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Course: SP 2000, Fall 2009
School: UPenn
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1 Correlations Table valued salwrka primary value of added by s%wgwrk horse-power products manufacture 1.000 -.057 -.043 -.044 . .367 .488 .486 258 257 258 258 -.057 1.000 .988** .988** .367 . .000 .000 257 257 257 257 -.043 .988** 1.000 .997** .488 .000 . .000 258 257 258 258 -.044 .988** .997** 1.000 .486 .000 .000 . 258 257 258 258 .158* -.004 .000 -.003 .011 .945 1.000 .966 258 257 258 258 .009 -.012 .007...

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1 Correlations Table valued salwrka primary value of added by s%wgwrk horse-power products manufacture 1.000 -.057 -.043 -.044 . .367 .488 .486 258 257 258 258 -.057 1.000 .988** .988** .367 . .000 .000 257 257 257 257 -.043 .988** 1.000 .997** .488 .000 . .000 258 257 258 258 -.044 .988** .997** 1.000 .486 .000 .000 . 258 257 258 258 .158* -.004 .000 -.003 .011 .945 1.000 .966 258 257 258 258 .009 -.012 .007 -.001 .896 .861 .921 .983 208 207 208 208 .089 -.037 -.029 -.031 .199 .598 .672 .655 208 207 208 208 .161** -.006 .005 .005 .009 .921 .939 .942 258 257 258 258 -.079 -.005 -.016 -.019 .207 .940 .803 .765 258 257 258 258 increasew AVERAGE incr.wag wageasp gwrks990 WAGE wrkr9909 ropsal 9recode .158* .009 .089 .161** .011 .896 .199 .009 258 208 208 258 -.004 -.012 -.037 -.006 .945 .861 .598 .921 257 207 207 257 .000 .007 -.029 .005 1.000 .921 .672 .939 258 208 208 258 -.003 -.001 -.031 .005 .966 .983 .655 .942 258 208 208 258 1.000 .116 .111 .670** . .095 .112 .000 258 208 208 258 .116 1.000 .438** .152* .095 . .000 .029 208 208 208 208 .111 .438** 1.000 .135 .112 .000 . .052 208 208 208 208 .670** .152* .135 1.000 .000 .029 .052 . 258 208 208 258 .176** -.081 -.090 -.572** .005 .246 .194 .000 258 208 208 258 AVERAGE SALARY -.079 .207 258 -.005 .940 257 -.016 .803 258 -.019 .765 258 .176** .005 258 -.081 .246 208 -.090 .194 208 -.572** .000 258 1.000 . 258 salwrkas%wgwrk primary horse-power value of products valued added by manufacture AVERAGE WAGE incr.wagwrkr9909 increasewgwrks990 9recode wageaspropsal AVERAGE SALARY Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N *. Correlation is significant at the 0.05 level (2-tailed). **. Correlation is significant at the 0.01 level (2-tailed). Table 2 Industries by Average Wages and Number of Workers: 1910 Quartile Rankings (1=lowest; 4=highest) automobiles, including bodies and parts babbitt metal and solder beet sugar belting and hose, leather bicycles, motorcycles and parts billiard tables and materials bone, carbon and lamp black butter, reworking calcium lights cars and general shop construction and repairs b cars and general shop construction and repairs b cars, steam-railroad, not including operations o cars, street-railroad, not including operations cash registers and calculating machines cloth, sponging and refinishing electroplating engraver's materials engraving and diesinking engraving, wood explosives fire extinguishers, chemical foundry and machine-shop products fur goods furs, dressed gold and silver, reducing and refining, not from ice, manufactured ink, printing instuments, professional and scientific iron and steel forgings iron and steel, blast furnaces iron and steel, steel works and rolling mills lapidary work lasts lead, bar, pipe and sheet Liquors, malt Malt Marble and stone work Models and patterns, not inclidng paper patterns Moving pictures Oil, linseed Oil, not elsewhere specified Oleomargarine Petroleum, refining Photo-engraving Printing and publishing Safes and vaults Sand and Emery Paper and Cloth Scales and balances Shipbuilding including boat building Silverware and platedware Smelting and Refining copper Smelting and Refining lead av. Wage#workers 4 4 4 1 4 3 4 2 4 2 4 1 4 1 4 1 4 1 4 4 4 4 4 4 4 2 4 3 4 1 4 2 4 1 4 1 4 1 4 3 4 1 4 1 4 3 4 1 4 1 4 3 4 1 4 3 4 3 4 4 4 4 4 1 4 1 4 1 4 4 4 2 4 4 4 2 4 1 4 1 4 2 4 1 4 3 4 3 4 4 4 2 4 1 4 2 4 4 4 3 4 3 4 3 Smelting and refining zinc Soda-water apparatus Statuary and art goods Stereotyping and electrotyping Stoves and furnaces, including gas and oil stove Supluric, nitric, and mixed acids Tin plate and terneplate Typewriters and supplies Wood carpet Woolpulling agricultural implements artificial stone brass and bronze products bread and other bakery products butter, cheese and condensed milk carriages and wagons and materials cement chemicals china decorating clocks