Rayat and Bahra Institute of Engineering and Bio Technology

Sahauran, India

Rayat and Bahra Institute of Engineering and Bio Technology

Sahauran, India
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Shri A.,Rayat Institute of Engineering and Information technology | Sandhu P.S.,Rayat and Bahra Institute of Engineering and Bio Technology | Gupta V.,RIEIT | Anand S.,Cec Inc.
World Academy of Science, Engineering and Technology | Year: 2010

In literature, there are metrics for identifying the quality of reusable components but the framework that makes use of these metrics to precisely predict reusability of software components is still need to be worked out. These reusability metrics if identified in the design phase or even in the coding phase can help us to reduce the rework by improving quality of reuse of the software component and hence improve the productivity due to probabilistic increase in the reuse level. As CK metric suit is most widely used metrics for extraction of structural features of an object oriented (OO) software; So, in this study, tuned CK metric suit i.e. WMC, DIT, NOC, CBO and LCOM, is used to obtain the structural analysis of OO-based software components. An algorithm has been proposed in which the inputs can be given to K-Means Clustering system in form of tuned values of the OO software component and decision tree is formed for the 10-fold cross validation of data to evaluate the in terms of linguistic reusability value of the component. The developed reusability model has produced high precision results as desired.


Dhaliwal D.S.,RIMIT Institute of Engineering and Technology | Sandhu P.S.,Rayat and Bahra Institute of Engineering and Bio Technology | Panda S.N.,Regional Institute of Management and Technology
World Academy of Science, Engineering and Technology | Year: 2011

In this paper, an enhancement of the k-Nearest Neighbor (k-NN) algorithm is proposed by incorporating min-max normalization of data as the initial stage before classification via the conventional k-NN algorithm and outlier removal as the final step. Under the proposed method, raw data is first normalized and the outlyingness factor (Oi) for each observation computed. A threshold value of 1.0 is used to detect outliers and observations with O1<1.0 fed for clustering by the k-NN method. In this study, the training set consisted of biological data derived from the Munich Information Center for Protein Sequences (MIPS) database. The algorithm was implemented in the PHP: hypertext preprocessor (PHP) scripting language. The data used was stored in a database implemented using MySQL using the Windows platform. The user interface for the application was constructed using advanced html using the Notepad text editor and linked to the backend using the PHP language. Using a dataset of 200 observations and a K parameter of 10, the outcomes obtained via the enhanced method were compared to those obtained via the conventional k-NN method. Comparisons of the results were made using the rand index. Results indicate that, compared to the naïve k-NN method, the enhanced method returns significantly improved performance.


Sandhu P.S.,Rayat and Bahra Institute of Engineering and Bio Technology | Dhaliwal D.S.,RIMIT Institute of Engineering and Technology | Panda S.N.,Regional Institute of Management and Technology
International Journal of Physical Sciences | Year: 2011

Association rule mining has been an area of active research in the field of knowledge discovery and numerous algorithms have been developed to this end. Of late, data mining researchers have improved upon the quality of association rule mining for business development by incorporating the influential factors like value (utility), quantity of items sold (weight) and more, for the mining of association patterns. In this paper, we propose an efficient approach based on weight factor and utility for effectual mining of significant association rules. Initially, the proposed approach makes use of the traditional Apriori algorithm to generate a set of association rules from a database. The proposed approach exploits the anti-monotone property of the Apriori algorithm, which states that for a k-itemset to be frequent all (k-1) subsets of this itemset also have to be frequent. Subsequently, the set of association rules mined are subjected to weightage (W-gain) and utility (U-gain) constraints, and for every association rule mined, a combined utility weighted score (UW-Score) is computed. Ultimately, we determine a subset of valuable association rules based on the UW-Score computed. The experimental results demonstrate the effectiveness of the proposed approach in generating high utility association rules that can be lucratively applied for business development. © 2011 Academic Journals.


Singh P.,University of Punjab | Sharma S.,Thapar University | Sandhu P.S.,Rayat and Bahra Institute of Engineering and Bio Technology
World Academy of Science, Engineering and Technology | Year: 2011

This work aims to reduce the read power consumption as well as to enhance the stability of the SRAM cell during the read operation. A new 10-transisor cell is proposed with a new read scheme to minimize the power consumption within the memory core. It has separate read and write ports, thus cell read stability is significantly improved. A 16Kb SRAM macro operating at 1V supply voltage is demonstrated in 65 nm CMOS process. Its read power consumption is reduced to 24% of the conventional design. The new cell also has lower leakage current due to its special bit-line pre-charge scheme. As a result, it is suitable for low-power mobile applications where power supply is restricted by the battery.


Kaur M.,Rayat and Bahra Institute of Engineering and Bio Technology | Gupta S.,Rayat Institute Of Engg And Information Technology | Sandhu P.S.,Rayat and Bahra Institute of Engineering and Bio Technology | Kaur J.,Cec Inc.
World Academy of Science, Engineering and Technology | Year: 2010

Steganography meaning covered writing. Steganography includes the concealment of information within computer files [1]. In other words, it is the Secret communication by hiding the existence of message. In this paper, we will refer to cover image, to indicate the images that do not yet contain a secret message, while we will refer to stego images, to indicate an image with an embedded secret message. Moreover, we will refer to the secret message as stego-message or hidden message. In this paper, we proposed a technique called RGB intensity based steganography model as RGB model is the technique used in this field to hide the data. The methods used here are based on the manipulation of the least significant bits of pixel values [3][4] or the rearrangement of colors to create least significant bit or parity bit patterns, which correspond to the message being hidden. The proposed technique attempts to overcome the problem of the sequential fashion and the use of stego-key to select the pixels.


