Software Performance Engineering for Cloud Applications – A Survey

Cloud computing enables application service providers to lease their computing capabilities for deploying applications depending on user QoS (Quality of Service) requirements.Cloud applications have different composition, configuration and deployment requirements.Quantifying the performance of applications in Cloud computing environments is a challenging task. Software performance engineering(SPE) techniques enable us to assess performance requirements of software applications at the early stages of development. This assessment helps the developers to fine tune their design needs so that the targeted performance goals can be met. In this paper, we try to analyseperformance related issues of cloud applications and identify any SPE techniques currently available for cloud applications

Investigation on D-STATCOM Operation for Power Quality Improvement in a Three Phase Three Wire Distribution System with a New Control Strategy

This paper deals with the issue of modeling and analysis of power controllers, power electronic-based equipment aimed at improving the reliability, stability and quality of power flows in low voltage distribution networks. A new control scheme is proposed to generate the PWM signal based on the measurements of voltage, and no reactive power measurements are required. The operation of the proposed control method is presented for D-STATCOM. Simulations and analysis are carried out in MATLAB/PLECS with this control method for the proposed systems. The reliability of the control scheme in the system response to the voltage instabilities due to system faults or load variations is proved obviously in the simulation results. Keywords: D-STATCOM, PWM, VSC, MATLAB/PLECS

A Multiple Classifier Approach to Improving Classification Accuracy Using Big Data Analytics Tool

At the heart of analytics is data. Data analytics has become an indispensable part of intelligent decision making in the current digital scenario. Applications today generate a large amount of data. Associated with the data deluge, data analytics field has seen an onset of a large number of open source tools and software to expedite large scale analytics. Data science community is robust with numerous options of tools available for storing, processing and analysing data. This research paper makes use of KNIME, one of the popular tools for big data analytics, to perform an investigative study of the key classification algorithms in machine learning. The comparative study shows that the classification accuracy can be enhanced by using a combination of the learning techniques and proposes an ensemble technique on publicly available datasets

A Fluorescent Chemodosimeter for Hg2+Based on a Spirolactam Ring-Opening Strategy and its Application Towards Mercury Determination in Aqueous and Cellular Media

A novel fluorescent chemosensor rhodamine B phenyl hydrazide (RBPH) for Hg2+ was designed and synthesized. This probe is highly sensitive, selective, and irreversible for Hg2+ and exhibits fluorescent response at 580 nm. RBPH also displayed detectable color change from colorless to pink upon treatment with Hg2+. This property has been utilized as naked eye detection for Hg2+ in various industrial samples. Fluorescence microscopic experiments demonstrated that this chemosensor is cell permeable and can be used for fluorescence imaging of Hg2+ in cellular media. This probe can detect Hg2+ with good linear relationships from 1 to 100 nM with r = 0.99983 and the limit of detection were found to be 0.019 nM with ± 0.91 % RSD at 10 nM concentrations

Insect antifeedant and growth regulating activities of neem seed oil- the role of major tetranortriterpenoids

An attempt was made to correlate insect antifeedant and growth regulatory activities of neem (Azadirachta indica) seed oil with the major tetranortriterpenoids. Selective elimination of triterpenoids by preparative high-performance liquid chromatography, incorporation of the eliminated compounds in defined concentrations and bioassaying the resultant fractions against Spodoptera litura indicated the necessity to quantify major triterpenoids for correlation of bioactivity of neem oil

DEVELOPMENT AND VALIDATION OF STABILITY INDICATING REVERSED PHASE HIGHPRESSURE LIQUID CHROMATOGRAPHY METHOD FOR SIMULTANEOUS ESTIMATION OF METFORMIN AND EMPAGLIFLOZIN IN BULK AND TABLET DOSAGE FORM

ABSTRACT Objective: To develop accurate, fast, simple, and precise reversed-phase high-pressure liquid chromatography method for simultaneous determination of the binary mixture of metformin (MET) and empagliflozin (EMPA) in dosage forms. Methods: The method uses a mobile phase consisting of phosphate buffer, acetonitrile, methanol (15:80:5 v/v/v), an octadecyl silica C-18 column (4.6 mm × 250 mm, 5 μ particle size) in isocratic mode, detection wavelength of 227 nm, and a flow rate of 1 mL/minutes. Results:  The  measured  retention  times  for  MET  and  EMPA  and  were  2.528  and  4.140 minutes,  respectively.  The  percentage  recoveries  of  MET  and  EMPA  were 101.12% and 100.55%, respectively. The relative standard deviation for assay of tablets was found to beÂ

AN INVENTIVE DIGIT-FLAT SEQUENTIAL COMPARABLE CONFIGURATION FOR MULTIPLY

Through efficient projection of signal-flow graph (SFG) from the suggested formula, a very regular processor-space flow-graph (PSFG) comes. Redundant basis (RB) multipliers over Galois Field( ) have acquired huge recognition in elliptic curve cryptography (ECC) mainly due to their minimal hardware cost for squaring and modular reduction. Within this paper, we've suggested a manuscript recursive decomposition formula for RB multiplication to acquire high-throughput digit-serial implementation. It's proven the suggested high-throughput structures are the most useful one of the corresponding designs, for FPGA and ASIC implementation. By determining appropriate cut-sets, we've modified the PSFG superbly and carried out efficient feed-forward cut-set retiming to derive three novel multipliers which not just involve considerably a shorter period-complexity compared to existing ones but additionally require less area and fewer power consumption in comparison using the others. The synthesis recent results for field programmable gate array (FPGA) and application specific integrated circuit (ASIC) realization from the suggested designs and competing existing designs are in comparison. It's proven the suggested designs are capable of as much as 94% and 60% savings of area-delay-power product (ADPP) on FPGA and ASIC implementation over the very best of the present designs, correspondingly. Both theoretical analysis and synthesis results read the efficiency of suggested multipliers within the existing ones.

Discovery of an α2,9-PolyNeu5Ac Glycoprotein in C-1300 Murine Neuroblastoma (Clone NB41A3)

alpha2,8-PolyNeu5Ac is expressed on neural cell adhesion molecules during embryogenesis and also re-expressed on certain tumors. PolyNeu5Ac is therefore an oncodevelopmental antigen, has important regulatory effects on the adhesive and migratory behavior of neural cells, and is thus crucial to synaptic plasticity. Until now, alpha2,9-polyNeu5Ac, a linkage isomer of alpha2,8-polyNeu5Ac, has long been thought to occur only in capsules of neuroinvasive Neisseria meningitidis group C bacteria. Here we report the unexpected discovery of alpha2,9-polyNeu5Ac in a new cell adhesion-related glycoprotein on the membrane of C-1300 murine neuroblastoma cells (clone NB41A3). We also report the expression of alpha2,9-polyNeu5Ac was affected by cell growth and retinoic acid-induced differentiation. Occurrence of the linkage isomer of alpha2,8-polyNeu5Ac has been left unrecognized by conventional methods using biological diagnostic probes for alpha2,8-polyNeu5Ac. Thus, our discovery may change contemporary views of biology and pathology of polysialic acid and open new avenues for the development of anti-neural tumor drugs