Nervousnet is a sensor data collection platform. It is responsible for collecting and managing sensor data from mobile applications, IoT devices and more.
Nervousnet Platform Overview and Development Roadmap - (Build your own Sensor...Prasad Pulikal
The document provides an overview of the Nervousnet platform, which includes a mobile app called Nervousnet HUB that allows users to view and share sensor data. It connects to external apps called Axons and distributed servers called Nervousnet CORE that store and collect shared data. Axons can be native Android apps, HTML apps, or connected devices. The roadmap outlines developing the mobile apps, APIs, sample Axons, and converting existing apps to the Axon format by specific months. Similar platforms are also compared.
SwarmPulse - mapping the world together (Build your own Smart City Service) -...Prasad Pulikal
SwarmPulse is a research project at ETH Zurich that allows users to anonymously share data and digital content in real-time on a map. It is part of a larger distributed research platform for social sensing. Users can visualize real-time or past data shared by others through sensors, text, images or links. The mobile app and website allow viewing shared light, noise and other sensor levels along with text and links. Data is cleared after 5 minutes from the map and past views are limited to 30 minutes to avoid performance issues from large amounts of data.
This document discusses integrating the Swarmpulse mobile app and website with the Nervousnet framework. The key changes are:
1. The Swarmpulse mobile app will now push data to Nervousnet CORE servers instead of its own servers.
2. The Swarmpulse website will receive data from the Nervousnet CORE servers instead of the old Swarmpulse servers.
3. New features have been added to the Swarmpulse mobile app and website like measuring earthquake intensity using the mobile's accelerometer and showing other users' locations on a map.
Nervousnet HUB - Mobile App Wireframes - (Build your own Smart City Service) ...Prasad Pulikal
This document contains wireframes for the nervousnet HUB mobile application user interface. The wireframes show screens for the home screen, sensors main screen, individual sensor reading screens, sensor analytics screen, app showcase screens, settings screen, help screen, and about screen. The screens are designed to allow users to view real-time sensor data from their device, analyze sensor readings, and access a catalogue of related mobile applications.
This document provides requirements and specifications for the "SwarmPulse" project for TagesAnzeiger Newspaper. The project involves developing a mobile client application to collect light and noise sensor data from user devices. A website will visualize the collected data on heat maps. The mobile app must obtain user consent and allow configuration of data collection. The website must allow selection of sensors and regions to dynamically display heat maps. Non-functional requirements include privacy, performance, supported languages and platforms. Issues relating to location data privacy and erroneous sensor readings are also discussed.
This document discusses Android sensors, sensor frameworks, and the AWARE mobile context instrumentation framework. It describes how hardware sensors can measure the physical environment, including motion, environmental, and position sensors. It explains that the Android Sensor Framework allows accessing raw sensor data through classes like SensorManager, Sensor, and SensorEventListener. The document then introduces AWARE as a framework for logging, sharing, and reusing mobile sensor data. It provides overviews of the AWARE infrastructure and interfaces. It also describes how to use AWARE by creating plugins or standalone apps, and how to save, read, and get active updates of sensor data through AWARE.
Sensorscope is a system of miniature, autonomous monitoring stations that wirelessly communicate environmental data to a central server. Each 1-liter station can accept 3 sensors, is powered by solar energy, and can be installed in 20 minutes. Data from the stations is accessible anywhere through an online portal, plotted on maps and graphs. The stations are suitable for a wide range of environmental monitoring applications.
The document describes an Environmental Sensing Instrument (ESI) created using an Ubuntu operating system, Raspberry Pi hardware, C++ and Python programming languages, and sensors including a thermal infrared camera and Arduino microcontroller. The ESI is intended to gather environmental data for purposes such as personal weather forecasts, micro-climate sensing, and air quality measurement. Potential future uses of the ESI include characterizing micro-climates to assess risk of Zika virus and augmenting robotics with remote sensing capabilities. The ESI system design incorporates components like controllers, sensors for gases, radiation, luminosity, weather, and cameras to provide optical and thermal views.
