Smart University - The university as a platform

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The Smart University is the vision of the university as a platform that acquires and delivers foundational data to drive the analysis and improvement of the teaching & learning environment. Sensor-data, linked (open) data, and formalised teaching knowledge are the three sources that we are tapping. In this talk I presented first results of our efforts.

Low-cost motion detection and other sensors coupled with low-cost credit-card sized computers such as the Raspberry Pi open up opportunities to equip rooms with sensors. As the Raspberry Pi is a full-fledged computing device not only can one acquire data, but also process it in context.

Case-based reasoning is a problem-solving approach that allows to capture and re-use experience. With our toolset around the myCBR Workbench we started formalising teaching experience in Applied Sound Engineering and gold ore pretreatment knowledge to support students in their individual learning situations.

You can learn more about the Smart University here: http://smartuniversity.uwl.ac.uk

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Smart University - The university as a platform

  1. 1. Centre forIntelligentComputingSmart UniversityThe university as a platform13 May 2013 ● Prof Thomas Roth-Berghofer ● Robert Gordon University, AberdeenCentre forModel-basedsoftwareengineeringDr SamiaOussenaSaturday, 4 May 13
  2. 2. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingOutline of my talk2Saturday, 4 May 13
  3. 3. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingUniversity of WestLondon, Ealing3Saturday, 4 May 13
  4. 4. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingUniversity of WestLondon, Ealing3Saturday, 4 May 13
  5. 5. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingUniversity of West London:Structure & CollaborationsSchool of Computing and Technology (SOCAT)Saturday, 4 May 13
  6. 6. School of Psychology, Social Work and Social SciencesEaling Law SchoolLondon College of MusicEaling School of Art, Design and MediaInternational Business SchoolUniversity of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingUniversity of West London:Structure & CollaborationsSchool of Computing and Technology (SOCAT)School of Nursing, Midwifery and HealthcareLondon School of Hospitality and TourismSaturday, 4 May 13
  7. 7. School of Psychology, Social Work and Social SciencesEaling Law SchoolLondon College of MusicEaling School of Art, Design and MediaInternational Business SchoolUniversity of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingUniversity of West London:Structure & CollaborationsE.g., course Project managementE.g., PhD “Interactive 3d portraits”E.g., project “Audio mixing support”School of Computing and Technology (SOCAT)School of Nursing, Midwifery and HealthcareLondon School of Hospitality and TourismSaturday, 4 May 13
  8. 8. Intelligent computingProf Thomas Roth-BerghoferUniversity of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computing 5Research groupsInternationalisationand user experienceDr José Abdelnour-NoceraNetworks anddistributed systemsProf Peter KomisarczukInformationmanagement and librariesDr Stephen RobertsModel-basedsoftware engineeringDr Samia OussenaCivil and built environmentDr Ali Bahadori-Jahromi& Dr Charlie FuMobile ComputingDr John MooreSchool of Computing and Technology (SOCAT)Saturday, 4 May 13
  9. 9. Intelligent computingProf Thomas Roth-BerghoferUniversity of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computing 6Thomas Roth-BerghoferHead of Research andResearch TrainingNinoAuricchioSeniorLecturerinAppliedSoundEngineeringSamProctorLecturerinAppliedSoundEngineeringResearchteamChristianSauerResearchAssistant,PhDstudentDanHughes-McGrailPhDstudentSaturday, 4 May 13
  10. 10. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingSmart University7Deliver foundational data to drive the analysisof the teaching & learning environment.http://smartuniversity.uwl.ac.ukSaturday, 4 May 13
  11. 11. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingSmart UniversityUsingsensor dataLinked (open) dataexpert knowledge/experience7Deliver foundational data to drive the analysisof the teaching & learning environment.http://smartuniversity.uwl.ac.ukSaturday, 4 May 13
  12. 12. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computing 8Daily journey of student Daily journey of lecturerSensordataHumidityTemperatureNoiseLinked(Open) DataExperienceImprovingclassroom experienceSaturday, 4 May 13
  13. 13. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingRoomutilisation9Saturday, 4 May 13
  14. 14. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computing 10Saturday, 4 May 13
  15. 15. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingOccu-Pi: First test run11Saturday, 4 May 13
  16. 16. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computing 12Saturday, 4 May 13
  17. 17. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computing 12Saturday, 4 May 13
  18. 18. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingmyCBRWorkbench13In co-operation with the CompetenceCentre Case-Based Reasoning (CCCBR) atthe German Research Centre for ArtificialIntelligence (DFKI), KaiserslauternSaturday, 4 May 13
  19. 19. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingmyCBR Workbench:Modelling perspective14Saturday, 4 May 13
