http://hdl.handle.net/123456789/20 2026-04-04T12:04:28Z 2026-04-04T12:04:28Z Abdeljalil Gattal Chawki Djeddi Imran Siddiqi Youcef Chibani http://hdl.handle.net/123456789/7767 2018-11-29T13:41:04Z 2018-01-01T00:00:00Z

Gender classification from offline multi-script handwriting images using oriented Basic Image Features (oBIFs) Abdeljalil Gattal; Chawki Djeddi; Imran Siddiqi; Youcef Chibani Classification of gender from images of handwriting is an interesting research problem in computerized analysis of handwriting. The correlation between handwriting and gender of writer can be exploited to develop intelligent systems to facilitate forensic experts, document examiners, paleographers, psycholo- gists and neurologists. We propose a handwriting based gender recognition system that exploits texture as the discriminative attribute between male and female handwriting. The textural information in hand- writing is captured using combinations of different configurations of oriented Basic Image Features (oB- IFs). oBIFs histograms and oBIFs columns histograms extracted from writing samples of male and female handwriting are used to train a Support Vector Machine classifier (SVM). The system is evaluated on three subsets of the QUWI database of Arabic and English writing samples using the experimental protocols of the ICDAR 2013, ICDAR 2015 and ICFHR 2016 gender classification competitions reporting classification rates of 71%, 76% and 68% respectively; outperforming the participating systems of these competitions. While textural measures like local binary patterns, histogram of oriented gradients and Gabor filters etc. have remained a popular choice for many expert systems targeting recognition problems, the present study demonstrates the effectiveness of relatively less investigated oBIFs as a robust textual descriptor.

2018-01-01T00:00:00Z Kashif Naseer Qureshi Abdul Hanan Abdullah Faisal Bashir Saleem Iqbal Khalid Mahmood Awan http://hdl.handle.net/123456789/7766 2018-11-29T13:38:17Z 2018-01-01T00:00:00Z

Cluster‐based data dissemination, cluster head formation under sparse, and dense traffic conditions for vehicular ad hoc networks Kashif Naseer Qureshi; Abdul Hanan Abdullah; Faisal Bashir; Saleem Iqbal; Khalid Mahmood Awan Information and communication technologies have changed the way of operations in all fields. These technologies also have adopted for wireless communication and provide low cost and convenient solutions. Vehicular ad hoc networks are envisioned with their special and unique intercommunication systems to provide safety in intelligent transportation systems and support largesize networks. Due to dense and sparse traffic conditions, routing is always a challenging task to establish reliable and effective communication among vehicle nodes in the highly transportable environment. Several types of routing protocols have been proposed to handle high mobility and dynamic topologies including topology‐based routing, position and geocast routing, and clusterbased routing protocols. Cluster‐based routing is one of the feasible solutions for vehicular networks due to its manageable and more viable nature. In cluster‐ based protocols, the network is divided into many clusters and each cluster selects a cluster head for data dissemination. In this study, we investigate the current routing challenges and trend of cluster‐based routing protocols. In addition, we also proposed a Cluster‐based Routing for Sparse and Dense Networks to handle dynamic topologies, the high‐mobility of vehicle nodes. Simulation results show a significant performance improvement of the proposed protocol

2018-01-01T00:00:00Z D.C. Lu U. Farooq T. Hayat M.M. Rashidi M. Ramzan http://hdl.handle.net/123456789/7768 2018-11-29T13:48:16Z 2018-01-01T00:00:00Z

Computational analysis of three layer fluid model including a nanomaterial layer D.C. Lu; U. Farooq; T. Hayat; M.M. Rashidi; M. Ramzan Multi-layer flows regime occurs in many industrial processes such as petroleum and chemical industry, therefore the study of multi-layer flow in the presence of nanoparticles can be used to obtain desired qualities. This article investigates a vertical three-layer fluid model which incorporates two clear fluid layers and a nanofluid layer which is squeezed between them. A fully developed laminar, incompressible flow field is considered including viscous dissipation effects. The present framework is formulated by capitalizing Buongiorno model which integrate the combined effects of thermophoresis and Brownian motion. The set of ordinary differential equations (ODEs) are non-dimensionalized under appropriate transformations and a nonlinear differential system is than solved by BVPh2.0 solver which is based on an analytical technique named as homotopy analysis method (HAM). Based on the average squared residual error, a procedure for the highly accurate approximation is developed in BVPh2.0. For generalized set of physical parameters it is demonstrated that our obtained solutions are convergent. The influences of governing parameters on the temperature, flow and concentration are analyzed. The result shows a reversed flow for higher values of mixed convection parameter. Furthermore the flow and temperature characteristics at the interface for thermophoresis and Brownian motion parameters are examined numerically.

2018-01-01T00:00:00Z Zulfiqar Ali Shagufta Henna Saif ul Islam Adnan Akhunzada http://hdl.handle.net/123456789/7765 2018-11-29T13:34:44Z 2018-01-01T00:00:00Z

Evaluation of Propagation Path Delay Using 3D Scattered Model in LoRaWAN Zulfiqar Ali; Shagufta Henna; Saif ul Islam; Adnan Akhunzada Low PowerWide Area Network (LPWAN) aims to realize nation-wide, low power connectivity solutions for the Internet of Things (IoTs). Given propagation characteristics of the underlying channel, the largescale path loss caused by free space path loss and shadowing may adversely affect the quality of received signal strength. Moreover, path loss due to multi-path propagation may also cause rapid fluctuations to the quality of received signal strength. A change in angle of interest is related with a significant effect on propagation path delay (PPD) in a wireless environment. The 3D semi-ellipsoid and scattered regions may also severely affect the propagation path delay. The paper presents different propagation considerations for the design of LoRa physical layer. The paper largely contributes by investigating the propagation path delay experienced by LoRaWAN under 3D semi-ellipsoid model. Finally, in an effort to anticipate potential deployments, the rigorous analysis and experimental evaluation results present promising research directions for the LoRaWAN network.

2018-01-01T00:00:00Z