scholarly journals Automated Menu Planning Algorithm for Children: Food Recommendation by Dietary Management System using ID3 for Indian Food Database

2015 ◽  
Vol 50 ◽  
pp. 197-202 ◽  
Author(s):  
Ashvini Kale ◽  
Nisha Auti
Keyword(s):  
Management System ◽  
Dietary Management ◽  
Menu Planning ◽  
Planning Algorithm ◽  
Indian Food

scholarly journals Accident Management System Based on Vehicular Network for an Intelligent Transportation System in Urban Environments

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Yusor Rafid Bahar Al-Mayouf ◽  
Omar Adil Mahdi ◽  
Namar A. Taha ◽  
Nor Fadzilah Abdullah ◽  
Suleman Khan ◽  
...  
Keyword(s):  
Real Time ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Traffic Management ◽  
Management System ◽  
Vehicular Ad Hoc Networks ◽  
Road Traffic ◽  
Route Planning ◽  
Accident Management ◽  
Planning Algorithm

As cities across the world grow and the mobility of populations increases, there has also been a corresponding increase in the number of vehicles on roads. The result of this has been a proliferation of challenges for authorities with regard to road traffic management. A consequence of this has been congestion of traffic, more accidents, and pollution. Accidents are a still major cause of death, despite the development of sophisticated systems for traffic management and other technologies linked with vehicles. Hence, it is necessary that a common system for accident management is developed. For instance, traffic congestion in most urban areas can be alleviated by the real-time planning of routes. However, the designing of an efficient route planning algorithm to attain a globally optimal vehicle control is still a challenge that needs to be solved, especially when the unique preferences of drivers are considered. The aim of this paper is to establish an accident management system that makes use of vehicular ad hoc networks coupled with systems that employ cellular technology in public transport. This system ensures the possibility of real-time communication among vehicles, ambulances, hospitals, roadside units, and central servers. In addition, the accident management system is able to lessen the amount of time required to alert an ambulance that it is required at an accident scene by using a multihop optimal forwarding algorithm. Moreover, an optimal route planning algorithm (ORPA) is proposed in this system to improve the aggregate spatial use of a road network, at the same time bringing down the travel cost of operating a vehicle. This can reduce the incidence of vehicles being stuck on congested roads. Simulations are performed to evaluate ORPA, and the results are compared with existing algorithms. The evaluation results provided evidence that ORPA outperformed others in terms of average ambulance speed and travelling time. Finally, our system makes it easier for ambulance to quickly make their way through traffic congestion so that the chance of saving lives is increased.

A Dietary Management System for Collecting Chinese Food Information Using RFID Technology (Preprint)

2017 ◽  
Author(s):  
Xiaowei Xu ◽  
Ju Wang ◽  
Li Hou ◽  
Zhen Guo ◽  
Jiao Li
Keyword(s):  
Food Consumption ◽  
Management System ◽  
Eating Behaviors ◽  
Dietary Assessment ◽  
Food Composition ◽  
Dietary Management ◽  
Food Frequency ◽  
Chemical Measurements ◽  
Lunch Time ◽  
Chinese Food

BACKGROUND Dietary management is important for personal health. However, it is challenging to record quantified food information in an efficient, accurate and sustainable manner, particularly for the Chinese food consumptions. OBJECTIVE This study aims to develop a dietary management system to record Chinese food information, which can help assessing individuals’ dietary intake and maintaining healthy eating behaviors. METHODS In Chinese diets, the foods are usually categorized as staple food (e.g., rice, steamed buns), cooked dish (e.g., cooked tomato with eggs), and soup (e.g., egg drop soup). This study proposed to use the plates embedded with RFID chips to carry Chinese foods and collect the food frequency. Moreover, the food composition and nutrients (carbohydrate, fat, fiber and etc.) were obtained according to the Chinese Recipe Database and China Food Composition Database. RESULTS To test the feasibility of the dietary management system, we applied it to collect 489 Chinese foods which were consumed in lunch time across 7 weeks. On basis of one individual’s 20-day food consumption information, we showed that our system supports statistics of the consumed food frequency, overview of the composition of chosen foods, as well as initial indications of nutrient calculation. Given a Chinese dish (e.g., Garlic Puree Cooked Pork Leg), we compared its nutrient values calculated by our method with the results of chemical measurements. CONCLUSIONS This preliminary study demonstrated the feasibility of the RFID-based dietary management for Chinese food consumption. In future, the factors (e.g., cuisine method, weight of eaten part, and auxiliary ingredient) will be investigated to improve dietary assessment accuracy.

