Showing posts from June, 2017

Get started with Python Flask Framework on IBM Bluemix

Get started with Python Flask Framework on IBM Bluemix This work is based on Getting started with Python on Bluemix Tutorial The tutorial will develop a Python web application based on Flask framework and deploy the app on IBM Bluemix. The app shows up a basic form which users can type their names. When hit enter the name will be added to database and can be accessed at http://base_url/api/visitors 1. RequirementGitCfPython 2. Clone example code and run locallygit clone your app Open up,manifest.yml similar like: applications: - name: Lecheebot random-route: true memory: 128M Run your app locally Ensure that you have installed pip in your PC. If not, follow this post: pip and setuptool on windows now, you can run your app locally by typing the command: pip install -r requirements.txt python Your app is now accessible at http://localhost:8080 3. Deploy to IBM Bluemix using Cloud F…
Installing Windows 10 IoT Core for Raspberry Pi In this post I will be going to process of how to install Windows 10 IoT core for Raspberry Pi 2. For more information about Windows IoT Core, please visit the official site ( Windows IoT core is the operating system built for Internet of Things.
Requirement: -Windows 10 PC -SD Card -Raspberry Pi 2
Get started1. Download OS for Raspberry Pi Firstly, we need to download Windows 10 IoT core package for Raspberry Pi 2 on the official website: After downloading the package, we then Install Windows IoT Core For Raspberry Pi on your PC. Double-click on the file downloaded and install Windows 10 IoT Core for Raspberry Pi.
After installing, the flash file will be saved in your C drive (C:\Program Files (x86)\Microsoft IoT\FFU\RaspberryPi2\flash.ffu)
2. Download and install Windows ADK…

My latest publication: Environment monitoring system for agricultural application based on wireless sensor network

This paper proposes an Internet of Thing system architecture based on Wireless Sensor Network (WSN) for agricultural applications. The system consists of sensor nodes and a gateway, which allows a user to monitor environmental data for agriculture using a web browser. The sensor node is a microcontroller based Arduino including wireless module and connected sensors such as temperature, relative humidity, luminosity, air pressure and other sensors. A WiFi interface is deployed to exchange the environmental information from sensor nodes to the gateway running Linux. The gateway manages and transfers data to a Cloud where data were stored and visualized as graphs.
For more infomation: