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CSU Chico - CIVL - 598
CIVL 598 Asphalt Paving MaterialsHot Mix Asphalt Concrete (HMA) Mix DesignsObjective: Develop an economical blend of aggregates and asphalt binders that meet design requirements Traditional mix design methods Marshall Hveem New Superpave gyra
CSU Chico - CIVL - 598
CIVL 598 Asphalt Paving MaterialsMIXTURE DESIGNSuperpave Mix DesignHMASuperpave Mix Design1HMASuperpave Mix Design2HMA Mix Design Objective: Develop an economical blend of aggregates and asphalt binder that meet design and functio
CSU Chico - CIVL - 598
CSU, Chico Department of Civil Engineering CIVL 598 Asphalt Pavement Materials Fall 2007 Instructor: DingXin Cheng, Ph.D. , Assistant Professor of Civil Engineering Office: Langdon 209H Phone: (530) 898-5114; Email: dxcheng@csuchico.edu Course Hours:
CSU Chico - CIVL - 598
STANDARD SPECIFICATIONSSTATE OF CALIFORNIA BUSINESS, TRANSPORTATION AND HOUSING AGENCY DEPARTMENT OF TRANSPORTATION MAY 2006ISSUED BY DEPARTMENT OF TRANSPORTATIONCurrent price for additional copies of this book may be obtained by writing STATE O
CSU Chico - CIVL - 589
FOG SEALS & REJUVENATORS The Importance of Pavement Maintenance FOG SEAL & REJUVENATORS The Asphalt Emulsion Manufacturers Association (AEMA) defines a fog seal as "a light spray application of dilute asphalt emulsion used prima
CSU Chico - CIVL - 589
Soil StabilizationBy: Monica AcostaOverview What is Soil Stabilization? History Types of Stabilizers Lime Portland Cement Placement ConclusionWhat is Soil Stabilization?Improving the engineering properties of soils used for pavement ba
CSU Chico - CIVL - 589
Department of Civil Engineering CIVL 598 Asphalt Pavement MaterialsGAPGRADED RUBBERIZED ASPHALT CONCRETE OVERLAYSSubmitted to:DingXin Cheng, Ph.D., PE Assistant ProfessorSubmitted by:Mark Rabo Undergraduate StudentDate Submitted:Decem
CSU Chico - CIVL - 589
Department of Civil Engineering Civil 598 Written Research ReportRubberized Asphalt ConcreteSubmitted to: Dr. DingXin Cheng Professor Submitted by: Israel J. Patterson Undergraduate Student December 12, 2007Date Due:Date Submitted: December
CSU Chico - CIVL - 589
Jalwat Ahmad Civil 598 Wet and Dry Process Discarded tires have become a growing environmental concern in the United States. Approximately 285 million tires are disposed of annually with about 100 million of them either being resold, retreated, or us
CSU Chico - CIVL - 415
Grain Size Analysis - Mechanical Description of Soil: Testing Method: ASTM D1140-54 Tested by: Date: Mass of Dry Sample + Dish Mass of Dish Mass of Dry Sample Sieve analysis and grain shape Mass of % Seive + Mass retained Diam. Mass of Retained Retai
CSU Chico - CIVL - 415
Grain Size Analysis - Mechanical Description of Soil: Testing Method: ASTM D1140-54 Tested by: Date: Mass of Dry Sample + Dish Mass of Dish Mass of Dry Sample Sieve analysis and grain shape Mass of % Seive + Mass retained Diam. Mass of Retained Retai
CSU Chico - CIVL - 415
CIVL 415 Reinforced Concrete DesignCRUMB RUBBER CONCRETE LABObjective: The objectives of this lab are to become familiar with using crumb rubber as a concrete aggregate and to determine the mechanical properties of crumb rubber concrete. Each lab
CSU Chico - CIVL - 598
Department of Civil Engineering CIVL 598 Asphalt Pavement MaterialsGAPGRADED RUBBERIZED ASPHALT CONCRETE OVERLAYSSubmitted to:DingXin Cheng, Ph.D., PE Assistant ProfessorSubmitted by:Mark Rabo Undergraduate StudentDate Submitted:Decem
CSU Chico - CIVL - 598
Department of Civil Engineering Civil 598 Written Research ReportRubberized Asphalt ConcreteSubmitted to: Dr. DingXin Cheng Professor Submitted by: Israel J. Patterson Undergraduate Student December 12, 2007Date Due:Date Submitted: December
CSU Chico - CIVL - 598
