Project for Dr. Simon Yang, University of Guelph, Robotics Lab, Winter 2014
“Controlling Surgical Robots”
The introduction of robotics in surgery is a new and flourishing field in today’s world. Surgical Robots promise their patients a minimally invasive operation, allowing specialists to operate via the robot to remote areas and the operation of sensitive areas to be operated by magnified 3 D vision. The control of these robots is very complex and is an ongoing research topic for many. This review, was to describe the control processes available today, controls starting from the surgeon’s side cart to the patient’s side cart. The manipulator feedback systems used in these robots, which manufacturers rarely disclose was tried to be revealed in this review paper. This paper further discussed the future ongoing improvements for the hap tic arm controllers, the advancement of tele-robotic surgery and the automation of surgical robots.
Project for Dr. Fantahun Defersha, University of Guelph, Intelligent Systems Lab, Winter 2015
"Simulation of Localization used in Wireless Sensor Networks by Semi definite Programming "
An optimisation solution for the wireless network localisation problem based entirely on connectivity-induced constraints is described. Anchors distance in the network is formulated as a set of geometric constraints on the system. The final solution of a problem for combining all constraints yields tracking for the unknown positions of the nodes in the network. There is a variety of different approaches to solve this problem such as semi-definite programming (SDP) based, sum of squares and second order cone programming, and between them, SDP-based approaches have shown good performance. In our project, the primary SDP approach had been modelled and its performance was compared by simulation results of other papers in order to enhance its performance. In SDP approaches, errors in approximating the given distances are minimized as an objective function and thus the error was the main object of comparison.
Research for Bio nano Labs, University of Guelph, School of Engineering, Fall, 2014
“Design of wearable wireless sensor node for detection of H1N1, avian flu, in poultry farms using MEMS technology.”
Detection of early stages of highly pathogenic avian influenza (HPAI) in infected chickens requires intensive surveillance of host animals best accompanied by a wearable wireless node with a thermistor and an accelerometer, Earlier developed prototypes, were however unable to detect many strains of H1N1 viruses using fever or other measures of the further evolution of HPAI. A wireless sensor network that detects a variety of early HPAI symptoms indicating reduced appetite and a significant reduction in egg production in a chicken cage would therefore be highly useful as an effective signal of the outbreaks. An improved design of the sensory node prototype involves a thermistor, an accelerometer and a mass sensor along with an egg counter for that particular cage. Experiments used differences in body temperature, reduced egg count, no significant reduction in the mass of food in the counter and lower activity levels. When any two of the four counterparts coincide together over a number of sensor nodes, the user should be alerted. Results include detection based on a greater range of symptoms; greater accuracy of measure and identifying of false alarms; including the sensor location, through the web server. In this project, thus, an improved detection of avian influenza in the early stages of detection will be shown.
Research Assistant, University of Guelph, Food Science Department, Fall, 2015
“Prion Protein Detection Methods in Food.”
Prion diseases are occurring in many places due to consuming animal proteins infected with prions. However meat could be tested and several other parts could be consumed in delicate cuisines if proper detection methods were used. This project was a review on the prion protein detection bio-assay system and bio sensors available in the market. Interpretation and comparison of results in computational form from Surface Prism Resonance and the Quartz Crystal Mass deposition techniques which are the most widely used methods for prion detection till date.
Project under Dr Emily Chiang, University of Guelph, School of Engineering, Fall, 2014
“Process Intensification of Municipal solid waste to energy plants”
Project objective was to redesign the MSW waste to energy plant overcoming all the problems in current plants using PI techniques such as energy use reduction by reducing start-up and shut-down times which causes energy losses or by heat integration. Cost reduction by new developed equipment by reducing the use of fuels for combustion. Increased process flexibility by using more integrated reactors and inventory reduction by decreasing the size of the flu gas treatment unit. Greater attention to quality and increase waste to energy conversion efficiency. Better environmental performance by eliminating many of gas volumes and components.