Nervousnet Platform Overview and Development Roadmap - (Build your own Sensor...Prasad Pulikal
The document provides an overview of the Nervousnet platform, which includes a mobile app called Nervousnet HUB that allows users to view and share sensor data. It connects to external apps called Axons and distributed servers called Nervousnet CORE that store and collect shared data. Axons can be native Android apps, HTML apps, or connected devices. The roadmap outlines developing the mobile apps, APIs, sample Axons, and converting existing apps to the Axon format by specific months. Similar platforms are also compared.
SwarmPulse - mapping the world together (Build your own Smart City Service) -...Prasad Pulikal
SwarmPulse is a research project at ETH Zurich that allows users to anonymously share data and digital content in real-time on a map. It is part of a larger distributed research platform for social sensing. Users can visualize real-time or past data shared by others through sensors, text, images or links. The mobile app and website allow viewing shared light, noise and other sensor levels along with text and links. Data is cleared after 5 minutes from the map and past views are limited to 30 minutes to avoid performance issues from large amounts of data.
This document discusses integrating the Swarmpulse mobile app and website with the Nervousnet framework. The key changes are:
1. The Swarmpulse mobile app will now push data to Nervousnet CORE servers instead of its own servers.
2. The Swarmpulse website will receive data from the Nervousnet CORE servers instead of the old Swarmpulse servers.
3. New features have been added to the Swarmpulse mobile app and website like measuring earthquake intensity using the mobile's accelerometer and showing other users' locations on a map.
Nervousnet HUB - Mobile App Wireframes - (Build your own Smart City Service) ...Prasad Pulikal
This document contains wireframes for the nervousnet HUB mobile application user interface. The wireframes show screens for the home screen, sensors main screen, individual sensor reading screens, sensor analytics screen, app showcase screens, settings screen, help screen, and about screen. The screens are designed to allow users to view real-time sensor data from their device, analyze sensor readings, and access a catalogue of related mobile applications.
This document provides requirements and specifications for the "SwarmPulse" project for TagesAnzeiger Newspaper. The project involves developing a mobile client application to collect light and noise sensor data from user devices. A website will visualize the collected data on heat maps. The mobile app must obtain user consent and allow configuration of data collection. The website must allow selection of sensors and regions to dynamically display heat maps. Non-functional requirements include privacy, performance, supported languages and platforms. Issues relating to location data privacy and erroneous sensor readings are also discussed.
This document discusses Android sensors, sensor frameworks, and the AWARE mobile context instrumentation framework. It describes how hardware sensors can measure the physical environment, including motion, environmental, and position sensors. It explains that the Android Sensor Framework allows accessing raw sensor data through classes like SensorManager, Sensor, and SensorEventListener. The document then introduces AWARE as a framework for logging, sharing, and reusing mobile sensor data. It provides overviews of the AWARE infrastructure and interfaces. It also describes how to use AWARE by creating plugins or standalone apps, and how to save, read, and get active updates of sensor data through AWARE.
Sensorscope is a system of miniature, autonomous monitoring stations that wirelessly communicate environmental data to a central server. Each 1-liter station can accept 3 sensors, is powered by solar energy, and can be installed in 20 minutes. Data from the stations is accessible anywhere through an online portal, plotted on maps and graphs. The stations are suitable for a wide range of environmental monitoring applications.
The document describes an Environmental Sensing Instrument (ESI) created using an Ubuntu operating system, Raspberry Pi hardware, C++ and Python programming languages, and sensors including a thermal infrared camera and Arduino microcontroller. The ESI is intended to gather environmental data for purposes such as personal weather forecasts, micro-climate sensing, and air quality measurement. Potential future uses of the ESI include characterizing micro-climates to assess risk of Zika virus and augmenting robotics with remote sensing capabilities. The ESI system design incorporates components like controllers, sensors for gases, radiation, luminosity, weather, and cameras to provide optical and thermal views.
It's our major project in which we make an augmented reality based android application.This application is best for travllers who can find nearby places like food,hospitals,ATM etc.just by holding his phone in any direction.
