• Title/Summary/Keyword: Ingredients analysis

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Analysis of Ingredients and biological activities confirm Process for Personalized Diet Offering Service: Basic ingredients Analysis and biological Activities of Grifola frondosa

  • Hong, Seok Chan;Hwang, You Jin;Kang, Un Gu
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.8
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    • pp.113-121
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    • 2019
  • The personalized meal service is being developed to prevent and alleviate illnesses according to the individual's health condition. However, the current meal does not provide a fully customized service to individuals and a diet that meets the consumer's information needs. The cause is the lack of information on the ingredients and the difficulty of comparative analysis between the materials. Therefore, in this study, we propose basic analysis process for basic information acquisition and database construction for food composition before providing personalized food. In this study, we investigated the content of carbohydrate, reducing sugar and protein as basic components of Grifola frondosa and investigate the content of polyphenol as a biological active ingredients. Respectively. Studies on the hypoglycemic effect of the diabetic rat model have been carried out in relation to the prevention of diseases. Based on the results of this study, it is also possible to obtain information on the basic ingredients of the food and to analyze the information on the content and activity of the biological active ingredients. Using animal models, information on disease prevention and mitigation was also available. The process introduced in this study is applied to various food materials, accumulating data, and utilizing Database, this results will be an excellent tool for providing more efficient service by providing a proper dietary composition for consumers.

Selection of Key Ingredients for Six Sigma Successful Implementation (6시그마 성공적 실행을 위한 핵심구성요소 선정)

  • Jo, Ji-Hyeon;Jang, Jung-Sun
    • Proceedings of the Korean Society for Quality Management Conference
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    • 2006.11a
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    • pp.174-180
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    • 2006
  • This study to find out key ingredients(KIs) of Six Sigma. Potential ingredients are selected from previous studies of success factors and ingredients of Six Sigma and TQM, and criteria of quality awards like MBNQA, EFQM, Deming and Korean National Quality Award(KNQA) are classified into 11 categories based on experts' opinion and affinity analysis. Irrelevant or ineffective potential ingredients are discarded by using factor analysis for the questionnaires answered by champions, MBBs and BBs of 90 Korean companies that have more than 3 years of experience in implementing Six Sigma. In addition, from the factor analysis, 3 factors are derived for each respectively except the managerial achievement category. Those 11 categories and 30 factors are defined as Six Sigma KIs.

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Implementation of Recipe Recommendation System Using Ingredients Combination Analysis based on Recipe Data (레시피 데이터 기반의 식재료 궁합 분석을 이용한 레시피 추천 시스템 구현)

  • Min, Seonghee;Oh, Yoosoo
    • Journal of Korea Multimedia Society
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    • v.24 no.8
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    • pp.1114-1121
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    • 2021
  • In this paper, we implement a recipe recommendation system using ingredient harmonization analysis based on recipe data. The proposed system receives an image of a food ingredient purchase receipt to recommend ingredients and recipes to the user. Moreover, it performs preprocessing of the receipt images and text extraction using the OCR algorithm. The proposed system can recommend recipes based on the combined data of ingredients. It collects recipe data to calculate the combination for each food ingredient and extracts the food ingredients of the collected recipe as training data. And then, it acquires vector data by learning with a natural language processing algorithm. Moreover, it can recommend recipes based on ingredients with high similarity. Also, the proposed system can recommend recipes using replaceable ingredients to improve the accuracy of the result through preprocessing and postprocessing. For our evaluation, we created a random input dataset to evaluate the proposed recipe recommendation system's performance and calculated the accuracy for each algorithm. As a result of performance evaluation, the accuracy of the Word2Vec algorithm was the highest.

What are Considered When Building Purchase Intention of Unfamiliar-Branded Cosmetics?

  • Lee, Ji-Hye;Yoh, Eunah
    • Fashion, Industry and Education
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    • v.15 no.2
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    • pp.25-35
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    • 2017
  • In this study, causal relationships of belief-attitude-purchase intention for unfamiliar-branded cosmetics (UBC) were tested based on the theory of reasoned action. Data of 249 consumers who have purchased UBC were submitted to the descriptive statistics, exploratory factor analysis, and regression analysis with SPSS. In results of exploratory analysis, three factors of beliefs on UBC were generated and titled as ingredients, publicity, and subsidiary features. In regression analysis results, ingredient factor affected attitude toward UBC while publicity and subsidiary features did not influence attitude toward UBC. It implies that consumers build their attitude toward brands focusing on ingredients that are core elements of cosmetic products. Attitude toward UBC solely influenced purchase intention while the effect of social acceptance on purchase intention was not found. In conclusion, consumers depend much on ingredients when they purchase UBC so brands newly launched or brands without reputations need to focus more on an excellence in ingredients and special functions of UBC to appeal to consumers when penetrating to the new market.

