• 제목/요약/키워드: recipe generation

검색결과 16건 처리시간 0.027초

중국, 일본 수출을 위한 한국 전통 대표 식품에 대한 레시피 분석 (Recipe Analysis of Korean Traditional Representative Food for Export to China and Japan)

  • 손남례;정상원;한규상
    • 한국차세대컴퓨팅학회논문지
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    • 제14권5호
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    • pp.71-79
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    • 2018
  • 최근 한국전통식품은 편리하고 간편하게 섭취할 수 있도록 상품화 되어 세계로 수출되고 있다. 특히 한국전통식품은 우리나라에 지리적으로 인접한 중국 및 일본을 대상으로 선호도가 높은 대표 대표식품에 대한 레시피 연구 및 개발이 필요하다. 따라서 본 논문에서는 중국, 일본에서 한국전통식품에 대한 대표식품에 대하여 중국, 일본 포털 사이트를 이용하여 국가별로 레시피를 검색하고 수집한다. 국가별로 수집된 레시피는 레시피 DB를 구축하여 레시피 종류별로 어떤 재료가 얼마나 사용되었는지 분석하고 시각화한다. 국가별로 분석된 레시피는 향후 중국, 일본에서 한국전통식품을 상품화하는데 기초자료로 활용할 수 있도록 할 것이다.

유전알고리즘과 신경회로망을 이용한 플라즈마 식각공정의 모델링과 최적제어입력탐색 (Modeling and optimal control input tracking using neural network and genetic algorithm in plasma etching process)

  • 고택범;차상엽;유정식;우광방;문대식;곽규환;김정곤;장호승
    • 대한전기학회논문지
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    • 제45권1호
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    • pp.113-122
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    • 1996
  • As integrity of semiconductor device is increased, accurate and efficient modeling and recipe generation of semiconductor fabrication procsses are necessary. Among the major semiconductor manufacturing processes, dry etc- hing process using gas plasma and accelerated ion is widely used. The process involves a variety of the chemical and physical effects of gas and accelerated ions. Despite the increased popularity, the complex internal characteristics made efficient modeling difficult. Because of difficulty to determine the control input for the desired output, the recipe generation depends largely on experiences of the experts with several trial and error presently. In this paper, the optimal control of the etching is carried out in the following two phases. First, the optimal neural network models for etching process are developed with genetic algorithm utilizing the input and output data obtained by experiments. In the second phase, search for optimal control inputs in performed by means of using the optimal neural network developed together with genetic algorithm. The results of study indicate that the predictive capabilities of the neural network models are superior to that of the statistical models which have been widely utilized in the semiconductor factory lines. Search for optimal control inputs using genetic algorithm is proved to be efficient by experiments. (author). refs., figs., tabs.

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UV 나노임프린트 리소그래피 공정에서 레지스트 도포의 최적화를 통한 잔류층 두께의 최소화 (The Minimization of Residual Layer Thickness by using optimized dispensing method in UVnanoimprint Lithography Process)

  • 김기돈;정준호;심영석;이응숙;김지현;조영근;홍성철
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2005년도 춘계학술대회 논문집
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    • pp.633-636
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    • 2005
  • Imprint lithography is a promising method for high-resolution and high-throughput lithography using low-cost equipment. As with other nanoimprint methods, ultraviolet-nanoimprint lithography (UV-NIL) resolution appears to be limited only by template resolution, and offers a significant cost of ownership reduction when compared to other next generation lithography (NGL) methods such as EUVL and 157 nm lithography. The purpose of this paper is to suggest optimum values of control parameters of Imprio 100 manufactured by Molecular Imprint, Inc., which is the first commercially available UV-NIL tool, for sound nanoimprint. UV-NIL experiments were performed on Imprio 100 to find dispensing recipe for avoiding air entrapment. Dispensing recipe related to residual layer thickness and uniformity was optimized and 40 nm thick residual layer was achieved.

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A Study of AI Impact on the Food Industry

  • Seong Soo CHA
    • 식품보건융합연구
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    • 제9권4호
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    • pp.19-23
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    • 2023
  • The integration of ChatGPT, an AI-powered language model, is causing a profound transformation within the food industry, impacting various domains. It offers novel capabilities in recipe creation, personalized dining, menu development, food safety, customer service, and culinary education. ChatGPT's vast culinary dataset analysis aids chefs in pushing flavor boundaries through innovative ingredient combinations. Its personalization potential caters to dietary preferences and cultural nuances, democratizing culinary knowledge. It functions as a virtual mentor, empowering enthusiasts to experiment creatively. For personalized dining, ChatGPT's language understanding enables customer interaction, dish recommendations based on preferences. In menu development, data-driven insights identify culinary trends, guiding chefs in crafting menus aligned with evolving tastes. It suggests inventive ingredient pairings, fostering innovation and inclusivity. AI-driven data analysis contributes to quality control, ensuring consistent taste and texture. Food writing and marketing benefit from ChatGPT's content generation, adapting to diverse strategies and consumer preferences. AI-powered chatbots revolutionize customer service, improving ordering experiences, and post-purchase engagement. In culinary education, ChatGPT acts as a virtual mentor, guiding learners through techniques and history. In food safety, data analysis prevents contamination and ensures compliance. Overall, ChatGPT reshapes the industry by uniting AI's analytics with culinary expertise, enhancing innovation, inclusivity, and efficiency in gastronomy.

EICP 공법을 활용한 황산염 농도 저감 분석 (Analysis of Sulfate Concentration Reduction Using Enzyme Induced Carbonate Precipitation Technique)

  • 김정훈;김대현;윤태섭
    • 한국지반공학회논문집
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    • 제39권8호
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    • pp.7-16
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    • 2023
  • 본 연구는 매립지 침출수 내 황산염 농도를 저감하기 위해 친환경 지반개량 공법인 Enzyme Induced Carbonate Precipitation(EICP) 공법을 활용하였다. 황산염의 화학적 침전을 유도하기 위해 충분한 탄산칼슘을 생성함과 동시에 여분의 칼슘 이온을 남길 수 있는 최적의 EICP 혼합비가 계산되었다. 최적 혼합비로 처리된 사질토 시편에서 황산염 침전이 전단 강성도에 미치는 영향을 확인하고자 전단파 속도를 측정하였고 전단파 속도 측정은 EICP 반응 및 황산염 반응 시간동안 수행되었다. 실험 결과, 생성된 침전물에 따른 전단 강성도의 발달을 확인하였고 주사전자현미경(SEM)으로 침전물의 유형 및 패턴을 시각적으로 관찰하였다. 고순도 우레아제의 대체제로서 백태가루를 효소로 사용한 EICP 용액의 경우 고순도 EICP 용액과 동일한 탄산칼슘 생성 효율에서 보다 낮은 황산염 제거 효율을 보였는데 이는 백태가루에 포함된 불순물이 석고의 침전을 방해하기 때문이다.

신경회로망을 이용한 플라즈마 식각공정의 최적운영과 이상검출에 관한 연구 (A Study on The Optimal Operation and Malfunction Detection of Plasma Etching Utilizing Neural Network)

  • 고택범;차상엽;이석주;최순혁;우광방
    • 제어로봇시스템학회논문지
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    • 제4권4호
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    • pp.433-440
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    • 1998
  • The purpose of this study is to provide an integrated process control system for plasma etching. The control system is designed to employ neural network for the modeling of plasma etching process and to utilize genetic algorithm to search for the appropriate selection of control input variables, and to provide a control chart to maintain the process output within a desired range in the real plasma etching process. The target equipment is the one operating in DRAM production lines. The result shows that the integrated system developed is practical value in the improved performance of plasma etching process.

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베트남 소재 한식당 경영주 사례조사를 통한 한식세계화 방안 (Strategies for Globalization of Korean Food through in-depth interviews with Korean restaurants owners in Vietnam)

  • 정혜경;김미혜;김행란;김양숙;최정숙;우나리야
    • 한국식생활문화학회지
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    • 제26권4호
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    • pp.383-393
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    • 2011
  • This study aimed to identify efficient methods for the globalization of Korean food in Vietnam. For this, we interviewed owners of 11 Korean restaurants in Hanoi and 9 Korean restaurants in Ho Chi Minh. Due to the rapid economic development of Vietnam, the restaurant industry for the middle class has drastically increased. For the globalization of Korean food, new positioning of Korean restaurants is needed. Research has shown that Korean restaurants need to change their style of management. Although the first generation of Korean restaurant owners managed restaurants as a family business, a new professional management system is now required. Above all, it is necessary to develop and support a comprehensive food culture system in which the menu is suited to the taste of the natives and its recipe is distributed with food material quality control, hygienic control, and operation of a localized management system.

