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Research Paper

Isolation of Serratia Liquefaciens as Metal Resistant Bacteria from Industrial Effluent

Sample from industry effluent consists of various metal like lead, zinc, copper, silver, mercury etc. The growth of microorganisms is affected by various factors like temperature, ph, salinity etc. In some cases there are some  microorganisms which can tolerate the presence of metal like lead, zinc, copper, silver, mercury etc, Presence of these metal is analysed  by atomic absorption spectrometry method, present study deals with  isolation of Serratia liquefaciens is done by various biochemical characteristics, various parameter analysis, culturing of Serratia   liquefaciens in the bacterial growth medium which consist of artificially supplemented with metal. From the study, it is confirmed that Serratia liquefaciens  is present in the polluted water where metal dust persists in the effluent sample. Serratia   liquefaciens were resistant to metal and these microorganisms are further encouraged to degrade metal in the sample

Published by: R. Ramya, Dr. M. Boominathan

Author: R. Ramya

Paper ID: V3I6-1445

Paper Status: published

Published: December 26, 2017

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Review Paper

Recent Developments on Photocatalytic water Splitting using Semiconductors for Hydrogen Production

Hydrogen fuel has gained heed in the recent years as fossil fuels and other non-renewable sources of fuels are fast depleting. Hydrogen has been contemplated to be a prospective source of an alternative fuel, predominantly if it can be produced from a renewable and sustainable source such as water. Methods such as photocatalytic water splitting are arguably one of the simple methods to produce clean, green and renewable energy by disassociating water into H2  (hydrogen) and O2 (oxygen) using catalyst and sunlight. Numerous techniques have been developed to improve photocatalytic activity in materials such as TiO2. This paper describes the recent progress, state of art and the future challenges in photocatalytic water splitting.

Published by: Bhargavi Radhakrishnan, Dr. M. Thirumarimurugan, Dr. R. Azarudeen

Author: Bhargavi Radhakrishnan

Paper ID: V3I6-1456

Paper Status: published

Published: December 26, 2017

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Research Article

Proficient Analysis of Mining Big Data Using Map Reduce Framework

Information now streams from everyday life from telephones and charge cards and TVs and PCs; from the framework of urban areas from sensor-prepared structures, trains, transports, planes, extensions, and production lines. The information stream so quick that the aggregate gathering of the previous two years is currently a zettabyte. This colossal volume of information is known as large information. Huge Data alludes to advancements and activities that include information that is excessively various, quick-changing or gigantic for traditional advances, aptitudes, and framework to address productively. Said in an unexpected way, the volume, speed or assortment of information is excessively extraordinary. The volume of information with the speed it is created makes it troublesome for the present processing foundation to deal with enormous information. To conquer this downside, enormous information handling can be performed through a programming worldview known as MapReduce. Commonplace, execution of the MapReduce worldview requires arranged connected stockpiling and parallel preparing. Hadoop and HDFS by Apache are generally utilized for putting away and overseeing huge information. In this exploration paper, the creators recommend different strategies for taking into account the issues close by through MapReduce structure over HDFS. MapReduce strategy has been learned at in this paper which is required for actualizing Big Information examination utilizing HDFS and minimize time.

Published by: Ajinkya Molke

Author: Ajinkya Molke

Paper ID: V3I6-1459

Paper Status: published

Published: December 23, 2017

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Case Study

An Analysis of Path Planning for Autonomous Motorized Robots

Mobile robots are widely used in many industrial fields. Research on path planning for mobile robots is one of the most important aspects of mobile robots research. Path planning for a mobile robot is to find a collision-free route, through the robot’s environment with obstacles, from a specified start location to the desired goal destination while satisfying certain optimization criteria. Determination of a collision-free path for a robot between start and goal positions through obstacles cluttered in a workspace is central to the design of an autonomous robot path planning. This paper presents a comprehensive study on state of art mobile robot path planning techniques focusing on algorithms that optimize the path in the obstacle abundant environment. Simulation scenarios are performed in the perspective of single and multi-robot path planning and the experimental results show the best performing path planning technique in the corresponding scenario. This paper intends to give assistance in the better understanding of the path planning techniques and also guide researchers to formulate novel techniques for better path planning in both single and multi-robot environments.

Published by: S. Sedhumadhavan , E. Niranjana

Author: S. Sedhumadhavan

Paper ID: V3I6-1424

Paper Status: published

Published: December 23, 2017

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Research Article

Serum Uric Acid as An Early Marker of Injury Severity in Trauma Patients: A Cross-Sectional Study at a Ugandan Tertiary Hospital

Background: Trauma is still the leading cause of death in many regions of the world. Several severity scores have been developed to assist in the management of trauma victims. The Injury Control Centre in Uganda developed the Kampala Trauma Score (KTS II) for use in resource-limited settings. With the limitations of the existing trauma scoring systems, there is a need to explore new, affordable, easy to use accurate diagnostics. Some studies in high-income countries have shown that Serum Uric Acid (SUA) has been previously shown to be elevated in trauma and serves as an Alarmin. The aim of this study, therefore, was to determine the correlation between SUA levels and injury severity in trauma patients in a resource-limited setting. Methods: An analytical, single-center, cross-sectional study carried out at a tertiary hospital AE unit in Kampala. Trauma patients aged ≥18 years presenting within 24 hours after injury were recruited consecutively after obtaining a written informed consent. Injury severity was determined using the KTS II scoring system and venous blood was drawn for SUA assay. Data were analyzed and the correlation of SUA levels with severity of trauma as defined by KTS II was made. Results:  A total of 154 patients was recruited with a male to female ratio of 5.4: 1. Road traffic crashes (RTC) were the commonest (64%) cause of the injury; pedestrians were involved in 30% of the cases. The correlation between SUA levels and severity between injury was depicted by the area under the receiver operator characteristics curve = 0.6015. Conclusion: Serum uric acid was a poor prediction of severity of injury among trauma patients in this low resource environment.

Published by: Okwi Nick, Galukande Moses, Rukundo Gideon

Author: Okwi Nick

Paper ID: V3I6-1418

Paper Status: published

Published: December 23, 2017

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Review Paper

A Robust and Verifiable Threshold Multi-Authority Access Control System in Public Cloud Storage

Attribute-based Encryption is observed as a promising cryptographic leading tool to assurance data owners’ direct regulator over their data in public cloud storage. The former ABE schemes include only one authority to maintain the whole attribute set, which can carry a single-point bottleneck on both security and performance. Then, certain multi-authority schemes are planned, in which numerous authorities distinctly maintain split attribute subsets. However, the single-point bottleneck problem remains unsolved. In this survey paper, from another perspective, we conduct a threshold multi-authority CP-ABE access control scheme for public cloud storage, named TMACS, in which multiple authorities jointly manage a uniform attribute set. In TMACS, taking advantage of (t, n) threshold secret allocation, the master key can be shared among multiple authorities, and a lawful user can generate his/her secret key by interacting with any t authorities. Security and performance analysis results show that TMACS is not only verifiable secure when less than t authorities are compromised, but also robust when no less than t authorities are alive in the system. Also, by efficiently combining the traditional multi-authority scheme with TMACS, we construct a hybrid one, which satisfies the scenario of attributes coming from different authorities as well as achieving security and system-level robustness.

Published by: Manisha More, Shital Y. Gaikwad

Author: Manisha More

Paper ID: V3I6-1402

Paper Status: published

Published: December 23, 2017

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