and watches, including cases and material copper, tin, and sheet-iron products crucibles cutlery and tools, not elsewhere specified dairymen's, poulterers' and apiarists' supplies dyestuffs and extracts electrical machinery, apparatus and supplies emery and other abrasive wheels firearms and ammunition flour-mill and gristmill products foundry supplies fuel, manufactured galvanizing gas and electric fixtures, lamps and reflectors gas, illuminating and heating glass glass, cutting, staining and ornamenting glucose and starch graphiteand graphite refining grease and tallow handstamps and stencils and brands hats and caps, other than felt, straw and wool hats, fur-felt horseshoes, not made in steel works or rolling m iron and steel pipe, wrought iron and steel, doors and shutters Locomotives, not made by railroad companies Mirrors Mucilage and paste Musical instruments and materials not specified Musical instruments, pianos and organs and mater Oil cloth and linoleum Oil, Caster Paints and Varnish Paper and wood pulp Pens, fountain, stylographic, and gold Phonographic apparatus and materials Phonographs and graphones 4 4 4 4 4 4 4 4 4 4 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 3 3 3 3 3 3 3 3 2 2 2 4 2 3 3 1 1 4 3 4 4 4 4 4 4 1 4 4 1 4 3 3 4 2 3 4 1 1 1 4 4 4 3 3 1 2 2 3 4 1 3 2 3 2 1 2 4 3 1 3 4 1 3 3 Pumps, not including steam pumps Roofing Materials Rubber goods, not elsewhere specified Saws Screws, machine Sewing Machines, cases, and attachments Show cases Signs and advertising novelties Slaughtering and meat packing Smelting and refining not from the ore Springs, steel car and carriage Sugar and molasses, not including beet sugar Type founding and printing materials Windmills Wire Wood distillation not including terpentine and r artists material awnings, tents and sails axle grease baking powders and yeast belting and hose, woven and rubber blacking and cleansing and polishing preparation boots and shoes, including cut stock and finding boots and shoes, rubber brick and tile candles card cutting and design carpets and rugs, other than rag clothing, men's, buttonholes clothing, women's coffee and spice, roasting and grinding coffins, burial cases, and undertakers' goods coke cordials and sirups dentists' materials drug grinding dyeing and finishing textiles files flavoring extracts food preparations furniture and refrigerators glue gold and silver, leaf and foil grindstones hair work haircloth hats, straw hones and whetstones iron and steel nails and spokes cut and wrought, iron and steel, bolts, nuts, washers and rivets, jewlery and instrument cases labels and tags leather goods leather, tanned, curried, and finished Liquors, distilled Liquors, vinous Looking-glass and picture frames 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 4 3 2 4 2 3 4 2 2 3 2 2 4 3 1 2 1 2 3 2 4 3 4 1 1 4 1 4 3 3 4 1 2 1 4 2 1 3 4 2 1 1 2 1 3 1 2 3 2 2 4 4 3 2 3 Lumber and timber products Mattresses and Spring Beds Millinery and lace goods Millinery and soda waters Paving Materials Pipes, Tobacco Pottery, terra cotta and fire clay products Pulp Goods Rice, cleaning and polishing Rules, Ivory and wood Salt Soap Steam Packing Sugical appliances and artificial limbs Vingard and cider Wall paper Wall plaster Washing machines and cloths wringers Wheelbarrows Whips Window shades and fixtures Wlrework Including wire rope and cable Wool scouring artificial flowers/feather plumes bags, other than paper bags, paper baskets, rattan and willow ware bluing boxes, cigar boxes, fancy and paper brooms and brushes buttons canning and preserving carpets, rag carriages and sleds, childrens charcoal chocolate and cocoa products clothing, horse clothing, men's, including whirts confectionery cooperage and wooden goods, not elsewhere specif cordage and twine and jute and linen goods cork, cutting corsets cotton goods, including cotton small wares enameling and japanning fancy articles, not elsewhere specified fertilizers fireworks flags, banners, regalia, society badges embl and flax and hemp, dressed furnishing goods, men's gloves and mittens, leather hammocks hat and cap materials hosiery and knit goods house-furnishing goods, not elsewhere specified 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 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 4 3 1 3 1 2 4 1 1 1 3 2 2 2 1 2 3 2 1 2 2 3 1 3 3 2 3 1 3 4 3 3 4 2 3 1 2 2 4 4 4 4 2 3 4 2 3 4 1 2 1 4 3 1 2 4 3 ink, writing 1 kaolin and ground earths 1 Lime 1 Matches 1 Mats and Matting 1 Needles pins and hooks and eyes 1 Oakum 1 Oil, cottonseed and cake 1 Oil, essential 1 Paper good not elsewhere specified 1 Paper patterns 1 Patent Medicines and compounds and druggists' pr 1 Peanuts, grading, roasting, cleaning, and shelli 1 Pencils, lead 1 Pens,steel 1 Screws, wood 1 Shoddy 1 Silk and silk goods including throwsters 1 Sporting and athletic goods 1 Stationary goods not elsewhere specified 1 Tin foil 1 Tobacco Manufacturers 1 Toys and games 1 Turpentine and Rosin 1 Umbrellas and cranes 1 Upholstering materials 1 Waste 1 Wood preserving. 