Evaluate the effectiveness of video assisted teaching programme on knowledge and practice regarding breast feeding technique among primipara postnatal mother
Breast feeding immediately after delivery encourages the “bonding” of the mother to her infant. Initiation of breastfeeding, it is the first contact and first breastfeed. Objectives- To assess the knowledge and practice of primipara postnatal mothers regarding breast feeding technique in terms of pre and post –test scores in experimental groups and control groups. To evaluate the effectiveness of the video assisted teaching programme by comparing pre –test and post test knowledge and practice scores. To assess the correlation between knowledge and practice. Methodology-.A quantitative approach and quasi-experimental research design (pre-test, post-test, control group) was used for the study. Sample size was 60 primi para postnatal mothers 30 in control group and 30 in experiment group and sampling technique used was non probability sampling (Purposive sampling) technique Independent variables video assisted teaching breast feeding technique. Self Structured Knowledge Questionnaire was prepared with 40 questions and observation checklist for practice Questionnaire was prepared with 30 questions to collect the data and data was analyzed by descriptive and inferential statistics. Results-In pre test experimental group 17(56.7%) , 13(43.3%) had average ,good knowledge and none of them having below average and very good knowledge . In post test experimental group 20(66.7%), 8(26.7%) and 2(6.7%) good , very good average knowledge and none of them having below average. In pre - test control group 19(63.3%), 11(36.7%) had average, good knowledge and none of them having below and very good knowledge. In post - test control group 15(50.0%), 15(50.0%) average, good knowledge and none of them having below average and very good knowledge In pretest experimental group 24 (80.0%), 6(20.0%) had adequate, inadequate practice. In pretest control group 17(56.7%), 13(43.3%) had inadequate moderate adequate practice regarding. In post -test experimental group 23 (76.7%),7(23.3%) had adequate moderate adequate practice and0(0%)had inadequate practice. In pretest control group 19(63.3%) 11(36.7%) had moderate inadequate practice and 0 (.0%) had adequate practice The comparing pre and post test knowledge and practice in experimental group was found in the pre test 20.27 ± 3.45 and post test 28.50 ± 3.79.the pre vs post paired t ‘test value 36.877.In control group on knowledge was found in the pre test 19.97± 3.01 and post test 0.767± 0.86 pre vs post paired t ‘test value 4.892. In experimental group on practice score of mothers was found in the pre test 14.60 ± 3.69 and post test 22.90 ± 3.60. the pre vs post paired t ‘ test value 28.027.In control group on practice score of mothers was found in the pre test 11.43±3.29 and post test 12,20±.49 .The pre vs post paired t ‘ test value 6.185.There was no correlation coefficients were not significant in pre-post knowledge and practice in experiment and control group.
Published by: Jaswinder Kaur, Dr. Rajwant Kaur Randhawa, Dr. Priyanka Chaudhary
Author: Jaswinder Kaur
Paper ID: V7I3-1543
Paper Status: published
Published: May 28, 2021
Automated framework for detection of Face mask and Social distancing
COVID-19's global pandemic has had a massive effect on global health, impacting over 139 million people worldwide. Wearing face masks and keeping a 2-meter gap between each other will help to avoid the spread. We propose a computer vision-based pathogen for creating a protected environment that contributes to public safety that focuses on real-time automatic surveillance of people in public places in order to recognize face masks, healthy social distance, and normal body temperature. When any of the above conditions are breached, the device sends out an alert to the authorized person. As a result, the proposed method saves time and slows the spread of the corona virus, all of which are beneficial to society. It may be useful in the current case, where the lockout is being eased to allow people to be inspected in public areas, shopping malls and other locations.
Published by: Sandhya M. S., Dr. Bhavanishankar K.
Author: Sandhya M. S.
Paper ID: V7I3-1540
Paper Status: published
Published: May 28, 2021
Timely Detection of Fire and Animal Intrusion in Agricultural Land Using IoT and CNN
Agricultural fields near forest areas often become the centre of human-animal conflict. Due to increased deforestation and destruction of wild-life habitat, animals venture out of forest areas in search of food. Other major consequence of deforestation is forest fire and poaching. As solution to the issues specified, technology can help to detect and warn potential human-animal interference near forest areas. On detection of fire near the agricultural land, pump is turned on automatically to put off the fire. On detection of movement through IR sensor, camera is turned on to identify the animal or human intruder using YOLO (You Only Look Once) algorithm. If an animal is detected, animal specific sound repellent is played to drive the animal away. If any human with weapons is identified, then an alarm is raised to alert neighbours of possible poacher and intruder. The farmer is alerted by means of an alert message.
Published by: Sambhavi K. P., Dr. Girijamma H. A.
Author: Sambhavi K. P.
Paper ID: V7I3-1539
Paper Status: published
Published: May 28, 2021
Morse code based Secured Authentication System using Eye Blink through Haar Cascade and Facial Landmark Algorithm
Personal Identification Numbers (PIN) are widely used for user authentication and safety for security reasons. Users must enter a physical PIN to use PIN-based password authentication, which can be susceptible to password cracking or hacking. This model includes a real-time application for gaze-based PIN input, eye recognition and tracking, and a smart camera for Morse code PIN identification. To overcome the existing limitation, we proposed a security system in two features, one is PIN authentication using eye blinks PIN entry with Morse code, and other one is provides a safer password entry alternative. Finding the eye blinks through the Morse code, in which numbers are represented in points and dashes, which will be used to make the password authentication and creating the PIN is referred to as eye blinks-based authentication. Enhancing the conventional PIN entry by adding eye-blink based PIN entry with Morse code to provide an additional level of security is the motivation behind this work.
Published by: Renuka N., Devaraju B. M.
Author: Renuka N.
Paper ID: V7I3-1538
Paper Status: published
Published: May 28, 2021
Management system to minimize loss of data and time wastage in library
Manually managing library operations wastes time and adds needless tension to the situation. In light of the above, the computerized framework for managing library activities allows the best possible use of available library manpower and resources for the benefit of users. The aim of this design is to provide solutions to the challenges that manual library systems face. The Library Management System and the Online Library System are also included in this comprehensive design. It's a website that makes it simple for students and staff to use the library while also automating library processes by keeping track of library resources and automatically allocating them.
Published by: Souvik Biswas, Neha Bhattacharya, Ananya Samanta, Nitin Gupta, Sangita Roy
Author: Souvik Biswas
Paper ID: V7I3-1537
Paper Status: published
Published: May 28, 2021
Digital Supply Chain Network – Is it a pre-requisite for Joining the Global Supply Chain for Automotive Industry
Advancements in computing processing and memory are spurring enterprises to come up with innovative digital technologies and a capabilities-paving way for Industry 4.0, the fourth industrial revolution. The emergence of distributive technologies, cognitive computing and machine learning (artificial intelligence), and modern sensor networks is creating a foundation for business analytics and the communication between the physical and digital worlds. This has transformed the ancient linear supply chains into more intelligent, connected, customizable, scalable, and nimble digital supply chain networks. The management of the digital supply chain network now constitutes a collection of insights from connected assets, sensors, and distributed data to steer applicable advancements through digital and analytical solutions.
Published by: Akshay Kaushal
Author: Akshay Kaushal
Paper ID: V7I3-1536
Paper Status: published
Published: May 28, 2021