"기문비록(岐門秘錄)" 에 대(對)한 고찰(考察) (하(下)) (A Review on "Kimoonbirok" II)

  • 최경석;김상운;송지청;이시형
    • 대한한의정보학회지
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    • 제16권2호
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    • pp.51-88
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    • 2010
  • An empirical formula that has been empirically shown to be effective for a particular condition can be said to add medical materials to an exciting formula or to make a new prescription by Korean medical doctors' empirical clinic. This dissertation aims to study the prescriptions according to A Confidential Document of A Distinguished Medical Family and to contribute to the development of Korean medicine. A Confidential Document of A Distinguished Medical Family is a medicinal recipe that is an heirloom of the Gyeongju Kim family for the eighth generation. And the date and the writer of the book are unknown. The contents of the book consist of 18 parts and are made up of about 300 medical recipes. Of these, 153 formulas and indications of roundworm, cholera, puffy swelling, abdominal distension, phlegm-rheum, woman, child, summerheat, dryness-heat, eye, and blood are found in the book. From among these, 26 formulas are directly quoted out of The Precious Mirror of Oriental Medicine, 93 formulas are adjusted in proportion or combined and 34 formulas are empirical ones. By the parity of reasoning of the above, I think that this book was published after The Precious Mirror of Oriental Medicine.

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다층 레벨 조합논리 회로의 Net list를 이용한 Pseudo-exhaustive Test에 관한 연구 (A Study on the Pseudo-exhaustive Test using a Netlist of Multi-level Combinational Logic Circuits)

  • 이강현;김진문;김용덕
    • 전자공학회논문지B
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    • 제30B권5호
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    • pp.82-89
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    • 1993
  • In this paper, we proposed the autonomous algorithm of pseudo-exhaustive testing for the multi-level combinational logic circuits. For the processing of shared-circuit that existed in each cone-circuit when it backtracked the path from PO to PI of CUT at the conventional verification testing, the dependent relation of PI-P0 is presented by a dependence matrix so it easily partitioned the sub-circuits for the pseudo-exhaustive testing. The test pattern of sub-circuit's C-inputs is generated using a binary counter and the test pattern of I-inputs is synthesized using a singular cover and consistency operation. Thus, according to the test patterns presented with the recipe cube, the number of test pattrens are reduced and it is possible to test concurrently each other subcircuits. The proposed algorithm treated CUT's net-list to the source file and was batch processed from the sub-circuit partitioning to the test pattern generation. It is shown that the range of reduced ration of generated pseudo-exhaustive test pattern exhibits from 85.4% to 95.8% when the average PI-dependency of ISACS bench mark circuits is 69.4%.

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Antiinflammatory and antioxidative effects of Agrimonia pilosa Ledeb

  • Sim, SY;Kim, GJ;Ko, SG
    • Advances in Traditional Medicine
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    • 제7권3호
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    • pp.217-228
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    • 2007
  • Agrimonia pilosa Ledeb. has long been used for a useful natural agent ameliorating inflammation related symptoms in the folk medicine recipe. This study was performed to investigate effects of Agrimonia pilosa Ledeb.(AP) on the expression of inflammation related genes such as the inducible nitric oxide synthase (iNOS) in macrophage cell line, RAW 264.7 cells. The AP (whole plants) was extracted with 80% ethanol and sequentially partitioned with solvents in order to increase polarity. Among the various solvent extracts of AP, the n-butanol (BuOH) fraction showed the most powerful inhibitory ability against nitric oxide (NO) production in lipopolysaccharide (LPS)-induced RAW 264.7 cells without affecting cell viability. Reverse transcriptase-polymerase chain reaction and Western blot analysis revealed that the BuOH fraction provided a primary inhibitor of the iNOS protein and mRNA expression in LPS-induced RAW 264.7 cells. The DPPH and OH radical scavenging activities of the several fractions of 80% ethanol extracts of AP significantly increased by EtOAC and BuOH fractions. Thus, the present study suggests that the response of a component of the BuOH fraction to NO generation via iNOS expression provide an important clue to elucidate anti-inflammatory mechanism of AP.