1 Wood,turnedandcarved. 1 Woolen,worsted,and felt 1 jewlery lard, refined, not made in slaughtering and meat packing Optical Goods 1 2 3 2 1 3 1 3 1 4 1 4 2 2 1 2 2 4 3 3 1 4 3 4 3 2 2 2 3 4 4 1 3 Table 3 Industries in Top Two Quartiles of Female Employment in 1910 Industry Top Quartile: Female Employees at Least 51.6 Percent of Wage Workers artificial flowers/ feather plumes bags, other than paper boxes, fancy and paper clothing, mens including shirts confectionery corsets flags, banners, regalia, society badges and emblems furnishing goods, mens gloves and mittens, leather hair work hats, straw hosiery and knit goods jewelry and instrument cases millinery and lace gods peanuts, grading, roasting, cleaning, and shelling pens, steel silk and silk goods including throwsters umbrellas and cranes Third Quartile: Female Employment 38.8 to 51.5 percent awnings, tents and sails baking powders and yeast boxes, cigar canning and preserving carpets and rugs, other than rag cordage and twine and jute and linen goods cork, cutting fireworks flavoring extracts food preparations fur goods house-furnishing goods, not otherwise specified needles, pines and hooks and eyes paper goods not elsewhere specified patent medicines and compounds and druggists preparatins pencils, lead stationary goods not elsewhere specified surgical appliances and artificial limbs tobacco manufactures woolen, worsted, and felt Table 4 Factor Analysis Communalities averagewagerecoded valueaddedrecode HPWRKR salwrksperestrecode increasewgwrks9909r ecode wageaspropsal valueproductperworke rrecode Initial 1.000 1.000 1.000 1.000 1.000 1.000 1.000 Extraction .833 .428 .724 .611 .610 .883 .594 Extraction Method: Principal Component Analysis. Total Variance Explained Initial Eigenvalues % of Cumulative % Variance 28.072 28.072 21.750 49.822 17.051 66.873 12.706 79.579 9.870 89.449 6.920 96.369 3.631 100.000 Extraction Sums of Squared Loadings % of Total Cumulative % Variance 1.965 28.072 28.072 1.522 21.750 49.822 1.194 17.051 66.873 Component 1 2 3 4 5 6 7 Total 1.965 1.522 1.194 .889 .691 .484 .254 Extraction Method: Principal Component Analysis. Component Matrix a Component 2 .491 1.34E-02 -.443 -.348 .350 .866 -.302 1 averagewagerecoded valueaddedrecode HPWRKR salwrksperestrecode increasewgwrks9909r ecode wageaspropsal valueproductperworke rrecode .743 .254 .633 .577 .232 .279 .695 3 -.198 .602 -.356 .396 .659 -.234 -.139 Extraction Method: Principal Component Analysis. a. 3 components extracted. Table 5A Industries Scoring High on Factor 1 automobiles, including bodies and parts babbitt, metal and solder beet sugar belting and hose, leather butter, cheese, and condensed milk butter, reworking cars, steam-railroad,not incluidng street railroad cash registers and calculating machines chemicals dyestuff and extracts engravers metehods glass cutting, staining, and ornamenting gold and silver ink, printing iron and steel, rolling mills iron and steel, blast furnaces lead, bar, pipe and sheet liquor, malt malt oil, cottonseed and cake oil, linseed oil, not elsewhere specified oleomargerine phonographs and gramophones roofing materials rubber goods, not elsewhere specified sand and emery paper and cloth slaughtering and meat packing smelting and refining copper smelting and refining lead smelting and refining not from ore smelting and refining zinc soap tinplate and ternplate Table 5B Industries Scoring High (4th Quartile) Factor 2 automobiles, including bodies and parts awnings, tents and sails bicycles, motorcycles, and parts bread and other bakery products butter, cheese, and condensed milk card cutting and design cars and general shop construction and repairs by steam railroad companies cars and general shop construction and repairs by street railroad companies cash registers and calculating machines china decorating cloth, sponging and refinishing clothing, mens...