This document discusses sensors on Android devices. It covers an introduction to common sensors like accelerometers and gyroscopes, how sensors are used in Android applications, tips for developing sensor applications, and porting new sensors to Android. The presentation is divided into multiple parts covering the Android sensor framework, sensor hardware, developing and debugging sensor applications, and future directions for sensors on Android.
Zuzor is an interactive performance system that uses a Kinect depth camera to track infrared markers on a dancer or performer in 3D space. It recognizes gestures through a hidden Markov model and triggers graphic animations that are projected to create an augmented reality experience. The system was created for floor and aerial dance performances to interactively augment and emphasize movements and tricks through projected graphics.
This document discusses embedded systems and microcontrollers. It provides information on the Arduino, its basic components like LEDs and sensors. It describes microprocessors and microcontrollers, noting that microcontrollers integrate a computer's CPU and other components onto a single chip. Embedded systems are defined as computer systems designed for specific functions within a larger system. The document also discusses communication protocols like SPI and provides examples of projects using an Arduino, including sending sensor data to the cloud.
This document discusses sensors in the Android operating system. It describes the hardware and software architecture of the Android sensor framework. The hardware includes sensors like accelerometers and magnetometers. The software includes Android classes for accessing sensor data and interfaces for sensor event listeners. It also provides details on implementing the sensor library and callback functions to interface between the Android framework and low-level Linux drivers.
Plant monitoring System using Telegram BotKarthikNR5
The document describes a plant water monitoring system using a Telegram chat-bot. It uses IoT technology including a NodeMCU ESP8266 board, soil moisture sensor, and battery. The soil moisture sensor detects the moisture level in the soil and sends it over the network. The NodeMCU code checks the moisture value and sends a notification to the user's Telegram account if the plant needs watering. The user can interact with the chat-bot to get readings and help using commands like "/start", "/read", "/help", and "/ip".
This document provides an overview of the Android Sensor Framework, which allows accessing sensors and acquiring raw sensor data on Android devices. It describes the key classes and interface used to identify sensors, monitor sensor events, and receive notifications when sensor values change. These include the SensorManager class for accessing sensors and registering/unregistering listeners, the Sensor class for checking a sensor's capabilities, the SensorEvent class for representing sensor events, and the SensorEventListener interface for receiving notifications. It also provides links for further documentation and examples of using the sensor framework in an Android app.
This project is designed to check if person who has booked the meeting is currently present in the room or not. If not for more than 15 minutes since meeting booking time , then meeting should be cancelled with a notification to the user.
(Enemy of the) State of Mobile Location TrackingRichard Keen
Since the rise of the smartphone location tracking has become ubiquitous and is an increasingly controversial and misunderstood technology. This talk discusses the latest approaches in location tracking across the major mobile platforms.
Bluetooth LE & iBeacons by Javier Chávarri (NSBarcelona)barcelonaio
Bluetooth LE, also known as Bluetooth Smart, is a low-power wireless technology standard designed for very low power devices that need to run for years on small batteries or energy harvesters. iBeacons use Bluetooth LE to enable proximity-based interactions and notifications by broadcasting their identifier to nearby Bluetooth LE-enabled devices like smartphones. An app can detect iBeacons and trigger notifications when a user enters or leaves the beacon's region, allowing location-based services.
Extech i5 VS Fluke FLK-VT04 VS Fristaden Lab HT-02 VS FLK-TIX500 VS FLIR ONE ...Karen Burchfield
Extech i5 VS Fluke FLK-VT04 VS Fristaden Lab HT-02 VS FLK-TIX500 VS FLIR ONE Thermal Imager for Android
5 Best Thermal Imaging Camera
Extech i5 Thermal Imaging Camera
Fluke FLK-VT04 Visual Infrared Thermometer
Fristaden Lab HT-02 Thermal Imaging Camera
FLK-TIX500 60HZ Thermal Imager for Troubleshooting and Maintenance
FLIR ONE Thermal Imager for Android
A virtual touch event method using scene recognition for digital televisionEcwaytech
This paper proposes a method to allow applications originally designed for touchscreens to be controlled using infrared remote controls on televisions. The method maps keystrokes on the remote to virtual touch events according to scene recognition of the application. Scene recognition identifies the current part of the application and acquires the corresponding mapping relationship between remote keys and touch events. When tested on a smart TV, the method allowed most applications to be operated remotely with negligible input delay of less than one millisecond.
