Institution
National University of Computer and Emerging Sciences
Education•Islamabad, Pakistan•
About: National University of Computer and Emerging Sciences is a education organization based out in Islamabad, Pakistan. It is known for research contribution in the topics: Computer science & The Internet. The organization has 1506 authors who have published 2438 publications receiving 26786 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this article, a Gauss-Bonnet cosmological model with logarithmic trace term and a linear trace term was considered and a detailed graphical analysis was done for analyzing the bouncing universe for both the models.
18 citations
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TL;DR: In this paper, the authors investigated the field equations of modified theory of gravity, where R and represent the Ricci scalar and scalar potential, respectively, and considered the Friedmann-Rober...
Abstract: The aim of this paper is to investigate the field equations of modified theory of gravity, where R and represent the Ricci scalar and scalar potential, respectively. We consider the Friedmann–Rober...
18 citations
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TL;DR: Comparative results with different metaheuristic techniques available in the literature show that the electricity consumption cost and peak-to-average ratio are effectively optimized using the proposed PBO algorithm.
Abstract: The conventional power system has been evolving towards a smart grid system for the past few decades. An integral step in successful realization of smart grid is to deploy renewable energy resources, particularly rooftop photovoltaic systems, at smart homes. With demand response opportunities in smart grid, residential customers can manage the utilization of their demand responsive appliances for getting economic benefits and incentives in return. In this regard, this paper proposes an effective home energy management system for residential customer to optimally schedule the demand responsive appliance in the presence of local photovoltaic and energy storage systems. For efficient home-to-grid energy transactions in home energy management system, the stochastic nature of photovoltaic power generation is modeled with the beta probability distribution function for solar irradiance. The main contribution of this paper is the application of polar bear optimization (PBO) method for optimally solving the scheduling problem of demand responsive appliances in home energy management system to minimize electricity consumption cost as well as peak-to-average ratio. The effectiveness of the proposed metaheuristic optimization technique is proven by performing different case studies for a residential consumer with different base load, uninterruptible deferrable, and interruptible deferrable appliances under a real-time energy price program. Comparative results with different metaheuristic techniques available in the literature show that the electricity consumption cost and peak-to-average ratio are effectively optimized using the proposed PBO algorithm.
18 citations
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TL;DR: In this paper, the Suzuki type multivalued contraction is introduced, and the authors prove some fixed point results in the setting of a metric space equipped with a binary relation, and obtain a homotopy result for a second-order differential equation.
Abstract: In this paper, we will introduce the concept of Suzuki type multivalued - contraction and we will prove some fixed point results in the setting of a metric space equipped with a binary relation. Our results generalize and extend various comparable results in the existing literature. Examples are provided to support the results proved here. As an application of our results, we obtain a homotopy result, proving the existence of a solution for a second-order differential equation and for a first-order fractional differential equation.
18 citations
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10 Dec 2009TL;DR: A non-intrusive fatigue detection system based on the video analysis of drivers that concludes that the driver is non-vigilant due to fatigue and is thus warned through an alarm.
Abstract: This paper presents a non-intrusive fatigue detection system based on the video analysis of drivers. The focus of the paper is on how to detect yawning which is an important cue for determining driver’s fatigue. Initially, the face is located through Viola-Jones face detection method in a video frame. Then, a mouth window is extracted from the face region, in which lips are searched through spatial fuzzy c-means (s-FCM) clustering. The degree of mouth openness is extracted on the basis of mouth features, to determine driver’s yawning state. If the yawning state of the driver persists for several consecutive frames, the system concludes that the driver is non-vigilant due to fatigue and is thus warned through an alarm. The system reinitializes when occlusion or misdetection occurs. Experiments were carried out using real data, recorded in day and night lighting conditions, and with users belonging to different race and gender.
18 citations
Authors
Showing all 1515 results
Name | H-index | Papers | Citations |
---|---|---|---|
Muhammad Shoaib | 97 | 1333 | 47617 |
Muhammad Usman | 61 | 1203 | 24848 |
Muhammad Saleem | 60 | 1017 | 18396 |
Abdul Hameed | 52 | 507 | 14985 |
Muhammad Javaid | 48 | 344 | 8765 |
Muhammad Umar | 45 | 228 | 5851 |
Muhammad Adnan | 38 | 381 | 5326 |
JingTao Yao | 37 | 129 | 4374 |
Amine Bermak | 37 | 441 | 5162 |
Nadeem A. Khan | 34 | 166 | 4745 |
Majid Khan | 33 | 230 | 3818 |
Tariq Shah | 32 | 195 | 3131 |
Muhammad Shahzad | 31 | 228 | 4323 |
Maurizio Repetto | 30 | 252 | 3163 |
Tariq Mahmood | 30 | 93 | 3772 |