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UPenn - SP - 2000
Table 1 Property Ownership 1910 Owns, No Mortgage Owns, Mortgage Percent 12.0 Does Not Own TotalNon-farm households Farmhouseholds28.459.65598943.020.137.024344Table 2 Property Ownership by Age: 1910Nonfarm households Percent Owne
UPenn - LDC - 2002
The following tables summarize the sentences that were read by each informant. The rst column gives the informants index and contains the elds: gender index native language script numberFor example, f01arabic1 denotes female informant 01 whose nati
UPenn - J - 88
USER MODELS~ DISCOURSEMODELS, AND SOME OTHERSKaren Sparck Jones Computer Laboratory University of Cambridge Cambridge, EnglandMy context for this note is natural language interfaces to complex systems, considered, as the aim is system building, fro
UPenn - P - 80
SHOULD COMPUTERS WRITE SPOKEN LANGUAGE?Wallace L. Chafe University of California, BerkeleyRecently there has developed a great deal of interest in the differences between written and spoken language. I joined this trend a little more than a year
UPenn - J - 01
Book ReviewsAdvances in Probabilistic and Other Parsing Technologies Harry Bunt and Anton Nijholt (editors)(Tilburg University and University of Twente) Dordrecht: Kluwer Academic Publishers (Text, speech and language technology series, edited by
UPenn - P - 84
TRANSFORMING ENGLISH INTERFACESTO OTHERNATURALLANGUAGES: AN EXPERIMENTWITH PORTUGUESE GABRIEL PEREIRA LOPES (1) Departamento de Matem~tica I n s t i t u t o Superior de Agronomia Tapada da Ajuda - 1399 Lisboa Codex, PortugalABSTRACT Nowadays i t is
UPenn - C - 88
Reasons why I do not care grammar formalismJun-ichi Tsujii Dept. of Electrical Engineering, Kyoto University, Yoshida-honmaehi,Sakyo, Kyoto, 606, JAPANGeneral Comments of the formalisms are revealed only in these types of sentences which rarely app
UPenn - J - 91
Natural Language Generation in Artificial Intelligence and Computational Linguistics C6cile Paris, William R. Swartout, and William C. Mann (editors)(Information Sciences Institute, University of Southern California) Boston: Kluwer Academic Publishe
UPenn - J - 89
Book ReviewsAdvances in Natural Laaaguage Generation: An Interdisciplinary Perspectiveexpression or syntactic rule in one there is a corresponding expression or syntactic rule in the other with the same meaning. Rosetta differs from the strict Mo
UPenn - P - 79
APPLICATIONSDAVID G, HAYSHeXagramT r u t h , like b e a u t y , i s in t h e eye o f t h e b e h o l d e r , Z o f f e r a few r e m a r k s f o r t h e u s e of t h o s e who s e e k a p o i n t of v i e w from which to s e e t r u t h i n t h e
UPenn - A - 94
Fourth ConferenceonApplied Natural Language ProcessingAssociation for C o m p u t a t i o n a l LinguisticsProceedings of the Conference13-15 October 1994 Stuttgart, GermanyPublished by the Association for Computational LinguisticsQ1994,
UPenn - H - 89
Preference Semantics for Message UnderstandingRalph Gnshman and John Sterling Computer Science Department New York University1. The Problem: Capturing the meaningful semantic relations The design of effective natural language processing systems re
UPenn - C - 88
FRAMEWORK FOR A M O D E L OF DIALOGUERonan REILLY Educational Research Centre St Patrick's College, Dublin Irina PRODANOF Institute for Computational Linguistics - CNR PisaI INTRODUCTION In this paper we present a general model of cmmnunication app
Mississippi State - AIS - 8103
Case Study: The African Republic of Labawania This case study is based on a fictional country. All details and examples are imagined, although some of them may be based on actual historical events. Your task is to assume a role as an Agricultural Adv