A virtual touch event method using scene recognition for digital televisionEcwayt
This document proposes a method to operate applications designed for touchscreens on televisions using an infrared remote control without rewriting code or adding new hardware. The method maps remote control keystrokes to virtual touch events based on recognizing the current scene or application. Scene recognition identifies the mapping relationship for that scene, allowing keystrokes to simulate touch operations like swipes and taps. Testing on a smart TV showed input delays of less than one millisecond when using this virtual touch event mapping method with a remote control.
This document describes the system architecture and modules of a smart home system called MyHome. The key modules are:
1. Hardware sensors and actuators that communicate wirelessly with the Central Unit and can turn lights on/off, detect motion, etc.
2. A Central Unit (Raspberry Pi) that communicates with the sensors/actuators via XBee, stores data in the cloud database, and receives commands from the mobile app.
3. A cloud database implemented with Google App Engine that stores home/device data and allows communication between the Central Unit and mobile app.
4. An Android mobile app that users can use to monitor cameras, control lights, and view the state of
Leica Zeno and FME - Creating Engineer Friendly SolutionsSterling Geo
This document discusses how Leica Zeno GNSS solutions and FME software can work together for engineering projects. It provides details on Zeno hardware and software for accurate field data capture. It also explains how FME can automate post-processing of GNSS data by downloading necessary files, processing observations against base station data, and outputting the results in different formats. The document demonstrates these capabilities through examples of asset management, accuracy testing, and generating reports.
This document provides an introduction and overview of the Android operating system. It discusses Android's history and development from 2007 to present. It also describes Android's system architecture, development environment, project structure, and main application components such as activities, services, content providers, intents, broadcast receivers, widgets and notifications. The document concludes by inviting questions and providing sources for further information.
The document provides an overview of the Android operating system. It discusses that Android is an open source, Linux-based operating system designed primarily for touchscreen mobile devices like smartphones and tablets. It also covers the key aspects of Android including its architecture, software stack, applications, SDK, compatibility requirements and some other platforms based on Android like Google TV.
This document provides an overview of the Android operating system. It discusses that Android is an open source platform developed by Google and the Open Handset Alliance for mobile devices. It can run on smartphones, tablets, e-readers and other devices. The document describes the core components of Android including the Linux kernel, middleware, key applications and services. It also covers Android application development and the features and capabilities available to developers.
The document describes a remote sensor and robotic control network called AYA. The goals were to allow researchers to access sensors connected to development boards remotely using high-level languages. It details the client-server approach used, with an AYA client that can access sensors via API calls to the AYA server running on the development board. Technologies like Node.js, Python, and Jupyter were used and sensor access from a client to a remote board was demonstrated, showing the feasibility of the approach.
Android fundamentals and tutorial for beginnersBoom Shukla
Android is an open-source software stack that includes an operating system, middleware, and key applications for mobile devices. It uses the Java programming language and a custom virtual machine called Dalvik. The Android SDK provides tools for developing Android applications. Applications are built from components like activities, services, broadcast receivers and content providers that interact using intents. The manifest file identifies application components and permissions.
It's our major project in which we make an augmented reality based android application.This application is best for travllers who can find nearby places like food,hospitals,ATM etc.just by holding his phone in any direction.
This document discusses sensors on Android devices. It covers an introduction to common sensors like accelerometers and gyroscopes, how sensors are used in Android applications, tips for developing sensor applications, and porting new sensors to Android. The presentation is divided into multiple parts covering the Android sensor framework, sensor hardware, developing and debugging sensor applications, and future directions for sensors on Android.
Zuzor is an interactive performance system that uses a Kinect depth camera to track infrared markers on a dancer or performer in 3D space. It recognizes gestures through a hidden Markov model and triggers graphic animations that are projected to create an augmented reality experience. The system was created for floor and aerial dance performances to interactively augment and emphasize movements and tricks through projected graphics.
