Building enterprise IoT applications. (2019)

• Record Type: Book
• Further Information: Note: Chandrasekar Vuppalapati.
• Authors: Vuppalapati, Chandrasekar, 1972-
• Contents: Table of Contents: SECTION I – THE INTERNET OF THINGS (IOT) Introduction Industry 4.0 The Man and the Machine – Robots may guide collaboration with Humans The Five Forces that shape Industry Competition and Smart Connected Objects Digital Twin Enterprise IoT Platforms Human Touch – artificial intelligence infused Mobile Companion The CRISP-PM Process References SECTION II - END TO END ARCHITECTURES Foundation Architectures IoT Platform IoT Platform Types Connectivity Platform Use Case: Artik Connectivity Platform Technical Case Study: Using IoT to detect water leakages with Powel IoT & KDD 5Vs and IoT Intel IoT Data Flow Diagram CAP Theorem IoT Streams and Reference Architecture Data at Rest SECTION III - HARDWARE Hardware Design Arduino IDE Installation Arduino Uno Pinout Diagram and Guide Tinyduino Humidity Sensor (SI7021) Embedded System Architecture Hanumayamma Dairy IoT Sensor SECTION IV – DATA IoT Data Sources Enterprise IoT Data Sources Physical Asset Perspective – "Things that Spin" Industrial IoT Data Sources Sensors Use Case: Investment in IoT is investment in our future generations’ Safety & Security Industrial Use Case: Connected Bus and Mass Transportation Sensors Performance and Characteristic definitions Case study Type of Sensors Basic Sensors Motion Sensors Accelerometer App Accelerometer Play App – a precursor to Digital Twin Apps Magnetometer App The Role of Sensors in Healthcare & Wellness Use Case: A SYSTEM TO DETECT MENTAL STRESS USING MACHINE LEARNING AND MOBILE DEVELOPMENT Health Fitness IoT App Step Counter Value Android Batch Step Sensor Sample Full Sensor & Data List Core Motion Framework in iOS Core Motion iOS Code Pedometer App Reservoir Use Case Audio Sensors Video Sensors Image Texture Data IRES Image Retina Data Geospatial Data References IoT Data Collectors Use Case: Note to my great-great Grand Kids: I am Sorry Data Collector Algorithms Audio Signal Data Image Texture Extraction – Histograms References Data Storage Data in Motion: Data representations Files in C EPROM Data Storage Android Data Storage SQLite SQLite and Embedded C App SQL Storage iOS Data Storage Tensors as Storage References SECTION V: DATA SCIENCE Machine Learning at the Edge Use Case: Intelligent Dispenser for Long Tail Venues Supervised Learning Techniques useful for small form factor devices Clustering Use Case: Smart City – Intelligent Dispenser Sliding Window Model Equation – Regression Analysis Kalman Filter K-Means Clustering Use Case: Sensor Signal and Data Interference & Machine Learning Fuzzy Logic (FL) Reinforcement Learning (RL) Neural Networks Voice Detection (Neural Networks) Tensor Flow execution on embedded Microcontroller Units (MCUs) Edge to Cloud Amalgamation – Traffic Light Sensors as law enforcement devices Hotels and Entertainment and Dynamic Pricing (Harmonious dancing for calculating the best price – both for industry and Patrons – a Win-Win) References SECTION VI: CONNECTIVITY Connectivity 5G Network Use Case: Low Power Wide Area (LPWA) and Cellular IoT REST CoAP (Constrained Application Protocol) Bluetooth Low Energy (BLE) iOS App – IoT made easy - Sensor Tag Android Hanumayamma Dairy IoT Design Use Case: Dairy Application – Cow Necklace MQTT IoT and Hardware Clocks MQTT Signals MQTT Client MQTT Wireshark Captures ECG or Electrocardiogram Sesnors References SECTION VII – CLOUD COMPUTING Middleware Message Architectures Apache Kafka Installation of Kafka Apache Spark References IoT Data Analytics Platform Data Processing Architecture Data Acquisition Systems Insight Value Chain References Future Dedication Acknowledgement Appendix
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2019
• Extent: 1 online resource, illustrations (black and white, and colour)
• Subjects: 005.3; Internet of things; Business enterprises -- Computer networks; Application software -- Development
• Languages: English
• ISBNs: 9780429509315; 9780429508691; 9780429509933; 9780429056437
• Related ISBNs: 9780367173852
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
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