Fast Lean Erasure-Coded Atomic Memory Object

In this work, we propose FLECKS, an algorithm which implements atomic memory objects in a multi-writer multi-reader (MWMR) setting in asynchronous networks and server failures. FLECKS substantially reduces storage and communication costs over its replication-based counterparts by employing erasure-codes. FLECKS outperforms the previously proposed algorithms in terms of the metrics that to deliver good performance such as storage cost per object, communication cost a high fault-tolerance of clients and servers, guaranteed liveness of operation, and a given number of communication rounds per operation, etc. We provide proofs for liveness and atomicity properties of FLECKS and derive worst-case latency bounds for the operations. We implemented and deployed FLECKS in cloud-based clusters and demonstrate that FLECKS has substantially lower storage and bandwidth costs, and significantly lower latency of operations than the replication-based mechanisms

Optimizing the performance of an Astigmatic Defocus Sensor and its implementation using Computer Generated Hologram

Astigmatic Defocus Sensor is a very simple and easy technique for measuring the amount of defocus (deviation from the focal plane) present in an optical beam. The approach uses a cylindrical lens to focus the beam and the measure of the intensity at the focal plane is used to find out the amount of defocus present in the beam. In this paper, we provide a theoretical discussion, on the Astigmatic Defocus Sensor, based on Fourier optics. The theoretical discussion is validated through simulation results. Two ways to optimize the performance of the astigmatic defocus sensor were also established. Further, the process of implementing the Astigmatic Defocus Sensor using computer-generated hologram is presented

CYCLIC VOLTAMMETRY OF CHLOROAURIC ACID WITH GLASSY CARBON ELECTRODE IN ACETONITRILE

The electrochemical behaviour of chloroauric acid in acetonitrile has been investigated over glassy carbon electrode. The reduction of [AuCl4]- initially forms [AuCl2]- before deposition on the electrode as Au(0). In the consecutive reduction steps chloride ions were released

UV-VISIBLEAND ELECTROCHEMICAL STUDIES ON ACID-BASE EQUILIBRIUM OF [V^(IV)O(NTA)]- TETRADENTATE COMPLEX ENCAPSULATED IN AQUEOUS SURFACTANT MICELLES

In this paper, we report UV-Visible spectroscopic and electrochemical studies of acid-base equilibrium of nitrilotriacetato oxovanadium(IV) [VIVO(NTA)]- complex as model complex of non-enzyme vanadium containing metalloenzymes in aqueous surfactant micelles. The observed pKa values and stability of the [VIVO(NTA)]- complex in aqueous surfactant micelles follow the order: SDSCTAB. The pH dependent mid-point redox potential of  [VIVO(NTA)]- complex in aqueous surfactant micelles follow the order SDS TritonX-100 CTAB

CONVERSION OF REDUCED GRAPHENE OXIDE INTO MULTI-WALLED CARBON NANOTUBES

We report the green, simple microwave-assisted approach for catalytic conversion of reduced graphene oxide(rGO) into multi-walled carbon nanotubes(MWCNTs) in presence of conducting polymer poly aniline(PANI) and Indium tin oxide(ITO) powder as catalytic agent. Rod like MWCNTs with inner hollow bamboo-shaped structures were obtained. The observed MWCNTs have length 6025 nm and outer diameter 150nm. The UV-Visible absorption spectrum of MWCNTs shows bands at 236 and 254nm which results from the π-plasmon excitation. In photoluminescence(PL) spectra , MWCNTs shows emission bands at 439 and 659nm when excited at 325nm. Infra-red spectroscopy and electrochemical studies were performed for the MWCNTs. The morphology of the MWCNTs were characterized by using X-ray diffraction(XRD), Scanning Electron Microscope(SEM) and Transmission Electron Microscope(TEM) techniques

Highly Scalable Algorithms for Robust String Barcoding

String barcoding is a recently introduced technique for genomic-based identification of microorganisms. In this paper we describe the engineering of highly scalable algorithms for robust string barcoding. Our methods enable distinguisher selection based on whole genomic sequences of hundreds of microorganisms of up to bacterial size on a well-equipped workstation, and can be easily parallelized to further extend the applicability range to thousands of bacterial size genomes. Experimental results on both randomly generated and NCBI genomic data show that whole-genome based selection results in a number of distinguishers nearly matching the information theoretic lower bounds for the problem