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Research Paper

Blood Donation Management System

This task portrays the web-based blood gift in the executive’s framework. the fundamental goal of this application is to computerize the total tasks of the blood donation center and this undertaking is chiefly for people able to give blood. blood donation centers need to keep hundreds or thousands of records and furthermore looking ought to be extremely quick, so that, they can find required subtleties in a flash utilizing this blood gift the board framework. the principal objective is to make a site that assists them with finishing their work quicker in a straightforward manner through on the web. likewise, our undertaking contains refreshed data.

Published by: Selvinjerald S., Dr S. Venkatesh, Kishanth Kumar G., Sabari Vikram R.

Author: Selvinjerald S.

Paper ID: V8I3-1370

Paper Status: published

Published: June 3, 2022

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Research Paper

Smart Trolley System using RFID Card and Arduino

Nowadays interest in looking at malls is wide increasing among individuals. individuals get daily necessities from looking at malls. there's associated rising demand for straightforward and fast payment of bills in looking malls. Shoppers are annoyed at locating the things on the looking list when looking in looking malls and once no help is accessible in looking. To eliminate these issues, every product within the store is supplied with an RFID tag, to spot its kind. [ one] every handcart is enforced with a Product Identification Device (inflammatory disease) that contains a microcontroller, an LCD, RFID reader, and a ZIGBEE transmitter. RFID scanner can read the getting product info on the looking cart and the knowledge concerning the merchandise is displayed on an LCD that is interfaced to the microcontroller, [ 2]. At the asking counter, the full bill is transferred to the laptop at the counter facet by the victimization ZIGBEE module. [ three] during this project, the AT89S52 microcontroller is hooked up to associate an RFID reader and a barcode reader. because the user puts things within the self-propelled vehicle the reader on the self-propelled vehicle reads the tag and sends an indication to the controller. The controller then stores it within the memory and compares it with the product ID. [ four] matches, it shows the name of the item on LCD and additionally the total quantity of things purchased. Once the looking is finished, the client can press a button on the self-propelled vehicle and send the full quantity spent on the merchandise to the asking counter section victimization ZIGBEE wireless communication module. [ 5]. during this project, there's an opportunity to revert back the merchandise in keeping with our want and budget. Once you're taking back a product from the self-propelled vehicle, a similar card is once more scan by the RFID reader, then the controller can deduct the same quantity associated with its product, from the information superhighway bill quantity. The billed quantity can be received by the ZIGBEE receiver.

Published by: Roshankumar Bhagwan Yadav, Daniyal Rumane, Sunil Ambadas Shinde, Lavkush Sunil verma, Reshma Pawar

Author: Roshankumar Bhagwan Yadav

Paper ID: V8I3-1374

Paper Status: published

Published: June 2, 2022

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Others

Aggregator application for tailoring with the integration of geo-fencing to analyze customers and fashion designers

The fashion aggregator is an android application that connects the tailor and the user from their remote location. This application plays a major role in reducing time consumption by letting the user, sketch their clothing design through the developed interface designed using Interactive genetic algorithm. Also, the geofencing feature with a proactive fast low resource algorithm helps the user to locate tailors within a radius of three kilometers. The tailor application displays the orders placed by the users. The tailors are listed based on ratings given by the previous user. Once the request is accepted by the dressmaker, the tailor updates the days required to complete the task. Simultaneously the cost calculations are made through the application and displayed to the user. The user can track their order through the application. This application is developed with the help of java programming language and Google maps API along with the android studio.

Published by: Shivanandhini P. B., Shreevidya S., Sasirekha R., Reena R.

Author: Shivanandhini P. B.

Paper ID: V8I3-1371

Paper Status: published

Published: June 2, 2022

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Research Paper

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

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Thesis

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

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Research Paper

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

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