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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

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. Source

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

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. Source

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

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. Source

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

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. Source

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

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 Source

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