Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Canavan disease (CD) is a rare fatal childhood neurological autosomal recessive genetic disease caused by mutations in the ASPA gene, which lead to catalytic deficiency of the ASPA enzyme, which catalyzes the hydrolysis of N-acetyl-L-aspartate (NAA) into aspartate and acetate. CD occurs frequently among Ashkenazi Jewish population, however it has been reported in many other ethnic groups with significantly lower frequency. Here, we report on two Egyptian patients diagnosed with CD, the first patient harbors five missense mutations (c.427 A &gt; G; p. I143V, c.502C &gt; T; p. R168C, c.530 T &gt; C; p. I177T, c.557 T &gt; C; p. V186D c.548C &gt; T; p. P183L) and a silent mutation (c.693 C &gt; T; p. Y231Y). The second patient was found to be homozygous for two missense mutations (c.427 A &gt; G; p. I143V and c.557 T &gt; A; p. V186D). Furthermore, molecular modeling of the novel mutation p. P183L provides an instructive explanation of the mutational impact on the protein structure that can affect the function of the ASPA. Here, the clinical, radiological, and biochemical profile of the two patients are reviewed in details. © 2016, Springer Science+Business Media New York.

World University root node

Department of Software Systems

School of Computer Science and Engineering

Vellore Campus

Department of Integrative Biology

School of Bio Sciences and Technology

Metabolic Brain Disease

Two patients with Canavan disease and structural modeling of a novel mutation

To find the exact symptoms of lung cancer is difficult, because of the formation of the most cancers tissues, wherein large structure of tissues is intersect in a different way. This problem can be evaluated with the help of digital images. In this strategy images will be examined with basic operation of PCA Algorithm. In this paper, GLCM method is used for pre-processing of the snap shots and function extraction system and to test the level of diseases of a patient in its premature stage get to know it is regular or unusual. With the help of result stage of cancer will be evaluated. With the help of dataset and result survival rate of cancer patient can be estimated. Result is based totally on the precise and wrong arrangement of the patterns of tissues. © Published under licence by IOP Publishing Ltd.

VIT Unitversity

Fulltext

IOP Conference Series: Materials Science and Engineering

Classification of normal and abnormal images of lung cancer

This paper shows a compiler machine for adaptable figuring. Our technique assembles the flexibility and comfort in a way that grants to port the structure to different centers with an irrelevant effort. In light of a present arrangement stream, we endeavor to accomplish another tier of handiness in the way of exploring and dividing programs written in C on most hoisted able to be done delineation tier. We show that the examination on this level is more successful than on lower ones as a result of usage of more communicative fabricate of programming. The better examination comes to fruition merged with Static single assignment based estimation for data way creation might provoke upper game plan nature of the last structure setup. © 2017 IEEE.

Department of Database Systems

2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM)

Propels in Compiler Construction for Versatile Figuring

In highly densely populated country like India, environmental pollution is a major problem. Specifically, the hot mix plant used for laying roadways is posing a threat to the environment by emitting heavy noise and smoke. This paper proposes an air pollution monitoring system that measures the noise generated from polluting hot mix plant and multicast the acquired noise data to the Central Pollution Control Board (CPCB) and other communication media. Initially, the pressure is acquired from sound source by microphone and then converted to electrical signals in time domain. Applying Fast Fourier Transform converts time function into the spectrum of frequency component to which A-weighting filtering technique is applied. The resulting magnitude is given as the input to the microcontroller to calculate the noise in terms of decibels. The calculated value is compared with the ambient air quality standards in respect of noise and then the appropriate outputs are displayed in LCD. The abnormalities are indicated by red, orange and green LED based on the intensity of the sound levels as heavy, medium and normal respectively. To achieve the centralized monitoring process, the results are multicast using GSM module to facilitate the authorities to take the necessary decision. © Springer Nature Singapore Pte Ltd. 2017.

