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* | * Zxing for iOS, qr code decoder library. | ||
<videoflash | <videoflash>H8WjmDBHgw4</videoflash> | ||
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*[http://www.thaiauto.or.th/statistic/motorcycle_sales.asp III.Vehicle sales table in 1993-2011.] | *[http://www.thaiauto.or.th/statistic/motorcycle_sales.asp III.Vehicle sales table in 1993-2011.] | ||
*[http://th.wikipedia.org/wiki/%E0%B8%81%E0%B8%A3%E0%B8%B8%E0%B8%87%E0%B9%80%E0%B8%97%E0%B8%9E%E0%B8%A1%E0%B8%AB%E0%B8%B2%E0%B8%99%E0%B8%84%E0%B8%A3%E0%B9%81%E0%B8%A5%E0%B8%B0%E0%B8%9B%E0%B8%A3%E0%B8%B4%E0%B8%A1%E0%B8%93%E0%B8%91%E0%B8%A5 IV.Bangkok Metropolitan Region] | *[http://th.wikipedia.org/wiki/%E0%B8%81%E0%B8%A3%E0%B8%B8%E0%B8%87%E0%B9%80%E0%B8%97%E0%B8%9E%E0%B8%A1%E0%B8%AB%E0%B8%B2%E0%B8%99%E0%B8%84%E0%B8%A3%E0%B9%81%E0%B8%A5%E0%B8%B0%E0%B8%9B%E0%B8%A3%E0%B8%B4%E0%B8%A1%E0%B8%93%E0%B8%91%E0%B8%A5 IV.Bangkok Metropolitan Region] | ||
Zxing (Zebra-Crossing) site reference | |||
*[http://code.google.com/p/zxing/ Zxing Website ] | |||
==Data Collecting Experiment== | ==Data Collecting Experiment== |
Revision as of 18:39, 1 January 2012
WinMe Project Synopsis
Mobility Management measures is a Pull, a new concept in a developed country is expected to effectively manage the growing amount of private car. The main idea is to give knowledge or publicity information related to travel through the cooperation between various departments. Along with the use of tools or measures to support or encourage motorists to change their attitudes and behavior on the trip (Voluntary Behavior Change).
- Winme 10.png
WinMe Project Synopsis#10
Project Inquiries:
The German railway company Deutsche Bahn has released a beautiful educational video that explains the benefits of an environmentally conscious behaviour. In particular, the video suggests that travelling by train produces less CO2 than travelling by car or by plane.
<videoflash type=vimeo>30990475|437|236</videoflash> link to video source: here
- Zxing for iOS, qr code decoder library.
<videoflash>H8WjmDBHgw4</videoflash>
Referred resources::
Bangkok Transit System (BTS) Fact sheets
Emissions of carbon dioxide per capital
Automotive Statistics
- I.Cars produced in the world.
- II.Vehicle sales stats in Thailand.
- III.Vehicle sales table in 1993-2011.
- IV.Bangkok Metropolitan Region
Zxing (Zebra-Crossing) site reference
Data Collecting Experiment
This section I would like to describe about my first experiment with data collecting. During Monday 14.11 to Sunday 20.11, I collected the data from roughly measurement distances between the places I had been in each day. After that, I jot down how far distances I travelled then calculated into amount of Carbon Dioxide, which I was able to save. Please look at the illustrators below:
When the datas were adequately collected. The datacollect.tsv was set up as in row and column as below:
I made a sketch which visualize the datas, which i collected. The sketch represented in bubble animation form using sin() function and each circles' color represents the day when I collected the informations. In addition, maximum size of growing circle informs how much Co2 rate, I could save. Lastly, the circles are randomly located by random() function with array[]. See my several visualized datas as pictures below:
dataCollectingCo2 sketch example code
/* data visualization :: How much I can save Co2 releasing in 1 week.
*
* an experiment from collecting the data then visualize these datas to motion graphic.
*
*
* Patawat Phamuad 2011
*/
Table dataTable;
int numCircles=7;
int rowCount;
float rad = 20f;
float angle = 0.0f;
float speed = 0.01;
float[] xPositions = new float[numCircles];
float[] yPositions = new float[numCircles];
void setup() {
size(300, 300);
noStroke();
smooth();
dataTable = new Table("datacollect.tsv");
rowCount = dataTable.getRowCount();
for (int i=0; i< numCircles; i++) {
xPositions[i] = random(0, width);
yPositions[i] = random(0, height);
}
}
void draw() {
background(0);
angle += speed;
float diameter = sin(angle)*300;
for (int row=0;row<rowCount;row++) {
String date = dataTable.getString(row, 0);
float distance = dataTable.getFloat(row, 1);
float co2 = dataTable.getFloat(row, 2);
if (row==0) {
fill(255, 255, 0, 155);
ellipse(xPositions[row], yPositions[row], diameter*co2, diameter*co2);
}
else if (row==1) {
fill(234, 114, 234, 155);
ellipse(xPositions[row], yPositions[row], diameter*co2, diameter*co2);
}
else if (row==2) {
fill(42, 165, 27, 155);
ellipse(xPositions[row], yPositions[row], diameter*co2, diameter*co2);
}
else if (row==3) {
fill(232, 84, 26, 155);
ellipse(xPositions[row], yPositions[row], diameter*co2, diameter*co2);
}
else if (row==4) {
fill(15, 8, 255, 155);
ellipse(xPositions[row], yPositions[row], diameter*co2, diameter*co2);
}
else if (row==5) {
fill(121, 13, 180, 155);
ellipse(xPositions[row], yPositions[row], diameter*co2, diameter*co2);
}
else if (row==6) {
fill(255, 0, 0, 155);
ellipse(xPositions[row], yPositions[row], diameter*co2, diameter*co2);
}
println("Date:" +date+ " Total distance:" +distance+" km."+ " Co2 Safe:"+co2 +" kg.");
}
println("========");
println(rowCount);
}
to download example sketches click link below: Media:dataCollectingCo2.zip