This document discusses embedded systems and microcontrollers. It provides information on the Arduino, its basic components like LEDs and sensors. It describes microprocessors and microcontrollers, noting that microcontrollers integrate a computer's CPU and other components onto a single chip. Embedded systems are defined as computer systems designed for specific functions within a larger system. The document also discusses communication protocols like SPI and provides examples of projects using an Arduino, including sending sensor data to the cloud.
This document discusses sensors in the Android operating system. It describes the hardware and software architecture of the Android sensor framework. The hardware includes sensors like accelerometers and magnetometers. The software includes Android classes for accessing sensor data and interfaces for sensor event listeners. It also provides details on implementing the sensor library and callback functions to interface between the Android framework and low-level Linux drivers.
Plant monitoring System using Telegram BotKarthikNR5
The document describes a plant water monitoring system using a Telegram chat-bot. It uses IoT technology including a NodeMCU ESP8266 board, soil moisture sensor, and battery. The soil moisture sensor detects the moisture level in the soil and sends it over the network. The NodeMCU code checks the moisture value and sends a notification to the user's Telegram account if the plant needs watering. The user can interact with the chat-bot to get readings and help using commands like "/start", "/read", "/help", and "/ip".
This document provides an overview of the Android Sensor Framework, which allows accessing sensors and acquiring raw sensor data on Android devices. It describes the key classes and interface used to identify sensors, monitor sensor events, and receive notifications when sensor values change. These include the SensorManager class for accessing sensors and registering/unregistering listeners, the Sensor class for checking a sensor's capabilities, the SensorEvent class for representing sensor events, and the SensorEventListener interface for receiving notifications. It also provides links for further documentation and examples of using the sensor framework in an Android app.
This project is designed to check if person who has booked the meeting is currently present in the room or not. If not for more than 15 minutes since meeting booking time , then meeting should be cancelled with a notification to the user.
(Enemy of the) State of Mobile Location TrackingRichard Keen
Since the rise of the smartphone location tracking has become ubiquitous and is an increasingly controversial and misunderstood technology. This talk discusses the latest approaches in location tracking across the major mobile platforms.
Bluetooth LE & iBeacons by Javier Chávarri (NSBarcelona)barcelonaio
Bluetooth LE, also known as Bluetooth Smart, is a low-power wireless technology standard designed for very low power devices that need to run for years on small batteries or energy harvesters. iBeacons use Bluetooth LE to enable proximity-based interactions and notifications by broadcasting their identifier to nearby Bluetooth LE-enabled devices like smartphones. An app can detect iBeacons and trigger notifications when a user enters or leaves the beacon's region, allowing location-based services.
Extech i5 VS Fluke FLK-VT04 VS Fristaden Lab HT-02 VS FLK-TIX500 VS FLIR ONE ...Karen Burchfield
Extech i5 VS Fluke FLK-VT04 VS Fristaden Lab HT-02 VS FLK-TIX500 VS FLIR ONE Thermal Imager for Android
5 Best Thermal Imaging Camera
Extech i5 Thermal Imaging Camera
Fluke FLK-VT04 Visual Infrared Thermometer
Fristaden Lab HT-02 Thermal Imaging Camera
FLK-TIX500 60HZ Thermal Imager for Troubleshooting and Maintenance
FLIR ONE Thermal Imager for Android
A virtual touch event method using scene recognition for digital televisionEcwaytech
This paper proposes a method to allow applications originally designed for touchscreens to be controlled using infrared remote controls on televisions. The method maps keystrokes on the remote to virtual touch events according to scene recognition of the application. Scene recognition identifies the current part of the application and acquires the corresponding mapping relationship between remote keys and touch events. When tested on a smart TV, the method allowed most applications to be operated remotely with negligible input delay of less than one millisecond.
A virtual touch event method using scene recognition for digital televisionEcwayt
This document proposes a method to operate applications designed for touchscreens on televisions using an infrared remote control without rewriting code or adding new hardware. The method maps remote control keystrokes to virtual touch events based on recognizing the current scene or application. Scene recognition identifies the mapping relationship for that scene, allowing keystrokes to simulate touch operations like swipes and taps. Testing on a smart TV showed input delays of less than one millisecond when using this virtual touch event mapping method with a remote control.
