knowledgebased product development the 3D CAD model of knowledge creation.docx
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knowledgebased product development the 3D CAD model of knowledge creation.docx
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knowledgebasedproductdevelopmentthe3DCADmodelofknowledgecreation
Planningformulti-purposegreenwaysinConcord,NorthCarolina OriginalResearchArticle
LandscapeandUrbanPlanning,Volume68,Issues2-3,30May2004,Pages271-287
AshleyConine,Wei-NingXiang,JeffYoung,DavidWhitley
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Abstract
SmalltownsacrossthesouthernPiedmontofNorthCarolinaareexperiencingrapidgrowthandencroachmentfromlargerneighboringmunicipalities.Manyofthesecommunitiesareconfrontedwiththetoughissueofpreservingthequalityoftheenvironment,whileatthesametimeallowingdevelopmenttooccur.Greenwaysareanexcellentmechanismthatbalancesneedsforbothconservationandgrowth.Onceconsideredtobejustavegetatedlinearareaforpreventativepurposes,greenwayshaveevolvedintoaresourcethatcanmeetthepublic’sneedsforrecreation,environmentalprotection,andalternativetransportation.Therehasalsobeenashiftoffocusingreenwayplanning:
fromasingle-objectiveparadigmofenvironmentalprotectionornaturalconservationtoamulti-objectiveprocessthatallocatesgreenwaysasaresourcetosatisfythepublic’sdemandsforallthreebenefits.However,theseexcitingdevelopmentsbringaseriouschallengetogreenwayplanners:
howtodelineatefuturegreenwaycorridorssothatallthemanyfunctionsareproperlyincorporatedandthepotentialbenefitsaremaximized?
Inthispaperwedemonstrate,throughaprojectfortheCityofConcord,NorthCarolina,thatsuchachallengecanbemetbyusingasystematicapproachtogreenwayplanning.Withthisapproach,weidentifiedfuturegreenwaycorridorswithintheCityofConcordthatbestservethemultipleobjectivesofenvironmentalprotection,recreation,andalternatetransportation.Thesealternativegreenwayscenarioswilllaterbeusedbythelocalcommunities,publicofficials,andplannersasaninformationbasisintheirpursuitofawell-connectedandbalancedlanddevelopmentinthecity.Itishopedthattheresultswillbeintegratedintothecity’scomprehensivelanduseplan.
ArticleOutline
1.Introduction
2.Amethodologyforgreenwayplanning
2.1.Identificationofgoalsandobjectives
2.2.Assessmentofpotentialdemandareas
2.3.Assessmentofpotentialconnectivitysupplies
2.4.Assessmentofsitesuitability
2.5.Assessmentofaccessibility
2.6.Delineationofcorridors
2.7.Evaluation
3.Implementationofthemethodology
3.1.Identificationofgoalsandobjectives
3.2.Assessmentofdemandareas
3.3.Assessmentofpotentialconnectivitysupplies
3.4.Assessmentofsitesuitability
3.4.1.Locationwithinthefloodplain
3.4.2.Soilsuitabilityforpathsandtrails
3.4.3.Proximitytosewerlineeasements
3.4.4.Parcelsize
3.4.5.Landownership
3.4.6.Futurelanduse
3.4.7.Existingdevelopment
3.5.Assessmentofaccessibility
3.6.Delineationofcorridors
3.7.Evaluation
4.Resultsanddiscussion
4.1.TheThreeMileBranchcorridor
4.2.TheCoddleCreek/AftonRunloop
4.3.TheRockyRiver/ClarkeCreekcorridor
5.Conclusions
Acknowledgements
References
Vitae
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182
EvaluatingthelearningprocessofmechanicalCADstudents OriginalResearchArticle
Computers&Education,Volume49,Issue3,November2007,Pages640-661
R.F.Hamade,H.A.Artail,M.Y.Jaber
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Abstract
Thereislittletheoreticalorexperimentalresearchonhowbeginner-leveltraineeslearnCADskillsinformaltrainingsessions.ThisworkpresentsfindingsonhowtraineesdeveloptheirskillsinutilizingasolidmechanicalCADtool(Pro/Engineerversion2000i2andlaterversionWildfire).Exercisesatthebeginnerandintermediatelevelsweredesignedsothatseveralvariationsofasolidobjectarebuiltbynon-experiencedtraineesastheyaccumulatetrainingtime.Inthiscase,traineesarefourthyearmechanicalengineeringseniorsandassuch,theywereofasimilartechnicalandgendermake-up.Thisassessmentwasconductedoverthedurationoftraining(16-weeklongsemester).Thetestexerciseswereusedtoassessthetrainees’speedandproficiencyintheuseofCADby
(1)measuringtheirperformancetimeand
(2)featurecount(numberoffeatures-of-sizeusedtobuildthetestparts).Usingperformancetimedata,empiricallearningcurvesaregenerated.BreakingthesecurvesintodeclarativeandproceduralcomponentsprovidesinsightintohowfastthetraineesdevelopcognitiveandmotorCADskills.InordertoconfirmthatthismethodologycanbeextendedtootherCADplatforms,afollow-upstudywasperformedonadifferentsetofbeginner-leveltraineeswithsimilarmake-upwhileusingthesamebeginner-levelpartsbutwithamorerecentversionofPro/Engineer:
Wildfire.OnesignificantresultofthisstudyisthattheproceduralanddeclarativecomponentsofCADlearningarelargelycognitive.
