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The Effect of Nylon Fibers in Self-Consolidating Concrete (SCC)

Self-compacted concrete (SCC) is a unique type of concrete that settles into the formwork and fills all of its corners without the use of compaction or vibration. Because SCC has a higher flowability, it becomes brittle and performs poorly under stress and bending. One of the most effective ways to increase the tensile and flexural performance of SCC is to include randomly distributed short and discontinuous fibers. In this regard, this experimental study is undertaken to investigate the effect of nylon fibers (NF) on the fresh and hardened properties of SCC. Two different lengths, 20 mm and 12 mm, were used, as well as five different volumetric percentages of NF, 0.1, 0.2, 0.3, 0.4, and 0.5 percent. The results demonstrated that adding NF to SCC had a minor effect on its fresh characteristics. However, the magnitude of the influence is not large enough to be considered a significant factor. According to EFNARC criteria, the fresh characteristics of whole mixtures are within the required range. With the addition of NF, the strength qualities improve. the extent of increment is greater for the longer length of NF. The optimum volumetric fraction of NF for producing high strength SCC was found as 0.5%. The fresh properties of complete combinations are within the required range, according to EFNARC guidelines. The strength properties enhance with the addition of NF. The length of NF has a significant impact on the amount of increment. The volumetric proportion of NF required to produce high-strength SCC was discovered to be 0.5 percent.

Published by: Qasim Alsherify

Author: Qasim Alsherify

Paper ID: V7I5-1171

Paper Status: published

Published: September 7, 2021

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Research Paper

Adsorption Behavior of Cu, Al, Mn, Sr, Pb, Cd, Zn, and Ca Metal Ions on Cation Exchange Resign Dowex 50 WX8 (NH4+ form) from Aqueous Acetone – Ammonium Propionate Media

In the field of inorganic separation, the incentive to explore the use of non-aqueous or mixed solvent has been enhanced selectivity’s, discovered quite early in such media for Zeolites [1] and ion exchange resins [2]. The partial substitution of an aqueous solution by organic solvent produces a number of changes in an exchange system. The electrolyte plays a significant role in the ion exchange equilibrium with aqueous solutions. This effect is expected to be even more important in the adsorption equilibriums of metal ions from mixed aqueous organic solvents. Adsorption equilibrium depends on the properties of the organic solvent and the reaction with resin and electrolytes which determine the equilibrium. The metal ion exchange on cation exchangers and their uses has been done.

Published by: Rajan Kamble

Author: Rajan Kamble

Paper ID: V7I5-1169

Paper Status: published

Published: September 7, 2021

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Research Paper

Automated real-time detection and reporting accidents using IoT based helmet

In recent days, road accidents are occurred as regular habits by mainly using motorbikes. The goal of this project is proposed to prevent, detect and report the accidents to the respective authorities. This may reduce severe accidents and as well as may save the lives of people. We propose the solution, where the helmet itself initiates communication to report the accident using a person’s phone. Our design consists of Arduino Microcontroller, transmitter and receivers, and sensors. By using RF transmitter and indicator, indicates that the person is wearing a helmet, if it doesn’t indicate which means the person doesn’t wear a helmet. Only then does the bike get started. So, this will be the initial prevention in this design. If a severe accident occurs, the pressure sensor in the helmet detects the pressure limit, then python code executes and triggers the alert message using cloud authentication. Mobile application catches the trigger and obtain the device’s location and sends the alert message to nearby hospitals, relations. There will also be a buzzer sound to alert the nearby people to draw attention, even if it is unable to send an alert message. If there is a mild accident and no injury, there will be a reset button to cancel the sending of the alert messages using a secret PIN.

Published by: Karthik B.

Author: Karthik B.

