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Institution

Ghulam Ishaq Khan Institute of Engineering Sciences and Technology

EducationTopi, Pakistan
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.


Papers
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Journal ArticleDOI
19 Dec 2019-Sensors
TL;DR: Analytical and simulation results validate the improved performance of PDMAC in terms of clock synchronization, channel utilization, message loss rate, end-to-end delays, and network throughput, as compared with eminent VANET MAC protocols.
Abstract: Vehicular ad hoc networks (VANETs) are the key enabling technology for intelligent transportation systems. Carrier-sense multiple access with collision avoidance (CSMA/CA) is the de facto media access standard for inter-vehicular communications, but its performance degrades in high-density networks. Time-division multiple access (TDMA)-based protocols fill this gap to a certain extent, but encounter inefficient clock synchronization and lack of prioritized message delivery. Therefore, we propose a priority-based direction-aware media access control (PDMAC) as a novel protocol for intra-cluster and inter-cluster clock synchronization. Furthermore, PDMAC pioneers a three-tier priority assignment technique to enhance warning messages delivery by taking into account the direction component, message type, and severity level on each tier. Analytical and simulation results validate the improved performance of PDMAC in terms of clock synchronization, channel utilization, message loss rate, end-to-end delays, and network throughput, as compared with eminent VANET MAC protocols.

28 citations

Journal ArticleDOI
TL;DR: In this paper, an integrated micro temperature plus humidity sensor system is presented that compensates for the effect of surrounding temperature on the output resistance of humidity sensor, which is fabricated using Electrohydrodynamic Drop-on-Demand (EHD-DOD) printing for the electrodes, and Electrospray deposition for active layer fabrication of humidity sensors.
Abstract: Percentage relative humidity is dependent on environmental temperature but the fact is ignored in most of research on humidity sensors. Secondly, the physical size of sensors should be small enough to enable integration on a commercial microchip. In this work, an integrated micro temperature plus humidity sensor system is presented that compensates for the effect of surrounding temperature on the output resistance of humidity sensor. The sensors were fabricated using Electrohydrodynamic drop-on-demand (EHD-DOD) printing for the electrodes, and Electrospray deposition (ESD) for active layer fabrication of humidity sensors. Electrode line widths were 10 μm while the combined area of both sensors was ∼2 mm2. Meander type silver patterns were used as resistive temperature sensors and interdigitated transducer (IDT) electrodes were used for humidity sensors. The active layer of humidity sensors was fabricated using a novel composite of Polyethylene Oxide (PEO) and 2D Molybdenum disulfide (MoS2) flakes to achieve a highly sensitive (85 kΩ/%RH) and almost linear response for a wide detection range (0–80% RH) of relative humidity. A mathematical model relating the outputs of both sensors was developed to compensate for the effects of temperature. The system presents optimal solution for commercialization ready temperature compensated integrated micro temperature and humidity sensors fabricated through all printing techniques.

28 citations

Journal ArticleDOI
TL;DR: A set of visualization metrics to quantify visualization techniques and a framework for optimizing the layout of a visualization technique is presented, based on an evolutionary algorithm which uses treemaps as a case study.

28 citations

Journal ArticleDOI
01 Aug 2020-Optik
TL;DR: In this article, a polarization-insensitive multi-band metamaterial absorber comprised of four concentric rectangular rib structures, mounted over a dielectric medium, was investigated.

28 citations

Journal ArticleDOI
TL;DR: Drowsiness detection in real-time surveillance videos by determining if a person’s eyes are open or closed is proposed, where the proposed method achieved 95% accuracy, thus showing its feasibility for use inreal-time scenarios.
Abstract: We propose drowsiness detection in real-time surveillance videos by determining if a person’s eyes are open or closed. As a first step, the face of the subject is detected in the image. In the detected face, the eyes are localized and filtered with an extended Sobel operator to detect the curvature of the eyelids. Once the curves are detected, concavity is used to tell whether the eyelids are closed or open. Consequently, a concave upward curve means the eyelid is closed whereas a concave downwards curve means the eye is open. The proposed method is also implemented on hardware in order to be used in real-time scenarios, such as driver drowsiness detection. The evaluation of the proposed method used three image datasets, where images in the first dataset have a uniform background. The proposed method achieved classification accuracy of up to 95% on this dataset. Another benchmark dataset used has significant variations based on face deformations. With this dataset, our method achieved classification accuracy of 70%. A real-time video dataset of people driving the car was also used, where the proposed method achieved 95% accuracy, thus showing its feasibility for use in real-time scenarios.

28 citations


Authors

Showing all 626 results

NameH-indexPapersCitations
Wajid Ali Khan128127279308
Shuichi Miyazaki6945518513
Muhammad Zubair5180610265
Mohammad Islam441929721
Asifullah Khan381925109
Muhammad Waqas323837336
Rana Abdul Shakoor301403244
Noor Muhammad291602656
Abdul Majid282313134
Muhammad Abid273773214
Iftikhar Ahmad261432500
Shaheen Fatima24792287
Ghulam Hussain241271937
Zubair Ahmad241451899
Muhammad Zahir Iqbal231291624
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20235
20229
2021180
2020154
2019100
201863