信息管理毕业论文参考文献

信息管理毕业论文参考文献 　　是对期刊论文引文进行统计和分析的重要信息源之一，下面是搜集整理的信息管理参考文献，供大家阅读参考。 　　参考文献一： 　　[1]辛金国，关健清.基于数据挖掘民营上市公司绩效评价研究探索.中国管理科学,2012,11(20):114-119. 　　[2]HayuthY.Portperformancecomparisonapplyingdataenvelopmentanalysis(DEA)[J].MaritimePolicyandManagement,1993,20(2):161-163. 　　[3]王庆元.基于RS-BP神经网络的煤炭企业绩效评价研究[D].那鄭:河北工程大学,2012. 　　[4]程琳.企业缋效评价指标体系研究[D].天津：天津商业大学，2008. 　　[5]RSKaplan,DPNorton.PuttingtheBalancedScorecardtoWork[J],HarvardBusiness.1993. 　　[6]TongzonJL.EfficiencymeasurementofselectedAustralianandotherinternationalportsusingdataenvelopmentanalysis[J].TransportResearchA,2001,35(2):113-128. 　　[7]ArieSachish.ProductivityfunctionsasamanagerialtoolinIsraeliports[J].MaritimepolicyandManagement,1996,23(4):341-369. 　　[8]TalleyWK.Optimumthroughputandperformanceevaluationofmarineterminals[J].MaritimePolicyandManagement,1988,15(4):327-331. 　　[9]KBichou,RGray.AlogisticsandSupplychainmanagementapproachtoPortPerformancemeasurement[J].MaritimePolicyandManagement,2004,31(1):47-67. 　　[10]G1-TAEYEO.AnapplicationofthehierarchicalfozzyProcesstocontainerPortecompetition;Policyandstrategicimplications[J].Transportation,2006,33(1):409-422. 　　[11]陈之涛.基于VBM的企业业缋评价体系研究[D].厦门：厦门大学. 　　[12]王炎娇.沈阳都瑞轮毂有限公司绩效管理体系设计[D].哈尔滨：尔滨工业大学,2006. 　　[13]财政部统计评价司.企业效绩评级问答[M].北京：经济科学出版社，2001. 　　[14]胡文献.基于上市公司的杜邦财务分析理论研究[D].泉州：华侨大学,2004. 　　[15]张萌萌.EVA业绩评价在我国家电行业的应用研究——以海信电器为例[D].北京：财政部财政科学研宄所，2013. 　　[16]牛丽文，张进.企业绩效评价指标体系研究.商场现代化,2005(29):12-15. 　　[17]王化成，刘俊勇.企业业绩评价模式研究-兼论中国企业业绩评价模式选择.管理世界，2004(4).[18]陆庆平.企业绩效评价新论[D].大连：东北财经大学，2006. 　　[19]吕永波等.我国主要集装箱运输港口的竞争力评价研究[J].北京：北方交通大学学报，2002,26(5):102-105. 　　[20]唐波.基于供应链管理的物流企业风险预警指标体系研究[D].北京：北京物资学院，2010. 　　参考文献二： 　　[1]吉阿兵,朱道立.基于绩效率DEA模型的港口绩效评价[J].系统工程，2005,4(23):119-122. 　　[2]张俊基.我国港口企业绩效评价研究[D].南京：河海大学，2006. 　　[3]杨建刚.人工神经网络实用教程[M].杭州：浙江大学出版社，2001. 　　[4]张立明等.人工神经网络的模型及其应用[M].上海：复旦大学出版社.1994. 　　[5]MwasiagiJI，HuangXB,WangXH.Performanceofneuralnetworkalgorithmsduringthepredictionofyambreakingelongation[J].FibersandPolymers,2008,9(1):80-86 　　[6]王瑞.基于BP神经网络的港口货运运营风险控制研究[D].北京：北京交通大学，2013.13-15. 　　[7]RafiqMY’QBugmann.Easterbrook:Neuralnetworkdesignforengineeringapplications[J].ComputersandStructures,2001:1541-1552. 　　[8]TJyalakshmi,ASanthakumaran.Statisticalnormalizationandbackpropagationforclassification[J].InternationalJournalofCompute,2011,1(3):89-90. 　　[9]MwasiagiJI,HuangXB,WangXH.Performanceofneuralnetworkalgorithmsduringthepredictionofyarnbreakingelongation[J].FibersandPolymers,2008:80-86 　　[10]JMJMurre.Transferoflearninginbackpropagationandinrelatedneuralnetworkmodels[J].ConfluenceTheNextGenerationInformation,2014,23(12):60-64. 　　[11]Gang Cao, Yao Zhao, Rongrong Ni, Lifang Yu, Huawei Tian. Forensic Detection of MediaFiltering in Digital Images[C]. // International Conference on Mulimedia & Expo, Singapore,2010:89-94. 　　[12]Kakar Pravin, Natarajan Sudha, Ser Wee. Exposing Digital Image Forgeries by DetectingDiscrepancies in Motion Blur[J]. IEEE Transaction on Multimedia, 13(3):443-452. 　　[13]Kakar Pravin, Natarajan Sudha, Ser Wee. Detecting Digital Image Forgeries ThroughInconsistent Motion Blur[C]. //International Conference on Mulimedia & Expo, Singapore,2010:486-491. 　　[14]AlinC. Popescu, Hany Farid. Exposing Digital Forgeries by Detecting Traces of Re-sampling[J]. IEEE Transaction on Signal Processing. 2005, 53(2):758-767. 　　[15]Gang Cao, Yao Zhao, Rongrong Ni. Forensic identification of resampling operatiors: a seminon-intrusive approach[J]. Forensic Science International, 2012, (216): 13. 　　[16]Gloe T, Kirchner M, Winkler A. Can We Trust Digital Image Forensics?[C]. // Proceedings ofInternational Conference on Multimedia, New York, ACM. 2007:78-86. 　　[17]Kirchner M, Boehme R. Hiding Traces of Resampling in Digital Images[J]. IEEE Transactionson Information Forensics and Security, 2008，3(4):582-592. 　　