‘Impact Of Corporate Wellness Programs on Wellbeing of Women Employees in India’ In Business, Management and Economics Engineering Journal ISSN 26692481, by Dr. Mona Sahay.
TITLE OF INVENTION: A System for Menstrual Hygiene Management and method thereof
Objectives of the Patent:
To study the awareness of Menstrual Hygiene Management among female students of IPEM, Ghaziabad, to study the Menstrual Hygiene Management practices adopted by female students of IPEM, Ghaziabad and to find out the challenges in adopting Menstrual Hygiene Management practices by female students of IPEM, Ghaziabad.
Summary
We have to do more to break taboos and make it a reality for every girl in India. Providing access to these basic necessities is crucial for ensuring menstrual health and dignity for all women and girls. Educating communities on menstrual health is also important to end the stigma and shame often associated with menstruation. There is a lot that needs to be done for women; unfortunately basic hygiene is most neglected in women. Women especially in rural area are confined to their homes and depend on male or elderly female household members for procuring sanitary products.
Application Number: 202311018335
Date of Filing: 17/03/2023
Publication Date (U/S 11 A): 12/05/2023
APPLICANT NAME
Assistant Professor, Department of Management, Institute of Professional Excellence and 2 Management, Ghaziabad, Uttar Pradesh
Assistant Professor, Department of Management, Institute of Professional Excellence and 2 Management, Ghaziabad, Uttar Pradesh
Associate Professor, Department of Management, Institute of Professional Excellence and Management, Ghaziabad, Uttar Pradesh
Assistant Professor, Department of Management, Institute of Professional Excellence and Management, Ghaziabad, Uttar Pradesh
Assistant Professor, Department of Computer Application, Institute of Professional Excellence and Management, Ghaziabad, Uttar Pradesh
Assistant Professor, Centre for Teacher Education, Institute of Professional Excellence and Management, Ghaziabad, Uttar Pradesh
Assistant Professor, Department of Law, IPEM Law Academy, Ghaziabad, Uttar Pradesh
Online teaching-learning in the pandemic scenario and it’s impact on pupil-teachers in terms of motivation, in the UGC Care listed Journal, Madhya Bharti, ISSN 0974-0066,vol. 85, issue July-December 2023, by Ms. Parul Tyagi and Mr. Mohit Kumar Bharti
Research & Development Cell, Institute of Professional Excellence and Management, Ghaziabad (Dr. Sugandha Goel, Dr. Divya Rana, Dr. Mona Sahay, Dr. Suruchi Satsangi, Ms. Supriya Sharma, Ms. Viditi Rastogi & Ms. Priyanka Gupta) published a patent on its invention entitled “A System for Menstrual Hygiene Management and method thereof” on 12th May, 2023. (Patent No.: 202311018335)
Title: An Internet of Things-based System for Analyzing the impact of work-life balance on industrial productivity
Applicant Name: Ms. Shweta Sharma, Assistant Professor, Department of Computer Applications, IPEM College
Application Number: 202311020397
Date of Filing: 23/03/2023
Publication Date: 19/05/2023
Objectives of the Patent:
The objective of the Internet of Things (IoT)-based system is to measure and analyze the impact of work-life balance on industrial productivity. This involves collecting data from various IoT devices to assess factors such as employee activity, stress levels, work hours, and lifestyle habits. By analyzing this data, the system aims to identify correlations between work-life balance and productivity, helping businesses optimize their work environments and policies to enhance overall efficiency and employee well-being.
Summary
This IoT-based system aims to evaluate the influence of work-life balance on industrial productivity. By employing IoT devices to gather data on employee activities, stress levels, work hours, and lifestyle choices, the system provides insights into how these factors intersect with productivity levels. The analysis enables businesses to optimize work environments and policies to enhance both productivity and employee well-being.
Title: An AI and IOT-based System to maximize efficiency in the Healthcare Sector
Applicant Name: Mr. Girish Bansal, Assistant Professor, Department of Computer Applications, IPEM College
Application Number: 202311084133
Date of Filing: 09/12/2023
Publication Date: 19/05/2023
Objectives of the Patent:
The current idea relates to a machine learning (ML) and Internet of Things (IoT) approach for patient health monitoring. The main goal of early notification of any unanticipated changes in an individual’s health was creating this technology. It could be challenging for patients to regularly record and share their heart rate data as directed by their doctors. This is the main difference with the current invention. The majority of people must deal with excruciating psychological and physiological changes since they are by themselves when horrible things 10 occur.
Summary
The current idea relates to a machine learning (ML) and Internet of Things (IoT) approach for patient health monitoring. The main goal of early notification of any unanticipated changes in an individual’s health was creating this technology. It could be challenging for patients to regularly record and share their heart rate data as directed by their doctors. This is where the inventiveness of the present truly shines. The majority of people must deal with excruciating psychological and physiological changes since they are by themselves when horrible things 10 occur. These kinds of situations will greatly benefit from the new technology. A small number of sensors allow us to monitor the complete human body.
Title: A smart system using air quality sensors to detect fire pollution the internet of thing
Applicant Name: Mr. Girish Bansal, Assistant Professor, Department of Computer Applications, IPEM College
Application Number: 202311082251
Date of Filing: 03/12/2023
Publication Date: 12/01/2024
Objectives of the Patent:
In recent days, forest fires have become more common in several regions throughout the globe. Public records show that one of the worst and most devastating forest fires ever recorded occurred in California in 2018, destroying 18,000 homes and killing 85 people.
Summary
Drone data can be used to predict the likelihood of a forest fire using machine learning algorithms. A drone system with IoT capabilities is able to identify forest fires and collect data for examination by the application of mechanical parts, micro-electrical systems, and sensors. Drone footage obtained from the air is used to determine whether people need to be evacuated in an efficient manner. Aerial footage shows how fast more rescue crews arrived. With the help of thermal and regular cameras, the personnel can more easily see the landscape and carry out their duties in high-smoke environments, such as during a forest fire.
A-13/1, South Side G.T. Road Industrial Area, NH-9 By Pass, Ghaziabad, U.P.-201010
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