  20. 20. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingmyCBR Workbench:Modelling perspective14Projects,classes and attributesProjects & ClassesSaturday, 4 May 13
  21. 21. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingmyCBR Workbench:Modelling perspective14Projects,classes and attributesProjects & ClassesList ofsimilarity measuresassociated withselected attributeSimilarity MeasuresSaturday, 4 May 13
  22. 22. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingmyCBR Workbench:Modelling perspective14EditorsEditing area forattributes, global and local similarity measuresProjects,classes and attributesProjects & ClassesList ofsimilarity measuresassociated withselected attributeSimilarity MeasuresSaturday, 4 May 13
  23. 23. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingmyCBR Workbench:Case bases perspective15Saturday, 4 May 13
  24. 24. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingmyCBR Workbench:Case bases perspective15Projects,classes and attributesProjects & ClassesSaturday, 4 May 13
  25. 25. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingmyCBR Workbench:Case bases perspective15Projects,classes and attributesProjects & ClassesLists ofcase bases andavailable instancesCase bases and instancesSaturday, 4 May 13
  26. 26. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingmyCBR Workbench:Case bases perspective15Projects,classes and attributesProjects & ClassesLists ofcase bases andavailable instancesCase bases and instancesEditorsEditing area forcase bases and casesSaturday, 4 May 13
  27. 27. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingFillingknowledgecontainers16Case baseVocabularySimilaritymeasuresAdaptationknowledgeVocabularyVocabularySaturday, 4 May 13
  28. 28. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingFilling vocabularyand case base17VocabularyCase baseSaturday, 4 May 13
  29. 29. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingmyCBR Workbench:CSV file importerAutomatic set up of initial vocabulary, i.e.attributes, data types, and rangesSetup of default similarity measuresbased on data typesFilling the case base18A.Aamodt and E. Plaza. CBR: Foundational issues, methodological variations,and system approaches. AI Communications, 7(1):39–59, 1994.Saturday, 4 May 13
  30. 30. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingmyCBR Workbench:CSV file importerAutomatic set up of initial vocabulary, i.e.attributes, data types, and rangesSetup of default similarity measuresbased on data typesFilling the case base18A.Aamodt and E. Plaza. CBR: Foundational issues, methodological variations,and system approaches. AI Communications, 7(1):39–59, 1994.Start cycle ofrefine & testSaturday, 4 May 13
  31. 31. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computing...myCBR Workbench:CSV Importer19Colhead1 Colhead2 Colhead3 …R1C1 R1C2 R1C3 …R2C1 R2C2 R2C3 …… … … …Saturday, 4 May 13
  32. 32. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computing...myCBR Workbench:CSV Importer19Colhead1 Colhead2 Colhead3 …R1C1 R1C2 R1C3 …R2C1 R2C2 R2C3 …… … … …Generateattributes1Saturday, 4 May 13
  33. 33. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computing...myCBR Workbench:CSV Importer19Colhead1 Colhead2 Colhead3 …R1C1 R1C2 R1C3 …R2C1 R2C2 R2C3 …… … … …Generateattributes1Saturday, 4 May 13
  34. 34. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computing...myCBR Workbench:CSV Importer19Colhead1 Colhead2 Colhead3 …R1C1 R1C2 R1C3 …R2C1 R2C2 R2C3 …… … … …Generateattributes1Saturday, 4 May 13
  35. 35. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computing...myCBR Workbench:CSV Importer19Colhead1 Colhead2 Colhead3 …R1C1 R1C2 R1C3 …R2C1 R2C2 R2C3 …… … … …Generateattributes1Set data types2Saturday, 4 May 13
  36. 36. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computing...myCBR Workbench:CSV Importer19Colhead1 Colhead2 Colhead3 …R1C1 R1C2 R1C3 …R2C1 R2C2 R2C3 …… … … …Generateattributes1Set data types2Saturday, 4 May 13
  37. 37. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computing...myCBR Workbench:CSV Importer19Colhead1 Colhead2 Colhead3 …R1C1 R1C2 R1C3 …R2C1 R2C2 R2C3 …… … … …Generateattributes1BooleanConceptFloatIntegerStringSymbol+Set data types2Saturday, 4 May 13
  38. 38. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computing...myCBR Workbench:CSV Importer19Colhead1 Colhead2 Colhead3 …R1C1 R1C2 R1C3 …R2C1 R2C2 R2C3 …… … … …Generateattributes1...Set data types2Saturday, 4 May 13
  39. 39. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computing...myCBR Workbench:CSV Importer19Colhead1 Colhead2 Colhead3 …R1C1 R1C2 R1C3 …R2C1 R2C2 R2C3 …… … … …Generateattributes1...Set data types2 Generate instances3Saturday, 4 May 13
  40. 40. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingImproving similaritymeasures20Vocabulary Case baseSaturday, 4 May 13
  41. 41. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingImproving similaritymeasures20VocabularySimilaritymeasuresCase baseSaturday, 4 May 13
  42. 42. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingKnowledge extractionworkbench (KEWo)21Christian S. Sauer and Thomas Roth-Berghofer. Web community knowledge extraction for myCBR 3. In M.Bramer, M. Petridis, and L. Nolle, eds., Proc. of AI-2011. Springer, 2011.Saturday, 4 May 13
  43. 43. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingKnowledge extractionworkbench (KEWo)21Christian S. Sauer and Thomas Roth-Berghofer. Web community knowledge extraction for myCBR 3. In M.Bramer, M. Petridis, and L. Nolle, eds., Proc. of AI-2011. Springer, 2011.Saturday, 4 May 13