[18]S. Avidan , A. Shamir. Seam carving for content-aware image resizing [J]. ACM Trans. Graph,2007，26(3):10. 　　[19]A. Sarkar, L. Nataraj, B. S. Manjunath. Detection of seam carving and localization of seam insertions in digital images [C]. //Proc, of the 11th ACM workshop on MM&SEC，2009, 107-116. 　　[20]Dun-Yu Hsiao, Soo-Chang Pei. Detecting Digital Tampering by Blur Estimation[C]. //In 1stInternational Workshop on Systematic Approaches to Digital ForensicEngineering, 2005:264-278. 　　参考文献三： 　　[1] 王俊文，刘光杰，戴跃伟，张湛，王执链.基下非抽样Contourlet变换的图像模糊取证[J].计算机研究与发展，2009，46 (9) :1549-1555. 　　[2] Li-Xian Wei, Junjie Zhu, Xiaoyuan Yang. An Image Forensics Algorithm for Blur DetectionBased on Properties of Sharp Edge Points卩].Advanced MaterialsResearch, 2012, 34(2):743-747. 　　[3] Pedro Comesana. Detection and information theoretic measures for quantifying thedistinguishability between multimedia operator chains [C]. // IEEE International Workshop onInformation Forensics and Security, 2012. 211-216. 　　[4] Pedro Comesana, Fernando Perez-Gonzalez. Multimedia operator chain topology andordering estimation based on detection and information theoretic tools [C]. // Digital Forensicsand Watermaking, 2012. IWDW 2012. 11th International Workshop on Digital Forensics andWatermaking, 2012. 213-227. 　　[5] Z Chen, Y Zhao，R Ni，Detecting the operation chain in digital images by type and order fingerprint[C]. // International Conference on Signal Processing(ICSP), HangZhou, China, October 19-23，2014, 1837-1842. 　　[6] Matthew C. Stamm, Xiaoyu Chu, K. J. Ray Liu. Forensically Determining the Order of S ignalProcessing Operations[C]. // IEEE International Workshop on Information Forensics andSecurity, 2013. WIFS 2013. Proceedings of the 2013 IEEE Signal Processing SocietyConference on. IEEE, 2013:162-167. 　　[7] M . C. Stamm, K . J . R . Liu. Forensic detection o f image manipulation using statisticalintrinsic fingerprints[J]. IEEE Transactions on information Forensics and Security, 2010, 5(3):492 -506. 　　[8] M. Kirchner. Fast and reliable resampling detection by spectral analysis of fixed linear predictorresidue[C]. // ACM workshop on Multimedia and Security, Oxford, United Kingdom,2008:11-20. 　　[9] M. Kirchner, J. Fridrich, On detection o f median filtering in digital images[C]. // ElectronicImaging: Security, Steganography, and Watermarking of Multimedia Contents, 2010.Proceedings of SPIE. Media Forensics and Security II，2010:1-12. 　　[10] Jianwei Li, Yao Zhao, Rongrong Ni, Detection for processing history of seam insertion and contrast enhancement[C]. // Proc. of SPIE Vol, 9273, 2014. 　　[11] Hany Farid. Creating and detecting doctored and virtual images: Implications to the childpornography prevention act[J]. Department of Computer Science, DartmouthCollege, TR2004-518, 2004, 13. 　　[12]周琳娜.数字图像盲取证技术研究[D].北京：北京邮电人学，2007. 　　[13] 刘苗，郑江滨.利小波域同态滤波的伪造图像检测方法[J].计算机I:程与应州，2009，45(34) :169-179. 　　[14] Yagiz Sutcu, Baris Coskun, Husrev T.Senear. Tamper Detection Based on Regularity ofWavelet Transform Coefficient[C]. // IEEE International Conference on Image Processing, SanAntonio, TX, 2007:397-400. 　　[15] 干波，孙璐璐，孔样维，尤新刚.图像伪造中模糊操作的异常色调率取证技术m.电+分报.2006，34(12):2451-2454. 　　[16] Hany Farid . Blind Inverse Gamma Correction[J]. IEEE Transaction on Image Processing, 2001，10(10):1428-1433. 　　[17] Gang Cao, Yao Zhao, Rongrong Ni. Attacking Contrast Enhancement Forensics in DigitalImages[J]. Science China Information Sciences, 2014，57(5): 1-13. 　　[18] Gang Cao，Yao Zhao, Rongrong Ni, Alex C.Knot. Efficient contrast enhancement forensicswith application to image foi^ery detection[J]. IEEE Transaction on Information Forensics andSecurity, 2013. 　　[19] Gang Cao, Yao Zhao, Rongrong Ni. Forensic Estimation of Gamma Correction in DigitalImages [C]. // International Conference on Image Processing, Hong Kong, 2010:2297-2300. 　　[20]王幕，张娜，潘城.数字图像中值滤波检测[J].广东科技，2013，12:214-218.