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Articles by K. Singh
Total Records ( 6 ) for K. Singh
  G. R. Ling , K. Singh , S. Y. Wong and V. K. L. Toh
  Not available
  S. Angra , S. Kaur , K. Singh , D. Pathania , N. Kaur , S. Sharma and H. Nayyar
  The objective of the present study was to elucidate the metabolic bases of sensitivity of soybean genotypes during seed filling to water stress that are otherwise least understood. Here, two contrasting soybean genotypes Pb1 (stress-tolerant) and Bragg (stress-sensitive) were water stressed by holding 50% of the water compared to controls for 10 days during the onset of seed filling stage (R5 stage). These genotypes were assessed for profiles of osmolytes and antioxidants during the course of water stress in the leaves. While, both the genotypes did not differ much till 4th or 6th day of stress, the differences appeared thereafter and were prominent at 10 day (last day) of stress. In general, Pb1 genotypes experienced lesser extent of stress injury and retained greater amount of water. This was associated with higher accumulation of sucrose, free amino acids, soluble proteins and proline by this genotype as compared to Bragg, which accumulated greater content of reducing sugars. The oxidative damage as lipid peroxidation was similar in both the genotypes but Bragg genotype had higher hydrogen peroxide levels. The antioxidants like ascorbic acid, catalase and ascorbate peroxidase were expressed greatly in Pb1 genotype than in Bragg genotype while superoxide dismutase activity did not differ between the two genotypes. It was indicated that Pb 1 genotype was affected to a lesser extent by water stress due to its superior capacity to generate osmolytes and antioxidants. Additionally, the seed components such as starch and proteins of the stressed plants experienced less damage in Pb1 genotype.
  K. Singh , M. Ismail , K. Jumari , M. Abdullah and K. Mat
 

This study presents the development of techniques to estimate mobile user`s location (position) for Universal Intelligent Positioning System (UIPS) project. UIPS uses combination of available Location Determining Technologies (LDT) and newly developed techniques for UMTS (3G) or beyond networks. The usage of each LDT (technique) will determine Location Base Services QoS (accuracy of mobile user`s location). The new techniques developed are Close Circle Correlation (CCC) and Newton Raphsons 3 Circles (NR3C). Both techniques use time measurements observed from three Node B (base stations) in known Line of Sight (LOS) environment (multipath time delays are known). For unknown LOS environment, further enhancements on CCC technique and NR3C technique are developed, such as Averaging Estimator of CCC, First Mean Averaging Estimator of NR3C and Random Search Averaging Estimator of NR3C. The Cumulative Distribution Function of simulated results (simulation of actual data collected through drive test in UMTS network with known LOS) using NR3C technique produced 67% of the estimated user`s location error at 0 m and 95% of the estimated location error at 1.7 nm. Using CCC technique, produced 67% estimated location error at 2.04 m and 95% estimated location error at 3.2 m. NR3C produces better accuracy in known conditions of multipath delays. In unknown LOS conditions, Averaging Estimator of CCC produced 67% location error at 50.67 m and 95% error at 218 m, which is better than the other two enhanced (averaging) techniques of NR3C.

  K. Singh , S. Sulaiman , M. Ismail and K. Jumari
  In this study, a Location Determining Technique (LDT) to determine the approximate position of a cellular mobile user in a suburban environment is presented. This LDT uses Signal Correlation Method (SCM) where the Received Signal Strength (RSS) of one Node B is used to approximate the location of the 3G data user in a suburban environment. A new training technique called Unique Sample Undefined Collection (USUC) is introduced for SCM which uses Neural Network to match the current RSS with stored signal strength of Node Bs detected around the User Equipment (UE). With this new technique, the Cumulative Distribution Function (CDF) for location estimation at 67% error distance between the simulated samples and the actual positions of UE was significantly reduced from 379 to 107.4 m, while at 95% of the simulated samples, the error distance remains approximately the same, at 379 m. SCM-USUC may not be suitable for emergency location search but should be utilized by Universal Intelligent Positioning System (UIPS) for tracking location of UE when data or voice services are used especially in larger cell areas, such as in suburban environment.
  V. K Tiwari , N Rawat , P Chhuneja , K Neelam , R Aggarwal , G. S Randhawa , H. S Dhaliwal , B Keller and K. Singh
 

Micronutrients, especially iron (Fe) and zinc (Zn), are deficient in the diets of people in underdeveloped countries. Biofortification of food crops is the best approach for alleviating the micronutrient deficiencies. Identification of germplasm with high grain Fe and Zn and understanding the genetic basis of their accumulation are the prerequisites for manipulation of these micronutrients. Some wild relatives of wheat were found to have higher grain Fe and Zn concentrations compared with the cultivated bread wheat germplasm. One accession of Triticum boeoticum (pau5088) that had relatively higher grain Fe and Zn was crossed with Triticum monococcum (pau14087), and a recombinant inbred line (RIL) population generated from this cross was grown at 2 locations over 2 years. The grains of the RIL population were evaluated for Fe and Zn concentration using atomic absorption spectrophotometer. The grain Fe and Zn concentrations in the RIL population ranged from 17.8 to 69.7 and 19.9 to 64.2 mg/kg, respectively. A linkage map available for the population was used for mapping quantitative trait loci (QTL) for grain Fe and Zn accumulation. The QTL analysis led to identification of 2 QTL for grain Fe on chromosomes 2A and 7A and 1 QTL for grain Zn on chromosome 7A. The grain Fe QTL were mapped in marker interval Xwmc382-Xbarc124 and Xgwm473-Xbarc29, respectively, each explaining 12.6% and 11.7% of the total phenotypic variation and were designated as QFe.pau-2A and QFe.pau-7A. The QTL for grain Zn, which mapped in marker interval Xcfd31-Xcfa2049, was designated as QZn.pau-7A and explained 18.8% of the total phenotypic variation.

  P Rawal , B. R Thapa , R Prasad , K. K Prasad , C. K Nain and K. Singh
 

Background and objectives: This study was conducted to evaluate plasma levels of zinc in children with celiac disease, to correlate plasma zinc levels among the celiacs with short stature and diarrhea and to compare plasma zinc levels in deficient patients on gluten-free diet (GFD) with or without 4 weeks of zinc supplementation.

Methods: A total of 134 patients underwent plasma zinc estimation at baseline and after a four week period. Zinc-deficient patients were randomly assigned to two groups. Group G (n = 48) received GFD without zinc supplementation, Group G + Z (n = 48) received GFD with zinc supplementation for 4 weeks.

Results: The rise in plasma Zinc levels was significant in each group regardless of zinc supplementation but similar when compared in the two groups after 4 weeks. Mean zinc levels at baseline and increase in zinc levels were statistically similar at 4 weeks in patients with diarrhea and short stature.

Conclusions: Zinc levels rise with GFD irrespective of zinc supplementation.

 
 
 
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