IoT ( Internet of Things) for Entrepreneurs, Managers and Investors
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Tipologia
Corso
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Metodologia
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Inizio
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Le stime per Internet of Things o il valore di mercato dell'IoT sono enormi, poiché per definizione l'IoT è uno strato integrato e diffuso di dispositivi, sensori e potenza di calcolo che si sovrappone a tutto il settore consumer, business-to-business e governativo. L'IoT rappresenterà un numero sempre maggiore di connessioni: 1,9 miliardi di dispositivi oggi e 9 miliardi entro il 2018. Quell'anno sarà all'incirca uguale al numero di smartphone, smart TV, tablet, computer indossabili e PC messi insieme. & Nbsp ; Nello spazio di consumo, molti prodotti e servizi sono già stati introdotti nell'IoT, tra cui cucina e elettrodomestici, parcheggio, RFID, prodotti per l'illuminazione e il riscaldamento e una serie di applicazioni in Internet industriale. & nbsp; Tuttavia le tecnologie sottostanti dell'IoT non sono nulla di nuovo poiché la comunicazione M2M esisteva sin dalla nascita di Internet. Tuttavia, ciò che è cambiato negli ultimi due anni è l'emergere del numero di tecnologie wireless economiche aggiunte dall'enorme adattamento di smartphone e tablet in ogni casa. La crescita esplosiva dei dispositivi mobili ha portato alla domanda attuale di IoT. & Nbsp; A causa delle illimitate opportunità nel settore degli affari IoT, un gran numero di imprenditori di piccole e medie dimensioni sono saliti sul carro della corsa all'oro dell'IoT. Anche a causa dell'emergere dell'elettronica open source e della piattaforma IoT, i costi di sviluppo del sistema IoT e la successiva gestione della sua considerevole produzione sono sempre più accessibili. I proprietari di prodotti elettronici esistenti stanno facendo pressione per integrare il proprio dispositivo con l'applicazione Internet o Mobile. & Nbsp; Questo corso di formazione è inteso per una revisione tecnologica e aziendale di un settore emergente in modo che gli appassionati / imprenditori IoT possano cogliere le basi della tecnologia e degli affari IoT . Obiettivi del corso & nbsp; L'obiettivo principale del...
Sedi e date
Luogo
Inizio del corso
Inizio del corso
Profilo del corso
Basic knowledge of business operation, devices, electronics systems and data systems
Basic understanding of software and systems
Basic understanding of Statistics (in Excel levels)
Opinioni
Materie
- Smartphone
- Security
- E-learning
- Open source
- Bluetooth
- Wireless
- Imprenditori
- E-business
Programma
Session 1 — Business Overview of Why IoT is so important
- Case Studies from Nest, CISCO and top industries
- IoT adaptation rate in North American & and how they are aligning their future business model and operation around IoT
- Broad Scale Application Area
- Smart House and Smart City
- Industrial Internet
- Smart Cars
- Wearables
- Home Healthcare
- Business Rule Generation for IoT
- 3 layered architecture of Big Data — Physical (Sensors), Communication, and Data Intelligence
- Basic function and architecture of a sensor — sensor body, sensor mechanism, sensor calibration, sensor maintenance, cost and pricing structure, legacy and modern sensor network — all the basics about the sensors
- Development of sensor electronics — IoT vs legacy, and open source vs traditional PCB design style
- Development of sensor communication protocols — history to modern days. Legacy protocols like Modbus, relay, HART to modern day Zigbee, Zwave, X10,Bluetooth, ANT, etc.
- Business driver for sensor deployment — FDA/EPA regulation, fraud/tempering detection, supervision, quality control and process management
- Different Kind of Calibration Techniques — manual, automation, infield, primary and secondary calibration — and their implication in IoT
- Powering options for sensors — battery, solar, Witricity, Mobile and PoE
- Hands on training with single silicon and other sensors like temperature, pressure, vibration, magnetic field, power factor etc.
Demo : Logging data from a temperature sensor
Session 3 — Fundamental of M2M communication — Sensor Network and Wireless protocol- What is a sensor network? What is ad-hoc network?
- Wireless vs. Wireline network
- WiFi- 802.11 families: N to S — application of standards and common vendors.
- Zigbee and Zwave — advantage of low power mesh networking. Long distance Zigbee. Introduction to different Zigbee chips.
- Bluetooth/BLE: Low power vs high power, speed of detection, class of BLE. Introduction of Bluetooth vendors & their review.
