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Chandigarh, India

Himani,Global Institute of Management and Emerging Technologies | Sidhu H.S.,Chandigarh Group of Colleges
Proceedings - 2015 2nd IEEE International Conference on Advances in Computing and Communication Engineering, ICACCE 2015 | Year: 2015

Cloud computing is a nascent technology which widely spreads among researchers. It provide users with infrastructure, platform and software as amenity which is effortlessly accessible via Internet. In cloud computing, there are numerous tasks needs to be executed by the existing resources to attain best performance, shortest response time, minimal total time for completion, achieve deadline, utilization of resources etc. Scheduling is a complicated task in cloud computing environment where the aim is to schedule the tasks effectively so as to reduce the turnaround time and improve overall performance. Due to these dissimilar objectives, we need to design, develop a noble scheduling strategy to outperform proper division of tasks on virtual machines. Recently existing scheduling algorithm may work proficiently in some perspective. But they are unable to achieve deadline of task and attain maximum profit. In this paper, new mechanism is proposed which take care of deadline and cost, then scheduled the task according to need. Based on the concept of space-shared scheduling policy, this work presents Cost-deadline Based (CDB) task scheduling algorithm to schedule tasks with Cloud-sim by taking into account several parameters including task profit, task penalty, throughput, provider profit, user loss. © 2015 IEEE.

Kaur H.,Punjab Technical University | Talwar R.,Chandigarh Group of Colleges
Proceedings - 2013 International Conference on Emerging Trends in Communication, Control, Signal Processing and Computing Applications, IEEE-C2SPCA 2013 | Year: 2013

The purpose of adaptive filter is to solve the dilemma of fast convergence rate and low mean square error. In the past two decades many adaptive filter algorithms have been presented and have claimed that they have good convergence speed and tracking properties. This paper describes the concept of adaptive noise cancellation, an alternative method of estimating signals corrupted by additive noise or interference. This paper summarizes three promising algorithms and gives a performance comparision via extensive simulation. Step size is the main parameter for the convergence rate and mean square error. The simulation analysis showed that RLS algorithm had faster convergence speed and smaller steady state error compared with basic LMS algorithm.The results shown, for convergence rate with less no of taps is the most difficult phase in signal processing applications for the perfect working of any system. © 2013 IEEE.

Bedi P.S.,Chandigarh Group of Colleges | Priyanka S.,SBSPGI
Asian Journal of Pharmaceutical and Clinical Research | Year: 2012

In present study the antitoxic activity of garlic was studied in Wistar albino rats. The experimental animals were divided in to four groups each containing six animals. Group I served as normal control. All the other three groups, viz. II, III and IV were first challenged with 7-12 Dimethyl benzanthracene (DMBA). ThereforeWhereas, group III and IV received Indole-3-Carbinol (1μg/kg) and garlic @ 300mg/kg body weight respectively, for four weeks. Group II however received no intervention. After four weeks, all the animals were sacrificed and the effects of the Indole-3-Carbinol and garlic were monitored by assaying the levels of lipid peroxidation (MDA), Superoxide dismutase (SOD) and Catalase (CAT) in liver and kidney homogenates. In addition Serum glutamate Oxaloacetate Transaminase (SGOT), Serum glutamate Pyruvate Transaminase (SGPT), Alkaline phosphatase (ALP), Urea and Creatinine were also studied. The results showed that the difference in total body weight gain was not significant among all the groups. Body weight in group II was find to be reduced than the body weight on zero day. There was significant decrease in SOD and CAT, but significant increase in MDA in both the tissue homogenates. The levels of AST, ALT, ALP, Creatinine and Urea were significantly increased in group II. Reversal effects of DMBA were shown by group IV but they were lower than group III. Cyst formation in liver was observed in group II rats only. Enlargement and paleness of liver was maximum in group II as compared to other treated groups.

Talwar R.,Chandigarh Group of Colleges
International Review on Computers and Software | Year: 2014

Application of threshold based techniques to wavelet transformed speech signals can act as the noise suppression algorithm. There are types of wavelets and thresholding algorithms which exist and selection of optimal wavelet and optimal thresholding technique based on the input speech signal is vital for having better noise suppression. Selection of optimal number of decomposition levels is also has an impact on the resultant signal. In this paper, optimal selection of wavelet, level and thresholding technique for noise suppression in speech signals using Cuckoo search is proposed. After finding these, the signal is wavelet transformed andis applied proposed adaptive coefficient process which is then done thresholding. Subsequently, reconstruction is carried out to have the noise suppressed signal. The implementation is carried out with MATLAB and the evaluation metrics employed are Itakura–Saito distance (IS) and MSE.The results are taken under various noise conditions and compared with existing technique. From the results obtained, IS and MSE values for proposed is far lower than existing technique.Total IS average for proposed was about 0.78×105 compared with 1.3×105 that of existing. Total MSE average for proposed was about 0.22×10-3 compared with 1.25×10-3 that of existing. The results show the effectiveness of the proposed technique. © 2014 Praise Worthy Prize S.r.l. - All rights reserved.

Rathee P.,Punjab Technical University | Kamboj A.,Chandigarh Group of Colleges | Sidhu S.,Punjab Technical University
International Journal of Biological Macromolecules | Year: 2016

Our key objective was an attempt to apply a novel statistical method intended for designing, optimizing and developing Nisoldipine nano-bioenhancers using Taguchi (3 × 3 = L27) design. This quality improvement orthogonal design array (L27) was used as a mathematical tool to find and study the response prediction of independent as well as significant variables (A = poly-concentration; B = bio-enhancer and C = ratio of organic medium). The array orthogonal (3 × 3 = L27) at each level/spaces has been studied with respect to responses changeable (dependent factors); entrapment enhancement (X; evaluated using particle size; Y). All through experimentally performed runs, the results showed independent variables effect individually or simultaneously on changeable (dependent) variables. It also predicted significant variable via its "better to best" optimized spaces (independent level) and would be considered as novel statistically advanced oral drug delivery vehicle for anti-hypertensive agents. © 2016 Elsevier B.V.

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