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New Delhi, India

Ahmad M.W.,JMI | Ansari M.A.,University of Sao Paulo
Proceedings - 12th International Conference on Computational Science and Its Applications, ICCSA 2012 | Year: 2012

this paper provides an in-depth survey of challenges in the design of intelligent information retrieval systems, pointing out some similarities and differences in the core data mining and web based search operations. The procedures for evaluation of search engine performance and implicit feedback of the user with respect to a search result are studied with references to the different algorithms. We have proposed a novel neural satisfaction based feedback vector in contrast to the existing activity pattern based feedback as a future research direction in Intelligent IR. We addressed the select research work in the area of soft information retrieval using fuzzy sets, artificial neural networks, genetic algorithms and probabilistic information retrieval. As an instance of information retrieval, web mining is a set of operations to retrieve relevant documents from preprocessed, crawled and indexed web, and it can be categorized into more specialized tasks of web content mining, web structure mining and web usage mining. We have given a survey of the important reviews on topic of web mining and its associated tasks. On the basis of Identified challenges in information retrieval in general, and web mining in particular, we have concentrated on applicability of soft computing techniques and their hybrids in web mining, the performance related issues of select solutions, future of web mining and the next generation user's expectations from a search engine. © 2012 IEEE.

Khan A.A.,JMI | Mehrotra I.,Indian Institute of Technology Roorkee | Kazmi A.A.,Indian Institute of Technology Roorkee
Biosystems Engineering | Year: 2015

An up-flow anaerobic sludge blanket (UASB) process was investigated for the treatment of domestic wastewater using a 60l pilot scale reactor. The treatment performance was analysed at 8h hydraulic retention time under ambient condition (8-40°C). Biochemical oxygen demand (BOD), chemical oxygen demand (COD) and total suspended solids (TSS) were used to evaluate the performance of organic matter and suspended solids removal. Specific methanogenic activity and solids concentration along the sludge bed height were determined to evaluate sludge quality. An average of 65-85% BOD, COD and TSS removal were achieved under different organic loadings 0.57-6.35kg[COD]m-3d-1. The removal of organic matter showed a linear correlation with organic loads. The methanogenic activity decreased at lower organic loads. In addition, at low organic loads, high variations in COD reduction and low gas production were observed. © 2015 IAgrE.

Murshid A.M.,JMI | Murshid A.M.,University of Kirkuk | Loan S.A.,Jamia Millia Islamia University | Abbasi S.A.,King Saud University | Alamoud A.R.M.,King Saud University
International Journal of Fuzzy Systems | Year: 2012

The limited applications of fuzzy logic in engineering are attributed to low computational performance of fuzzy processors. Fuzzy processors are generally unsuitable to applications which demand quick output. The speed bottleneck of these processors lies in the calculation of matching degree (MD) between the fuzzified input and the antecedent MF in inference processing. The MD calculation always needs very high latency and limits the overall inference performance. In this work, a novel VLSI architecture of a MAX-MIN circuit, for calculating the MD between the triangular shaped fuzzified input and the antecedent memberships has been proposed. The architecture developed is area, power and speed efficient in comparison to existing architectures using trapezoid and Gaussian shaped membership functions (MF). This can be attributed to the significant reduction in the number of multiplexing and subtracting operations in the proposed architecture. The FPGA implementation report has revealed that the proposed MAX-MIN calculator circuit consumes 69.2% reduced number of slice latches, 23% reduced number of input-output buffers (IOB) and the average fan-out has increased by 1.5% in comparison to a Trapezoid MF based MAX-MIN calculator circuit. Further, based on the proposed architecture of MAX-MIN calculator, novel architectures of fuzzy decoder, fuzzy inferencing system, defuzzifier and a complete fuzzy inference processor have been designed and developed. These architectures have been implemented in XILINX and Vertex field programmable gate arrays (FPGA). It has been observed that the proposed triangular MF based fuzzy inference processor is area and speed efficient, as it consumes 2% reduced number of 4 input look-up tables (LUT), 23% reduced number of bonded IOBs, 66.6% reduced number of global clock buffers (BUFG) and has 3.48% increase in fan-out in comparison to a Trapezoid MF based fuzzy processor. © 2012 TFSA.

Loan S.A.,JMI | Kumar S.,JMI | Alamoud A.M.,King Saud University
Superlattices and Microstructures | Year: 2016

In this work, we propose and simulate a novel structure of a double gate metal source/drain (MSD) Schottky MOSFET. The novelty of the proposed device is that it realizes a complete CMOS inverter action, which is actually being realized by the combination of two n and p type MOS transistors in the conventional CMOS technology. Therefore, the use of this device will significantly reduce the transistor count in implementing combinational and sequential circuits. Further, there is a significant reduction in the number of junctions and regions in the proposed device in comparison to the conventional CMOS inverter. Therefore, the proposed device is compact and can consume less power. The proposed device has been named as Sajad-Sunil-Schottky (SSS) device. The mixed mode circuit analysis of the proposed SSS device has shown that a CMOS inverter action with high logic level (VOH) and low logic level (VOL) as ∼VDD and ∼ground respectively. A two dimensional calibrated simulation study using the experimental data has revealed that the proposed SSS device in n and p type modes have subthreshold slopes (S) of 130 mV/decade and 85 mV/decade respectively and have reasonable high ION and ION/IOFF ratio's. Furthermore, it has been proved that such a device action cannot be realised by folding the conventional doped n and p MOS transistors. © 2015 Elsevier Ltd. All rights reserved.

Lokesh K.,JMI | Jain P.K.,Indian Institute of Technology Roorkee
International Journal of Simulation Modelling | Year: 2010

This work presents an algorithm for design of cellular manufacturing system. It considers sequence of operation for every component as ordinal level data. The ratio level data includes operation time per unit, production volume and machine capacity. A matrix model is developed to incorporate ordinal level data and ratio level data. Model is then standardized. From this, Part - Part correlation model is formed. This is undergone through principle component analysis. Now, Feature-Vector and New Standardized Sequence Part Load matrices are formed. These are used for grouping purpose. Part-machine orthographic view is used for concurrent part-machine family formation. Performance of algorithm is comparable and of good quality with existing methods in its class. To facilitate industrial application, it can be implemented by using free software, Scilab and/or commercial softwares.

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