Transport Model For Science Exhibition Essay

A school-based Science Fair in Bangladesh

Mohamamd Kamrul Islam Bhuiyan, Sr. Knowledge Officer (M&E), Practical Action, Bangladesh

With the experience of last two years the Science Fair 2015 increased its size. About 135 projects presented in the 3rd BFF-Scholastica-Samakal Science Fair 2015 organized by Kingbodondi Media at Scholastica School and College premises, Uttara, Dhaka, Bangladesh during 27 and 28 February 2015.

Here Practical Action, Bangladesh was knowledge partner to support smooth completion of the program. Due to strike the date rescheduled from 30-31 January 2015 to 27-28 February 2015. Though 24 schools from outside Dhaka city were invited to join but due to long time strike only a few schools presented their projects.

But within Dhaka city from 20 schools around 400 students participated in the program.
According to nature the variety of projects are really significant. Among those, control of road and river transport accident, waste management, desalinisation plant for safe drinking water, security system, clean city, air cooler, drone technology, robot as daily worker and electricity power from different sources are the major subjects. Use of LED lights, laser lights, magnet, and remote control system were very dominant at those stalls.
The prizes given in two categories namely senior and junior students group. Automatic goods and passenger controller, Magnet train, automatic thief catching device, solar powered desalinisation plant are prized in senior students group and air pressurised bottle, static electricity, lemon battery are in junior students group.

The chief guest of the Science Fair was media personality and agriculture development activist Shykh Seraj.

List of projects presented in the Science Fair 2015:

1. Solar Powered Desalinisation Plant
2. Making and Re-use Electricity
3. A Digitalized World
4. Advance Security System
5. Automatic Thief Catching Device and Comfortable Save House
6. Making Electricity From Transport
7. Free Electricity Inverter
8. Solar Power And Development of Electricity
9. The Amphibious Version of Drone
10.  Electricity Maker
11.  Power Saving Speedboat
12.  Helicopter
13.  An Ideal City From Road
14. Hydroponic Method
15. Using Two or More Pulleys Reduces the Amount of Effort Needed
16. Rainbow in a Glass
17. Solar System Accelerator Stairs
18.  Pen Lamp
19. Zero Energy Cool Chamber
21. Clapping Circuit
22. Pocket Charger Light
23. Train Detector With IR Sensor
24. Charger Without Electricity
25. Solar Boat
26. Motors With Fan and Light
27. Automatic Street Light
28. Electrolysis
29. How to Save People in a Bus From Petrol Bombs
30. Spy copter
31. Making Traffic Better
32. Oil Skimmer
33. Save Sundarban
34. Aero Dynamics
35. Forensic Science
36. Milk Plastic
37. Security System
38. Magnetic Trains
39. Space Farming
40. Wind Turbine
41. Earthquake Resist Building For Bangladesh
42. Energy Salt Water
43. Nuclear Power Plant
44. Portable Fire Alarm System
45. The Defensive Railway of Bangladesh
46. Solar City
47. Invisible Ink
48. The Robot
49. Spying Periscope
50. Simple DC Electric Motor
51. Security alert
52. Rapid Colour Changing Chemistry
53. Planetarium
54. Waste Management
55. The Floating Car
56. Solar City
57. Burglar Alarm For Banks
58. The Distinguishing Candle
59. Modern Technology
60. Self-Infinity energy by water
61. Air Rocket
62. Laser System Security
63. Static Electricity
64. Lemon Battery
65. Pollution Free
66. Burglar Alarm
67. Non- Electric Air Cooler
68. Mobile Oven
69. Flight (Aerodynamics and Aero foil)  
70. Volcano
71. Ice Cooler
72. Solar Bottle
73. Material and matter
74. Iss-International Space Station
75. Air Cooler
76. Magnetic Buzzing Bee
77. Volcano's Eruption
78. Spiral Galaxy
79. Simple Toy Motor
80. Hydro Robot
81. Mobile Phone Charging by Talking or Creating Sounds
82. Baby Diaper Alarm
83. Medicine bottle informed about taking medicine

Imagine a transportation system where vehicles communicate directly with each other in real time, giving drivers warnings about traffic delays, allowing a single driver to control multiple vehicles or routing vehicles around hazardous road conditions. Those are all aspects of the "intelligent transportation" concept. And researchers have developed a model to improve the clarity of the vehicle-to-vehicle (V2V) transmissions needed to make that concept a reality.

"The model helps us understand how the V2V signals are distorted," says Dr. Dan Stancil, head of North Carolina State University's Department of Electrical and Computer Engineering and co-author of a paper on the work. "And understanding how the signal may be distorted allows you to design a signal that is less likely to become distorted in the first place.

"While there are smartphone apps that can tell you about traffic jams, there is a time lag between when the traffic jam begins and when the driver is notified," Stancil says. "One advantage of this sort of direct communication between vehicles is that it has very little time delay, and could warn you to apply the brakes in response to an event only hundreds of yards away."

V2V communication relies on transmitting data via radio frequencies in a specific band. But the transmission is complicated by the fact that both the transmitter and the receiver are in motion -- and by the reflected radio waves, or radio echoes, that bounce off of passing objects. These variables can distort the signal, causing errors in the data.

The new model accounts for the motion of the transmitter and receiver, but previous models have done that as well. Previous models also addressed the problem of radio echoes in V2V communication by incorporating a uniform distribution of objects surrounding each vehicle. However, this approach does not accurately capture many real-world V2V communication scenarios. Other models use realistic distributions of objects, but require powerful computers to painstakingly calculate the contributions from each object.

The researchers recognized that most roads are lined with objects that run parallel to the road itself, such as trees, gas stations or parked cars. This means the objects that can reflect radio waves are not uniformly distributed in all directions. By accounting for this parallel distribution of objects, the researchers were able to create a model that more accurately describes how radio signals will be affected by their surroundings. That information can be used to adjust the transmission signal to improve the clarity of the data transmission. In addition, the model is relatively simple to calculate and does not require a powerful computer.

"We want to continue fine-tuning the model, but the next step is to incorporate this information into V2V technology to improve the reliability of V2V signals," Stancil says.

The paper, "A Roadside Scattering Model for the Vehicle-to-Vehicle Communication Channel," is published online in IEEE Journal on Selected Areas in Communication. Lead author of the study is Dr. Lin Cheng of Trinity College in Connecticut. The paper was co-authored by Dr. Fan Bai of the General Motors Research Center. The research was supported by General Motors.

Story Source:

Materials provided by North Carolina State University. Note: Content may be edited for style and length.

Journal Reference:

  1. Lin Cheng, Daniel D. Stancil, Fan Bai. A Roadside Scattering Model for the Vehicle-to-Vehicle Communication Channel. IEEE Journal on Selected Areas in Communications, 2013; DOI: 10.1109/JSAC.2013.SUP.0513040

Cite This Page:

North Carolina State University. "New model to improve vehicle-to-vehicle communication for 'intelligent transportation'." ScienceDaily. ScienceDaily, 16 July 2013. <>.

North Carolina State University. (2013, July 16). New model to improve vehicle-to-vehicle communication for 'intelligent transportation'. ScienceDaily. Retrieved March 14, 2018 from

North Carolina State University. "New model to improve vehicle-to-vehicle communication for 'intelligent transportation'." ScienceDaily. (accessed March 14, 2018).

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