Mississippi State - AIS - 8103
AISE 8103: International Agricultural EducationCase Study #4Day Two: From the other side of the fence. Emilio arrived to work early the next day so he could review the original exchange program proposal before the planned meeting with Rosco and Se
Mississippi State - AIS - 8103
Trends in Agricultural Extension: A Philosophical Touch Line Perspective Gustav H. Duvel, Professor and Director South African Institute for Agricultural Extension University of Pretoria Invited Presentation 15th Annual Meeting of the Association for
Mississippi State - AIS - 8103
AISE 8103: International Agricultural EducationCase Study #1Southland International Development and Improvement Corporation (SIDIC) was asked to evaluate the Los Pollos Village area water situation and develop a plan to alleviate what SIDIC though
Mississippi State - AIS - 8103
AISE 8103: International Agricultural EducationCase Study #2The Zorba region, located in the hinterlands of Mamun, is one-third the size of Mississippi. Mamun is three times the size of Mississippi. The Zorba region is a semi-tropical grassland ar
Mississippi State - AIS - 8103
AISE 8103: International Agricultural EducationCase Study #5Day Three and Beyond: From the other side of the fence. Emilio, Rosco and Serge had another meeting the following morning. Emilio told the two instructors what he had found in the account
Mississippi State - AIS - 8103
AISE 8103: International Agricultural EducationCase Study #3Day One: From the other side of the fence. Emilio started working for Gonzo Global Exchange (GGE) in the summer of 1993. He had acquired five years of experience in exchange programs, hav
Mississippi State - AIS - 2613
AISE 2613 Small Group Members: Case Study #5Group A: Carlisle, Ben Jackson, Daniel Everett, Michael Echols, Narvel Cauthen, RussellGroup B: Barton, Brian Myers, Steven Peyton, Brian Whitten, Randy Beckwith, JeremyGroup C: Hughes, Ryan Steed, Ter
Mississippi State - AIS - 2613
Small Groups for AIS 2613: Case Study #6Group #1 Everett, Michael Steed, Terry Moorman, Jason Burt, Jason Hays, Patrick Group #2 Neely, Kristi Barton, Brian Bell, Al Echols, Narvel Carlisle, Benjamin Group #3 Peyton, Bryan Jackson, Daniel Vandevere,
Mississippi State - AIS - 2613
Let's Play Pool!Problem Definition: The pool table problem involves two men trying to place a pool table in a room. The dimensions are known for this room and the question is whether the pool table can be placed effectively in their office where the
Mississippi State - AIS - 2613
Case Study #2: Small Groups for AIS 2613 Group #1 (4 members) Bell, Alford Jones, Bradley Hays, Patrick Myers, Steven Group #2 (4 members) Whitten, Randall Barton, Brian Burt, Jason Spears, Stuart Group #3 (4 members) Tilley, Joshua Steede, Heath Dav
Mississippi State - AIS - 2613
Name of Biotechnology Being Reported On Your Name AIS 2613 DateProduct DescriptionIn this section describe the commercial product that resulted from the result of biotechnology. This section should include what is used for, how it is produced, the
Mississippi State - AIS - 2613
_ _Artificial IntelligenceInformation & Decision Science in Agro-Ecosystems_ _Unit 6: Artificial Intelligence__ _ __What is Artificial Intelligence (AI)?n_ _ __ _ _ _From the perspective of intelligence artificial intelligence is maki
Mississippi State - AIS - 2613
Deal the Cards SolutionProblem Definition: The Deal the Cards problem involves arranging eight playing cards, four read and four black, in a certain order. The order, which is also the solution to the problem, is necessary to achieve the specified r