Paper ID: V7I5-1151

Paper Status: published

Published: September 4, 2021

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Others

Supercharge the dopamine naturally for a good feel

“Happiness depends on ourselves.” More than anybody else. Yes when an exogenic force shakes our mental equilibrium to drop down, we must be aware to reboot with our God’s pharmacy app that is inbuilt in our body. Dopamine also plays a big role in our ability to think, plan, focus, and engage in activities; it drives motivation. If dopamine levels are low, we may struggle with motivation or feel a little down. Thankfully, there are some incredible ways to increase dopamine levels naturally. So, let us dive into the natural mood-boosting hacks that will drive us to positivity and success. This article scribes down to unveil the ways to boost our hanging android that is sad and sorrows, weary and worn out by just activating the hormone app that is inbuilt as God’s Pharmacy.

Published by: Dr. Esther John, Priscilla Prabu

Author: Dr. Esther John

Paper ID: V7I5-1136

Paper Status: published

Published: September 4, 2021

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Research Paper

Pareto-optimal phylogenetic tree reconciliation considering duplications, transfers, losses, and incomplete lineage sorting

A phylogenetic tree is a representation of the evolutionary histories of different species from which the gene tree is constructed from some specific sequence of copies of genes that are sampled from a group of species. For some biological events like gene Duplication (D), Horizontal Gene Transfer (T), Loss (L), and Incomplete Lineage Sorting (ILS), with the passage of time, the history of gene evolution and species evolution might show discord in most cases. Though many researchers do not account ILS event as discordance between a gene tree and species tree because, in theory, ILS is not a true “gene event” such as duplication or a transfer, since nothing “happens” to the gene during incomplete lineage sorting. But still, this phenomenon can lead to a gene tree differing from the species tree just like speciation acts on populations. Reconciliation is a process of resolving a disagreement between gene and species tree with the least possible evolutionary event costs. Addressing this problem (not accounting ILS event), we propose an efficient Pareto-optimal algorithm to reconcile a binary gene tree with binary species tree under Duplication, Transfer, Loss and Incomplete Lineage Sorting parsimony criterion, which is the extension of the previous Pareto-optimal algorithm developed by Libeskind-Hadas et al., 2014[12]. Through this research, it has been shown that how to properly cost DTL events considering ILS event and then give a fixed-parameter tractable (FPT) algorithm which calculates the most parsimonious Duplication (D), Horizontal Gene Transfer (T), Loss (L), and Incomplete Lineage Sorting (ILS) reconciliations. Comparing with the previous Pareto-optimal algorithm, the space complexity will remain the same after considering the ILS events. This is the first Pareto-optimal reconciliation algorithm to consider all of the four evolutionary processes driving tree incongruence.

Published by: Rahnuma Tasmin, Dr. Md. Abul Kashem Mia

Author: Rahnuma Tasmin

Paper ID: V7I4-1862

Paper Status: published

Published: September 4, 2021

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Research Paper

Rake- A cross-platform digital product

Rake is a cross-platform release-ready digital product that is a production-level app, making use of all the latest Firebase technologies. This app uses Firebase MLKit, Firebase Firestore & Firebase Authentication for its core functionality. It also uses libraries like Retrofit, Glide, GSON, and more third-party libraries for other functionalities. Firebase MLKit is used to recognize handwriting and text in images, objects in images, and also scan barcodes. This contributes to the main purpose of our app, which labels images and provides the user with context-aware actions of what the user can do next. Firebase Authentication is used to authenticate and help users log in & signup into the app. This uses OAuth 2.0 under the hood, so it is a very secure mechanism for login. Firebase Firestore is used as a database to store the user’s scanned data so that he can refer to it for later use. We’re also using our own custom TensorFlow Lite model, named ‘mobilenet’, to detect images. The app can be accessed via the web portal as well. Firebase Authentication lets the user login on to the web portal, which can be found at the rake.now.sh, and give the user access to his data on Firebase Firestore. This extended functionality where the user can access his data enhances the ease of use and makes sure that the user doesn’t always need a mobile device to see his previously scanned data.

Published by: Ganavi J., Amith S. Bharadwaj

Author: Ganavi J.

Paper ID: V7I5-1164

Paper Status: published

Published: September 4, 2021

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