  44. 44. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computinghttp://www.jboss.org/drools/Adaptation knowledge22VocabularySimilaritymeasuresCase baseFutureworkSaturday, 4 May 13
  45. 45. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computinghttp://www.jboss.org/drools/Adaptation knowledge22VocabularySimilaritymeasuresCase baseAdaptationknowledgeFor example:Integration of Drools -The Business Logicintegration PlatformFutureworkSaturday, 4 May 13
  46. 46. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingAudio advisor23Saturday, 4 May 13
  47. 47. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computing 24Saturday, 4 May 13
  48. 48. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computing 25MidBassTrebleTranslationSaturday, 4 May 13
  49. 49. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computing 26Case structureSaturday, 4 May 13
  50. 50. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingSimilarity measures27Saturday, 4 May 13
  51. 51. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computing 28ANNIESupporting case acquisitionand query formulationSaturday, 4 May 13
  52. 52. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computing 29Saturday, 4 May 13
  53. 53. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computing 30Saturday, 4 May 13
  54. 54. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingAuricAdvisor31LottaRintalaPhDstudent,AaltoUniversity,FinlandSaturday, 4 May 13
  55. 55. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingSelection of pretreatmentmethod for refractory gold ore32Gold extraction from its ores may require acombination of mineral processing andmetallurgical processes to be performed on theore.There are two types of metallurgical processes:Hydrometallurgical Pyrometallurgical- leaching - smelting- low temperature - high temperaturehttp://www.unige.ch/sciences/terre/mineral/fontbote/teaching/lehne_oredressing/2_callion_ore.jpgSaturday, 4 May 13
  56. 56. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingGeneral process chainfor refractory gold ore33PretreatmentCrushing & GrindingLeachingRecovery processRefiningOreRefined goldSaturday, 4 May 13
  57. 57. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingGeneral process chainfor refractory gold ore33PretreatmentCrushing & GrindingLeachingRecovery processRefiningOreRefined goldFor example:• low-pressureoxidation• high-pressureacidic oxidation• high-pressure non-acidic oxidation• Nitric acid oxidation• Chlorine oxidation• Biological oxidation• PyrometallurgicaloxidationSaturday, 4 May 13
  58. 58. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingBasic idea: Two steprecommendation process34Saturday, 4 May 13
  59. 59. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingBasic idea: Two steprecommendation process34Identifycontext1Saturday, 4 May 13
  60. 60. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingBasic idea: Two steprecommendation process34Identifycontext12IdentifypretreatmentSaturday, 4 May 13
  61. 61. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingTwo case bases35Problem SolutionWhole process chain of the mining operationMining situationDescription[Ore/Mineral/Deposit]Process step Process stepProcess stepProblem SolutionOxidative Treatment [Andits conditions and rawmaterial description]Cyanide Leaching [Nextbest suited process step]Saturday, 4 May 13
  62. 62. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingSimilarity measures: Example36Saturday, 4 May 13
  63. 63. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computing 37Auric AdvisorSaturday, 4 May 13
  64. 64. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent Computing 37Auric AdvisorSaturday, 4 May 13
  65. 65. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingAuric Advisor: Goals38Advice expertsProvide starting points to process designValidate existing and newly designed process chainsTeach students of hydrometallurgy (or new employees)best practices or process steps in specific situationsSaturday, 4 May 13
  66. 66. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingCIC research strands:Open PhD research topicsUsing sensor data to improve classroom experienceInvestigate and develop novel techniques, methodologies and support toolsfor using sensor data to improve the classroom experience.Experience-based audio mastering and mixingFormalise teaching experience to improve the individual learning experiencein audio engineering.Acquisition and use of sensor data for music studentteachingFormalise teaching experience with the help of sensor technology toimprove the individual learning experience.Agent-based acquisition of explanation knowledgeAcquire and use distributed explanation knowledge in the SEASALTexpenvironment.39Saturday, 4 May 13
  67. 67. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingMore information40Blog: http://smartuniversity.uwl.ac.ukWorkshop at CONTEXT 2013:http://smartuni2013.workshop.hmSubmission deadline: 12 July 2013Saturday, 4 May 13
  68. 68. Centre forIntelligentComputingSmart UniversityThomas Roth-Berghoferthomas.roth-berghofer@uwl.ac.uk41Saturday, 4 May 13
  69. 69. University of West LondonSlideSmart University • RGU, AberdeenCentre for Intelligent ComputingUsed images42http://commons.wikimedia.org/wiki/File:Waksman_laboratory.jpghttp://commons.wikimedia.org/wiki/File:Gold-130327.jpghttp://commons.wikimedia.org/wiki/File:Blue_Drop.svghttp://commons.wikimedia.org/wiki/File:FireV2.pngSaturday, 4 May 13

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