Monthly Archives: September 2014

Installing processing on Ubuntu Desktop

I am using Ubuntu 14.04 To run Processing, you need to have JAVA. By default, ubuntu do not come with JAVA pre-installed due to licensing issue (DAMN! These biz ppl is blocking the earth turning again). There are 2 type of java runtime you can install, one from openJDK and another one from Oracle. Processing2 at this time of writing only work with the later one. Follow this tutorial on how to install Oracle Java to your ubuntu machine. The process can take up to 3 hours if you have a slow Internet line. After successfully installed, you may proceed to download processing. I like to place my processing under /opt.

Unboxing intel nuc

Needed a SFF to test out installation projects & home server. Got my Intel NUC D54250WYKH from mika@lowyat. Only after visited his company website than i realized I have been there like 10 years ago while studying Game Design in MMU: He is one of the earliest Game Developer in Malaysia!

Added 8MB Ram, wireless pcie, 128GB SSD mSata & cable! at RM1770. This model can install additional 2.5″ HDD but i not going to do that for this moment, just in case in future.

Next, I going to install ubuntu desktop onto this machine by following this tutorial. Important: Your ubuntu might failed to run after installation. You will need to update the bios first. Pls note that this machine only have mini-HDMI port (type c). Most cable you have are type A so you might wanto get a converter for it. I will try running processing on it and will keep you guys update on the benchmark.

Spherical projection mapping

I was at Sasana Kijang KL gallery and they have some really cool installation. One of them which stand up among others is this spherical projection installation. 91e89d0d9d23cab6f8df197a315f8210

Different from most projection mapping i have seen, which project from outer to the object, this one project inner inside a spherical object. Even more amazing, it required only 1 projector and the entire sphere is filled with graphics without gap.

A quick Google search shows that it is done by a UK company called Pufferfish. You can see BNM logo is appear in their client list.

I have no idea how they do it. I think it is a propriety technology.

Hall Sensor

These are the hall effect sensor i have tested out.

Meanwhile, I am playing with my new nano board. But the magnet I have here is not strong enough. It need to be very close to the sensor (like 1cm). Gotto order new rare earth magnet from dx.com then. Simple code to output the analog in reading, and if less then the threshold, light the LED.

const int analogInPin = A0;  // Analog input pin that the potentiometer is attached to
const int analogOutPin = 9; // Analog output pin that the LED is attached to
const int ledPin = 13;

int sensorValue = 0;        // value read from the pot
int outputValue = 0;        // value output to the PWM (analog out)

int threshold = 515;

void setup() {
  // initialize serial communications at 9600 bps:
  Serial.begin(9600); 
  
  pinMode(ledPin, OUTPUT);  
}

void loop() {
  // read the analog in value:
  sensorValue = analogRead(analogInPin);            
  // map it to the range of the analog out:
  //outputValue = map(sensorValue, 0, 1023, 0, 255);  
  // change the analog out value:
  //analogWrite(analogOutPin, outputValue);  
  
  if(sensorValue < threshold)
    digitalWrite(ledPin, HIGH);
  else
    digitalWrite(ledPin, LOW);
    
  // print the results to the serial monitor:
  Serial.print("sensor = " );                       
  Serial.print(sensorValue);  
  Serial.println("");

  // wait 2 milliseconds before the next loop
  // for the analog-to-digital converter to settle
  // after the last reading:
  delay(2);                     
}

const int analogInPin = A0; // Analog input pin that the potentiometer is attached to

const int analogOutPin = 9; // Analog output pin that the LED is attached to

const int ledPin = 13;

int sensorValue = 0; // value read from the pot

int outputValue = 0; // value output to the PWM (analog out)

int threshold = 515;

void setup() {

// initialize serial communications at 9600 bps:

Serial.begin(9600);

pinMode(ledPin, OUTPUT);

}

void loop() {

// read the analog in value:

sensorValue = analogRead(analogInPin);

// map it to the range of the analog out:

//outputValue = map(sensorValue, 0, 1023, 0, 255);

// change the analog out value:

//analogWrite(analogOutPin, outputValue);

if(sensorValue < threshold)

digitalWrite(ledPin, HIGH);

else

digitalWrite(ledPin, LOW);

// print the results to the serial monitor:

Serial.print("sensor = " );

Serial.print(sensorValue);

Serial.println("");

// wait 2 milliseconds before the next loop

// for the analog-to-digital converter to settle

// after the last reading:

delay(2);

}

This sensor in red board is a linear hall effect sensor.

Next, I try on the black board one. According to dx.com comment, this is a digital output and 10k resister is required between the 5v & signal pin.

After placing the resistor in between, i getting reading of 1023 (off magnet) & 15 (with magnet). It is analog but the value only 2 state, so like the comment said, it did behave like digital. I can then use a map function to turn the value into either 0 or 1. Next, I tried another sensor that looks exactly the same like above, except the packaging label with “analog hall sensor”. with the same circuit (with resistor removed) and code, this is what i observed:

without magnet, ouput reading at 522
with magnet place in direction of the top of board, output reading range between 522- 770
with magnet place in direction of the bottom of board, output reading range between 522-413

Interesting! seems like it can tell at which direction the magnet is coming from.

Arduino Nano

Arduino Nano is basically a smaller version of Arduino board. There are 2 type of Arduino Nano at the time of writing:

Arduino Nano 3.0 (ATmega328)
Arduino Nano 2.3 (ATmega168)

More detail can be found here at official site The one I have here is v3. The obvious difference between an Uno and nano board I notice immediately is: nano board pins is facing towards bottom, where you normally mount it onto a small breadboard to use it.

