Konjac Bio-Molecules Assisted, Rod-Spherical shaped Lead Nano Powder Synthesized by Electrolytic Process and Its Characterization Studies

Synthesis and structural characterization of Pb nanoparticles by electrolysis using a bioactive compound - konjac aqueous extract is the main aim of this study. This method is a unique, novel, low cost and double-step procedure with good reproducibility and has not been used for nanoparticles preparation so far. Konjac extract has been added to prevent the oxidation of Pb nanoparticles. Also the synthesized nanoparticles have been dried in open air to observe their stability. Various types of characterization tools like XRD, SEM, Particle Size Analyzer, TEM-EDS, DSC, AAS and FT-IR have been utilized to study characters of the end product. Anti-bacterial Studies has also been done. After completion of synthesis process that we have made an attempt to change the shape of the synthesized nanoparticles by the influence of sunbeams and to find the effects of the sunlight on nanomaterials.Comment: 37 Pages, 20 Figures, 19 Tables, 20 Equations and 64 References. arXiv admin note: text overlap with arXiv:1111.026

An Insight Analysis of Nano sized powder of Jackfruit Seed

The preparation of biodegradable nanomaterials by blending starch nanocrystals with various polymer matrices are the most active research. This work reports aspect related to nano-sized particles of jackfruit seed. This approach is simple, faster, eco-friendly, cost effective and suitable for large scale production. X-Ray Diffraction studies analyze particles size, morphology, type of starch and degree of crystallinity. The particle size is found to be 12nm, specific surface area is 625 m2g-1, contains A-type starch and 32% degree of crystallinity. A morphology index (MI) is developed from FWHM of XRD data to understand interrelationship of particle size and specific surface area. MI range is from 0.50 to 0.74. It is correlated with the particle size and specific surface area. It is observed that MI has direct relationship with particle size and an inverse relationship with specific surface area.Comment: 12 Pages, 5 Figures, 5 Table

Chemical Synthesis of Nano-Sized particles of Lead Oxide and their Characterization Studies

The quantum dots of semiconductor display novel and interesting phenomena that have not been in the bulk material. The color tunability is one of the most attractive characteristics in II-VI semiconductor nanoparticles such as CdS, ZnS, CdSe, ZnSe and PbO. In this work, the semiconductor lead oxide nanoparticles are prepared by chemical method. The average particle size, specific surface area, crystallinity index are estimated from XRD analysis. The structural, functional groups and optical characters are analyzed with using of SEM, FTIR and UV- Visible techniques. The optical band gap value has also been determined.Comment: 8 pages, 5 figures, 2 table

Space Efficient Breadth-First and Level Traversals of Consistent Global States of Parallel Programs

Enumerating consistent global states of a computation is a fundamental problem in parallel computing with applications to debug- ging, testing and runtime verification of parallel programs. Breadth-first search (BFS) enumeration is especially useful for these applications as it finds an erroneous consistent global state with the least number of events possible. The total number of executed events in a global state is called its rank. BFS also allows enumeration of all global states of a given rank or within a range of ranks. If a computation on n processes has m events per process on average, then the traditional BFS (Cooper-Marzullo and its variants) requires $\mathcal{O}(\frac{m^{n-1}}{n})$ space in the worst case, whereas ou r algorithm performs the BFS requires $\mathcal{O}(m^2n^2)$ space. Thus, we reduce the space complexity for BFS enumeration of consistent global states exponentially. and give the first polynomial space algorithm for this task. In our experimental evaluation of seven benchmarks, traditional BFS fails in many cases by exhausting the 2 GB heap space allowed to the JVM. In contrast, our implementation uses less than 60 MB memory and is also faster in many cases