Chapter 15 introduction to ecotourism

... st (15. 2-31) The width of slot between the base of the tips is taken as the average of the distance of the chord length of the inner corners of the tooth tips at the top of the tooth and the ... by the tooth at radius rsi, θtb the angle spanned by the tooth at radius rsb, wtb the width of the tooth base, dtb the depth of the tooth base, dtte...

Ngày tải lên: 16/02/2014, 18:55

... 4T Time, t Figure 1.3 Example of analog signal x…t† and discrete-time signal x…nT† INTRODUCTION TO REAL-TIME DIGITAL SIGNAL PROCESSING the discrete-time signal x…nT† obtained from the values of ... 1.1 Basic Elements of Real-Time DSP Systems There are two types of DSP applications ± non -real-time and real time Non -real-time signal processing involves manipulating s...

Ngày tải lên: 17/10/2013, 14:15

... 40-bit data 24-bit code pointers (X)AR0±(X)AR4 Calling function Save-on-call 16-bit data 16 or 23-bit pointers T0 and T1 Calling function Save-on-call 16-bit data AC3 Called function Save-on-entry ... mode to variable x 54 INTRODUCTION TO TMS320C55X DIGITAL SIGNAL PROCESSOR auxiliary registers for dual data memory access The coefficient data pointer (CDP) indirect mode uses the...

Ngày tải lên: 19/10/2013, 23:15

Ngày tải lên: 17/12/2013, 15:19

... from 1 .4 to -0 .4 This gives us 18 portfolios with weights (xA , xB ) = (−0 .4, 1 .4) , (−0.3, 1.3), , (1.3, −0.3), (1 .4, −0 .4) For each of these portfolios we use q the formulas (2) and (3) to compute ... (0 .45 8)2 (0.013) + 2(0. 542 )(0 .45 8) = 0.015, and the standard deviation of the tangency portfolio is q √ σ T = σ = 0.015 = 0.1 24 T The efficient portfolios now are combinati...

Ngày tải lên: 17/12/2013, 15:21

... Topics l l Inside the Router Ÿ Routers are computers Ÿ Router CPU and Memory Ÿ Internetwork Operating System Ÿ Router Bootup Process Ÿ Router Ports and Interfaces Ÿ Routers and the Network ... the Router l Routers are computers l Router CPU and Memory l Internetwork Operating System l Router Bootup Process l...

Ngày tải lên: 09/03/2014, 13:20

... 2 Chapter – Introduction to Computers and C++ Programming Outline 1. 16 1. 17 1. 18 1. 19 1. 20 1. 21 1.22 1. 23 1. 24 1. 25 1. 26 History of the Internet History of the World Wide ... operands) – Example: sum = variable1 + variable2; © 2003 Prentice Hall, Inc All rights reserved 1 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 // Fig 1. 6: fig 01_...

Ngày tải lên: 10/03/2014, 06:20

... better, customized services for an edge (e.g in Customer Relationship Management) © Tan,Steinbach, Kumar Introduction to Data Mining Why Mine Data? Scientific Viewpoint Data collected and stored at ... the data is never analyzed at all 4,000,000 3,500,000 The Data Gap 3,000,000 2,500,000 2,000,000 1, 500,000 Total new disk (TB) since 19 95 1, 000,000 Number of analysts 500...

Ngày tải lên: 15/03/2014, 09:20

... p2 p3 p4 p1 p3 p4 p2 0 y 1 p1 p1 p2 p3 p4 x 2. 828 3.1 62 5.099 p2 2. 828 1.414 3.1 62 p3 3.1 62 1.414 p4 5.099 3.1 62 Distance Matrix © Tan,Steinbach, Kumar Introduction to Data Mining 50 Minkowski ... Tan,Steinbach, Kumar Introduction to Data Mining 42 Mapping Data to a New Space Fourier transform Wavelet transform Two Sine Waves © Tan,Steinbach, Kumar Two Sine Wa...

Ngày tải lên: 15/03/2014, 09:20

... object Introduction to Data Mining separate face becomes a Star Plots for Iris Data Setosa Versicolour Virginica © Tan,Steinbach, Kumar Introduction to Data Mining 29 Chernoff Faces for Iris Data ... Tan,Steinbach, Kumar Introduction to Data Mining 35 OLAP Operations: Data Cube The key operation of a OLAP is the formation of a data cube A data cube is a...

Ngày tải lên: 15/03/2014, 09:20

... same data! 10 © Tan,Steinbach, Kumar Introduction to Data Mining Decision Tree Classification Task Decision Tree © Tan,Steinbach, Kumar Introduction to Data Mining Apply Model to Test Data Test Data ... P(C2) = 4/ 6 Error = – max (2/6, 4/ 6) = – 4/ 6 = 1/3 Introduction to Data Mining 43 Comparison among Splitting Criteria For a 2-class problem: © Tan...

Ngày tải lên: 15/03/2014, 09:20

... (3) until stopping criterion is met © Tan,Steinbach, Kumar Introduction to Data Mining 14 Example of Sequential Covering (ii) Step © Tan,Steinbach, Kumar Introduction to Data Mining 15 Example ... Tan,Steinbach, Kumar Introduction to Data Mining 27 Indirect Methods © Tan,Steinbach, Kumar Introduction to Data Mining 28 Indirect Method: C4.5rules Extract rules f...

Ngày tải lên: 15/03/2014, 09:20

... 159 3 56 357 68 9 Introduction to Data Mining 367 368 22 Subset Operation Using Hash Tree Hash Function transaction 1+ 23 56 2+ 3 56 12+ 3 56 1,4,7 3+ 56 3 ,6, 9 2,5,8 13+ 56 234 567 15+ 145 1 36 345 ... 159 Introduction to Data Mining 3 56 357 68 9 367 368 23 Subset Operation Using Hash Tree Hash Function transaction 1+ 23 56 2+ 3 56 12+ 3 56 1,4,7 3+ 56 3 ,6, 9...

Ngày tải lên: 15/03/2014, 09:20

... viable candidate, then it can be obtained by merging w with < {1} {2 6} {5}> © Tan,Steinbach, Kumar Introduction to Data Mining 37 GSP Example © Tan,Steinbach, Kumar Introduction to Data Mining ... 0. 17 = 0.9 Sup(W1, W2, W3) = + + + + 0. 17 = 0. 17 © Tan,Steinbach, Kumar Introduction to Data Mining 20 Multi-level Association Rules Food Electronics Bread Computer...

Ngày tải lên: 15/03/2014, 09:20