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Telecom and Informatics 1
INF5120
”Modelbased System development”
Lecture 13: 08.04.2019Arne-Jørgen Berre
Course parts – 2019 (tentative plan)
2
Part I-a -(Introduction to Modeling): 14/1 - Start 1-14/1: Introduction to INF5120 Part I-b -(Introduction to Modeling and Metamodeling and) 2-21/1: Modeling structure and behaviour (UML and UML 2.0 and metamodeling) 3-28/1: MDE with Eclipse EMF, Xtext and SIRIUS 4-4/2: Business Modeling – BMC, LSC, VDML/VDMBee, (w/meta model) - (Business Model Canvas, Value Proposition,
Lean Canvas - VDMBee, VDML Part II - (Business Architecture/Business Modeling Modeling + Server side – Node-RED + THingML + Sensors/IoT/Cloud -
and the Smart Home project): ) 5-11/2: BPMN 6-18/2: ArchiMate 3.0 Modeling, TOGAF 9.0 7-25/2: Node-RED Cognitive Services/AI – Watson services example (for Oblig 2) (IBM Cloud) 8-4/3: Smart Home - Design Thinking + Chatbots 9-11/3: Service Modeling with UML 2.X Collaboration Models and Composite Models and SoaML + CJML 10- 18/3: UML 2.x Sequence Diagrams, UML 2.x State Machines. ArchiMate ArchIsurance, ArhiMetal examples, 11- 25/3 CJML – Customer Journey Modeling Language (Guest lecture, Dr. Ragnhild Halvorsrud and UML OCL) Group presentations – Oblig 1 ideas .. Part IIi - (Modeling –Apps + EA/ArchiMate) 1/4 - Oblig 1: Specification Models Smart Home – Business Architecture – Business Canvases, ++, ArchiMate + IBM
Cloud basis 11- 1/4 DSLs: SysML (Graphical) and ThingML (Lexical), - Oblig 2, 3 - discussion/ Oblig 1 Group presentation (2nd
group)Part IV - (MDE – Creating Your own Domain Specific Language – Eclipse, Xtext/SIRIUS): 12-8/4: Model driven engineering – DSLs - IBM SPSS Graphic Modeler and IoT Analytics EASTER – 15/4 and 22/4 13-29/4: Lecture - DSLs and Transformations 14-6/5 Lecture – Model Driven Engineering 6/5 - Oblig 2 – delivery: Individual / Pairs - Metamodeling (Editor) 15-13/5 Lecture - Model Driven Engineering 13/5 – Oblig 3- : Smart Home – Design/Realisation with Node-RED, IBM Watson/IoT services + ArchiMate/UML++
Application, Technology, Physical models – Smart Home demonstrations - 10% 16-20/5: Summary of the course - Oblig 4 final discussions - Conclusions, Previous exams – group collaborations for the Exam by old exams 3/6: Exam (4 hours), Mandag June 3rd, (0900-1300) - 70%
IBM SPSS Graphic Modeler (Graphic DSL example)
https://www.ibm.com/no-en/marketplace/spss-modeler
EXAMPLE:
Tutorial text
predictionconfidence
https://www.ibm.com/cloud/garage/architectures/dataAnalyticsArchitecture
https://www.ibm.com/cloud/garage/architectures/dataAnalyticsArchitecture/alldataanalyticssolutions
BDV – Big Data and Analytics/Machine LearningReference Model
11/04/2019
OperationRetail and
Services
Da
ta
Acq
uis
itio
n
Cu
rati
on
Sto
ra
ge
an
d p
roce
ssin
gA
naly
sis
Valu
e
Bes
lutn
ings
støtt
ever
ktø
y
ProductionDesign
BIO
Data
Array
dbLinked
data
INDUSTRIAL DATA SPACE – with Data Security
Industrial Analytics / Hybrid Modeling and Analytics Descriptive, Diagnostic, Predictive, Prescriptive, Preventive Analytic services
Storage Variety, Variability
Volume
Batch
Velocity
Real-
time
Infrastructure
Data Driven Analytics, Data Science, and Machine Learning
BIO
Data
Interactive
In
Memory
ClassificationVisual
AnalyticsBasic Statistics
ClusteringRegression,
Neural Network
Machine
Learning
Dat
a M
anag
emen
t
Component
models
Weather
data
Maintenance
dataSCADA
Sensor
data
Hydro
modelsMeta
data
IoT
Sensors
actuators
HPC
cluster
EDGE/Machine Connections
and Edge Analytics
First Principles Cybernetic ModelingP
roce
ssin
g
Data Platform with Hybrid Analytics
Model Simluation and Optimisation
MATLAB – HPC
Simulation OptimisationMPC
Model
Data
Sim
DataOptimis
Data
...
Sensors
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Descriptive analyticsDiagnostic analyticsPredictive analyticsPrescriptive analyticsPreventive analytics
SENSORS- Temperature– ambient- Temperature – surface- Moisture- Light - Lux- Open/Close- Movement- Pressure- Button (push)- Digitalisator (strøm/spenning) – for analogue connection- Vibration- Camera- Voice in/out– Chatbots, Alexa, Google Home,..- Clock - time- Position – outside/inside- Identification (RFID)- …- andre …
Sensor Data
Other Data
Even Other Data
Message Broker
Database
Stream Analytics
Interactive(Dev)
Batch (Backtesting)
Experiment with Analytics for EL-Watch Neuron sensors (See later Node-RED integration)
45
https://www.el-watch.com/en/
46
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11/04/2019 ICT-15 proposal preparation meeting - Brussels
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