Selection of Six Sigma Key Ingredients (6시그마 핵심구성요소 선정)

  • Cho, Ji-Hyun;Jang, Joong-Soon
    • Journal of Korean Society for Quality Management
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    • v.34 no.4
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    • pp.22-32
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    • 2006
  • In these days, most of Korean industries advocates and utilizes Six Sigma as an integrated innovation tool for all their business and manufacturing processes. Six Sigma is known to bring more financial and managerial achievements than other innovation methods and tools. However, such successes are not always guaranteed. To adopt and implement Six Sigma successfully, it is necessary to grasp and understand essential characteristics of Six Sigma and then identify suitable elements and complements in consideration of vision, strategies, capability, circumstance and environment of the company. Step by step implementation plan may be built based on those ingredients. This study is to find out key ingredients (KIs) of Six Sigma. Potential ingredients selected from previous studies of success factors and ingredients of Six Sigma and TQM, and criteria of quality awards like MBNQA, EFQM, Deming prize and Korean National Quality Awards (KNQA) are classified into 11 categories based on experts' opinion and affinity analysis: management leadership, belt system, training, six sigma system, compensation, organization, corporate culture, customer focused, project selection, management of project results, and managerial achievements. Irrelevant or ineffective potential ingredients are discarded using factor analysis for the questionnaires answered by champions, MBB's and BB's of 90 Korean companies that have more than 3 years experience of Six Sigma. Also from the factor analysis, 3 factors are derived for each categories respectively except the managerial achievement category. Those 11 categories and 30 factors are defined as KIs of Six Sigma. This study also reveals that there is difference according to enterprise size, type of business, and implementation time in terms of KI's, and prioritizes KI's that an enterprise to pursue Six Sigma successfully should consider according to its characteristics.

Analysis of Medicinal Ingredients that Compose Liu Hejian's Formulae (류하간(劉河間)의 처방 구성 약재에 대한 연구)

  • Jeong, Heon-Young;Keum, Kyung-Soo;Lee, Jae-Seon;Kae, Eun-Kyung;Sa, Hee-Su;Jeon, Hak-Su;Ko, Geum-Young;Lee, Jun-Geun;Hong, Seong-Cheon
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.25 no.3
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    • pp.373-381
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    • 2011
  • Liu Hejian maintained that the six types of energy can become fire and focused on the treatment of fire and heat symptoms along with the prescriptions of cryotherapy, believing that a vast majority of disease are due to fire. In this study, we investigated the characteristics of Hejian's formulae by classifying medicinal ingredients in consideration of medicinal properties and efficacy in order to examine how many cold and hot medicinal ingredients are included in the formulae of Hejian. We analysis 848 formulae among 1,055 formulae in total, excluding 207 redundant ones, which includes 366 Sunmyunglon formulae, 223 Bomyeongjip formulae, 8 Samsolon formulae, 61 Sanghanjigkyeok formulae, 68 Sanghanpyobon formulae, 22 Sanghansimyo formulae, 103 Hwalbeopgiyo formulae, 186 Bodongbiyo formulae, and 18 Gagamyoungbisippalbang formulae. In the analysis of the frequency of using each medicinal herb after classifying medicinal ingredients of Hejian's formulae by medicinal properties, we found that cold medicinal ingredients accounted for 40%, the biggest share in the formulae, and hot medicinal ingredients accounted for around 45%, which indicates that Hejian's formulae consist of both elimination and reinforcement and cold and heat, rather than cold medicinal ingredients only. As a comparison of the frequency of using each medicinal ingredients for the formulae by efficacy, we found that clear heat medicinal ingredients, totify qi and replenish blood medicinal herbs, and activate blood medicinal ingredients were most frequently used.