Ardil E.,Fatih University | Sandhu P.S.,Rayat and Bahra Institute of Engineering and Bio Technology
International Journal of Physical Sciences | Year: 2010

As the majority of faults are found in a few of its modules so there is a need to investigate the modules that are affected severely as compared to other modules and proper maintenance need to be done in time especially for the critical applications. In this present work, hybrid fuzzy-Genetic Algorithm and Particle Swarm Optimization trained Neural Network techniques are empirically evaluated and earlier published results of the Mamdani Based Fuzzy Inference System and Neuro-Fuzzy Based techniques are also discussed for the comparative analysis in order to predict level of impact of faults in NASA's public domain defect dataset coded in Perl programming language. The results are recorded in terms of accuracy, mean absolute error (MAE) and root mean squared error (RMSE). The results of Neuro-Fuzzy model are also convincing but Fuzzy-GA based hybrid model provide relatively better prediction accuracy as compared to other models and hence, it is proposed for the maintenance severity prediction of the software systems. © 2010 Academic Journals.


Sharda A.,Rayat and Bahra Institute of Engineering and Bio Technology | Kumar S.,National Institute of Technology Kurukshetra
Science and Technology for the Built Environment | Year: 2015

This article applies the Taguchi design on a simulation as well as on an experimentation technique to determine the thermal transmittance (U-value) of a double-glazed window with inter-panes blinds so as to explore its performance potential for a particular Indian climate. Environmental parameters are selected per the composite climate in India. Simulated results show a maximum of 20% variation when compared with experimental ones. Analysis of results shows that Taguchi methods are effective in ranking the effect of various parameters on the U-value of identified glazing units. The low-emissivity glazing system ranks first, followed by slat angle, temperature difference, pane spacing, and temperature of hotplate (representing climatic conditions). The analysis of means is also carried out to identify the best combination of levels of various parameters. ©2015 ASHRAE.


Sharda A.,Rayat and Bahra Institute of Engineering and Bio Technology | Kumar S.,National Institute of Technology Kurukshetra
International Journal of Ambient Energy | Year: 2014

This paper statistically evaluates the simulated U-values from WINDOW 6 software and those determined from guarded heater plate apparatus for double glazed window with inter-pane blinds, so as to explore its performance potential as per composite climate in India. The simulation results are statistically validated by calculating a linear regression followed by ANOVA (analysis of variance) to judge the fit of the model. An R2 value of 0.88 for the regression equation asserted a satisfactory agreement of simulated results with experimental ones. Optimum levels for control parameters are predicted on the basis of analyses of Signal/noise, that is, S/N ratio. ANOVA is once again carried out for both simulated and experimental results separately, to quantify the contributions of important parameters in estimating the U-value. The lowest percentage contribution of outside temperature (0.24%) in influencing the U-value of identified glazing system establishes its credibility for usage in composite Indian climate. © 2014 Taylor & Francis


Sharda A.,Rayat and Bahra Institute of Engineering and Bio Technology | Kumar S.,National Institute of Technology Kurukshetra
Energy Efficiency | Year: 2015

In this research article, Taguchi L18 orthogonal array has been employed on guarded heat plate apparatus to determine ‘unit heat loss rate’ (U value) of a double-glazed window with inter-pane venetian blinds by varying processes and glazing system’s parameters, i.e. temperature difference between hot and cold plates, low-emissivity (low-e) coating and its location, slat angle of blinds, pane spacing and hot plate temperature (selected as per composite climate in India). The analyses of the raw data and signal-to-noise (S/N) ratio of the response parameters have been performed using analysis of variance (ANOVA). The insignificance of temperature of hot plate has been reiterated. The optimum parameters predicted on the basis of analyses of S/N ratio (pooled ANOVA) are (a) temperature difference of 10 °C, (b) presence of low-e coating on inner surface of outside pane, (c) slat angle of 90° and (d) pane spacing of 32 mm. The quantification of the influence of various parameters on U value has been done through prediction of percentage contribution. The significant parameters in order of their decreasing percentage contribution are presence of low-e coating (49.2 %), slat angle (32.52 %), temperature difference between hot and cold plates (8.76 %) and pane spacing (4.33 %), respectively. © 2015 Springer Science+Business Media Dordrecht


Kumar V.,Rayat and Bahra Institute of Engineering and Bio Technology | Gakkhar R.P.,Indian Institute of Technology Roorkee
Proceedings of the Spring Technical Conference of the ASME Internal Combustion Engine Division | Year: 2012

Experimental investigation was carried out in order to optimize the performance of a small high speed direct injection diesel engine running on Jatropha methyl ester (JME), using Taguchi methods. In the investigation three controlled parameters - injection timing, load and speed were varied at three levels and their effect on the engine output responses-engine noise, combustion noise, smoke, NOx, HC emissions and brake specific fuel consumption were studied. Taguchi method was found to be efficient for investigating the effect of speed, load and injection timing on the engine noise, emissions and fuel economy. Analysis of variance (ANOVA) was used to find out the percentage contributions of the controlled parameters on the engine output responses. To optimize the performance, optimum combinations of the controlled parameters were found using the signal to noise (S/N) ratio. The engine output responses were predicted at those combinations. Further, confirmation runs were carried out which showed good agreement with the predicted engine output responses. Copyright © 2012 by ASME.

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