Ghulam Ishaq Khan Institute of Engineering Sciences and Technology

About: Ghulam Ishaq Khan Institute of Engineering Sciences and Technology is a education organization based out in Topi, Pakistan. It is known for research contribution in the topics: Quantum efficiency & Diode. The organization has 618 authors who have published 940 publications receiving 10674 citations.

A broadband electromagnetic type energy harvester for smart sensor devices in biomedical applications

Abstract: This paper presents the design, fabrication and experimentation of a low power Electromagnetic Energy Harvester (EM-EH) having a broader bandwidth. The proposed prototype exploits the human body motion to generate power for the low profile smart biomedical devices. The working of the proposed EM-EH is illustrated in both laboratory and in the real-time environment. The prototype of EM-EH is fabricated through computer numerical control milling and turning machines. The device is tested in-laboratory at different acceleration levels, and it was inferred that the EM-EH when excited at 3 g induces a maximum voltage of 3800 mV at a resonant frequency of 20 Hz . The results showed that the device successfully charged a completely discharged 1.5 V ( 2850 m A H ) battery within an hour. Additionally, the laboratory experimentation showed that EM-EH is more efficient for a widened operating bandwidth of 70 H z as compared to the conventional devices reported in the literature. Next, the real-time performance of the proposed EM-EH was investigated for harvesting energy from the human body motion such as walking, jogging, and stretching exercise with variable frequency vibrations.

A multi-criteria decision analysis of solid waste treatment options in Pakistan: Lahore City—a case in point

Abstract: Population of the world is increasing day by day, resulting in enormous amount of waste production. In the modern age of great technological advancements, there needs to be a systematic method to keep the environment clean. The waste management activities, i.e., collection, transport and disposal, pose a great challenge to the waste managers as they have to factor in various eclectic factors such as land availability, facilities available, budget, time required and the impact it would have on the environment, while tackling this problem. Lahore, despite being the most developed city of Pakistan, does not have a suitable solid waste management system. An increasing population leads to more waste generation, and in Lahore the situation is no different. Several waste management companies are working in the city, but as of yet they have not been able to make significant inroads to completely eradicate the problem. The aim of this paper is to suggest a suitable way for dealing with the waste. To accomplish this aim, a hierarchy-based model is used, considering six criteria and five alternatives. We used multi-criteria decision analysis to decide among different waste management alternatives. Forecasting has been used to find the population and waste produced over the years. Analytical hierarchy process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) are used to rank the feasible alternative. The results show that the population and waste were increasing drastically. Aerobic digestion was ranked as the best alternative for waste management according to AHP and TOPSIS, but there is great variation among the rank of other alternatives.

Clustering the driving features based on data streams

Abstract: This paper presents an innovative idea for the classification of individual drivers. The classification is based on each driver's driving features like, ratio of indicators to turns, number of brakes, number of time horn used, average gear, average speed, maximum speed and gear. K-means and hierarchical clustering is used to separate out the slow, normal and fast driving styles based on recorded data. Experimental result shows that k-means outperformed hierarchical clustering for recorded multi-attribute data.