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Research Paper

Effect of industrial effluent on the plant growth and activity of enzyme amylase

Industrial effluents are ranked as the highest pollutants among all industrial wastes. The industry effluent is highly toxic to flora and fauna due to the presence of excess amount of dissolved solids, chlorides, sulphides, chromium with a very high BOD, COD and conductivity in the effluent From the Common effluent treatment plant (CETP), treated effluent was analyzed for physico-chemical characteristics and its effect on seed germination, á-amylase activity and early seedling growth and 100% of the effluent, suggested á-amylase enzyme dependent inhibition of seed germination. In contrast, compared to the control, shoot length, leaf length, á-amylase activity (IU/g) and fresh weight biomass (g/plant) of seedling found to decrease as the effluent concentration increased.

Published by: Pragati Khilari, Vanita Karale, Dnyaneshwar Ingole

Author: Pragati Khilari

Paper ID: V6I1-1281

Paper Status: published

Published: February 26, 2020

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Research Paper

Experiment investigation on mild steel grade E 350 C using CO2 laser beam machining

Laser beam machining is a predominantly used non-conventional process to cut the desired shape of sheet metal, plate, section and boxes with greater accuracy at least time. A co2 laser beam machine to be cut the mild steel grade E 350 C as thickness(TH) of 12 mm, 16 mm and 20mm. In this research work, a selected input parameters(IP) were laser power(LP), cutting speed(CS), gas pressure(GP), nozzle diameter(ND), focal length(FL), and nozzle distance(NDS). The experiment investigated the effect of this input parameter on output parameters(OP) like kerf width(KW), Perpendicularity(PR), surface roughness(SR), hardness(HRD) and heat-affected zone(HAZ). An experiment to be designed by the Taguchi L27 orthogonal array. After the analyzed result, to get the optimum input parameter for good cutting quality.

Published by: Ravikumar Baldevbhai Prajapati

Author: Ravikumar Baldevbhai Prajapati

Paper ID: V6I1-1276

Paper Status: published

Published: February 26, 2020

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Review Paper

Cybersecurity risks associated with the Internet of Things: A review of related literature

The Internet of Things (IoT)is the network of physical objects accessed through the Internet that can identify themselves to other devices and use embedded technology to interact with internal states or external conditions. The continued growth of the internet of things phenomenon has led to influx of a number of cybersecurity risks. This paper aimed at analyzing the most common classes of cybersecurity threats associated with IoTs and their impact to the security of the information systems. To achieve this, we examined and reviewed cybersecurity risks related literature of the IoT leading to the specification of the Internet of Things cybersecurity landscape. Finally, this review provides insights for cybersecurity risks evolution, suggesting tools, methods and potential approaches that can help ensure a safe IoT environment.

Published by: Davis Matovu, Mutua Stephen, Mugeni Gilbert, Karume Simon, Gilbert Gilibrays Ocen

Author: Davis Matovu

Paper ID: V6I1-1269

Paper Status: published

Published: February 25, 2020

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Research Paper

Brand preference and brand loyalty of rural consumers towards jewellery purchase in South India

This research paper focuses on the association between brand perception and brand loyalty of rural consumers towards jewellery in South India. Effective analysis is also conducted to understand the various factors that have an influence over rural consumer’s behavior towards branded and non-branded jewellery in India. The research also aims to study the nature of the association between price and store preference of rural jewellery consumers.

Published by: Sai Prateek Vas Tayi

Author: Sai Prateek Vas Tayi

Paper ID: V6I1-1289

Paper Status: published

Published: February 25, 2020

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Research Paper

Exposed Proteomes of Brachyspira pilosicoli responsible for the overall decline in poultry and pig’s meat production

Brachyspira pilosicoli is a gram-negative spiral-shaped, obligate anaerobe bacterium belongs to the spirochete family, the pathogen causing diarrhea, reduced growth rate, reduced egg and meat production, and quality. In recent years, there has been a substantial rise in the rate of Brachyspira pilosicoli infections, as well as the emergence of the virulent and antibiotic-resistant Brachyspira pilosicoli strains. So there is an urgent need for the identification of the therapeutic potential target and development of new drugs for the treatment and prevention of Brachyspira Pilosicoli infections. In the current investigation, we used approach by reference protein (RefSeq. Protein) the individual 1378 protein sequence was entered in DELTA-BLAST against proteomes of pigs (taxid: 9821) pigs & lt; 2 & gt; (taxid: 9823), chickens (taxid: 9031) and result of 27 protein sequences no similarity was found, these 27 protein sequences were again compared against the database of essential single genes individually and 9 of them had no similarity and 18 protein sequences were taken out which had similarity and their protein name, biological process, molecular function and role in virulence have been mentioned and discussed.

Published by: Ullas Prasanna Sadarahalli

Author: Ullas Prasanna Sadarahalli

Paper ID: V6I1-1283

Paper Status: published

Published: February 25, 2020

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Research Paper

Sniffer in a network

A sniffer is a device used to read, monitor and capture network data exchange between networking devices. These are generally used by network administrators to monitor the incoming and outgoing traffic in the network. It acts like a web filter, firewall tester and troubleshoots client-server relationships. If the packets are not encrypted, it gives you a full view of data inside the packet (passwords, PINs and privacy information). When the network is slow, we need to know the bandwidth of the network and is being used by whom. Sniffer can monitor the performance by hop-by-hop network path analysis and can minimize the downtime. If there is high traffic in the network it might be an indication of a hacker in the network, it can highlight the unusual spikes in the traffic. Here two sniffers are placed in between two routers to monitor the outgoing and incoming ICMP packets in a network.

Published by: T. Prathyusha

Author: T. Prathyusha

Paper ID: V6I1-1244

Paper Status: published

Published: February 22, 2020

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