Jalwat Ahmad Civil 598 Wet and Dry Process Discarded tires have become a growing environmental concern in the United States. Approximately 285 million tires are disposed of annually with about 100 million of them either being resold, retreated, or us
CSU Chico - CIVL - 598
CIVL 598 Asphalt Paving MaterialsAsphalt RubberThis LectureAnnouncement:Objectives: Module 1: Introduction of AR Module 2: Structural Design of RAC Module 3: AR Material Module 1: Introduction Outline History of Asphalt Rubber (AR
CSU Chico - CIVL - 598
CIVL 598 Asphalt Paving MaterialsAsphalt RubberThis Lecture Module 1: Introduction of AR Module 2: Structural Design of RAC Module 3: AR Material Module 4: Construction 4.0 ConstructionManufacture, Delivery, Placement, and Compaction
CSU Chico - CIVL - 598
CI VL 598 Asphalt Paving M ater ialsAsphalt RubberT his L ectur e M odule 1: I ntr oduction of AR M odule 2: Str uctur al D esign of RAC M odule 3: AR M ater ial M odule 4: Constr uction M odule 5: I nspection Guide 5.0 I nspection Gui
Toledo - LINK - 200204
The Estimation of Chinas Economic Growth RateL.R. Klein and S. OzmucurThere is always uncertainty in connection with the estimation of a countrys GDP and its rate of growth. There are problems of concept, missing data, incorrect reporting, sampling
Toledo - LINK - 200204
Prospects for the World Economy April 2002Ray Barrell, Nigel Pain, Dawn Holland NIESRProspects and Problems Overall prospects have been revised Did we understand the economy Were our assumptions wrong Major problems could still emerge Oil pr
Toledo - LINK - 200204
Oil Price ForecastRobert K. Kaufmann Project LINK Spring Meeting April 24, 2002http:/www.bu.edu/cees/readmoreRK.htmlOil Prices: Past, Present, Future26 24 22 20 18 16 14 12 10 1997 1998 1999 2000 2001 2002 2003 2004 2005Brief Outline of Talk
Toledo - LINK - 200204
Consumer Behavior under the Influence of Terrorism within the United StatesL.R. Klein and Suleyman OzmucurThe macrodynamics of the US economy have been extraordinary in the terrorist environment. This is an extremely important issue because consume
Duke - CPS - 110
Lecture Thread: Unix process-oriented system callsLecture context switch = Timer interrupt goes off + Save current lecture state (ESC out of current powerpoint slideshow) + Load state of other lecture (choose powerpoint window) + Reset timer + Run n
Berkeley - ASTRO - 00282445
-22.490000 1.2700000 155.52354 43.380986 1.2700000 13.150000 187.96763 61.538628 13.150000 21.070000 246.43293 76.015441 21.070000 25.030000 437.77876
Berkeley - ASTRO - 00282445
-22.490000 1.2700000 155.52354 43.380986 1.2700000 13.150000 187.96763 61.538628 13.150000 21.070000 246.43293 76.015441 21.070000 25.030000 437.77876
Berkeley - ASTRO - 00282445
# Time [days] Mag Magerr Band Uplim Ref -0.00031 11.8 -0.2 none yes GCN6579 0.00157 11.8 -0.2 none yes GCN6579 0.00164 18.5 -0.2 White yes GCN6542 0.0
Berkeley - ASTRO - 00282445
-26.784 11.8 0.2 none yes 135.648 11.8 0.2 none yes 1372.9 19.1 0.2 Rc yes 5882.11 18.9 0.2 Rc yes 26847.1 -0.2
Berkeley - ASTRO - 00282445
-26.784 5.868819e-02 1.081076e-02 none yes 135.648 5.868819e-02 1.081076e-02 none yes
Berkeley - ASTRO - 00282445
-26.784 5.868819e-02 1.081076e-02 none yes 135.648 5.868819e-02 1.081076e-02 none yes 1372.9 7.055872e-05 1.299740e-05 Rc yes 5882.11 8.483024e-05 1.562631e-05
Berkeley - ASTRO - 00282445
<html><head><title>Your NED Search Results</title></head><body background="/pics/NEDbgHelp.gif" bgcolor="#FFFFFF"><center><font size=6 color="#CC3333"><b>N</b></font><font size=4 color="#000000"><b>ASA/IPAC</b></font>&nbsp;<font size=6 color="#CC
Berkeley - ASTRO - 00282445
138.036 138.494 96.882 22.3282138.494 138.624 173.076 55.5189138.624 138.79 135.542 43.4787138.79 138.912 159.316 53.1052138.912 139.039 153.043 51.0145139.039 139.332 71.5639 23.4065139.332 139.615 82.6987 26.8049139.615 139.745 149.512 49.83
Berkeley - ASTRO - 00282445