ArticleOutline
1.Introduction
2.Backgroundandobjectives
3.Methodology
4.Trainingdescriptionandassessmentresults
4.1.Version2000i2
4.1.1.Stage1(Beginner-leveltestparts)learningassessment
4.1.1.1.Feature-buildplans
4.1.1.2.Performanceanalysis
4.1.2.Stage2(intermediate-leveltestparts)learningassessment
4.2.Versionwildfire
5.Discussion
5.1.Version2000i2
5.2.Versionwildfire
6.Conclusions
Acknowledgements
References
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183
Mappingprivategardensinurbanareasusingobject-orientedtechniquesandveryhigh-resolutionsatelliteimagery OriginalResearchArticle
LandscapeandUrbanPlanning,Volume81,Issue3,20June2007,Pages179-192
RenaudMathieu,ClaireFreeman,JagannathAryal
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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences
Abstract
Gardensremaintheleaststudiedandleastunderstoodhabitatinurbanareas.WiththerecentexceptionoftheURGENTfundedurbandomesticgardensprojectintheUK,thereisanotablelackofresearchontheecologicalcharacterandcontributionofgardenstothewiderurbanbiodiversity.Thisisdespitethefactthatgardensusuallycomprisethelargestvegetatedcomponentoftheurbangreenspaceresource.Inpartthisomissionhasbeenduetothedifficultiesinherentinobtainingecologicaldataongardensandthelackofamethodologyforclassifyingandanalysinggardendata.ThispaperpresentsdatafromastudyundertakeninthecityofDunedin,NewZealand.Thestudydevelopedamethodologyusingobject-orientedclassificationtechniquesandveryhigh-resolutionmultispectralIkonosimagerytoautomaticallymaptheextent,distributionanddensityofprivategardensinthecity.Thefocuswasonthevegetatedgardenareawhichwascalculatedascomprising46%oftheresidentialareaor36%ofthetotalurbanarea.Rigorousaccuracyassessmentswereundertaken.Whenusingtheautomatedclassificationtechnique,atotalof90.7%oftheprivategardenswerecorrectlyidentified.Discriminationofgardentypes(e.g.treesorgrassdominated)wasencouraging,butstillrequiresimprovement.Ourresultsindicatethegreatpotentialthatthemethodologyhasinprovidingaquickmethodforobtaininggoodqualityecologicaldataongardenhabitatsinurbanareas.
ArticleOutline
1.Introduction
2.Thecontributionofgardenstourbanecology
3.Habitatmappinginurbanareas
4.Privategardenmapping
4.1.Studyarea
4.2.Object-orientedclassification
4.3.Ikonosimagery
4.4.Gardenextraction
4.4.1.Levelone,classificationintofourclasses
4.4.2.Leveltwo,classificationintosixclasses
4.5.Accuracyassessment
5.Results
5.1.Gardenmapaccuracyassessment
5.2.Privategardenresources
6.Discussion
6.1.Mappingaccuracy
6.2.Relevanceoftheprivategardendataset
Acknowledgements
References
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184
Urbangardens:
Leadexposure,recontaminationmechanisms,andimplicationsforremediationdesign OriginalResearchArticle
EnvironmentalResearch,Volume107,Issue3,July2008,Pages312-319
HeatherF.Clark,DebraM.Hausladen,DanielJ.Brabander
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Abstract
Environmentalleadcontaminationisprevalentinurbanareaswheresoilrepresentsasignificantsinkandpathwayofexposure.ThisstudycharacterizesthespeciationofleadthatisrelevanttolocalrecontaminationandtohumanexposureinthebackyardgardensofRoxburyandDorchester,MA,USA.Onehundredforty-onebackyardgardensweretestedbyX-rayfluorescence,and81%ofgardenshaveleadlevelsabovetheUSEPAactionlimitof400 μg/g.Raisedgardeningbedsaretheinsituexposurereductionmethodusedinthecommunitiestopromoteurbangardening.Raisedbedsweretestedforleadandtheresultsshowedthattheleadconcentrationincreasedfromaninitialrangeof150±40 μg/gtoanaverageof336 μg/gover4years.Thepercentdistributionofleadinthefinegrainsoil(<100 μm)andthetracemetalsignatureoftheraisedbedssupporttheconclusionthatthemechanismofrecontaminationiswind-transportedparticles.Scanningelectronmicroscopyandsequentialextractionwereusedtocharacterizethespeciationoflead,andthetracemetalsignatureofthefinegrainsoilinbothgardensandraisedgardeningbedsischaracteristicoflead-basedpaint.Thisstudydemonstratesthatraisedbedsarealimitedexposure
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