Home > Computer Science > Cognitive Science > Volume-3 > Issue-5 > Food Intake for Body Weight Management System using Linear Programming Model

Food Intake for Body Weight Management System using Linear Programming Model

Call for Papers

Volume-5 | Innovative Development on Academic Research and Development during Covid 19

Last date : 27-Apr-2021

Best International Journal
Open Access | Peer Reviewed | Best International Journal | Indexing & IF | 24*7 Support | Dedicated Qualified Team | Rapid Publication Process | International Editor, Reviewer Board | Attractive User Interface with Easy Navigation

Journal Type : Open Access

Processing Charges : 700/- INR Only OR 25 USD (for foreign users)

First Update : Within 7 Days after submittion

Submit Paper Online

For Author

Research Area



Food Intake for Body Weight Management System using Linear Programming Model


Phyu Phyu | Thin Thin Swe



Phyu Phyu | Thin Thin Swe "Food Intake for Body Weight Management System using Linear Programming Model" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5, August 2019, pp.1623-1627, URL: https://www.ijtsrd.com/papers/ijtsrd26735.pdf

From health surveys for public, the overweight condition of people happens frequently due to three causes: eating too much, exercising too little, and eating incorrectly. For the normal person, it is difficult to know the situation means that acquiring and maintaining a healthy body weight. Therefore, this system tries to help the users to achieve a balanced diet in body weight management. For the body weight management system, the appropriate recipe will be calculated by linear programming for the users. To achieve a balanced diet with low calorie, the system can generate a recommended recipe for dinner, which intends to meet users’ nutritional requirement according to their intake of breakfast and lunch. For the body weight management system, the appropriate recipe will be calculated by integer linear programming for the users. To achieve a balanced diet with low calorie, the system can generate a recommended recipe for dinner, which intends to meet users’ nutritional requirement according to their intake of breakfast and lunch.

linear programming, body weight management


IJTSRD26735
Volume-3 | Issue-5, August 2019
1623-1627
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

Thomson Reuters
Google Scholer
Academia.edu

ResearchBib
Scribd.com
archive

PdfSR
issuu
Slideshare

WorldJournalAlerts
Twitter
Linkedin