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Search Results: 1 - 10 of 486 matches for " Mukesh Tanwar "
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Axenfeld-Rieger Syndrome Associated with Congenital Glaucoma and Cytochrome P4501B1 Gene Mutations
Mukesh Tanwar,Tanuj Dada,Rima Dada
Case Reports in Medicine , 2010, DOI: 10.1155/2010/212656
Abstract: Developmental anomalies of the ocular anterior chamber angle may lead to an incomplete development of the structures that form the conventional aqueous outflow pathway. Thus, disorders that present with such dysfunction tend to be associated with glaucoma. Among them, Axenfeld-Rieger (ARS) malformation is a rare clinical entity with an estimated prevalence of one in every 200,000 individuals. The changes in eye morphogenesis in ARS are highly penetrant and are associated with 50% risk of development of glaucoma. Mutations in the cytochrome P4501B1 (CYP1B1) gene have been reported to be associated with primary congenital glaucoma and other forms of glaucoma and mutations in pituitary homeobox 2 (PITX2) gene have been identified in ARS in various studies. This case was negative for PITX2 mutations and compound heterozygote for CYP1B1 mutations. Clinical manifestations of this patient include bilateral elevated intraocular pressure (>40 mmHg) with increased corneal diameter (>14 mm) and corneal opacity. Patient also had iridocorneal adhesions, anteriorly displaced Schwalbe line, anterior insertion of iris, broad nasal bridge and protruding umbilicus. This is the first study from north India reporting CYP1B1 mutations in Axenfeld-Rieger syndrome with bilateral buphthalmos and early onset glaucoma. Result of this study supports the role of CYP1B1 as a causative gene in ASD disorders and its role in oculogenesis.
Cytogenetic and Clinical Assessment of a Family with Treacher Collins Syndrome
Manoj Kumar,Rakesh Kumar,Mukesh Tanwar,Supriyo Ghose,Jasbir Kaur,Rima Dada
Case Reports in Medicine , 2011, DOI: 10.1155/2011/708450
Abstract: Treacher Collins syndrome (TCS) is a rare autosomal dominant disorder characterized by craniofacial deformities. It is the most common type of mandibulofacial dysostosis (MFD). The objective of this study is to do cytogenetic analysis of a TCS family. Physical examination and all available medical records were reviewed. 50 GTG-banded metaphases were analysed to detect any structural or numerical chromosomal abnormality. Downward slanting of palpebral fissures, hypoplasia of zygomatic arch complex, and hypoplasia of mandible were present in all. Cytogenetic findings show interstitial deletion in chromosomes 5(q32-q33) and 3(q23–q25). We report four members of three generations of a family having TCS in a unique way that the deletion has been found in 3q and 5q which has not been reported. Mosaicism of deletion on 5q was detected in all affected members whereas 3q deletion was found only in one member (II.2). This finding may represent a more severe manifestation of the TCS. Thus the evaluation and counselling of the TCS patients should be undertaken with caution.
An Effective Knowledge base system Architecture and issues in representation techniques
Poonam Tanwar
International Journal of Advancements in Technology , 2011,
Abstract: The research in AI is divided in to two categories Knowledge representation and general. For making the computer or Machine as intelligent as human being we require two things Knowledge representation and inference mechanism. Development of an AI system is a crucial task because some time we have incomplete information and it can be ambiguous and uncertain. So solution to these problems is to build a knowledge effective knowledge base and an effective inference mechanism. The objective of this paper is to present the knowledge base system architecture/model for intelligent system and to present the issues in various hybrid KR techniques.
MDS and Trilateration Based Localization in Wireless Sensor Network  [PDF]
Shailaja Patil, Mukesh Zaveri
Wireless Sensor Network (WSN) , 2011, DOI: 10.4236/wsn.2011.36023
Abstract: Localization of sensor nodes is crucial in Wireless Sensor Network because of applications like surveillance, tracking, navigation etc. Various optimization techniques for localization have been proposed in literature by different researchers. In this paper, we propose a two phase hybrid approach for localization using Multidi- mensional Scaling and trilateration, namely, MDS with refinement using trilateration. Trilateration refines the estimated locations obtained by the MDS algorithm and hence acts as a post optimizer which improves the accuracy of the estimated positions of sensor nodes. Through extensive simulations, we have shown that the proposed algorithm is more robust to noise than previous approaches and provides higher accuracy for estimating the positions of sensor nodes.
