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Efficacy of pilates and MC Kenzie exercises on patients with chronic low back pain – A comparative study

The major health issue of human being is lower back pain disease caused by various Lifestyle activities and occupational adaptation. People who continue to in same poster throughout the day like computer professionals and shops may be the major victims of this chronic disease process. Objectives : The study aims to produce the different kinds of Management techniques to deal with chronic low back pain and compared their effects on the pain relieving and core muscle strengthening. Methodology: The study focused on 40 subject into two groups such as group A and group B respectively treated with Pilates and Mc kenzie exercise on management and and core strengthening. The effects of the both types of treatments more assessed by visual analogue scale, back performance scale score and Roland Morris disability questionnaire. Result and Conclusion: As per the various statistical analyses, it was found that both the methods are less effective for relieving pain and group A got effective improvement in core muscle strength. So as this study conclude that the alternative hypothesis has been accepted.

Published by: Kanagaraj R.

Author: Kanagaraj R.

Paper ID: V7I3-1804

Paper Status: published

Published: June 14, 2021

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Research Paper

The design of ultra wide band circular monopole antenna with Quad-Band Notch characteristics

A novel microstrip fed Ultra wide band (UWB) with quad notch characteristics is presented in this paper to avoid the interference of narrow bands. The proposed antenna is having the size of 55x56x1.6 mm ^3 falsified on FR4 epoxy substrate. Based on the methodologies, the first notch is created to attenuate the WiMAX (World Interoperability for Microwave Access) of range 2.94-3.7GHz by using T slot. The two rectangular slots are used to reject the INSAT (Indian National Satellite) band of the range 4.5-4.8GHz and of WLAN (Wireless LAN) band of the range 5.1-5.9GHz. These three notch band characteristics are attained by etching the notches on the radiation patch and the fourth notch is created by etching U shaped slot in the feed which attenuates the ITU (International Telecommunication Union) band of range 7.4-8.7GHz. All the simulations are performed using HFSS software. The simulated antenna yields a good impedance bandwidth of 2-11GHz with Return loss (S11) ≤ -10dB, VSWR< 2 and exhibits good radiation properties except at the notch band ranges. The peak gain of more than 2.2dBi and efficiency of above 90% is obtained from 2-11GHz excluding at the notching narrow bands.The obtained results depicts that the antenna is very well suitable for real time UWB applications.

Published by: Vaka Gayathri, Gumma Kalyani, Thulabandula Venkata Lakshmi Ravali, Nuti Ramya Krishna, Rayapati Ruchitha

Author: Vaka Gayathri

Paper ID: V7I3-1620

Paper Status: published

Published: June 14, 2021

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Research Paper

IoT Based Healthcare System

Looking at the current pandemic situation in the world, every human being's health has been a major concern. In this scenario, the best option for dealing with an epidemic is an IoT-based health monitoring system. The Internet of Things (IoT) is a recent internet trend that is becoming a popular research topic, especially in health care. The key goal of this project is to keep track of a patient's heart rate, temperature, and oxygen saturation (Spo2) in real-time. Aside from that, the device monitors the patient’s positions using tilt, temperature, humidity, and CO2 level in the room. Tilt is a core aspect of our project. The Arduino Nano is wired to all the sensors. The Arduino nano is a microcontroller that manages the system's functions. Arduino uses a Wi-Fi module to send data to an IoT platform through the ThingSpeak wireless network. In this system, Arduino uses a Wi-Fi module to send data to an IoT platform called ThingSpeak. ThingSpeak is used to store, retrieve and visualize our real-time data. So authorized individuals can access the patient's measured data from any location and take appropriate actions if it is required.

Published by: Shivani Purohit, Drashti Sojitra, Mohit Chawla, Kriti Vishesh Jaiswal

Author: Shivani Purohit

Paper ID: V7I3-1773

Paper Status: published

Published: June 14, 2021

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Research Paper

Vehicle detection and classification using Deep Neural Networks

Insightful transportation frameworks have recognized a proportion of consideration somewhat recently. In this space vehicle arrangement and restriction is the key errand. In this assignment the greatest test is to separate the highlights of various vehicles. Further, vehicle grouping and identification is a difficult issue to recognize and find in light of the fact that wide assortment of vehicles doesn’t follow the path discipline. In this article, to distinguish and find, we have made a convolution neural organization without any preparation to group and identify objects utilizing a cutting edge Deep neural organization dependent on quick locales. In this work we have considered three kinds of vehicles like transport, vehicle and bicycle for grouping and recognition. Our methodology will utilize the whole picture as information and make a bouncing box with likelihood evaluations of the element classes as yield. The aftereffects of the investigation have shown that the projected framework can significantly improve the exactness of the discovery..

Published by: Sathishkumar M., Kavya N., Kowsalya P., Nandhini G, Kaviyadharshini S.

Author: Sathishkumar M.

Paper ID: V7I3-1706

Paper Status: published

Published: June 14, 2021

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Research Paper

Video anomaly detection

Security is always a main concern in every domain, due to a rise in crime rate in crowded events or suspicious lonely areas. Abnormal detection and monitoring have major applications of computer vision to tackle various problems. Due to the growing demand in the protection of safety, security, and personal properties, the needs and deployment of video surveillance systems can catch all the anomaly and anomalies play important role in surveillance detection. Anomaly detection is used to identify the odd pattern or abnormal behaviors in the surrounding. Surveillance videos are able to capture and store a variety of anomalies in the surrounding. People detection and tracking are of important research fields that have gained a lot of attention in the last few years. Most of the time, the timely and accurate detection of video anomalies is the main objective of security applications. The video anomalies such as anomalous activities and anomalous entities are defined as abnormal or irregular events that are different from normal events happening every day. In this paper, we present how surveillance videos are used to detect anomalies.

Published by: Vishal Singh, Keyur Madane, Himanshu Sugandhi, Ankit Joshi, B. S. Satpute

Author: Vishal Singh

Paper ID: V7I3-1859

Paper Status: published

Published: June 14, 2021

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Survey Report

Offline lectures are effective tools to improve concentration

Educational institutions (schools, colleges, and universities) in India are currently based only on traditional methods of learning, that is, they follow the traditional set-up of face-to-face lectures in a classroom. Although many academic units have also started blended learning, still a lot of them are stuck with old procedures. The sudden outbreak of a deadly disease called COVID-19 caused by a coronavirus (SARS-COV-2) shook the entire world. The World Health Organization announced its pandemic. This pandemic of COVID-19 is observed in every sector around the world. This virus spread very quickly, so WHO said to take 2 feet distance & there is a need of lockdown because of this all world is locked. This pandemic situation very badly affected every sector, and it's very badly affected a student's life. Crossing this situation challenges the education system. The world and teachers were forced to move to an online method of teaching overnight. Many academic institutions that previously avoided changing their traditional educational attitudes do not have them. Options without a complete shift to online teaching and learning. Online teaching is more readily accepted. This research is highlighting the impact of COVID-19 in education and the effectiveness of offline lectures and online lectures. This study is received from 10th standard student to Ph.D. student response to an online class and investigate student’s perception of the effectiveness and concentration between online class and offline class. The method uses data analysis foreign from the questionnaires using qualitative and quantitative approaches to provide data for content analysis to find student opinion.

Published by: Manish Balasaheb Pawar, Somshankar Narasappa Maitri, Shabnam S. Mahat

Author: Manish Balasaheb Pawar

Paper ID: V7I3-1857

Paper Status: published

Published: June 14, 2021

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