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Research Paper

Synthesis, characterization, and evaluation of Antibacterial activities of 2,5-disubstituted 1,3,4-Oxadiazole derivatives

Lincy Joseph, et al.: Antibacterial activity of 2,5-disubstituted 1,3,4-Oxadiazole derivatives Synthesized five 2,5-disubstituted 1,3,4-Oxadiazole derivatives. The target compounds J1 – J5 were obtained by treating aromatic acid ester hydrazide derivative and β-Benzoyl propionic acid derivatives using concentrated sulphuric acid as a dehydrating agent. They were purified and characterized by IR, NMR, and Elemental Analysis. The compounds were further subjected to antibacterial study against gram positive and gram negative strains. Compounds J1 and J2 exhibited good antibacterial activity and compounds J3 and J4 were found to have moderate antibacterial activity compared to standard drug ciprofloxacin (30mcg).

Published by: Lincy Joseph, Mathew George, Jinijith S.

Author: Lincy Joseph

Paper ID: V4I4-1540

Paper Status: published

Published: August 30, 2018

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Survey Report

Data clustering algorithms: A second look

With the huge volume of digital data, clustering algorithms are providing efficient tools for data organizing and analyzing. Clustering algorithms are used in various domains such as bioinformatics, speech recognition, and information retrieval. Clustering is an automatic technique that divides a set of data objects into smaller groups such that the objects within a group are similar to each other and dissimilar to objects in other groups as much as possible. This paper reviews and discusses different clustering algorithms, their concepts, advantages, and limitations. A comparison among clustering algorithms will also be represented based on certain criteria.

Published by: Yousef Alraba'nah, Mohammed Al-refai

Author: Yousef Alraba'nah

Paper ID: V4I4-1496

Paper Status: published

Published: August 30, 2018

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Research Paper

Design and simulation of a model predictive controller for level control in a single tank system

Process control refers to the methods that are used to control and manipulate process variables in manufacturing a product. Main aim of this work is to design and simulate the working of a single input-single output (SISO) tank system using model predictive control (MPC) and conventional control and comparing the performances of both systems. The controlled variable is the liquid level in the tank and manipulated variable is the inlet flow rate of the liquid. Control systems based on a servo and regulatory control schemes are designed and simulated in Scilab. Tuning methods like Ziegler-Nichols, Coon-Cohen, and Tyreus-Luyben are used for the design of conventional controllers (P, PI, and PID). MPC system is designed using Differential Evolution heuristic. From the results obtained, it is revealed that the model predictive control scheme developed was able to control the liquid level in the tank with no offset and a settling time which was considerably lower than those offered by the conventional control schemes. The validated MPC system provides zero offset, better settling times, self-learning control action and incorporation of non-linear models with ease. This model can serve as a base for future improvement studies on the said model predictive control scheme.

Published by: Hem M Barot, Akshata Barge, Ramesh Vulavala

Author: Hem M Barot

Paper ID: V4I4-1560

Paper Status: published

Published: August 30, 2018

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Research Paper

An academic and financial overview of blockchain: Applications in educational institutions

A tsunami of pressure, transparency, mess, job-cuts, and efficiency; just some of the long-standing disruptions that Bitcoin brought with it, since its inception 9 years ago in 2009. But, hand in hand with Bitcoin came another revolution. A revolution touted to change the face of all centralized mediums. The underlying technology behind Bitcoin, that makes it a “Borderless Transparent Mutual Censorship Resistant and Immutable Currency”, Blockchain, is the main aim of this study, along with finding possible solutions and implications in the field of Academics and Education. The fundamental and core concepts of Blockchain are explained with its potential influence in various sectors, mainly Education. Keeping in mind the current state of Academia, Christ University has been taken into consideration as a model for this study.

Published by: Sudarshan M

Author: Sudarshan M

Paper ID: V4I4-1514

Paper Status: published

Published: August 30, 2018

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Research Paper

Bacteriology of Surgical Site Infections after Colorectal surgeries

Surgical Site Infection (SSI) is the infection of the skin and subcutaneous tissues, organs or spaces exposed by surgeons during the performance of an invasive procedure. Appropriate antimicrobial therapy is mandatory not only to improve the prognosis of patients with SSIs but also to minimize the occurrence of antibiotic-resistant organisms. To use antibiotics appropriately, especially before the availability of culture sensitivity reports, information on the prevalent microbial flora isolated from SSIs is of particular value. The purpose of this study was to study the bacteriological spectrum of SSIs in colorectal surgical patients. This 2-year prospective study of 272 patients was conducted in the Department of Colorectal Surgery at a tertiary care hospital in Kashmir. Postoperatively surgical site infected cases were identified using CDC, USA definition for SSI. After discharge from hospital, patients were followed for up to 30 days to check any signs of SSI. If there were no signs of SSI within 30 days of operation, the patient was regarded as having no SSI. After identifying a patient with SSI, puss culture swabs were sent to the microbiology laboratory of the institute. After collecting the reports of swab culture, data was analyzed statistically and inferences were drawn from there. Out of 272 patients, 36 patients developed SSI that is the SSI rate in our series was 13.2%. Incisional SSIs comprised about 89% while as organ/space infections comprise only about 11% of total SSIs in this study. Out of 36 SSI patients, only 24 had positive swab/puss culture reports that are swab/puss culture positivity rate was 66.67%. The most common organism found was Staph aureus followed by E.coli. Gram positive organisms out-numbered the gram negative ones in our study of SSI in colorectal patients. Swab/puss culture positivity rate in our study is 66.67%. The most common organism found in SSI after colorectal surgery is Staphylococus aureus followed by E.coli. Also the gram positive organisms out-numbered the gram negative ones in SSI in colorectal patients.

Published by: Dr. Mudassir Ahmad Khan, Nisar A Chowdri, Dr. Ajaz Ahmad Bhat, Fazl Q Parray, Dr. Asif Mehraj, Dr. Rauf A Wani, Dr. Arshad Baba, Dr. Mushtaq Laway

Author: Dr. Mudassir Ahmad Khan

Paper ID: V4I4-1504

Paper Status: published

Published: August 30, 2018

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Research Paper

Using human area networking to enhance Internet of Things and human organ analysis

Internet of Things is a technology that refers to connect anything with internet based on stipulated protocols to produce information using sensing devices, to transfer data which in turn results in better tracking, positioning, monitoring, administration and extraction of optimal usage form All Things around us. In this paper, we use the Redtacton technology to overcome the security and external signal dependency of INTERNET OF THINGS and make it as a more personalized one wherein it’s used for medical application using genetic algorithmic sequences (organ cycle, chakras stimulation).

Published by: Dorothy Joseph E

Author: Dorothy Joseph E

Paper ID: V4I4-1559

Paper Status: published

Published: August 30, 2018

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