Banach Λ-Frames for Operator Spaces  [PDF]
Mukesh Singh, Renu Chugh
Advances in Pure Mathematics (APM) , 2014, DOI: 10.4236/apm.2014.48048
Abstract:

The Banach frame for a Banach space X can reconstruct each vector in X by the pre-frame operator or the reconstruction operator. The Banach Λ-frame for operator spaces was introduced by Kaushik, Vashisht and Khattar [Reconstruction Property and Frames in Banach Spaces, Palestine Journal of Mathematics, 3(1), 2014, 11-26]. In this paper we give necessary and sufficient conditions for the existence of the Banach Λ-frames. A Paley-Wiener type stability theorem for Λ-Banach frames is discussed.

K-Means Graph Database Clustering and Matching for Fingerprint Recognition  [PDF]
Vaishali Pawar, Mukesh Zaveri
Intelligent Information Management (IIM) , 2015, DOI: 10.4236/iim.2015.74019
Abstract: The graph can contain huge amount of data. It is heavily used for pattern recognition and matching tasks like symbol recognition, information retrieval, data mining etc. In all these applications, the objects or underlying data are represented in the form of graph and graph based matching is performed. The conventional algorithms of graph matching have higher complexity. This is because the most of the applications have large number of sub graphs and the matching of these sub graphs becomes computationally expensive. In this paper, we propose a graph based novel algorithm for fingerprint recognition. In our work we perform graph based clustering which reduces the computational complexity heavily. In our algorithm, we exploit structural features of the fingerprint for K-means clustering of the database. The proposed algorithm is evaluated using realtime fingerprint database and the simulation results show that our algorithm outperforms the existing algorithm for the same task.
Granulocyte colony-stimulating factor as a novel adjunct to improve hepatitis B vaccination
Sudeep Tanwar, Mark Thursz
World Journal of Hepatology , 2010,
Abstract: Hepatitis B vaccination is successful in 95% of individuals. In the remainder, despite repeated attempts, immunization often remains unsuccessful. 'Non-response' leaves the individual susceptible to infection. Various strategies have been employed to overcome this. These include the use of adjuncts alongside conventional vaccines which activate immune responses. In this case report we demonstrate the successful use of the hematopoietic growth factor Granulocyte colony-stimulating factor (G-CSF) as a vaccine adjunct in an individual who had previously failed conventional vaccination three times. The patient tolerated the regimen without any side effects and achieved a hepatitis B surface antibody titer greater than 100 IU/L. Use of G-CSF as a vaccine adjunct for hepatitis B has not previously been reported and the outcome in this case suggests that the use of G-CSF in this context warrants further exploration.
Fuzzy Inspired Hybrid Genetic Approach to Optimize Travelling Salesman Problem
Bindu,Pinki Tanwar
International Journal of Computer Science and Communication Networks , 2012,
Abstract: One of the category of algorithm Problems are basically exponential problems. These problems are basically exponential problems and take time to find the solution. In the present work we are optimising one of the common NP complete problem called Travelling Salesman Problem. In our work we have defined a genetic approach by combining fuzzy approach along with genetics. In this work we have implemented the modified DPX crossover to improve genetic approach. The work is implemented in MATLAB environment and obtained results shows the define approach has optimized the existing genetic algorithm results
Removal of cyclic prefix in Adaptive Non-Contiguous OFDM for Dynamic Spectrum Access using DWT and WT
Saket kumar,Puspraj Tanwar
International Journal of Advanced Computer Research , 2012,
Abstract: Spectrum has valuable resource in wirelesscommunication. In wireless communication somespectrum is waste due to uses of cyclic prefix (cp) inFFT multicarrier sampling. In place of FFT usedDFT and wavelet transform function for removal ofcyclic prefix. Wavelet based OFDM, particularlyusing DWT and WPT-OFDM as situations forFourier- based OFDM with the focus on impulsenoise effects. We begin by constructing the modelsof the inverse and forward transforms. We explainin detail each model and study the BERperformance in two scenarios when varying thePoisson recurrence parameter a from small to large.The wavelet based SOFDM (DWT-SOFDM andWPT-SOFDM) are assumed to have other normalbases and perfect reconstruction properties. Resultsshow that a large values of limits the impact ofimpulsive noise on the system. We also found thatthe WPT-SOFDM platform is superior in BER toothers.
Reduction of Co-Channel Interference in transmit/Receive diversity (TRD) in MIMO System
Manisha Rathore,Puspraj Tanwar
International Journal of Advanced Computer Research , 2012,
Abstract: In this paper we proposed a novel technique for co-channel interference reduction for multiple input/multiple-output systems for channel fading with different diversity scheme. Our technique basically an adaptive variation of diversity scheme and reduced the ratio of outage probability of power of signal. Our analysis generalizes prior work in that we place no restrictions on the number or power of the interferers, or on the number of antennas at the transmitter and receiver. Our results indicate that, for adaptive interference power, system performance degrades when there are dominant interferers. In addition, for an adaptive of transmit and receive antennas, outage probability and average bit error rate decrease when the transmitter and receiver have the same number of antennas.
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