1 applicatiion data industrial automation wiring and grounding guidelines

... Tel: (1) 414 382-2000 Fax: (1) 414 382-4444 Publication 17 70-4 .1 – February 19 98 Supersedes Publication 17 70-4 .1 — November 19 95 Publication 17 70-4 .1 – February 19 98 PN 95 511 8-08B Copyright 19 98 ... the transformer Refer to Figure 11 and Table C for suppressors to use Publication 17 70-4 .1 – February 19 98 19 242 14 Industrial Automation Wiring and Grounding Guidelines Isolation Transformer ... the Electrocube catalog Publication 17 70-4 .1 – February 19 98 19 2 41 Industrial Automation Wiring and Grounding Guidelines 11 Connect one input directly to the L1 side of the line, on the load side...

Ngày tải lên: 22/12/2013, 21:18

... corrects data errors Managerial data Managers print invoices Final time and billing information Activity 3 .1: Identifying Data- Related Use Cases and Data Requirements Exercise 2: Identifying Hidden Data ... 8 Activity 3 .1: Identifying Data- Related Use Cases and Data Requirements Exercise 1: Identifying Use Cases that Require Data In this exercise, you will identify data requirements from ... actions 10 Activity 3 .1: Identifying Data- Related Use Cases and Data Requirements Exercise 3: Identifying Nonfunctional Requirements In this exercise, you will identify any nonfunctional data requirements...

Ngày tải lên: 21/12/2013, 06:16

... F…I; I† ˆ 1: F…ÀI; x2 † ˆ F…x1 ; ÀI† ˆ 0: F…x1 ‡ a1 ; x2 ‡ a2 † ! F…x1 ; x2 †, where a1 ; a2 ! p…a1 < X1 b1 ; a2 < X2 b2 † ˆ F…b1 ; b2 † À F…a1 ; b2 † À F…b1 ; a2 † ‡ F…a1 ; a2 †: p…x1 ˆ x1 ; X2 ... of size n, which becomes f1;nXn …x1 ; x2 † ˆ n…n À 1 f …x1 † f …x2 †‰F…x2 † À F…x1 †ŠnÀ2 x1 x2 1. 10.3.2 n3I n3f …x1 † f …x2 †F …x1 † 1 À F…x2 †Š …i À 1 3…n À i À 1 3 x1 x2 if F…x† ˆ if F…x† > ... …X1 ; X2 †: The pmf must satisfy the following properties: ˆˆ p…x1 ; x2 † ˆ and p ˆ …x1 ; x2 † ! x1 PA x2 PA P…a1 ˆ X1 ˆ F…x† ˆ p…X1 x1 ; F F F ; Xn xn † … x1 … xn FFF f …x1 ; F F F ; xn † dx1...

Ngày tải lên: 10/08/2014, 04:21

... Nature 323 (19 86) p 533 - 536 Tozawa, Y., "Progress of ethylen production plant", MOL 10 (19 90), p 73 - 91 von Altrock, "Fuzzy Logic and NeuroFuzzy Applications Explained", ISBN 0 -13 36-8465-2, ... learning from data sets (+++) Fuzzy Logic Explicit, verification and optimization easy and efficient (+++) None, you have to define everything explicitly (-) Figure 13 : Both neural nets and fuzzy ... Edition [3] and the NeuroFuzzy Module [4] as add-on for the design Figure 16 : Structure and membership functions of the fuzzy logic glass classifier As sample data, we recorded the output data of...

Ngày tải lên: 13/12/2013, 01:15

... Nature 323 (19 86) p 533 - 536 Tozawa, Y., "Progress of ethylen production plant", MOL 10 (19 90), p 73 - 91 von Altrock, "Fuzzy Logic and NeuroFuzzy Applications Explained", ISBN 0 -13 36-8465-2, ... learning from data sets (+++) Fuzzy Logic Explicit, verification and optimization easy and efficient (+++) None, you have to define everything explicitly (-) Figure 13 : Both neural nets and fuzzy ... Edition [3] and the NeuroFuzzy Module [4] as add-on for the design Figure 16 : Structure and membership functions of the fuzzy logic glass classifier As sample data, we recorded the output data of...

Ngày tải lên: 22/12/2013, 10:15

... C A 416 11 00 10 01 10 10 010 02 or 11 0 010 011 010 010 02 Process Control, Automation, Instrumentation and SCADA An example of addition is given below: 10 100 010 012 0 011 1 010 102 11 011 10 011 2 Subtraction ... 16 -1 remainder Hexadecimal equivalent Binary equivalent 0 0000 1 00 01 remainder (MSB) 3 0 010 0 011 4 010 0 5 010 1 6 011 0 7 011 1 8 10 00 9 10 01 10 Decimal number A 10 10 11 B 10 11 12 C 11 00 13 D 11 01 ... following number: 0x24 + 1x23 + 0x22 + 1x 21 + 1x20 + 1x2 -1+ 0x2-2 + 11 00 13 11 01 111 0 15 11 11 Table C.3 Equivalent Binary and Decimal Numbers 2-5 10 11 12 14 Weight 10 10 11 The same principles for...

