Analysis of a Fuzzy Based Security Approach for SIoT based Large-Scale Smart Environment
Large-scale smart environments (LSEs) are distributed systems that covers wide geographical area characterized by a large number of possibly heterogeneous, interacting Internet of Things (IoT) devices. Their deployment aims to provide enhanced cyber-physical services to its users, IoT allows the physical objects in daily life connect to internet and by creating an environment where these object can identify and communicate with each other through different communication methods including Wi-Fi and sensor technologies. But with LSEs there is new concept included which is Social Internet of Things (SIoT), SIoT moderates the challenges of IoT like trust,entity discovery and management by developing” social-like” relationships between the objects that search only those nodes with mutual social relations then the complexity and the time duration of the search could be drastically reduced. Now due to less approaches to develop a efficient LSEs and issues like Security and Trustworthiness are still to conquer incase of SIoT. The system includes implementation of a security system that is user friendly and can be used commercially which comprises of LSE Sensor, LSE End User, LSE Edge, where LSE Gateway(Server) acting as mediator .This paper proposed to resolve the security issues and reduction of maliciousness resulting in the increasing trustworthiness. In Proposed system there is usage of Fuzzy Logic rather than Crisp Logic that provide the user with better results and overcome the related issues by improving parameters like latency, trustworthiness factor and no of nodes detection in the system ,by addition of Fuzzy Logic and Artificial Intelligence(AI) there is analysis of sound(alerts)coming from a particular sensor thereby increasing the reliability and removing congestion.
Published by: Gayatry, Harpreet Kaur
Author: Gayatry
Paper ID: V8I3-1373
Paper Status: published
Published: June 2, 2022
Self-concept and Academic Performance in Mathematics of Senior High School Students
The study investigated the relationship between Self-concept and Academic Performance in Mathematics of Senior High School Students. The respondents of this study are the 119 senior high school students of Sugod Senior High School, Sugod Bacon District Sorsogon City. Data were collected using a 30-item self-concept questionnaire checklist adopted from the study of Peteros (2012). Their academic performances were assessed using their average rating in General Mathematics for the 1st Semester, S.Y. 2020-2021. The collected data were treated using percentage, weighted mean, Chi-square, and t-test statistics, tested at a 0.05 level of significance. Students have varying levels of self-concept along learned, organized, and dynamic which are described as moderate. Most of the students got an overall level of performance that is described as satisfactory with moderate self-concepts. The self-concept of the students along learned, organized, and dynamic are significantly related to each other. It was suggested that teachers should develop their student’s positive self-concept toward Mathematics and establish a pleasant teaching experience to enhance higher self-concept and better performance in mathematics.
Published by: Josephine Detera-Recebido
Author: Josephine Detera-Recebido
Paper ID: V8I3-1307
Paper Status: published
Published: June 2, 2022
Loan Prediction System
In the banking sector, people are applying for bank loans but the bank has limited assets which it has to grant to limited people only. Finding out to whom the loan can be granted which will be a safer option for the bank is a typical process. In today’s life, the banking industry still wants a more scrutinized predictive modeling framework. In this paper, we are proposing personal loan prediction with some key attributes and a machine learning algorithm.
Published by: K. Sonali Rao
Author: K. Sonali Rao
Paper ID: V8I3-1369
Paper Status: published
Published: June 2, 2022
Heart Diseases Analysis
The main aim of this project will be on employing neural networks to analyze cardiac disease. Patients will be divided into variable levels of coronary artery disease based on the factors such as blood pressure and other attributes. As a result, getting acquainted yourself with the data processing techniques appropriate for numerical health data and the most widely used algorithms for classification tasks is an extremely valuable use of your time, and we will do just that. Another goal of this project is to use neural networks to predict cardiac disease. Blood pressure, high cholesterol, and heart rate are all factors to consider. The most difficult problem in the medical industry is studying and diagnosing heart problems.
Published by: Satish Yalakala, Jhansy Archana Vasigani
Author: Satish Yalakala
Paper ID: V8I3-1372
Paper Status: published
Published: June 1, 2022
Design and development of pattern manipulated blouse (easy grading) with functional features
Clothing is one of the basic needs of human society. Thus the fashion Industry becomes one of the most important industries prevailing in the world. People generally expect comfort, quality, and aesthetic properties in one's clothing so as to wear it. Thus, manufacturers manufacture garments keeping in mind all these factors. As we know, there is nothing in this world that is flawless. So garments may have flaws that are been rectified in the due course and then sold in the market. Similarly, common problems faced by women while wearing a blouse are identified. Literature surveys are done to know the basics and pre-requisite needed to solve this problem. Thus, the pattern is drafted for a blouse and then it is manipulated for easy grading properties needed so as to reduce the time consumption of a customized blouse. Then the functional features like issues of stain due to sweating, and tightness in the hip region are solved. The fabric needed for the blouse and the fabric needed for the functional features added are sourced accordingly and then the new product is been manufactured
Published by: Keerthivashini M., Dr. Saravanan K.
Author: Keerthivashini M.
Paper ID: V8I3-1343
Paper Status: published
Published: June 1, 2022
Human-Computer Interface
Human-Computer Interface is diverse in several fields. But the main focus is on the computer science area. Software developers are continuously developing new products that can be very helpful to people. Day by day new technologies are coming into the market, and most people are unaware of them. People use machines or computer technology in their daily life but they don’t even understand how that machine actually works, and what is the mathematical logic that is used in a programming language behind this. Understanding a machine-only programming language is not enough, human psychology and physiology are also much important to understand how a computer system works or responds. The main objective is to develop a user-centric system that can be used by commands and the system will do the work as per the user's need and understand how the system can be more useful and efficient and effective to make tasks easy for users.
Published by: Prema Chowdhury, P. J. Santosh Kumar M.
Author: Prema Chowdhury
Paper ID: V8I3-1363
Paper Status: published
Published: June 1, 2022
