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Research Paper

Periodicity of the Probability Distribution of a Particle in a Box

We consider a particle in a two-dimensional infinite potential square well in states that are superpositions of either two or three energy eigenstates. These have probability distributions that are periodic in time. We compute the periods in both cases and simulate the time dependence of the probability distributions.

Published by: Jettae Schroff

Author: Jettae Schroff

Paper ID: V9I5-1143

Paper Status: published

Published: September 27, 2023

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Research Paper

Free-body modal analysis of a Baja SAE vehicle chassis

With the growing need to design increasingly efficient and complex systems, engineering studies are increasingly resorting to computer simulation techniques to analyze the performance and behavior of physical systems. These simulations help to reduce the time and cost of developing new projects. The aim of this article was to carry out a free-body modal simulation of the chassis of a Baja SAE off-road mini vehicle, using the finite element method. The study used Solidworks software to generate the 3D model of the chassis and Ansys software to carry out the simulations. At the end of the simulations, it was possible to see that the chassis structure has natural frequencies between 36 and 86 Hertz (Hz) when the structure is free, which are different from the frequencies of the main source of forced vibration in the structure. In this way, it can be concluded that the structure does not enter the resonance phenomenon, meeting the design assumptions.

Published by: Leandro de Paula Freire, Luiz Augusto Ferreira de Campos Viana

Author: Leandro de Paula Freire

Paper ID: V9I5-1147

Paper Status: published

Published: September 26, 2023

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Research Paper

Utilizing LSTM neural networks for sentiment analysis of tweets

Deep Neural Networks are considered as one of the most powerful machine learning methods of recent times. Recurrent neural networks, including LSTM variations, exhibit exceptional performance in sequence-oriented assignments, while also falling within the domain of autoregressive models, wherein forecasts are tied to the historical input context. In this paper, we experiment with LSTM for Twitter sentiment analysis. Leveraging advances in Natural Language Processing (NLP), we show the efficacy of our algorithm with extremely competitive results.

Published by: Manan Gangwani

Author: Manan Gangwani

Paper ID: V9I5-1148

Paper Status: published

Published: September 23, 2023

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Research Paper

Vehicle Diagnostics Systems and Intelligent Failure Prediction

The automotive industry's rapid growth has led to increased vehicle numbers and subsequently higher failure rates. Conventional diagnostics react to failures, lacking preventive capabilities. Current On-Board Diagnostics are no longer sufficient, necessitating upgrades. To address this, I propose implementing Internet of Things (IoT) devices and Deep Learning Models to predict failures in advance, saving costs and avoiding mishaps. These models utilize historical data and vehicle tests to establish threshold values, triggering warnings if the system detects potential failures. The system comprises an OBD device sending data to a remote server, which updates a dashboard with real-time failure alerts.

Published by: Suyash Pustake

Author: Suyash Pustake

Paper ID: V9I5-1142

Paper Status: published

Published: September 23, 2023

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Review Paper

Use of biochar as an additive in concrete

Biochar is a high-carbon product produced by the thermal decomposition of organic biomass in an oxygen-free environment. It is mainly used for soil improvement and fertilization purposes, but this study aims to explore the possibility of using biochar as an additional benefit to concrete, which is often used as a material by humans. A literature review revealed several studies in which biochar was successfully used as an additive. The good effect of biochar on the mechanical properties of concrete is based on its nucleation and densification effect, but the internal microstructure, porosity, and chemical composition of biochar mainly depend on the raw material, product, and production type. These tests include investigating the effect of adding different concentrations and amounts of biochar and the cement substitution level on the new product and concrete material, as well as investigating the cement content and the energy balancing potential for the concrete mix.

Published by: Soundarya Das, Vishnu Gurudutt

Author: Soundarya Das

Paper ID: V9I2-1408

Paper Status: published

Published: September 16, 2023

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Research Paper

“Enabling sustainable water resource management through dynamic spatial planning in Visakhapatnam city”

Urban evolution is at the heart of this discussion, where site-specific art's transformation prompts the emergence of alternative viewpoints and strategies in response to its dwindling conventional impact. The ongoing discourse on site specificity, its cross-disciplinary dimension, and its role as a cultural conduit are explored. The literature review delves into the interplay of site-specific art, urban dynamics, and cultural identity, navigating historical underpinnings and contemporary shifts. Focusing on urban planning in Visakhapatnam, the study employs advanced computational tools to craft an adaptable structure plan accommodating diverse growth scenarios. Methodologically, quantitative analysis using secondary sources, stakeholder engagement, GIS tools, and exemplar cases play pivotal roles. Emphasis is placed on efficient water distribution and resilient infrastructure. Collaborative urban planning emerges as a linchpin for sustainable water management in the conclusion. Ultimately, the dynamic spatial planning approach offers a roadmap for fostering urban resilience in Visakhapatnam.

Published by: Amrutha B., Saiteja Beesetti, Allu Revathi Devi

Author: Amrutha B.

Paper ID: V9I2-1447

Paper Status: published

Published: September 16, 2023

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