Ngày tải lên: 15/05/2014, 11:03

... 15 4 18 0 200 17 5 17 8 17 6 19 9 15 0 12 4 77 0.6 15 3 17 4 18 6 15 1 14 8 12 0 14 3 10 8 11 4 13 5 10 1 14 4 11 1 14 5 11 6 0.7 18 9 19 4 15 9 10 6 14 9 10 9 14 0 95 36 12 3 12 1 0.8 18 1 18 8 16 7 16 3 16 6 10 4 14 7 86 0.9 18 5 11 8 ... 49 16 29 40 28 12 1 13 7 14 3 10 7 10 9 10 8 13 4 12 6 13 0 14 0 13 8 0.368 17 5 13 2 19 3 13 9 15 8 15 3 200 19 7 19 4 19 6 19 9 19 8 16 8 17 7 16 0 17 0 15 1 17 3 17 2 18 5 18 1 18 7 16 1 16 9 17 9 16 6 16 5 16 3 15 6 19 1 18 4 58 15 7 ... 80 19 2 0.8 12 1 13 7 14 3 0.7 10 7 10 9 10 8 13 4 12 6 13 0 14 0 13 8 0.6 0.5 17 5 13 2 19 3 13 9 15 3 15 8 19 4 19 6 200 19 7 19 8 19 9 16 8 17 0 15 1 17 7 16 0 17 3 15 9 16 7 17 2 18 5 18 7 91 125 14 5 0.9 13 1 11 6 15 0 10 3 10 4...

Ngày tải lên: 05/08/2014, 21:21

... methods and global LDA to the simulated data sets and obtain 12 80 test data error rates ri , i = 1, , 12 80, for every method The chosen 74 Julia Schiffner and Claus Weihs Table Bayes errors and ... ALLWEIN, E L and SHAPIRE, R E and SINGER, Y (2000): Reducing Multiclasss to Binary: A Unifying Approach for Margin Classifiers Journal of Machine Learning Research 1, 11 3 14 1 DEGROOT, M H and FIENBERG, ... 0. 614 0.973 0.909 0.960 0.840 0.953 0.892 B3 Cr Cal 0.490 0.573 0.752 0.756 0.7 71 0.756 0.777 0.739 balance Cr Cal 0.302 0. 414 0.970 0.946 0.954 0.886 0.8 51 0. 619 P1–v–rest,no P1–v–rest,map P1–v–rest,assign...

Ngày tải lên: 05/08/2014, 21:21

... taken 200 200 18 0 18 0 16 0 16 0 14 0 14 0 12 0 12 0 10 0 10 0 80 80 60 60 40 40 20 20 20 40 60 80 10 0 12 0 14 0 16 0 18 0 200 20 40 60 80 10 0 12 0 14 0 16 0 18 0 200 Fig Problem fourclass (Schoelkopf and Smola 2002) ... 00 :14 .73 00 :14 .63 Classif Accuracy % 95.78 % 91. 01 % 91. 01 % USPS (Min-Max) RBF Kernel 17 5 51. 5 5 51. 5 1. 37 13 .14 1. 05 1. 04 13 .23 1. 05 H1-SVM H1-SVM RBF/H1 RBF/H1 Gr-Heu Gr-Heu Nr SVs or 3597 49 49 Hyperplanes ... hull of class CC1 , then it can be written as s 1 = i xi i∈CC1 and s 1 = j∈CC 1 xj m 1 with i ≥ for all i ∈ CC1 and i∈CC1 i = If additionally, D1 ≥ max D 1 m 1 , where max = maxi∈CC1 { i }, then...

Ngày tải lên: 05/08/2014, 21:21

... distribution with means (0, 0, 0), (10 , 10 , 10 ), ( 10 , 10 , 10 ), (10 , 10 , 10 ), ( 10 , 10 , 10 ), and identity covariance matrix , where j j = (1 ≤ j ≤ 3), and jl = (1 ≤ j = l ≤ 3) Model Four clusters ... DNA 212 4 10 62 18 0 Letter 16 000 4000 16 26 Satellite 4290 214 5 36 Iris 10 0 50 Spam 3000 16 01 57 Diabetes 512 256 Sonar 13 8 70 60 Vehicle 564 282 18 Soybean 455 228 34 19 Zip 72 91 2007 256 10 Table ... 0.96627 0 .12 128 0.5 019 8 0.96993 0.99626 0.22358 0. 411 07 0.99 911 1. 00000 0.73259 0.89642 0.44540 0.45403 90.67% 97 .11 % 0.04388 0.03978 0.08497 0 .10 373 mcquitty 0.2 511 4 0. 417 96 0.35435 0. 514 87 0.47083...