Computer Science

Chennai Campus

Advances in Intelligent Systems and Computing Proceedings of International Conference on Communication and Networks

An Efficient System Model for Multicasting Measured Noise Value of Polluting Industries

Department of Energy and Power Electronics

School of Electrical Engineering

PLOS ONE

Cold Stress Tolerance in Psychrotolerant Soil Bacteria and Their Conferred Chilling Resistance in Tomato (Solanum lycopersicum Mill.) under Low Temperatures

Polythene and plastic waste are found to accumulate in the environment, posing a major ecological threat. They are found to be considered non-degradable, once it enters the environment it has been found to remain there indefinitely. However, significant attention has been placed on biodegradable polymer, identification of microbes with degradative potential on plastic material. The aim of the present investigation was to biodegrade low-density polyethylene (LDPE) using potential fungi isolated from landfill soil. Based on 18S rRNA analyses the isolated strain was identified as Aspergillus clavatus. LDPE degradation by A. clavatus was monitored for 90 days of incubation in aqueous medium. The degradation was confirmed by changes in polyethylene weight, CO2 evolution by Strum test, infrared spectra and morphological changes by SEM and AFM analysis. © 2016, The Author(s).

Department of Bio-Medical Sciences

3 Biotech

Microbial degradation of low-density polyethylene (LDPE) by Aspergillus clavatus strain JASK1 isolated from landfill soil

Optik

Effect of Dy3+ ions concentration on optical properties of lead borosilicate glasses for white light emission

Structural and luminescent investigation of Eu3+ doped lead borosilicate glasses

In Information Technology satisfying customer needs is still remains a milestone because of their increasing demands. When taking the comparison strategy Industry is not only altered in the way of providing solutions, also handling of techniques and resource adaptability is taken into a new level. All the business activities are moving towards Integrated Approach, so the techniques involved should also support integrated platforms this to be followed by both existing techniques as well as newly evolved techniques. In this paper a very important existing technique Hadoop as an experimental platform configuring it by a newly born tool named as Ambari, to enable integrated approach on Hadoop clusters without disturbing its applications. To do this common platform which supports Hadoop, Ambari as well as its entire component modules, for this we chosen Horton Sandbox it is very helpful to integrate Hadoop with other relevant technologies and sandbox is readymade composite software platform were makes all the modules are installed priory, which allows our work very easier. In this experimental Hadoop and its clusters on different nodes are configured and controlled by Ambari which runs on Single machine. Our results clearly showing ambari acts as a central management system to monitor Hadoop clusters bring plenty of benefits to the Hadoop Users. © International Science Press.

International Journal of Control Theory and Applications

An integrated approach for configuring Hadoop clusters by Ambari on Horton Sandbox

AbstractUltrafiltration (UF) is one of the most widely used membrane technologies for the effective separation of macromolecules in feed solutions. However, despite good separation efficiency, the UF membranes made up of pure polymers suffer to a greater extent because of low flux problem, which affects the process time and load. To handle this limitation, the base polymer is blended with a suitable additive to modify the structural and surface morphology of the membrane to provide better fluxes. In this current study, a series of polyethersulfone (PES) UF asymmetric membranes blended with polyethylene glycol and iron oxide nanoparticles was prepared using the phase inversion technique. Prepared membranes were analyzed for their morphology, thermal stability, and membrane characterization. Morphology studies using scanning electron microscopy and atomic force microscopy confirmed the increase in the number of pores, pore size in support layer, and surface roughness in the blended membranes, ensuring the chances of enhanced flux. Surface hydrophilicity was increased with the increase in the iron oxide concentration in the composite membranes. Thermal analysis studies showed the better thermal stability of the blended membranes. Pure water flux of the prepared composite membranes was improved to a maximum of four times in comparison with pure PES membrane. Dye rejection studies clearly showed that the blended membranes almost had the same rejection as that of pure PES membrane. Thus, the prepared PES composite UF membrane is a promising candidate for the treatment of dye-polluted wastewater, ensuring high fluxes and effective rejection.

e-Polymers

Polyethylene glycol and iron oxide nanoparticles blended polyethersulfone ultrafiltration membrane for enhanced performance in dye removal studies

In this paper the concept of the extension of intuitionistic fuzzy h-ideals in one sided Γ-hemiring is introduced and some of the basic properties are investigate. Finally we have explained the extension of intuitionistic fuzzy h-biideal, intuitionistic fuzzy h-interior ideal and h-quasi-ideals and discussed the some of its properties. © 2014 V. Kirshnamoorthy and D. Ezhilmaran.

Department of Mathematics

School of Advanced Sciences

International Journal of Mathematical Analysis

Some properties of intuitionistic fuzzy H-ideals extension in Gamma-hemiring

Development of experimental setup for study of adsorption characteristics of porous materials down to 4.2 K