• 제목/요약/키워드: variety selection

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호텔 레스토랑의 메뉴 평가 요인 분석 연구 (한식당을 중심으로) (A Study on Restaurant Menus evaluation factors in Hotel)

  • 김기영;김선정
    • 한국조리학회지
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    • 제6권1호
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    • pp.25-55
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    • 2000
  • The Development of a new menu item in a restaurant usually begins when your chef prepares a creative "brainchild" that he serves to you, the owner. If you are satisfied with the new dish, It gets a "go-ahead" signal, under the assumption that what appeals to you will appeal to a significant number of your customers. While many excellent and successful items have been created this way, It is not reasonable to expect that your tastes can represent the wide variety of your potential guests tastes. The purpose of this study is to examine the factors that have an influence on customers′ menu evaluation. A menu is a marketing tool which delivers restaurant′s image and message to customers needs and wants to restaurant. So far, studies on menu have been done in an analytical way from a management′s viewpoint and inadequate to reflect customers′ needs and wants. In this study is to examine the factors that have an influence on customers′ menu evaluation. The factors affected the customers′ menu evaluation of hotel restaurant in the three factors. Three factors are food service factor, menu copy factor, value of food. Correlation between the evaluation of criteria and selection of menu was examined. All Three evaluation criteria have shown strong correlation with selection of menu of these criteria, menu-copy factor was found to be most strongly correlated with selection of menu. In conclusion, As a study on the Customer′s evaluation factors of the Korean restaurant menus in hotels, It raises to exert us strength in the menu management of Korean restaurant.

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소프트웨어 제품을 위한 평가 선정 모형의 조사 및 적용성에 관한 연구 (A Study on Survey and Applicability of Evaluation and Selection Models for Software Products)

  • 박호인;정호원
    • 한국정보처리학회논문지
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    • 제4권7호
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    • pp.1706-1718
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    • 1997
  • 다양한 소프트웨어 제품의 급격한 증가로 인하여 소프트웨어 제품의 평가·선정을 위한 체계적이고 객관적인 방법이 필요하게 되었다. 본 연구에서는 소프트웨어 제품의 효과적 평가·선정을 위해 평가 과정의 핵심인 가중치 부여와 모형의 선정에 중점을 둔다. 이를 위해 첫째, 계층적 분석 과정을 이용하여 평가 속성에 일관적 가중치를 부여한다. 둘째, 소프트웨어 제품의 선정 문제의 성격에 알맞은 모형을 조사${\cdot}$분류하여 모형별 장${\cdot}$단점을 분석한다. 적용 모형은 4개의 보상모형과 7개의 비보상모형으로 구성되어 있다. 선정된 모형은 특정 소프트웨어 제품(데이터베이스 모델러)에 응용되어 모형별로 제품을 평가한다. 본 연구는 가중치 부여 및 모형의 장·단점 분석과 응용 절차를 통하여 사용자의 다양한 요구사항에 대한 모형의 적용성을 제고하고자 한다.

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Evolutionary Computing Driven Extreme Learning Machine for Objected Oriented Software Aging Prediction

  • Ahamad, Shahanawaj
    • International Journal of Computer Science & Network Security
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    • 제22권2호
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    • pp.232-240
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    • 2022
  • To fulfill user expectations, the rapid evolution of software techniques and approaches has necessitated reliable and flawless software operations. Aging prediction in the software under operation is becoming a basic and unavoidable requirement for ensuring the systems' availability, reliability, and operations. In this paper, an improved evolutionary computing-driven extreme learning scheme (ECD-ELM) has been suggested for object-oriented software aging prediction. To perform aging prediction, we employed a variety of metrics, including program size, McCube complexity metrics, Halstead metrics, runtime failure event metrics, and some unique aging-related metrics (ARM). In our suggested paradigm, extracting OOP software metrics is done after pre-processing, which includes outlier detection and normalization. This technique improved our proposed system's ability to deal with instances with unbalanced biases and metrics. Further, different dimensional reduction and feature selection algorithms such as principal component analysis (PCA), linear discriminant analysis (LDA), and T-Test analysis have been applied. We have suggested a single hidden layer multi-feed forward neural network (SL-MFNN) based ELM, where an adaptive genetic algorithm (AGA) has been applied to estimate the weight and bias parameters for ELM learning. Unlike the traditional neural networks model, the implementation of GA-based ELM with LDA feature selection has outperformed other aging prediction approaches in terms of prediction accuracy, precision, recall, and F-measure. The results affirm that the implementation of outlier detection, normalization of imbalanced metrics, LDA-based feature selection, and GA-based ELM can be the reliable solution for object-oriented software aging prediction.