#ra dec hmag dhmag031.922869 56.735802 16.206 0.121031.936508 56.748104 14.933 0.041031.882869 56.745426 16.460 0.138031.895448 56.739319 12.691 0.024031.936450 56.740696 16.046 0.090031.919566 56.747318 15.785 0.081031.918432 56.739094
Berkeley - ASTRO - 00282445
;instrument XRT;exposure 91323.705;xunit kev;bintype counts 0.0000000 0.0049999999 13.973423 1.00000 0.0049999999 0.0099999998 14.023281 1.00000 0.0099999998 0.015000000 14.073139 1.0
Berkeley - ASTRO - 00282445
#ra dec rmag drmag32.32761256.69785619.8460.12732.13125256.69550419.4740.09132.10051356.69511418.8300.05032.05817256.69453219.7300.11431.97309456.69338019.1240.06631.93091556.69278819.8350.12731.89342356.69223319.6740.110
Berkeley - ASTRO - 00282445
chi^2/nu= 146.43801 / 5788.00The fit is rejectable at 0.0000000 % Confidence#index t1 t2 fade_index delta_mag_pk hindex dhindex rate1 drate1 rate2 drate2 logr dlogr 0 0.1380 0.1427 5.75 -0.5 2.71 5.48 2.56E+0
Berkeley - ASTRO - 00282445
# t1 t2 dt cts1 err1 cts2 err2 bg1 bg_err1 bg2 bg_err2 0.138036 0.138494 0.000458 5.850935 3.792894 38.521028 9.496928 0.627903 0.627903 2.511612 1.255806 0.138494 0.138624 0.0001
Berkeley - ASTRO - 00282445
# tmin tmax 0.975008 371.12283 [ksec];instrument XRT;exposure 86547.090;xunit kev;bintype counts0.000000 0.010000 0.000000 0.0000000.010000 0.020000 0.000000 0.0000000.020000 0.030000 0.000000 0.0000000.030000 0.040000 0.00000
Berkeley - ASTRO - 00282445
# tmin tmax 0.975008 371.12283 [ksec];instrument XRT;exposure 86547.090;xunit kev;bintype counts0.000000 0.010000 0.000000 0.0000000.010000 0.020000 0.000000 0.0000000.020000 0.030000 0.000000 0.0000000.030000 0.040000 0.00000
Berkeley - ASTRO - 00282445
output00282445000_999/sw00282445000xwtw2po_cl.evt
Berkeley - ASTRO - 00282445
# Ep dEp lprob lEiso dlEiso149.165 0.119 6.72e-05 -7.626 0.022149.289 0.131 -3.71e-04 -7.626 0.021149.429 0.150 -8.54e-04 -7.626 0.021149.590 0.172 -1.43e-03 -7.626 0.020149.775 0.197 -2.21e-03 -7.626 0.020149.987 0.226 -3.11e-03 -7.626 0.0201
Berkeley - ASTRO - 00282445
# Ep lEiso96.449 -7.91497.794 -7.925102.965 -7.827104.394 -7.824105.152 -7.843106.880 -7.858107.457 -7.785107.920 -7.768108.630 -7.844108.658 -7.843109.159 -7.813110.028 -7.821110.349 -7.782111.011 -7.796111.651 -7.775111.819 -7.7641
Berkeley - ASTRO - 00282445
# Ep dEp lprob lNiso dlNiso149.165 0.119 6.72e-05 9.551 0.068149.289 0.131 -3.69e-04 9.551 0.074149.429 0.150 -8.54e-04 9.551 0.074149.590 0.172 -1.51e-03 9.551 0.074149.775 0.197 -2.17e-03 9.551 0.075149.987 0.226 -3.05e-03 9.551 0.075150.229
Berkeley - ASTRO - 00282445
;instrument XRT;exposure 88727.335;xunit kev;bintype counts 0.0000000 0.0049999999 13.989890 1.00000 0.0049999999 0.0099999998 14.039807 1.00000 0.0099999998 0.015000000 14.089722 1.0
Berkeley - ASTRO - 00282445
# tmin tmax 10.0000 371.12283 [ksec];instrument XRT;exposure 84034.432;xunit kev;bintype counts0.000000 0.010000 0.000000 0.0000000.010000 0.020000 0.000000 0.0000000.020000 0.030000 0.000000 0.0000000.030000 0.040000 0.00000
Berkeley - ASTRO - 00282445
# tmin tmax 10.0000 371.12283 [ksec];instrument XRT;exposure 84034.432;xunit kev;bintype counts0.000000 0.010000 0.000000 0.0000000.010000 0.020000 0.000000 0.0000000.020000 0.030000 0.000000 0.0000000.030000 0.040000 0.00000
Duquesne - BUS - 642
A Complex Web of DecisionsMost of us do not make great decisions, and few of us are aware of this fact. Lessons for Managers: Being blinded by emotions. Overreliance on intuition. Emphasize on speed. Failure to detect deception. Underestimating
Duquesne - BUS - 642
Test 2: 384/642 Please answer all three Questions. For these answers you should consult the two handouts provided in class (October 19) on rule-based systems and neural networks as well as the class notes. Please remember our 60/40 (or thereabout) ru
Duquesne - BUS - 642
FUZZY_S a 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 X 0.75 1 1.25 1.5 1.75 2 2.25 2.5 2.75 3 3.25 3.5 3.75 4 4.25 4.5 4.75 5 5.25 5.