Ngày tải lên: 05/08/2014, 21:21

... COPK-Means ssALife with U*C 71 65.7 10 0 96.4 55.2 10 0 10 0 93.4 90 10 0 10 0 10 0 10 0 10 0 10 0 10 0 10 0 96.3 Fig Density defined clustering problem EngyTime: (a) partially labeled data (b) ssALife produced ... [0000000]2 , 64 = [10 00000]2 = 26 , 32 = [ 010 0000]2 = 25 , = [000 010 0]2 = 22 , 20 = [0 010 100]2 = 22 + 24 , 12 = [00 011 00]2 = 22 + 23 , = [00000 01] 2 , = [0000 011 ]2 = + 21 Any encoding of some data set ... Applications 3 .1 Gordon-Vichi macroeconomic ensemble Gordon and Vichi (20 01, Table 1) provide soft partitions of 21 countries based on macroeconomic data for the years 19 75, 19 80, 19 85, 19 90, and 19 95...

Ngày tải lên: 05/08/2014, 21:21

... repeat (c1 , c2 ) ← 10 : 11 : 12 : 13 : argmax c1 ,c2 ∈P∧(c1 ×c2 )∩Rcl = sim(c1 , c2 ) if sim(c1 , c2 ) ≥ then P ← (P \ {c1 , c2 }) ∪ {c1 ∪ c2 } end if until sim(c1 , c2 ) < 14 : return P 15 : end procedure ... 9 01 912 GAUL, W and SCHADER, M (19 88): Clusterwise aggregation of relations Applied Stochastic Models and Data Analysis, 4, 273–282 15 4 Kurt Hornik and Walter Böhm GORDON, A D and VICHI, M (19 98): ... (cf Tong (19 80), p 10 2ff for the definition of

Ngày tải lên: 05/08/2014, 21:21

... follows: (t +1) (t +1) K |··· ∼ W 1( t +1) |··· k ∼ N (nk ⎛ , k =1 | · · · ∼ D( + n1 , , + nK ), (t +1) |··· k (t) 1 1 ) k + 2g , (2h + (t) 1 k + ) 1 (nk ∼ W ⎝2 + nk , (2 (t +1) (t) 1 yk + k + i:zi ... of Y1 , the nonresponse probabilities for (Y2 ,Y3 ) are 0 .1 if y1 < q1 , 0.2 if y1 ∈ [q1 , q2 ), 0.4 if y1 ∈ [q2 , q3 ) and 0.5 if y1 ≥ q3 The sample u is multiply imputed (m=5) via GMM Data ... The first row is taken from Hardin and Rocke’s paper Technique Hardin and Rocke FS-based = 0. 01 Measures of performance (A − 1) · 10 0 (B − 1) · 10 0 4.03 0. 01 -0 .17 -0.05 In Table the measures of...

Ngày tải lên: 05/08/2014, 21:21

... Kerf1 =1 Tie =1 Walle=3 Pin=3 Black=2 Walle=2 Kerf2 =1 Pin =1 Hat =1 Keyri =1 Sculp =1 Umbre =1 Trays =1 Fem-T =1 Light =1 MetWa =1 Cap =1 Trayp=3 Silve=3 Hat=3 Trays=3 Umbre=3 Factor - 14 .13 % Tie=3 SkinW =1 ... Umbre=3 Factor - 14 .13 % Tie=3 SkinW =1 Sweat =1 Black =1 T-shi =1 Backp =1 SWBPe =1 Trayp =1 Mouse =1 Bag =1 Cup =1 Walle =1 Silve =1 Sculp=3 Kerf1=3 Kerf2=3 BlueP =1 Cup=4 Mouse=4 T-shi=4 Bag=4 Light=4 BlueP=4 ... umbh + 0 .13 35 ∗ tie + 0.20 41 ∗ textiles + 0. 211 4 ∗ bag +0 .17 91 ∗ wat + 0 .12 92 ∗ mous + 0.08 81 ∗ scul + 0.2322 ∗ pens (1) Data Mining of an On-line Survey - A Market Research Application 18 9 umbh...

