Study of Effective Scheduling Algorithm for Application of Big Data

In this new era with the advancement in the technological world the data storage, analysis becomes a major problem. Although the availability of different data storage component like electronic storage such as hard drive or virtual storage such as cloud still the problems remains. The major issue is processing the data because usually the data is in several format and size. Usually processing such huge amount of data with several formats can be time consuming. Using of application such as Hadoop can be beneficial but using of scheduling algorithm can be the best way to for data set analysis to make the process time efficient and analysis the requirement of different scheduling algorithm for the specific data set. In this paper we analysis different data set to explain the most effective scheduling algorithm for that specific data set and then store and execute data set after processing

Measurement and Classification of Network Traffic Analysis Using Hardoop

Network traffic can classified as a process which list computer network based on some parameters like port number and protocols into some traffic classes like undesired, sensitivity etc. Traffic can be implemented differently to differentiate the service required for the user for the specific purpose. The large demand of increase in internet users and increase in bandwidth required for various applications are escalating day by day. The traffic data needs to be classified and analyzed with certain tools. Hardoop is the tool which performs the task in very time efficient manner. Hardoop actually run on commodity hardware which process this huge data with hive. Traffic analysis, measurement and classification are done by hardoop based tools at various parameters of packet and flow level. The derived result is used by network administrator for resolving networking related issue. The measurement of internet traffic and analysis has been implemented from long before but the problem is recent years the user in internet has escalated dramatically. We proposed network traffic management system for analyzing internet traffic of multi-terabytes in extensible manner to perform HTTP, ICMP, UDP, TCP and IP

Genetic diversity and population structure of Barilius barna (Hamilton, 1822) in the sub-Himalayan Dooars region of West Bengal, India through Mitochondrial Cytochrome Oxidase I Sequence analyses

The genetic diversity and the population structure of Barilius barna (Hamilton, 1822) wild population from the Teesta River were assessed through mtDNA cytochrome oxidase I (COI) sequence analyses. The haplotype and nucleotide diversity analyses revealed low level of genetic diversity in the B. barna wild populations, especially in the lower reaches of Teesta (Bholarhat). The genetic differentiation and gene flow between the two study sites were 0.08434 and 2.71, respectively. Tajima’s D, Fu and Li’s D and Fu and Li’s F analyses were used to assess population differentiation in the two study sites. Haplotype networking and phylogenetic analyses clearly distinguished the two populations from each other, as well as from other populations from other parts of the country. Nature and implications of the genetic and haplotype diversities among the populations are discussed. Phylogenetic analyses also indicated that the Gajoldoba population is genetically closer to north Indian river populations, than that to Bholarhat population

A Comparative Study of the Perceptual Sensitivity of Topological Visualizations to Feature Variations

Color maps are a commonly used visualization technique in which data are mapped to optical properties, e.g., color or opacity. Color maps, however, do not explicitly convey structures (e.g., positions and scale of features) within data. Topology-based visualizations reveal and explicitly communicate structures underlying data. Although we have a good understanding of what types of features are captured by topological visualizations, our understanding of people's perception of those features is not. This paper evaluates the sensitivity of topology-based isocontour, Reeb graph, and persistence diagram visualizations compared to a reference color map visualization for synthetically generated scalar fields on 2-manifold triangular meshes embedded in 3D. In particular, we built and ran a human-subject study that evaluated the perception of data features characterized by Gaussian signals and measured how effectively each visualization technique portrays variations of data features arising from the position and amplitude variation of a mixture of Gaussians. For positional feature variations, the results showed that only the Reeb graph visualization had high sensitivity. For amplitude feature variations, persistence diagrams and color maps demonstrated the highest sensitivity, whereas isocontours showed only weak sensitivity. These results take an important step toward understanding which topology-based tools are best for various data and task scenarios and their effectiveness in conveying topological variations as compared to conventional color mapping

Extensive Fixed Drug Eruption Due to Diclofenac

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A new strategy for improvement of tamarind seed based chicken diet after microbial detannification and assessment of its safety aspects

Tamarind seed, an abundant agricultural waste, contains a large amount of naturally occurring anti-nutrient, tannin. This study aimed at evaluating the detannification efficiency of tannase producing Bacillus subtilis PAB2 in comparison with enzymatic and conventional physical techniques, and assessment of its health promoting effect in chicken model. Microbial fermentation resulted in lowering of 80.8% tannin, whereas enzymatic and physical treatment removed only 48 and 28.6%, respectively. To assess the health beneficial effects, experimental schedule for poultry chicken model was designed viz., (T1) commercial food, (T2) T1+tamarind seeds, (T3) T1+enzymatic detannified seeds and (T4) T1+ fermented seeds. It was found that physiological indices of chicken in T4 group improved more than T2, but those were comparable with T1 and T3. The level of total plasma protein, albumin and other haematological parameters also significantly (P<0.05) improved in T4 more than T2. The quantities of small intestinal indicator microbes like Escherichia coli, Clostridium perfringens and Yeast sp. in T4 group increased more than T2. Thus, fermentation led to quality improvement of raw tamarind seed which suggested its employment as an alternative feedstock for poultry chicken

Characterization of an acidophilic α-amylase from Aspergillus niger RBP7 and study of catalytic potential in response to nutritionally important heterogeneous compound

An acidophilic α-amylase from Aspergillus niger RBP7 was purified after solid state fermentation on potato peel substrate. Molecular mass of the purified α-amylase was 37.5 kDa and it exhibited 1.4 mg/ml and 0.992 μ/mol/min Km and Vmax values, respectively. The enzyme was stable in the pH range from 2.0 to 6.0, at high NaCl concentration (3 M) and at temperatures between 40 °C and 70 °C. The enzyme showed an optimal activity at pH 3.0 and at 45 °C. The enzyme was inhibited by Hg2+ and was stable in the presence of different surfactants (Tween 60, Tween 80, and SDS at 1% level) and different inhibitory reagents (β-mercaptoethanol, phenylmethylsulfonyl fluoride, and sodium azide). This acidophilic amylase enzyme can digest heterogeneous food materials, i.e. the mixture of rice, fish, bread and curry with comparable activity to the commercial diastase enzymes available

US Cosmic Visions: New Ideas in Dark Matter 2017: Community Report

This white paper summarizes the workshop "U.S. Cosmic Visions: New Ideas in Dark Matter" held at University of Maryland on March 23-25, 2017.Comment: 102 pages + reference