This document describes the system architecture and modules of a smart home system called MyHome. The key modules are:
1. Hardware sensors and actuators that communicate wirelessly with the Central Unit and can turn lights on/off, detect motion, etc.
2. A Central Unit (Raspberry Pi) that communicates with the sensors/actuators via XBee, stores data in the cloud database, and receives commands from the mobile app.
3. A cloud database implemented with Google App Engine that stores home/device data and allows communication between the Central Unit and mobile app.
4. An Android mobile app that users can use to monitor cameras, control lights, and view the state of
Leica Zeno and FME - Creating Engineer Friendly SolutionsSterling Geo
This document discusses how Leica Zeno GNSS solutions and FME software can work together for engineering projects. It provides details on Zeno hardware and software for accurate field data capture. It also explains how FME can automate post-processing of GNSS data by downloading necessary files, processing observations against base station data, and outputting the results in different formats. The document demonstrates these capabilities through examples of asset management, accuracy testing, and generating reports.
This document provides an introduction and overview of the Android operating system. It discusses Android's history and development from 2007 to present. It also describes Android's system architecture, development environment, project structure, and main application components such as activities, services, content providers, intents, broadcast receivers, widgets and notifications. The document concludes by inviting questions and providing sources for further information.
The document provides an overview of the Android operating system. It discusses that Android is an open source, Linux-based operating system designed primarily for touchscreen mobile devices like smartphones and tablets. It also covers the key aspects of Android including its architecture, software stack, applications, SDK, compatibility requirements and some other platforms based on Android like Google TV.
This document provides an overview of the Android operating system. It discusses that Android is an open source platform developed by Google and the Open Handset Alliance for mobile devices. It can run on smartphones, tablets, e-readers and other devices. The document describes the core components of Android including the Linux kernel, middleware, key applications and services. It also covers Android application development and the features and capabilities available to developers.
The document describes a remote sensor and robotic control network called AYA. The goals were to allow researchers to access sensors connected to development boards remotely using high-level languages. It details the client-server approach used, with an AYA client that can access sensors via API calls to the AYA server running on the development board. Technologies like Node.js, Python, and Jupyter were used and sensor access from a client to a remote board was demonstrated, showing the feasibility of the approach.
Android fundamentals and tutorial for beginnersBoom Shukla
Android is an open-source software stack that includes an operating system, middleware, and key applications for mobile devices. It uses the Java programming language and a custom virtual machine called Dalvik. The Android SDK provides tools for developing Android applications. Applications are built from components like activities, services, broadcast receivers and content providers that interact using intents. The manifest file identifies application components and permissions.
OTS Solutions is powerful development company that focus on rapid product development Android Application Development offers the new trend on the mobile market that help for the dynamic applications or complex applications for Android development. It has a dedicated team of brilliant software professionals in Android Application Development, android programming, outsourced android applications.
B. Pokric & DNET team: "Dockerizing" FIWARE Context broker, Complex event processing, protocol adapters and deploying them in cloud: how we used FIWARE and IoT in agriculture.
www.dunavnet.eu
Fra få til mange typer af mobile devices. Lær hvordan du administrerer dine mobile devices via SystemCenter Config Mgr og Windows Intune. Præsentation af Kent Agerlund, CoreTech
Artezio is a leading Russian software outsourcing company focused on telecom, embedded systems, banking and healthcare. It has over 4000 specialists across 6 development centers in Europe and North America. Artezio aims to be one of the world's best telecom and mobile services companies, recognized for its technological expertise and as a great place to work.
The document discusses the development of the Android operating system. It describes how the Open Handset Alliance was formed in 2007 by Google and other companies to develop Android. Android is an open source software stack that includes an operating system, middleware and key apps. It uses the Java programming language and a custom virtual machine called Dalvik. The Android architecture includes frameworks for applications, libraries, the Android runtime and the Linux kernel. It also discusses the lifecycles of Android services and applications.
