N. Funabiki, Y. Matsushima, T. Nakanishi, Kan Watanabe
{"title":"An extension of menu planning algorithm for two-phase homemade cooking","authors":"N. Funabiki, Y. Matsushima, T. Nakanishi, Kan Watanabe","doi":"10.1109/GCCE.2013.6664853","DOIUrl":null,"url":null,"abstract":"Nowadays, many people keep busy lives due to working in companies, studying in schools, or taking care of children or senior parents. As a result, it has become very hard for them to cook foods for suppers by themselves at home after long-hour duties at daytime in weekdays. Previously, to assist homemade cooking of such busy people, we proposed a two-phase cooking such that the preparation phase of cooking foods that they will eat on the following weekdays is performed on a weekend, and the finishing phase for the foods for a supper is completed on the day in short time. Then, we presented a menu planning algorithm to assist generating one-week menus for this two-phase cooking. Unfortunately, we found that this algorithm has the following drawbacks in practical use: 1) the selection of food preference is not easy, 2) the use of preferred ingredients for cooking cannot be directly specified, and 3) the nutrition balance of foods in a menu is not considered. In this paper, we extend this algorithm to solve them by newly defining a preference index and the food balance guide by Japanese government. We verify the effectiveness of the extended algorithm through generating five-day menus from 241 food candidates.","PeriodicalId":294532,"journal":{"name":"2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCCE.2013.6664853","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Nowadays, many people keep busy lives due to working in companies, studying in schools, or taking care of children or senior parents. As a result, it has become very hard for them to cook foods for suppers by themselves at home after long-hour duties at daytime in weekdays. Previously, to assist homemade cooking of such busy people, we proposed a two-phase cooking such that the preparation phase of cooking foods that they will eat on the following weekdays is performed on a weekend, and the finishing phase for the foods for a supper is completed on the day in short time. Then, we presented a menu planning algorithm to assist generating one-week menus for this two-phase cooking. Unfortunately, we found that this algorithm has the following drawbacks in practical use: 1) the selection of food preference is not easy, 2) the use of preferred ingredients for cooking cannot be directly specified, and 3) the nutrition balance of foods in a menu is not considered. In this paper, we extend this algorithm to solve them by newly defining a preference index and the food balance guide by Japanese government. We verify the effectiveness of the extended algorithm through generating five-day menus from 241 food candidates.