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Articles by Jaspreet Singh
Total Records ( 3 ) for Jaspreet Singh
  Hardeep Singh Gujral , Mamta Angurala , Paras Sharma and Jaspreet Singh
  Five commonly consumed pulses, Mah (Vigna mungo), Green mung (Vigna radiata), Arhar (Cajanas cajan), Masur (Lens esculantus), and Moth (Vigna aconitifolia), were studied for their total phenolic content and antioxidant activity after germination (12 and 24 h) and pressure cooking. Arhar had the highest total phenolic content (6.71 mg ferulic acid/g flour) whereas Moth had the least (1.54 mg/g). All pulses, except Moth, showed a significant decrease in total phenolic content after germination. The antioxidant activity of the pulses varied from 10.61 to 36.38% (DPPH radical scavenging activity), which significantly decreased with germination in all pulses except Moth. The total phenolic content highly correlated with the antioxidant activity in the pulses. Cooking lowered the total phenolic content by 10−45% and antioxidant activity by 27−68% in the control and germinated pulses.
  Balwinder Singh , Amritpal Kaur and Jaspreet Singh
  Natural exudate gum (sterculia gum) has been successfully used as gelling agent in culture media with an aim to reduce the production cost of tissue culture raised plants. Shoot tips were cultured on agar and sterculia gum gelled media to study the difference in shoot and root regeneration response. Initially, shoot tips were cultured on agar gelled Murashige and Skoog (MS) medium supplemented with different concentrations of 6-Benzyl amino purine (BAP), Kinetin (KN) and Naphthalene acetic acid (NAA). Maximum percentage of cultures showing shoot regeneration (63.19%) was observed on agar gelled MS medium containing BAP 1.5, KN 0.5 and NAA 0.5 mg L-1. Sterculia gum and agar were then evaluated at different concentrations and combinations. The media gelled with sterculia gum was equally transparent as that of liquid medium. The shoot regeneration response on media gelled with 25 and 30 g L-1 sterculia gum were 49.99 and 61.11% respectively. Regenerated shoots were rooted on agar gelled MS medium supplemented with different concentrations of Indole-3-Acetic Acid (IAA), NAA and Indole -3-butyric acid (IBA, 0.5-2.5 mg L-1). Maximum rooting response (56.94%) was observed with IBA 2.0 mg L-1. Same medium when evaluated for rooting response using sterculia gum (30 g L-1) as gelling agent, 56.24% cultures showed root regeneration. The difference in regeneration response obtained with agar (8 g L-1) and sterculia gum (30 g L-1) was statistically insignificant. This study indicates that sterculia gum can be used as alternative gelling agent in place of agar for the development of cost effective micropropagation protocol.
  Jaspreet Singh and Deepali Gupta
  The cloud environment provides a cluster of interconnected virtualized systems which are progressively provisioned and recognized as pooled computing resources. The primary objective of job scheduling in cloud is to accomplish a framework that achieve foremost system throughput. The adequacy of cloud environment is to great extent depends upon the proficiency of its scheduler. The cloud service provider implement a scheduler that designates the optimal job scheduling by effectively distributing and executing cloud user jobs on available resources in such a manner as to limit execution time, reduce energy consumption, overall cost and various other factors that can dominate the performance in cloud environment. So, keeping in mind these performance parameters we analyzed and implemented a smarter multi queue job scheduling algorithm for cloud computing. This algorithm accommodate to virtualization trait of cloud computing, vary from traditional job scheduling algorithms character-concentrate on energy efficiency and maintain optimal resource fairness under the cloud computing. To assess the performance of the proposed algorithm we compared it with efficient multi queue job scheduling technique which is presented by researcher in recent past. Through, the experiments, the smarter multi queue scheduling algorithm has demonstrated that it can intensify the performance by effectively reducing the energy consumption by 41.22%. Finally, the comparative simulations and numeral results of both strategies on different number of user jobs indicates that our recommended smarter MQS approach is much more oriented towards energy saving and to some extent reduce execution time in cloud environment.
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