Phenotypic Characterization of Amaranth Resources for the Selection of Promising Materials

  • Hwang Bae Sohn;Su Jeong Kim;Jung Hwan Nam;Do Yeon Kim;Jong Nam Lee;Su Young Hong;Yul Ho Kim
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2022년도 추계학술대회
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    • pp.211-211
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    • 2022
  • Amaranth is a nutritious and broadly adapted seed crop in high demand around the world. A preliminary approach for understanding the genetics of amaranth resources entails a morphologic characterization, which can provide the basis for breeding the first variety in Korea, leading to satisfying the needs of farmers and consumers. Therefore, this study aimed to evaluate the phenotypic characteristics of ten genetic amaranth accessions for the selection of outstanding accessions in terms of yield and grain quality. A randomized complete block design was used, with fifteen replications for each accession under field conditions. Five quantitative and three qualitative descriptors were evaluated with descriptive analysis. The results showed that the accessions with plant heights smaller than the average (>112.7 cm) presented lower yields and smaller seed sizes, thus decreasing the grain quality. The cluster analyses established groups of accessions with good yields (>30.1 g of seeds per plant) and stable morphological characteristics. Based on yield and morphological descriptors, the proposed selection index indicated four accessions as potential parents for amaranth breeding programs in Kora.

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人工飼料에 의한 蠶品種 選拔效果에 관한 硏究 (Effect of Artificial Diet on the Selection in the Silkworm, Bombyx mori)

  • 박광의;강석권
    • 한국잠사곤충학회지
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    • 제23권1호
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    • pp.32-37
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    • 1981
  • 누에의 人工飼科는 物理的 또는 化學的으로 뽕잎과는 그 性質이 매우 다르기 때문에 고치 生産性에 있어서 뽕잎의 경우 보다 不良한 成績인데 이 欠點을 解決하기 위하여는 우선 人工飼科에 適合한 品種이 育成되어야 한다. 그러므로 本試驗에서는 人工飼科育에 의하여 優良系統을 選拔했을 때에 發生하는 現象을 究明코저 遂行하였으며 그 結果는 다음과 같다. 1. 암고치의 繭層重과 繭層比率과의 相關關係는 Sa와 Y에서는 없다. 2. 숫고치에서 Sa系統의 全繭重과 繭層比率과는 相關關係가 없다. 3. 人工飼科育에 있어서 日本種系統과 中國種系統은 각각 選拔效果가 特異하게 나타났다. 4. 桑葉育에서 人工飼科育으로 전환하는 第1世代에서는 Sa와 Y系統이 모두 매우 不良한 成績을 나타냈으나 第 2, 3世代에서 急激하게 증가하여 選拔效果는 매우 컸다. 5. 第 4 世代에서는 致死率이 매우 높았기 때문에 第 5世代는 桑葉育으로 繼代 增殖하였다. 6. 第 6 世代에서 10世代까지 選拔效果는 계속 증가하였는데 繭層比率만은 例外이었다.

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Ball-end milling 에서의 경사면 가공시의 공구진동 특성에 관한 연구 (A Study on the tool vibration characteristics in inclined surface milling)

  • 조병무;유진호;이동주
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2004년도 춘계학술대회 논문집
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    • pp.15-20
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    • 2004
  • Inclined surface milling in the mould and die industries is one of the most commonly needed cutting process. For the variety and complexity of cutting characteristics in various cutting condition, it is difficult to select a optimal tool path orientation. The comparative results through FFT analysis in this study provide a guideline for the selection tool path orientation.

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Comparison of Ulnar Collateral Ligament Reconstruction Techniques in the Elbow of Sports Players

  • Moon, Jun-Gyu;Lee, Hee-Dong
    • Clinics in Shoulder and Elbow
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    • 제23권1호
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    • pp.41-47
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    • 2020
  • Ulnar collateral ligament injuries have been increasingly common in overhead throwing athletes. Ulnar collateral ligament reconstruction is the current gold standard for managing ulnar collateral ligament insufficiency, and numerous reconstruction techniques have been described. Although good clinical outcomes have been reported regarding return to sports, there are still several technical issues including exposure, graft selection and fixation, and ulnar nerve management. This review article summarizes a variety of surgical techniques of ulnar collateral ligament reconstructions and compares clinical outcomes and biomechanics.