- Creating network with Wireless protocols such as Piconet by BLE
- Protocol stacks and packet structure for BLE and Zigbee
- Other long distance RF communication link
- LOS vs NLOS links
- Capacity and throughput calculation
- Application issues in wireless protocols — power consumption, reliability, PER, QoS, LOS
- Sensor networks for WAN deployment using LPWAN. Comparison of various emerging protocols such as LoRaWAN, NB-IoT etc.
- Hands on training with sensor network
Demo : Device control using BLE
Session 4 — Review of Electronics Platform, production and cost projection- PCB vs FPGA vs ASIC design-how to take decision
- Prototyping electronics vs Production electronics
- QA certificate for IoT- CE/CSA/UL/IEC/RoHS/IP65: What are those and when needed?
- Basic introduction of multi-layer PCB design and its workflow
- Electronics reliability-basic concept of FIT and early mortality rate
- Environmental and reliability testing-basic concepts
- Basic Open source platforms: Arduino, Raspberry Pi, Beaglebone, when needed?
- State of the present art and review of existing technology in the market place
- Suggestion for new features and technologies based on market analysis and patent issues
- Detailed technical specs for new products- System, software, hardware, mechanical, installation etc.
- Packaging and documentation requirements
- Servicing and customer support requirements
- High level design (HLD) for understanding of product concept
- Release plan for phase wise introduction of the new features
- Skill set for the development team and proposed project plan -cost & duration
- Target manufacturing price
- Protocol stack of Mobile app for IoT
- Mobile to server integration –what are the factors to look out
- What are the intelligent layer that can be introduced at Mobile app level ?
- iBeacon in IoS
- Window Azure
- Amazon AWS-IoT
- Web Interfaces for Mobile Apps ( REST/WebSockets)
- IoT Application layer protocols (MQTT/CoAP)
- Security for IoT middleware- Keys, Token and random password generation for authentication of the gateway devices.
Demo : Mobile app for tracking IoT enabled trash cans
Session 7 — Machine learning for intelligent IoT- Introduction to Machine learning
- Learning classification techniques
- Bayesian Prediction-preparing training file
- Support Vector Machine
- Image and video analytic for IoT
- Fraud and alert analytic through IoT
- Bio –metric ID integration with IoT
- Real Time Analytic/Stream Analytic
- Scalability issues of IoT and machine learning
- What are the architectural implementation of Machine learning for IoT
Demo : Using KNN Algorithm for regression analysis
Demo : SVM based classification for image and video analysis
Session 8 — Analytic Engine for IoT- Insight analytic
- Visualization analytic
- Structured predictive analytic
- Unstructured predictive analytic
- Recommendation Engine
- Pattern detection
- Rule/Scenario discovery — failure, fraud, optimization
- Root cause discovery
- Why security is absolutely essential for IoT
- Mechanism of security breach in IOT layer
- Privacy enhancing technologies
- Fundamental of network security
- Encryption and cryptography implementation for IoT data
- Security standard for available platform
- European legislation for security in IoT platform
- Secure booting
- Device authentication
- Firewalling and IPS
- Updates and patches
- SQL vs NoSQL-Which one is good for your IoT application
- Open sourced vs. Licensed Database
- Available M2M cloud platform
- Cassandra -Time Series Data
- Mongo-DB
- Omega
- Ayla
- Libellium
- CISCO M2M platform
- AT &T M2M platform
- Google M2M platform
- Home automation
- Energy optimization in Home
- Automotive-OBD
- IoT-Lock
- Smart Smoke alarm
- BAC ( Blood alcohol monitoring ) for drug abusers under probation
- Pet cam for Pet lovers
- Wearable IOT
- Mobile parking ticketing system
- Indoor location tracking in Retail store
- Home health care
- Smart Sports Watch
Demo : Smart city application using IoT
Demo : Retail, Transportation & Logistics Use case for IoT
Session 12 — Big Data for IoT- 4V- Volume, velocity, variety and veracity of Big Data
- Why Big Data is important in IoT
- Big Data vs legacy data in IoT
- Hadoop for IoT-when and why?
- Storage technique for image, Geospatial and video data
- Distributed database- Cassandra as example
- Parallel computing basics for IoT
- Micro services Architecture
Demo : Apache Spark
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IoT ( Internet of Things) for Entrepreneurs, Managers and Investors