they are indexed by search engines. In addition, some social network service providers make user data available to third parties via application programming interfaces, which are then under control of these third parties.One example of secondary uses that has gained wide public attention is the practice of company personnel managers crawling user profiles of job applicants or employees: According to press reports, one third of human resources managers already admit to use data from social network services in their work, e.g. to verify and/or complete details of job applicants.1“A social network service focuses on the building and verifying of online social networks for communities of people who share interests and activities, or who are interested in exploring the interests and activities of others […]. Most services are primarily web based and provide a collection of various ways for users to interact […]”. Quoted from Wikipedia:/wiki/Social_network_service .Profile information and traffic data are also used by providers of social network services for delivering targeted marketing messages to their users.It is very likely that other unexpected uses for the information in user profiles will emerge in the future.Other specific privacy and security risks already identified include increased risks of identity fraud fostered by the wide availability of personal data in user profiles, and by possible hijacking of profiles by unauthorised third parties. The 30th International Conference of Data Protection and Privacy Commissioners recalls that these risks have already been analyzed in the “Report and Guidance on Privacy in Social Network Services” (”Rome Memorandum”)2 of the 43rd meeting of the International Working Group on Data Protection in Telecommunications (3-4 March 2008), and in the ENISA Position Paper No.1 “Security Issues and Recommendations for Online Social Networks”3 (October 2007).The Data Protection and Privacy Commissioners convened at the International Conference are convinced that it is necessary, in the first place, to carry out an in-depth information campaign involving all public and private stakeholders – from governmental authorities to educational institutions, such as schools, from providers of social network services to consumer and user associations, and including the Data Protection and Privacy Commissioners themselves – in order to prevent the multifarious risks associated with the use of social network services.RecommendationsGiven the special nature of the services, and short and long term privacy risks to individuals, the Conference offers the following recommendations to users and providers of social network services:Users of Social Network ServicesOrganisations having an interest in the wellbeing of users of social networks – including service providers, governments and Data Protection Authorities – should help educate users to protect their personal data and communicate the following messages.1. Publication of informationUsers of social network services should consider carefully which personal data – if any – they publish in a social network profile. They should keep in mind that they may be confronted with any information or pictures at a later stage, e.g. in a job application situation. In particular, minors should avoid revealing their home address or telephone number.Individuals should consider the usefulness of using a pseudonym instead of their real name in a profile. However, they should keep in mind that the use of pseudonyms offers limited protection, as third parties may be able to lift such a pseudonym.2. Privacy of other individualsUsers should also respect the privacy of others. They should be especially careful with publishing personal information about somebody else (including pictures or even tagged pictures) without that other person’s consent.2http://www.datenschutz-berlin.de/attachments/461/WP_social_network_services.pdf?12084384913http://www.enisa.europa.eu/doc/pdf/deliverables/enisa_pp_social_networks.pdfProviders of Social Network ServicesProviders of social network services have a special responsibility to consider and act in the interests of individuals using social networks. In addition to meeting the requirements of data protection law they should also implement the following recommendations.1. Privacy regulations and standardsProviders operating in different countries or even globally should respect the privacy standards of the countries where they operate their services. To that end, providers should consult with data protection authorities as necessary.2. User informationProviders of social network services should inform their users about the processing of their personal data in a transparent and open manner. Candid and intelligible information should also be given about possible consequences of publishing personal data in a profile and about remaining security risks, as well as about possible legal access by third parties (including e.g. law enforcement). Such information should also comprise guidance on how users should handle personal information about others contained in their profiles.3. User controlProviders should further improve user control over the use of their profile data by community members. They should allow for restriction of visibility of entire profiles, and of data contained in profiles, and in community search functions.Providers should also allow for user control over secondary use of profile and traffic data;e.g. for targeted marketing purposes. As a minimum, opt-out for general profile data, and opt-in for sensitive profile data (e.g. political opinion, sexual orientation) and traffic data should be offered.4. Privacy-friendly default settingsFurthermore, providers should offer privacy-friendly default settings for user profile information. Default settings play a key role in protecting user privacy: It is known that only a minority of users signing up to a service will make any changes. Such settings must be specifically restrictive when a social network service is directed at minors.5. SecurityProviders should continue to improve and maintain security of their information systems and protect users against fraudulent access to their profile, using recognised best practices in planning, developing, and running their applications, including independent auditing and certification.6. Access rightsProviders should grant individuals (regardless of whether they are members of the social network service or not), the right to access and, if necessary, correct all their personal data held by the Provider.7. Deletion of user profilesProviders should allow users to easily terminate their membership, delete their profile and any content or information that they have published on the social network.8. Pseudonymous use of the serviceProviders should enable the creation and use of pseudonymous profiles as an option, and encourage the use of that option.9. Third party accessProviders should take effective measures to prevent spidering and /or bulk downloads (or bulk harvesting) of profile data by third parties10. Indexibility of user profilesProviders should ensure that user data can only be crawled by external search engines if a user has given explicit, prior and informed consent. Non-indexibility of profiles by search engines should be a default setting.。

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