Investigating herbal active ingredients and systems-level mechanisms on the human cancers (암치료를 위한 네트워크 기반 접근방식 활용 시스템 수준 연구)

  • Lee, Won-Yung
    • Herbal Formula Science
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    • v.30 no.3
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    • pp.175-182
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    • 2022
  • Objective : This study aims to investigate the active ingredients and potential mechanisms of the beneficial herb on human cancers such as the liver by employing network pharmacology. Methods : Ingredients and their target information was obtained from various databases such as TM-MC, TTD, and Drugbank. Related protein for liver cancer was retrieved from the Comparative Toxicogenomics Database and literature. A hypergeometric test and gene set enrichment analysis were conducted to evaluate associations between protein targets of red ginseng (Panax ginseng C. A. Meyer) and liver cancer-related proteins and identify related signaling pathways, respectively. Network proximity was employed to identify active ingredients of red ginseng on liver cancer. Results : A compound-target network of red ginseng was constructed, which consisted of 363 edges between 53 ingredients and 121 protein targets. MAPK signaling pathway, PI3K-Akt signaling pathway, p53 signaling pathway, TGF-beta signaling pathway, and cell cycle pathway was significantly associated with protein targets of red ginseng. Network proximity results indicated that Ginsenoside Rg1, Acetic Acid, Ginsenoside Rh2, 20(R)-Ginsenoside Rg3, Notoginsenoside R1, Ginsenoside Rk1, 2-Methylfuran, Hexanal, Ginsenoside Rd, Ginsenoside Rh1 could be active ingredients of red ginseng against liver cancer. Conclusion : This study suggests that network-based approaches could be useful to explore potential mechanisms and active ingredients of red ginseng for liver cancer.

An Automatic Cosmetic Ingredient Analysis System based on Text Recognition Techniques (텍스트 인식 기법에 기반한 화장품 성분 자동 분석 시스템)

  • Ye-Won Kim;Sun-Mi Hong;Seong-Yong Ohm
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.565-570
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    • 2023
  • There are people who are sensitive to cosmetic ingredients, such as pregnant women and skin disease patients. There are also people who experience side effects from cosmetics. To avoid this, it is cumbersome to search for harmful ingredients in cosmetics one by one when shopping. In addition, knowing and remembering functional ingredients that suit you is helpful when purchasing new cosmetics. There is a need for a system that allows you to immediately know the cosmetics ingredients in the field through photography. In this paper, we introduce an application for smartphones, <Hwa Ahn>, which allows you to immediately know the cosmetics ingredients by photographing the ingredients displayed in the cosmetics. This system is more effective and convenient than the existing system in that it automatically recognizes and automatically classifies the ingredients of the cosmetic when the camera is illuminated on the cosmetic ingredients or retrieves the photos of the cosmetic ingredients from the album. If the system is widely used, it is expected that it will prevent skin diseases caused by cosmetics in daily life and reduce purchases of cosmetics that are not suitable for you.

A Study on Importance-Performance of Tteok-bokki Selection Attribute using IPA: Foused on Chinese International Students in Jullabukdo (IPA 기법을 활용한 떡볶이 선택속성의 중요도-만족도 연구: 전라북도 중국 유학생 대상으로)

  • Park, Ki-Hong;Kwon, Young-An;Kim, Sung-Hun
    • Culinary science and hospitality research
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    • v.23 no.7
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    • pp.140-148
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    • 2017
  • The purpose of this study was to provide basic data for the development of stir-fried rice cake (Tteok-bokki) products which are suitable for the organoleptic property of Chinese people based on the analysis results of the important considerations in choosing stir-fried rice cake (Tteok-bokki) for Chinese students. As a result of analysis, it was found that the texture of stir-fried rice cake (Tteok-bokki), smell, the harmony of the rice cake and sauce, the harmony of the rice cake and ingredients, the plate of food, the size of rice cake, the shape of rice cake, the color of sauce, and the sanitary condition of the food, ingredients, and cookware have significant influence. As a result of the IPA analysis, the texture of food, the sanitary condition of the food, ingredients, cookware, and a cook were included in the first quadrant, which indicates that it is batter to maintain a good quality. Smell of stir-fried rice cake (Tteok-bokki), temperature, rice cake and ingredients were included in the second quadrant, which suggests that the importance is high, but the satisfaction level is low.