Next, all the pin sequence are different as shown in this picture.

When uploading code from Arduino IDE, you might see some warning msg appearing at debug windows:

Sketch uses 3,010 bytes (9%) of program storage space. Maximum is 32,256 bytes. Global variables use 203 bytes (9%) of dynamic memory, leaving 1,845 bytes for local variables. Maximum is 2,048 bytes.

It means you actually scarify the memory space in exchange for the small footprint. So far I have used it for digital out & analog in and behave just the same with uno.

Angularjs with Baasbox

Ionic framework for mobile app development use angularJs at its core while baasBox is an open source backend-as-a-services platform (pretty much like parse.com except it allow you to self hosted). I encounter problem when using both together. baasBox provide a javascript framework but it required jquery as dependency. Problem is… when I using baasbox ajax function, its callback fail to access angularJs $scope directly, hence i failed to assign variable to my html. for example, this would fail:

.controller('UserCtrl', function($scope, $rootScope, baasbox) {
	$scope.username = "unknown";
	$scope.login = function() 
	{
		BaasBox.login("test", "test")
		.done(function (user) {
			console.log("Logged in ", user.username);	
			$scope.username = user.username;
		})
		.fail(function (err) {
			console.log("error ", err);
		})
	};
})

.controller('UserCtrl', function($scope, $rootScope, baasbox) {

$scope.username = "unknown";

$scope.login = function()

{

BaasBox.login("test", "test")

.done(function (user) {

console.log("Logged in ", user.username);

$scope.username = user.username;

})

.fail(function (err) {

console.log("error ", err);

})

};

})

Then, I did a little experiment trying to grab baasBox API in raw and prove to be successful:

.controller('UserCtrl', function($scope, $rootScope, baasbox) {
	$scope.username = "unknown";
	$scope.login = function() 
	{
		console.log(baasbox);
		$http.post(baasbox.endPoint+'/login', 
			{
				username: 'test',
				password: 'test',
				appcode: baasbox.appCode
			},
			{
				'X-BAASBOX-APPCODE: ': 'Basic '+baasbox.appCode,
			}
		).success(function (json) {
			console.log(json.data.user);
			$scope.username=json.data.user.name;
		});
	};
}

.controller('UserCtrl', function($scope, $rootScope, baasbox) {

$scope.username = "unknown";

$scope.login = function()

{

console.log(baasbox);

$http.post(baasbox.endPoint+'/login',

{

username: 'test',

password: 'test',

appcode: baasbox.appCode

{

'X-BAASBOX-APPCODE: ': 'Basic '+baasbox.appCode,

}

).success(function (json) {

console.log(json.data.user);

$scope.username=json.data.user.name;

});

};

}

This means I can write an angular javascript sdk for baasBox. That would be a prefect solution but I am running out of time. Then, I think of the possibility to make use of $scope.$apply. This allow me to use back the baasBox jquery base js sdk with angularJs in a straight forward manner.

.controller('UserCtrl', function($scope, $rootScope, baasbox) {
	$scope.username = "unknown";
	$scope.login = function() 
	{
		BaasBox.login("test", "test")
		.done(function (user) {
			console.log("Logged in ", user.username);	
			$scope.$apply(function(){
				$scope.username = user.username;
			});
		})
		.fail(function (err) {
			console.log("error ", err);
		})
	};
})

.controller('UserCtrl', function($scope, $rootScope, baasbox) {

$scope.username = "unknown";

$scope.login = function()

{

BaasBox.login("test", "test")

.done(function (user) {

console.log("Logged in ", user.username);

$scope.$apply(function(){

$scope.username = user.username;

});

})

.fail(function (err) {

console.log("error ", err);

})

};

})

Bingo! It works like a charm now.

Screen base output for Arduino

Arduino itself can be fun enough, but most installation required either screen base output while utilizing the wide range of sensor input. However, arduino itself was not design for screen base project. It works together with processing and required a external machine for this. Then, raspberry pi came out. As a mini computer, it is many time more powerful than arduino, and have a HDMI port output. Maker can code in Python and still connect to the wide range of sensor input. Other than rPi, we also have beagleboard and etc. And now Arduino is working hard to come out Arduino Tre, which can directly compete with rpi. Lets not forgot the pcDuino which was design to solve these issues. However, being a ARM base devices (same with rpi, beagleboard and etc)… we have an issues here with running processing on it directly. Processing required JAVA and it has to be oracle JAVA. Maker have tried to hack around using open-JDK and have various degree of success:

Still, processing only supporting java 7. https://github.com/processing/processing/wiki/Supported-Platforms There is a thread in processing forum: processing on single board computer but it is not getting active reply at the time of writing. So in a production environment and if I insist to use processing, I can’t risk myself using an ARM-base machine. Most installation need to run 24/7. The safest way, still, is to use a SFF rig connecting arduino to talk with the sensors. Unless, I give up on processing and start writing native code like python and etc. I am getting a few pieces of gadget (rasPi B, beaglebone black, pcduino, intel nuc+arduino nano) and will experiment with them. Will post report up here then.

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Monthly Archives: September 2014

Installing processing on Ubuntu Desktop

Unboxing intel nuc

Spherical projection mapping

Hall Sensor

Arduino Nano

Angularjs with Baasbox

Screen base output for Arduino