Mississippi State - AIS - 2613
Lateral Thinking Puzzle #1Problem Definition: The lateral thinking puzzle supplies a scenario with a few vague details. The goal is for the student to take these details and create a story that will incorporate the events. The scenario in this think
Mississippi State - AIS - 2613
Lateral Thinking Puzzle #2Problem Definition: The lateral thinking puzzle supplies a scenario with a few vague details. The goal is for the student to take these details and create a story that will incorporate the events. The first scenario in this
Mississippi State - AIS - 2613
Tower of Hanoi Thinking ExerciseThis Tower of Hanoi problem involves the movement of three different sized disks onto three different pegs. Your goal is to move the three disks on peg one to peg three, one at a time. The disks must be placed onto th
Mississippi State - AIS - 2613
Summer CampProblem Definition: For an apparent lack of a better plan from their parental units, four cousins were sent to the Four Corners Summer Camp. These four boys and girls, two of each, range from 13 to 16 years old. At this vocational camp, t
Mississippi State - AIS - 2613
Puzzle #3-Connect the Dots Problem Definition: In the puzzle Connect the Dots, the problem involves finding a way to draw lines through all nine dots present, which happen to be contained in a three by three square. The limitations for this particula
Mississippi State - AIS - 8103
EMPOWERMENT OF RURAL WOMEN IN INDIA THROUGH LITERACY EDUCATION Caroline James Alfred W. Bowers Laboratory of Anthropology University of Idaho Thomas F. Trail, Director International Trails Technical Assistance & Project Development Moscow, ID Abstrac
Mississippi State - AIS - 8523
Mississippi State - ECE - 3724
ECE 3724/CS 3124 Test #3 Summer 2005- Reese. Solution. All figures are on the last page. Part I: (72 pts) a. (5 pts) Write C code that configures PORTB for the IO shown in the figure for problem (a) on the Figure sheet. The internal weak pullup must
Mississippi State - ECE - 3724
ECE 3724 Fall 2006 Test #4 Jones / Reese (circle one to indicate your section) Net ID: (no names, please)You may use only the provided reference materials. You may use a calculator, either a fourfunction or a scientific calculator. You may not use
Mississippi State - EE - 3714
EE 3714Counters10CountersCounters are basic building blocks in digital systems. A counter can be constructed in multiple ways. In this lab we will use the register of the previous lab to construct a 4-bit binary up counter. Note: This lab has
Mississippi State - ECE - 4733
EE 4733/EE 6733 VxWorks NotesRealTime Operating System Case Studies (Motivation)Magnetic Resonance Imaging (MRI) RealTime Needs:S Scanner control Modulating magnetic field to get images(changes axis of rotation of hydrogen nuclei)S Acquisition
Mississippi State - ECE - 4733
Mars Pathfinder Motivates Student ProjectJon Robinson and Jim Harden Department of Electrical and Computer Engineering Mississippi State UniversityOverview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Mississippi State - ECE - 4733
MEMORANDUMTO: FROM: DATE: SUBJECT: Session 1 8/24 2 8/26 3 8/31 4 9/2 5 9/7 6 9/9 7 9/14 8 9/16 10 9/21 11 9/23 12 9/28 13 9/30 14 10/5 15 10/7 16 10/12 17 10/14 18 10/19 19 10/21 20 10/26 21 10/28 22 11/2 23 11/4 24 11/9 25 11/11 26 11/16 27 11/18
Mississippi State - ECE - 4733
D5VMEbus Interface (Part 2)The SBC VMEbus interface will be implemented using the design done in design experiment D3, VMEbus Interface (Part 1). This will allow the SBC to read and write memory on other VMEbus modules connected to the backplane.
