IC-SCSSICI - 2023

International Conference on Smart Cities, Sustainable Infrastructure, and Civil Innovations (IC-SCSSICI)

Articles

Grading of Fruit Ripeness Using Arduino in IoT

Soumitra Das, Sk Hasane Ahammad, Sandeep Dwarkanath Pande, Ashutosh Bhatt, Dilip Kumar Jang Bahadur Saini, Purushottam Dasa,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Ripening is the process by which the growing fruit will get the required quality and palatable nature. Grading fruits play an essential role in the food processing industry because by know...Read More

Anomaly Detection Approach for Human Detection in Crowd Based Locations

Rohit Srivastava, Gunjan Chhabra,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Currently, it is challenging to find a solution for human identification in a busy area. To deal with security issues like theft, fire, or other strange incidents, private organizations also install secu...Read More

Advancements in Human-Machine Interaction: Exploring Natural Language Processing and Gesture Recognition for Intuitive User Interfaces

Michael Jones M, Swathi J, Jagan T, Naveen T, Kathiresan T, Aravinthan N,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract explores the integration of natural language processing and gesture recognition for intuitive user interfaces, advancing human-machine interaction. It examines the utilization...Read More

Enhancing Industrial Safety: Implementation of an Embedded-Based Generator Alert System in Industries

Dr Prakash T, Gokulanand P, Maheshwaran R, Nishanth Kumar E, Subas D,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

In today’s society, both electrical power demand and energy consumption are expanding at a rapid rate. Unfortunately, the development of power plants has been postponed and power t...Read More

Introducing CWDCMFE-MBRC Technique for Breast Cancer Detection: A Comparative Survey of Novel Approaches

K. Sai Krishna, Grace Kanmani Prince,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Breast cancer poses a significant public health concern for countless women worldwide. Detecting breast cancer in its early stages plays a pivotal role in enhancing patient outcomes a...Read More

Intelligent Motorbike Helmets: Sensor-Driven Speed Regulation and Safety Enhancement for Motorcyclists

Mr. Shekhar Mane, Dr. Kantilal Rane, Zunzarrao Thorat, Tukaram Sawant, Mahesh Bulhe,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Smart Helmet for Safe Driving with Speed Restrictions is a concept chosen to boost the amount of road safety amongst motorcyclists. Several countries like India and Malaysia are imposi...Read More

Plant Disease Identification Tracking and Forecasting Using Machine Learning

M.Sowmya Vani, S.Girinath, V.Hemasree, Lomada Harshavardhan, Poli Sandhya,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

How safe our food supply is and how productive our agriculture is are both significantly impacted by plant diseases. For prompt cures and efficient management of plant diseases, accura...Read More

Design of Phase Array Antenna for Enhanced Performance in 5G Communication Systems

Dr. J. Jeyavel, Dr Kantilal Rane, Shekhar M Mane, Suraj Thakur, Arman Shaikh,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

In this paper, the design of the Phase Array Antenna for the 5G application has been presented. The antenna uses multiple applications in 5G communication for multiple locations. The p..Read More

Deep Recurrent Speeded Robust Feature Learning Based Bagging Ensemble Multinomial Regressive Cancer Classification Using Mammograms

K.Sai Krishna, Dr.P.Grace Kanmani Prince,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Breast cancer is one of harmful diseases which impact the living rate of women life. There is currently no proficient way to protect the women life from breast cancer. However predict...Read More

10 GE MAC CORE Verification Driver-Module

Dr.S.P.Velmurugan, Govardhan Bandi, Tejaswee Avulapati , Venkata sai Dakshinapu, Umesh Reddy Venkatathathagari,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

The scope of this project is to build a UVM testbench – driver module by following the Objected Oriented Programming (OOP) paradigm. Under the OOP paradigm, the testbench isations of AI and IoT in Tata Steel's operations and how they are contributing towards achieving the SDGs. The study discovered that Tata Steel has introduced several AI- and IoT-based technologies to increase operational effectiveness and lessen its environmental impact. These solutions have aided the business in achieving various SDGs, including those relating to Communities and cities that are environmentally friendly, clean energy, and conscientious consumption and manufacturing. The study also identified certain challenges faced by Tata Steel in implementing AI and IoT technologies, such as the high costs and lack of skilled personnel. However, the company is actively working towards addressing these challenges and scaling up its AI and IoT-based solutions. Overall, this project work provides valuable insights into how AI and IoT can be effectively utilized by industries towards achieving the SDGs, with Tata Steel serving as a notable example. Policymakers, business executives, and researchers can all benefit from this study's conclusions.

Enhancing security in the deep neural networks to generative adversarial networks

Sri Bhargav Krishna Adusumilli, Harini Damancharla

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

The Adversarial generative networks (GANs) can be used to increase safety of deep neural networks in huge style of approaches for the duration of many factors of the AI studies, together with picture recognition, herbal language processing, and healthcare. The problem, but, is that adverse attacks can bring about incorrect predictions while small, imperceptible modifications are made to input information. This vulnerability must be addressed before DNNs may be deployed in protection-important applications.