TRANS outperforms MTF for two special types of request sequences without locality of reference

Various list accessing algorithms have been proposed in the literature and their performances have been analyzed theoretically and experimentally. Move-To-Front (MTF) and Transpose (TRANS) are two well known primitive list accessing algorithms. MTF has been proved to be the best performing online algorithm till date in the literature for real life inputs and practical applications with locality of reference. It has been shown that when storage space is extremely limited and pointers for lists cannot be used, then array implementation of TRANS gives efficient reorganization. Use of MTF is extensive in the literature whereas, the use of TRANS is rare. As mentioned as an open problem in literature, direct bounds on the behavior and performance of various list accessing algorithms are needed to allow realistic comparisons. Since it has been shown that no single optimal permutation algorithm exists, it becomes necessary to characterize the circumstances that indicate the advantage in using a particular list accessing algorithm. Motivated by above challenging research issue, in this paper we have made an analytical study for evaluating the performance of TRANS list accessing algorithm using two special types of request sequences without locality of reference. We have compared the performance of TRANS with MTF and observed that TRANS outperforms MTF for these considered types of request sequences.Comment: 9 Pages, Proceedings of International Conference on Communication, Computing and Security (ICCCS)-2012, India. http://www.sciencedirect.com/science/article/pii/S221201731200612

Nutrient Profiling and Identification of Genetic Marker for \u3cem\u3eAzolla\u3c/em\u3e sp.

Azolla (mosquito fern, duckweed fern, fairy moss and water fern) is a genus of seven species of aquatic ferns. They float on the surface of water by means of scale-like leaves, with their roots hanging in the water. Azolla is able to fix unlinked nitrogen (N2) directly from the atmosphere because of its endosymbiotic blue alga Anabaena azollae (Van Hove, 1989), and is thus a very promising supply of nitrogen to aquatic ecosystems. In recent years, apart of traditional cultivation of Azolla as a bio-fertilizer for wetland paddy, also find increasing use for sustainable production of livestock feed. Since the demand for milk and meat in India is creating new potential in the profitability of animal husbandry as an occupation. Yet, at the same time, there is a substantial decline in fodder availability. The area under forest and grasslands is decreasing as is the amount of various crop residues available for feed, largely due to the introduction of high yielding dwarf varieties. The shortage of fodder is therefore compensated with commercial feed, resulting in increased costs in meat and milk production. Moreover, as commercial feed is mixed with urea and other artificial milk boosters, it has a negative effect on the quality of milk and the health of the livestock. The search for alternatives to concentrates led us to a wonderful plant azolla, which holds the promise of providing a sustainable feed for livestock

Multi-criteria assessment to screen climate smart rice establishment techniques in coastal rice production system of India

Introduction: Conventional rice production techniques are less economical and more vulnerable to sustainable utilization of farm resources as well as significantly contributed GHGs to atmosphere. Methods: In order to assess the best rice production system for coastal areas, six rice production techniques were evaluated, including SRI-AWD (system of rice intensification with alternate wetting and drying (AWD)), DSR-CF (direct seeded rice with continuous flooding (CF)), DSR-AWD (direct seeded rice with AWD), TPR-CF (transplanted rice with CF), TPR-AWD (transplanted rice with AWD), and FPR-CF (farmer practice with CF). The performance of these technologies was assessed using indicators such as rice productivity, energy balance, GWP (global warming potential), soil health indicators, and profitability. Finally, using these indicators, a climate smartness index (CSI) was calculated. Results and discussion: Rice grown with SRI-AWD method had 54.8 % higher CSI over FPR-CF, and also give 24.5 to 28.3% higher CSI for DSR and TPR as well. There evaluations based on the climate smartness index can provide cleaner and more sustainable rice production and can be used as guiding principle for policy makers.publishedVersio

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Kinetics & Mechanism of Aquation & of Silver Ion Catalysed Peroxydisulphate Oxidation of Pentaammineformatocobalt(III) Ion

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