Dr. A.Q. Khan Institute of Computer Sciences & Information Technology (KICSIT), Kahuta
Supervisor(s):
Nasir Mahmood
Group Member(s):
Asim Mahmood
Nazish Iqbal
Zainab Hafeez
Abstract:
Specific objective is to develop a system that differentiates between pain and other signals, but ultimate goal of project will be to measure the intensity ofpain signals. In the field of medicine there is just one subjective way to know about pain, that is, patient itself feels, tells the physician about the pain and its intensity, called subjective approach. That is a problem for the physician to judge about the pain and its intensity in order to diagnose the problem. So a system is needed that not only detects the pain at brain but in addition to that it can measure the strength of that pain. To capture the signals we use the famous EEGtechnique, the electrodes sensors that are traditionally used for capturing brain signals. Then the signals undergoes proper signal conditioning; filtration and amplification several timers to filter out the required bands (Rissacher, 10-11March 2007). At this stage the signals intensity will be calculated and latterly signals are given to interfacing circuitry to move into PC. In the PC signals are modeled via some software and we move towards plots and other processing.
2nd Prize in Innovation Category
Title:
Porting of Android OS on ARM Based Machine & Application Development
University:
NUST, SEECS, Islamabad
Supervisor(s):
Muhammad Ali
Group Member(s):
Mohsin Iqbal
Abstract:
Development in Embedded system Linux Porting of Android OS on friendly ARM 6410 Android application development. Boot up settings for android. Layout for Android SDK. Using android in embedded systems to overtake closed source OS.
1st Prize in Industrial Application
Title:
Design and Implementation of a Low Cost Dual-Axis Heliostat Mirror System for Power Production Purposes
University:
University of The Punjab New Campus, Lahore
Supervisor(s):
Nauman Haider
Group Member(s):
M. Salman Tahir
Hafiz M. Ishtiaq Awan
Muzzamil Janjua
Abstract:
The main objective is to develop a cost effective heliostat system which is capable of tracking sun throughout the day without any sensor. A parabolic reflector is used to converge sunlight at a single point. This converged sunlight is collected and then used for power generation purposes. Moreover, this light can be transferred through fiber optics or more recently liquid optics. The sensor less tracking of sun and movement of the system is governed by complex astronomical calculations which give us the location of the sun at a particular latitude, longitude and time. The system employs accurate gear assemblies and feedback control system to achieve precise and smooth motion required for tracking. Maintenance free software of the system needs only to be configured once. It has only one time manufacturing cost and its maintenance cost is negligible with respect to output of the system.
2nd Prize in industrial Application
Title:
Development of Creep Recovery Device for Polymer Modified Asphalts.
University:
University of Engineering & Technology, Lahore
Supervisor(s):
Muhammad Umer Shafiq
Group Member(s):
Sulaiman Majeed
Abstract:
Several test methodologies have been proposed in the past to characterize asphalt binders under dynamic or static loading. Creep of asphalt binder under static load has been used to characterize asphalt binders for permanent deformation or rutting potential. Several equipments have been proposed in the past to measure the creep and recovery properties of asphalt binder under static load and unload conditions. One of the most commonly used devices is the Dynamic Shear Rheometer (DSR) In order to overcome some of the limitations and the associated cost, creep and recovery equipment was developed as an undergraduate final year project. The equipment was specifically designed to take large loads and strain values to accommodate polymer modified asphalt binders. The cost of the equipment ranges between 15-20 thousand rupees, so as to make it affordable for highway industry. The deformation (creep and recovery) under the applied load is recorded using a digital camera whichcan then be read using a computer software.