Duquesne - BUS - 504
1.On 20 randomly selected cars, one of each type of tire is installed on the rear wheels and the cars are driven until the tires wear out. The distances are given in thousands of miles. ND stands for New Design and ED for Existing Design. Is the ne
Duquesne - BUS - 504
504 Assignment: Set 2 1. Out of the many data-files provided in you text (or any other stats text), chose a handful as a base for producing a set of graphs. Cover the five most important graphs and remember that a graph should communicate well. There
Duquesne - BUS - 504
Cash Fl. 98.5 105 100 110.5 82 77.5 70.5 68 42 62.5 80 112.5 103 68.5 80 53 54.5 58.5 70 62 66.5 95.5 73 89.5 110.5 84.5 74 84.5 75 42 105 66 83 62 61 71 56 94 62 62 58 75 110 96 92.5 76 82 69 75.5 66Liquid. 113 97.5 110 110 70 71 91.5 66 64 57 79
Duquesne - BUS - 504
OBS 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52GPA 3.32 2.26 2.35 2.08 3.38 3.29 3.21 2 3.18 2.34 3.08 3.34 1.4 1.43 2.48 3.73 3.8 4 2 3.74 2.32
Duquesne - BUS - 504
EXPONENTIAL DISTRIBUTION (Text: 281-282)A random variable X is exponentially distributed if its probability density function is given by-xf(x) = e , x 0 where e = 2.71828 . and is the parameter of the distribution ( > 0). is the expected value
Duquesne - BUS - 504
INFERENCE ABOUT THE COMPARISON OF TWO POPULATIONS CASE:With hopes of reducing its massive 350-million-gallons-a-year-gasoline bill, the U.S. Postal Service has ordered a number of electric mail trucks on an experimental basis. Officials estimate tha
Duquesne - BUS - 504
HYPOTHESIS TESTINGH0 is true Reject H0 Type I error P(Type I error) = Do not Reject H0 Correct decision Type II error P(Type II error) = H0 is false Correct decisionExample:H0: The defendant is innocent HA: The defendant is guiltyWhat is a T
Duquesne - BUS - 504
> 10 years < 5 years 16 12 29 3 22 37 14 20 18 25 19 16 18 54 0 56 8 8 11 20 4 23 31 34 16 33 12 29 19 35 9 32 2 17 24 14 10 17 13 30 2 39 14 26 15 10 5 32 20 33 31 26 18 22 8 8 43 12 23 7 4 33 19 12 9 19 3 20 8 23 24 26 33 8 43 12 23 22 13 32 45 41
Duquesne - BUS - 504
Tickets Snowfall Temperature 6835 19 11 7870 15 -19 6173 7 36 7979 11 22 7639 19 14 7167 2 -20 8094 21 39 9903 19 27 9788 18 26 9557 20 16 9784 19 -1 12075 25 -9 9128 3 37 9047 17 -15 10631 0 22 12563 24 2 11012 22 32 10041 7 18 9929 21 32 11091 11 -
Duquesne - BUS - 281
1.The below data relate Hotel Room Vacancy Rate (Y) to Temperature (X1) and Currency (X2) for a sample of 25 days in a coastal resort area in Florida. What is the correlation coefficient relating Vacancy and Temperature? Vacancy: Y 28 34 19 32 21 4