RestThing: A Restful Web Service Infrastructure for Mash-up Physical and Web ...Weijun Qin
The document describes RestThing, a RESTful web service infrastructure for integrating physical and web resources. It proposes using REST principles to provide interfaces to heterogeneous physical devices. The key components of RestThing include RESTful APIs, an adaptation layer to handle differences in devices, resources that represent devices and web information, a service provider for accessing resources, and applications that can mash up physical and web resources. The document outlines a prototypical implementation of RestThing using a wireless sensor network, RESTful gateway, and Android application to demonstrate physical-virtual integration.
Building IoT Apps in the Cloud WebinarDreamFactory
Ben Busse of DreamFactory and Nat Frampton of FramTack talk about architecting IoT apps in the cloud, including:
- How FramTack is architecting IoT apps for the cloud
- The importance of open standards for IoT
- How DreamFactory helps FramTack develop and deploy IoT apps in the cloud
- Demo of FramTack's Solution Family product for IoT
You can also view the webinar recording here https://www.youtube.com/watch?v=SYd6wcMt_aQ
The document provides an overview of Microsoft's Enterprise Mobility Suite (EMS) for securing access to corporate resources from mobile devices. EMS combines Azure Active Directory Premium, Microsoft Intune, and Azure Rights Management to provide identity and access management, mobile device management, and information protection capabilities. The summary outlines the key components of EMS - using Azure AD Premium for identity management, Intune for mobile device and application management, and Azure Rights Management for data protection and rights management.
This document provides an overview of mobile application development using the Android platform. It discusses Android's architecture including the Linux kernel, libraries, Android runtime using the Dalvik virtual machine, and application framework. It also covers application building blocks like activities, intent receivers, services and content providers. The document concludes with a discussion of development tools, network connectivity, devices, and some limitations of the Android platform.
Melbourne Azure Meetup presentation 1r4 July 2016
- Windows 10 IoT-Core details
- Internet of Things features
- Azure IoT Hub details
- Into to Azure IoT Suite and SDKs
Developing Tizen Operating System Based Solutions - IDF2013 BeijingRyo Jin
The document provides an overview of the Tizen operating system, which is an open source software platform based on HTML5. It can be used for various device types including smartphones, tablets, smart TVs, and in-vehicle infotainment systems. The Tizen software development kit includes tools for developers to create Web and native applications. Original equipment manufacturers can customize Tizen to differentiate their products and end users can enjoy a consistent experience across devices.
Why don't you have all your home devices connected to the internet yet? Here we will present the KNoT meta-platform, an interoperability solution for IoT.
Internet of things (IoT)- Introduction, Utilities, ApplicationsTarika Verma
The document discusses Internet of Things (IoT). It defines IoT as a platform where everyday devices become smarter through intelligent processing and informative communication, creating a connection between the digital and physical world. The document outlines the key functional blocks of IoT including devices, communication, services, management, security, and applications. It also discusses the utilities of IoT and provides examples of domain-specific IoT applications in areas like wireless sensor networks, aquaculture, distributed sensor networks, smart societies, and location-aware services. The document concludes by noting that IoT has added new potential to the internet by enabling communications between objects and humans to make a smarter planet.
Similar to Nervousnet Platform : Build your own Sensor data collection platform - Open Source Project, Mobile Application, Android, Sensors, Java (20)
Did you know that drowning is a leading cause of unintentional death among young children? According to recent data, children aged 1-4 years are at the highest risk. Let's raise awareness and take steps to prevent these tragic incidents. Supervision, barriers around pools, and learning CPR can make a difference. Stay safe this summer!
Introduction to Jio Cinema**:
- Brief overview of Jio Cinema as a streaming platform.
- Its significance in the Indian market.
- Introduction to retention and engagement strategies in the streaming industry.
2. **Understanding Retention and Engagement**:
- Define retention and engagement in the context of streaming platforms.
- Importance of retaining users in a competitive market.
- Key metrics used to measure retention and engagement.
3. **Jio Cinema's Content Strategy**:
- Analysis of the content library offered by Jio Cinema.
