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Search Results: 1 - 10 of 461915 matches for " Wahid A "
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On Matching Polynomials of a Simple Hexagonal Lattice
S. A. Wahid
Asian Journal of Information Technology , 2012,
Abstract: A recurrence relation is derived for the matching polynomial of a 2 x n hexagonal lattice.Explicit formulae are then obtained for the first ten and the final four coefficients.
Automated Diabetic Retinopathy Detection Using Bag of Words Approach  [PDF]
Monzurul Islam, Anh V. Dinh, Khan A. Wahid
Journal of Biomedical Science and Engineering (JBiSE) , 2017, DOI: 10.4236/jbise.2017.105B010
Imaging and computer vision systems offer the ability to study quantitatively on human physiology. On contrary, manual interpretation requires tremendous amount of work, expertise and excessive processing time. This work presents an algorithm that integrates image processing and machine learning to diagnose diabetic retinopathy from retinal fundus images. This automated method classifies diabetic retinopathy (or absence thereof) based on a dataset collected from some publicly available database such as DRIDB0, DRIDB1, MESSIDOR, STARE and HRF. Our approach utilizes bag of words model with Speeded Up Robust Features and demonstrate classification over 180 fundus images containing lesions (hard exudates, soft exudates, microaneurysms, and haemorrhages) and non-lesions with an accuracy of 94.4%, precision of 94%, recall and f1-score of 94% and AUC of 95%. Thus, the proposed approach presents a path toward precise and automated diabetic retinopathy diagnosis on a massive scale.
Low Cost Design of a Hybrid Architecture of Integer Inverse DCT for H.264, VC-1, AVS, and HEVC
Muhammad Martuza,Khan A. Wahid
VLSI Design , 2012, DOI: 10.1155/2012/242989
Abstract: The paper presents a unified hybrid architecture to compute the integer inverse discrete cosine transform (IDCT) of multiple modern video codecs—AVS, H.264/AVC, VC-1, and HEVC (under development). Based on the symmetric structure of the matrices and the similarity in matrix operation, we develop a generalized “decompose and share” algorithm to compute the IDCT. The algorithm is later applied to four video standards. The hardware-share approach ensures the maximum circuit reuse during the computation. The architecture is designed with only adders and shifters to reduce the hardware cost significantly. The design is implemented on FPGA and later synthesized in CMOS 0.18?um technology. The results meet the requirements of advanced video coding applications. 1. Introduction In recent years, different video applications use different video standards, such as H.264/AVC [1], VC-1 [2], and AVS [3]. To improve the coding efficiency further, recently a joint collaboration team on video coding (JCT-VC) is drafting a next generation video coding standards, known tentatively as high efficient video coding (HEVC or H.265) [4]. The target bit rate is half of that of H.264/AVC. Besides, several other effective techniques are proposed in the draft to reduce the complexity of the encoder such as improved intrapicture coding, and simpler VLC coefficients [5]. As a result of these new features, experts predict that the HEVC will dominate the future multimedia market. In order to meet up the present and future demands of different multimedia applications, it becomes necessary to develop a unified video decoder that can support all popular video standards on a single platform. In recent years, there is a growing interest to develop multistandard inverse transform architectures for advanced multimedia applications. However, most of them do not support AVS, the video codec developed by Chinese government that became the core technology of China Mobile Multimedia Broadcasting (CMMB) [6]. None of the existing works supports the HEVC; thought it is not finalized yet, considering the future prospective of the HEVC [7], it is important to start exploring possible implementation in hardware of the transform unit discussed in the draft. In this paper, we present a new generalized algorithm and its hardwire implementation of an 8 × 8 IDCT architecture. The scheme is based on matrix decomposition with sparse matrices and offset computations. These sparse matrices are derived in a way that can be reused maximum number of times during decoding different inverse matrices. All multipliers
Lossless and Low-Power Image Compressor for Wireless Capsule Endoscopy
Tareq Hasan Khan,Khan A. Wahid
VLSI Design , 2011, DOI: 10.1155/2011/343787
Abstract: We present a lossless and low-complexity image compression algorithm for endoscopic images. The algorithm consists of a static prediction scheme and a combination of golomb-rice and unary encoding. It does not require any buffer memory and is suitable to work with any commercial low-power image sensors that output image pixels in raster-scan fashion. The proposed lossless algorithm has compression ratio of approximately 73% for endoscopic images. Compared to the existing lossless compression standard such as JPEG-LS, the proposed scheme has better compression ratio, lower computational complexity, and lesser memory requirement. The algorithm is implemented in a 0.18?μm CMOS technology and consumes 0.16?mm × 0.16?mm silicon area and 18?μW of power when working at 2 frames per second. 1. Introduction Wireless capsule endoscopy (WCE) [1–4] is a state-of-the-art technology to receive images of human intestine for medical diagnostics. In this technique, the patient ingests a specially designed electronic capsule which has imaging and wireless circuitry embedded inside (as shown in Figure 1). While the capsule travels through the gastrointestinal (GI) tract, it captures images and sends them wirelessly to an outside workstation (i.e., PC), where the images are reconstructed and displayed on a monitor for medical diagnostics. The development of wireless capsule endoscopy has changed video endoscopy of the little intestine into a much invasive and more complete examination. The increasing use of these resources and the comfort and ease with which some of these examinations can be performed makes it likely that wireless capsule video imaging will have a substantial impact on the management of small intestinal disease as well as other parts of the body. The capsule runs on button batteries that need to supply power for about 8–10 hours [1]. In this paper, our focus is on the image compressor in the capsule. Here, we propose an image compression algorithm by exploring the unique properties of endoscopic images. The scheme consists of a simple and static prediction scheme and encoding the error both in golomb-rice [5, 6] and in unary coding. The algorithm is particularly suitable to work with any commercial low-power image sensors [7, 8] that output image pixels in raster scan fashion, eliminating the need of large buffer memory to store the complete image frame. The proposed algorithm has low computational complexity and it is simple to implement. Figure 1: Block diagram of an endoscopic capsule. There have been some works reported on the image compressor of the
Some general classes of comatching graphs
E. J. Farrell,S. A. Wahid
International Journal of Mathematics and Mathematical Sciences , 1987, DOI: 10.1155/s0161171287000619
Abstract: Some sufficient conditions are given for two graphs to have the same matching polynomial (comatching graphs). Several general classes of comatching graphs are given. Also, techniques are discussed for extending certain pairs of comatching graphs to larger pairs of comatching graphs.
