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Showing posts from June, 2017

Get started with Python Flask Framework on IBM Bluemix

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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. Requirement Git Cf Python 2. Clone example code and run locally git clone http s: //github. com /IBM-Bluemix/ get -started- python cd get -started- python Rename your app Open up, manifest.yml similar like: applications : - name : Lecheebot random-route : true memory : 128 M 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 hello.py Your app is now
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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 ( https://developer.microsoft.com/en-us/windows/iot/docs ). Windows IoT core is the operating system built for Internet of Things. Requirement: -           Windows 10 PC -           SD Card -           Raspberry Pi 2 Get started 1. Download OS for Raspberry Pi Firstly, we need to download Windows 10 IoT core package for Raspberry Pi 2 on the official website: https://developer.microsoft.com/en-us/windows/iot/Downloads 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.

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

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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: https://goo.gl/zhRQze