Mississippi State - ECE - 4733
D3Terminal Interface & MonitorThe MC68340 onboard Asynchronous Communications Interface Adapter (ACIA) will be used in this lab to provide communications with a terminal and a host machine. Line drivers will be added to complete the terminal inter
Mississippi State - ECE - 4733
L1 Floating-Point Coprocessorand Cache OperationBackground.The purpose of this exercise is to introduce the laboratory systems and soft ware and to perform floating-point and cache experiments. A lab station contains a MC68020 based computer boar
Mississippi State - ECE - 4733
EE4733/EE6733 Notes 1999Chapter 3Memory System Design Key Issues memory type/size/speed selection physical requirements (actual physical arrangement) decoding (memory allocation within cpus memory space) memory interface (loading and buffering) m
Mississippi State - ECE - 4733
EE4733/EE6733 Notes 1999CacheRef: Alan Smith, Cache Memories, ACM Computing Surveys, Vol. 14, No. 3, Sept. 1982. Why does cache work? Based on principles of spatial and temporal localityStransfers of bytes adjacent to those needed now will be
Mississippi State - ECE - 4733
EE4733/EE6733 Notes 1999Memory Management UnitsWhy needed:Sallows programs larger than memory space (call address translation virtual memory if logical space is greater than physical memory space) and multitasking using dynamic memory allocati
Mississippi State - ECE - 4733
L2Paged Memory Management Unit Coprocessor OperationAn objective of this lab exercise is to provide experience in using the MC68851 paged memory management unit. A secondary objective is to gain insight into operating systems functions necessary t
Mississippi State - ECE - 4733
L3VxWorks FamiliarizationBackground.The purpose of this exercise is to introduce the VxWorks shell and debugging facilities. As shown, below, the main chassis contains five VxWorks targets (odo1, odo2, odo 4 odo6) using MVME 133 single boards
Mississippi State - ECE - 4733
EE4733/EE6733 Notes 1999Advanced Microprocessors Course NotesAdvanced Microprocessors Goal: To extend knowledge of microprocessorbased systems to include:SThe design and implementation of a Single Board Computer (SBC) with monitor firmware and
Mississippi State - ECE - 4733
EE4733/EE6733 Notes 1999Chapter 2Data Ordering ways of storing data bytes of operands in memory What would be desirable?Smultidigit arithmetic XXXX YYYYstart hereincreasing addressesScomparisons (multidigit and ASCII string) XXXX YYYY
Mississippi State - ECE - 4733
EE4733/EE6733 Notes 1999CoprocessorsGeneral View MotivationSWant increased performance tailored to need. Ex: floating point arithmetic matrix manipulation fast Fourier transforms graphicsS SAllows transformation of main processor code to h
Mississippi State - ECE - 4733
EE 4733/EE 6733 Teaming Skills Fall 1999The SBC and VxWorks projects will be done using a team approach. 30% of the grade in each of these projects will be based on the quality of the team processes used. Teaming Goals Attitudinal/Motivational Goal
Mississippi State - ECE - 4733
D1Single Board Computer Preliminary TestingOverview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .This is a first step in developing
Mississippi State - DES - 1
3. Approach X-pilot is an autopilot system for fixed-wing aircraft capable of autonomous flight via waypoint navigation. It consists of the MNav (a sensor package), the Stargate (an on-board computer), and a standard 802.11 wireless card, as well as
Mississippi State - DES - 1
Problem Statement X-Pilot: Autopilot SolutionsHistorical Introduction Unmanned Aerial Vehicles (UAVs) are aircraft with no onboard pilot that can fly either by remote control or autonomously with pre-programmed flight plans or dynamic in-flight ret
Mississippi State - DES - 1
2. Design Constraints X-Pilot is an autopilot system for fixed-wing aircraft that is user-programmable while in flight. Not only is X-Pilot easily integrated, but it is cheaper than competitors and capable of user modifications. The following documen
Mississippi State - DES - 2
2.1 Company Summary X-Pilot LLC was formed in February 2008 in response to a need in the UAV market for a cheap and reliable autopilot capable of user modifications via open source code. X-Pilots first product is what the company was named after, an
Mississippi State - DES - 1
Problem Statement X-Pilot: Autopilot SolutionsHistorical Introduction Unmanned Aerial Vehicles (UAVs) are aerial vehicles with no onboard pilot that can fly either by remote control or autonomously with pre-programmed flight plans or dynamic in-fli
Mississippi State - DES - 2
DESIGN II, FINAL DESIGN REVIEWThe purpose of the Design II, final design review is to inform the audience of the testing of the final product with respect to problem execution, and technical specifications. Packaging, cost, and PCB reliability of t
Mississippi State - DES - 1
G PSn& tio ation a St ic nd m un ou G r Co m RCta DaSpecificationsAuto-Pilot Altitude Range: 0 5,000 m,MSL Airspeed Range: 0 80 m/s Engaged at 25 Hz GPS at 4 Hz AHRS at 10 Hz Attitude Propagation at 50Hz Measure Update at 25 Hz Waypoint Navig
Mississippi State - DES - 2
1.BUSINESS MINI-PLAN1.1 Objectives X-Pilots ambition is to offer an innovative, fully functional autopilot system for much less than the market average while still allowing for modification with customized applications. X-pilot aims to open the a