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Research Paper

Isolation of bacteria from agricultural soil and screening it for PGPR traits

Rhizobacteria owning multiple plant growth-promoting activities were isolated from the rhizospheric soils of plants flourishing in a semi-arid region. Plant Growth Promoting Rhizobacterial (PGPR) strains were segregated and screened for their plant growth-promoting activities like phosphate solubilization, production of indole- acetic acid, ammonia, hydrogen cyanide (HCN). Bacteria that colonize plant roots and promote plant growth are referred to as plant growth-promoting rhizobacteria (PGPR). PGPR is highly assorted and in this review, we focus on rhizobacteria as biocontrol agents. PGPR can affect growth directly or indirectly. Direct promotion of plant growth by PGPR involves both providing plants with a compound synthesized by the bacterium or helping the uptake of certain nutrients from the environment; while mechanisms of biological control by which rhizobacteria can support plant growth indirectly, i.e., by decreasing the level of disease, include antibiosis, induction of systemic resistance, and struggle for nutrients and niches.

Published by: Mohd. Faraz Khan, Hina Khan

Author: Mohd. Faraz Khan

Paper ID: V5I5-1149

Paper Status: published

Published: September 17, 2019

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Review Paper

Greedy algorithm

This research will help you go the through all the greedy algorithm and how greedy algorithm approaches on different kind of problems and give the optimal solution at a particular instant of step. We will go through different Greedy problems like making change problem, minimal spanning tree problems and knapsack problem in detail and help you clear out how this method work.

Published by: Kishan Senjaliya

Author: Kishan Senjaliya

Paper ID: V5I5-1163

Paper Status: published

Published: September 17, 2019

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Review Paper

A comprehensive survey on IoT networking

This paper rummages into the stirring world of Internet of Things (IoT), which in recent years has soared in popularity and practical applications. Today it connects diverse devices of various forms from all across the planet into a sophisticated yet unified system. IoT is revolutionizing modern lives with all its features and implementations across many multiple domains like healthcare, broadcasting, safety, etc. However, with the rise of IoT, it has also raised apprehensions about the networks which need to evolve as they are the pivots of IoT devices. IoT devices can be prone to network attacks due to a lack of proper protocols for managing the IoT devices, jeopardizing crucial data. This survey thus aims to summarize the working of IoT across networks, looking into its working and components, its current challenges and limitations, the security and privacy concerns plus its countermeasures.

Published by: Anirban Mukherjee, Aditya Singh

Author: Anirban Mukherjee

Paper ID: V5I5-1161

Paper Status: published

Published: September 16, 2019

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Research Paper

A study to explore the dietary patterns and related knowledge among antenatal women attending Kamla Nehru Hospital Shimla (Himachal Pradesh), with a view to develop an informational booklet

Pregnancy is a highly demanding period for nutrition demand, this period includes the taking of additional intake of nutritious foods which results in weight gain of about 10-12kg during pregnancy. Foods rich in Fiber like whole grains pulses, proteins and water should be taken during pregnancy. Objective: The study aimed to determine the dietary patterns and related knowledge among primigravida women of 1st trimester (1-12 weeks) during pregnancy. Methods: The study adopted an exploratory survey design that was conducted at O.P.D Kamla Nehru Hospital, Shimla, Himachal Pradesh in the month of February-March 2019. A total of 400 primigravida women of 1st trimester (1-12 weeks) were selected by purposive sampling technique and after collecting the data from the subjects Informational booklets were given to the subjects, the dietary patterns and related knowledge during pregnancy was assessed by using Self-structured questionnaire and interview technique was used to collect data. Result: Data analysis was done with descriptive and inferential statistics. Frequency and percentage were used to analyze the socio-demographic profile of the subjects. Mean and Standard Deviation was used to analyze the dietary patterns of Primigravida women of 1st trimester (1-12 weeks).A chi-square test was used to find the association between the knowledge regarding dietary patterns with the selected socio-demographic variables.28 close-ended questions were asked from the 400 subjects. 57% of the study subjects have good dietary patterns, 42.3% have average dietary patterns and 0.7% has poor dietary patterns. The majority of (61.3%) antenatal women had Moderate knowledge, (11.7%) had adequate knowledge and (27%) had inadequate knowledge regarding diet during the antenatal period. The significant association found between knowledge score of that antenatal women's Sources of information regarding diet (0.031*) were found significant with other socio-demographic variables. No other significant association was found with other socio-demographic variables. Conclusion: The results of the present study reveal that there is a lack of knowledge and practices among primigravida women of 1st trimester (1-12 weeks) during pregnancy hence women's knowledge needs to shift the care at the earliest to prevent further complications during pregnancy.

Published by: Nomita Chauhan, Viji M.

Author: Nomita Chauhan

Paper ID: V5I5-1157

Paper Status: published

Published: September 16, 2019

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Dissertations

Elimination of specular reflection

Detection of highlights is a prominent issue in computer vision, graphics and image processing. Applications that require object properties’ measurement or rendering are affected by specular reflection since the models assume matte diffusing surfaces most of the time. Hence, detection, and sometimes removal, of specular reflection (highlights) in an image may be critical. Proposed work takes the help of global color information of an image to effectively recover specular and diffuse reflection. We take help of a dichromatic reflection model to get insights into specular and diffuse reflection. To detect illumination chromaticity (specular reflection regions) we have effectively used a k-means algorithm. Pixels in an image are spread over the entire image and their distances to the illumination chromaticity give the number of specular reflection components. With such non-local overall information from these color lines, our method can effectively separate specular and diffuse reflection components using the repaint() method. We have taken the help of the Imglib2 library.

Published by: Samruddhi Patil, Chaya Jadhav

Author: Samruddhi Patil

Paper ID: V5I5-1155

Paper Status: published

Published: September 12, 2019

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Research Paper

The impact of technology on the evolution of warehouse management and smart warehouses

The article focuses on the evolution of warehouse management and how technology has played its part in this process. The concept of smart warehouses is discussed along with various technologies that different companies can implement in their warehouses. Through this article, we have tried to show how various problems such as costs, wastage of goods and time are reduced and a sustainable supply chain is created as a result of automated warehouses ensuring eco-friendly warehouses across the world.

Published by: Akash Jhawar, Nayzak Safar, Donovan Rodrigues

Author: Akash Jhawar

Paper ID: V5I5-1156

Paper Status: published

Published: September 10, 2019

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