On the reconstraction of the matching polynomial and the reconstruction conjecture
E. J. Farrell,S. A. Wahid
International Journal of Mathematics and Mathematical Sciences , 1987, DOI: 10.1155/s016117128700019x
Abstract: Two results are proved. (i) It is shown that the matching polynomial is both node and edge reconstructable. Moreover a practical method of reconstruction is given. (ii) A technique is given for reconstructing a graph from its node-deleted and edge-deleted subgraphs. This settles one part of the Reconstruction Conjecture.
Preparation and evaluation of transdermal drug delivery system of etoricoxib using modified chitosan
Wahid A,Sridhar B,Shivakumar S
Indian Journal of Pharmaceutical Sciences , 2008,
Abstract: In the present investigation chitosan has been chemically modified by treating with two different aldehydes like acetaldehyde and propionaldehyde to form Schiff′s bases. Schiff′s bases of chitosan with acetaldehyde and propionaldehyde were named as polymer A and polymer B, respectively. Fourier Transform Infra Red (FTIR) spectral data have confirmed the reaction carried out on chitosan. Drug free polymeric films of chitosan, chemically modified chitosan and chitosan/hydroxypropylmethylcellulose blend were prepared and evaluated for various physicochemical characters. Further, the films were incorporated with anti-inflammatory drug, etoricoxib using glycerol as plasticizer. The drug loaded films were cross-linked with sodium citrate and studied for permeation characteristics across dialysis membrane and rat skin. All the films were evaluated for bursting strength, swelling index, moisture uptake, thickness uniformity, drug content uniformity, tensile strength, percent elongation at break, percent flatness, water vapour transmission rate and in vitro drug permeation study.
A DVP-Based Bridge Architecture to Randomly Access Pixels of High-Speed Image Sensors
Tareq Hasan Khan,Khan A. Wahid
EURASIP Journal on Embedded Systems , 2011, DOI: 10.1155/2011/270908
Friction and Wear of Polymer Composites Filled by Nano-Particles: A Review  [PDF]
Ayman A. Aly, El-Shafei B. Zeidan, AbdAllah A. Alshennawy, Aly A. El-Masry, Wahid A. Wasel
World Journal of Nano Science and Engineering (WJNSE) , 2012, DOI: 10.4236/wjnse.2012.21006
Abstract: Composites formed by adding nano-scale particles to a polymer matrix results in improving electrical, mechanical, and thermal properties of the composite. Good tribological properties can be obtained for polymers filled with nano-scale fillers compared to that filled with micro-scale particles. The friction and wear resistance of these composites is found to increase with increasing filler concentration. It is also possible to use multi-functional fillers to develop high performance composites which cannot be achieved by using a single filler.
An Efficient Combinatorial-Probabilistic Dual-Fusion Modification of Bernstein’s Polynomial Approximation Operator  [PDF]
Shanaz Ansari Wahid
Applied Mathematics (AM) , 2011, DOI: 10.4236/am.2011.212218
Abstract: The celebrated Weierstrass Approximation Theorem (1885) heralded intermittent interest in polynomial approximation, which continues unabated even as of today. The great Russian mathematician Bernstein, in 1912, not only provided an interesting proof of the Weierstrass’ theorem, but also displayed a sequence of the polynomials which approximate the given function . An efficient ‘Combinatorial-Probabilistic Dual-Fusion’ version of the modification of Bernstein’s Polynomial Operator is proposed. The potential of the aforesaid improvement is tried to be brought forth and illustrated through an empirical study, for which the function is assumed to be known in the sense of simulation.
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