DSACSS: Deep Learning-based spectrum allocation with cooperative spectrum sensing for cognitive WSNs
The incorporation of intelligence into wireless sensors is a contemporary paradigm for boosting the effectiveness of wireless sensor networks (WSNs) and the effective use of the radio frequency spectrum. The existing traditional distribution of radio frequencies leads to coexistence issues or resource underutilization. Cognitive sensors with adjustable spectrum sharing might be used to solve this problem. In this field, spectrum management includes spectrum sensing and allocation. Several techniques have been developed to address these issues but complexity and throughput remain a challenging tasks for these networks. In this work, these issues have been addressed and developed a combined approach for spectrum sensing, spectrum allocation, and cluster head selection to improve the overall spectrum utilization and improve the energy utilization. Moreover, the proposed scheme also adapts the deep learning scheme to identify the spectrum of information based on historical patterns. The comparative analysis shows that the proposed approach shows better spectrum detection performance in comparison with KMeans, GMM, KNN, DAG-SVM approaches.
Published by: Vidya E. V., B. S. Shylaja
Author: Vidya E. V.
Paper ID: V8I2-1217
Paper Status: published
Published: April 12, 2022
The Classic Launcher Two-Wheeler Showroom Android Application
The Classic Launcher is a bike display area android application, which can deal with all client subtleties carefully. Individuals are dealing with issues due to the disconnected framework like adjusting dates get due, likewise deal with issues while buying the vehicle. Till the current ten years, there isn't an android application for the bike display area. Help individuals by saving their time, and get their decision vehicle with shading, the frill is likewise accessible on the web. So this application helps in buying vehicles, don't bother keeping page receipt, save individuals time with pick and drop home assistance, online accessible 24*7.
Published by: Sakshi Mahalle, Shivani Dahake, Bhagyashri Ghatol, Renu Ingle, Vaishnavi Khandekar, Sunpreet Kaur Nanda, Vaishali Bhagat
Author: Sakshi Mahalle
Paper ID: V8I2-1238
Paper Status: published
Published: April 11, 2022
Employee management system using spring boot and react JS
In this era of technological developments, people tend to use more sophisticated data management with good performance. Web Pages are the face of the Internet, which helps users to access information across the Internet. Web Pages are made by developing them using various tools and technology stacks like HTML defines the structure, CSS decorates the structure, JavaScript Enables us to have Dynamic Web Pages or Applications, One of the famous stacks which are put to usage for decades is the JEE of Java and Spring with Spring Boot. Therefore these latest technologies named Spring Boot and React are playing a very prominent role in managing the data. Sprint Boot is considered a lightweight framework and helps in retrieving and storing the data with less complexity. React JS is extremely competent and handles dependencies. Our model helps in managing employees' data in a database with Sprint boot as backend and react JS as front end. Axios are used to connect the frontend with the backend.
Published by: Alluri Harshika
Author: Alluri Harshika
Paper ID: V8I2-1252
Paper Status: published
Published: April 8, 2022
Intrusion detection system
An intrusion Detection System (IDS) is defined as a device or software program that monitors network or system activities and detects if a dangerous activity is taking place. The rapid growth and use of the internet raise concerns about how to communicate and protect digital information securely. In today's world, hijackers use various forms of attack to obtain valuable information. Many intrusion detection techniques, methods, and algorithms help detect such multiple attacks. The main purpose of this paper is to provide a comprehensive study of the access, the types of access methods, the types of attacks, different tools and techniques, research needs, challenges, and ultimately the development of the IDS Research Tool Tool.
Published by: Rahul Kumar, Pradeep Kumar Mishra, Harsh Jha, Aman Raj, Nishat Fatima
Author: Rahul Kumar
Paper ID: V8I2-1250
Paper Status: published
Published: April 8, 2022
An analysis of noise reduction for sputum smear microscopy images
Sputum smear microscopy is a primary tool used for the diagnosis of pulmonary TB diseases. Due to its accessibility, minimal bio-safety standards, and cost-effectiveness, the latter is the most preferred test in low- and middle-income countries [26]. De-noising is a fundamental challenge in microscopy image processing because the images are highly corrupted by salt and pepper noise while transmitting. This paper makes a survey on five methods that can be efficiently applied in de-noising the sputum smear microscopy image processing tasks. The five de-noising methods to publish the survey are namely LCD, GPPCM, IMF, ASWMF, and SAF-RGM. The effectiveness of this survey comes along with the metrics such as Peak Signal noise, Root Mean square Error, and the Mean Structure Similarity Index. Many methods for rebuilding spotless images from noisy versions have been proposed. Both the methodology and the outcomes of these methods are dissimilar. This assessment work presents a broad study on image de-noising and suggests a number of promising future research directions.
Published by: A. Amala Shiny, Dr. B. Sivagami
Author: A. Amala Shiny
Paper ID: V8I2-1242
Paper Status: published
Published: April 7, 2022
Performance analysis of DC Micro-grid using distributed energy sources
The hunt for a replacement, safe and stable renewable energy supply junction rectifier to the thought of operational controls are designed to support the combination of wind and alternative energy among small grids. With the event of renewable energy like chemical element energy, renewable energy provides are a very important part of the DC microgrid. A mass model of renewable wind and solar energy generation forecast is planned to support the quantification of the operational reserve for day-ahead and period programing. Then, droop management for power electronic converters connected to battery storage is developed and tested. Compared with the present droop controls, it's distinguished therein that the droop curves are set as perform of the storage state-of-charge (SOC) and may become uneven. The difference of the slopes ensures that the ability output supports the terminal voltage whereas at an equivalent keeping the SOC within a firing range of desired operational reserve. This is often shown to take care of the equilibrium of the microgrid period offer and demand. The controls are enforced for the special case of a dc microgrid that's vertically integrated among a high-rise host building of a geographic area. Antecedently untapped wind and alternative energy are harvested on the roof and sides of a tower, thereby supporting delivery to electrical vehicles on the bottom. The microgrid vertically integrates with the host building while not making an outsized footprint.
Published by: Gitanjali D. Atwal, Dr. P. J. Shah
Author: Gitanjali D. Atwal
Paper ID: V8I2-1243
Paper Status: published
Published: April 7, 2022