scholarly journals Methodological problems in algorithm planning procedures of program and target management of vessel safety

2020 ◽  
Vol 2020 (4) ◽  
pp. 7-15
Author(s):  
Alexander Nikolaevich Anisimov ◽  
Desalegn Merdasa Furgasa ◽  
Vyacheslav Ivanovich Menshikov
Keyword(s):  
Management System ◽  
Safety Management ◽  
Scenario Planning ◽  
Management Procedure ◽  
Phase Sequence ◽  
Planning Algorithm ◽  
Methodological Problems ◽  
Target Management ◽  
Operation Phase ◽  
Ship Operation

The article considers the planning procedures from the part of program-targeted safety management of the ship operation used in the vessel safety management system. Efficient implementation of methods of target-oriented management system in the shipping or fishing industry in certain cases helped to obtain a significant economy of funds, achieving better centralization of control in navigation safety. It has been illustrated that the algorithm of program-target management system should include a number of sequential standard procedures which form the algorithm of management. Each procedure consists of a sequence of phases: phase of planning the scenario of ship operation, phase of determining the global goal of the management procedure; phase of transition from global goals to the sub-goals and means of achieving the management procedure; phase of obtaining expert assessments of the goals and properties of the management procedure; phase of the aggregation and assessment of goals and choice of the alternatives during formulating the management procedure. It has been stated that at the stage of scenario planning it is necessary to clearly define its structure and the list of issues to be covered; the decision-makers (ship masters) and experts are recommended to closely interact. In order to improve the quality of scenarios it is recommended to identify the most significant events that relate to the future, to develop qualitative scales for evaluating criteria. The hierarchy allows identifying the methodological problems that need to be solved to improve existing methods and create new ones for drafting the procedures. The clear and well-founded methodology of developing element sets at the levels of the hierarchy leads to a reliable, effective result. The general position has been formulated, which helps to assess the phase sequence, to develop a criterion for evaluating procedures and to highlight the most important methodological issues, which should be taken into account and solved in the procedures of the program-target planning algorithm.

scholarly journals Pre-Emptive and Non-Pre-Emptive Goal Programming Problems for Optimal Menu Planning in Diet Management of Indian Diabetes Mellitus Patients

2021 ◽  
Vol 18 (15) ◽  
pp. 7842
Author(s):  
Kiran Kumar Paidipati ◽  
Hyndhavi Komaragiri ◽  
Christophe Chesneau
Keyword(s):  
Diabetes Mellitus ◽  
Goal Programming ◽  
Linear Optimization ◽  
Optimization Models ◽  
Glucose Levels ◽  
Menu Planning ◽  
Diet Management ◽  
Indian Food ◽  
Meal Planning ◽  
Mathematical Programming Problems

Diet management or caloric restriction for diabetes mellitus patients is essential in order to reduce the disease’s burden. Mathematical programming problems can help in this regard; they have a central role in optimal diet management and in the nutritional balance of food recipes. The present study employed linear optimization models such as linear, pre-emptive, and non-pre-emptive goal programming problems (LPP, PGP and NPGP) to minimize the deviations of over and under achievements of specific nutrients for optimal selection of food menus with various energy (calories) levels. Sixty-two food recipes are considered, all selected because of being commonly available for the Indian population and developed dietary intake for meal planning through optimization models. The results suggest that a variety of Indian food recipes with low glycemic values can be chosen to assist the varying glucose levels (>200 mg/dL) of Indian diabetes patients.

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