- Focus on exclusive content, originals, and partnerships.
- Catering to diverse audience preferences (regional, genre-specific, etc.).
- User-generated content and interactive features.
4. **Personalization and Recommendation Algorithms**:
- How Jio Cinema leverages user data for personalized recommendations.
- Algorithmic strategies for suggesting content based on user preferences, viewing history, and behavior.
- Dynamic content curation to keep users engaged.
5. **User Experience and Interface Design**:
- Evaluation of Jio Cinema's user interface (UI) and user experience (UX).
- Accessibility features and device compatibility.
- Seamless navigation and search functionality.
- Integration with other Jio services.
6. **Community Building and Social Features**:
- Strategies for fostering a sense of community among users.
- User reviews, ratings, and comments.
- Social sharing and engagement features.
- Interactive events and campaigns.
7. **Retention through Loyalty Programs and Incentives**:
- Overview of loyalty programs and rewards offered by Jio Cinema.
- Subscription plans and benefits.
- Promotional offers, discounts, and partnerships.
- Gamification elements to encourage continued usage.
8. **Customer Support and Feedback Mechanisms**:
- Analysis of Jio Cinema's customer support infrastructure.
- Channels for user feedback and suggestions.
- Handling of user complaints and queries.
- Continuous improvement based on user feedback.
9. **Multichannel Engagement Strategies**:
- Utilization of multiple channels for user engagement (email, push notifications, SMS, etc.).
- Targeted marketing campaigns and promotions.
- Cross-promotion with other Jio services and partnerships.
- Integration with social media platforms.
10. **Data Analytics and Iterative Improvement**:
- Role of data analytics in understanding user behavior and preferences.
- A/B testing and experimentation to optimize engagement strategies.
- Iterative improvement based on data-driven insights.
Enhanced data collection methods can help uncover the true extent of child abuse and neglect. This includes Integrated Data Systems from various sources (e.g., schools, healthcare providers, social services) to identify patterns and potential cases of abuse and neglect.
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...Kaxil Naik
Navigating today's data landscape isn't just about managing workflows; it's about strategically propelling your business forward. Apache Airflow has stood out as the benchmark in this arena, driving data orchestration forward since its early days. As we dive into the complexities of our current data-rich environment, where the sheer volume of information and its timely, accurate processing are crucial for AI and ML applications, the role of Airflow has never been more critical.
In my journey as the Senior Engineering Director and a pivotal member of Apache Airflow's Project Management Committee (PMC), I've witnessed Airflow transform data handling, making agility and insight the norm in an ever-evolving digital space. At Astronomer, our collaboration with leading AI & ML teams worldwide has not only tested but also proven Airflow's mettle in delivering data reliably and efficiently—data that now powers not just insights but core business functions.
This session is a deep dive into the essence of Airflow's success. We'll trace its evolution from a budding project to the backbone of data orchestration it is today, constantly adapting to meet the next wave of data challenges, including those brought on by Generative AI. It's this forward-thinking adaptability that keeps Airflow at the forefront of innovation, ready for whatever comes next.
The ever-growing demands of AI and ML applications have ushered in an era where sophisticated data management isn't a luxury—it's a necessity. Airflow's innate flexibility and scalability are what makes it indispensable in managing the intricate workflows of today, especially those involving Large Language Models (LLMs).
This talk isn't just a rundown of Airflow's features; it's about harnessing these capabilities to turn your data workflows into a strategic asset. Together, we'll explore how Airflow remains at the cutting edge of data orchestration, ensuring your organization is not just keeping pace but setting the pace in a data-driven future.
Session in https://budapestdata.hu/2024/04/kaxil-naik-astronomer-io/ | https://dataml24.sessionize.com/session/667627
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
We are pleased to share with you the latest VCOSA statistical report on the cotton and yarn industry for the month of March 2024.
Starting from January 2024, the full weekly and monthly reports will only be available for free to VCOSA members. To access the complete weekly report with figures, charts, and detailed analysis of the cotton fiber market in the past week, interested parties are kindly requested to contact VCOSA to subscribe to the newsletter.