delete If Date > 31 Dec 2006 then delete USE proc timeseries to convert both bsemonthlyprices and bsesensex to monthly series and align to the end. STEP 3: Manipulate the Data and Compute Monthly Returns and Monthly Excess Returns Merge the above two files and compute stock returns and sensex returns Compute U (Excess returns over the Market) = stock returns – Market returns STEP 4: Compute the yearly return for each stock per year for all the stocks. Proc means; by year name; STEP 5: Split the
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Rajab Challoo & Raghavendra Kotapalli Detection of Botnets Using Honeypots and P2P Botnets Rajab Challoo Dept. of Electrical Engineering & Computer Science Texas A&M University Kingsville Kingsville‚ 78363-8202‚ USA kfrc000@tamuk.edu Raghavendra Kotapalli Dept. of Electrical Engineering & Computer Science Texas A&M University Kingsville Kingsville‚ 78363-8202‚ USA raghavsan@gmail.com Abstract A “botnet” is a group of compromised computers connected to a network‚ which can be used
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RECOGNIZING EMOTIONS FROM STUDENT SPEECH IN TUTORING DIALOGUES Diane Litman Kate Forbes University of Pittsburgh Learning Research and Development Ctr. Pittsburgh PA‚ 15260‚ USA University of Pittsburgh Department of Computer Science Learning Research and Development Ctr. Pittsburgh PA‚ 15260‚ USA ABSTRACT We investigate the automatic classification of student emotional states in a corpus of human-human spoken tutoring dialogues. We first annotated student turns in this corpus for negative
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‚ K.‚ L IU ‚ C.‚ AND K ANG ‚ S. 2012. Depth extraction from video using non-parametric sampling K ESKIN ‚ C.‚ K IRAC ‚ F.‚ K ARA ‚ Y.‚ AND A KARUN ‚ L. 2012. Hand ¸ P RADOS ‚ E.‚ AND FAUGERAS ‚ O. 2005. Shape from shading: a well-posed problem? In Proc R EMONDINO ‚ F.‚ AND S TOPPA ‚ D. 2013. ToF range-imaging cameras G EHLER ‚ P. V. 2011. Recovering intrinsic images with a global sparsity prior on reflectance S AXENA ‚ A.‚ S UN ‚ M.‚ AND N G ‚ A. 2009. Make3D: Learning 3D scene structure from a single
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| | | 5 | <= | 5 | | Outbound | Dummy | | | 1 | <= | 1 | | Outbound | Also‚ there are two processing centers (hubs constraints) that need to be met. These are explained below. Louisville Proc Ctr Balance Constraint | | | 0 | = | 0 | | Hub | Cincinnati Proc Ctr Balance Constraint | | | 0 | = | 0 | | Hub | In addition‚ we have four inbound constraints that need to be met. Macon Customer Demand | | | 2 | = | 2 | | Inbound | Greenwood Customer Demand
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16 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY‚ VOL. 8‚ NO. 1‚ JANUARY 2013 User Authentication Through Mouse Dynamics Chao Shen‚ Student Member‚ IEEE‚ Zhongmin Cai‚ Member‚ IEEE‚ Xiaohong Guan‚ Fellow‚ IEEE‚ Youtian Du‚ Member‚ IEEE‚ and Roy A. Maxion‚ Fellow‚ IEEE Abstract—Behavior-based user authentication with pointing devices‚ such as mice or touchpads‚ has been gaining attention. As an emerging behavioral biometric‚ mouse dynamics aims to address the authentication problem
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Abo-Elamayem‚ M.‚ Saad‚ M. A.‚ and EI-Sebae‚ A. H. (1979). Water pollution with organochlorine pesticides in Egyptian lakes. Proc. of the Internat. Egyptian-German Seminar on Environment Protection from Hazards of Pesticides‚ Alexandria‚ Egypt. March 24-29‚ pp.94-108. Aly‚ Osama A.‚ and Badawy‚ M. I. (1981). Organochlorine insecticides in selected agricultural areas in Egypt. Proc. of the Internat. Symposium on Mgmt. of Indust. Wastewater in the Developing Nations‚ Alexandria‚ Egypt‚ March 28-31‚ pp
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Sentiment classification using machine learning techniques‚” in Proc. ACL-02 Conf. Empirical Methods Natural Lang. Process.‚ 2002‚ pp. 79–86. [2] P. D. Turney‚ “Thumbs up or thumbs down?: Semantic orientation applied to unsupervised classification of reviews‚” in Proc. 40th Annu. Meeting Assoc. Comput. Linguist.‚ 2002‚ pp. 417–424. [3] A. Esuli and F. Sebastiani‚ “Determining the semantic orientation of terms through gloss classification‚” in Proc. 14th ACM Int. Conf. Inf. Knowl. Manage.‚ 2005‚ pp. 617–624
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San Francisco‚ CA‚ 2004‚ pp. 2223–2226. 106‚ pp. 552–553‚ 1998. Proc. IEEE Conf. Sensors‚ Daegu‚ Korea‚ 2006‚ pp. 489–492. [20] S. Hu‚ R. L. Bowlds‚ Y. Gu‚ and X. Yu‚ “Pulse wave sensor for non-intrusive driver’s drowsiness detection‚” in Proc. Int. Conf. IEEE Engineering in Medicine and Biology Soc.‚ Minneapolis‚ MN‚ 2009‚ pp. film‚” Physiol. Meas.‚ vol. 14‚ pp. 365–372‚ 1993. 31‚ pp. 634–635‚ 1993. and EMFit pressure sensor‚” in Proc. IEEE Sensors Appl. Symp.‚ Houston‚ TX‚ 2006‚ pp Syst. Design and
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References: Genève‚ 2008 Federal Communications Commission‚ "Facilitating Opportunities for Shared Spectrum Company‚ "Spectrum Occupancy Measurements"‚ 2005‚ retrieved from www.sharedspectrum.com/measurements on Sharing Detectors"‚ In Proc. of IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN 2007)‚ Generation / Dynamic Spectrum Access / Cognitive Radio Wireless Networks: A Survey"‚ Computer Networks‚ 2006‚ pp Software Defined Radio"‚ PhD thesis
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