Ngày tải lên: 05/08/2014, 21:21

... Denote B0 = B and Y0 = Y the design and response data matrices, respectively Define t1 = B0 w1 and u1 = Y0 c1 as the first MAPLSS components, where the weighting unit vectors w1 and c1 are computed ... Vanacore and Jean-Francçois Durand limits (Wu and Wang, 19 97; Jones and Woodall, 19 98; Liu and Tang, 19 96) has been followed Multivariate control charts based on projection methods A standard multivariate ... Ncube, 19 85; Lowry et al., 19 92; Jackson, 19 91; Liu, 19 95; Kourti and MacGregor, 19 96, MacGregor, 19 97) In particular, we focus on the approach based on PLS components proposed by Kourti and MacGregor...

Ngày tải lên: 05/08/2014, 21:21

... viol c4–c4 c4–e4 c4–g4 c4–a4 c4–c5 1 1 1 1 1 1 1∗ 1 1∗ 1 1 instrument notes flu guit pian trum viol c4–c4 c4–e4 c4–g4 c4–a4 c4–c5 1 1 1 1 1 1 1∗ 1 1 1∗ 1 1 4.3 Results with extended polyphonic ... 1 1 0 1 0 1 0 instrument notes flu guit pian trum viol c4–c4 c4–e4 c4–g4 c4–a4 c4–c5 1 1 1 1 1 1 1 1 1 1 330, 390, 440 and 523 Hz) out of two groups of instruments, string instruments and wind ... 68,50 75 ,10 tion Optimality 97,40 96,60 96 ,10 96 ,10 96 ,10 81, 90 90,40 91, 00 90,50 Note: TCCS, POLCOURT and SCSCIENCE stand for “Teacher, Clerck and Civil Servant”, “Politics & Court” and “Scolarship...

Ngày tải lên: 05/08/2014, 21:21

... watermark database Table Averaged precision and recall at N/2 for the watermark database Classes 10 11 12 13 14 N 322 11 5 13 9 71 91 44 19 7 12 6 99 33 14 31 17 416 P(N/2) 492 243 214 14 4 10 9 244 17 3 ... Classes 10 11 12 13 14 Total TP 919 870 8 71 465 758 773 817 865 919 546 5 71 1.00 824 995 874 FP 037 0 01 019 012 011 003 025 008 002 004 0 01 0 008 12 5 The class names are listed in Section 3 .1 244 ... -400 log likelihood -200 275 -800 -10 00 -12 00 10 0 passing aborted passing follow -14 00 -16 00 200 10 -10 0 15 20 25 30 time (s) -200 passing vs follow 10 12 14 16 18 20 22 time (s) Fig (Left) Likelihood...

Ngày tải lên: 05/08/2014, 21:21

... 14 814 17 158 16 009 17 158 0.653 0.077 96 10 35 11 4 15 913 17 158 0. 314 12 42 860 633 6 51 112 4 516 498 25 14 767 17 158 15 149 17 158 16 009 17 158 0.643 0.640 0 .14 8 M1 M2 * M3 ** 287 19 1 3548 850 3 31 3 31 ... of all co-inspections 546 Andreas W Neumann and Andreas Geyer-Schulz 0.6 0.4 1+ 1 +1+ 1 +1+ 1 2 +1+ 1 +1+ 1 2+2 +1+ 1 2+2+2 3 +1+ 1 +1 3+2 +1 3+3 4 +1+ 1 4+2 5 +1 0.0 0.2 probability 0.8 1. 0 Partition probabilities ... MeNonV BT Ratios V BT NonV BT V BT NonV BT Test1 Test2 ROS 9.52 3.93 5.39 2 .16 10 3 11 6 ROE 6.7 3.83 3.3 2. 01 111 11 0 ROI 6.85 3.83 -1. 51 1.5 11 3 10 5 12 0 58** Leverage 79.75 72.52 226.96 88.28 governance...

Ngày tải lên: 05/08/2014, 21:21

... XML_Unserializer Parsing RSS with XML_RSS Summary 10 7 10 9 11 0 11 3 11 6 11 8 12 0 12 3 12 7 12 9 13 1 13 2 13 3 13 6 13 9 14 0 14 2 14 3 14 5 14 8 15 4 15 6 15 6 15 7 16 1 Chapter 4: Web Services Consuming Web Services ... Shortcuts 12 12 12 13 14 14 15 15 16 Option "persistent" Option "portability" getAssoc() 11 11 17 Table of Contents Data Types Setting Data Types Setting Data Types when Fetching Results Setting Data ... Management 16 3 16 4 16 4 17 0 17 3 17 3 17 9 18 8 19 6 19 7 202 Offering SOAP-Based Web Services 205 Offering REST-Based Services using XML_Serializer 212 Error Management Our Own REST Service Summary 210 214 ...

Ngày tải lên: 06/08/2014, 03:20